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指标和策略

Triple Trend Indicator [BigBeluga]Triple Trend Indicator is a versatile trend-following tool designed to help traders identify trend strength and potential pullback levels using a three-band system. Each band represents a varying degree of price deviation from the mean, providing progressively stronger trend signals. 🔵 Key Features: Three Adaptive Bands: The indicator dynamically calculates three bands (1, 2, and 3) based on moving averages (SMA, EMA, WMA) and ATR multipliers. Bands are positioned below the price in an uptrend and above the price in a downtrend, offering clear trend direction visualization. Signal System: Signals are generated when price interacts with the bands: Signal 1: Triggered when the price touches Band 1, indicating a minor pullback within the trend. Signal 2: Triggered at Band 2, showing a stronger price deviation and trend confirmation. Signal 3: Triggered at Band 3, representing the most significant price deviation and strongest trend signal. The further the price deviates from the mean, the stronger the trend signal, with Signal 3 being the most robust. Color-Coded Bands: Bands dynamically change color based on the trend direction: Green bands signify an uptrend. Brown bands signify a downtrend. Dynamic Trend Line Changes: Dashed lines highlight trend changes, helping traders visualize key turning points in the market. 🔵 Usage: Use the bands to identify trend direction and strength. Monitor the signal system to assess the level of price deviation and potential pullback strength. Combine Signal 1, 2, and 3 to confirm trend momentum: Signal 1 suggests a weaker pullback and continuation. Signal 2 indicates a stronger trend confirmation. Signal 3 highlights the strongest momentum and potential exhaustion points. Utilize the color-coded bands for an intuitive understanding of current market conditions. The Triple Trend Indicator is an ideal tool for trend traders looking for structured signals and dynamic support and resistance levels to optimize entries and exits.
Pine Script™指标
由BigBeluga提供
4
THE EDGE FXThis indicator is designed to enhance chart organization for traders by providing essential tools for analysis and time management. Key features include: 1. Notes and Watermarks: - Allows traders to add customizable notes and watermarks directly on the chart for better information tracking and organization. 2. Unique Day and Week Separation: - Dynamically separates days and weeks based on the selected UTC timezone. This feature is ideal for global traders managing different time zones and ensures accurate time segmentation on the chart. 3. Fractal Marking: - Automatically highlights fractal points on the chart, helping traders identify potential reversal or continuation zones based on classic fractal analysis principles. How It Works: - The indicator overlays additional visual elements on the chart without altering the underlying data. - Time segmentation is achieved using an algorithm that adapts to the selected UTC timezone for clear and accurate visualization. - Fractal detection follows standard technical analysis rules to identify key price levels. Usage Instructions: - Add the indicator to your chart and configure the settings for your preferred timezone. - Use the notes feature to save and display critical information directly on the chart. - Utilize fractal markings to analyze potential turning points and market trends. This indicator provides a streamlined way to manage your chart annotations and fractal analysis, making it an essential tool for both intraday and swing traders.
Pine Script™指标
由AlexxxFX提供
Price Action Box - Improved with ATR*Unlocking Market Insights with the "Price Action Box - Improved with ATR" Indicator* In the ever-evolving world of trading, having the right tools to analyze price action is crucial. The *"Price Action Box - Improved with ATR"* indicator is a powerful Pine Script™ tool designed to help traders identify key supply and demand zones, track swing highs and lows, and make informed decisions based on market structure. This article delves into the standout features of this indicator and how it can enhance your trading strategy. --- ### *1. Dynamic Supply and Demand Zones* The indicator identifies *supply and demand zones* using swing highs and swing lows, which are critical levels where price reversals are likely to occur. These zones are plotted as boxes on the chart, making them visually intuitive. The zones are dynamically adjusted based on the *Average True Range (ATR)*, ensuring they adapt to changing market volatility. - *Supply Zones*: Represented by red boxes, these zones indicate areas where selling pressure may dominate. - *Demand Zones*: Represented by green boxes, these zones highlight areas where buying pressure may emerge. The ATR-based buffer ensures that the zones are neither too tight nor too wide, providing a balanced view of potential reversal areas. --- ### *2. ATR-Enhanced Precision* The inclusion of the *Average True Range (ATR)* is a game-changer. By incorporating ATR, the indicator adjusts the width of the supply and demand zones based on market volatility. This ensures that the zones remain relevant across different market conditions, whether the market is trending or ranging. - *Box Width Multiplier*: Traders can customize the width of the zones using the ATR multiplier, allowing for flexibility based on individual trading styles. --- ### *3. Swing Highs and Lows with Labels* The indicator automatically detects *swing highs* and *swing lows* based on a user-defined length. These levels are crucial for understanding market structure and identifying potential reversal points. - *Price Action Labels: Traders can enable labels to display whether a swing high is a **Higher High (HH)* or *Lower High (LH), and whether a swing low is a **Higher Low (HL)* or *Lower Low (LL)*. This feature provides additional context for trend analysis. --- ### *4. Break of Structure (BOS) Detection* One of the most advanced features of this indicator is its ability to detect *Break of Structure (BOS). When price breaks out of a supply or demand zone, the indicator marks this event with a **BOS label*, signaling a potential shift in market sentiment. - *BOS for Supply Zones*: A break below a demand zone is marked as a bearish BOS. - *BOS for Demand Zones*: A break above a supply zone is marked as a bullish BOS. This feature helps traders identify key levels where the market may continue in the direction of the breakout. --- ### *5. Moving Average Filter* To further refine the signals, the indicator includes an optional *Moving Average (MA) filter*. When enabled, the indicator only plots supply and demand zones when the price is above (or below) the MA, ensuring alignment with the broader trend. - *Customizable MA Length*: Traders can adjust the MA length to suit their trading timeframe and strategy. --- ### *6. Visual Customization* The indicator offers extensive customization options to suit individual preferences: - *Zone Colors*: Traders can customize the colors of supply and demand zones, as well as their outlines. - *POI Labels: The **Point of Interest (POI)* labels mark the midpoint of each zone, providing a clear reference for potential entry or exit points. - *Label Text and Size*: All labels and text can be adjusted for size and color, ensuring clarity on the chart. --- ### *7. Efficient Memory Management* The indicator is designed to optimize performance by limiting the number of historical zones displayed. Traders can specify how many zones to keep on the chart, preventing clutter and ensuring focus on the most relevant levels. --- ### *8. Multi-Timeframe Compatibility* The "Price Action Box - Improved with ATR" indicator is compatible with all timeframes, making it suitable for scalpers, day traders, and swing traders alike. Whether you're analyzing a 1-minute chart or a daily chart, the indicator adapts seamlessly to your needs. --- ### *Why This Indicator Stands Out* The combination of *price action analysis, **ATR-based adjustments, and **advanced features like BOS detection* makes this indicator a must-have tool for traders. It not only simplifies the process of identifying key levels but also provides actionable insights that can be integrated into various trading strategies. --- ### *How to Use It in Your Trading* 1. *Identify Key Zones*: Use the supply and demand zones to spot potential reversal areas. 2. *Monitor Breakouts*: Watch for BOS signals to confirm trend continuations. 3. *Filter with MA*: Use the MA filter to align zones with the prevailing trend.
