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EMA KitEMA Kit delivers multiple 1D EMA's wrapped into a single indicator. I was annoyed with having a bunch of EMA indicators on the left side of my chart for each individual EMA I rely on, so I created a single indicator with all of them. This EMA kit allows you to select any combination of the following EMA's: 3D, 5D, 8D, 21D, 34D, 50D, 100D, 200D, and 200W. They are all based on the 1D timeframe regardless of the timeframe you're currently viewing on your chart - for example, if you toggle from a Daily chart to a 15 minute chart, the EMA's won't change to reflect the 15 minute timeframe. EMA Kit smoothes the lines to prevent staggering on lower timeframes. You can change the color scheme and line thickness and even toggle between different line types like area, histogram, etc. You also have the option to turn end-of-line price labels on/off. Current price level for each EMA is highlighted on the price scale.
Pine Script®指标
由Makin_Bacon提供
EMA/SMA Market Indicator V1 (Situational Awareness Uptrend)Red condition (highest priority in code) Background = red if any of these are true: Close < 10MA OR Close < 20MA OR (10MA and 20MA slopes ≤ threshold → “flat/down”) Green condition (only if not red) Background = green if: (Close > 10MA or Close > 20MA) AND Close > 50MA Otherwise = nothing (transparent) If neither red nor green is true → background is off. So when is there no background? Close is not below 10MA Close is not below 20MA MAs are not both flat/down AND the price fails the “green test” (ex. under 50MA, or not above 10/20).
Pine Script®指标
由rienohtrade提供
Uptrick: Volatility Weighted CloudIntroduction The Volatility Weighted Cloud (VWC) is a trend-tracking overlay that combines adaptive volatility-based bands with a multi-source smoothed price cloud to visualize market bias. It provides users with a dynamic structure that adapts to volatility conditions while maintaining a persistent visual record of trend direction. By incorporating configurable smoothing techniques, percentile-ranked volatility, and multi-line cloud construction, the indicator allows traders to interpret price context more effectively without relying on raw price movement alone. Overview The script builds a smoothed price basis using the open, and close prices independently, and uses these to construct a layered visual cloud. This cloud serves both as a reference for price structure and a potential area of dynamic support and resistance. Alongside this cloud, adaptive upper and lower bands are plotted using volatility that scales with percentile rank. When price closes above or below these bands, the script interprets that as a breakout and updates the trend bias accordingly. Candle coloring is persistent and reflects the most recent confirmed signal. Labels can optionally be placed on the chart when the trend bias flips, giving traders additional visual reference points. The indicator is designed to be both flexible and visually compact, supporting different strategies and timeframes through its detailed configuration options. Originality This script introduces originality through its combined use of percentile-ranked volatility, adaptive envelope sizing, and multi-source cloud construction. Unlike static-band indicators, the Volatility Weighted Cloud adjusts its band width based on where current volatility ranks within a defined lookback range. This dynamic scaling allows for smoother signal behavior during low-volatility environments and more responsive behavior during high-volatility phases. Additionally, instead of using a single basis line, the indicator computes two separate smoothed lines for open and close. These are rendered into a shaded visual cloud that reflects price structure more completely than traditional moving average overlays. The use of ALMA and MAD, both less commonly applied in volatility-band overlays, adds further control over smoothing behavior and volatility measurement, enhancing its adaptability across different market types. Inputs Group: Core Basis Length (short-term): The number of bars used for calculating the primary basis line. Affects how quickly the basis responds to price changes. Basis Type: Option to choose between EMA and ALMA. EMA provides a standard exponential average; ALMA offers a centered, Gaussian-weighted average with reduced lag. ALMA Offset: Determines the balance point of the ALMA window. Only applies when ALMA is selected. Sigma: Sets the width of the ALMA smoothing window, influencing how much smoothing is applied. Basis Smoothing EMA: Adds additional EMA-based smoothing to the computed