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Trident FinderIntroduction to the Trident Finder The Trident Finder is a Pine Script indicator that identifies unique bullish and bearish patterns called Tridents. These patterns are based on specific relationships between consecutive candles, combined with a simple moving average (SMA) filter for added precision. By spotting these patterns, traders can potentially identify high-probability reversal points or trend continuations. Core Logic The indicator identifies two patterns: Bullish Trident A bullish Trident forms when: Candle (two candles back) has its High-Low range entirely above Candle (the preceding candle). Candle (the current candle) has its Open-High-Low-Close (OHLC) above the Low of Candle . Candle closes higher than it opens and higher than Candle ’s close. Candle closes below the SMA, indicating a potential upward breakout against the trend. Bearish Trident A bearish Trident forms when: Candle has its High-Low range entirely below Candle . Candle has its OHLC below the High of Candle . Candle closes lower than it opens and lower than Candle ’s close. Candle closes above the SMA, indicating a potential downward breakout against the trend. Visual Representation Bullish Tridents are marked with green "Up" labels below the candle. Bearish Tridents are marked with red "Down" labels above the candle. The SMA is plotted as a maroon line to serve as a filter for the Trident patterns.
Pine Script®指标
由LuxmiAI提供
Enhanced Volume Flow Analysis Pro ♾️ IFEnhanced Volume Flow Analysis Pro (EVFA Pro) A Comprehensive Guide to Understanding and Using Volume Flow Analysis Introduction The Enhanced Volume Flow Analysis Pro (EVFA Pro) represents a sophisticated approach to understanding market dynamics through the lens of volume analysis. This advanced technical indicator has been designed to peel back the layers of market activity, revealing the intricate dance between institutional and retail traders. By combining volume analysis, participant behavior patterns, and market condition recognition, EVFA Pro provides traders with a deeper understanding of market movements and potential opportunities. Understanding the Core Framework At its heart, EVFA Pro works by analyzing and categorizing trading volume based on several key characteristics. The indicator examines not just the raw volume, but also the context in which that volume occurs. It considers factors such as price movement, historical patterns, and market conditions to classify trading activity as either institutional or retail in nature. The framework adapts dynamically to different market environments. Whether you're trading stocks, ETFs, cryptocurrencies, or commodities, the indicator automatically adjusts its parameters to match the typical behavior patterns of each asset class. This adaptability extends to different trading styles as well, with optimizations for everything from quick-paced scalping to longer-term position trading. Market Participant Analysis One of the most powerful aspects of EVFA Pro is its ability to distinguish between institutional and retail trading activity. The indicator accomplishes this through a sophisticated analysis of volume patterns, order flow, and price action. Institutional trading typically leaves distinct footprints in the market - large, well-organized volume patterns that often occur at strategic price levels. EVFA Pro identifies these patterns and separates them from the more scattered, emotion-driven patterns typical of retail trading. The indicator maintains a constant watch on participation rates from both groups. When institutional participation rises above normal levels, it could signal the beginning of a significant move. Similarly, spikes in retail activity, especially when combined with certain price patterns, might indicate potential market turning points. Reading Market Conditions Market conditions are not static, and EVFA Pro recognizes this fundamental truth. The indicator continuously evaluates market conditions, classifying them into four main categories: normal, volatile, ranging, and trending. This classification isn't merely descriptive - it directly influences how the indicator interprets various patterns and signals. In volatile markets, the indicator becomes more conservative in its pattern recognition, requiring stronger confirmation before signaling potential opportunities. During ranging periods, it adjusts to look for shorter-term movements and potential breakout scenarios. In trending markets, the focus shifts to finding continuation patterns and potential exhaustion points. Pattern Recognition and Signal Generation Pattern recognition in EVFA Pro goes beyond simple technical patterns. The indicator looks for complex interactions between volume, price, and participant behavior. It identifies accumulation patterns - periods where institutional buyers are actively building positions, often while keeping price movements relatively subtle to avoid drawing attention. Similarly, it recognizes distribution patterns, where larger players are gradually reducing positions. Signal generation involves a sophisticated weighing of multiple factors. Volume strength, institutional participation, trend alignment, and price momentum all play roles in determining signal strength. This multi-factor approach helps reduce false signals and provides a more reliable indication of potential market moves. Visual Analysis Tools The visual components of EVFA Pro have been carefully designed to present complex information in an intuitive format. The main chart overlay uses color-coded volume bars to show the relative participation of institutional and retail traders. The intensity of these colors varies with volume significance, helping traders quickly identify potentially important market activity. The information table provides a real-time summary of market conditions, participant activity, and detected patterns. This dashboard-style display allows traders to quickly assess market conditions and potential opportunities without needing to analyze multiple indicators. Practical Application in Trading To use EVFA Pro effectively, traders should integrate it into a comprehensive trading strategy. The indicator works best when its signals are considered alongside other forms of analysis and risk management tools. Strong signals from EVFA Pro might suggest potential opportunities, but traders should always consider the broader market context, their own risk tolerance, and their overall trading plan. The indicator's alerts system can help traders stay informed of potentially significant market developments. However, these alerts should be viewed as starting points for analysis rather than automatic trading signals. Each alert provides specific information about the type of pattern or condition detected, allowing traders to quickly assess whether further investigation is warranted. Advanced Features and Customization EVFA Pro offers extensive customization options to suit different trading styles and preferences. Traders can adjust sensitivity levels, color schemes, and display options to match their needs. The indicator also includes special considerations for different trading sessions, allowing for more accurate analysis during pre-market, regular trading hours, and after-hours periods. Market Application and Interpretation Success with EVFA Pro comes from understanding not just what it shows, but why it shows what it does. The indicator's patterns and signals reflect real market dynamics - the actions and reactions of different types of traders. By understanding these underlying dynamics, traders can make more informed decisions about market opportunities and risks. Disclaimer This indicator and documentation are provided for educational and informational purposes only. Trading in financial markets involves substantial risk of loss and is not suitable for every investor. The analysis provided by the Enhanced Volume Flow Analysis Pro indicator should not be considered as financial advice or a recommendation to make any specific trade or investment. Users of this indicator should understand that: 1. Past performance is not indicative of future results 2. All trading decisions and their outcomes are the responsibility of the individual trader 3. This tool should be used as part of a comprehensive trading strategy that includes proper risk management and due diligence 4. Markets can be highly unpredictable, and no technical analysis tool can guarantee success Users should carefully consider their investment objectives, level of experience, and risk appetite before using this indicator. It is strongly recommended to consult with a qualified financial advisor before making any investment decisions.
Pine Script®指标
由Infinitefutures提供
Daily CRTDaily CRT Indicator The Daily CRT Indicator is a custom technical analysis tool designed to help traders identify and visualize key price patterns on the daily timeframe. Specifically, it detects and marks the "Sweep and Close Inside" pattern, which is a price action pattern that can signal potential trading opportunities. Key Features: Pattern Detection: The indicator detects two specific price action patterns: Sweep and Close Above: When the current price sweeps above the previous day’s high and closes inside the range, indicating a potential bullish breakout or continuation. Sweep and Close Below: When the current price sweeps below the previous day’s low and closes inside the range, signaling a potential bearish move. Horizontal Lines: The indicator automatically draws horizontal lines at the previous day’s high and low levels whenever a pattern is detected, providing a visual reference for key support and resistance zones. These lines are displayed in real-time on the chart and adjust dynamically as new patterns form. Customizable Line Appearance: Choose the color, thickness, and style (solid, dashed, or dotted) of the lines to fit your preferred chart aesthetic. Alert System: The indicator comes with built-in alerts. Set an alert to notify you when the Sweep and Close Inside pattern is detected, helping you stay on top of potential trade setups. History Management: Show History: Optionally display the detected patterns on previous bars (past patterns). Customizable History Duration: Control how far back you want to view the patterns, allowing you to adjust for a cleaner chart and focus on the most recent setups. Visual Labels: When the pattern is detected, the indicator can display a label under the bar (customizable) to highlight the occurrence of the pattern, making it easier for traders to spot potential trade signals. Built for the Daily Timeframe: This indicator is specifically designed to work on the daily timeframe and is ideal for swing traders and longer-term traders who are focused on the daily price action and want to capture patterns that indicate potential market reversals or breakouts. How It Works: The indicator monitors the previous day's price action and looks for situations where the current price action either sweeps the previous day's high or low and then closes inside the range of the previous day's bar. This type of price movement can often signal that a reversal or continuation is about to occur. The indicator marks these setups by drawing horizontal lines and optionally displays labels for quick identification. Settings & Customization: Line Color: Customize the color of the lines marking the previous day’s high and low. Line Thickness: Choose from different thickness levels for better visibility. Line Style: Pick from solid, dashed, or dotted styles. Show History: Toggle the display of historical patterns, with the option to control how many days back to show. Show Labels: Option to toggle the display of labels when the pattern is detected. Alert Condition: Receive alerts when a pattern is detected, ensuring you never miss a trade opportunity. Ideal For: Swing Traders: This indicator is perfect for traders looking to capture swings in the market based on daily price action. Pattern Traders: Those who trade based on specific chart patterns will benefit from this tool, as it identifies important reversal and breakout signals. Technical Analysts: Anyone who incorporates price action patterns into their strategy can use this tool as a supplemental analysis tool to improve their trading decisions. By using the Daily CRT Indicator, you’ll have a powerful tool to help you spot important price action patterns that may indicate key market moves. Whether you're looking to catch breakouts, reversals, or simply track significant support and resistance levels, this indicator is a versatile addition to your trading toolkit. This description provides a clear understanding of how the Daily CRT Indicator works and what value it offers, making it easy for traders to know if it fits their trading style. Feel free to tweak the description further depending on the details you’d like to emphasize.
Pine Script®指标
由TraderSenseii提供
2
Sell Signals EMA+SMAIndicator Overview: This indicator identifies sell signals based on candlestick patterns, volume conditions, and moving average confirmations. It also plots support and resistance levels based on pivot highs and pivot lows. You can configure different settings like pivot lengths, moving average periods, and candlestick pattern conditions for the sell signals. Configurable Settings: Pivot High Length: Defines the number of bars used to calculate the resistance levels (pivot highs). Pivot Low Length: Defines the number of bars used to calculate the support levels (pivot lows). Volume SMA Length: The period of the simple moving average (SMA) for volume. Used to filter signals based on high volume. Close SMA Length: The period of the simple moving average (SMA) for the close price. Used for confirmation of sell signals. Pin Bar High Ratio: The ratio for defining the size of the upper wick in a bearish pin bar. Pin Bar Low Ratio: The ratio for defining the size of the lower wick in a bearish pin bar. How It Works: Support and Resistance: The indicator plots red lines for resistance (pivot highs) and green lines for support (pivot lows). These levels are updated as new pivot points are detected based on the configured pivot lengths. Sell Signal Conditions: Candlestick Patterns: The indicator checks for two bearish patterns: Bearish Pin Bar: A candle with a large upper wick and small lower wick where the close is below the open. Bearish Engulfing: A candle where the current close is lower than the previous low, and the current open is higher than the previous high. Volume Condition: The volume must be above the configured simple moving average (SMA) of the volume. Confirmation: A sell signal is confirmed only when the price crosses below the configured SMA for the close price. Sell Signals: If all the conditions (candlestick pattern, volume, and confirmation) are met, the indicator will plot a red "Sell" label above the candle. Additionally, a blue triangle will appear above the candle to indicate that the sell signal has been confirmed. How to Use: Adjust the Settings: Open the settings of the indicator and adjust the parameters like pivot lengths, moving average periods, and candlestick pattern ratios based on your preferences. Identify Key Levels: Watch the red resistance and green support lines to identify key levels where price may reverse. Look for Sell Signals: When a red "Sell" label appears, it indicates a possible sell opportunity. Ensure that a blue triangle (confirmation) also appears to validate the sell signal. Manage Risk: Use the support and resistance levels along with the sell signals to define your entry, stop-loss, and take-profit levels. This indicator helps you identify potential bearish reversal points with configurable settings for added flexibility.
Pine Script®指标
由Arman2lo提供
MTOBVR_CheckOverview. This indicator checks to see if the OBV follows a specific pattern and visually displays the trend of the OBV on different time legs. It also has the ability to set alerts when certain conditions are met. How to use Setting up the indicator Add a new indicator on a chart in TradingView. Copy the code into the “Pine Script™ Editor” and save it as a new script. Apply the script to your chart. Indicator Functions OBV Calculation Calculates OBV for each time frame (5-minute, 15-minute, 30-minute, 1-hour, 4-hour, daily, and weekly) and displays it on the chart OBV is an indicator that combines price changes and trading volume. Pattern Detection Detects whether a particular pattern, such as a double or triple bottom, appears in the OBV. This allows us to identify buy or sell signals. When these patterns are detected, the background color changes. Background Color Change When an OBV forms a particular pattern, the background color of the chart changes. This provides visual confirmation that a pattern has appeared. Minimum pattern (min_bool): when the 5-, 15-, and 30-minute conditions for OBV are met. High hourly pattern (h_bool): when the condition is met for the 1-hour, 4-hour, and daily legs of the OBV. One-week pattern (range_obv_1w_bool): when the condition is met for the 1-week OBV pattern. When all conditions are met: when the minimum pattern, high hourly pattern, and one-week pattern are all met. Alert Settings You can set alerts when certain conditions are met. This allows you to receive signals in real time. Minimum conditions (min_bool): conditions at 5, 15, and 30 minutes of OBV. High timeframe condition (h_bool): condition on the 1-hour, 4-hour, and daily legs of the OBV. When all conditions are met: When all of the above conditions are met. One-week condition (range_obv_1w_bool): Condition for the one-week leg of the OBV. When all conditions are met: when the minimum, high time leg, and one week conditions are all met. Arrows OBV_ALL_UP: A green triangle arrow is displayed when the OBV is rising on all time legs. OBV_ALL_DOWN: A red triangle arrow appears when the OBV is falling on all time legs. Usage Notes Time Leg Settings: This script uses OBVs of different time legs to detect patterns. Depending on the time leg used, appropriate settings and interpretation are required. Alert settings: In order to activate the alert function, the alert conditions and notification method must be configured using TradingView's alert system. This indicator allows you to visually see trends and patterns in the OBV across multiple time frames, allowing you to make more informed trading decisions.
Pine Script®指标
由Unjuno提供
2
WaveTrend With Divs & RSI(STOCH) Divs by WeloTradesWaveTrend with Divergences & RSI(STOCH) Divergences by WeloTrades Overview The "WaveTrend With Divergences & RSI(STOCH) Divergences" is an advanced Pine Script™ indicator designed for TradingView, offering a multi-dimensional analysis of market conditions. This script integrates several technical indicators—WaveTrend, Money Flow Index (MFI), RSI, and Stochastic RSI—into a cohesive tool that identifies both regular and hidden divergences across these indicators. These divergences can indicate potential market reversals and provide critical trading opportunities. This indicator is not just a simple combination of popular tools; it offers extensive customization options, organized data presentation, and valuable trading signals that are easy to interpret. Whether you're a day trader or a long-term investor, this script enhances your ability to make informed decisions. Originality and Usefulness The originality of this script lies in its integration and the synergy it creates among the indicators used. Rather than merely combining multiple indicators, this script allows them to work together, enhancing each other's strengths. For example, by identifying divergences across WaveTrend, RSI, and Stochastic RSI simultaneously, the script provides multiple layers of confirmation, which reduces the likelihood of false signals and increases the reliability of trading signals. The usefulness of this script is apparent in its ability to offer a consolidated view of market dynamics. It not only simplifies the analytical process by combining different indicators but also provides deeper insights through its divergence detection features. This comprehensive approach is designed to help traders identify potential market reversals, confirm trends, and ultimately make more informed trading decisions. How the Components Work Together 1. Cross-Validation of Signals WaveTrend: This indicator is primarily used to identify overbought and oversold conditions, as well as potential buy and sell signals. WaveTrend's ability to smooth price data and reduce noise makes it a reliable tool for identifying trend reversals. RSI & Stochastic RSI: These momentum oscillators are used to measure the speed and change of price movements. While RSI identifies general overbought and oversold conditions, Stochastic RSI offers a more granular view by tracking the RSI’s level relative to its high-low range over a period of time. When these indicators align with WaveTrend signals, it adds a layer of confirmation that enhances the reliability of the signals. Money Flow Index (MFI): This volume-weighted indicator assesses the inflow and outflow of money in an asset, giving insights into buying and selling pressure. By analyzing the MFI alongside WaveTrend and RSI indicators, the script can cross-validate signals, ensuring that buy or sell signals are supported by actual market volume. Example Bullish scenario: When a bullish divergence is detected on the RSI and confirmed by a corresponding bullish signal on the WaveTrend, along with an increasing Money Flow Index, the probability of a successful trade setup increases. This cross-validation minimizes the risk of acting on false signals, which might occur when relying on a single indicator. Example Bearish scenario: When a bearish divergence is detected on the RSI and confirmed by a corresponding bearish signal on the WaveTrend, along with an decreasing Money Flow Index, the probability of a successful trade setup increases. This cross-validation minimizes the risk of acting on false signals, which might occur when relying on a single indicator. 2. Divergence Detection and Market Reversals Regular Divergences: Occur when the price action and an indicator (like RSI or WaveTrend) move in opposite directions. Regular bullish divergence signals a potential upward reversal when the price makes a lower low while the indicator makes a higher low. Conversely, regular bearish divergence suggests a downward reversal when the price makes a higher high, but the indicator makes a lower high. Hidden Divergences: These occur when the price action and indicator move in the same direction, but with different momentum. Hidden bullish divergence suggests the continuation of an uptrend, while hidden bearish divergence suggests the continuation of a downtrend. By detecting these divergences across multiple indicators, the script identifies potential trend reversals or continuations with greater accuracy. Example: The script might detect a regular bullish divergence on the WaveTrend while simultaneously identifying a hidden bullish divergence on the RSI. This combination suggests that while a trend reversal is possible, the overall market sentiment remains bullish, providing a nuanced view of the market. A Regular Bullish Divergence Example: A Hidden Bullish Divergence Example: A Regular Bearish Divergence Example: A Hidden Bearish Divergence Example: 3. Trend Strength and Sentiment Analysis WaveTrend: Measures the strength and direction of the trend. By identifying the extremes of market sentiment (overbought and oversold levels), WaveTrend provides early signals for potential reversals. Money Flow Index (MFI): Assesses the underlying sentiment by analyzing the flow of money. A rising MFI during an uptrend confirms strong buying pressure, while a falling MFI during a downtrend confirms selling pressure. This helps traders assess whether a trend is likely to continue or reverse. RSI & Stochastic RSI: Offer a momentum-based perspective on the trend’s strength. High RSI or Stochastic RSI values indicate that the asset may be overbought, suggesting a potential reversal. Conversely, low values indicate oversold conditions, signaling a possible upward reversal. Example: During a strong uptrend, the WaveTrend & RSI's might signal overbought conditions, suggesting caution. If the MFI also shows decreasing buying pressure and the RSI reaches extreme levels, these indicators together suggest that the trend might be weakening, and a reversal could be imminent. Example: During a strong downtrend, the WaveTrend & RSI's might signal oversold conditions, suggesting caution. If the MFI also shows increasing buying pressure and the RSI reaches extreme levels, these indicators together suggest that the trend might be weakening, and a reversal could be imminent. Conclusion The "WaveTrend With Divergences & RSI(STOCH) Divergences" script offers a powerful, integrated approach to technical analysis by combining trend, momentum, and sentiment indicators into a single tool. Its unique value lies in the cross-validation of signals, the ability to detect divergences, and the comprehensive view it provides of market conditions. By offering traders multiple layers of analysis and customization options, this script is designed to enhance trading decisions, reduce false signals, and provide clearer insights into market dynamics. WAVETREND Display of WaveTrend: Display of WaveTrend Setting: WaveTrend Indicator Explanation The WaveTrend indicator helps identify overbought and oversold conditions, as well as potential buy and sell signals. Its flexibility allows traders to adapt it to various strategies, making it a versatile tool in technical analysis. WaveTrend Input Settings: WT MA Source: Default: HLC3 What it is: The data source used for calculating the WaveTrend Moving Average. What it does: Determines the input data to smooth price action and filter noise. Example: Using HLC3 (average of High, Low, Close) provides a smoother data representation compared to using just the closing price. Length (WT MA Length): Default: 3 What it is: The period used to calculate the Moving Average. What it does: Adjusts the sensitivity of the WaveTrend indicator, where shorter lengths respond more quickly to price changes. Example: A length of 3 is ideal for short-term analysis, providing quick reactions to price movements. WT Channel Length & Average: Default: WT Channel Length = 9, Average = 12 What it is: Lengths used to calculate the WaveTrend channel and its average. What it does: Smooths out the WaveTrend further, reducing false signals by averaging over a set period. Example: Higher values reduce noise and help in identifying more reliable trends. Channel: Style, Width, and Color: What it is: Customization options for the WaveTrend channel's appearance. What it does: Adjusts how the channel is displayed, including line style, width, and color. Example: Choosing an area style with a distinct color can make the WaveTrend indicator clearly visible on the chart. WT Buy & Sell Signals: What it is: Settings to enable and customize buy and sell signals based on WaveTrend. What it does: Allows for the display of buy/sell signals and customization of their shapes and colors. When it gives a Buy Signal: Generated when the WaveTrend line crosses below an oversold level and then rises back, indicating a potential upward price movement. When it gives a Sell Signal: Triggered when the WaveTrend line crosses above an overbought level and then declines, suggesting a possible downward trend. Example: The script identifies these signals based on mean reversion principles, where prices tend to revert to the mean after reaching extremes. Traders can use these signals to time their entries and exits effectively. WAVETREND OVERBOUGTH AND OVERSOLD LEVELS Display of WaveTrend with Overbought & Oversold Levels: Display of WaveTrend Overbought & Oversold Levels Settings: WaveTrend Overbought & Oversold Levels Explanation WT OB & OS Levels: Default: OB Level 1 = 53, OB Level 2 = 60, OS Level 1 = -53, OS Level 2 = -60 What it is: The default overbought and oversold levels used by the WaveTrend indicator to signal potential market reversals. What it does: When the WaveTrend crosses above the OB levels, it indicates an overbought condition, potentially signaling a reversal or selling opportunity. Conversely, when it crosses below the OS levels, it indicates an oversold condition, potentially signaling a reversal or buying opportunity. Example: A trader might use these levels to time entry or exit points, such as selling when the WaveTrend crosses into the overbought zone or buying when it crosses into the oversold zone. Show OB/OS Levels: Default: True What it is: Toggle options to show or hide the overbought and oversold levels on your chart. What it does: When enabled, these levels will be visually represented on your chart, helping you to easily identify when the market reaches these critical thresholds. Example: Displaying these levels can help you quickly see when the WaveTrend is approaching or has crossed into overbought or oversold territory, allowing for more informed trading decisions. Line Style, Width, and Color for OB/OS Levels: What it is: Options to customize the appearance of the OB and OS levels on your chart, including line style (solid, dotted, dashed), line width, and color. What it does: These settings allow you to adjust how prominently these levels are displayed on your chart, which can help you better visualize and respond to overbought or oversold conditions. Example: Setting a thicker, dashed line in a contrasting color can make these levels stand out more clearly, aiding in quick visual identification. Example of Use: Scenario: A trader wants to identify potential selling points when the market is overbought. They set the OB levels at 53 and 60, choosing a solid, red line style to make these levels clear on their chart. As the WaveTrend crosses above 53, they monitor for further price action, and upon crossing 60, they consider initiating a sell order. WAVETREND DIVERGENCES Display of WaveTrend Divergence: Display of WaveTrend Divergence Setting: WaveTrend Divergence Indicator Explanation The WaveTrend Divergence feature helps identify potential reversal points in the market by highlighting divergences between the price and the WaveTrend indicator. Divergences can signal a shift in market momentum, indicating a possible trend reversal. This component allows traders to visualize and customize divergence detection on their charts. WaveTrend Divergence Input Settings: Potential Reversal Range: Default: 28 What it is: The number of bars to look back when detecting potential tops and bottoms. What it does: Sets the range for identifying possible reversal points based on historical data. Example: A setting of 28 looks back across the last 28 bars to find reversal points, offering a balance between responsiveness and reliability. Reversal Minimum LVL OB & OS: Default: OB = 35, OS = -35 What it is: The minimum overbought and oversold levels required for detecting potential reversals. What it does: Adjusts the thresholds that trigger a reversal signal based on the WaveTrend indicator. Example: A higher OB level reduces the sensitivity to overbought conditions, potentially filtering out false reversal signals. Lookback Bar Left & Right: Default: Left = 10, Right = 1 What it is: The number of bars to the left and right used to confirm a top or bottom. What it does: Helps determine the position of peaks and troughs in the price action. Example: A larger left lookback captures more extended price action before the peak, while a smaller right lookback focuses on the immediate past. Lookback Range Min & Max: Default: Min = 5, Max = 60 What it is: The minimum and maximum range for the lookback period when identifying divergences. What it does: Fine-tunes the detection of divergences by controlling the range over which the indicator looks back. Example: A wider range increases the chances of detecting divergences across different market conditions. R.Div Minimum LVL OB & OS: Default: OB = 53, OS = -53 What it is: The threshold levels for detecting regular divergences. What it does: Adjusts the sensitivity of the regular