Pine Script™指标
由doganayy2提供
1
RSI & RSI-MA Buy-Sell IndicatorThe RSI & RSI-MA Buy-Sell Indicator is a technical analysis tool designed to identify potential trading opportunities based on the Relative Strength Index (RSI) and its moving average (RSI-MA). The indicator provides clear buy and sell signals when specific conditions are met, helping traders make informed decisions. How It Works This indicator is based on two main components: Relative Strength Index (RSI): Measures the strength and momentum of price movements. RSI Moving Average (RSI-MA): A simple moving average of RSI values, used to smooth out volatility and confirm trends. Trading Signals: A buy signal occurs when the RSI crosses above 70 after previously being below 30, and the RSI-MA is above a predefined threshold. A sell signal is generated when the RSI crosses below 30 after previously being above 70, and the RSI-MA is below the threshold. Visual labels for "BUY" and "SELL" appear on the RSI chart rather than the price chart, making it easier to interpret the signals. Alerts can be set to notify traders when a buy or sell condition is met. Benefits of the Indicator Clear Trading Signals: The indicator removes subjectivity by providing distinct buy and sell signals. Enhanced Trend Confirmation: RSI-MA helps validate RSI movements, reducing false signals. Customizable Inputs: Traders can adjust the RSI period, RSI-MA period, and reference level based on their strategy. Efficient for Momentum Trading: Works well in volatile markets where RSI movements are pronounced. Compatible with Alerts: Can send notifications when trading conditions are met, allowing traders to act swiftly. Risks & Limitations False Signals in Sideways Markets: RSI can generate misleading signals when the market lacks a clear trend. Lagging Nature of Moving Averages: RSI-MA may cause a delay in signal generation compared to RSI alone. Market Conditions Dependency: Works best in trending markets but may be unreliable during low volatility. Not a Standalone Strategy: Should be used in conjunction with other indicators, fundamental analysis, and risk management techniques. Overbought/Oversold Assumptions: Just because RSI reaches extreme levels doesn’t guarantee a reversal—prices can remain overbought/oversold for extended periods. Conclusion The RSI & RSI-MA Buy-Sell Indicator is a powerful tool for identifying momentum shifts and potential trade setups. However, like all technical indicators, it has limitations and should be used alongside other analysis techniques. Traders must implement proper risk management and avoid relying solely on RSI signals for trading decisions. With careful usage, this indicator can help enhance decision-making and improve trade timing in dynamic markets.
Pine Script™指标
由TyphoonXChain提供
Multi-indicator Signal Builder [Skyrexio]Overview Multi-Indicator Signal Builder is a versatile, all-in-one script designed to streamline your trading workflow by combining multiple popular technical indicators under a single roof. It features a single-entry, single-exit logic, intrabar stop-loss/take-profit handling, an optional time filter, a visually accessible condition table, and a built-in statistics label. Traders can choose any combination of 12+ indicators (RSI, Ultimate Oscillator, Bollinger %B, Moving Averages, ADX, Stochastic, MACD, PSAR, MFI, CCI, Heikin Ashi, and a “TV Screener” placeholder) to form entry or exit conditions. This script aims to simplify strategy creation and analysis, making it a powerful toolkit for technical traders. Indicators Overview 1. RSI (Relative Strength Index) Measures recent price changes to evaluate overbought or oversold conditions on a 0–100 scale. 2. Ultimate Oscillator (UO) Uses weighted averages of three different timeframes, aiming to confirm price momentum while avoiding false divergences. 3. Bollinger %B Expresses price relative to Bollinger Bands, indicating whether price is near the upper band (overbought) or lower band (oversold). 4. Moving Average (MA) Smooths price data over a specified period. The script supports both SMA and EMA to help identify trend direction and potential crossovers. 5. ADX (Average Directional Index) Gauges the strength of a trend (0–100). Higher ADX signals stronger momentum, while lower ADX indicates a weaker trend. 6. Stochastic Compares a closing price to a price range over a given period to identify momentum shifts and potential reversals. 7. MACD (Moving Average Convergence/Divergence) Tracks the difference between two EMAs plus a signal line, commonly used to spot momentum flips through crossovers. 8. PSAR (Parabolic SAR) Plots a trailing stop-and-reverse dot that moves with the trend. Often used to signal potential reversals when price crosses PSAR. 9. MFI (Money Flow Index) Similar to RSI but incorporates volume data. A reading above 80 can suggest overbought conditions, while below 20 may indicate oversold. 10. CCI (Commodity Channel Index) Identifies cyclical trends or overbought/oversold levels by comparing current price to an average price over a set timeframe. 11. Heikin Ashi A type of candlestick charting that filters out market noise. The script uses a streak-based approach (multiple consecutive bullish or bearish bars) to gauge mini-trends. 