basis line for noise reduction. Group: Volatility & Bands Volatility: Choose between StDev (standard deviation) and MAD (median absolute deviation) for measuring price volatility. Vol Length (short-term): Length of the window used for calculating volatility. Vol Smoothing EMA: Smooths the raw volatility value to stabilize band behavior. Min Multiplier: Minimum multiplier applied to volatility when forming the adaptive bands. Max Multiplier: Maximum multiplier applied at high volatility percentile. Volatility Rank Lookback: Number of bars used to calculate the percentile rank of current volatility. Show Adaptive Bands: Enables or disables the display of upper and lower volatility bands on the chart. Group: Trend Switch Labels Show Trend Switch Labels: Toggles the appearance of labels when the trend direction changes. Label Anchor: Defines whether the labels are anchored to recent highs/lows or to the main basis line. ATR Length (offset): Length used for calculating ATR, which determines label offset distance. ATR Offset (multiplier): Multiplies the ATR value to place labels away from price bars for better visibility. Label Size: Allows selection of label size (tiny to huge) to suit different chart setups. Features Adaptive Volatility Bands: The indicator calculates volatility using either standard deviation or MAD. It then applies an EMA smoothing layer and scales the band width dynamically based on the percentile rank of volatility over a user-defined lookback window. This avoids fixed-width bands and allows the indicator to adapt to changing volatility regimes in real time. Volatility Method Options: Users can switch between two volatility measurement methods: ➤ Standard Deviation (StDev): Captures overall price dispersion, but may be sensitive to spikes. ➤ Median Absolute Deviation (MAD): A more robust measure that reduces the effect of outliers, making the bands less jumpy during erratic price behavior. Basis Type Options: The core price basis used for cloud and bands can be built from: ➤ Exponential Moving Average (EMA): Fast-reacting and widely used in trend systems. ➤ Arnaud Legoux Moving Average (ALMA): A smoother, more centered alternative that offers greater control through offset and sigma parameters. Multi-Line Basis Cloud: The cloud is formed by plotting two individually smoothed basis lines from open and close prices. A filled area is created between the open and close basis lines. This cloud serves as a dynamic support or resistance zone, allowing users to identify possible reversal areas. Price moving through or rejecting from the cloud can be interpreted contextually, especially when combined with band-based signals. Persistent Trend Bias Coloring: The indicator uses the last confirmed breakout (above upper band or below lower band) to determine bias. This bias is reflected in the color of every subsequent candle, offering a persistent visual cue until a new signal is triggered. It helps simplify trend recognition, especially in choppy or sideways markets. Trend Switch Labels: When enabled, the script places labeled markers at the exact bar where the bias direction switches. Labels are anchored either to recent highs/lows or to the main basis line, and spaced vertically using an ATR-based offset. This allows the trader to quickly locate historical trend transitions. Alert Conditions: Two built-in alert conditions are available: ➤ Long Signal: Triggered when the close crosses above the upper adaptive band. ➤ Short Signal: Triggered when the close crosses below the lower adaptive band. These conditions can be used for custom alerts, automation, or external signaling tools. Display Control and Flexibility: Users can disable the adaptive bands for a cleaner layout while keeping the basis cloud and candle coloring active. The indicator can be tuned for fast or slow response depending on the strategy in use, and is suitable for intraday, swing, or position trading. Summary The Volatility Weighted Cloud is a configurable trend-following overlay that uses adaptive volatility bands and a structured cloud system to help visualize market bias. By combining EMA or ALMA smoothing with percentile-ranked volatility and a four-line price structure, it provides a flexible and informative charting layer. Its key strengths lie in the use of dynamic envelopes, visually persistent trend indication, and clearly defined breakout zones that adapt to current volatility conditions. Disclaimer This indicator is for informational and educational purposes only. Trading involves risk and may not be suitable for all investors. Past performance does not guarantee future results.