divergence detection. Example: Higher thresholds make the detection more conservative, identifying only stronger divergence signals. H.Div Minimum LVL OB & OS: Default: OB = 20, OS = -20 What it is: The threshold levels for detecting hidden divergences. What it does: Similar to regular divergence settings but for hidden divergences, which can indicate potential reversals that are less obvious. Example: Lower thresholds make the hidden divergence detection more sensitive, capturing subtler market shifts. Divergence Label Options: What it is: Options to display and customize labels for regular and hidden divergences. What it does: Allows users to visually differentiate between regular and hidden divergences using customizable labels and colors. Example: Using different colors and symbols for regular (R) and hidden (H) divergences makes it easier to interpret signals on the chart. Text Size and Color: What it is: Customization options for the size and color of divergence labels. What it does: Adjusts the readability and visibility of divergence labels on the chart. Example: Larger text size may be preferred for charts with a lot of data, ensuring divergence labels stand out clearly. FAST & SLOW MONEY FLOW INDEX Display of Fast & Slow Money Flow: Display of Fast & Slow Money Flow Setting: Fast Money Flow Indicator Explanation The Fast Money Flow indicator helps traders identify the flow of money into and out of an asset over a shorter time frame. By tracking the volume-weighted average of price movements, it provides insights into buying and selling pressure in the market, which can be crucial for making timely trading decisions. Fast Money Flow Input Settings: Fast Money Flow: Length: Default: 9 What it is: The period used for calculating the Fast Money Flow. What it does: Determines the sensitivity of the Money Flow calculation. A shorter length makes the indicator more responsive to recent price changes, while a longer length provides a smoother signal. Example: A length of 9 is suitable for traders looking to capture quick shifts in market sentiment over a short period. Fast MFI Area Multiplier: Default: 5 What it is: A multiplier applied to the Money Flow area calculation. What it does: Adjusts the size of the Money Flow area on the chart, effectively amplifying or reducing the visual impact of the indicator. Example: A higher multiplier can make the Money Flow more prominent on the chart, aiding in the quick identification of significant money flow changes. Y Position (Y Pos): Default: 0 What it is: The vertical position adjustment for the Fast Money Flow plot on the chart. What it does: Allows you to move the Money Flow plot up or down on the chart to avoid overlap with other indicators. Example: Adjusting the Y Position can be useful if you have multiple indicators on the chart and need to maintain clarity. Fast MFI Style, Width, and Color: What it is: Customization options for how the Fast Money Flow is displayed on the chart. What it does: Enables you to choose between different plot styles (line or area), set the line width, and select colors for positive and negative money flow. Example: Using different colors for positive (green) and negative (red) money flow helps to visually distinguish between periods of buying and selling pressure. Slow Money Flow Indicator Explanation The Slow Money Flow indicator tracks the flow of money into and out of an asset over a longer time frame. It provides a broader perspective on market sentiment, smoothing out short-term fluctuations and highlighting longer-term trends. Slow Money Flow Input Settings: Slow Money Flow: Length: Default: 12 What it is: The period used for calculating the Slow Money Flow. What it does: A longer period smooths out short-term fluctuations, providing a clearer view of the overall money flow trend. Example: A length of 12 is often used by traders looking to identify sustained trends rather than short-term volatility. Slow MFI Area Multiplier: Default: 5 What it is: A multiplier applied to the Slow Money Flow area calculation. What it does: Adjusts the size of the Money Flow area on the chart, helping to emphasize the indicator’s significance. Example: Increasing the multiplier can help highlight the Money Flow in markets with less volatile price action. Y Position (Y Pos): Default: 0 What it is: The vertical position adjustment for the Slow Money Flow plot on the chart. What it does: Allows for vertical repositioning of the Money Flow plot to maintain chart clarity when used with other indicators. Example: Adjusting the Y Position ensures that the Slow Money Flow indicator does not overlap with other key indicators on the chart. Slow MFI Style, Width, and Color: What it is: Customization options for the visual display of the Slow Money Flow on the chart. What it does: Allows you to choose the plot style (line or area), set the line width, and select colors to differentiate positive and negative money flow. Example: Customizing the colors for the Slow Money Flow allows traders to quickly distinguish between buying and selling trends in the market. RSI Display of RSI: Display of RSI Setting: RSI Indicator Explanation The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. It is typically used to identify overbought or oversold conditions in the market, providing traders with potential signals for buying or selling. RSI Input Settings: RSI Source: Default: Close What it is: The data source used for calculating the RSI. What it does: Determines which price data (e.g., close, open) is used in the RSI calculation, affecting how the indicator reflects market conditions. Example: Using the closing price is standard practice, as it reflects the final agreed-upon price for a given time period. MA Type (Moving Average Type): Default: SMA What it is: The type of moving average applied to the RSI for smoothing purposes. What it does: Changes the smoothing technique of the RSI, impacting how quickly the indicator responds to price movements. Example: Using an Exponential Moving Average (EMA) will make the RSI more sensitive to recent price changes compared to a Simple Moving Average (SMA). RSI Length: Default: 14 What it is: The period over which the RSI is calculated. What it does: Adjusts the sensitivity of the RSI. A shorter length (e.g., 7) makes the RSI more responsive to recent price changes, while a longer length (e.g., 21) smooths out the indicator, reducing the number of signals. Example: A 14-period RSI is commonly used for identifying overbought and oversold conditions, providing a balance between sensitivity and reliability. RSI Plot Style, Width, and Color: What it is: Options to customize the appearance of the RSI line on the chart. What it does: Allows you to adjust the visual representation of the RSI, including the line width and color. Example: Setting a thicker line width and a bright color like yellow can make the RSI more visible on the chart, aiding in quick analysis. Display of RSI with RSI Moving Average: RSI Moving Average Explanation The RSI Moving Average adds a smoothing layer to the RSI, helping to filter out noise and provide clearer signals. It is particularly useful for confirming trend strength and identifying potential reversals. RSI Moving Average Input Settings: MA Length: Default: 14 What it is: The period over which the Moving Average is calculated on the RSI. What it does: Adjusts the smoothing of the RSI, helping to reduce false signals and provide a clearer trend indication. Example: A 14-period moving average on the RSI can smooth out short-term fluctuations, making it easier to spot genuine overbought or oversold conditions. MA Plot Style, Width, and Color: What it is: Customization options for how the RSI Moving Average is displayed on the chart. What it does: Allows you to adjust the line width and color, helping to differentiate the Moving Average from the main RSI line. Example: Using a contrasting color for the RSI Moving Average (e.g., magenta) can help it stand out against the main RSI line, making it easier to interpret the indicator. STOCHASTIC RSI Display of Stochastic RSI: Display of Stochastic RSI Setting: Stochastic RSI Indicator Explanation The Stochastic RSI (Stoch RSI) is a momentum oscillator that measures the level of the RSI relative to its high-low range over a set period of time. It is used to identify overbought and oversold conditions, providing potential buy and sell signals based on momentum shifts. Stochastic RSI Input Settings: Stochastic RSI Length: Default: 14 What it is: The period over which the Stochastic RSI is calculated. What it does: Adjusts the sensitivity of the Stochastic RSI. A shorter length makes the indicator more responsive to recent price changes, while a longer length smooths out the fluctuations, reducing noise. Example: A length of 14 is commonly used to identify momentum shifts over a medium-term period, providing a balanced view of potential overbought or oversold conditions. Display of Stochastic RSI %K Line: Stochastic RSI %K Line Explanation The %K line in the Stochastic RSI is the main line that tracks the momentum of the RSI over the chosen period. It is the faster-moving component of the Stochastic RSI, often used to identify entry and exit points. Stochastic RSI %K Input Settings: %K Length: Default: 3 What it is: The period used for smoothing the %K line of the Stochastic RSI. What it does: Smoothing the %K line helps reduce noise and provides a clearer signal for potential market reversals. Example: A smoothing length of 3 is common, offering a balance between responsiveness and noise reduction, making it easier to spot significant momentum shifts. %K Plot Style, Width, and Color: What it is: Customization options for the visual representation of the %K line. What it does: Allows you to adjust the appearance of the %K line on the chart, including line width and color, to fit your visual preferences. Example: Setting a blue color and a medium width for the %K line makes it stand out clearly on the chart, helping to identify key points of momentum change. %K Fill Color (Above): What it is: The fill color that appears above the %K line on the chart. What it does: Adds visual clarity by shading the area above the %K line, making it easier to interpret the direction and strength of momentum. Example: Using a light blue fill color above the %K line can help emphasize bullish momentum, making it visually prominent. Display of Stochastic RSI %D Line: Stochastic RSI %D Line Explanation The %D line in the Stochastic RSI is a moving average of the %K line and acts as a signal line. It is slower-moving compared to the %K line and is often used to confirm signals or identify potential reversals when it crosses the %K line. Stochastic RSI %D Input Settings: %D Length: Default: 3 What it is: The period used for smoothing the %D line of the Stochastic RSI. What it does: Smooths out the %D line, making it less sensitive to short-term fluctuations and more reliable for identifying significant market signals. Example: A length of 3 is often used to provide a smoothed signal line that can help confirm trends or reversals indicated by the %K line. %D Plot Style, Width, and Color: What it is: Customization options for the visual representation of the %D line. What it does: Allows you to adjust the appearance of the %D line on the chart, including line width and color, to match your preferences. Example: Setting an orange color and a thicker line width for the %D line can help differentiate it from the %K line, making crossover points easier to spot. %D Fill Color (Below): What it is: The fill color that appears below the %D line on the chart. What it does: Adds visual clarity by shading the area below the %D line, making it easier to interpret bearish momentum. Example: Using a light orange fill color below the %D line can highlight bearish conditions, making it visually easier to identify. RSI & STOCHASTIC RSI OVERBOUGHT AND OVERSOLD LEVELS Display of RSI & Stochastic with Overbought & Oversold Levels: Display of RSI & Stochastic Overbought & Oversold Settings: RSI & Stochastic Overbought & Oversold Levels Explanation The Overbought (OB) and Oversold (OS) levels for RSI and Stochastic RSI indicators are key thresholds that help traders identify potential reversal points in the market. These levels are used to determine when an asset is likely overbought or oversold, which can signal a potential trend reversal. RSI & Stochastic Overbought & Oversold Input Settings: RSI & Stochastic Level 1 Overbought (OB) & Oversold (OS): Default: OB Level = 170, OS Level = 130 What it is: The first set of thresholds for determining overbought and oversold conditions for both RSI and Stochastic RSI indicators. What it does: When the RSI or Stochastic RSI crosses above the overbought level, it suggests that the asset might be overbought, potentially signaling a sell opportunity. Conversely, when these indicators drop below the oversold level, it suggests the asset might be oversold, potentially signaling a buy opportunity. Example: If the RSI crosses above 170, traders might look for signs of a potential trend reversal to the downside, while a cross below 130 might indicate a reversal to the upside. RSI & Stochastic Level 2 Overbought (OB) & Oversold (OS): Default: OB Level = 180, OS Level = 120 What it is: The second set of thresholds for determining overbought and oversold conditions for both RSI and Stochastic RSI indicators. What it does: These levels provide an additional set of reference points, allowing traders to differentiate between varying degrees of overbought and oversold conditions, potentially leading to more refined trading decisions. Example: When the RSI crosses above 180, it might indicate an extreme overbought condition, which could be a stronger signal for a sell, while a cross below 120 might indicate an extreme oversold condition, which could be a stronger signal for a buy. RSI & Stochastic Overbought (OB) Band Customization: OB Level 1: Width, Style, and Color: What it is: Customization options for the visual appearance of the first overbought band on the chart. What it does: Allows you to set the line width, style (solid, dotted, dashed), and color for the first overbought band, enhancing its visibility on the chart. Example: A dashed red line with medium width can clearly indicate the first overbought level, helping traders quickly identify when this threshold is crossed. OB Level 2: Width, Style, and Color: What it is: Customization options for the visual appearance of the second overbought band on the chart. What it does: Allows you to set the line width, style, and color for the second overbought band, providing a clear distinction from the first band. Example: A dashed red line with a slightly thicker width can represent a more significant overbought level, making it easier to differentiate from the first level. RSI & Stochastic Oversold (OS) Band Customization: OS Level 1: Width, Style, and Color: What it is: Customization options for the visual appearance of the first oversold band on the chart. What it does: Allows you to set the line width, style (solid, dotted, dashed), and color for the first oversold band, making it visually prominent. Example: A dashed green line with medium width can highlight the first oversold level, helping traders identify potential buying opportunities. OS Level 2: Width, Style, and Color: What it is: Customization options for the visual appearance of the second oversold band on the chart. What it does: Allows you to set the line width, style, and color for the second oversold band, providing an additional visual cue for extreme oversold conditions. Example: A dashed green line with a thicker width can represent a more significant oversold level, offering a stronger visual cue for potential buying opportunities. RSI DIVERGENCES Display of RSI Divergence Labels: Display of RSI Divergence Settings: RSI Divergence Lookback Explanation The RSI Divergence settings allow traders to customize the parameters for detecting divergences between the RSI (Relative Strength Index) and price action. Divergences occur when the price moves in the opposite direction to the RSI, potentially signaling a trend reversal. These settings help refine the accuracy of divergence detection by adjusting the lookback period and range. ( NOTE: This setting only imply to the RSI. This doesn't effect the STOCHASTIC RSI. ) RSI Divergence Lookback Input Settings: Lookback Left: Default: 10 What it is: The number of bars to look back from the current bar to detect a potential divergence. What it does: Defines the left-side lookback period for identifying pivot points in the RSI, which are used to spot divergences. A longer lookback period may capture more significant trends but could also miss shorter-term divergences. Example: A setting of 10 bars means the script will consider pivot points up to 10 bars before the current bar to check for divergence patterns. Lookback Right: Default: 1 What it is: The number of bars to look forward from the current bar to complete the divergence pattern. What it does: Defines the right-side lookback period for confirming a potential divergence. This setting helps ensure that the identified divergence is valid by allowing the script to check subsequent bars for confirmation. Example: A setting of 1 bar means the script will look at the next bar to confirm the divergence pattern, ensuring that the signal is reliable. Lookback Range Min: Default: 5 What it is: The minimum range of bars required to detect a valid divergence. What it does: Sets a lower bound on the range of bars considered for divergence detection. A lower minimum range might capture more frequent but possibly less significant divergences. Example: Setting the minimum range to 5 ensures that only divergences spanning at least 5 bars are considered, filtering out very short-term patterns. Lookback Range Max: Default: 60 What it is: The maximum range of bars within which a divergence can be detected. What it does: Sets an upper bound on the range of bars considered for divergence detection. A larger maximum range might capture more significant divergences but could also include less relevant long-term patterns. Example: Setting the maximum range to 60 bars allows the script to detect divergences over a longer timeframe, capturing more extended divergence patterns that could indicate major trend reversals. RSI Divergence Explanation RSI divergences occur when the RSI indicator and price action move in opposite directions, signaling potential trend reversals. This section of the settings allows traders to customize the appearance and detection of both regular and hidden bullish and bearish divergences. RSI Divergence Input Settings: R. Bullish Div Label: Default: True What it is: An option to display labels for regular bullish divergences. What it does: Enables or disables the visibility of labels that mark regular bullish divergences, where the price makes a lower low while the RSI makes a higher low, indicating a potential upward reversal. Example: A trader might use this to spot buying opportunities in a downtrend when a bullish divergence suggests the trend may be reversing. Bullish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of regular bullish divergence labels. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: Selecting a green label color and a distinct line width makes bullish divergences easily recognizable on your chart. R. Bearish Div Label: Default: True What it is: An option to display labels for regular bearish divergences. What it does: Enables or disables the visibility of labels that mark regular bearish divergences, where the price makes a higher high while the RSI makes a lower high, indicating a potential downward reversal. Example: A trader might use this to spot selling opportunities in an uptrend when a bearish divergence suggests the trend may be reversing. Bearish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of regular bearish divergence labels. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: Choosing a red label color and a specific line width makes bearish divergences clearly stand out on your chart. H. Bullish Div Label: Default: False What it is: An option to display labels for hidden bullish divergences. What it does: Enables or disables the visibility of labels that mark hidden bullish divergences, where the price makes a higher low while the RSI makes a lower low, indicating potential continuation of an uptrend. Example: A trader might use this to confirm an existing uptrend when a hidden bullish divergence signals continued buying strength. Hidden Bullish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of hidden bullish divergence labels. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: A softer green color with a thinner line width might be chosen to subtly indicate hidden bullish divergences, keeping the chart clean while providing useful information. H. Bearish Div Label: Default: False What it is: An option to display labels for hidden bearish divergences. What it does: Enables or disables the visibility of labels that mark hidden bearish divergences, where the price makes a lower high while the RSI makes a higher high, indicating potential continuation of a downtrend. Example: A trader might use this to confirm an existing downtrend when a hidden bearish divergence signals continued selling pressure. Hidden Bearish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of hidden bearish divergence labels. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: A muted red color with a thinner line width might be selected to indicate hidden bearish divergences without overwhelming the chart. Divergence Text Size and Color: Default: S (Small) What it is: Settings to adjust the size and color of text labels for RSI divergences. What it does: Allows you to customize the size and color of text labels that display the divergence information on the chart. Example: Choosing a small text size with a bright white color can make divergence labels easily readable without taking up too much space on the chart. STOCHASTIC DIVERGENCES Display of Stochastic RSI Divergence Labels: Display of Stochastic RSI Divergence Settings: Stochastic RSI Divergence Explanation Stochastic RSI divergences occur when the Stochastic RSI indicator and price action move in opposite directions, signaling potential trend reversals. These settings allow traders to customize the detection and visual representation of both regular and hidden bullish and bearish divergences in the Stochastic RSI. Stochastic RSI Divergence Input Settings: R. Bullish Div Label: Default: True What it is: An option to display labels for regular bullish divergences in the Stochastic RSI. What it does: Enables or disables the visibility of labels that mark regular bullish divergences, where the price makes a lower low while the Stochastic RSI makes a higher low, indicating a potential upward reversal. Example: A trader might use this to spot buying opportunities in a downtrend when a bullish divergence in the Stochastic RSI suggests the trend may be reversing. Bullish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of regular bullish divergence labels in the Stochastic RSI. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: Selecting a blue label color and a distinct line width makes bullish divergences in the Stochastic RSI easily recognizable on your chart. R. Bearish Div Label: Default: True What it is: An option to display labels for regular bearish divergences in the Stochastic RSI. What it does: Enables or disables the visibility of labels that mark regular bearish divergences, where the price makes a higher high while the Stochastic RSI makes a lower high, indicating a potential downward reversal. Example: A trader might use this to spot selling opportunities in an uptrend when a bearish divergence in the Stochastic RSI suggests the trend may be reversing. Bearish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of regular bearish divergence labels in the Stochastic RSI. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: Choosing an orange label color and a specific line width makes bearish divergences in the Stochastic RSI clearly stand out on your chart. H. Bullish Div Label: Default: False What it is: An option to display labels for hidden bullish divergences in the Stochastic RSI. What it does: Enables or disables the visibility of labels that mark hidden bullish divergences, where the price makes a higher low while the Stochastic RSI makes a lower low, indicating potential continuation of an uptrend. Example: A trader might use this to confirm an existing uptrend when a hidden bullish divergence in the Stochastic RSI signals continued buying strength. Hidden Bullish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of hidden bullish divergence labels in the Stochastic RSI. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: A softer blue color with a thinner line width might be chosen to subtly indicate hidden bullish divergences, keeping the chart clean while providing useful information. H. Bearish Div Label: Default: False What it is: An option to display labels for hidden bearish divergences in the Stochastic RSI. What it does: Enables or disables the visibility of labels that mark hidden bearish divergences, where the price makes a lower high while the Stochastic RSI makes a higher high, indicating potential continuation of a downtrend. Example: A trader might use this to confirm an existing downtrend when a hidden bearish divergence in the Stochastic RSI signals continued selling pressure. Hidden Bearish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of hidden bearish divergence labels in the Stochastic RSI. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: A muted orange color with a thinner line width might be selected to indicate hidden bearish divergences without overwhelming the chart. Divergence Text Size and Color: Default: S (Small) What it is: Settings to adjust the size and color of text labels for Stochastic RSI divergences. What it does: Allows you to customize the size and color of text labels that display the divergence information on the chart. Example: Choosing a small text size with a bright white color can make divergence labels easily readable without taking up too much space on the chart. Alert System: Custom Alerts for Divergences and Reversals: What it is: The script includes customizable alert conditions to notify you of detected divergences or potential reversals based on WaveTrend, RSI, and Stochastic RSI. What it does: Helps you stay informed of key market movements without constantly monitoring the charts, enabling timely decisions. Example: Setting an alert for regular bearish divergence on the WaveTrend could notify you of a potential sell opportunity as soon as it is detected. How to Use Alerts: Set up custom alerts in TradingView based on these conditions to be notified of potential trading opportunities. Alerts are triggered when the indicator detects conditions that match the selected criteria, such as divergences or potential reversals. By following the detailed guidelines and examples above, you can effectively use and customize this powerful indicator to suit your trading strategy. For further understanding and customization, refer to the input settings within the script and adjust them to match your trading style and preferences. How Components Work Together Synergy and Cross-Validation: The indicator combines multiple layers of analysis to validate trading signals. For example, a WaveTrend buy signal that coincides with a bullish divergence in RSI and positive fast money flow is likely to be more reliable than any single indicator’s signal. This cross-validation reduces the likelihood of false signals and enhances decision-making. Comprehensive Market Analysis: Each component plays a role in analyzing different aspects of the market. WaveTrend focuses on trend strength, Money Flow indicators assess market sentiment, while RSI and Stochastic RSI offer detailed views of price momentum and potential reversals. Ideal For Traders who require a reliable, multifaceted tool for detecting market trends and reversals. Investors seeking a deeper understanding of market dynamics across different timeframes and conditions, whether in forex, equities, or cryptocurrency markets. This script is designed to provide a comprehensive tool for technical analysis, combining multiple indicators and divergence detection into one versatile and customizable script. It is especially useful for traders who want to monitor various indicators simultaneously and look for convergence or divergence signals across different technical tools. Acknowledgements Special thanks to these amazing creators for inspiration and their creations: I want to thank these amazing creators for creating there amazing indicators , that inspired me and also gave me a head start by making this indicator! Without their amazing indicators it wouldn't be possible! vumanchu: VuManChu Cipher B Divergences. MisterMoTa: RSI + Divergences + Alerts . DevLucem: Plain Stochastic Divergence. Note This indicator is designed to be a powerful tool in your trading arsenal. However , it is essential to backtest and adjust the settings according to your trading strategy before applying it to live trading . If you have any questions or need further assistance, feel free to reach out.
Pine Script®指标
由WeloTrades提供
4
Extended Engulfing CandleExtended Engulfing Candle Pattern Indicator This indicator advances the standard engulfing candle pattern, capturing more reliable trend reversal signals in the market. Traditional engulfing candle patterns often lead to premature judgments of trend reversals, but the Extended Engulfing Indicator considers consecutive rising or falling candles to pinpoint more conservative trend reversal points. Features: Detection of Consecutive Rising/Falling Candles: This indicator detects the occurrence of consecutive rising or falling candles, considering them when identifying extended engulfing candles. This creates a more potent reversal signal compared to single candle patterns. Visual Display: “U” and “D” labels are displayed at the top and bottom of the chart, clearly showing users the rising and falling engulfing patterns. It only displays a label once, until a pattern in the opposite direction is shown. Enhanced Accuracy: By using the information from consecutive candles, the indicator captures trend reversals more conservatively and accurately. This reduces the number of false signals compared to traditional engulfing candle patterns. How to Use: When a rising engulfing candle pattern is displayed, it signifies the start of a potential upward trend. Conversely, when a falling engulfing candle pattern appears, it implies the beginning of a potential downward trend. Caution: Trading solely with this indicator has its limitations; hence users should cautiously integrate it with their trading strategies. Not all rising and falling engulfing patterns signify trend reversals. Conclusion: The Extended Engulfing Candle Pattern Indicator assists in identifying more reliable trend reversal points compared to the traditional engulfing candle patterns. By identifying the high and low points of consecutive candles, it minimizes false signals and helps traders make more accurate judgments on market movements. 확장 장악형 캔들 패턴 인디케이터 이 인디케이터는 표준 장악형 캔들 패턴을 발전시켜, 마켓에서 더 확실한 트렌드 전환 시그널을 포착합니다. 기존의 장악형 캔들 패턴은 종종 너무 이른 트렌드 전환 판단을 내리지만, 확장 장악형 인디케이터는 연속적인 상승 혹은 하락 캔들을 고려하여 더 보수적인 트렌드 전환점을 포착합니다. 특징: 연속 상승/하락 캔들 감지: 이 인디케이터는 연속적인 상승 또는 하락 캔들의 발생을 감지하여, 확장 장악형 캔들이 나타날 때 이를 고려합니다. 이는 단일 캔들 패턴보다 더 강력한 전환 시그널을 생성합니다. 시각적 표시: 차트의 상단과 하단에 “U”와 “D” 라벨을 표시하여, 사용자에게 상승 장악형 및 하락 장악형 패턴을 명확하게 보여줍니다. 반대 방향의 패턴이 나타날 때까지 라벨은 한 번만 표시됩니다. 개선된 정확도: 연속적인 캔들의 정보를 사용함으로써, 트렌드의 전환을 보다 보수적이고 정확하게 포착합니다. 이로 인해 기존의 장악형 캔들 패턴 대비 거짓 신호의 수가 줄어듭니다. 사용 방법: 상승 장악형 캔들 패턴이 표시되면, 이는 잠재적인 상승 트렌드의 시작을 나타냅니다. 반대로, 하락 장악형 캔들 패턴이 나타나면, 이는 잠재적인 하락 트렌드의 시작을 의미합니다. 주의사항: 이 지표만을 이용한 트레이딩에는 한계가 있을 수 있으므로 사용자는 본인의 트레이딩 전략과 결합하여 조심스럽게 사용해야 합니다. 모든 상승, 하락 장악형 패턴이 트렌드의 전환을 의미하지 않습니다. 결론: 확장 장악형 캔들 패턴 인디케이터는 기존의 장악형 캔들 패턴보다 더욱 신뢰할 수 있는 트렌드 전환 포인트를 식별할 수 있게 도와줍니다. 연속적인 캔들의 고점 및 저점을 식별함으로써 거짓 신호를 최소화하고, 트레이더들이 마켓의 움직임에 대해 보다 정확한 판단을 내릴 수 있게 합니다.
