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Bar Count & EMABar Count & EMA Indicator A clean and lightweight indicator designed for intraday price action traders. Features: 1. Bar Count Displays bar numbers only on 3-minute and 5-minute timeframes Works during Regular Trading Hours (RTH) only Shows bar 1 and multiples of 3 (3, 6, 9, 12, 15...) Color-coded for key bars: Bar 18 & 48 (Red), Bar 6 (Light Green), Multiples of 12 (Sky Blue), Others (Gray) 2. EMA 20 Simple 20-period Exponential Moving Average Customizable source, length, offset, and color Why these specific timeframes? 5-Minute Chart (US Markets): Bar 6, 12, 18, 24... represent 30-min, 1-hour, 1.5-hour intervals Bar 18 and 48 often mark significant intraday turning points Best for: ES, NQ, SPY, QQQ 3-Minute Chart (China A-Share Markets): Bar 10, 20, 30... represent 30-min, 1-hour, 1.5-hour intervals Designed for CSI 1000 Index Futures (IM) and other China futures Helps track the 4-hour trading session rhythm (9:30-11:30, 13:00-15:00) Why Bar Count Matters: Tracking bar numbers helps traders identify market rhythm, timing cycles, and potential reversal zones throughout the trading session.
Pine Script®指標
由JimmC98提供
Bradley Industries IndicatorThe Bradley Industries Indicator is a confluence-based trading system designed to identify early trend impulses while filtering out late or low-probability entries. It combines four independent indicators, each measuring a different market dimension, and only generates a primary signal when all four align on the same bar. The philosophy of the system is simple: Enter only when structure, momentum, volatility, and directional flow agree at the start of a move.
Pine Script®指標
由bradsolano提供
Order Block MTF - EugenioTheDog (based on LuxAlgo) - 2 TFDescription: Order Block MTF - EugenioTheDog (based on LuxAlgo) - 2 TF This indicator detects Bullish and Bearish Order Blocks and allows you to display higher-timeframe (MTF) zones on any chart. Core detection logic is based on the original LuxAlgo Order Block Detector, with MTF (2 timeframes), proximity alerts, and visual refinements added by EugenioTheDog. Main Features Automatic Bullish / Bearish Order Block detection MTF visualization (e.g., H1 and H4 on M5 / M15 charts) Two independent configurable timeframes (TF1 and TF2) Average line display Alerts for: New Order Block formation (TF1/TF2) Price approaching an Order Block (before touch) Recommended Use Designed for context reading, liquidity mapping, supply/demand, and confluence with SMC / ICT / Price Action. Important Notice Educational purposes only. Not financial advice. Always use proper risk management. License This script is released under CC BY-NC-SA 4.0 Base code: © LuxAlgo MTF adaptation, alerts and extensions: © EugenioTheDog
Pine Script®指標
由williaamgama提供
10x EMA Multi Timeframe (On/Off)10x EMA Multi-Timeframe Indicator The 10x EMA Multi-Timeframe Indicator displays up to ten configurable Exponential Moving Averages (EMAs) on your chart. Each EMA can be individually enabled or disabled, fully customized in length, and calculated from a user-defined timeframe, independent of the chart timeframe. This indicator is designed to help traders identify short-, mid-, and long-term trends, dynamic support and resistance levels, and overall market structure with maximum flexibility. 🔧 Features Up to 10 independent EMAs Individual on/off toggle for each EMA Custom EMA length for every line Multi-Timeframe (MTF) support Works on any market and timeframe Clean overlay directly on the price chart 📈 How Traders Use It Identify trend direction (price above/below EMAs) Combine fast and slow EMAs for trend confirmation Use EMAs as dynamic support and resistance Apply higher-timeframe EMAs on lower-timeframe charts Build EMA cross and trend-following strategies
Pine Script®指標
由winni324提供