12. TV Screener A placeholder condition designed to integrate external buy/sell logic (like a TradingView “Buy” or “Sell” rating). Users can override or reference external signals if desired. Unique Features 1. Multi-Indicator Entry and Exit You can selectively enable any subset of 12+ classic indicators, each with customizable parameters and conditions. A position opens only if all enabled entry conditions are met, and it closes only when all enabled exit conditions are satisfied, helping reduce false triggers. 2. Single-Entry / Single-Exit with Intrabar SL/TP The script supports a single position at a time. Once a position is open, it monitors intrabar to see if the price hits your stop-loss or take-profit levels before the bar closes, making results more realistic for fast-moving markets. 3. Time Window Filter Users may specify a start/end date range during which trades are allowed, making it convenient to focus on specific market cycles for backtesting or live trading. 4. Condition Table and Statistics A table at the bottom of the chart lists all active entry/exit indicators. Upon each closed trade, an integrated statistics label displays net profit, total trades, win/loss count, average and median PnL, etc. 5. Seamless Alerts and Automation Configure alerts in TradingView using “Any alert() function call.” The script sends JSON alert messages you can route to your own webhook. The indicator can be integrated with Skyrexio alert bots to automate execution on major cryptocurrency exchanges 6. Optional MA/PSAR Plots For added visual clarity, optionally plot the chosen moving averages or PSAR on the chart to confirm signals without stacking multiple indicators. Methodology 1. Multi-Indicator Entry Logic When multiple entry indicators are enabled (e.g., RSI + Stochastic + MACD), the script requires all signals to align before generating an entry. Each indicator can be set for crossovers, crossunders, thresholds (above/below), etc. This “AND” logic aims to filter out low-confidence triggers. 2. Single-Entry Intrabar SL/TP One Position At a Time: Once an entry signal triggers, a trade opens at the bar’s close. Intrabar Checks: Stop-loss and take-profit levels (if enabled) are monitored on every tick. If either is reached, the position closes immediately, without waiting for the bar to end. 3. Exit Logic All Conditions Must Agree: If the trade is still open (SL/TP not triggered), then all enabled exit indicators must confirm a closure before the script exits on the bar’s close. 4. Time Filter Optional Trading Window: You can activate a date/time range to constrain entries and exits strictly to that interval. Justification of Methodology Indicator Confluence: Combining multiple tools (RSI, MACD, etc.) can reduce noise and false signals. Intrabar SL/TP: Capturing real-time spikes or dips provides a more precise reflection of typical live trading scenarios. Single-Entry Model: Straightforward for both manual and automated tracking (especially important in bridging to bots). Custom Date Range: Helps refine backtesting for specific market conditions or to avoid known irregular data periods. How to Use 1. Add the Script to Your Chart In TradingView, open Indicators , search for “Multi-indicator Signal Builder”. Click to add it to your chart. 2. Configure Inputs Time Filter: Set a start and end date for trades. Alerts Messages: Input any JSON or text payload needed by your external service or bot. Entry Conditions: Enable and configure any indicators (e.g., RSI, MACD) for a confluence-based entry. Close Conditions: Enable exit indicators, along with optional SL (negative %) and TP (positive %) levels. 3. Set Up Alerts In TradingView, select “Create Alert” → Condition = “Any alert() function call” → choose this script. Entry Alert: Triggers on the script’s entry signal. Close Alert: Triggers on the script’s close signal (or if SL/TP is hit). Skyrexio Alert Bots: You can route these alerts via webhook to Skyrexio alert bots to automate order execution on major crypto exchanges (or any other supported broker). 4. Visual Reference A condition table at the bottom summarizes active signals. Statistics Label updates automatically as trades are closed, showing PnL stats and distribution metrics. Backtesting Guidelines Symbol/Timeframe: Works on multiple assets and timeframes; always do thorough testing. Realistic Costs: Adjust commissions and potential slippage to match typical exchange conditions. Risk Management: If using the built-in stop-loss/take-profit, set percentages that reflect your personal risk tolerance. Longer Test Horizons: Verify performance across diverse market cycles to gauge reliability. Example of statistic calculation Test Period: 2023-01-01 to 2025-12-31 Initial Capital: $1,000 Commission: 0.1%, Slippage ~5 ticks Trade Count: 468 (varies by strategy conditions) Win rate: 76% (varies by strategy conditions) Net Profit: +96.17% (varies by strategy conditions) Disclaimer This indicator is provided strictly for informational and educational purposes . It does not constitute financial or trading advice. Past performance never guarantees future results. Always test thoroughly in demo environments before using real capital. Enjoy exploring the Multi-Indicator Signal Builder! Experiment with different indicator combinations and adjust parameters to align with your trading preferences, whether you trade manually or link your alerts to external automation services. Happy trading and stay safe!