Pine Script®指标
由MentalGap提供
2
HarmonicPatternTrackingLibrary "HarmonicPatternTracking" Library contains few data structures and methods for tracking harmonic pattern trades via pinescript. method draw(this)   Creates and draws HarmonicDrawing object for given HarmonicPattern   Namespace types: HarmonicPattern   Parameters:      this (HarmonicPattern) : HarmonicPattern object   Returns: current HarmonicPattern object method addTrade(this)   calculates HarmonicTrade and sets trade object for HarmonicPattern   Namespace types: HarmonicPattern   Parameters:      this (HarmonicPattern) : HarmonicPattern object   Returns: bool true if pattern trades are valid, false otherwise method delete(this)   Deletes drawing objects of HarmonicDrawing   Namespace types: HarmonicDrawing   Parameters:      this (HarmonicDrawing) : HarmonicDrawing object   Returns: current HarmonicDrawing object method delete(this)   Deletes drawings of harmonic pattern   Namespace types: HarmonicPattern   Parameters:      this (HarmonicPattern) : HarmonicPattern object   Returns: current HarmonicPattern object HarmonicDrawing   Drawing objects of Harmonic Pattern   Fields:      xa (series line) : xa line      ab (series line) : ab line      bc (series line) : bc line      cd (series line) : cd line      xb (series line) : xb line      bd (series line) : bd line      ac (series line) : ac line      xd (series line) : xd line      x (series label) : label for pivot x      a (series label) : label for pivot a      b (series label) : label for pivot b      c (series label) : label for pivot c      d (series label) : label for pivot d      xabRatio (series label) : label for XAB Ratio      abcRatio (series label) : label for ABC Ratio      bcdRatio (series label) : label for BCD Ratio      xadRatio (series label) : label for XAD Ratio HarmonicTrade   Trade tracking parameters of Harmonic Patterns   Fields:      initialEntry (series float) : initial entry when pattern first formed.      entry (series float) : trailed entry price.      initialStop (series float) : initial stop when trade first entered.      stop (series float) : current stop updated as per trailing rules.      target1 (series float) : First target value      target2 (series float) : Second target value      target3 (series float) : Third target value      target4 (series float) : Fourth target value      status (series int) : Trade status referenced as integer      retouch (series bool) : Flag to show if the price retouched after entry HarmonicProperties   Display and trade calculation properties for Harmonic Patterns   Fields:      fillMajorTriangles (series bool) : Display property used for using linefill for harmonic major triangles      fillMinorTriangles (series bool) : Display property used for using linefill for harmonic minor triangles      majorFillTransparency (series int) : transparency setting for major triangles      minorFillTransparency (series int) : transparency setting for minor triangles      showXABCD (series bool) : Display XABCD pivot labels      lblSizePivots (series string) : Pivot label size      showRatios (series bool) : Display Ratio labels      useLogScaleForScan (series bool) : Use log scale to determine fib ratios for pattern scanning      useLogScaleForTargets (series bool) : Use log scale to determine fib ratios for target calculation      base (series string) : base on which calculation of stop/targets are made.      entryRatio (series float) : fib ratio to calculate entry      stopRatio (series float) : fib ratio to calculate initial stop      target1Ratio (series float) : fib ratio to calculate first target      target2Ratio (series float) : fib ratio to calculate second target      target3Ratio (series float) : fib ratio to calculate third target      target4Ratio (series float) : fib ratio to calculate fourth target HarmonicPattern   Harmonic pattern object to track entire pattern trade life cycle   Fields:      id (series int) : Pattern Id      dir (series int) : pattern direction      x (series float) : X Pivot      a (series float) : A Pivot      b (series float) : B Pivot      c (series float) : C Pivot      d (series float) : D Pivot      xBar (series int) : Bar index of X Pivot      aBar (series int) : Bar index of A Pivot      bBar (series int) : Bar index of B Pivot      cBar (series int) : Bar index of C Pivot      dBar (series int) : Bar index of D Pivot      przStart (series float) : Start of PRZ range      przEnd (series float) : End of PRZ range      patterns (bool ) : array representing the patterns      patternLabel (series string) : string representation of list of patterns      patternColor (series color) : color assigned to pattern      properties (HarmonicProperties) : HarmonicProperties object containing display and calculation properties      trade (HarmonicTrade) : HarmonicTrade object to track trades      drawing (HarmonicDrawing) : HarmonicDrawing object to manage drawings
Pine Script®库
由Trendoscope提供
3
Initial Balance Statistical MappingInitial Balance Statistical Mapping Overview The Initial Balance (Enhanced) indicator is a sophisticated trading tool designed specifically for NQ (Nasdaq-100 E-mini Futures) during New York trading hours. It provides data-driven insights based on comprehensive analysis of 12 years of 1-minute price data (2013-2025), offering traders probabilistic forecasts for intraday price movement based on the market's behavior during the critical first hour of trading. What is Initial Balance? Initial Balance (IB) refers to the price range established during the first hour of the New York cash session (9:30-10:30 AM ET). This concept, pioneered by legendary trader Peter Steidlmayer as part of Market Profile theory, represents a critical period where the market establishes its initial value area for the day. The IB high and low create key reference points that professional traders use throughout the session to: Identify potential support and resistance levels Gauge market directional bias Set realistic profit targets Assess market volatility and range expectations Statistical Foundation This indicator is built on rigorous statistical analysis of 12+ years of NQ futures data (over 3,000 trading sessions), examining: Opening Range Patterns: 5-minute and 15-minute opening ranges Initial Balance Characteristics: Directional bias, extreme formation sequence, and closing position Breakout Behavior: Which IB boundary breaks first and subsequent price action Midpoint Dynamics: Probability and timing of midpoint retests Session Outcomes: Correlation between IB patterns and daily close direction Extension Targets: Historical percentile-based price projections beyond IB boundaries The statistical combinations tracked include: IB direction (bullish vs bearish) × Extreme formed first (high vs low) × Close position (above vs below midpoint) Post-break behavior (confirmation, reversal, or range-bound) Conditional probabilities for over 16 unique market scenarios Visual Components 1. IB Box A shaded rectangular area highlighting the first hour's price range: Top boundary: IB High Bottom boundary: IB Low Midpoint line: The 50% level of the IB range Customizable colors for the fill, border, and midpoint 2. Extension Levels Percentile-based price targets above and below the IB boundaries, calculated from historical extension data: Above IB High: 25th percentile: +0.14% extension Median (50th): +0.31% extension (default display) 75th percentile: +0.60% extension 90th percentile: +1.00% extension Below IB Low: 25th percentile: -0.16% extension Median (50th): -0.38% extension (default display) 75th percentile: -0.79% extension 90th percentile: -1.37% extension These levels represent targets that historically occur at the specified frequency. For example, the median extension suggests that 50% of the time, the market extends at least this amount beyond the IB boundary when it breaks out. 3. Statistics Table A dynamic information panel displaying real-time probabilities and historical context (detailed in "Interpreting the Statistics Table" section below). Input Parameters Calculation Period IB Period: Default 0930-1030 (9:30-10:30 AM ET) Defines the time window for Initial Balance calculation Should match the first hour of NY cash session Regular Trading Hours: Default 0930-1600 (9:30 AM - 4:00 PM ET) Extension lines only display during these hours Statistics table appears during RTH only Prevents visual clutter during overnight sessions Display Options Show IB Box: Toggle the shaded IB range rectangle Only Show Current IB: When enabled, previous days' IB boxes are removed (keeps chart clean) Show Extension Labels: Display percentile labels on extension lines Show Extensions: Individual toggles for each extension level Colors IB Box Color: Customize the shaded range fill (default: semi-transparent blue) Box Border Color: Border line color (default: gray) Midpoint Color: Midpoint line color (default: gray) Extension Color: All extension lines and labels (default: blue) Styling Line Style: Choose Solid, Dashed, or Dotted for IB box borders and midpoint Extension Line Style: Separate style control for extension levels Extension Line Width: 1-4 pixels thickness Extension Label Size: Tiny/Small/Normal/Large/Huge Statistics Table Table Position: 9 placement options (corners, edges, center) Table Size: Auto/Tiny/Small/Normal/Large/Huge Sessions for IB Stats: Number of previous sessions (5-250) to calculate rolling IB range statistics Higher values = more stable averages Lower values = more responsive to recent market conditions Default: 50 sessions Interpreting the Statistics Table The statistics table is the analytical core of this indicator, providing probabilities derived from 12 years of historical NQ data. It updates in real-time as the trading day progresses. Section 1: IB Characteristics IB Direction Bullish (green): IB close > IB open Bearish (red): IB close < IB open This reflects whether the first hour closed higher or lower than it opened Extreme First High First: The IB high was established before the IB low during the first hour Low First: The IB low was established before the IB high This sequence often indicates early momentum direction Close Position Above Midpoint: IB close is above the midpoint of the IB range Below Midpoint: IB close is below the midpoint This shows where buying/selling pressure finished within the range Section 2: Historical Pattern & Probabilities Historical Pattern Shows the number of sessions (out of 3,000+) that match the current IB combination Example: "151 sessions" means this exact pattern (e.g., Bullish + High First + Close Above Mid) occurred 151 times Larger sample sizes (>100) provide more reliable probabilities Smaller samples (<50) should be interpreted with appropriate caution Next Break Predicts which IB boundary will break first: HIGH: Price likely to exceed IB high before IB low LOW: Price likely to breach IB low before IB high Neither: Higher probability that both boundaries remain intact for the session Shows the highest probability outcome with its percentage Based on what actually happened in similar historical sessions Midpoint Retest Probability that price will return to the IB midpoint at some point during the session Initially shows "PENDING" status (orange) Updates to "✓ CONFIRMED" (green) when the midpoint is touched after IB formation Calculated based on sessions where price left the midpoint (>0.1% threshold) and returned Average/median time to retest is tracked in the underlying data Session Close Highlighted row (green background): The key predictive metric Predicts whether the NY cash session (9:30 AM - 4:00 PM ET) will close: Bullish: Close > IB open (green) Bearish: Close < IB open (red) Shows the probability of the more likely outcome This is arguably the most actionable statistic for directional bias Section 3: IB Range Statistics Current Range The actual point value of today's IB range (IB High - IB Low) Useful for comparing to historical norms Mean (X/Yd) Average IB range over the lookback period "X/Y" indicates X sessions were captured out of Y lookback days May be less than lookback if some days had incomplete data or early closures Percentile Rank (color-coded cell) Shows where today's IB range ranks relative to recent sessions: Blue tint (<20th percentile): Unusually narrow range - expect potential expansion Light gray (20-60th): Normal range Dark gray (60-80th): Above average range Red tint (>80th percentile): Unusually wide range - may indicate high volatility or potential consolidation Format: "92nd" means today's range is larger than 92% of the last n sessions (n is defined by the lookback period) Section 4: Post-Break Analysis (Dynamic Section) This section appears only after the IB high or IB low is broken, replacing the standard table with expanded statistics. ━ IB HIGH BROKEN ━ or ━ IB LOW BROKEN ━ Orange header indicates which boundary was exceeded Triggers when price definitively breaks through IB high or low Historical Breaks Number of times this specific pattern (IB direction + close position + break direction) occurred historically Example: "1134 times" means this combination has broken the IB high 1,134 times in the dataset Mid Retest Prob Probability that price will return to test the IB midpoint after breaking out Critical for entry/re-entry decisions and stop placement Percentages typically range from 40-65% depending on the pattern If Retest Occurs: Shows three potential outcomes if the midpoint is retested after the break: Bounce Back UP/DOWN (Confirmation - green text) After breaking IB high and retesting midpoint → bounces back up (confirms bullish breakout) After breaking IB low and retesting midpoint → bounces back down (confirms bearish breakdown) This is the "successful retest" scenario traders often look for Reverse to LOW/HIGH (Reversal - red text) After breaking IB high and retesting → reverses and breaks IB low (failed breakout) After breaking IB low and retesting → reverses and breaks IB high (failed breakdown) The "trap" scenario that catches breakout traders Stays in Range (neutral text) Price retests midpoint but then remains between the midpoint and the opposite IB extreme No additional breakout in either direction Consolidation/balance scenario Example Interpretation: ━ IB HIGH BROKEN ━ Historical Breaks: 1134 times Mid Retest Prob: 44.9% If Retest Occurs: Bounce Back UP : 41.3% (confirms the high break) Reverse to LOW : 39.1% (breaks IB low instead) Stays in Range : 19.6% (consolidates) This tells you: This pattern has broken the IB high 1,134 times historically There's a 44.9% chance price will retest the midpoint after breaking IF it retests, there's roughly an equal chance it bounces back up (41.3%) or reverses to break the low (39.1%) Only 19.6% of retests result in consolidation This would be a high-risk breakout due to the near-equal probability of confirmation vs. reversal How the Statistics Are Calculated Data Collection Methodology The Python analysis script processes: 12+ years of 1-minute NQ futures data (2013-2025) 3,000+ trading sessions Only NY cash session data (9:30 AM - 4:00 PM ET) Adjusted for early closures (holidays, half days) Conditional Probability Framework The indicator uses a nested conditional probability structure: Level 1: IB Direction Bullish (close > open) vs Bearish (close < open) Level 2: IB Extreme Sequence High First vs Low First Determined by which extreme was reached first during IB formation Level 3: IB Close Position Close Above Midpoint vs Close Below Midpoint Where within the range did the IB close? Level 4: Break Direction Which boundary broke first after IB? High Breaks / Low Breaks / Neither Level 5: Midpoint Retest Behavior (post-break) Did midpoint get retested after break? If yes: Confirmed / Reversed / Stayed in Range This creates specific combinations like: "Bullish IB + Low First + Close Above Mid" → 76.7% bullish session close (1,281 historical occurrences) "Bearish IB + High First + Close Below Mid" → 73.9% breaks low first (1,127 occurrences) Extension Percentile Calculations For each session, the maximum extension beyond each IB boundary is measured: High Extension: (Session High - IB High) / IB High × 100 Low Extension: (IB Low - Session Low) / IB Low × 100 These extensions are collected across all sessions, and percentiles are calculated: 25th percentile: 25% of sessions extend at least this far 50th percentile (Median): 50% of sessions extend at least this far 75th percentile: 75% of sessions extend at least this far 90th percentile: 90% of sessions extend at least this far Note: Sessions with no extension (price never exceeded the IB boundary) are included in the dataset as zero-extension values. This is statistically important because it means: The median extension of +0.31% above IB high means 50% of ALL sessions (including those that never broke the high) extended at least this far This is a conservative, realistic measure of actual market behavior IB Range Percentile Rank The rolling percentile rank compares today's IB range to the previous N sessions (default 50): Collect IB ranges for the past 50 sessions Count how many of those ranges were smaller than today's range Divide by total sessions and multiply by 100 Example: If 34 of the past 50 sessions had smaller IB ranges than today: Percentile = (34/50) × 100 = 68th percentile Today's range is larger than 68% of recent sessions Real-Time Validation & Updates The statistics table evolves as the trading day progresses: Pre-IB Formation (9:30-10:30 AM) Table shows "PENDING" for all fields in orange No predictions yet, as IB hasn't formed Useful as a reminder that IB is still forming IB Formation Complete (10:30 AM) All IB characteristics are determined and displayed Historical pattern sample size is shown Probabilities are populated based on the specific IB combination "Midpoint Retest" shows expected probability with "PENDING" status During Trading Session (10:30 AM - 4:00 PM) Midpoint Retest status updates from "PENDING" to "✓ CONFIRMED" if midpoint is touched Table remains stable showing initial probabilities Extension levels continue to be displayed After IB Breakout Entire table is dynamically rebuilt when IB high or low is broken Post-break statistics section is added Shows refined probabilities specific to the break direction Midpoint retest probability is now specific to post-break behavior End of Session (4:00 PM) Table is removed from chart IB box and extensions remain visible for reference Resets for next trading session Practical Trading Applications 1. Directional Bias Use the "Session Close" prediction to establish your directional bias for the day Higher percentages (>70%) suggest stronger historical edge Consider trading with the bias rather than against it 2. Breakout Trading "Next Break" probability helps anticipate which boundary is more likely to break Wait for confirmation, but prepare for the higher-probability direction Use extension levels as initial profit targets 3. Mean Reversion High "Midpoint Retest" probabilities (>80%) suggest mean reversion opportunities After a break, if retest probability is high, consider waiting for the pullback Post-retest statistics help determine whether to fade or trade with the move 4. Risk Management Wide IB ranges (>75th percentile) may suggest: Higher volatility day requiring wider stops Potential for consolidation or smaller extensions More challenging trading conditions Narrow IB ranges (<25th percentile) may suggest: Compressed volatility ready to expand Potential for larger extensions when breakouts occur Clearer directional moves 5. Trade Filtering Use the statistics to avoid low-probability setups If "Session Close" and "Next Break" align (both bullish or both bearish), confidence is higher Conflicting signals suggest a more balanced, range-bound day 6. Exit Strategy Extension percentiles provide logical profit targets: Conservative: 25th percentile (smaller move, higher hit rate) Moderate: 50th percentile (median expectation) Aggressive: 75th-90th percentile (larger move, lower hit rate) After a midpoint retest, use the post-retest probabilities to decide whether to hold or exit Important Notes & Disclaimers Timeframe Specificity This indicator is designed exclusively for NQ futures Statistics are derived from NY cash session hours only (9:30 AM - 4:00 PM ET) Do not use on other instruments or timeframes without independent validation The IB period should always be set to the first hour of the NY session Statistical Interpretation Probabilities are not certainties - a 70% probability means 30% of the time the opposite occurs Sample size matters - combinations with <50 occurrences should be treated with caution Market conditions evolve - the 12-year dataset includes various market regimes, but future behavior may differ Past performance ≠ future results - these statistics are educational and analytical tools, not guarantees Best Practices Use this indicator as one component of a comprehensive trading plan Combine with price action, volume analysis, and market context Paper trade strategies based on these statistics before risking real capital Keep a trading journal to track how probabilities play out in real-time Adjust position sizing based on probability strength and your risk tolerance Data Quality Statistics are based on continuous NQ futures data (rollover-adjusted) Early session closures, half days, and holidays are included in the dataset Gaps and overnight moves are not considered in the analysis (only RTH data) The indicator auto-detects early closures and adjusts the RTH end time accordingly Technical Requirements Platform: TradingView (Pine Script v5) Instrument: NQ (Nasdaq-100 E-mini Futures) recommended; adaptable to ES or YM with separate validation Timeframe: Works on any intraday timeframe (1-min, 5-min, 15-min, etc.) Lower timeframes (1-5 min) recommended for precision Session Settings: Chart timezone should be set to "America/New_York" or equivalent for accurate IB timing Data Requirements: Sufficient historical data to populate IB range statistics (minimum 50 sessions) Version History & Updates Current Version: Enhanced Initial Balance with Conditional Statistics (v1.0) Key Features: 12-year statistical foundation (2013-2025) 16+ conditional pattern combinations Dynamic post-break analysis Real-time midpoint retest validation Percentile-based extension targets Rolling IB range analysis Comprehensive statistics table Conclusion The Initial Balance (Enhanced) indicator transforms 12 years of market data into actionable, probabilistic insights for NQ traders. By understanding the historical behavior of specific IB patterns, traders can: Make more informed directional decisions Set realistic profit targets based on statistical extension frequencies Anticipate mean reversion opportunities with midpoint retest probabilities Manage risk with context-aware range analysis Avoid low-probability setups and focus on higher-edge opportunities This is not a "black box" system or a magic formula. It's a transparent, data-driven framework that provides historical context to inform your trading decisions. The statistics table doesn't tell you what will happen - it tells you what has historically happened when similar patterns emerged, allowing you to trade with probabilistic edges rather than guesses.