Pine Script®指标
由Uptrick提供
23
Best MA Finder: Sharpe/Sortino ScannerThis script, Best MA Finder: Sharpe/Sortino Scanner, is a tool designed to identify the moving average (SMA or EMA) that best acts as a dynamic trend threshold on a chart, based on risk-adjusted historical performance. It scans a wide range of MA lengths (SMA or EMA) and selects the one whose simple price vs MA crossover delivered the strongest results using either the Sharpe ratio or the Sortino ratio. Reading it is intuitive: when price spent time above the selected MA, conditions were on average more favorable in the backtest; below, less favorable. It is a trend and risk gauge, not an overbought or oversold signal. What it does: - Runs individual long-only crossover backtests for many MA lengths across short to very long horizons. - For each length, measures the total number of trades, the annualized Sharpe ratio, and the annualized Sortino ratio. - Uses the chosen metric value (Sharpe or Sortino) as the score to rank candidates. - Applies a minimum trade filter to discard statistically weak results. - Optionally applies a local stability filter to prefer a length that also outperforms its close neighbors by at least a small margin. - Selects the optimal MA and displays it on the chart with a concise summary table. How to use it: - Choose MA type: SMA or EMA. - Choose the metric: Sharpe or Sortino. - Set the minimum trade count to filter out weak samples. - Select the risk-free mode: Auto: uses a short-term risk-free rate for USD-priced symbols when available. Manual: you provide a risk-free ticker. None: no risk-free rate. - Optionally enable stability controls: neighbor radius and epsilon. - Toggle the on-chart summary table as needed. On-chart output: - The selected optimal MA is plotted. - The optional table shows MA length, number of trades, chosen metric value annualized, and the annual risk-free rate used. Key features: - Risk-adjusted optimization via Sharpe or Sortino for fair, comparable assessment. - Broad MA scan with SMA and EMA support. - Optional stability filter to avoid one-off spikes. - Clear and auditable presentation directly on the chart. Use cases: - Traders who want a defensible, data-driven trend threshold without manual trial and error. - Swing and trend-following workflows across timeframes and asset classes. - Quick SMA vs EMA comparisons using risk-adjusted results. Limitations: - Not a full trading strategy with position sizing, costs, funding, slippage, or stops. - Long-only, one position at a time. - Discrete set of MA lengths, not a continuous optimizer. - Requires sufficient price history and, if used, a reliable risk-free series. This script is open-source and built from original logic. It does not replicate closed-source scripts or reuse significant external components.
Pine Script®指标
由Julien_Eche提供
2
Smart TP Manager V.1.1 (SL trail par TP)🔹 Smart TP Manager V1.1 – Trade Management Advanced A powerful TradingView tool designed to enhance trade management and protect profits. Features: Automatically detect Long/Short signals using EMA crossovers, RSI filter, higher-timeframe EMA trend, and ADX strength. Calculate and display a dynamic Stop Loss based on ATR. Automatically set TP1, TP2, TP3 with advanced Breakeven management: SL moves to Entry after TP1 hit SL moves to TP1 after TP2 hit, securing partial profits Track your performance with a comprehensive statistics table (Win/Loss, BE, win rate, net profit in R). Clear visual display of entries, SL, and TPs using colored lines and labels. Receive automatic alerts for every signal and target reached. Optional SL trailing feature to secure profits progressively as targets are hit. 📊 Smart TP Manager V1.1 is your assistant for risk control, trade optimization, and profit protection on TradingView.