Pine Script™指标
由Skyrexio提供
3
30 CKF ALGO Trading Strategy [CKFAlgoSeries]This indicator is in the works and open for other to add to it. I am working on putting it into a strategy so it will be able to be put into a trading bot. It looks to be preforming well as is but the more data I test the better I will know that it works and how well on more coins. Feel free to leave your insight and any change in code to make this indicator an amazing strategy for us all to use on a trading bot. Stay Profitable, Savvy
Pine Script™指标
由Crypto_Kinfolk提供
Machine Learning SupertrendThe Machine Learning Supertrend is an advanced trend-following indicator that enhances the traditional Supertrend with Gaussian Process Regression (GPR) and kernel-based learning. Unlike conventional methods that rely purely on historical ATR values, this indicator integrates machine learning techniques to dynamically estimate volatility and forecast future price movements, resulting in a more adaptive and robust trend detection system. At the core of this indicator lies Gaussian Process Regression (GPR), which utilizes a Radial Basis Function (RBF) kernel to model price distributions and anticipate future trends. Instead of simply looking at past price action, it constructs a kernel matrix, enabling a probabilistic approach to price forecasting. This allows the indicator to not only detect current trends but also project potential trend reversals with greater accuracy. By applying machine learning to ATR estimation, the ML Supertrend dynamically adjusts its thresholds based on predicted values rather than a fixed multiplier. This makes the trend signals more responsive to market conditions, reducing false signals and minimizing whipsaws often seen with traditional Supertrend indicators. The upper and lower bands are no longer static but evolve based on the underlying price structure, improving the reliability of trend shifts. When the price crosses these adaptive levels, the indicator detects a trend change and plots it accordingly. Green signifies a bullish trend, while red indicates a bearish one. Alerts can also be triggered when the trend shifts, allowing traders to react quickly to potential reversals. What makes this approach powerful is its ability to adapt to different market conditions. Traditional ATR-based methods use fixed parameters that might not always be optimal, whereas this ML-driven Supertrend continuously refines its estimations based on real-time data. The result is a more intelligent, less lagging, and highly adaptive trend-following tool. This indicator is particularly useful for traders looking to enhance trend-following strategies with AI-driven insights. It reduces noise, improves signal reliability, and even offers a degree of trend forecasting, making it ideal for those who want a more advanced and dynamic alternative to standard Supertrend indicators. This indicator is provided for educational and informational purposes only. It does not constitute financial advice, and past performance is not indicative of future results. Trading involves risk, and users should conduct their own research and use proper risk management before making investment decisions.
Pine Script™指标
由Julien_Eche提供
1
VWAP Bands with ML [CryptoSea]VWAP Machine Learning Bands is an advanced indicator designed to enhance trading analysis by integrating VWAP with a machine learning-inspired adaptive smoothing approach. This tool helps traders identify trend-based support and resistance zones, predict potential price movements, and generate dynamic trade signals. Key Features Adaptive ML VWAP Calculation: Uses a dynamically adjusted SMA-based VWAP model with volatility sensitivity for improved trend analysis. Forecasting Mechanism: The 'Forecast' parameter shifts the ML output forward, providing predictive insights into potential price movements. Volatility-Based Band Adjustments: The 'Sigma' parameter fine-tunes the impact of volatility on ML smoothing, adapting to market conditions. Multi-Tier Standard Deviation Bands: Includes two levels of bands to define potential breakout or mean-reversion zones. Dynamic Trend-Based Colouring: The VWAP and ML lines change colour based on their relative positions, visually indicating bullish and bearish conditions. Custom Signal Detection Modes: Allows traders to choose between signals from Band 1, Band 2, or both, for more tailored trade setups. In the image below, you can see an example of the bands on higher timeframe showing good mean reversion signal opportunities, these tend to work better in ranging markets rather than strong trending ones. How It Works VWAP & ML Integration: The script computes VWAP and applies a machine learning-inspired adjustment using SMA smoothing and volatility-based adaptation. Forecasting Impact: The 'Forecast' setting shifts the ML output forward in time, allowing for anticipatory trend analysis. Volatility Scaling (Sigma): Adjusts the ML smoothing sensitivity based on market volatility, providing more responsive or stable trend lines. Trend Confirmation via Colouring: The VWAP line dynamically switches colour depending on whether it is above or below the ML output. Multi-Level Band Analysis: Two standard deviation-based bands provide a framework for identifying breakouts, trend reversals, or continuation patterns. In the example below, we can see some of the most reliable signals where we have mean reversion signals from the band whilst the price is also pulling back into the VWAP, these signals have the additional confluence which can give you a higher probabilty move. Alerts Bullish Signal Band 1: Alerts when the price crosses above the lower ML Band 1. Bearish Signal Band 1: Alerts when the price crosses below the upper ML Band 1. Bullish Signal Band 2: Alerts when the price crosses above the lower ML Band 2. Bearish Signal Band 2: Alerts when the price crosses below the upper ML Band 2. Filtered Bullish Signal: Alerts when a bullish signal is triggered based on the selected signal detection mode. Filtered Bearish Signal: Alerts when a bearish signal is triggered based on the selected signal detection mode. Application Trend & Momentum Analysis: Helps traders identify key market trends and potential momentum shifts. Dynamic Support & Resistance: Standard deviation bands serve as adaptive price zones for potential breakouts or reversals. Enhanced Trade Signal Confirmation: The integration of ML smoothing with VWAP provides clearer entry and exit signals. Customizable Risk Management: Allows users to adjust parameters for fine-tuned signal detection, aligning with their trading strategy. The VWAP Machine Learning Bands indicator offers traders an innovative tool to improve market entries, recognize potential reversals, and enhance trend analysis with intelligent data-driven signals.