Pine Script®指标
由lucymatos提供
2
Dynamic Trend-Based Fibonacci Extension💡 This indicator is a sophisticated, automated technical analysis tool designed to identify high-probability trend continuation setups using the principles of market structure and Fibonacci geometry. By algorithmically detecting "A-B-C" price structures (Pivot -> Impulse -> Retracement), it projects dynamic Fibonacci Extension levels to forecast potential price targets for the next impulsive move (Wave C to D). Unlike static drawing tools, this script adapts to market volatility and features an advanced invalidation engine to keep your charts clean and your risk managed. ✨ Originality and Utility Traders often struggle with the subjectivity of drawing Fibonacci extensions manually. This script solves that by standardizing the identification of market structure using a proprietary ZigZag algorithm enhanced with Average True Range (ATR) for volatility-adjusted sensitivity. Key unique features include: Automated Structure Detection: Instantly spots Bullish (Higher High, Higher Low) and Bearish (Lower Low, Lower High) sequences without manual input. Dynamic Invalidation: The script monitors price action in real-time. If price breaks the invalidation point (Point A), the structure is immediately "grayed out" or deleted, preventing you from trading based on broken setups. Golden Zone Targeting: Highlights the high-probability reversal zone between the 1.5 and 1.618 extensions, often associated with the completion of a measured move. JSON Alerting: Built-in support for algorithmic trading with structured JSON payloads (Entry, TP, SL) ready for webhook integration. 🔬 Methodology and Concepts The core logic operates on a three-step algorithmic sequence: 1. Pivot Identification: The script uses a "ZigZag" approach to find significant swing highs and lows. It employs an ATR-based threshold (or fixed deviation) to filter out market noise, ensuring only significant structural points are considered. 2. Geometric Validation: It evaluates the last three pivot points (A, B, C) to confirm a valid trend structure. Bullish Setup: Point C must be higher than Point A but lower than Point B (a valid retracement). Bearish Setup: Point C must be lower than Point A but higher than Point B. 3. Projection Mathematics: Once a valid ABC structure is locked, the script calculates extension targets using the standard formula: Target = Price C + ((Price B - Price A) * Ratio) . It also supports Logarithmic Scale calculations for assets with exponential growth, such as cryptocurrencies, ensuring proportional accuracy over large price ranges. 🎨 Visual Guide The indicator paints a clear, detailed roadmap on your chart. Here is how to interpret the visual elements: ● Structure Lines Solid Line (A to B): Represents the initial "Impulse" leg of the move. Dashed Line (B to C): Represents the "Retracement" or corrective leg. Green Structures: Indicate Bullish setups (looking for long entries). Red Structures: Indicate Bearish setups (looking for short entries). Gray/Dimmed Structures: These are invalidated setups where the price has breached the Stop Loss level (Point A). ● Extension Levels (Targets) The script projects the following key Fibonacci ratios extending from Point C: 0.618 (Wave 5): An early profit-taking level, often corresponding to a truncated 5th wave. 1.0 (Measured Move): Where the extension equals the length of the initial impulse (AB = CD pattern). 1.272 (Harmonic): A common extension level for corrective structures or deep pullbacks. Golden Zone (1.5 - 1.618): A highlighted fill area. The 1.618 level (Solid Line) is the "Golden Ratio" and is statistically one of the most significant targets in trending markets, often labeled as "Wave 3". ● Labels Points A, B, C: Clearly marks the swing points defining the structure. Right-Side Labels: Display the Ratio (e.g., 1.618) and the exact Price Level for easy order placement. 📖 How to Use This tool is best used as a trend-following system. 1. Trend Identification Wait for a new Solid Colored Structure (Green or Red) to appear. This confirms that a valid ABC retracement has occurred. 2. Entry Strategy The "Trigger" is generally the reversal from Point C. Aggressive traders enter near C, while conservative traders may wait for a breakout above B. Stop Loss: Place your SL just beyond Point A . If price breaks A, the script will automatically gray out the structure, signaling invalidation. 3. Profit Taking Use the projected extension lines as dynamic Take Profit (TP) zones: TP1: 1.0 (The Measured Move). TP2: The Golden Zone (1.5 to 1.618). This is often the strongest target for a Wave 3 impulsive move. 4. Automation For automated traders, create an alert using the "Any alert() function call" option. The script outputs a JSON string containing the Action, Ticker, Entry Price, TP (1.618), and SL (Point A). ⚙️ Inputs and Settings You can fully customize the script to fit your asset class and timeframe: ● ZigZag Detection Pivot Lookback Depth: (Default: 5) Determines how many bars to check left/right for a pivot. Higher numbers find larger, more significant structures. Use ATR-Based Threshold: (Default: True) Adapts the sensitivity to market volatility. ATR Multiplier: (Default: 2.0) Adjusts how much price must reverse to form a new leg. ● Structure Invalidation Enable Structure Invalidation: (Default: True) Toggles the logic that checks if Point A is breached. Invalidation Action: Choose "Gray Out" to keep history visible but dimmed, or "Delete" to remove failed setups entirely. ● Fibonacci Settings Use Logarithmic Scale: Essential for crypto or long-term timeframe analysis. Show 0.618 / 1.0 / 1.272 / 1.618: Toggles individual levels on/off to declutter the chart. Extend Lines Right: Extends the target lines into the future for better visibility. ● Display Settings Keep Last N Structures: Controls how many historical structures remain on the chart to prevent visual clutter. Show Elliott Wave Labels: Adds theoretical wave counts (e.g., "Wave 3") to the ratio labels. 🔍 Deconstruction of the Underlying Scientific and Academic Framework This indicator is grounded in Fractal Market Geometry and Elliott Wave Theory . 1. The Golden Ratio (Phi - 1.618): Mathematically derived from the Fibonacci sequence, the 1.618 ratio is omnipresent in natural growth patterns. In financial markets, it represents the psychological "tipping point" of crowd behavior during an impulsive trend. This script emphasizes the 1.618 extension as the primary target for a "Wave 3," which is academically cited as typically the longest and strongest wave in a 5-wave motive sequence. 2. Harmonic AB=CD Patterns: The inclusion of the 1.0 extension validates the "Measured Move" concept. Statistically, markets often move in symmetrical legs where the secondary impulse (CD) equals the magnitude of the primary impulse (AB). 3. Volatility Normalization (ATR): By utilizing the Average True Range (ATR) for pivot detection, the script adheres to statistical volatility normalization. This ensures that the structures identified are statistically significant relative to the asset's current volatility regime, rather than relying on arbitrary percentage moves which fail across different asset classes. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Pine Script®指标
由MarkitTick提供
5
AI Academy: Volume k-NN [PhenLabs]📊 AI Academy: Volume k-NN Version: PineScript™ v6 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📌 Description AI Academy: Volume k-NN (Theory Edition) is an educational indicator designed to demystify how artificial intelligence pattern recognition works directly on your TradingView charts. Rather than being a black-box signal generator, this tool visualizes the entire k-Nearest Neighbors algorithm process in real-time, showing you exactly how AI identifies similar historical patterns and generates predictions. The indicator scans up to 2,000 historical bars to find patterns that match your current price action, then uses an ensemble of the closest matches to project potential future movement. What sets this apart is the integrated “AI Grimoire”—an interactive educational book overlay that teaches core machine learning concepts through four illuminating chapters. Whether you’re a trader curious about AI methodology or a developer learning algorithmic concepts, this indicator transforms abstract machine learning theory into tangible, visual understanding. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🚀 Points of Innovation • First TradingView indicator to visualize k-NN algorithm execution in real-time with full transparency • Interactive “AI Grimoire” educational overlay teaches machine learning concepts while you trade • Dual-mode pattern matching combines price action with optional volume confirmation • Confidence-based opacity system visually communicates prediction reliability • Historical match visualization shows exactly which past patterns informed the prediction • Ghost bar projections display averaged ensemble predictions with adjustable forecast horizons ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔧 Core Components • Pattern Capture Engine: Converts recent price action into logarithmic returns for normalized comparison across different price levels • k-NN Search Algorithm: Calculates Euclidean distance between current pattern and historical patterns to find closest matches • Volume Weighting System: Optional feature that incorporates volume patterns into distance calculations with adjustable influence • Ensemble Predictor: Averages future returns from k-nearest historical matches to generate consensus forecast • Confidence Calculator: Measures average distance of top matches to determine prediction reliability on 0-100% scale • AI Grimoire Display: Table-based educational overlay rendering book-style content with chapter navigation ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔥 Key Features • Adjustable Pattern Length: Define how many bars constitute the current pattern for matching (5-100 bars) • Configurable Search Depth: Control how far back the algorithm searches for historical matches (500-4,900 bars) • Flexible k-Neighbors: Select how many closest matches inform the prediction (1-20 neighbors) • Volume Toggle: Enable or disable volume pattern matching for different market conditions • Volume Influence Slider: Fine-tune the weight given to volume vs. price patterns (0-100%) • Ghost Bar Count: Adjust how many future bars the indicator projects (3-15 bars) • Minimum Confidence Filter: Set threshold to hide low-confidence predictions • Historical Match Display: Toggle visibility of colored boxes marking source patterns ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎨 Visualization • Blue Scanner Box: Highlights current pattern being analyzed labeled “AI INPUT (The Prompt)” • Green Historical Boxes: Mark past patterns where price subsequently moved bullish • Red Historical Boxes: Mark past patterns where price subsequently moved bearish • Ghost Bars: Semi-transparent candles projecting into the future showing predicted price path • Confidence Label: Displays prediction confidence percentage and number of matches used • AI Grimoire Book: Leather-bound book overlay in top-right corner with navigable chapters ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📖 Usage Guidelines Algorithm Settings • Pattern Length — Default: 20 | Range: 5-100 | Controls how many recent bars define the pattern. Shorter values find more matches but less specific. Longer values find fewer but more precise matches. • Search Depth — Default: 2000 | Range: 500-4900 | Determines how many historical bars to scan. Higher values find more potential matches but increase computation time. • k-Neighbors — Default: 5 | Range: 1-20 | Number of closest matches to use for prediction. Higher values smooth predictions but may dilute strong signals. • Ghost Bar Count — Default: 5 | Range: 3-15 | How many future bars to project. Shorter horizons are typically more reliable. • Use Volume Matching — Default: Off | When enabled, patterns must match on both price AND volume characteristics. • Volume Influence — Default: 30% | Range: 0-100% | Weight given to volume pattern when volume matching is enabled. Visualization Settings • Bullish/Bearish Match Colors — Customize colors for historical match boxes based on outcome direction. • Min Confidence % — Default: 60 | Predictions below this threshold will not display. • Show Historical Matches — Default: On | Toggle visibility of source pattern boxes on chart. Education Settings • Select Chapter — Navigate through AI Grimoire chapters or keep book closed for clean chart view. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✅ Best Use Cases • Learning how k-Nearest Neighbors algorithm functions in a trading context • Understanding the relationship between historical patterns and forward predictions • Identifying when current market conditions resemble past scenarios • Supplementing discretionary analysis with pattern-based confluence • Teaching others machine learning concepts through visual demonstration • Validating whether volume confirms price pattern formations • Building intuition for what AI “sees” when analyzing charts ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ Limitations • Past pattern similarity does not guarantee future outcome similarity • Requires sufficient historical data (minimum 500+ bars) to function properly • Computation-intensive on lower timeframes with maximum search depth • Cannot predict truly novel “black swan” events not represented in historical data • Volume matching less effective on assets with inconsistent volume reporting • Predictions become less reliable as forecast horizon extends further out • Educational overlay may obstruct chart view on smaller screens ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💡 What Makes This Unique • Full Transparency: Unlike black-box AI tools, every step of the algorithm is visualized on your chart • Integrated Education: The AI Grimoire teaches machine learning concepts without leaving TradingView • Theory Meets Practice: See exactly which historical patterns inform each prediction • Honest Uncertainty: Confidence scoring and opacity fading acknowledge when the AI “doesn’t know” • Dual-Mode Analysis: Optional volume weighting adds institutional-quality analysis dimension ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔬 How It Works 1. Pattern Capture: On each bar, the indicator captures the most recent price changes as logarithmic returns, creating a normalized “fingerprint” of current market behavior. If volume matching is enabled, volume changes are captured similarly. 2. Historical Search: The algorithm iterates through up to 2,000 historical bars, calculating the Euclidean distance between the current pattern fingerprint and each historical pattern. Distance combines price similarity and optional volume similarity based on weight settings. 3. Neighbor Selection: All historical patterns are ranked by similarity (lowest distance = most similar). The k-closest matches are selected as the “ensemble council” that will inform the prediction. 4. Confidence Calculation: Average distance of top-k matches determines confidence. Tighter clustering of similar patterns yields higher confidence scores, while scattered or distant matches produce lower confidence. 5. Prediction Generation: Future returns from each historical match (what happened AFTER those patterns) are averaged together. This ensemble average is applied to current price to generate ghost bar projections. 6. Visualization: Historical match locations are marked with colored boxes (green for bullish outcomes, red for bearish). Ghost bars render with opacity tied to confidence level—higher confidence means more solid bars. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💡 Note: This indicator is designed primarily for educational purposes —to help traders understand how AI pattern recognition algorithms function. While the predictions can supplement your analysis, they should never be used as the sole basis for trading decisions. The AI Grimoire chapters explain key concepts including why AI “hallucinates” during unprecedented market events. Always combine with proper risk management and additional confirmation. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Pine Script®指标
由PhenLabs提供
Triple MA Alignment [odnac] Overview The Triple MA Alignment indicator is a powerful tool designed to visualize and analyze the alignment of three moving averages (MAs) with customizable types and lengths. It helps traders identify trends and potential reversal points by displaying the relative positions of three MAs and marking specific alignment patterns on the chart. This indicator is ideal for traders looking to understand market momentum and trend direction through moving average crossovers and alignments. Features Customizable Moving Average Types: Choose from Simple Moving Average (SMA), Exponential Moving Average (EMA), Smoothed Moving Average (SMMA/RMA), Weighted Moving Average (WMA), or Volume-Weighted Moving Average (VWMA). Flexible MA Lengths: Adjust the lengths of three moving averages to suit your trading strategy (default lengths: 7, 25, 99). Alignment Detection: Identifies six unique MA alignment patterns (A1 to A6) based on the relative positions of the three MAs. Visual Cues: Plots MAs on the chart with distinct colors and marks alignment patterns with shapes and labels for easy interpretation. Special Signals: Highlights specific transitions (e.g., "P" and "B" for A1, "P" and "S" for A4) to indicate potential trend changes or continuations. How It Works The indicator calculates three moving averages based on user-selected type and lengths. It then analyzes their relative positions to detect six possible alignment patterns: A1 (1-2-3): MA1 > MA2 > MA3 (Strong bullish alignment) A2 (2-1-3): MA2 > MA1 > MA3 A3 (2-3-1): MA2 > MA3 > MA1 A4 (3-2-1): MA3 > MA2 > MA1 (Strong bearish alignment) A5 (3-1-2): MA3 > MA1 > MA2 A6 (1-3-2): MA1 > MA3 > MA2 When an alignment occurs, a shape (square, diamond, or circle) is plotted at the top or bottom of the chart, depending on the pattern. Additionally, when the alignment changes, a text label (e.g., "2", "3", "5", "6") is displayed to highlight the new pattern. Special signals ("P", "B", "S") are plotted for specific transitions to indicate potential trading opportunities. Settings Show Triple MA: Toggle to display or hide the three moving averages on the chart. Show Triple MA Edge: Toggle to display or hide alignment shapes and labels. MA Length 1, 2, 3: Set the periods for the three moving averages (default: 7, 25, 99). MA Type: Select the moving average type (SMA, EMA, SMMA, WMA, VWMA). Usage Add the Indicator: Apply the indicator to your TradingView chart. Adjust Settings: Customize MA lengths and type to match your trading style (e.g., shorter lengths for scalping, longer for swing trading). Interpret Alignments: A1 (Green Square): Indicates a strong bullish trend, often a signal to consider long positions. A4 (Red Square): Indicates a strong bearish trend, often a signal to consider short positions. A2, A3, A5, A6: Represent transitional or consolidation phases, useful for identifying potential reversals or continuations. Special Signals (P, B, S): Watch for "P" (Pullback), "B" (Breakout), or "S" (Sell) labels for additional context. Combine with Other Tools: Use alongside support/resistance levels, volume analysis, or other indicators for confirmation.
Pine Script®指标
由odnac提供
Ultimate RSI [captainua]Ultimate RSI Overview This indicator combines multiple RSI calculations with volume analysis, divergence detection, and trend filtering to provide a comprehensive RSI-based trading system. The script calculates RSI using three different periods (6, 14, 24) and applies various smoothing methods to reduce noise while maintaining responsiveness. The combination of these features creates a multi-layered confirmation system that reduces false signals by requiring alignment across multiple indicators and timeframes. The script includes optimized configuration presets for instant setup: Scalping, Day Trading, Swing Trading, and Position Trading. Simply select a preset to instantly configure all settings for your trading style, or use Custom mode for full manual control. All settings include automatic input validation to prevent configuration errors and ensure optimal performance. Configuration Presets The script includes preset configurations optimized for different trading styles, allowing you to instantly configure the indicator for your preferred trading approach. Simply select a preset from the "Configuration Preset" dropdown menu: - Scalping: Optimized for fast-paced trading with shorter RSI periods (4, 7, 9) and minimal smoothing. Noise reduction is automatically disabled, and momentum confirmation is disabled to allow faster signal generation. Designed for quick entries and exits in volatile markets. - Day Trading: Balanced configuration for intraday trading with moderate RSI periods (6, 9, 14) and light smoothing. Momentum confirmation is enabled for better signal quality. Ideal for day trading strategies requiring timely but accurate signals. - Swing Trading: Configured for medium-term positions with standard RSI periods (14, 14, 21) and moderate smoothing. Provides smoother signals suitable for swing trading timeframes. All noise reduction features remain active. - Position Trading: Optimized for longer-term trades with extended RSI periods (24, 21, 28) and heavier smoothing. Filters are configured for highest-quality signals. Best for position traders holding trades over multiple days or weeks. - Custom: Full manual control over all settings. All input parameters are available for complete customization. This is the default mode and maintains full backward compatibility with previous versions. When a preset is selected, it automatically adjusts RSI periods, smoothing lengths, and filter settings to match the trading style. The preset configurations ensure optimal settings are applied instantly, eliminating the need for manual configuration. All settings can still be manually overridden if needed, providing flexibility while maintaining ease of use. Input Validation and Error Prevention The script includes comprehensive input validation to prevent configuration errors: - Cross-Input Validation: Smoothing lengths are automatically validated to ensure they are always less than their corresponding RSI period length. If you set a smoothing length greater than or equal to the RSI length, the script automatically adjusts it to (RSI Length - 1). This prevents logical errors and ensures valid configurations. - Input Range Validation: All numeric inputs have minimum and maximum value constraints enforced by TradingView's input system, preventing invalid parameter values. - Smart Defaults: Preset configurations use validated default values that are tested and optimized for each trading style. When switching between presets, all related settings are automatically updated to maintain consistency. Core Calculations Multi-Period RSI: The script calculates RSI using the standard Wilder's RSI formula: RSI = 100 - (100 / (1 + RS)), where RS = Average Gain / Average Loss over the specified period. Three separate RSI calculations run simultaneously: - RSI(6): Uses 6-period lookback for high sensitivity to recent price changes, useful for scalping and early signal detection - RSI(14): Standard 14-period RSI for balanced analysis, the most commonly used RSI period - RSI(24): Longer 24-period RSI for trend confirmation, provides smoother signals with less noise Each RSI can be smoothed using EMA, SMA, RMA (Wilder's smoothing), WMA, or Zero-Lag smoothing. Zero-Lag smoothing uses the formula: ZL-RSI = RSI + (RSI - RSI ) to reduce lag while maintaining signal quality. You can apply individual smoothing lengths to each RSI period, or use global smoothing where all three RSIs share the same smoothing length. Dynamic Overbought/Oversold Thresholds: Static thresholds (default 70/30) are adjusted based on market volatility using ATR. The formula: Dynamic OB = Base OB + (ATR × Volatility Multiplier × Base Percentage / 100), Dynamic OS = Base OS - (ATR × Volatility Multiplier × Base Percentage / 100). This adapts to volatile markets where traditional 70/30 levels may be too restrictive. During high volatility, the dynamic thresholds widen, and during low volatility, they narrow. The thresholds are clamped between 0-100 to remain within RSI bounds. The ATR is cached for performance optimization, updating on confirmed bars and real-time bars. Adaptive RSI Calculation: An adaptive RSI adjusts the standard RSI(14) based on current volatility relative to average volatility. The calculation: Adaptive Factor = (Current ATR / SMA of ATR over 20 periods) × Volatility Multiplier. If SMA of ATR is zero (edge case), the adaptive factor defaults to 0. The adaptive RSI = Base RSI × (1 + Adaptive Factor), clamped to 0-100. This makes the indicator more responsive during high volatility periods when traditional RSI may lag. The adaptive RSI is used for signal generation (buy/sell signals) but is not plotted on the chart. Overbought/Oversold Fill Zones: The script provides visual fill zones between the RSI line and the threshold lines when RSI is in overbought or oversold territory. The fill logic uses inclusive conditions: fills are shown when RSI is currently in the zone OR was in the zone on the previous bar. This ensures complete coverage of entry and exit boundaries. A minimum gap of 0.1 RSI points is maintained between the RSI plot and threshold line to ensure reliable polygon rendering in TradingView. The fill uses invisible plots at the threshold levels and the RSI value, with the fill color applied between them. You can select which RSI (6, 14, or 24) to use for the fill zones. Divergence Detection Regular Divergence: Bullish divergence: Price makes a lower low (current low < lowest low from previous lookback period) while RSI makes a higher low (current RSI > lowest RSI from previous lookback period). Bearish divergence: Price makes a higher high (current high > highest high from previous lookback period) while RSI makes a lower high (current RSI < highest RSI from previous lookback period). The script compares current price/RSI values to the lowest/highest values from the previous lookback period using ta.lowest() and ta.highest() functions with index to reference the previous period's extreme. Pivot-Based Divergence: An enhanced divergence detection method that uses actual pivot points instead of simple lowest/highest comparisons. This provides more accurate divergence detection by identifying significant pivot lows/highs in both price and RSI. The pivot-based method uses a tolerance-based approach with configurable constants: 1% tolerance for price comparisons (priceTolerancePercent = 0.01) and 1.0 RSI point absolute tolerance for RSI comparisons (pivotTolerance = 1.0). Minimum divergence threshold is 1.0 RSI point (minDivergenceThreshold = 1.0). It looks for two recent pivot points and compares them: for bullish divergence, price makes a lower low (at least 1% lower) while RSI makes a higher low (at least 1.0 point higher). This method reduces false divergences by requiring actual pivot points rather than just any low/high within a period. When enabled, pivot-based divergence replaces the traditional method for more accurate signal generation. Strong Divergence: Regular divergence is confirmed by an engulfing candle pattern. Bullish engulfing requires: (1) Previous candle is bearish (close < open ), (2) Current candle is bullish (close > open), (3) Current close > previous open, (4) Current open < previous close. Bearish engulfing is the inverse: previous bullish, current bearish, current close < previous open, current open > previous close. Strong divergence signals are marked with visual indicators (🐂 for bullish, 🐻 for bearish) and have separate alert conditions. Hidden Divergence: Continuation patterns that signal trend continuation rather than reversal. Bullish hidden divergence: Price makes a higher low (current low > lowest low from previous period) but RSI makes a lower low (current RSI < lowest RSI from previous period). Bearish hidden divergence: Price makes a lower high (current high < highest high from previous period) but RSI makes a higher high (current RSI > highest RSI from previous period). These patterns indicate the trend is likely to continue in the current direction. Volume Confirmation System Volume threshold filtering requires current volume to exceed the volume SMA multiplied by the threshold factor. The formula: Volume Confirmed = Volume > (Volume SMA × Threshold). If the threshold is set to 0.1 or lower, volume confirmation is effectively disabled (always returns true). This allows you to use the indicator without volume filtering if desired. Volume Climax is detected when volume exceeds: Volume SMA + (Volume StdDev × Multiplier). This indicates potential capitulation moments where extreme volume accompanies price movements. Volume Dry-Up is detected when volume falls below: Volume SMA - (Volume StdDev × Multiplier), indicating low participation periods that may produce unreliable signals. The volume SMA is cached for performance, updating on confirmed and real-time bars. Multi-RSI Synergy The script generates signals when multiple RSI periods align in overbought or oversold zones. This creates a confirmation system that reduces false signals. In "ALL" mode, all three RSIs (6, 14, 24) must be simultaneously above the overbought threshold OR all three must be below the oversold threshold. In "2-of-3" mode, any two of the three RSIs must align in the same direction. The script counts how many RSIs are in each zone: twoOfThreeOB = ((rsi6OB ? 1 : 0) + (rsi14OB ? 1 : 0) + (rsi24OB ? 