Pine Script®指标
由sufian97提供
1
FSVZO | Lyro RSFSVZO | Lyro RS This script is a technical analysis tool called the FSVZO, or Fourier Smoothed Volume Zone Oscillator. It is designed to analyze market momentum and trend strength by combining price and volume data with advanced smoothing techniques. The goal is to help identify potential trends, overbought/oversold conditions, and divergence signals in a clear visual format. Understanding the Indicator's Components The indicator plots a main oscillator line and several supporting elements on a separate pane below the chart. The Main Oscillator: This is the primary, colored wave. Its movement and color are key to interpretation. Trend Direction: The color shifts between bullish and bearish tones based on the momentum of the oscillator. This provides a quick visual reference for the prevailing short-term trend. Key Levels: Horizontal lines mark significant levels such as +60, +85, -60, and -85. Movements above +60 or below -60 can indicate strong momentum, while approaches to the extreme levels (+85/-85) may suggest overbought or oversold conditions. Divergence Detection: The indicator can plot labels ("ℝ" for Regular, "ℍ" for Hidden) on the oscillator to signal potential divergences. These occur when the indicator's direction differs from the price action on the main chart and can sometimes foreshadow reversals or continuations. Moving Average (MA): A central moving average line, based on the oscillator, helps to smooth out the data further and can act as a dynamic support or resistance level within the indicator pane. White Noise Filter (Optional): This feature displays a histogram that represents market noise. It can be toggled on or off. Analyzing the histogram's behavior may provide additional context on the stability or volatility of the current trend. Dynamic Background: The background of the indicator pane can change color to highlight periods where the momentum is particularly strong, based on the position of the moving average. Suggested Use and Interpretation Traders might use this indicator in several ways: Trend Identification: Observe the color and position of the main oscillator. A predominantly bullish-colored oscillator above the zero line may suggest an upward trend, while a bearish-colored one below zero may suggest a downward trend. Signal Confirmation: Look for the oscillator to cross key levels (like +/-40 or +/-60) in the direction of a suspected trend as a confirmation signal. Divergence Analysis: When the price makes a new high or low that is not confirmed by a new high or low on the FSVZO oscillator (a divergence), it can be a warning of potential weakness in the trend. The "ℝ" and "ℍ" labels help to identify these scenarios. Extreme Readings: Readings near the +85 or -85 levels can indicate that a price move may be overextended, which could precede a pause or reversal. Customization Options The indicator includes settings groups that allow you to adjust its behavior and appearance: FSVZO Settings: Adjust parameters like Length and Sensitivity to make the oscillator more or less responsive to market movements. Signals & Display: Modify visual aspects such as Smooth Length and Glowing Amount, or toggle features like the dynamic background on and off. Colors: Choose from several pre-set color palettes to suit your visual preferences. ⚠️Disclaimer This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Pine Script®指标
由LyroRS提供
2
EMA Regime (9/20/50/100/200) — Stacked with 200 FilterEMA Regime (9/20/50/100/200) — Stacked Long/Short Box Plots the 9, 20, 50, 100, and 200 EMAs on the chart. Checks if price is above or below each EMA and whether the EMAs are stacked in order. LONG signal: price above all selected EMAs and EMAs stacked 9 > 20 > 50 > 100 >(> 200 if strict mode on). SHORT signal: price below all selected EMAs and EMAs stacked 9 < 20 < 50 < 100 (< 200 if strict mode on). Shows a two-row table (LONGS / SHORTS) so you can quickly see which EMAs are aligned. Optionally colors candles green/red when a full long/short regime is active. Can show labels when a new LONG or SHORT condition appears. Has alerts you can use for automated notifications when the regime flips. “Use 200 EMA in the stack” lets you choose ultra-strict mode (9>20>50>100>200) or lighter mode (9>20>50>100 but price & 9 above 200).
Pine Script®指标
由jamesmchugh44提供