Pine Script™指标
由CryptoSeaTV提供
1
Enhanced Volume Profile█ OVERVIEW The Enhanced Volume Profile (EVP) is an indicator designed to plot a volume profile on the chart based on either the visible chart range or a fixed lookback period. The script helps analyze the distribution of volume at different price levels over time, providing insights into areas of high trading activity and potential support/resistance zones. █ KEY FEATURES 1. Visible Chart Range vs. Fixed Lookback Depth Visible Chart Range - Default analysis mode - Calculates profile based on visible portion of the chart - Dynamically updates with chart view changes Fixed Lookback Depth - Optional alternative to visible range - Uses specified number of bars (10-3000) - Provides consistent analysis depth - Independent of chart view 2. Custom Resolution Auto-Resolution Mode Automatically selects timeframes based on chart's current timeframe: ≤ 1 minute: Uses 1-minute resolution ≤ 5 minutes: Uses 1-minute resolution ≤ 15 minutes: Uses 5-minute resolution ≤ 1 hour: Uses 5-minute resolution ≤ 4 hours: Uses 15-minute resolution ≤ 12 hours: Uses 15-minute resolution ≤ 1 day: Uses 1-hour resolution ≤ 3 days: Uses 2-hours resolution ≤ 1 week: Uses 4-hours resolution Custom Resolution Override Optional override of auto-resolution system Provides control over data granularity Must be lower than or equal to chart's timeframe Falls back to auto-resolution if validation fails 3. Volume Profile Resolution Adjustable number of points (10-400) Controls profile granularity Higher resolution provides more detail Balance between precision and performance 4. Point of Control (PoC) Identifies price level with highest traded volume Optional display with customizable appearance Adjustable line thickness (1-30) Configurable color 5. Value Area (VA) Shows price range of majority trading volume Adjustable coverage (5-95%), default is 68% Customizable boundary lines Configurable lines color and thickness (1-20) █ INPUT PARAMETERS Lookback Settings Use Visible Chart Range - Default: true - Calculates profile based on visible bars - Ideal for focused analysis Fixed Lookback Bars - Range: 10-3000 - Default: 200 - Used when visible range is disabled Resolution Settings Enable Custom Resolution - Default: false - Overrides auto-resolution Custom Resolution - Default: 1-minute - Changes automatically when "Enable Custom Resolution" is disabled Volume Profile Appearance Profile Resolution - Range: 10-400 - Default: 200 - Controls detail level Profile Width Scale - Range: 1-50 - Default: 15 - Adjusts profile width Right Offset - Range: 0-500 - Default: 20 - Controls spacing from price bars Profile Fill Color - Default: #5D606B (70% transparency) Point of Control Settings Show Point of Control - Default: true - Toggles PoC visibility PoC Line Thickness - Range: 1-30 - Default: 1 PoC Line Color - Default: Red Value Area Settings Show Value Area - Default: true - Toggles VA lines Value Area Coverage - Range: 5-95% - Default: 68% Value Area Line Color - Default: Blue Value Area Line Thickness - Range: 1-20 - Default: 1 █ TECHNICAL IMPLEMENTATION DETAILS Exceeding Bars Management The script dynamically adjusts the number of bars used in the volume profile calculation based on the selected timeframe and the maximum allowed bars (max_bars_back). If the total number of bars exceeds the predefined threshold (6000 bars), the script reduces the lookback period (lookback_bars) by trimming some of the historical data, ensuring the chart does not become overloaded with data. The adjustment is made based on the ratio of bars per candle (bars_per_candle), ensuring that the volume profile remains computationally efficient while maintaining its relevance. █ EXAMPLE USE CASES 1. Visible Range Mode For analyzing a recent trend and focusing on only the visible part of the chart, enabling the "Use Visible Chart Range" option calculates the profile based on the current view, without considering historical data outside the visible area. 2. Fixed Lookback Depth For analyzing a specific period in the past (e.g., the last 200 bars), disabling the visible range and setting a fixed lookback depth of 200 bars ensures the profile always considers the last 200 bars, regardless of the visible range. 3. Custom Resolution If there’s a need for greater control over the timeframe used for volume profile calculations (e.g., using a 5-minute resolution on a 15-minute chart), enabling custom resolution and setting the desired timeframe provides this control. HAPPY TRADING ✌️
Pine Script™指标
由kv4coins提供
3
Support & Resistance - Volume Based [Splirus]The Support & Resistance - Volume Based indicator is a sophisticated tool designed for TradingView to assist traders in identifying key support and resistance levels based on volume and price action dynamics. I have used the concept and code of @ChartPrime indicator to perform my own upgrade/Modification. URL: Here the main modification I have done from @ChartPrime indicator: Volume Strength Calculation: I have review the calculation of the Strength of the Volume to have less levels but strength ones. Extra Levels from Custom Timeframe: I have add the possibility to add extra levels from a Custom TimeFrame to have a better overview of significant level from Higher TimeFrame. So for example you can Set the Extra Levels to Dayly TimeFrame and switch from lower TimeFrame ( 1H / 2H / 4H / ... ) and continue to have on Screen Dayly Levels in Yellow Color Here’s a breakdown of its functionality: Core Features: 1. Dynamic Support and Resistance Zones: Automatically detects and plots support and resistance zones using swing highs and lows. Zones are calculated based on the Average True Range (ATR) to ensure dynamic adaptability to market volatility. 2. Volume Integration: Incorporates volume data to validate the strength of support and resistance zones. Highlights zones where volume activity indicates significant market interest. 3. Customizable Trading Modes: Offers three trading styles: Scalper, Intraday, and Swing, each with adjustable parameters to suit different timeframes and strategies. 4. Breakout and Retest Detection: Identifies breakouts above resistance or below support. Tracks retests of broken levels to confirm their validity as new support or resistance. 5. Multi-Timeframe Analysis: Includes an option to display custom support and resistance levels derived from higher timeframes for enhanced perspective. 6. Visual Enhancements: Configurable colors and labels for resistance and support zones. Displays volume labels and key level annotations for clarity. Settings Overview: Trading Settings: Adjust parameters like swing length and retest bar count to refine level detection. Visual Settings: Control the appearance of zones, including width, history retention, and color customization. Alert Conditions: Alerts for testing, breaking, and retesting support or resistance zones, ensuring traders never miss critical events. Usage Scenarios: Intraday Traders: Quickly identify intraday levels to base entries and exits. Swing Traders: Utilize historical zones to plan trades around significant support and resistance areas. Scalpers: Benefit from precise, short-term level detection tailored for high-frequency trading. This indicator is highly versatile, combining technical precision with visual clarity, making it an essential tool for traders aiming to optimize their decision-making in dynamic markets.