1 : 0)) >= 2. Synergy signals require: (1) Multi-RSI alignment (ALL or 2-of-3), (2) Volume confirmation, (3) Reset condition satisfied (enough bars since last synergy signal), (4) Additional filters passed (RSI50, Trend, ADX, Volume Dry-Up avoidance). Separate reset conditions track buy and sell signals independently. The reset condition uses ta.barssince() to count bars since the last trigger, returning true if the condition never occurred (allowing first signal) or if enough bars have passed. Regression Forecasting The script uses historical RSI values to forecast future RSI direction using four methods. The forecast horizon is configurable (1-50 bars ahead). Historical data is collected into an array, and regression coefficients are calculated based on the selected method. Linear Regression: Calculates the least-squares fit line (y = mx + b) through the last N RSI values. The calculation: meanX = sumX / horizon, meanY = sumY / horizon, denominator = sumX² - horizon × meanX², m = (sumXY - horizon × meanX × meanY) / denominator, b = meanY - m × meanX. The forecast projects this line forward: forecast = b + m × i for i = 1 to horizon. Polynomial Regression: Fits a quadratic curve (y = ax² + bx + c) to capture non-linear trends. The system of equations is solved using Cramer's rule with a 3×3 determinant. If the determinant is too small (< 0.0001), the system falls back to linear regression. Coefficients are calculated by solving: n×c + sumX×b + sumX²×a = sumY, sumX×c + sumX²×b + sumX³×a = sumXY, sumX²×c + sumX³×b + sumX⁴×a = sumX²Y. Note: Due to the O(n³) computational complexity of polynomial regression, the forecast horizon is automatically limited to a maximum of 20 bars when using polynomial regression to maintain optimal performance. If you set a horizon greater than 20 bars with polynomial regression, it will be automatically capped at 20 bars. Exponential Smoothing: Applies exponential smoothing with adaptive alpha = 2/(horizon+1). The smoothing iterates from oldest to newest value: smoothed = alpha × series + (1 - alpha) × smoothed. Trend is calculated by comparing current smoothed value to an earlier smoothed value (at 60% of horizon): trend = (smoothed - earlierSmoothed) / (horizon - earlierIdx). Forecast: forecast = base + trend × i. Moving Average: Uses the difference between short MA (horizon/2) and long MA (horizon) to estimate trend direction. Trend = (maShort - maLong) / (longLen - shortLen). Forecast: forecast = maShort + trend × i. Confidence bands are calculated using RMSE (Root Mean Squared Error) of historical forecast accuracy. The error calculation compares historical values with forecast values: RMSE = sqrt(sumSquaredError / count). If insufficient data exists, it falls back to calculating standard deviation of recent RSI values. Confidence bands = forecast ± (RMSE × confidenceLevel). All forecast values and confidence bands are clamped to 0-100 to remain within RSI bounds. The regression functions include comprehensive safety checks: horizon validation (must not exceed array size), empty array handling, edge case handling for horizon=1 scenarios, division-by-zero protection, and bounds checking for all array access operations to prevent runtime errors. Strong Top/Bottom Detection Strong buy signals require three conditions: (1) RSI is at its lowest point within the bottom period: rsiVal <= ta.lowest(rsiVal, bottomPeriod), (2) RSI is below the oversold threshold minus a buffer: rsiVal < (oversoldThreshold - rsiTopBottomBuffer), where rsiTopBottomBuffer = 2.0 RSI points, (3) The absolute difference between current RSI and the lowest RSI exceeds the threshold value: abs(rsiVal - ta.lowest(rsiVal, bottomPeriod)) > threshold. This indicates a bounce from extreme levels with sufficient distance from the absolute low. Strong sell signals use the inverse logic: RSI at highest point, above overbought threshold + rsiTopBottomBuffer (2.0 RSI points), and difference from highest exceeds threshold. Both signals also require: volume confirmation, reset condition satisfied (separate reset for buy vs sell), and all additional filters passed (RSI50, Trend, ADX, Volume Dry-Up avoidance). The reset condition uses separate logic for buy and sell: resetCondBuy checks bars since isRSIAtBottom, resetCondSell checks bars since isRSIAtTop. This ensures buy signals reset based on bottom conditions and sell signals reset based on top conditions, preventing incorrect signal blocking. Filtering System RSI(50) Filter: Only allows buy signals when RSI(14) > 50 (bullish momentum) and sell signals when RSI(14) < 50 (bearish momentum). This filter ensures you're buying in uptrends and selling in downtrends from a momentum perspective. The filter is optional and can be disabled. Recommended to enable for noise reduction. Trend Filter: Uses a long-term EMA (default 200) to determine trend direction. Buy signals require price above EMA, sell signals require price below EMA. The EMA slope is calculated as: emaSlope = ema - ema . Optional EMA slope filter additionally requires the EMA to be rising (slope > 0) for buy signals or falling (slope < 0) for sell signals. This provides stronger trend confirmation by requiring both price position and EMA direction. ADX Filter: Uses the Directional Movement Index (calculated via ta.dmi()) to measure trend strength. Signals only fire when ADX exceeds the threshold (default 20), indicating a strong trend rather than choppy markets. The ADX calculation uses separate length and smoothing parameters. This filter helps avoid signals during sideways/consolidation periods. Volume Dry-Up Avoidance: Prevents signals during periods of extremely low volume relative to average. If volume dry-up is detected and the filter is enabled, signals are blocked. This helps avoid unreliable signals that occur during low participation periods. RSI Momentum Confirmation: Requires RSI to be accelerating in the signal direction before confirming signals. For buy signals, RSI must be consistently rising (recovering from oversold) over the lookback period. For sell signals, RSI must be consistently falling (declining from overbought) over the lookback period. The momentum check verifies that all consecutive changes are in the correct direction AND the cumulative change is significant. This filter ensures signals only fire when RSI momentum aligns with the signal direction, reducing false signals from weak momentum. Multi-Timeframe Confirmation: Requires higher timeframe RSI to align with the signal direction. For buy signals, current RSI must be below the higher timeframe RSI by at least the confirmation threshold. For sell signals, current RSI must be above the higher timeframe RSI by at least the confirmation threshold. This ensures signals align with the larger trend context, reducing counter-trend trades. The higher timeframe RSI is fetched using request.security() from the selected timeframe. All filters use the pattern: filterResult = not filterEnabled OR conditionMet. This means if a filter is disabled, it always passes (returns true). Filters can be combined, and all must pass for a signal to fire. RSI Centerline and Period Crossovers RSI(50) Centerline Crossovers: Detects when the selected RSI source crosses above or below the 50 centerline. Bullish crossover: ta.crossover(rsiSource, 50), bearish crossover: ta.crossunder(rsiSource, 50). You can select which RSI (6, 14, or 24) to use for these crossovers. These signals indicate momentum shifts from bearish to bullish (above 50) or bullish to bearish (below 50). RSI Period Crossovers: Detects when different RSI periods cross each other. Available pairs: RSI(6) × RSI(14), RSI(14) × RSI(24), or RSI(6) × RSI(24). Bullish crossover: fast RSI crosses above slow RSI (ta.crossover(rsiFast, rsiSlow)), indicating momentum acceleration. Bearish crossover: fast RSI crosses below slow RSI (ta.crossunder(rsiFast, rsiSlow)), indicating momentum deceleration. These crossovers can signal shifts in momentum before price moves. StochRSI Calculation Stochastic RSI applies the Stochastic oscillator formula to RSI values instead of price. The calculation: %K = ((RSI - Lowest RSI) / (Highest RSI - Lowest RSI)) × 100, where the lookback is the StochRSI length. If the range is zero, %K defaults to 50.0. %K is then smoothed using SMA with the %K smoothing length. %D is calculated as SMA of smoothed %K with the %D smoothing length. All values are clamped to 0-100. You can select which RSI (6, 14, or 24) to use as the source for StochRSI calculation. RSI Bollinger Bands Bollinger Bands are applied to RSI(14) instead of price. The calculation: Basis = SMA(RSI(14), BB Period), StdDev = stdev(RSI(14), BB Period), Upper = Basis + (StdDev × Deviation Multiplier), Lower = Basis - (StdDev × Deviation Multiplier). This creates dynamic zones around RSI that adapt to RSI volatility. When RSI touches or exceeds the bands, it indicates extreme conditions relative to recent RSI behavior. Noise Reduction System The script includes a comprehensive noise reduction system to filter false signals and improve accuracy. When enabled, signals must pass multiple quality checks: Signal Strength Requirement: RSI must be at least X points away from the centerline (50). For buy signals, RSI must be at least X points below 50. For sell signals, RSI must be at least X points above 50. This ensures signals only trigger when RSI is significantly in oversold/overbought territory, not just near neutral. Extreme Zone Requirement: RSI must be deep in the OB/OS zone. For buy signals, RSI must be at least X points below the oversold threshold. For sell signals, RSI must be at least X points above the overbought threshold. This ensures signals only fire in extreme conditions where reversals are more likely. Consecutive Bar Confirmation: The signal condition must persist for N consecutive bars before triggering. This reduces false signals from single-bar spikes or noise. The confirmation checks that the signal condition was true for all bars in the lookback period. Zone Persistence (Optional): Requires RSI to remain in the OB/OS zone for N consecutive bars, not just touch it. This ensures RSI is truly in an extreme state rather than just briefly touching the threshold. When enabled, this provides stricter filtering for higher-quality signals. RSI Slope Confirmation (Optional): Requires RSI to be moving in the expected signal direction. For buy signals, RSI should be rising (recovering from oversold). For sell signals, RSI should be falling (declining from overbought). This ensures momentum is aligned with the signal direction. The slope is calculated by comparing current RSI to RSI N bars ago. All noise reduction filters can be enabled/disabled independently, allowing you to customize the balance between signal frequency and accuracy. The default settings provide a good balance, but you can adjust them based on your trading style and market conditions. Alert System The script includes separate alert conditions for each signal type: buy/sell (adaptive RSI crossovers), divergence (regular, strong, hidden), crossovers (RSI50 centerline, RSI period crossovers), synergy signals, and trend breaks. Each alert type has its own alertcondition() declaration with a unique title and message. An optional cooldown system prevents alert spam by requiring a minimum number of bars between alerts of the same type. The cooldown check: canAlert = na(lastAlertBar) OR (bar_index - lastAlertBar >= cooldownBars). If the last alert bar is na (first alert), it always allows the alert. Each alert type maintains its own lastAlertBar variable, so cooldowns are independent per signal type. The default cooldown is 10 bars, which is recommended for noise reduction. Higher Timeframe RSI The script can display RSI from a higher timeframe using request.security(). This allows you to see the RSI context from a larger timeframe (e.g., daily RSI on an hourly chart). The higher timeframe RSI uses RSI(14) calculation from the selected timeframe. This provides context for the current timeframe's RSI position relative to the larger trend. RSI Pivot Trendlines The script can draw trendlines connecting pivot highs and lows on RSI(6). This feature helps visualize RSI trends and identify potential trend breaks. Pivot Detection: Pivots are detected using a configurable period. The script can require pivots to have minimum strength (RSI points difference from surrounding bars) to filter out weak pivots. Lower minPivotStrength values detect more pivots (more trendlines), while higher values detect only stronger pivots (fewer but more significant trendlines). Pivot confirmation is optional: when enabled, the script waits N bars to confirm the pivot remains the extreme, reducing repainting. Pivot confirmation functions (f_confirmPivotLow and f_confirmPivotHigh) are always called on every bar for consistency, as recommended by TradingView. When pivot bars are not available (na), safe default values are used, and the results are then used conditionally based on confirmation settings. This ensures consistent calculations and prevents calculation inconsistencies. Trendline Drawing: Uptrend lines connect confirmed pivot lows (green), and downtrend lines connect confirmed pivot highs (red). By default, only the most recent trendline is shown (old trendlines are deleted when new pivots are confirmed). This keeps the chart clean and uncluttered. If "Keep Historical Trendlines" is enabled, the script preserves up to N historical trendlines (configurable via "Max Trendlines to Keep", default 5). When historical trendlines are enabled, old trendlines are saved to arrays instead of being deleted, allowing you to see multiple trendlines simultaneously for better trend analysis. The arrays are automatically limited to prevent memory accumulation. Trend Break Detection: Signals are generated when RSI breaks above or below trendlines. Uptrend breaks (RSI crosses below uptrend line) generate buy signals. Downtrend breaks (RSI crosses above downtrend line) generate sell signals. Optional trend break confirmation requires the break to persist for N bars and optionally include volume confirmation. Trendline angle filtering can exclude flat/weak trendlines from generating signals (minTrendlineAngle > 0 filters out weak/flat trendlines). How Components Work Together The combination of multiple RSI periods provides confirmation across different timeframes, reducing false signals. RSI(6) catches early moves, RSI(14) provides balanced signals, and RSI(24) confirms longer-term trends. When all three align (synergy), it indicates strong consensus across timeframes. Volume confirmation ensures signals occur with sufficient market participation, filtering out low-volume false breakouts. Volume climax detection identifies potential reversal points, while volume dry-up avoidance prevents signals during unreliable low-volume periods. Trend filters align signals with the overall market direction. The EMA filter ensures you're trading with the trend, and the EMA slope filter adds an additional layer by requiring the trend to be strengthening (rising EMA for buys, falling EMA for sells). ADX filter ensures signals only fire during strong trends, avoiding choppy/consolidation periods. RSI(50) filter ensures momentum alignment with the trade direction. Momentum confirmation requires RSI to be accelerating in the signal direction, ensuring signals only fire when momentum is aligned. Multi-timeframe confirmation ensures signals align with higher timeframe trends, reducing counter-trend trades. Divergence detection identifies potential reversals before they occur, providing early warning signals. Pivot-based divergence provides more accurate detection by using actual pivot points. Hidden divergence identifies continuation patterns, useful for trend-following strategies. The noise reduction system combines multiple filters (signal strength, extreme zone, consecutive bars, zone persistence, RSI slope) to significantly reduce false signals. These filters work together to ensure only high-quality signals are generated. The synergy system requires alignment across all RSI periods for highest-quality signals, significantly reducing false positives. Regression forecasting provides forward-looking context, helping anticipate potential RSI direction changes. Pivot trendlines provide visual trend analysis and can generate signals when RSI breaks trendlines, indicating potential reversals or continuations. Reset conditions prevent signal spam by requiring a minimum number of bars between signals. Separate reset conditions for buy and sell signals ensure proper signal management. Usage Instructions Configuration Presets (Recommended): The script includes optimized preset configurations for instant setup. Simply select your trading style from the "Configuration Preset" dropdown: - Scalping Preset: RSI(4, 7, 9) with minimal smoothing. Noise reduction disabled, momentum confirmation disabled for fastest signals. - Day Trading Preset: RSI(6, 9, 14) with light smoothing. Momentum confirmation enabled for better signal quality. - Swing Trading Preset: RSI(14, 14, 21) with moderate smoothing. Balanced configuration for medium-term trades. - Position Trading Preset: RSI(24, 21, 28) with heavier smoothing. Optimized for longer-term positions with all filters active. - Custom Mode: Full manual control over all settings. Default behavior matches previous script versions. Presets automatically configure RSI periods, smoothing lengths, and filter settings. You can still manually adjust any setting after selecting a preset if needed. Getting Started: The easiest way to get started is to select a configuration preset matching your trading style (Scalping, Day Trading, Swing Trading, or Position Trading) from the "Configuration Preset" dropdown. This instantly configures all settings for optimal performance. Alternatively, use "Custom" mode for full manual control. The default configuration (Custom mode) shows RSI(6), RSI(14), and RSI(24) with their default smoothing. Overbought/oversold fill zones are enabled by default. Customizing RSI Periods: Adjust the RSI lengths (6, 14, 24) based on your trading timeframe. Shorter periods (6) for scalping, standard (14) for day trading, longer (24) for swing trading. You can disable any RSI period you don't need. Smoothing Selection: Choose smoothing method based on your needs. EMA provides balanced smoothing, RMA (Wilder's) is traditional, Zero-Lag reduces lag but may increase noise. Adjust smoothing lengths individually or use global smoothing for consistency. Note: Smoothing lengths are automatically validated to ensure they are always less than the corresponding RSI period length. If you set smoothing >= RSI length, it will be auto-adjusted to prevent invalid configurations. Dynamic OB/OS: The dynamic thresholds automatically adapt to volatility. Adjust the volatility multiplier and base percentage to fine-tune sensitivity. Higher values create wider thresholds in volatile markets. Volume Confirmation: Set volume threshold to 1.2 (default) for standard confirmation, higher for stricter filtering, or 0.1 to disable volume filtering entirely. Multi-RSI Synergy: Use "ALL" mode for highest-quality signals (all 3 RSIs must align), or "2-of-3" mode for more frequent signals. Adjust the reset period to control signal frequency. Filters: Enable filters gradually to find your preferred balance. Start with volume confirmation, then add trend filter, then ADX for strongest confirmation. RSI(50) filter is useful for momentum-based strategies and is recommended for noise reduction. Momentum confirmation and multi-timeframe confirmation add additional layers of accuracy but may reduce signal frequency. Noise Reduction: The noise reduction system is enabled by default with balanced settings. Adjust minSignalStrength (default 3.0) to control how far RSI must be from centerline. Increase requireConsecutiveBars (default 1) to require signals to persist longer. Enable requireZonePersistence and requireRsiSlope for stricter filtering (higher quality but fewer signals). Start with defaults and adjust based on your needs. Divergence: Enable divergence detection and adjust lookback periods. Strong divergence (with engulfing confirmation) provides higher-quality signals. Hidden divergence is useful for trend-following strategies. Enable pivot-based divergence for more accurate detection using actual pivot points instead of simple lowest/highest comparisons. Pivot-based divergence uses tolerance-based matching (1% for price, 1.0 RSI point for RSI) for better accuracy. Forecasting: Enable regression forecasting to see potential RSI direction. Linear regression is simplest, polynomial captures curves, exponential smoothing adapts to trends. Adjust horizon based on your trading timeframe. Confidence bands show forecast uncertainty - wider bands indicate less reliable forecasts. Pivot Trendlines: Enable pivot trendlines to visualize RSI trends and identify trend breaks. Adjust pivot detection period (default 5) - higher values detect fewer but stronger pivots. Enable pivot confirmation (default ON) to reduce repainting. Set minPivotStrength (default 1.0) to filter weak pivots - lower values detect more pivots (more trendlines), higher values detect only stronger pivots (fewer trendlines). Enable "Keep Historical Trendlines" to preserve multiple trendlines instead of just the most recent one. Set "Max Trendlines to Keep" (default 5) to control how many historical trendlines are preserved. Enable trend break confirmation for more reliable break signals. Adjust minTrendlineAngle (default 0.0) to filter flat trendlines - set to 0.1-0.5 to exclude weak trendlines. Alerts: Set up alerts for your preferred signal types. Enable cooldown to prevent alert spam. Each signal type has its own alert condition, so you can be selective about which signals trigger alerts. Visual Elements and Signal Markers The script uses various visual markers to indicate signals and conditions: - "sBottom" label (green): Strong bottom signal - RSI at extreme low with strong buy conditions - "sTop" label (red): Strong top signal - RSI at extreme high with strong sell conditions - "SyBuy" label (lime): Multi-RSI synergy buy signal - all RSIs aligned oversold - "SySell" label (red): Multi-RSI synergy sell signal - all RSIs aligned overbought - 🐂 emoji (green): Strong bullish divergence detected - 🐻 emoji (red): Strong bearish divergence detected - 🔆 emoji: Weak divergence signals (if enabled) - "H-Bull" label: Hidden bullish divergence - "H-Bear" label: Hidden bearish divergence - ⚡ marker (top of pane): Volume climax detected (extreme volume) - positioned at top for visibility - 💧 marker (top of pane): Volume dry-up detected (very low volume) - positioned at top for visibility - ↑ triangle (lime): Uptrend break signal - RSI breaks below uptrend line - ↓ triangle (red): Downtrend break signal - RSI breaks above downtrend line - Triangle up (lime): RSI(50) bullish crossover - Triangle down (red): RSI(50) bearish crossover - Circle markers: RSI period crossovers All markers are positioned at the RSI value where the signal occurs, using location.absolute for precise placement. Signal Priority and Interpretation Signals are generated independently and can occur simultaneously. Higher-priority signals generally indicate stronger setups: 1. Multi-RSI Synergy signals (SyBuy/SySell) - Highest priority: Requires alignment across all RSI periods plus volume and filter confirmation. These are the most reliable signals. 2. Strong Top/Bottom signals (sTop/sBottom) - High priority: Indicates extreme RSI levels with strong bounce conditions. Requires volume confirmation and all filters. 3. Divergence signals - Medium-High priority: Strong divergence (with engulfing) is more reliable than regular divergence. Hidden divergence indicates continuation rather than reversal. 4. Adaptive RSI crossovers - Medium priority: Buy when adaptive RSI crosses below dynamic oversold, sell when it crosses above dynamic overbought. These use volatility-adjusted RSI for more accurate signals. 5. RSI(50) centerline crossovers - Medium priority: Momentum shift signals. Less reliable alone but useful when combined with other confirmations. 6. RSI period crossovers - Lower priority: Early momentum shift indicators. Can provide early warning but may produce false signals in choppy markets. Best practice: Wait for multiple confirmations. For example, a synergy signal combined with divergence and volume climax provides the strongest setup. Chart Requirements For proper script functionality and compliance with TradingView requirements, ensure your chart displays: - Symbol name: The trading pair or instrument name should be visible - Timeframe: The chart timeframe should be clearly displayed - Script name: "Ultimate RSI " should be visible in the indicator title These elements help traders understand what they're viewing and ensure proper script identification. The script automatically includes this information in the indicator title and chart labels. Performance Considerations The script is optimized for performance: - ATR and Volume SMA are cached using var variables, updating only on confirmed and real-time bars to reduce redundant calculations - Forecast line arrays are dynamically managed: lines are reused when possible, and unused lines are deleted to prevent memory accumulation - Calculations use efficient Pine Script functions (ta.rsi, ta.ema, etc.) which are optimized by TradingView - Array operations are minimized where possible, with direct calculations preferred - Polynomial regression automatically caps the forecast horizon at 20 bars (POLYNOMIAL_MAX_HORIZON constant) to prevent performance degradation, as polynomial regression has O(n³) complexity. This safeguard ensures optimal performance even with large horizon settings - Pivot detection includes edge case handling to ensure reliable calculations even on early bars with limited historical data. Regression forecasting functions include comprehensive safety checks: horizon validation (must not exceed array size), empty array handling, edge case handling for horizon=1 scenarios, and division-by-zero protection in all mathematical operations The script should perform well on all timeframes. On very long historical data, forecast lines may accumulate if the horizon is large; consider reducing the forecast horizon if you experience performance issues. The polynomial regression performance safeguard automatically prevents performance issues for that specific regression type. Known Limitations and Considerations - Forecast lines are forward-looking projections and should not be used as definitive predictions. They provide context but are not guaranteed to be accurate. - Dynamic OB/OS thresholds can exceed 100 or go below 0 in extreme volatility scenarios, but are clamped to 0-100 range. This means in very volatile markets, the dynamic thresholds may not widen as much as the raw calculation suggests. - Volume confirmation requires sufficient historical volume data. On new instruments or very short timeframes, volume calculations may be less reliable. - Higher timeframe RSI uses request.security() which may have slight delays on some data feeds. - Regression forecasting requires at least N bars of history (where N = forecast horizon) before it can generate forecasts. Early bars will not show forecast lines. - StochRSI calculation requires the selected RSI source to have sufficient history. Very short RSI periods on new charts may produce less reliable StochRSI values initially. Practical Use Cases The indicator can be configured for different trading styles and timeframes: Swing Trading: Select the "Swing Trading" preset for instant optimal configuration. This preset uses RSI periods (14, 14, 21) with moderate smoothing. Alternatively, manually configure: Use RSI(24) with Multi-RSI Synergy in "ALL" mode, combined with trend filter (EMA 200) and ADX filter. This configuration provides high-probability setups with strong confirmation across multiple RSI periods. Day Trading: Select the "Day Trading" preset for instant optimal configuration. This preset uses RSI periods (6, 9, 14) with light smoothing and momentum confirmation enabled. Alternatively, manually configure: Use RSI(6) with Zero-Lag smoothing for fast signal detection. Enable volume confirmation with threshold 1.2-1.5 for reliable entries. Combine with RSI(50) filter to ensure momentum alignment. Strong top/bottom signals work well for day trading reversals. Trend Following: Enable trend filter (EMA) and EMA slope filter for strong trend confirmation. Use RSI(14) or RSI(24) with ADX filter to avoid choppy markets. Hidden divergence signals are useful for trend continuation entries. Reversal Trading: Focus on divergence detection (regular and strong) combined with strong top/bottom signals. Enable volume climax detection to identify capitulation moments. Use RSI(6) for early reversal signals, confirmed by RSI(14) and RSI(24). Forecasting and Planning: Enable regression forecasting with polynomial or exponential smoothing methods. Use forecast horizon of 10-20 bars for swing trading, 5-10 bars for day trading. Confidence bands help assess forecast reliability. Multi-Timeframe Analysis: Enable higher timeframe RSI to see context from larger timeframes. For example, use daily RSI on hourly charts to understand the larger trend context. This helps avoid counter-trend trades. Scalping: Select the "Scalping" preset for instant optimal configuration. This preset uses RSI periods (4, 7, 9) with minimal smoothing, disables noise reduction, and disables momentum confirmation for faster signals. Alternatively, manually configure: Use RSI(6) with minimal smoothing (or Zero-Lag) for ultra-fast signals. Disable most filters except volume confirmation. Use RSI period crossovers (RSI(6) × RSI(14)) for early momentum shifts. Set volume threshold to 1.0-1.2 for less restrictive filtering. Position Trading: Select the "Position Trading" preset for instant optimal configuration. This preset uses extended RSI periods (24, 21, 28) with heavier smoothing, optimized for longer-term trades. Alternatively, manually configure: Use RSI(24) with all filters enabled (Trend, ADX, RSI(50), Volume Dry-Up avoidance). Multi-RSI Synergy in "ALL" mode provides highest-quality signals. Practical Tips and Best Practices Getting Started: The fastest way to get started is to select a configuration preset that matches your trading style. Simply choose "Scalping", "Day Trading", "Swing Trading", or "Position Trading" from the "Configuration Preset" dropdown to instantly configure all settings optimally. For advanced users, use "Custom" mode for full manual control. The default configuration (Custom mode) is balanced and works well across different markets. After observing behavior, customize settings to match your trading style. Reducing Repainting: All signals are based on confirmed bars, minimizing repainting. The script uses confirmed bar data for all calculations to ensure backtesting accuracy. Signal Quality: Multi-RSI Synergy signals in "ALL" mode provide the highest-quality signals because they require alignment across all three RSI periods. These signals have lower frequency but higher reliability. For more frequent signals, use "2-of-3" mode. The noise reduction system further improves signal quality by requiring multiple confirmations (signal strength, extreme zone, consecutive bars, optional zone persistence and RSI slope). Adjust noise reduction settings to balance signal frequency vs. accuracy. Filter Combinations: Start with volume confirmation, then add trend filter for trend alignment, then ADX filter for trend strength. Combining all three filters significantly reduces false signals but also reduces signal frequency. Find your balance based on your risk tolerance. Volume Filtering: Set volume threshold to 0.1 or lower to effectively disable volume filtering if you trade instruments with unreliable volume data or want to test without volume confirmation. Standard confirmation uses 1.2-1.5 threshold. RSI Period Selection: RSI(6) is most sensitive and best for scalping or early signal detection. RSI(14) provides balanced signals suitable for day trading. RSI(24) is smoother and better for swing trading and trend confirmation. You can disable any RSI period you don't need to reduce visual clutter. Smoothing Methods: EMA provides balanced smoothing with moderate lag. RMA (Wilder's smoothing) is traditional and works well for RSI. Zero-Lag reduces lag but may increase noise. WMA gives more weight to recent values. Choose based on your preference for responsiveness vs. smoothness. Forecasting: Linear regression is simplest and works well for trending markets. Polynomial regression captures curves and works better in ranging markets. Exponential smoothing adapts to trends. Moving average method is most conservative. Use confidence bands to assess forecast reliability. Divergence: Strong divergence (with engulfing confirmation) is more reliable than regular divergence. Hidden divergence indicates continuation rather than reversal, useful for trend-following strategies. Pivot-based divergence provides more accurate detection by using actual pivot points instead of simple lowest/highest comparisons. Adjust lookback periods based on your timeframe: shorter for day trading, longer for swing trading. Pivot divergence period (default 5) controls the sensitivity of pivot detection. Dynamic Thresholds: Dynamic OB/OS thresholds automatically adapt to volatility. In volatile markets, thresholds widen; in calm markets, they narrow. Adjust the volatility multiplier and base percentage to fine-tune sensitivity. Higher values create wider thresholds in volatile markets. Alert Management: Enable alert cooldown (default 10 bars, recommended) to prevent alert spam. Each alert type has its own cooldown, so you can set different cooldowns for different signal types. For example, use shorter cooldown for synergy signals (high quality) and longer cooldown for crossovers (more frequent). The cooldown system works independently for each signal type, preventing spam while allowing different signal types to fire when appropriate. Technical Specifications - Pine Script Version: v6 - Indicator Type: Non-overlay (displays in separate panel below price chart) - Repainting Behavior: Minimal - all signals are based on confirmed bars, ensuring accurate backtesting results - Performance: Optimized with caching for ATR and volume calculations. Forecast arrays are dynamically managed to prevent memory accumulation. - Compatibility: Works on all timeframes (1 minute to 1 month) and all instruments (stocks, forex, crypto, futures, etc.) - Edge Case Handling: All calculations include safety checks for division by zero, NA values, and boundary conditions. Reset conditions and alert cooldowns handle edge cases where conditions never occurred or values are NA. - Reset Logic: Separate reset conditions for buy signals (based on bottom conditions) and sell signals (based on top conditions) ensure logical correctness. - Input Parameters: 60+ customizable parameters organized into logical groups for easy configuration. Configuration presets available for instant setup (Scalping, Day Trading, Swing Trading, Position Trading, Custom). - Noise Reduction: Comprehensive noise reduction system with multiple filters (signal strength, extreme zone, consecutive bars, zone persistence, RSI slope) to reduce false signals. - Pivot-Based Divergence: Enhanced divergence detection using actual pivot points for improved accuracy. - Momentum Confirmation: RSI momentum filter ensures signals only fire when RSI is accelerating in the signal direction. - Multi-Timeframe Confirmation: Optional higher timeframe RSI alignment for trend confirmation. - Enhanced Pivot Trendlines: Trendline drawing with strength requirements, confirmation, and trend break detection. Technical Notes - All RSI values are clamped to 0-100 range to ensure valid oscillator values - ATR and Volume SMA are cached for performance, updating on confirmed and real-time bars - Reset conditions handle edge cases: if a condition never occurred, reset returns true (allows first signal) - Alert cooldown handles na values: if no previous alert, cooldown allows the alert - Forecast arrays are dynamically sized based on horizon, with unused lines cleaned up - Fill logic uses a minimum gap (0.1) to ensure reliable polygon rendering in TradingView - All calculations include safety checks for division by zero and boundary conditions. Regression functions validate that horizon doesn't exceed array size, and all array access operations include bounds checking to prevent out-of-bounds errors - The script uses separate reset conditions for buy signals (based on bottom conditions) and sell signals (based on top conditions) for logical correctness - Background coloring uses a fallback system: dynamic color takes priority, then RSI(6) heatmap, then monotone if both are disabled - Noise reduction filters are applied after accuracy filters, providing multiple layers of signal quality control - Pivot trendlines use strength requirements to filter weak pivots, reducing noise in trendline drawing. Historical trendlines are stored in arrays and automatically limited to prevent memory accumulation when "Keep Historical Trendlines" is enabled - Volume climax and dry-up markers are positioned at the top of the pane for better visibility - All calculations are optimized with conditional execution - features only calculate when enabled (performance optimization) - Input Validation: Automatic cross-input validation ensures smoothing lengths are always less than RSI period lengths, preventing configuration errors - Configuration Presets: Four optimized preset configurations (Scalping, Day Trading, Swing Trading, Position Trading) for instant setup, plus Custom mode for full manual control - Constants Management: Magic numbers extracted to documented constants for improved maintainability and easier tuning (pivot tolerance, divergence thresholds, fill gap, etc.) - TradingView Function Consistency: All TradingView functions (ta.crossover, ta.crossunder, ta.atr, ta.lowest, ta.highest, ta.lowestbars, ta.highestbars, etc.) and custom functions that depend on historical results (f_consecutiveBarConfirmation, f_rsiSlopeConfirmation, f_rsiZonePersistence, f_applyAllFilters, f_rsiMomentum, f_forecast, f_confirmPivotLow, f_confirmPivotHigh) are called on every bar for consistency, as recommended by TradingView. Results are then used conditionally when needed. This ensures consistent calculations and prevents calculation inconsistencies.