Universal Valuation ~ GForge 🎯 Universal Valuation - GForge Overview: The Universal Valuation indicator is a sophisticated technical analysis tool that combines 14 different technical indicators into a single, normalized composite Z-score. This revolutionary approach provides traders and investors with a comprehensive view of an asset's relative valuation state, helping identify potential overvalued and undervalued conditions across any market, any timeframe . 🌟 Key Features: Multi-Indicator Fusion: Combines RSI, CCI, Bollinger Bands, Price Analysis, Chande Momentum, Disparity Index, Hurst Exponent, IMI, TEMA, VWAP, Intraday Momentum, and advanced Risk Ratios (Sharpe, Sortino, Omega) Universal Compatibility: Works seamlessly across stocks, forex, crypto, commodities, indices, and any tradeable asset Multi-Timeframe Support: Optimized for all timeframes from 1-minute scalping to monthly long-term analysis Professional Visualization: 9 stunning color themes with gradient effects and customizable styling Comprehensive Dashboard: Real-time table displaying individual indicator scores and overall valuation phase Smart Alert System: Built-in notifications for extreme valuation conditions Z-Score Normalization: All indicators standardized for consistent comparison and interpretation 🔬 Technical Methodology: The indicator employs advanced statistical normalization using Z-scores to transform disparate technical indicators into a unified measurement system. This revolutionary approach solves the fundamental problem of combining indicators with different scales and ranges. 1H MNT Z-Score Normalization Process: Raw Calculation: Each indicator is first calculated using its traditional formula (RSI 0-100, CCI unlimited range, etc.) Statistical Analysis: For each indicator, the system calculates a rolling mean and standard deviation over a customizable lookback period Z-Score Conversion: Current reading is converted using: Z = (Current Value - Rolling Mean) / Rolling Standard Deviation Standardization: All Z-scores are clamped between -5 and +5 to prevent extreme outliers from dominating the composite Democratic Weighting: Each normalized indicator contributes equally to the final composite score Composite Calculation: Final score = Sum of all active Z-scores / Number of active indicators Why Z-Scores Make It Universal: Z-scores transform any indicator reading into "how many standard deviations away from normal this reading is." This means: • An RSI of 85 on a volatile crypto might have the same Z-score as an RSI of 75 on a stable stock • A CCI reading of +200 in a trending market might be less extreme than +100 in a ranging market • Price movements are automatically adjusted for each asset's historical volatility • Different timeframes are automatically normalized for their typical volatility patterns This mathematical approach ensures the indicator adapts to any asset's unique characteristics and market conditions. 📊 Detailed Component Analysis: Technical Indicators: RSI (Relative Strength Index): Calculates momentum by comparing recent gains to recent losses over a customizable period (default 21). Values above 70 traditionally indicate overbought conditions, while values below 30 suggest oversold conditions. The Universal Valuation converts these raw RSI values into Z-scores, providing a normalized view of how extreme current RSI readings are compared to historical patterns. CCI (Commodity Channel Index): Measures the current price level relative to an average price level over a given period (default 30). CCI compares the typical price (high+low+close)/3 to its simple moving average and divides by the mean absolute deviation. Values above +100 or below -100 indicate price extremes. Our Z-score normalization helps identify when CCI readings are statistically significant. Bollinger Bands Position: Calculates where the current price sits within the Bollinger Bands envelope. A value of +1 means price is at the upper band, -1 at the lower band, and 0 at the middle (SMA). This component measures price deviation from the mean in standard deviation units, making it naturally statistical. The Z-score normalization reveals when band position readings are historically extreme. Price Z-Score: Direct statistical measurement of how far the current price deviates from its historical mean in standard deviation units. This is the purest form of valuation measurement, showing whether an asset is trading at statistically significant levels relative to its historical price range. Momentum Indicators: Chande Momentum Oscillator (CMO): Unlike RSI, CMO uses the sum of gains and losses rather than averages, making it more sensitive to recent price changes. It calculates (sum of gains - sum of losses) / (sum of gains + sum of losses) × 100. Values range from -100 to +100. The Z-score normalization helps identify when momentum readings are unusually extreme. Disparity Index: Measures the percentage difference between current price and its simple moving average: (Price - SMA) / SMA × 100. This shows how far price has deviated from its average, with positive values indicating price above average and negative values below. Z-score normalization reveals when these deviations are statistically significant. Intraday Momentum Index (IMI): Similar to RSI but uses intraday price movements instead of closing prices. It compares gains and losses within each session (close vs open) rather than session-to-session changes. This captures intraday sentiment and momentum that closing-based indicators might miss. Particularly useful for detecting intraday reversal patterns. Intraday Momentum: Simple but effective measurement of daily price movement: (Close - Open) / Open × 100. This