Pine Script™指标
由splirus提供
5
Supply and Demand Sniper [Wagmi-lab]Supply and Demand Sniper by Wagmi Lab Supply and Demand Sniper is a cutting-edge TradingView indicator designed to help traders identify key supply and demand zones with precision and clarity. Built with advanced algorithms and a futuristic visual design, this tool is perfect for traders who want to stay ahead of the market by spotting high-probability trading opportunities. --- Key Features: 1. Accurate Zone Detection: - Automatically identifies bullish demand zones(accumulation) and bearish supply zones(distribution) based on volume and price action. - Uses pivot points and volume analysis to ensure reliable zone detection. 2. Customizable Settings: - Adjust the length of volume pivots to fine-tune zone detection. (6 is a standard H4 timeframe tuning) - Choose between wick-based or close-based mitigation methods for zone invalidation. - Customize the style and width of the **average line** (solid, dashed, or dotted). 3. Real-Time Alerts: - Receive instant alerts when new zones are formed or invalidated. - Stay informed with notifications for **bullish demand zones**, **bearish supply zones**, and their respective mitigations. 4. User-Friendly Interface: - Easy-to-read zones with clear visual boundaries and labels. - Designed for both beginners and advanced traders. --- How It Works: The indicator analyzes price action and volume to identify areas where significant buying (demand) or selling (supply) has occurred. These zones act as potential reversal points, providing traders with actionable insights for entering or exiting trades. - Demand Zones (Green): Areas where buying pressure is likely to push prices higher. - Supply Zones (Red): Areas where selling pressure is likely to push prices lower. --- Perfect For: - Day Traders: Identify intraday supply and demand levels for quick, high-probability trades. - Swing Traders: Spot key zones for longer-term price reversals. - All Markets: Works seamlessly on forex, stocks, crypto, and commodities. --- Disclaimer: This indicator is for educational and informational purposes only. Past performance is not indicative of future results. Always trade responsibly and use proper risk management. ---
Pine Script™指标
由WagmiLab提供
1
Johnny's Machine Learning Moving Average (MLMA) w/ Trend Alerts📖 Overview Johnny's Machine Learning Moving Average (MLMA) w/ Trend Alerts is a powerful adaptive moving average indicator designed to capture market trends dynamically. Unlike traditional moving averages (e.g., SMA, EMA, WMA), this indicator incorporates volatility-based trend detection, Bollinger Bands, ADX, and RSI, offering a comprehensive view of market conditions. The MLMA is "machine learning-inspired" because it adapts dynamically to market conditions using ATR-based windowing and integrates multiple trend strength indicators (ADX, RSI, and volatility bands) to provide an intelligent moving average calculation that learns from recent price action rather than being static. 🛠 How It Works 1️⃣ Adaptive Moving Average Selection The MLMA automatically selects one of four different moving averages: 📊 EMA (Exponential Moving Average) – Reacts quickly to price changes. 🔵 HMA (Hull Moving Average) – Smooth and fast, reducing lag. 🟡 WMA (Weighted Moving Average) – Gives recent prices more importance. 🔴 VWAP (Volume Weighted Average Price) – Accounts for volume impact. The user can select which moving average type to use, making the indicator customizable based on their strategy. 2️⃣ Dynamic Trend Detection ATR-Based Adaptive Window 📏 The Average True Range (ATR) determines the window size dynamically. When volatility is high, the moving average window expands, making the MLMA more stable. When volatility is low, the window shrinks, making the MLMA more responsive. Trend Strength Filters 📊 ADX (Average Directional Index) > 25 → Indicates a strong trend. RSI (Relative Strength Index) > 70 or < 30 → Identifies overbought/oversold conditions. Price Position Relative to Upper/Lower Bands → Determines bullish vs. bearish momentum. 3️⃣ Volatility Bands & Dynamic Support/Resistance Bollinger Bands (BB) 📉 Uses standard deviation-based bands around the MLMA to detect overbought and oversold zones. Upper Band = Resistance, Lower Band = Support. Helps traders identify breakout potential. Adaptive Trend Bands 🔵🔴 The MLMA has built-in trend envelopes. When price breaks the upper band, bullish momentum is confirmed. When price breaks the lower band, bearish momentum is confirmed. 4️⃣ Visual Enhancements Dynamic Gradient Fills 🌈 The trend strength (ADX-based) determines the gradient intensity. Stronger trends = More vivid colors. Weaker trends = Lighter colors. Trend Reversal Arrows 🔄 🔼 Green Up Arrow: Bullish reversal signal. 🔽 Red Down Arrow: Bearish reversal signal. Trend Table Overlay 🖥 Displays ADX, RSI, and Trend State dynamically on the chart. 📢 Trading Signals & How to Use It 1️⃣ Bullish Signals 📈 ✅ Conditions for a Long (Buy) Trade: The MLMA crosses above the lower band. The ADX is above 25 (confirming trend strength). RSI is above 55, indicating positive momentum. Green trend reversal arrow appears (confirmation of a bullish reversal). 🔹 How to Trade It: Enter a long trade when the MLMA turns bullish. Set stop-loss below the lower Bollinger Band. Target previous resistance levels or use the upper band as take-profit. 2️⃣ Bearish Signals 📉 ✅ Conditions for a Short (Sell) Trade: The MLMA crosses below the upper band. The ADX is above 25 (confirming trend strength). RSI is below 45, indicating bearish pressure. Red trend reversal arrow appears (confirmation of a bearish reversal). 🔹 How to Trade It: Enter a short trade when the MLMA turns bearish. Set stop-loss above the upper Bollinger Band. Target the lower band as take-profit. 💡 What Makes This a Machine Learning Moving Average? 📍 1️⃣ Adaptive & Self-Tuning Unlike static moving averages that rely on fixed parameters, this MLMA automatically adjusts its sensitivity to market conditions using: ATR-based dynamic windowing 📏 (Expands/contracts based on volatility). Adaptive smoothing using EMA, HMA, WMA, or VWAP 📊. Multi-indicator confirmation (ADX, RSI, Volatility Bands) 🏆. 📍 2️⃣ Intelligent Trend Confirmation The MLMA "learns" from recent price movements instead of blindly following a fixed-length average. It incorporates ADX & RSI trend filtering to reduce noise & false signals. 📍 3️⃣ Dynamic Color-Coding for Trend Strength Strong trends trigger more vivid colors, mimicking confidence levels in machine learning models. Weaker trends appear faded, suggesting uncertainty. 🎯 Why Use the MLMA? ✅ Pros ✔ Combines multiple trend indicators (MA, ADX, RSI, BB). ✔ Automatically adjusts to market conditions. ✔ Filters out weak trends, making it more reliable. ✔ Visually intuitive (gradient colors & reversal arrows). ✔ Works across all timeframes and assets. ⚠️ Cons ❌ Not a standalone strategy → Best used with volume confirmation or candlestick analysis. ❌ Can lag slightly in fast-moving markets (due to smoothing).