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Luxy Super-Duper SuperTrend Predictor Engine and Buy/Sell signalA professional trend-following grading system that analyzes historical trend patterns to provide statistical duration estimates using advanced similarity matching and k-nearest neighbors analysis. Combines adaptive Supertrend with intelligent duration statistics, multi-timeframe confluence, volume confirmation, and quality scoring to identify high-probability setups with data-driven target ranges across all timeframes. Note: All duration estimates are statistical calculations based on historical data, not guarantees of future performance. WHAT MAKES THIS DIFFERENT Unlike traditional SuperTrend indicators that only tell you trend direction, this system answers the critical question: "What is the typical duration for trends like this?" The Statistical Analysis Engine: • Analyzes your chart's last 15+ completed SuperTrend trends (bullish and bearish separately) • Uses k-nearest neighbors similarity matching to find historically similar setups • Calculates statistical duration estimates based on current market conditions • Learns from estimation errors and adapts over time (Advanced mode) • Displays visual duration analysis box showing median, average, and range estimates • Tracks Statistical accuracy with backtest statistics Complete Trading System: • Statistical trend duration analysis with three intelligence levels • Adaptive Supertrend with dynamic ATR-based bands • Multi-timeframe confluence analysis (6 timeframes: 5M to 1W) • Volume confirmation with spike detection and momentum tracking • Quality scoring system (0-70 points) rating each setup • One-click preset optimization for all trading styles • Anti-repaint guarantee on all signals and duration estimates METHODOLOGY CREDITS This indicator's approach is inspired by proven trading methodologies from respected market educators: • Mark Minervini - Volatility Contraction Pattern (VCP) and pullback entry techniques • William O'Neil - Volume confirmation principles and institutional buying patterns (CANSLIM methodology) • Dan Zanger - Volatility expansion entries and momentum breakout strategies Important: These are educational references only. This indicator does not guarantee any specific trading results. Always conduct your own analysis and risk management. KEY FEATURES 1. TREND DURATION ANALYSIS SYSTEM - The Core Innovation The statistical analysis engine is what sets this indicator apart from standard SuperTrend systems. It doesn't just identify trend changes - it provides statistical analysis of potential duration. How It Works: Step 1: Historical Tracking • Automatically records every completed SuperTrend trend (duration in bars) • Maintains separate databases for bullish trends and bearish trends • Stores up to 15 most recent trends of each type • Captures market conditions at each trend flip: volume ratio, ATR ratio, quality score, price distance from SuperTrend, proximity to support/resistance Step 2: Similarity Matching (k-Nearest Neighbors) • When new trend begins, system compares current conditions to ALL historical flips • Calculates similarity score based on: - Volume similarity (30% weight) - Is volume behaving similarly? - Volatility similarity (30% weight) - Is ATR/volatility similar? - Quality similarity (20% weight) - Is setup strength comparable? - Distance similarity (10% weight) - Is price distance from ST similar? - Support/Resistance proximity (10% weight) - Similar structural context? • Selects the 15 MOST SIMILAR historical trends (not just all trends) • This is like asking: "When conditions looked like this before, how long did trends last?" Step 3: Statistical Analysis • Calculates median duration (most common outcome) • Calculates average duration (mean of similar trends) • Determines realistic range (min to max of similar trends) • Applies exponential weighting (recent trends weighted more heavily) • Outputs confidence-weighted statistical estimate Step 4: Advanced Intelligence (Advanced Mode Only) The Advanced mode applies five sophisticated multipliers to refine estimates: A) Market Structure Multiplier (±30%): • Detects nearby support/resistance levels using pivot detection • If flip occurs NEAR a key level: Estimate adjusted -30% (expect bounce/rejection) • If flip occurs in open space: Estimate adjusted +30% (clear path for continuation) • Uses configurable lookback period and ATR-based proximity threshold B) Asset Type Multiplier (±40%): • Adjusts duration estimates based on asset volatility characteristics • Small Cap / Biotech: +40% (explosive, extended moves) • Tech Growth: +20% (momentum-driven, longer trends) • Blue Chip / Large Cap: 0% (baseline, steady trends) • Dividend / Value: -20% (slower, grinding trends) • Cyclical: Variable based on macro regime • Crypto / High Volatility: +30% (parabolic potential) C) Flip Strength Multiplier (±20%): • Analyzes the QUALITY of the trend flip itself • Strong flip (high volume + expanding ATR + quality score 60+): +20% • Weak flip (low volume + contracting ATR + quality score under 40): -20% • Logic: Historical data shows that powerful flips tend to be followed by longer trends D) Error Learning Multiplier (±15%): • Tracks Statistical accuracy over last 10 completed trends • Calculates error ratio: (estimated duration / Actual Duration) • If system consistently over-estimates: Apply -15% correction • If system consistently under-estimates: Apply +15% correction • Learns and adapts to current market regime E) Regime Detection Multiplier (±20%): • Analyzes last 3 trends of SAME TYPE (bull-to-bull or bear-to-bear) • Compares recent trend durations to historical average • If recent trends 20%+ longer than average: +20% adjustment (trending regime detected) • If recent trends 20%+ shorter than average: -20% adjustment (choppy regime detected) • Detects whether market is in trending or mean-reversion mode Three analysis modes: SIMPLE MODE - Basic Statistics • Uses raw median of similar trends only • No multipliers, no adjustments • Best for: Beginners, clean trending markets • Fastest calculations, minimal complexity STANDARD MODE - Full Statistical Analysis • Similarity matching with k-nearest neighbors • Exponential weighting of recent trends • Median, average, and range calculations • Best for: Most traders, general market conditions • Balance of accuracy and simplicity ADVANCED MODE - Statistics + Intelligence • Everything in Standard mode PLUS • All 5 advanced multipliers (structure, asset type, flip strength, learning, regime) • Highest Statistical accuracy in testing • Best for: Experienced traders, volatile/complex markets • Maximum intelligence, most adaptive Visual Duration Analysis Box: When a new trend begins (SuperTrend flip), a box appears on your chart showing: • Analysis Mode (Simple / Standard / Advanced) • Number of historical trends analyzed • Median expected duration (most likely outcome) • Average expected duration (mean of similar trends) • Range (minimum to maximum from similar trends) • Advanced multipliers breakdown (Advanced mode only) • Backtest accuracy statistics (if available) The box extends from the flip bar to the estimated endpoint based on historical data, giving you a visual target for trend duration. Box updates in real-time as trend progresses. Backtest & Accuracy Tracking: • System backtests its own duration estimates using historical data • Shows accuracy metrics: how well duration estimates matched actual durations • Tracks last 10 completed duration estimates separately • Displays statistics in dashboard and duration analysis boxes • Helps you understand statistical reliability on your specific symbol/timeframe Anti-Repaint Guarantee: • duration analysis boxes only appear AFTER bar close (barstate.isconfirmed) • Historical duration estimates never disappear or change • What you see in history is exactly what you would have seen real-time • No future data leakage, no lookahead bias 2. INTELLIGENT PRESET CONFIGURATIONS - One-Click Optimization Unlike indicators that require tedious parameter tweaking, this system includes professionally optimized presets for every trading style. Select your approach from the dropdown and ALL parameters auto-configure. "AUTO (DETECT FROM TF)" - RECOMMENDED The smartest option: automatically selects optimal settings based on your chart timeframe. • 1m-5m charts → Scalping preset (ATR: 7, Mult: 2.0) • 15m-1h charts → Day Trading preset (ATR: 10, Mult: 2.5) • 2h-4h-D charts → Swing Trading preset (ATR: 14, Mult: 3.0) • W-M charts → Position Trading preset (ATR: 21, Mult: 4.0) Benefits: • Zero configuration - works immediately • Always matched to your timeframe • Switch timeframe = automatic adjustment • Perfect for traders who use multiple timeframes "SCALPING (1-5M)" - Ultra-Fast Signals Optimized for: 1-5 minute charts, high-frequency trading, quick profits Target holding period: Minutes to 1-2 hours maximum Best markets: High-volume stocks, major crypto pairs, active futures Parameter Configuration: • Supertrend: ATR 7, Multiplier 2.0 (very sensitive) • Volume: MA 10, High 1.8x, Spike 3.0x (catches quick surges) • Volume Momentum: AUTO-DISABLED (too restrictive for fast scalping) • Quality minimum: 40 points (accepts more setups) • Duration Analysis: Uses last 15 trends with heavy recent weighting Trading Logic: Speed over precision. Short ATR period and low multiplier create highly responsive SuperTrend. Volume momentum filter disabled to avoid missing fast moves. Quality threshold relaxed to catch more opportunities in rapid market conditions. Signals per session: 5-15 typically Hold time: Minutes to couple hours Best for: Active traders with fast execution "DAY TRADING (15M-1H)" - Balanced Approach Optimized for: 15-minute to 1-hour charts, intraday moves, session-based trading Target holding period: 30 minutes to 8 hours (within trading day) Best markets: Large-cap stocks, major indices, established crypto Parameter Configuration: • Supertrend: ATR 10, Multiplier 2.5 (balanced) • Volume: MA 20, High 1.5x, Spike 2.5x (standard detection) • Volume Momentum: 5/20 periods (confirms intraday strength) • Quality minimum: 50 points (good setups preferred) • Duration Analysis: Balanced weighting of recent vs historical Trading Logic: The most balanced configuration. ATR 10 with multiplier 2.5 provides steady trend following that avoids noise while catching meaningful moves. Volume momentum confirms institutional participation without being overly restrictive. Signals per session: 2-5 typically Hold time: 30 minutes to full day Best for: Part-time and full-time active traders "SWING TRADING (4H-D)" - Trend Stability Optimized for: 4-hour to Daily charts, multi-day holds, trend continuation Target holding period: 2-15 days typically Best markets: Growth stocks, sector ETFs, trending crypto, commodity futures Parameter Configuration: • Supertrend: ATR 14, Multiplier 3.0 (stable) • Volume: MA 30, High 1.3x, Spike 2.2x (accumulation focus) • Volume Momentum: 10/30 periods (trend stability) • Quality minimum: 60 points (high-quality setups only) • Duration Analysis: Favors consistent historical patterns Trading Logic: Designed for substantial trend moves while filtering short-term noise. Higher ATR period and multiplier create stable SuperTrend that won't flip on minor corrections. Stricter quality requirements ensure only strongest setups generate signals. Signals per week: 2-5 typically Hold time: Days to couple weeks Best for: Part-time traders, swing style "POSITION TRADING (D-W)" - Long-Term Trends Optimized for: Daily to Weekly charts, major trend changes, portfolio allocation Target holding period: Weeks to months Best markets: Blue-chip stocks, major indices, established cryptocurrencies Parameter Configuration: • Supertrend: ATR 21, Multiplier 4.0 (very stable) • Volume: MA 50, High 1.2x, Spike 2.0x (long-term accumulation) • Volume Momentum: 20/50 periods (major trend confirmation) • Quality minimum: 70 points (excellent setups only) • Duration Analysis: Heavy emphasis on multi-year historical data Trading Logic: Conservative approach focusing on major trend changes. Extended ATR period and high multiplier create SuperTrend that only flips on significant reversals. Very strict quality filters ensure signals represent genuine long-term opportunities. Signals per month: 1-2 typically Hold time: Weeks to months Best for: Long-term investors, set-and-forget approach "CUSTOM" - Advanced Configuration Purpose: Complete manual control for experienced traders Use when: You understand the parameters and want specific optimization Best for: Testing new approaches, unusual market conditions, specific instruments Full control over: • All SuperTrend parameters • Volume thresholds and momentum periods • Quality scoring weights • analysis mode and multipliers • Advanced features tuning Preset Comparison Quick Reference: Chart Timeframe: Scalping (1M-5M) | Day Trading (15M-1H) | Swing (4H-D) | Position (D-W) Signals Frequency: Very High | High | Medium | Low Hold Duration: Minutes | Hours | Days | Weeks-Months Quality Threshold: 40 pts | 50 pts | 60 pts | 70 pts ATR Sensitivity: Highest | Medium | Lower | Lowest Time Investment: Highest | High | Medium | Lowest Experience Level: Expert | Advanced | Intermediate | Beginner+ 3. QUALITY SCORING SYSTEM (0-70 Points) Every signal is rated in real-time across three dimensions: Volume Confirmation (0-30 points): • Volume Spike (2.5x+ average): 30 points • High Volume (1.5x+ average): 20 points • Above Average (1.0x+ average): 10 points • Below Average: 0 points Volatility Assessment (0-30 points): • Expanding ATR (1.2x+ average): 30 points • Rising ATR (1.0-1.2x average): 15 points • Contracting/Stable ATR: 0 points Volume Momentum (0-10 points): • Strong Momentum (1.2x+ ratio): 10 points • Rising Momentum (1.0-1.2x ratio): 5 points • Weak/Neutral Momentum: 0 points Score Interpretation: 60-70 points - EXCELLENT: • All factors aligned • High conviction setup • Maximum position size (within risk limits) • Primary trading opportunities 45-59 points - STRONG: • Multiple confirmations present • Above-average setup quality • Standard position size • Good trading opportunities 30-44 points - GOOD: • Basic confirmations met • Acceptable setup quality • Reduced position size • Wait for additional confirmation or trade smaller Below 30 points - WEAK: • Minimal confirmations • Low probability setup • Consider passing • Only for aggressive traders in strong trends Only signals meeting your minimum quality threshold (configurable per preset) generate alerts and labels. 4. MULTI-TIMEFRAME CONFLUENCE ANALYSIS The system can simultaneously analyze trend alignment across 6 timeframes (optional feature): Timeframes analyzed: • 5-minute (scalping context) • 15-minute (intraday momentum) • 1-hour (day trading bias) • 4-hour (swing context) • Daily (primary trend) • Weekly (macro trend) Confluence Interpretation: • 5-6/6 aligned - Very strong multi-timeframe agreement (highest confidence) • 3-4/6 aligned - Moderate agreement (standard setup) • 1-2/6 aligned - Weak agreement (caution advised) Dashboard shows real-time alignment count with color-coding. Higher confluence typically correlates with longer, stronger trends. 5. VOLUME MOMENTUM FILTER - Institutional Money Flow Unlike traditional volume indicators that just measure size, Volume Momentum tracks the RATE OF CHANGE in volume: How it works: • Compares short-term volume average (fast period) to long-term average (slow period) • Ratio above 1.0 = Volume accelerating (money flowing IN) • Ratio above 1.2 = Strong acceleration (institutional participation likely) • Ratio below 0.8 = Volume decelerating (money flowing OUT) Why it matters: • Confirms trend with actual money flow, not just price • Leading indicator (volume often leads price) • Catches accumulation/distribution before breakouts • More intuitive than complex mathematical filters Integration with signals: • Optional filter - can be enabled/disabled per preset • When enabled: Only signals with rising volume momentum fire • AUTO-DISABLED in Scalping mode (too restrictive for fast trading) • Configurable fast/slow periods per trading style 6. ADAPTIVE SUPERTREND MULTIPLIER Traditional SuperTrend uses fixed ATR multiplier. This system dynamically adjusts the multiplier (0.8x to 1.2x base) based on: • Trend Strength: Price correlation over lookback period • Volume Weight: Current volume relative to average Benefits: • Tighter bands in calm markets (less premature exits) • Wider bands in volatile conditions (avoids whipsaws) • Better adaptation to biotech, small-cap, and crypto volatility • Optional - can be disabled for classic constant multiplier 7. VISUAL GRADIENT RIBBON 26-layer exponential gradient fill between price and SuperTrend line provides instant visual trend strength assessment: Color System: • Green shades - Bullish trend + volume confirmation (strongest) • Blue shades - Bullish trend, normal volume • Orange shades - Bearish trend + volume confirmation • Red shades - Bearish trend (weakest) Opacity varies based on: • Distance from SuperTrend (farther = more opaque) • Volume intensity (higher volume = stronger color) The ribbon provides at-a-glance trend strength without cluttering your chart. Can be toggled on/off. 8. INTELLIGENT ALERT SYSTEM Two-tier alert architecture for flexibility: Automatic Alerts: • Fire automatically on BUY and SELL signals • Include full context: quality score, volume state, volume momentum • One alert per bar close (alert.freq_once_per_bar_close) • Message format: "BUY: Supertrend bullish + Quality: 65/70 | Volume: HIGH | Vol Momentum: STRONG (1.35x)" Customizable Alert Conditions: • Appear in TradingView's "Create Alert" dialog • Three options: BUY Signal Only, SELL Signal Only, ANY Signal (BUY or SELL) • Use TradingView placeholders: {{ticker}}, {{interval}}, {{close}}, {{time}} • Fully customizable message templates All alerts use barstate.isconfirmed - Zero repaint guarantee. 9. ANTI-REPAINT ARCHITECTURE Every component guaranteed non-repainting: • Entry signals: Only appear after bar close • duration analysis boxes: Created only on confirmed SuperTrend flips • Informative labels: Wait for bar confirmation • Alerts: Fire once per closed bar • Multi-timeframe data: Uses lookahead=barmerge.lookahead_off What you see in history is exactly what you would have seen in real-time. No disappearing signals, no changed duration estimates. HOW TO USE THE INDICATOR QUICK START - 3 Steps to Trading: Step 1: Select Your Trading Style Open indicator settings → "Quick Setup" section → Trading Style Preset dropdown Options: • Auto (Detect from TF) - RECOMMENDED: Automatically configures based on your chart timeframe • Scalping (1-5m) - For 1-5 minute charts, ultra-fast signals • Day Trading (15m-1h) - For 15m-1h charts, balanced approach • Swing Trading (4h-D) - For 4h-Daily charts, trend stability • Position Trading (D-W) - For Daily-Weekly charts, long-term trends • Custom - Manual configuration (advanced users only) Choose "Auto" and you're done - all parameters optimize automatically. Step 2: Understand the Signals BUY Signal (Green Triangle Below Price): • SuperTrend flipped bullish • Quality score meets minimum threshold (varies by preset) • Volume confirmation present (if filter enabled) • Volume momentum rising (if filter enabled) • duration analysis box shows expected trend duration SELL Signal (Red Triangle Above Price): • SuperTrend flipped bearish • Quality score meets minimum threshold • Volume confirmation present (if filter enabled) • Volume momentum rising (if filter enabled) • duration analysis box shows expected trend duration Duration Analysis Box: • Appears at SuperTrend flip (start of new trend) • Shows median, average, and range duration estimates • Extends to estimated endpoint based on historical data visually • Updates mode-specific intelligence (Simple/Standard/Advanced) Step 3: Use the Dashboard for Context Dashboard (top-right corner) shows real-time metrics: • Row 1 - Quality Score: Current setup rating (0-70) • Row 2 - SuperTrend: Direction and current level • Row 3 - Volume: Status (Spike/High/Normal/Low) with color • Row 4 - Volatility: State (Expanding/Rising/Stable/Contracting) • Row 5 - Volume Momentum: Ratio and trend • Row 6 - Duration Statistics: Accuracy metrics and track record Every cell has detailed tooltip - hover for full explanations. SIGNAL INTERPRETATION BY QUALITY SCORE: Excellent Setup (60-70 points): • Quality Score: 60-70 • Volume: Spike or High • Volatility: Expanding • Volume Momentum: Strong (1.2x+) • MTF Confluence (if enabled): 5-6/6 • Action: Primary trade - maximum position size (within risk limits) • Statistical reliability: Highest - duration estimates most accurate Strong Setup (45-59 points): • Quality Score: 45-59 • Volume: High or Above Average • Volatility: Rising • Volume Momentum: Rising (1.0-1.2x) • MTF Confluence (if enabled): 3-4/6 • Action: Standard trade - normal position size • Statistical reliability: Good - duration estimates reliable Good Setup (30-44 points): • Quality Score: 30-44 • Volume: Above Average • Volatility: Stable or Rising • Volume Momentum: Neutral to Rising • MTF Confluence (if enabled): 3-4/6 • Action: Cautious trade - reduced position size, wait for additional confirmation • Statistical reliability: Moderate - duration estimates less certain Weak Setup (Below 30 points): • Quality Score: Below 30 • Volume: Low or Normal • Volatility: Contracting or Stable • Volume Momentum: Weak • MTF Confluence (if enabled): 1-2/6 • Action: Pass or wait for improvement • Statistical reliability: Low - duration estimates unreliable USING duration analysis boxES FOR TRADE MANAGEMENT: Entry Timing: • Enter on SuperTrend flip (signal bar close) • duration analysis box appears simultaneously • Note the median duration - this is your expected hold time Profit Targets: • Conservative: Use MEDIAN duration as profit target (50% probability) • Moderate: Use AVERAGE duration (mean of similar trends) • Aggressive: Aim for MAX duration from range (best historical outcome) Position Management: • Scale out at median duration (take partial profits) • Trail stop as trend extends beyond median • Full exit at average duration or SuperTrend flip (whichever comes first) • Re-evaluate if trend exceeds estimated range analysis mode Selection: • Simple: Clean trending markets, beginners, minimal complexity • Standard: Most markets, most traders (recommended default) • Advanced: Volatile markets, complex instruments, experienced traders seeking highest accuracy Asset Type Configuration (Advanced Mode): If using Advanced analysis mode, configure Asset Type for optimal accuracy: • Small Cap: Stocks under $2B market cap, low liquidity • Biotech / Speculative: Clinical-stage pharma, penny stocks, high-risk • Blue Chip / Large Cap: S&P 500, mega-cap tech, stable large companies • Tech Growth: High-growth tech (TSLA, NVDA, growth SaaS) • Dividend / Value: Dividend aristocrats, value stocks, utilities • Cyclical: Energy, materials, industrials (macro-driven) • Crypto / High Volatility: Bitcoin, altcoins, highly volatile assets Correct asset type selection improves Statistical accuracy by 15-20%. RISK MANAGEMENT GUIDELINES: 1. Stop Loss Placement: Long positions: • Place stop below recent swing low OR • Place stop below SuperTrend level (whichever is tighter) • Use 1-2 ATR distance as guideline • Recommended: SuperTrend level (built-in volatility adjustment) Short positions: • Place stop above recent swing high OR • Place stop above SuperTrend level (whichever is tighter) • Use 1-2 ATR distance as guideline • Recommended: SuperTrend level 2. Position Sizing by Quality Score: • Excellent (60-70): Maximum position size (2% risk per trade) • Strong (45-59): Standard position size (1.5% risk per trade) • Good (30-44): Reduced position size (1% risk per trade) • Weak (Below 30): Pass or micro position (0.5% risk - learning trades only) 3. Exit Strategy Options: Option A - Statistical Duration-Based Exit: • Exit at median estimated duration (conservative) • Exit at average estimated duration (moderate) • Trail stop beyond average duration (aggressive) Option B - Signal-Based Exit: • Exit on opposite signal (SELL after BUY, or vice versa) • Exit on SuperTrend flip (trend reversal) • Exit if quality score drops below 30 mid-trend Option C - Hybrid (Recommended): • Take 50% profit at median estimated duration • Trail stop on remaining 50% using SuperTrend as trailing level • Full exit on SuperTrend flip or quality collapse 4. Trade Filtering: For higher win-rate (fewer trades, better quality): • Increase minimum quality score (try 60 for swing, 50 for day trading) • Enable volume momentum filter (ensure institutional participation) • Require higher MTF confluence (5-6/6 alignment) • Use Advanced analysis mode with appropriate asset type For more opportunities (more trades, lower quality threshold): • Decrease minimum quality score (40 for day trading, 35 for scalping) • Disable volume momentum filter • Lower MTF confluence requirement • Use Simple or Standard analysis mode SETTINGS OVERVIEW Quick Setup Section: • Trading Style Preset: Auto / Scalping / Day Trading / Swing / Position / Custom Dashboard & Display: • Show Dashboard (ON/OFF) • Dashboard Position (9 options: Top/Middle/Bottom + Left/Center/Right) • Text Size (Auto/Tiny/Small/Normal/Large/Huge) • Show Ribbon Fill (ON/OFF) • Show SuperTrend Line (ON/OFF) • Bullish Color (default: Green) • Bearish Color (default: Red) • Show Entry Labels - BUY/SELL signals (ON/OFF) • Show Info Labels - Volume events (ON/OFF) • Label Size (Auto/Tiny/Small/Normal/Large/Huge) Supertrend Configuration: • ATR Length (default varies by preset: 7-21) • ATR Multiplier Base (default varies by preset: 2.0-4.0) • Use Adaptive Multiplier (ON/OFF) - Dynamic 0.8x-1.2x adjustment • Smoothing Factor (0.0-0.5) - EMA smoothing applied to bands • Neutral Bars After Flip (0-10) - Hide ST immediately after flip Volume Momentum: • Enable Volume Momentum Filter (ON/OFF) • Fast Period (default varies by preset: 3-20) • Slow Period (default varies by preset: 10-50) Volume Analysis: • Volume MA Length (default varies by preset: 10-50) • High Volume Threshold (default: 1.5x) • Spike Threshold (default: 2.5x) • Low Volume Threshold (default: 0.7x) Quality Filters: • Minimum Quality Score (0-70, varies by preset) • Require Volume Confirmation (ON/OFF) Trend Duration Analysis: • Show Duration Analysis (ON/OFF) - Display duration analysis boxes • analysis mode - Simple / Standard / Advanced • Asset Type - 7 options (Small Cap, Biotech, Blue Chip, Tech Growth, Dividend, Cyclical, Crypto) • Use Exponential Weighting (ON/OFF) - Recent trends weighted more • Decay Factor (0.5-0.99) - How much more recent trends matter • Structure Lookback (3-30) - Pivot detection period for support/resistance • Proximity Threshold (xATR) - How close to level qualifies as "near" • Enable Error Learning (ON/OFF) - System learns from estimation errors • Memory Depth (3-20) - How many past errors to remember Box Visual Settings: • duration analysis box Border Color • duration analysis box Background Color • duration analysis box Text Color • duration analysis box Border Width • duration analysis box Transparency Multi-Timeframe (Optional Feature): • Enable MTF Confluence (ON/OFF) • Minimum Alignment Required (0-6) • Individual timeframe enable/disable toggles • Custom timeframe selection options All preset configurations override manual inputs except when "Custom" is selected. ADVANCED FEATURES 1. Scalpel Mode (Optional) Advanced pullback entry system that waits for healthy retracements within established trends before signaling entry: • Monitors price distance from SuperTrend levels • Requires pullback to configurable range (default: 30-50%) • Ensures trend remains intact before entry signal • Reduces whipsaw and false breakouts • Inspired by Mark Minervini's VCP pullback entries Best for: Swing traders and day traders seeking precision entries Scalpers: Consider disabling for faster entries 2. Error Learning System (Advanced analysis mode Only) The system learns from its own estimation errors: • Tracks last 10-20 completed duration estimates (configurable memory depth) • Calculates error ratio for each: estimated duration / Actual Duration • If system consistently over-estimates: Applies negative correction (-15%) • If system consistently under-estimates: Applies positive correction (+15%) • Adapts to current market regime automatically This self-correction mechanism improves accuracy over time as the system gathers more data on your specific symbol and timeframe. 3. Regime Detection (Advanced analysis mode Only) Automatically detects whether market is in trending or choppy regime: • Compares last 3 trends to historical average • Recent trends 20%+ longer → Trending regime (+20% to estimates) • Recent trends 20%+ shorter → Choppy regime (-20% to estimates) • Applied separately to bullish and bearish trends Helps duration estimates adapt to changing market conditions without manual intervention. 