TSLA Cycle Timing - 122-Day Reversal Map (Adaptive Framework)This indicator is a timing map built specifically for Tesla (TSLA) on the Daily chart. It plots a repeating set of vertical, color-coded timing markers inside a 122-bar cycle (commonly treated as ~122 trading days on the Daily timeframe). These markers highlight reversal “zones”—areas where TSLA has historically shown a tendency to pivot from high-to-low and low-to-high within the cycle. The script includes: 23 TSLA-derived set points (Points 1–23): the core timing map used to mark the most repeatable reversal areas. Two optional “Inversion Points” (INV A / INV B): manual markers you can enable when TSLA’s high/low sequence appears to flip due to a structural deviation. One additional optional marker (OPT C) for user customization. This is not an auto-buy/sell system. It is a cycle-structure framework designed to help you anticipate when a reversal is more likely to occur, so you can combine it with your own confirmation tools (price action, trend context, support/resistance, volume, etc.). Definitions (How this script interprets highs/lows) In the context of cycle mapping: A High Point is the highest price reached between two neighboring high pivots. A Low Point is the lowest price reached between two neighboring low pivots. The vertical lines are timing markers, not “guaranteed pivot candles.” Price may top/bottom slightly before or after a line. That’s why the script includes an optional ± window (in bars) to visualize a small tolerance zone around each marker. How it works (Conceptually) The script defines a repeating cycle length (default 122 bars). Inside each cycle, each point has an offset measured in bars from the cycle start. For every cycle instance (past, current, and optional future cycles), the script draws: a vertical dotted line at each enabled point offset optional ± window bands around the line optional labels (numbers for set points and “INV” labels for inversion points) Because this is a Tesla-specific map, the default offsets for Points 1–23 are preconfigured based on TSLA’s observed structure, and the remaining optional points are user-controlled. How to Use (Important) 1) Use the Daily chart first This model is designed around TSLA’s Daily cycle behavior. Start with: Symbol: TSLA Timeframe: 1D If you use other timeframes, the cycle “tempo” can change and may require different offsets. 2) Identify the cycle start (anchor) Cycle mapping depends on where the current cycle is anchored. Use “Bars Back to Current Cycle Start” to shift the cycle start so that the script’s point sequence aligns with your most recent known cycle beginning. Once aligned, the points should repeat near each 122-bar interval. 3) Read the vertical markers as reversal zones The colored vertical lines represent areas where reversals have historically occurred, not a promise that price must reverse exactly on the line. A practical approach: Use the marker as a “heads-up” zone Wait for confirmation (trend break, candle structure, momentum shift, key level reaction, etc.) 4) Understand “set points” vs “Inversion Points” Set Points (1–23) These are the primary TSLA reversal zones that tend to recur within the 122-bar structure. Specific numbered points often appear near the same relative position inside each cycle. Inversion Points (INV A / INV B) Occasionally, TSLA’s cycle behavior can flip—meaning the expected high-to-low (or low-to-high) progression temporarily swaps order. This is what I refer to as an inversion. When you see a cycle behaving “backwards” relative to the usual sequence: Enable INV A and/or INV B Place their offsets at the bar locations where the flip becomes obvious Use these markers as manual annotations so your cycle notes stay consistent even when TSLA deviates from its typical rhythm These inversion markers do not force the script to predict a flip—they allow you to document it cleanly. 5) Use the ± Window Bands to manage real-world variance Markets don’t pivot on perfect timestamps. If a reversal tends to happen “around” a point: Enable ± Window Bands Set Window ± Bars (commonly 1–3 bars on 1D) This gives a realistic visual tolerance zone around each timing marker. Settings Guide (Practical) Cycle Length (bars): 122 (TSLA Daily baseline) Lookback Bars: increase to study more history, decrease for performance Future Cycles: use sparingly; future markers are guidance zones, not guarantees Past Cycles: Lines Only: recommended ON for stable performance Labels at Top: helps keep the chart clean and readable Final Notes / Limitations This is a historical timing framework designed to map TSLA’s repeating reversal structure. It helps estimate when reversal pressure tends to appear, but it does not replace risk management or confirmation. Cycle behavior can stretch, compress, or invert during unusual volatility regimes—hence the inclusion of optional inversion markers.