shows the percentage gain or loss within each trading session. When Z-score normalized, it reveals when intraday movements are historically extreme, often indicating climax buying or selling conditions. Advanced Indicators: TEMA (Triple Exponential Moving Average): A sophisticated moving average that applies exponential smoothing three times to reduce lag while maintaining responsiveness. TEMA = 3×EMA₁ - 3×EMA₂ + EMA₃, where each EMA is applied to the previous result. The Z-score of TEMA helps identify when price has moved significantly away from this responsive trend line. VWAP (Volume Weighted Average Price): Calculates the average price weighted by volume, giving more importance to prices where more volume occurred. VWAP = Σ(Price × Volume) / Σ(Volume). This represents the "fair value" based on actual trading activity. Z-score normalization shows when current VWAP is statistically extreme relative to historical VWAP levels. Hurst Exponent: Advanced mathematical concept measuring market efficiency and trend persistence. Values near 0.5 indicate random walk (efficient market), above 0.5 suggest trending behavior, and below 0.5 indicate mean-reverting markets. The indicator converts this to an oscillator: (Hurst - 0.5) × 100, then applies Z-score normalization to identify extreme efficiency/inefficiency periods. Risk Ratios: Sharpe Ratio: Classic risk-adjusted return measure: (Return - Risk-free Rate) / Standard Deviation of Returns. Higher values indicate better risk-adjusted performance. The Z-score normalization reveals when current risk-adjusted returns are historically high or low, helping identify periods of exceptional or poor risk-adjusted performance. Sortino Ratio: Improvement over Sharpe ratio that only penalizes downside volatility: (Return - Risk-free Rate) / Downside Deviation. This gives a more accurate picture of risk-adjusted returns since upside volatility isn't necessarily bad. Z-score normalization helps identify when downside risk-adjusted returns reach extreme levels. Omega Ratio: Sophisticated risk measure that considers the probability-weighted ratio of gains versus losses above a threshold: Σ(Gains above threshold) / Σ(Losses below threshold). Values above 1.0 indicate positive expected returns above the threshold. Z-score normalization reveals when probability-weighted risk/reward ratios reach historically significant levels. 🎨 Valuation Phases: The composite Z-score translates into clear valuation phases: 🔵 Extremely Undervalued: Z-Score ≤ -2.0 (Rare buying opportunities) 🟦 Strongly Undervalued: Z-Score ≤ -1.3 (Strong buying signals) 🟨 Moderately Undervalued: Z-Score ≤ -0.65 (Potential value plays) ⚪ Fairly Valued: Z-Score -0.65 to 0.5 (Neutral territory) 🟨 Slightly Overvalued: Z-Score 0.5 to 1.2 (Caution advised) 🟧 Moderately Overvalued: Z-Score 1.2 to 2.0 (Consider profit-taking) 🔴 Strongly Overvalued: Z-Score > 2.0 (High risk, potential sell signals) 12H GOLD 🌍 Universal Application: Why "Universal"? Timeframe Independent: Statistical normalization adapts to any timeframe's volatility characteristics Market Neutral: Works across different market conditions (trending, ranging, volatile, calm) Configurable Components: Enable/disable specific indicators based on asset type and market conditions Adaptive Parameters: All lookback periods are customizable for different trading styles 💡 Optimal Use Cases: Swing Trading: Identify intermediate-term reversal points Position Trading: Long-term value assessment for portfolio allocation Day Trading: Intraday extreme condition alerts Risk Management: Position sizing based on valuation extremes Multi-Asset Analysis: Compare relative value across different instruments Market Timing: Entry and exit point optimization ⚙️ Customization Options: Component Selection: Enable/disable any of the 14 indicators Lookback Periods: Adjust Z-score calculation periods for each component Visual Themes: 9 professional color schemes plus custom colors Alert Thresholds: Configurable extreme condition notifications Dashboard Display: Toggle individual component visibility Background Highlighting: Visual emphasis for extreme conditions 🎯 Interpretation Guide: For Long Positions: • Look for Z-scores below -1.3 for entry opportunities • Consider profit-taking when Z-scores exceed +1.2 • Use extreme readings (< -2.0) for high-conviction entries For Short Positions: • Look for Z-scores above +2.0 for entry opportunities • Cover positions when Z-scores fall below +0.5 • Avoid shorting during extreme undervaluation (< -1.3) For Risk Management: • Reduce position sizes during overvalued conditions • Increase allocation during undervalued periods • Use neutral zones (±0.5) for position adjustments 🔔 Alert System: Built-in alerts notify you when: Composite score enters/exits strong overvalued territory (±2.0) Composite score enters/exits strong undervalued territory (±1.3) Extreme conditions are reached (±2.5 for overvalued, -2.0 for undervalued) Neutral crossovers occur (useful for trend changes) 📈 Performance Optimization: The