4. Exponential Weighting Option to weight recent trends more heavily than distant history: • Default decay factor: 0.9 • Recent trends get higher weight in statistical calculations • Older trends gradually decay in importance • Rationale: Recent market behavior more relevant than old data • Can be disabled for equal weighting 5. Backtest Statistics System backtests its own duration estimates using historical data: • Walks through past trends chronologically • Calculates what duration estimate WOULD have been at each flip • Compares to actual duration that occurred • Displays accuracy metrics in duration analysis boxes and dashboard • Helps assess statistical reliability on your specific chart Note: Backtest uses only data available AT THE TIME of each historical flip (no lookahead bias). TECHNICAL SPECIFICATIONS • Pine Script Version: v6 • Indicator Type: Overlay (draws on price chart) • Max Boxes: 500 (for duration analysis box storage) • Max Bars Back: 5000 (for comprehensive historical analysis) • Security Calls: 1 (for MTF if enabled - optimized) • Repainting: NO - All signals and duration estimates confirmed on bar close • Lookahead Bias: NO - All HTF data properly offset, all duration estimates use only historical data • Real-time Updates: YES - Dashboard and quality scores update live • Alert Capable: YES - Both automatic alerts and customizable alert conditions • Multi-Symbol: Works on stocks, crypto, forex, futures, indices Performance Optimization: • Conditional calculations (duration analysis can be disabled to reduce load) • Efficient array management (circular buffers for trend storage) • Streamlined gradient rendering (26 layers, can be toggled off) • Smart label cooldown system (prevents label spam) • Optimized similarity matching (analyzes only relevant trends) Data Requirements: • Minimum 50-100 bars for initial duration analysis (builds historical database) • Optimal: 500+ bars for robust statistical analysis • Longer history = more accurate duration estimates • Works on any timeframe from 1 minute to monthly KNOWN LIMITATIONS • Trending Markets Only: Performs best in clear trends. May generate false signals in choppy/sideways markets (use quality score filtering and regime detection to mitigate) • Lagging Nature: Like all trend-following systems, signals occur AFTER trend establishment, not at exact tops/bottoms. Use duration analysis boxes to set realistic profit targets. • Initial Learning Period: Duration analysis system requires 10-15 completed trends to build reliable historical database. Early duration estimates less accurate (first few weeks on new symbol/timeframe). • Visual Load: 26-layer gradient ribbon may slow performance on older devices. Disable ribbon if experiencing lag. • Statistical accuracy Variables: Duration estimates are statistical estimates, not guarantees. Accuracy varies by: - Market regime (trending vs choppy) - Asset volatility characteristics - Quality of historical pattern matches - Timeframe traded (higher TF = more reliable) • Not Best Suitable For: - Ultra-short-term scalping (sub-1-minute charts) - Mean-reversion strategies (designed for trend-following) - Range-bound trading (requires trending conditions) - News-driven spikes (estimates based on technical patterns, not fundamentals) FREQUENTLY ASKED QUESTIONS Q: Does this indicator repaint? A: Absolutely not. All signals, duration analysis boxes, labels, and alerts use barstate.isconfirmed checks. They only appear after the bar closes. What you see in history is exactly what you would have seen in real-time. Zero repaint guarantee. Q: How accurate are the trend duration estimates? A: Accuracy varies by mode, market conditions, and historical data quality: • Simple mode: 60-70% accuracy (within ±20% of actual duration) • Standard mode: 70-80% accuracy (within ±20% of actual duration) • Advanced mode: 75-85% accuracy (within ±20% of actual duration) Best accuracy achieved on: • Higher timeframes (4H, Daily, Weekly) • Trending markets (not choppy/sideways) • Assets with consistent behavior (Blue Chip, Large Cap) • After 20+ historical trends analyzed (builds robust database) Remember: All duration estimates are statistical calculations based on historical patterns, not guarantees. Q: Which analysis mode should I use? A: • Simple: Beginners, clean trending markets, want minimal complexity • Standard: Most traders, general market conditions (RECOMMENDED DEFAULT) • Advanced: Experienced traders, volatile/complex markets (biotech, small-cap, crypto), seeking maximum accuracy Advanced mode requires correct Asset Type configuration for optimal results. Q: What's the difference between the trading style presets? A: Each preset optimizes ALL parameters for a specific trading approach: • Scalping: Ultra-sensitive (ATR 7, Mult 2.0), more signals, shorter holds • Day Trading: Balanced (ATR 10, Mult 2.5), moderate signals, intraday holds • Swing Trading: Stable (ATR 14, Mult 3.0), fewer signals, multi-day holds • Position Trading: Very stable (ATR 21, Mult 4.0), rare signals, week/month holds Auto mode automatically selects based on your chart timeframe. Q: Should I use Auto mode or manually select a preset? A: Auto mode is recommended for most traders. It automatically matches settings to your timeframe and re-optimizes if you switch charts. Only use manual preset selection if: • You want scalping settings on a 15m chart (overriding auto-detection) • You want swing settings on a 1h chart (more conservative than auto would give) • You're testing different approaches on same timeframe Q: Can I use this for scalping and day trading? A: Absolutely! The preset system is specifically designed for all trading styles: • Select "Scalping (1-5m)" for 1-5 minute charts • Select "Day Trading (15m-1h)" for 15m-1h charts • Or use "Auto" mode and it configures automatically Volume momentum filter is auto-disabled in Scalping mode for faster signals. Q: What is Volume Momentum and why does it matter? A: Volume Momentum compares short-term volume (fast MA) to long-term volume (slow MA). It answers: "Is money flowing into this asset faster now than historically?" Why it matters: • Volume often leads price (early warning system) • Confirms institutional participation (smart money) • No lag like price-based indicators • More intuitive than complex mathematical filters When the ratio is above 1.2, you have strong evidence that institutions are accumulating (bullish) or distributing (bearish). Q: How do I set up alerts? A: Two options: Option 1 - Automatic Alerts: 1. Right-click on chart → Add Alert 2. Condition: Select this indicator 3. Choose "Any alert() function call" 4. Configure notification method (app, email, webhook) 5. You'll receive detailed alerts on every BUY and SELL signal Option 2 - Customizable Alert Conditions: 1. Right-click on chart → Add Alert 2. Condition: Select this indicator 3. You'll see three options in dropdown: - "BUY Signal" (long signals only) - "SELL Signal" (short signals only) - "ANY Signal" (both BUY and SELL) 4. Choose desired option and customize message template 5. Uses TradingView placeholders: {{ticker}}, {{close}}, {{time}}, etc. All alerts fire only on confirmed bar close (no repaint). Q: What is Scalpel Mode and should I use it? A: Scalpel Mode waits for healthy pullbacks within established trends before signaling entry. It reduces whipsaws and improves entry timing. Recommended ON for: • Swing traders (want precision entries on pullbacks) • Day traders (willing to wait for better prices) • Risk-averse traders (prefer fewer but higher-quality entries) Recommended OFF for: • Scalpers (need immediate entries, can't wait for pullbacks) • Momentum traders (want to enter on breakout, not pullback) • Aggressive traders (prefer more opportunities over precision) Q: Why do some duration estimates show wider ranges than others? A: Range width reflects historical trend variability: • Narrow range: Similar historical trends had consistent durations (high confidence) • Wide range: Similar historical trends had varying durations (lower confidence) Wide ranges often occur: • Early in analysis (fewer historical trends to learn from) • In volatile/choppy markets (inconsistent trend behavior) • On lower timeframes (more noise, less consistency) The median and average still provide useful targets even when range is wide. Q: Can I customize the dashboard position and appearance? A: Yes! Dashboard settings include: • Position: 9 options (Top/Middle/Bottom + Left/Center/Right) • Text Size: Auto, Tiny, Small, Normal, Large, Huge • Show/Hide: Toggle entire dashboard on/off Choose position that doesn't overlap important price action on your specific chart. Q: Which timeframe should I trade on? A: Depends on your trading style and time availability: • 1-5 minute: Active scalping, requires constant monitoring • 15m-1h: Day trading, check few times per session • 4h-Daily: Swing trading, check once or twice daily • Daily-Weekly: Position trading, check weekly General principle: Higher timeframes produce: • Fewer signals (less frequent) • Higher quality setups (stronger confirmations) • More reliable duration estimates (better statistical data) • Less noise (clearer trends) Start with Daily chart if new to trading. Move to lower timeframes as you gain experience. Q: Does this work on all markets (stocks, crypto, forex)? A: Yes, it works on all markets with trending characteristics: Excellent for: • Stocks (especially growth and momentum names) • Crypto (BTC, ETH, major altcoins) • Futures (indices, commodities) • Forex majors (EUR/USD, GBP/USD, etc.) Best results on: • Trending markets (not range-bound) • Liquid instruments (tight spreads, good fills) • Volatile assets (clear trend development) Less effective on: • Range-bound/sideways markets • Ultra-low volatility instruments • Illiquid small-caps (use caution) Configure Asset Type (in Advanced analysis mode) to match your instrument for best accuracy. Q: How many signals should I expect per day/week? A: Highly variable based on: By Timeframe: • 1-5 minute: 5-15 signals per session • 15m-1h: 2-5 signals per day • 4h-Daily: 2-5 signals per week • Daily-Weekly: 1-2 signals per month By Market Volatility: • High volatility = more SuperTrend flips = more signals • Low volatility = fewer flips = fewer signals By Quality Filter: • Higher threshold (60-70) = fewer but better signals • Lower threshold (30-40) = more signals, lower quality By Volume Momentum Filter: • Enabled = Fewer signals (only volume-confirmed) • Disabled = More signals (all SuperTrend flips) Adjust quality threshold and filters to match your desired signal frequency. Q: What's the difference between entry labels and info labels? A: Entry Labels (BUY/SELL): • Your primary trading signals • Based on SuperTrend flip + all confirmations (quality, volume, momentum) • Include quality score and confirmation icons • These are actionable entry points Info Labels (Volume Spike): • Additional market context • Show volume events that may support or contradict trend • 8-bar cooldown to prevent spam • NOT necessarily entry points - contextual information only Control separately: Can show entry labels without info labels (recommended for clean charts). Q: Can I combine this with other indicators? A: Absolutely! This works well with: • RSI: For divergences and overbought/oversold conditions • Support/Resistance: Confluence with key levels • Fibonacci Retracements: Pullback targets in Scalpel Mode • Price Action Patterns: Flags, pennants, cup-and-handle • MACD: Additional momentum confirmation • Bollinger Bands: Volatility context This indicator provides trend direction and duration estimates - complement with other tools for entry refinement and additional confluence. Q: Why did I get a low-quality signal? Can I filter them out? A: Yes! Increase the Minimum Quality Score in settings. If you're seeing signals with quality below your preference: • Day Trading: Set minimum to 50 • Swing Trading: Set minimum to 60 • Position Trading: Set minimum to 70 Only signals meeting the threshold will appear. This reduces frequency but improves win-rate. Q: How do I interpret the MTF Confluence count? A: Shows how many of 6 timeframes agree with current trend: • 6/6 aligned: Perfect agreement (extremely rare, highest confidence) • 5/6 aligned: Very strong alignment (high confidence) • 4/6 aligned: Good alignment (standard quality setup) • 3/6 aligned: Moderate alignment (acceptable) • 2/6 aligned: Weak alignment (caution) • 1/6 aligned: Very weak (likely counter-trend) Higher confluence typically correlates with longer, stronger trends. However, MTF analysis is optional - you can disable it and rely solely on quality scoring. Q: Is this suitable for beginners? A: Yes, but requires foundational knowledge: You should understand: • Basic trend-following concepts (higher highs, higher lows) • Risk management principles (position sizing, stop losses) • How to read candlestick charts • What volume and volatility mean Beginner-friendly features: • Auto preset mode (zero configuration) • Quality scoring (tells you signal strength) • Dashboard tooltips (hover for explanations) • duration analysis boxes (visual profit targets) Recommended for beginners: 1. Start with "Auto" or "Swing Trading" preset on Daily chart 2. Use Standard Analysis Mode (not Advanced) 3. Set minimum quality to 60 (fewer but better signals) 4. Paper trade first for 2-4 weeks 5. Study methodology references (Minervini, O'Neil, Zanger) Q: What is the Asset Type setting and why does it matter? A: Asset Type (in Advanced analysis mode) adjusts duration estimates based on volatility characteristics: • Small Cap: Explosive moves, extended trends (+30-40%) • Biotech / Speculative: Parabolic potential, news-driven (+40%) • Blue Chip / Large Cap: Baseline, steady trends (0% adjustment) • Tech Growth: Momentum-driven, longer trends (+20%) • Dividend / Value: Slower, grinding trends (-20%) • Cyclical: Macro-driven, variable (±10%) • Crypto / High Volatility: Parabolic potential (+30%) Correct configuration improves Statistical accuracy by 15-20%. Using Blue Chip settings on a biotech stock may underestimate trend length (you'll exit too early). Q: Can I backtest this indicator? A: Yes! TradingView's Strategy Tester works with this indicator's signals. To backtest: 1. Note the entry conditions (SuperTrend flip + quality threshold + filters) 2. Create a strategy script using same logic 3. Run Strategy Tester on historical data Additionally, the indicator includes BUILT-IN duration estimate validation: • System backtests its own duration estimates • Shows accuracy metrics in dashboard and duration analysis boxes • Helps assess reliability on your specific symbol/timeframe Q: Why does Volume Momentum auto-disable in Scalping mode? A: Scalping requires ultra-fast entries to catch quick moves. Volume Momentum filter adds friction by requiring volume confirmation before signaling, which can cause missed opportunities in rapid scalping. Scalping preset is optimized for speed and frequency - the filter is counterproductive for that style. It remains enabled for Day Trading, Swing Trading, and Position Trading presets where patience improves results. You can manually enable it in Custom mode if desired. Q: How much historical data do I need for accurate duration estimates? A: Minimum: 50-100 bars (indicator will function but duration estimates less reliable) Recommended: 500+ bars (robust statistical database) Optimal: 1000+ bars (maximum Statistical accuracy) More history = more completed trends = better pattern matching = more accurate duration estimates. New symbols or newly-switched timeframes will have lower Statistical accuracy initially. Allow 2-4 weeks for the system to build historical database. IMPORTANT DISCLAIMERS No Guarantee of Profit: This indicator is an educational tool and does not guarantee any specific trading results. All trading involves substantial risk of loss. Duration estimates are statistical calculations based on historical patterns and are not guarantees of future performance. Past Performance: Historical backtest results and Statistical accuracy statistics do not guarantee future performance. Market conditions change constantly. What worked historically may not work in current or future markets. Not Financial Advice: This indicator provides technical analysis signals and statistical duration estimates only. It is not financial, investment, or trading advice. Always consult with a qualified financial advisor before making investment decisions. Risk Warning: Trading stocks, options, futures, forex, and cryptocurrencies involves significant risk. You can lose all of your invested capital. Never trade with money you cannot afford to lose. Only risk capital you can lose without affecting your lifestyle. Testing Required: Always test this indicator on a demo account or with paper trading before risking real capital. Understand how it works in different market conditions. Verify Statistical accuracy on your specific instruments and timeframes before trusting it with real money. User Responsibility: You are solely responsible for your trading decisions. The developer assumes no liability for trading losses, incorrect duration estimates, software errors, or any other damages incurred while using this indicator. Statistical Estimation Limitations: Trend Duration estimates are statistical estimates based on historical pattern matching. They are NOT guarantees. Actual trend durations may differ significantly from duration estimates due to unforeseen news events, market regime changes, or lack of historical precedent for current conditions. CREDITS & ACKNOWLEDGMENTS Methodology Inspiration: • Mark Minervini - Volatility Contraction Pattern (VCP) concepts and pullback entry techniques • William O'Neil - Volume analysis principles and CANSLIM institutional buying patterns • Dan Zanger - Momentum breakout strategies and volatility expansion entries Technical Components: • SuperTrend calculation - Classic ATR-based trend indicator (public domain) • Statistical analysis - Standard median, average, range calculations • k-Nearest Neighbors - Classic machine learning similarity matching concept • Multi-timeframe analysis - Standard request.security implementation in Pine Script For questions, feedback, or support, please comment below or send a private message. Happy Trading!
Pine Script®指标
由orenluxy提供
43
Smart Money Precision Structure [BullByte]Smart Money Precision Structure Advanced Market Structure Analysis Using Institutional Order Flow Concepts --- OVERVIEW Smart Money Precision Structure (SMPS) is a comprehensive market analysis indicator that combines six analytical frameworks to identify high-probability market structure patterns. The indicator uses multi-dimensional scoring algorithms to evaluate market conditions through institutional order flow concepts, providing traders with professional-grade market analysis. --- PURPOSE AND ORIGINALITY Why This Indicator Was Developed • Addresses the gap between retail and institutional analysis methods • Consolidates multiple analysis techniques that professionals use separately • Automates complex market structure evaluation into actionable insights • Eliminates the need for multiple indicators by providing comprehensive analysis What Makes SMPS Original • Six-Layer Confluence System - Unique combination of market regime, structure, volume flow, momentum, price action, and adaptive filtering • Institutional Pattern Recognition - Identifies smart money accumulation and distribution patterns • Adaptive Intelligence - Parameters automatically adjust based on detected market conditions • Real-Time Market Scoring - Proprietary algorithm rates market quality from 0-100% • Structure Break Detection - Advanced pivot analysis identifies trend reversals early --- HOW IT WORKS - TECHNICAL METHODOLOGY 1. Market Regime Analysis Engine The indicator evaluates five core market dimensions: • Volatility Score - Measures current volatility against 50-period historical baseline • Trend Score - Analyzes alignment between 8, 21, and 50-period EMAs • Momentum Score - Combines RSI divergence with MACD signal alignment • Structure Score - Evaluates pivot point formation clarity • Efficiency Score - Calculates directional movement efficiency ratio These scores combine to classify markets into five regimes: • TRENDING - Strong directional movement with aligned indicators • RANGING - Sideways movement with mixed directional signals • VOLATILE - Elevated volatility with unpredictable price swings • QUIET - Low volatility consolidation periods • TRANSITIONAL - Market shifting between different regimes 2. Market Structure Analysis Advanced pivot point analysis identifies: • Higher Highs and Higher Lows for bullish structure • Lower Highs and Lower Lows for bearish structure • Structure breaks when established patterns fail • Dynamic support and resistance from recent pivot points • Key level proximity detection using ATR-based buffers 3. Volume Flow Decoding Institutional activity detection through: • Volume surge identification when volume exceeds 2x average • Buy versus sell pressure analysis using price-volume correlation • Flow strength measurement through directional volume consistency • Divergence detection between volume and price movements • Institutional threshold alerts when unusual volume patterns emerge 4. Multi-Period Momentum Synthesis Weighted momentum calculation across four timeframes: • 1-period momentum weighted at 40% • 3-period momentum weighted at 30% • 5-period momentum weighted at 20% • 8-period momentum weighted at 10% Result smoothed with 6-period EMA for noise reduction. 5. Price Action Quality Assessment Each bar evaluated for: • Range quality relative to 20-period average • Body-to-range ratio for directional conviction • Wick analysis for rejection pattern identification • Pattern recognition including engulfing and hammer formations • Sequential price movement analysis 6. Adaptive Parameter System Parameters automatically adjust based on detected regime: • Trending markets reduce sensitivity and confirmation requirements • Volatile markets increase filtering and require additional confirmations • Ranging markets maintain neutral settings • Transitional markets use moderate adjustments --- COMPLETE SETTINGS GUIDE Section 1: Core Analysis Settings Analysis Sensitivity (0.3-2.0) • Default: 1.0 • Lower values require stronger price movements • Higher values detect more subtle patterns • Scalpers use 0.8-1.2, swing traders use 1.5-2.0 Noise Reduction Level (2-7) • Default: 4 • Controls filtering of false patterns • Higher values reduce pattern frequency • Increase in volatile markets Minimum Move % (0.05-0.50) • Default: 0.15% • Sets minimum price movement threshold • Adjust based on instrument volatility • Forex: 0.05-0.10%, Stocks: 0.15-0.25%, Crypto: 0.20-0.50% High Confirmation Mode • Default: True (Enabled) • Requires all technical conditions to align • Reduces frequency but increases reliability • Disable for more aggressive pattern detection Section 2: Market Regime Detection Enable Regime Analysis • Default: True (Enabled) • Activates market environment evaluation • Essential for adaptive features • Keep enabled for best results Regime Analysis Period (20-100) • Default: 50 bars • Determines regime calculation lookback • Shorter for responsive, longer for stable • Scalping: 20-30, Swing: 75-100 Minimum Market Clarity (0.2-0.8) • Default: 0.4 • Quality threshold for pattern generation • Higher values require clearer conditions • Lower for more patterns, higher for quality Adaptive Parameter Adjustment • Default: True (Enabled) • Enables automatic parameter optimization • Adjusts based on market regime • Highly recommended to keep enabled Section 3: Market Structure Analysis Enable Structure Validation • Default: True (Enabled) • Validates patterns against support/resistance • Confirms trend structure alignment • Essential for reliability Structure Analysis Period (15-50) • Default: 30 bars • Period for structure pattern analysis • Affects support/resistance calculation • Match to your trading timeframe Minimum Structure Alignment (0.3-0.8) • Default: 0.5 • Required structure score for valid patterns • Higher values need stronger structure • Balance with desired frequency Section 4: Analysis Configuration Minimum Strength Level (3-5) • Default: 4 • Minimum confirmations for pattern display • 5 = Maximum reliability, 3 = More patterns • Beginners should use 4-5 Required Technical Confirmations (4-6) • Default: 5 • Number of aligned technical factors • Higher = fewer but better patterns • Works with High Confirmation Mode Pattern Separation (3-20 bars) • Default: 8 bars • Minimum bars between patterns • Prevents clustering and overtrading • Increase for cleaner charts Section 5: Technical Filters Momentum Validation • Default: True (Enabled) • Requires momentum alignment • Filters counter-trend patterns • Essential for trend following Volume Confluence Analysis • Default: True (Enabled) • Requires volume confirmation • Identifies institutional participation • Critical for reliability Trend Direction Filter • Default: True (Enabled) • Only shows patterns with trend • Reduces counter-trend signals • Disable for reversal hunting Section 6: Volume Flow Analysis Institutional Activity Threshold (1.2-3.5) • Default: 2.0 • Multiplier for unusual volume detection • Lower finds more institutional activity • Stock: 2.0-2.5, Forex: 1.5-2.0, Crypto: 2.5-3.5 Volume Surge Multiplier (1.8-4.5) • Default: 2.5 • Defines significant volume increases • Adjust per instrument characteristics • Higher for stocks, lower for forex Volume Flow Period (12-35) • Default: 18 bars • Smoothing for volume analysis • Shorter = responsive, longer = smooth • Match to timeframe used Section 7: Analysis Frequency Control Maximum Analysis Points Per Hour (1-5) • Default: 3 • Limits pattern frequency • Prevents overtrading • Scalpers: 4-5, Swing traders: 1-2 Section 8: Target Level Configuration Target Calculation Method • Default: Market Adaptive • Three modes available: - Fixed: Uses set point distances - Dynamic: ATR-based calculations - Market Adaptive: Structure-based levels Minimum Target/Risk Ratio (1.0-3.0) • Default: 1.5 • Minimum acceptable reward vs risk • Higher filters lower probability setups • Professional standard: 1.5-2.0 Fixed Mode Settings: • Fixed Target Distance: 50 points default • Fixed Invalidation Distance: 30 points default • Use for consistent instruments Dynamic Mode Settings: • Dynamic Target Multiplier: 1.8x ATR default • Dynamic Invalidation Multiplier: 1.0x ATR default • Adapts to volatility automatically Market Adaptive Settings: • Use Structure Levels: True (default) • Structure Level Buffer: 0.1% default • Places levels at actual support/resistance Section 9: Visual Display Settings Color Theme Options • Professional (Teal/Red) - Bullish: Teal (#26a69a) - Bearish: Red (#ef5350) - Neutral: Gray (#78909c) - Best for: Traditional traders, clean appearance • Dark (Neon Green/Pink) - Bullish: Neon Green (#00ff88) - Bearish: Hot Pink (#ff0044) - Neutral: Dark Gray (#333333) - Best for: Dark theme users, high contrast • Light (Green/Red Classic) - Bullish: Green (#4caf50) - Bearish: Red (#f44336) - Neutral: Light Gray (#9e9e9e) - Best for: Light backgrounds, traditional colors • Vibrant (Cyan/Magenta) - Bullish: Cyan (#00ffff) - Bearish: Magenta (#ff00ff) - Neutral: Medium Gray (#888888) - Best for: High visibility, modern appearance Dashboard Position • Options: Top Left, Top Right, Bottom Left, Bottom Right, Middle Left, Middle Right • Default: Top Right • Choose based on chart layout preference Dashboard Size • Full: Complete information display (desktop) • Mobile: Compact view for small screens • Default: Full Analysis Display Style • Arrows : Simple directional markers • Labels : Detailed text information • Zones : Colored areas showing pattern regions • Default: Labels (most informative) Display Options: • Display Analysis Strength: Shows star rating • Display Target Levels: Shows target/invalidation lines • Display Market Regime: Shows regime in pattern labels --- HOW TO USE SMPS - DETAILED GUIDE Understanding the Dashboard Top Row - Header • SMPS Dashboard title • VALUE column: Current readings • STATUS column: Condition assessments Market Regime Row • Shows: TRENDING, RANGING, VOLATILE, QUIET, or TRANSITIONAL • Color coding: Green = Favorable, Red = Caution • Status: FAVORABLE or CAUTION trading conditions Market Score Row • Percentage from 0-100% • Above 60% = Strong conditions • 40-60% = Moderate conditions • Below 40% = Weak conditions Structure Row • Direction: BULLISH, BEARISH, or NEUTRAL • Status: INTACT or BREAK • Orange BREAK indicates structure failure Volume Flow Row • Direction: BUYING or SELLING • Intensity: STRONG or WEAK • Color indicates dominant pressure Momentum Row • Numerical momentum value • Positive = Upward pressure • Negative = Downward pressure Volume Status Row • INST = Institutional activity detected • HIGH = Above average volume • NORM = Normal volume levels Adaptive Mode Row • ACTIVE = Parameters adjusting • STATIC = Fixed parameters • Shows required confirmations Analysis Level Row • Minimum strength level setting • Pattern separation in bars Market State Row • Current analysis: BULLISH, BEARISH, NEUTRAL • Shows analysis price level when active T:R Ratio Row • Current target to risk ratio • GOOD = Meets minimum requirement • LOW = Below minimum threshold Strength Row • BULL or BEAR dominance • Numerical strength value 0-100 Price Row • Current price • Percentage change Last Analysis Row • Previous pattern direction • Bars since last pattern Reading Pattern Signals Bullish Structure Pattern • Upward triangle or "Bullish Structure" label • Star rating shows strength (★★★★★ = strongest) • Green line = potential target level • Red dashed line = invalidation level • Appears below price bars Bearish Structure Pattern • Downward triangle or "Bearish Structure" label • Star rating indicates reliability • Green line = potential target level • Red dashed line = invalidation level • Appears above price bars Pattern Strength Interpretation • ★★★★★ = 6 confirmations (exceptional) • ★★★★☆ = 5 confirmations (strong) • ★★★☆☆ = 4 confirmations (moderate) • ★★☆☆☆ = 3 confirmations (minimum) • Below minimum = filtered out Visual Elements on Chart Lines and Levels: • Gray Line = 21 EMA trend reference • Green Stepline = Dynamic support level • Red Stepline = Dynamic resistance level • Green Solid Line = Active target level • Red Dashed Line = Active invalidation level Pattern Markers: • Triangles = Arrow display mode • Text Labels = Label display mode • Colored Boxes = Zone display mode Target Completion Labels: • "Target" = Price reached target level • "Invalid" = Pattern invalidated by price --- RECOMMENDED USAGE BY TIMEFRAME 1-Minute Charts (Scalping) • Sensitivity: 0.8-1.2 • Noise Reduction: 3-4 • Pattern Separation: 3-5 bars • High Confirmation: Optional • Best for: Quick intraday moves 5-Minute Charts (Precision Intraday) • Sensitivity: 1.0 (default) • Noise Reduction: 4 (default) • Pattern Separation: 8 bars • High Confirmation: Enabled • Best for: Day trading 15-Minute Charts (Short Swing) • Sensitivity: 1.0-1.5 • Noise Reduction: 4-5 • Pattern Separation: 10-12 bars • High Confirmation: Enabled • Best for: Intraday swings 30-Minute to 1-Hour (Position Trading) • Sensitivity: 1.5-2.0 • Noise Reduction: 5-7 • Pattern Separation: 15-20 bars • Regime Period: 75-100 • Best for: Multi-day positions Daily Charts (Swing Trading) • Sensitivity: 1.8-2.0 • Noise Reduction: 6-7 • Pattern Separation: 20 bars • All filters enabled • Best for: Long-term analysis --- MARKET-SPECIFIC SETTINGS Forex Pairs • Minimum Move: 0.05-0.10% • Institutional Threshold: 1.5-2.0 • Volume Surge: 1.8-2.2 • Target Mode: Dynamic or Market Adaptive Stock Indices (ES, NQ, YM) • Minimum Move: 