Pine Script®指標
由Dinjin提供
StO Price Action - Impulse CandleShort Summary - Highlights impulse candles based on relative momentum - Compares current or previous closed candles against prior price movement - Uses a configurable momentum factor to filter significant impulses - Designed to make strong directional candles visually stand out Full Description Overview - Identifies impulse candles with strong momentum - Focuses on candle-to-candle expansion rather than trend or structure - Intended to visually emphasize moments of acceleration in price - Works as a complementary tool to price action and volatility analysis Impulse Candle Logic - Impulse candles are detected by comparing the current candle range to previous candles - A candle is considered an impulse when its range exceeds prior movement by a defined factor - The comparison basis can be (current forming Candle, previous fully closed Candle) Momentum Factor - The momentum factor defines how much stronger a candle must be compared to earlier candles - Higher values filter out smaller moves and highlight only extreme impulses - Lower values allow more frequent impulse detection - Helps adapt the indicator to different instruments and volatility regimes Range Calculation - Two range calculation modes are available: - Open / Close (Body range): - Measures body-based momentum - Focuses on directional conviction - High / Low (Candle range): - Measures full volatility expansion - Includes wicks and intrabar extremes Visualization - Impulse candles are highlighted using a customizable bar color - Designed to remain minimal and unobtrusive Alerts - Optional alert can be enabled after detected impulse candles - Useful for monitoring momentum shifts without constant screen time Usage - Suitable for breakout detection and momentum confirmation - Helps identify volatility expansion phases - Can be used for entry timing or trade management Notes - This indicator does not predict direction on its own - Impulse candles may occur in both trending and ranging markets - Best used in combination with structure, levels or higher-timeframe context - Momentum thresholds should be adjusted per market and timeframe
Pine Script®指標
由sto_svc提供
MACD 12-26-9 with Slope, Convergence & Divergence1. Core Indicator: MACD (12-26-9) The script uses the standard MACD: Fast EMA: 12 Slow EMA: 26 Signal EMA: 9 It plots: MACD Line → short-term vs long-term momentum Signal Line → smoothed MACD Histogram → distance between MACD and Signal 2. Histogram Slope (Momentum Acceleration) What it is The slope measures how fast the MACD histogram is changing. histSlope = hist - hist What it tells you Positive slope → momentum accelerating Negative slope → momentum slowing Slope flip → early momentum shift (often before MACD cross) Why it matters MACD crosses are lagging. Histogram slope gives early warning of momentum changes. 3. Convergence & Divergence (MACD vs Signal) How it’s calculated The script measures the distance between the MACD and Signal lines: distance = abs(macdLine - signalLine) Convergence → distance is shrinking Divergence → distance is expanding Interpretation Convergence = compression / energy building Divergence = expansion / trend strength or exhaustion This is not price divergence, but internal momentum structure. 4. MACD Perimeter Threshold (Momentum Filter) What it is Horizontal bands above and below zero that define a “noise zone”. Inside perimeter → weak / choppy momentum Outside perimeter → strong momentum Why it’s useful Filters low-quality MACD crosses Identifies compression → expansion Helps spot trend exhaustion when momentum fades outside the band 5. Visual Encoding (What you see) Histogram colors Bright green / red → strong acceleration Dull green / maroon → weakening momentum Gray → indecision MACD line color Yellow → converging (compression) Orange → diverging (expansion) Blue → neutral Markers Up triangle → bullish convergence Down triangle → bearish divergence 6. How traders use this indicator Trend continuation MACD above zero Histogram positive Slope rising Divergence expanding ➡ Strong trend continuation Pullback entries Trend intact Histogram pulls back toward zero Slope turns up again ➡ High-probability re-entry Breakout anticipation Long convergence Histogram flattening Sudden slope expansion ➡ Breakout likely Exhaustion warning Large divergence Histogram slope weakens Momentum fails to expand ➡ Trend may stall or reverse 7. Best use cases Works best as a momentum confirmation tool Combine with: Market structure Support / resistance Moving averages Volume or Force Index
Pine Script®指標
由mattyjoy6787提供
Week High/LowThis indicator plots the Previous Week High and Low as two horizontal dashed lines. It is designed to appear only on the Daily (D) and Weekly (W) timeframes, ensuring a clean higher-timeframe context without lower-timeframe noise. The levels are calculated from the completed weekly candle and automatically update at the start of each new week. These levels serve as weekly liquidity references, commonly used to assess premium/discount zones, potential stop-run areas, and higher-timeframe market reactions.