Pine Script™指标
由JonathanLeyva提供
Johnny's Volatility-Driven Trend Identifier w/ Reversal SignalsJohnny's Volatility-Driven Trend Identifier w/ Reversal Signals is designed to identify high-probability trend shifts and reversals by incorporating volatility, momentum, and impulse-based filtering. It is specifically built for traders who want to capture strong trend movements while minimizing false signals caused by low volatility noise. By leveraging Rate of Change (ROC), Relative Strength Index (RSI), and Average True Range (ATR)-based volatility detection, the indicator dynamically adapts to market conditions. It highlights breakout trends, reversals, and early signs of momentum shifts using strategically placed labels and color-coded trend visualization. Inspiration taken from Top G indicator . What This Indicator Does The Volatility-Driven Trend Identifier works by: Measuring Market Extremes & Momentum: Uses ROC normalization with standard deviation to identify impulse moves in price action. Implements RSI filtering to determine overbought/oversold conditions that validate trend strength. Utilizes ATR-based volatility tracking to ensure signals only appear when meaningful market movements are occurring. Identifying Key Trend Events: Power Peak (🔥): Marks a confirmed strong downtrend, ideal for shorting opportunities. Surge (🚀): Indicates a confirmed strong uptrend, signaling a potential long entry. Soft Surge (↗): Highlights a mild bullish reentry or early uptrend formation. Soft Peak (↘): Shows a mild bearish reentry or early downtrend formation. Providing Adaptive Filtering for Reliable Signals: Filters out weak trends with a volatility check, ensuring signals appear only in strong market conditions. Implements multi-level confirmation by combining trend strength metrics, preventing false breakouts. Uses gradient-based visualization to color-code market sentiment for quick interpretation. What This Indicator Signals Breakouts & Impulse Moves: 🚀🔥 The Surge (🚀) and Power Peak (🔥) labels indicate confirmed momentum breakouts, where the trend has been validated by a combination of ROC impulse, RSI confirmation, and ATR volatility filtering. These signals suggest that the market is entering a strong trend, and traders can align their entries accordingly. Early Trend Formation & Reentries: ↗ ↘ The Soft Surge (↗) and Soft Peak (↘) labels indicate areas where a trend might be forming, but is not yet fully confirmed. These signals help traders anticipate potential entries before the trend gains full strength. Volatility-Adaptive Trend Filtering: 📊 Since the indicator only activates in volatile conditions, it avoids the pitfalls of low-range choppy markets where false signals frequently occur. ATR-driven adaptive windowing allows the indicator to dynamically adjust its sensitivity based on real-time volatility conditions. How to Use This Indicator 1. Identifying High-Probability Entries Bullish Entries (Long Trades) Look for 🚀 Surge signals in an uptrend. Confirm with RSI (should be above 50 for momentum). Ensure volatility is increasing to validate the breakout. Use ↗ Soft Surge signals for early entries before the trend fully confirms. Bearish Entries (Short Trades) Look for 🔥 Power Peak signals in a downtrend. RSI should be below 50, indicating downward momentum. Volatility should be rising, ensuring market momentum is strong. Use ↘ Soft Peak signals for early entries before a full bearish confirmation. 2. Avoiding False Signals Ignore signals when the market is ranging (low ATR). Check RSI and ROC alignment to ensure trend confirmation. Use additional confluences (e.g., price action, support/resistance levels, moving averages) for enhanced accuracy. 3. Trend Confirmation & Filtering The stronger the trend, the higher the likelihood that Surge (🚀) and Power Peak (🔥) signals will continue in their direction. Soft Surge (↗) and Soft Peak (↘) act as early warning signals before major breakouts occur. What Makes This a Machine Learning-Inspired Moving Average? While this indicator is not a direct implementation of machine learning (as Pine Script lacks AI/ML capabilities), it mimics machine learning principles by adapting dynamically to market conditions using the following techniques: Adaptive Trend Selection: It does not rely on fixed moving averages but instead adapts dynamically based on volatility expansion and momentum detection. ATR-based filtering adjusts the indicator’s sensitivity to real-time conditions. Multi-Factor Confirmation (Feature Engineering Equivalent in ML): Combines ROC, RSI, and ATR in a structured way, similar to how ML models use multiple inputs to filter and classify data. Implements conditional trend recognition, ensuring that only valid signals pass through the filter. Noise Reduction with Data Smoothing: The algorithm avoids false signals by incorporating trend intensity thresholds, much like how ML models remove outliers to refine predictions. Adaptive filtering ensures that low-volatility environments do not produce misleading signals. Why Use This Indicator? ✔ Reduces False Signals: Multi-factor validation ensures only high-confidence signals are triggered. ✔ Works in All Market Conditions: Volatility-adaptive nature allows the indicator to perform well in both trending and ranging markets. ✔ Great for Swing & Intraday Trading: It helps spot momentum shifts early and allows traders to catch major market moves before they fully develop. ✔ Visually Intuitive: Color-coded trends and clear signal markers make it easy to interpret.