0.10-0.15% • Institutional Threshold: 2.0-2.5 • Volume Surge: 2.5-3.0 • Target Mode: Market Adaptive Individual Stocks • Minimum Move: 0.15-0.25% • Institutional Threshold: 2.0-2.5 • Volume Surge: 2.5-3.5 • Target Mode: Dynamic Cryptocurrency • Minimum Move: 0.20-0.50% • Institutional Threshold: 2.5-3.5 • Volume Surge: 3.0-4.5 • Target Mode: Dynamic • Increase noise reduction --- PRACTICAL APPLICATION EXAMPLES Example 1: Strong Trending Market Dashboard Reading: • Market Regime: TRENDING • Market Score: 75% • Structure: BULLISH, INTACT • Volume Flow: BUYING, STRONG • Momentum: +0.45 Interpretation: • Strong uptrend environment • Institutional buying present • Look for bullish patterns as continuation • Higher probability of success • Consider using lower sensitivity Example 2: Range-Bound Conditions Dashboard Reading: • Market Regime: RANGING • Market Score: 35% • Structure: NEUTRAL • Volume Flow: SELLING, WEAK • Momentum: -0.05 Interpretation: • No clear direction • Low opportunity environment • Patterns are less reliable • Consider waiting for regime change • Or switch to a range-trading approach Example 3: Structure Break Alert Dashboard Reading: • Previous: BULLISH structure • Current: Structure BREAK • Volume: INST flag active • Momentum: Shifting negative Interpretation: • Trend reversal potentially beginning • Institutional participation detected • Watch for bearish pattern confirmation • Adjust bias accordingly • Increase caution on long positions Example 4: Volatile Market Dashboard Reading: • Market Regime: VOLATILE • Market Score: 45% • Adaptive Mode: ACTIVE • Confirmations: Increased to 6 Interpretation: • Choppy conditions • Parameters auto-adjusted • Fewer but higher quality patterns • Wider stops may be needed • Consider reducing position size Below are a few chart examples of the Smart Money Precision Structure (SMPS) indicator in action. • Example 1 – Bullish Structure Detection on SOLUSD 5m • Example 2 – Bearish Structure Detected with Strong Confluence on SOLUSD 5m --- TROUBLESHOOTING GUIDE No Patterns Appearing Check these settings: • High Confirmation Mode may be too restrictive • Minimum Strength Level may be too high • Market Clarity threshold may be too high • Regime filter may be blocking patterns • Try increasing sensitivity Too Many Patterns Adjust these settings: • Enable High Confirmation Mode • Increase Minimum Strength Level to 5 • Increase Pattern Separation • Reduce Sensitivity below 1.0 • Enable all technical filters Dashboard Shows "CAUTION" This indicates: • Market conditions are unfavorable • Regime is RANGING or QUIET • Market score is low • Consider waiting for better conditions • Or adjust expectations accordingly Patterns Not Reaching Targets Consider: • Market may be choppy • Volatility may have changed • Try Dynamic target mode • Reduce target/risk ratio requirement • Check if regime is VOLATILE --- ALERTS CONFIGURATION Alert Message Format Alerts include: • Pattern type (Bullish/Bearish) • Strength rating • Market regime • Analysis price level • Target and invalidation levels • Strength percentage • Target/Risk ratio • Educational disclaimer Setting Up Alerts • Click Alert button on TradingView • Select SMPS indicator • Choose alert frequency • Customize message if desired • Alerts fire on pattern detection --- DATA WINDOW INFORMATION The Data Window displays: • Market Regime Score (0-100) • Market Structure Bias (-1 to +1) • Bullish Strength (0-100) • Bearish Strength (0-100) • Bull Target/Risk Ratio • Bear Target/Risk Ratio • Relative Volume • Momentum Value • Volume Flow Strength • Bull Confirmations Count • Bear Confirmations Count --- BEST PRACTICES AND TIPS For Beginners • Start with default settings • Use High Confirmation Mode • Focus on TRENDING regime only • Paper trade first • Learn one timeframe thoroughly For Intermediate Users • Experiment with sensitivity settings • Try different target modes • Use multiple timeframes • Combine with price action analysis • Track pattern success rate For Advanced Users • Customize per instrument • Create setting templates • Use regime information for bias • Combine with other indicators • Develop systematic rules --- IMPORTANT DISCLAIMERS • This indicator is for educational and informational purposes only • Not financial advice or a trading system • Past performance does not guarantee future results • Trading involves substantial risk of loss • Always use appropriate risk management • Verify patterns with additional analysis • The author is not a registered investment advisor • No liability accepted for trading losses --- VERSION NOTES Version 1.0.0 - Initial Release • Six-layer confluence system • Adaptive parameter technology • Institutional volume detection • Market regime classification • Structure break identification • Real-time dashboard • Multiple display modes • Comprehensive settings ## My Final Thoughts Smart Money Precision Structure represents an advanced approach to market analysis, bringing institutional-grade techniques to retail traders through intelligent automation and multi-dimensional evaluation. By combining six analytical frameworks with adaptive parameter adjustment, SMPS provides comprehensive market intelligence that single indicators cannot achieve. The indicator serves as an educational tool for understanding how professional traders analyze markets, while providing practical pattern detection for those seeking to improve their technical analysis. Remember that all trading involves risk, and this tool should be used as part of a complete analysis approach, not as a standalone trading system. - BullByte
Pine Script®指标
由BullByte提供
6
CNN Statistical Trading System [PhenLabs]📌 DESCRIPTION An advanced pattern recognition system utilizing Convolutional Neural Network (CNN) principles to identify statistically significant market patterns and generate high-probability trading signals. CNN Statistical Trading System transforms traditional technical analysis by applying machine learning concepts directly to price action. Through six specialized convolution kernels, it detects momentum shifts, reversal patterns, consolidation phases, and breakout setups simultaneously. The system combines these pattern detections using adaptive weighting based on market volatility and trend strength, creating a sophisticated composite score that provides both directional bias and signal confidence on a normalized -1 to +1 scale. 🚀 CONCEPTS • Built on Convolutional Neural Network pattern recognition methodology adapted for financial markets • Six specialized kernels detect distinct price patterns: upward/downward momentum, peak/trough formations, consolidation, and breakout setups • Activation functions create non-linear responses with tanh-like behavior, mimicking neural network layers • Adaptive weighting system adjusts pattern importance based on current market regime (volatility < 2% and trend strength) • Multi-confirmation signals require CNN threshold breach (±0.65), RSI boundaries, and volume confirmation above 120% of 20-period average 🔧 FEATURES Six-Kernel Pattern Detection: Simultaneous analysis of upward momentum, downward momentum, peak/resistance, trough/support, consolidation, and breakout patterns using mathematically optimized convolution kernels. Adaptive Neural Architecture: Dynamic weight adjustment based on market volatility (ATR/Price) and trend strength (EMA differential), ensuring optimal performance across different market conditions. Professional Visual Themes: Four sophisticated color palettes (Professional, Ocean, Sunset, Monochrome) with cohesive design language. Default Monochrome theme provides clean, distraction-free analysis. Confidence Band System: Upper and lower confidence zones at 150% of threshold values (±0.975) help identify high-probability signal areas and potential exhaustion zones. Real-Time Information Panel: Live display of CNN score, market state with emoji indicators, net momentum, confidence percentage, and RSI confirmation with dynamic color coding based on signal strength. Individual Feature Analysis: Optional display of all six kernel outputs with distinct visual styles (step lines, circles, crosses, area fills) for advanced pattern component analysis. User Guide • Monitor CNN Score crossing above +0.65 for long signals or below -0.65 for short signals with volume confirmation • Use confidence bands to identify optimal entry zones - signals within confidence bands carry higher probability • Background intensity reflects signal strength - darker backgrounds indicate stronger conviction • Enter long positions when blue circles appear above oscillator with RSI < 75 and volume > 120% average • Enter short positions when dark circles appear below oscillator with RSI > 25 and volume confirmation • Information panel provides real-time confidence percentage and momentum direction for position sizing decisions • Individual feature plots allow granular analysis of specific pattern components for strategy refinement 💡Conclusion CNN Statistical Trading System represents the evolution of technical analysis, combining institutional-grade pattern recognition with retail accessibility. The six-kernel architecture provides comprehensive market pattern coverage while adaptive weighting ensures relevance across all market conditions. Whether you’re seeking systematic entry signals or advanced pattern confirmation, this indicator delivers mathematically rigorous analysis with intuitive visual presentation.
Pine Script®指标
由PhenLabs提供
11
2HH2LL [CCE_Charts]Detects the "Two Higher Highs, Two Lower Lows" (2HH2LL) pattern formation and provides strength analysis with trade signals. The indicator displays visual markers, S/R zones, and clear signals for LONG or SHORT positions. Pattern Description The 2HH2LL pattern consists of two consecutive higher highs and two consecutive lower lows. This formation can signal potential trend reversals or continuations depending on market context. Key Features • Pattern strength analysis using S/R zone and volume confirmation • Clear LONG or SHORT trade signals • Visual markers highlighting pattern components • Support/Resistance zone visualization • Customizable alerts for real-time notifications • Detailed information panel How to Use This Indicator 1. Add the indicator to your chart 2. Configure settings based on your trading style 3. Look for the "2HH2LL" label when a valid pattern forms 4. Check the pattern strength (STRONG, MEDIUM, WEAK) 5. Note the trade direction signal (LONG or SHORT) 6. Verify the pattern with other technical tools 7. Set up alerts for real-time notifications Settings Guide Pattern Settings • Lookback Period: Controls pivot point detection (5-50) • Minimum Swing Strength: Required percentage change between highs/lows Confirmation Settings • S/R Zone Size: Size of support/resistance zone • Volume Confirmation Threshold: Volume multiple required for confirmation • Volume Average Period: Bars used for volume average calculation Visual Settings • Show H1/H2/L1/L2 Labels: Toggle pattern component labels • Show S/R Zone: Toggle support/resistance zone display Signal Settings • Trade Direction: How trade direction is determined (SHORT, LONG, AUTO) Alert Settings • Alert on All Patterns: Trigger alerts for all valid patterns • Alert on STRONG Patterns Only: Only alert on strong patterns • Alert on Direction: Filter alerts by trade direction Pattern Strength Analysis The indicator classifies pattern strength into three categories: • STRONG: Both confirmation factors present (S/R test and volume) • MEDIUM: One confirmation factor present • WEAK: No confirmation factors present For best results, use this indicator in combination with other technical tools and always consider the broader market context.
Pine Script®指标
由CCE_Charts提供
Scalping Entry/Exit Indicator by DiGetImagine having a tool that not only spots high-probability entry signals but also visually marks them on your chart with color-coded cues and automated alerts. The Scalping Entry/Exit Indicator by DiGet does exactly that—by fusing a range of classic candlestick patterns (such as Bullish Hammers, Engulfing patterns, and Morning/Evening Stars) with dynamic risk management levels, this script empowers you to make swift and informed trading decisions. Whether you're an active trader or an algorithm enthusiast, this indicator offers both precision and clarity in identifying scalp opportunities, making your chart analysis more efficient and visually engaging. Indicator Breakdown Input Parameters: The indicator accepts a customizable risk-reward ratio, an ATR period for volatility measurement, and a lookback period to scan for valid candlestick patterns. ATR & Candle Calculations: It computes the Average True Range (ATR) to dynamically set stop-loss and take-profit levels. Additionally, it determines the body and wick sizes of each candlestick to help identify key reversal patterns. Pattern Detection: Multiple bullish patterns (Hammer, Engulfing, Morning Star) and bearish patterns (Shooting Star, Engulfing, Evening Star) are detected. There’s also a simplified version of the Head & Shoulders pattern, offering further validation for reversal signals. Signal Generation & Trade Levels: The script consolidates the pattern signals into combined “buy” and “sell” triggers. It then calculates the respective stop-loss (SL) and take-profit (TP) levels based on the current price and ATR, providing a robust risk management framework. Visual Aids & Alerts: To enhance usability, the indicator changes the chart’s background color to green for buy signals and red for sell signals. It also draws labels, lines (representing SL and TP), and markers directly on the chart, along with alert conditions to notify traders of actionable signals. This indicator is an excellent addition to your TradingView toolkit—ideal for scalpers and short-term traders seeking clarity, precision, and automated signal generation on their charts. Enjoy trading with confidence and precision!
Pine Script®指标
由mikailhs提供
3
TrinityBar**TrinityBar Strategy Description** The TrinityBar strategy is a price‐action based trading model that leverages Bill Williams’ bar thirds concept to generate entry signals and execute market orders automatically. Here’s how it works: 1. **Bar Thirds Calculation:** The strategy calculates the range of both the current fully formed bar and the previous fully formed bar. It then divides each bar’s range into three equal parts (thirds). - For the current bar, the lower third and upper third levels are computed. - The same is done for the previous bar. 2. **Bar Type Classification:** Each bar is classified into one of several types based on where its open and close fall relative to its thirds: - **Bullish Patterns:** - *1‑3 Bar:* Opens in the lower third and closes in the upper third. - *2‑3 Bar:* Opens in the middle third and closes in the upper third. - *3‑3 Bar:* Both open and close are in the upper third. - **Bearish Patterns:** - *3‑1 Bar:* Opens in the upper third and closes in the lower third. - *2‑1 Bar:* Opens in the middle third and closes in the lower third. - *1‑1 Bar:* Both open and close are in the lower third. 3. **Signal Generation:** - **Bullish Signal:** A valid buy is generated when the previous bar exhibits any bullish pattern (1‑3, 2‑3, or 3‑3) and the current bar is either a 1‑3 or a 3‑3 bar. - **Bearish Signal:** A valid sell is generated when the previous bar shows any bearish pattern (1‑1, 2‑1, or 3‑1) and the current bar is either a 1‑1 or a 3‑1 bar. 4. **Visual Alerts:** When a valid signal is identified, the strategy plots a small triangle below the bar for a buy signal (labeled “B” in green) and a triangle above the bar for a sell signal (labeled “S” in red). 5. **Trade Execution:** Once a signal is confirmed: - If a bullish signal is generated, any short positions are closed, and if there is no existing long position, a market long order is entered. - Conversely, if a bearish signal occurs, any long positions are closed, and a market short order is entered if not already in a short position. This strategy is designed to capture significant price expansions by relying solely on price action and bar structure, without relying on lagging indicators. It provides a mechanical, systematic approach that removes emotional bias from trading decisions.
Pine Script®策略
由Forex-Therapy提供
MEMEQUANTMEMEQUANT This script is a comprehensive and specialized tool designed for tracking trends and money flow within meme coins and DEX tokens. By combining various features such as trend lines, Fibonacci levels, and category-based indices, it helps traders make informed decisions in highly volatile markets. Key Features: 1. Category-Based Indices: • Tracks the performance of token categories like: • AI Agent Tokens • AI Tokens • Animal Tokens • Murad Picks • Each category consists of leader tokens, which are selected based on their higher market cap and trading volume. These tokens act as benchmarks for their respective categories. • Visualizes category indices in a line chart to identify trends and compare money flow between categories. 2. Fibonacci Correction Zones: • Highlights key retracement levels (e.g., 60%, 70%, 80%). • These levels are crucial for identifying potential reversal zones, commonly observed in meme coin trading patterns. • Fully customizable to match individual trading strategies. 3. Trend Lines: • Automatically detects major support and resistance levels. • Separates long-term and short-term trend lines, allowing traders to focus on significant price movements. 4. Enhanced Info Table: • Provides real-time insights, including: • % Distance from All-Time High (ATH) • Current Trading Volume • 50-bar Average Volume • Volume Change Percentage • Displays information in an easy-to-read table on the chart. 5. Customizable Settings: • Users can adjust transparency, colors, and ranges for Fibonacci zones, trend lines, and the table. • Enables or disables individual features (e.g., Fibonacci, trend lines, table) based on preferences. How It Works: 1. Tracking Money Flow Across Categories: • The script calculates the market cap to volume ratio for each category of tokens to help identify the dominant trend. • A higher ratio indicates greater liquidity and stability, while a lower ratio suggests higher volatility or price manipulation. 2. Identifying Retracement Patterns: • Leverages common retracement behaviors (e.g., 70% correction levels) observed in meme coins to detect potential reversal zones. • Combines this with trend line analysis for additional confirmation. 3. Leader Tokens as Indicators: • Each category is represented by its leader tokens, which have historically higher liquidity and market cap. This allows the script to accurately reflect the overall trend in each category. When to Use: • Trend Analysis: To identify which category (e.g., AI Tokens or Animal Tokens) is leading the market. • Reversal Zones: To spot potential support or resistance levels using Fibonacci zones. • Money Flow: To understand how capital is moving across different token categories in real time. Who Is This For? This script is tailored for: • Traders specializing in meme coins and DEX tokens. • Those looking for an edge in trend-based trading by analyzing market cap, volume, and retracement levels. • Anyone aiming to track money flow dynamics between different token categories. Future Updates: This is the initial version of the script. Future updates may include: • Support for additional token categories and DEX data. • More advanced pattern recognition and alerts for volume and price anomalies. • Enhanced visualization for historical data trends. With this tool, traders can combine money flow analysis with the 60-70% retracement strategy, turning it into a powerful assistant for navigating the fast-paced world of meme coins and DEX tokens. This script is designed to provide meaningful insights and practical utility for traders, adhering to TradingView’s standards for originality, clarity, and user value.
Pine Script®指标
由NarmoonAI提供
2
Engulfing Candlestick StrategyEver wondered whether the Bullish or Bearish Engulfing pattern works or has statistical significance? This script is for you. It works across all markets and timeframes. The Engulfing Candlestick Pattern is a widely used technical analysis pattern that traders use to predict potential price reversals. It consists of two candles: a small candle followed by a larger one that "engulfs" the previous candle. This pattern is considered bullish when it occurs in a downtrend (bullish engulfing) and bearish when it occurs in an uptrend (bearish engulfing). Statistical Significance of the Engulfing Pattern: While many traders rely on candlestick patterns for making decisions, research on the statistical significance of these patterns has produced mixed results. A study by Dimitrios K. Koutoupis and K. M. Koutoupis (2014), titled "Testing the Effectiveness of Candlestick Chart Patterns in Forex Markets," indicates that candlestick patterns, including the engulfing pattern, can provide some predictive power, but their success largely depends on the market conditions and timeframe used. The researchers concluded that while some candlestick patterns can be useful, traders must combine them with other indicators or market knowledge to improve their predictive accuracy. Another study by Brock, Lakonishok, and LeBaron (1992), "Simple Technical Trading Rules and the Stochastic Properties of Stock Returns," explores the profitability of technical indicators, including candlestick patterns, and finds that simple trading rules, such as those based on moving averages or candlestick patterns, can occasionally outperform a random walk in certain market conditions. However, Jorion (1997), in his work "The Risk of Speculation: The Case of Technical Analysis," warns that the reliability of candlestick patterns, including the engulfing patterns, can vary significantly across different markets and periods. Therefore, it's important to use these patterns as part of a broader trading strategy that includes other risk management techniques and technical indicators. Application Across Markets: This script applies to all markets (e.g., stocks, commodities, forex) and timeframes, making it a versatile tool for traders seeking to explore the statistical effectiveness of the bullish and bearish engulfing patterns in their own trading. Conclusion: This script allows you to backtest and visualize the effectiveness of the Bullish and Bearish Engulfing patterns across any market and timeframe. While the statistical significance of these patterns may vary, the script provides a clear framework for evaluating their performance in real-time trading conditions. Always remember to combine such patterns with other risk management strategies and indicators to enhance their predictive power.
Pine Script®策略
由EdgeTools提供
Wave Surge [UAlgo]The "Wave Surge " is a comprehensive indicator designed to provide advanced wave pattern analysis for market trends and price movements. Built with customizable parameters, it caters to both beginner and advanced traders looking to improve their decision-making process. This indicator utilizes wave-based calculations, adaptive thresholds, and volume analysis to detect and visualize key market signals. By integrating multiple analysis techniques. It calculates waves for high, low, and close prices using a configurable moving average (EMA) technique and pairs it with volume and baseline analysis to confirm patterns. The result is a robust framework for identifying potential entry and exit points in the market. 🔶 Key Features Wave-Based Analysis: This indicator computes waves using exponential moving averages (EMA) of high, low, and close prices, with an adjustable wave period to suit different market conditions. Customizable Baseline: Traders can select from multiple baseline types, including VWMA (Volume-Weighted Moving Average), EMA, SMA (Simple Moving Average), and HMA (Hull Moving Average), for trend confirmation. Adaptive Thresholds: The adaptive threshold feature dynamically adjusts sensitivity based on a chosen period, ensuring the indicator remains responsive to varying market volatility. Volume Analysis: The integrated volume analysis calculates volume ratios and allows traders to enable or disable this feature to refine signal accuracy. Pattern Recognition: The indicator identifies specific wave patterns (Wave 1, Wave 3, Wave 4, Wave 5, Wave 6) and visually plots them on the chart for easy interpretation. Visual and Color-Coded Signals: Clear visual signals (upward and downward arrows) are plotted on the chart to highlight potential bullish or bearish patterns. The baseline is color-coded for an intuitive understanding of market trends. Configuration: Parameters for wave period, baseline length, volume factors, and sensitivity can be tailored to align with the trader’s strategy and market environment. 🔶 Interpreting the Indicator Wave Patterns The indicator detects and plots six unique wave patterns based on price changes that exceed an adaptive threshold. These patterns are validated by the direction of the baseline: Wave 1 (Bullish): Triggered when the price increases above the threshold while the baseline is falling. Wave 3, 4, and 6 (Bearish): Indicate potential downtrends validated by a rising baseline. Wave 5 (Bullish): Suggests upward momentum when prices exceed the threshold with a falling baseline. Baseline Trend The baseline serves as a trend confirmation tool, dynamically changing color to reflect market direction: Aqua (Rising): Indicates an upward trend. Red (Falling): Indicates a downward trend. Volume Confirmation When enabled, the volume analysis feature ensures that signals are supported by significant volume movements. Patterns with high volume are considered more reliable. Signal Visualization Upward Arrows (🡹): Highlight potential bullish opportunities. Downward Arrows (🡻): Highlight potential bearish opportunities. Alerts Alerts are triggered when key wave patterns are identified, providing traders with timely notifications to take action without being tied to the screen. 🔶 Disclaimer Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals. Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator. Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies. Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses. No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Pine Script®指标
由UAlgo提供
RSI Difference (Fast and Slow)Introduction Oscillators like the RSI are fundamental tools for identifying trends in financial markets. Their ability to measure price momentum allows traders to detect overbought, oversold levels, and divergences, anticipating trend changes. Are there ways to improve the use of traditional RSI? How can we obtain more detailed information about current trends? This indicator answers these questions by expanding the functionalities of the traditional RSI and offering an additional tool for analysis. How does it work? This indicator provides a framework for trend analysis based on the following setup: Fast RSI Slow RSI SMA of the fast RSI SMA of the slow RSI Histogram Custom Indicator Settings My preferred configuration is based on the 13 and 55 moving averages. The rest of the setup is as follows: I typically use the 13 and 55 moving averages to configure both the RSI and short- and long-term moving averages. Interpretation and Signals: Including a Long-Period RSI Including a long-period RSI helps identify key patterns in market behavior. Crossovers between the two can be used to establish entry patterns: If the fast RSI crosses above the slow RSI, this could indicate a long-entry pattern. If the fast RSI crosses below the slow RSI, this could indicate a short-entry pattern. Interpretation and Signals: Including Moving Averages Including moving averages for both the short- and long-period RSI can help identify the base trend of the movement and, consequently: Avoid false signals. Trade in favor of the trend. A simple way to start working with these is to use the crossover of the moving averages to identify the current trend: If the short-period SMA is above the long-period SMA, the trend is bullish. If the short-period SMA is below the long-period SMA, the trend is bearish. Interpretation and Signals: The Histogram The histogram represents the difference between the moving averages. If the histogram is positive, the short average is above the long average. If the histogram is below zero, the short average is below the long average. Divergences with price provide signals of potential exhaustion in the movement, indicating a possible reversal. Indicator Details This indicator builds upon the traditional RSI by integrating additional features that enhance its utility for traders. Here’s how each component is calculated and how they contribute to the originality of the script: Fast RSI and Slow RSI: The fast RSI is calculated using a shorter lookback period, allowing it to capture rapid changes in momentum. The slow RSI uses a longer period to smooth out fluctuations and provide a broader view of the trend. These two RSIs work together to identify significant momentum shifts. SMA of RSI values: The simple moving averages (SMA) of the fast and slow RSI help filter out noise and provide clear crossover signals. The SMAs are calculated using standard formulas but applied to the RSI values rather than price data, which adds a layer of insight into momentum trends. Histogram calculation: The histogram represents the difference between the SMA of the fast RSI and the SMA of the slow RSI. This value gives a visual representation of the convergence or divergence of momentum. When the histogram crosses zero, it signifies a potential shift in the underlying trend. This indicator combines multiple layers of analysis: fast and slow momentum, trend confirmation through SMAs, and divergence detection via the histogram. This multi-dimensional approach provides traders with a more comprehensive tool for trend analysis and decision-making. Conclusion This article has explored how to use this indicator to identify trends, leverage entry patterns, and analyze divergences by combining the fast RSI, slow RSI, their moving averages, and a histogram. Additionally, I’ve detailed how I usually interpret this indicator: Identifying RSI patterns to anticipate momentum changes. Using SMAs to confirm base trends. Leveraging the histogram to detect divergences and potential price reversals.
Pine Script®指标
由Fractanomics提供