indicator includes several performance optimizations: Efficient calculation methods to minimize processing load Clamped Z-scores to prevent extreme outliers Optimized table rendering for smooth operation 🎨 Visual Elements: Main Plot: Composite Z-score line with dynamic gradient coloring Zone Fills: Visual bands showing valuation regions Reference Lines: Key threshold levels clearly marked Background Highlighting: Extreme condition emphasis Dashboard Table: Comprehensive component breakdown Bar Coloring: Optional candlestick coloring based on valuation 🔧 Technical Requirements: Requires sufficient historical data for accurate Z-score calculations Recommended minimum: 300+ bars for optimal performance Works on all TradingView subscription levels 📚 Educational Value: This indicator serves as an excellent educational tool for: Understanding statistical normalization in trading Learning how multiple indicators can be combined effectively Studying market valuation concepts across different assets Developing a systematic approach to market analysis ⚠️ Important Notes: The indicator works best with sufficient historical data Consider market context and fundamental factors alongside technical signals Backtest thoroughly before implementing in live trading Adjust parameters based on specific asset characteristics and trading timeframe Use in conjunction with other analysis methods for best results --- ⚠️ DISCLAIMER: This indicator is provided for educational and informational purposes only and should not be considered as financial advice, investment advice, trading advice, or any other type of advice. The Universal Valuation indicator is a technical analysis tool that provides statistical information about price movements and market conditions. It does not guarantee profits or predict future market movements with certainty. --- Developed with precision for the TradingView community ~ GForge
Pine Script®指标
由GForge提供
RSI: alternative derivationMost traders accept the Relative Strength Index (RSI) as a standard tool for measuring momentum. But what if RSI is actually a position indicator? This script introduces an alternative derivation of RSI, offering a fresh perspective on its true nature. Instead of relying on the traditional calculation of average gains and losses, this approach directly considers the price's position relative to its equilibrium (moving average), adjusted for volatility. While the final value remains identical to the standard RSI, this alternative derivation offers a completely new understanding of the indicator. Key components: Price (Close) Utilizes the closing price, consistent with the original RSI formula. normalization factor Transforms raw calculations into a fixed range between -1 and +1. normalization_factor = 1 / (Length - 1) EMA of Price Applies Wilder’s Exponential Moving Average (EMA) to the price, serving as the anchor point for measuring price position, similar to the traditional RSI formula. myEMA = ta.rma(close,Length) EMA of close-to-close absolute changes (unit of volatility) Adjusts for market differences by applying a Wilder’s EMA to absolute price changes (volatility), ensuring consistency across various assets. CC_vol = ta.rma(math.abs(close - close ),Length) Calculation Breakdown DISTANCE: Calculate the difference between the closing price and its Wilder's EMA. A positive value indicates the price is above the EMA; a negative value indicates it is below. distance = close - myEMA STANDARDIZED DISTANCE Divide the distance by the unit of volatility to standardize the measurement across different markets. S_distance = distance / CC_vol NORMALIZED DISTANCE Normalize the standardized distance using the normalization factor (n-1) to adjust for the lookback period. N_distance = S_distance * normalization_factor RSI Finally, scale the normalized distance to fit within the standard RSI range of 0 to 100. myRSI = 50 * (1 + N_distance) The final equation: RSI = 50 × What This Means for RSI Same RSI Values, Different Interpretation The standard RSI formula may obscure its true measurement, whereas this approach offers clarity. RSI primarily indicates the price's position relative to its equilibrium, rather than directly measuring momentum. RSI can still be used to analyze momentum, but in a more intuitive and well-informed way.
Pine Script®指标
由AdaptiveRSI提供
Smart TP Manager V.1.0🔹 Smart TP Manager V1.0 is a complete trade management tool for TradingView. It allows you to: Automatically detect Long/Short signals using EMA crossovers, RSI filter, higher-timeframe EMA trend, and ADX. Calculate and display a dynamic Stop Loss based on ATR. Automatically set TP1, TP2, TP3 with Breakeven management (risk set to zero after TP1). Track performance with a statistics table (Win/Loss, BE, win rate, net profit in R). Get a clear visual display of entries, SL, and TP with colored lines and labels. Receive automatic alerts for every signal or target reached. 📊 It’s a risk and trade exit management assistant designed to optimize your trades and secure your profits.