Pine Script™指标
由JonathanLeyva提供
1
Trend Signals with TP & SL [DeeEyeCrypto]The script you provided is a Pine Script strategy for TradingView designed to generate trend signals with take profit (TP) and stop loss (SL) levels. It identifies buy and sell signals based on trend continuation and visualizes these signals on the TradingView chart. Here's a detailed breakdown of its components and functionality: Inputs and Parameters Source (src): The input source for price data, typically set to the average of high and low prices (hl2). Sensitivity (Multiplier): A float input to adjust the sensitivity of trend detection, ranging from 0.5 to 5. ATR Length (atrPeriods): The length for calculating the Average True Range (ATR), with a default value of 10. ATR Calculation Methods (atrCalcMethod): A string input to choose between two ATR calculation methods. Cloud Moving Average Length (cloud_val): The length for the moving average used in the cloud visualization, with a default value of 10. Stop Loss Percent (stopLossVal): A float input for defining the stop loss percentage, where 0 disables the stop loss. Show Buy/Sell Signals (showBuySellSignals): A boolean input to toggle the display of buy and sell signals. Show Cloud MA (showMovingAverageCloud): A boolean input to toggle the display of the moving average cloud. Utility Functions percent: A function to calculate the percentage of a numerator over a denominator. Momentum Calculations Hull Moving Averages (HMA): Calculates two HMAs based on the open and close prices. Change Momentum (CMO): Computes the change momentum for trend detection. Pivot Calculations: Identifies the highest and lowest pivots over a specified period. RSI Calculation Relative Strength Index (RSI): Computes the RSI over a 9-period length. Support and Resistance Conditions sup: Identifies support conditions based on the RSI and CMO. res: Identifies resistance conditions based on the RSI and CMO. ATR Calculations atr: Computes the ATR using either Method 1 (default ta.atr) or Method 2 (ta.sma). Trend Detection up and dn: Calculates upper and lower bounds using the ATR and sensitivity multiplier. trend: Determines the current trend (1 for uptrend, -1 for downtrend). buySignal and sellSignal: Identifies buy and sell signals based on trend changes. Position Management pos: Manages the current position (1 for long, -1 for short). entryOfLongPosition and entryOfShortPosition: Stores the entry prices for long and short positions. stopLossForLong and stopLossForShort: Calculates stop loss levels for long and short positions. takeProfitForLong1R, takeProfitForShort1R, etc.: Calculates various take profit levels (1R, 2R, 3R) for long and short positions. long_sl and short_sl: Checks if stop loss conditions are met for long and short positions. takeProfitForLongFinal and takeProfitForShortFinal: Checks if final take profit conditions are met for long and short positions. Plotting and Visualization plot_high and plot_low: Plots the moving average cloud based on the chosen length. plotshape: Plots buy and sell signals on the chart. fill: Fills the cloud area based on MACD conditions to visualize trends. Alerts alertcondition: Sets up alert conditions for trend direction changes. alertLongText and alertShortText: Constructs alert messages for buy and sell signals. alert: Sends alerts based on long and short conditions. Summary This script provides a comprehensive strategy for identifying and visualizing trend continuation signals on TradingView. It includes features for setting take profit and stop loss levels, plotting signals and trends, and sending alerts for trade opportunities. The script is highly customizable with various input parameters, allowing users to adjust sensitivity, ATR calculation methods, and visualization options to suit their trading preferences.
Pine Script™指标
由DeepEye_crypto提供
Optimized Adaptive SuperTrend [AlgoAlpha]🔹 Name: Optimized Adaptive SuperTrend 🔹 Category: Trend-Following Indicator 🔹 Description: The Optimized Adaptive SuperTrend is an advanced trend-following indicator that dynamically adjusts to market volatility using K-Means clustering and an adaptive ATR-based SuperTrend algorithm. Key Features: ✅ Adaptive SuperTrend – Adjusts dynamically to different volatility levels ✅ Machine Learning-Based ATR Filtering – Reduces false signals and noise ✅ Smoothed Trend Detection – Uses an EMA-smoothed ATR for improved accuracy ✅ Clear Bullish & Bearish Signals – Provides easy-to-read trend shifts ✅ Volatility Alerts – Identifies high, medium, and low volatility zones This indicator is ideal for trend traders looking for high-accuracy signals while filtering out market noise. 💡 Best Used On: All timeframes (especially 1H, 4H, and Daily).
Pine Script™指标
由xpressive提供