Pine Script®指标
由sufian97提供
Session ORB 15m Synced + Pre-Sessions + MAs (final v3)Session ORB Live Pro — Pre-Market Boxes & MA Suite Description (EN): Session ORB Live Pro is a Pine v6 indicator built for intraday traders who rely on Opening Range Breakouts. It draws session boxes for London, New York, and Asia—plus configurable Pre-London and Pre-New York windows—live from the very first candle (no waiting for 10 bars). The high/low levels update in real time, and optional breakout alerts fire the moment price closes beyond the range. To keep charts clean and relevant for scalping, the boxes auto-hide on chart timeframes above 20 minutes. Beyond ranges, the tool adds a compact moving-average suite: SMA-50 and RMA-200 out of the box, plus three fully customizable MAs (SMA/EMA/RMA/WMA/HMA) with selectable color, thickness, and style (line, stepline, circles). Each session and pre-session can be toggled on/off and tinted with its own color, so you can tailor the visual map of liquidity grabs and range breaks to your strategy. Key features Live ORB boxes for London, New York, Asia (no 10-bar delay). Pre-sessions: Pre-London & Pre-New York with independent time windows and colors. Auto visibility filter: boxes show only on ≤ 20m chart TF; hidden on higher TFs. Breakout alerts when price closes above/below the session range (ready for alert() rules). MA toolkit: SMA-50, RMA-200 + 3 user MAs (SMA/EMA/RMA/WMA/HMA) with color, style, and width. Clean inputs using input.session; robust, low-friction UX. How to use Set your ORB calculation timeframe (e.g., 15m) and choose which sessions/pre-sessions to display. Pick colors for each box and enable alerts if you want instant breakout notifications. Configure the MA suite for trend bias and dynamic S/R (e.g., SMA-50 for momentum, RMA-200 for bias). Trade the first clean break or the retest of the ORB extremes—your choice. The visual map updates tick by tick.
Pine Script®指标
由CarlosVillacis82提供
1
BTC Momentum Strategy - RSI & Stoch RSI Entry and EMA ExitBTC Momentum Strategy: RSI & Stoch RSI Entry with EMA Exit This strategy is designed to identify potentially strong entry points for Bitcoin (BTC) during periods of shifting momentum and then ride the trend until it shows signs of weakness. It's a straightforward, long-only strategy, meaning it only looks for opportunities to buy and then sell for a profit. How It Works: The strategy combines a few classic indicators to make its decisions. Think of it as a two-step confirmation system for buying, with a simple rule for selling. 1. The Buy Signal (Green Triangle) To generate a buy signal, the strategy looks for two things to happen at the same time: RSI Confirmation: It first waits for the Relative Strength Index (RSI) to show signs of bullish momentum. Specifically, it's looking for the RSI line to cross above its own moving average, suggesting that strength is starting to build from a lower level. This helps catch moves as they begin to turn positive. Stochastic RSI Confirmation: As an extra layer of confirmation, it also checks the Stochastic RSI. This helps filter out weaker signals and confirm that momentum is truly shifting upwards from an oversold or "bottomed-out" condition. When both of these conditions are met, a green "buy" triangle will appear below the candle, and the strategy will enter a long position. 2. The Sell Signal (Red Triangle) The exit rule is simple and designed to let your winners run while protecting you when the trend reverses. * EMA-Based Exit: The strategy plots an orange line on your chart, which is an Exponential Moving Average (EMA). The strategy will hold the position as long as the price stays above this line. If a candle closes *below* the orange EMA line, it's taken as a sign that the short-term trend is weakening, and the strategy will close the position to lock in profits or cut losses. A red "sell" triangle will appear above that candle. Best Use: This strategy was built with Bitcoin in mind and tends to perform best on higher timeframes like the Weekly charts. It aims to capture major swings rather than small, quick scalps. You can adjust all the settings for the RSI, Stochastic RSI, and the Exit EMA to fine-tune the strategy to your own trading style.
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