Pine Script®指標
由bacle8899提供
Neeson bitcoin Dynamic ATR Trailing SystemNeeson bitcoin Dynamic ATR Trailing System: A Comprehensive Guide to Volatility-Adaptive Trend Following Introduction The Dynamic ATR Trailing System (DATR-TS) represents a sophisticated approach to trend following that transcends conventional moving average or breakout-based methodologies. Unlike standard trend-following systems that rely on price pattern recognition or fixed parameter oscillators, this system operates on the principle of volatility-adjusted position management—a nuanced approach that dynamically adapts to changing market conditions rather than imposing rigid rules on market behavior. Originality and Innovation Distinct Methodological Approach What sets DATR-TS apart from hundreds of existing trend-following systems is its dual-layered conditional execution framework. While most trend-following systems fall into one of three broad categories—moving average crossovers, channel breakouts, or momentum oscillators—this system belongs to the more specialized category of volatility-normalized trailing stop systems. Key Original Contributions: Volatility-Threshold Signal Filtering: Most trend systems generate signals continuously, leading to overtrading during low-volatility periods. DATR-TS implements a proprietary volatility filter that requires minimum market movement before generating signals, effectively separating high-probatility trend opportunities from market noise. Self-Contained Position State Management: Unlike traditional systems that require external position tracking, DATR-TS maintains an internal position state that prevents contradictory signals and creates a closed-loop decision framework. Dynamic Risk Parameter Adjustment: The system doesn't use fixed percentage stops or rigid ATR multiples. Instead, it implements a responsive adjustment mechanism that widens stops during high volatility and tightens them during low volatility, creating an optimal balance between risk protection and opportunity capture. Trader-Centric Visualization Philosophy: Beyond mere signal generation, the system provides a comprehensive visual feedback system designed to align with human cognitive patterns, reducing emotional decision-making through consistent color coding and information hierarchy. Technical Implementation and Functionality Core Operational Mechanism DATR-TS implements a volatility-adjusted trend persistence model that operates on the principle that trending markets exhibit characteristic volatility signatures. The system specifically targets medium-term directional movements (typically lasting 5-20 days) rather than short-term scalping opportunities or long-term position trades. The Four-Pillar Architecture: Volatility Measurement and Normalization Calculates Average True Range (ATR) over a user-defined period Converts absolute volatility to percentage terms relative to price Compares current volatility against user-defined thresholds to filter suboptimal conditions Dynamic Trailing Stop Algorithm Establishes an initial stop distance based on current volatility Implements a four-state adjustment mechanism that responds to price action Maintains stop position during trend continuation while allowing for trend reversal detection Conditional Signal Generation Generates entry signals only when price action meets both directional and volatility criteria Produces exit signals based on trailing stop penetration Incorporates position state awareness to prevent conflicting signals Comprehensive Feedback System Provides multi-layer visual information including dynamic stop lines, signal labels, and color-coded price action Displays real-time metrics through an integrated dashboard Offers configurable visualization options for different trading styles Specific Trend-Following Methodology DATR-TS employs a volatility-normalized trailing stop breakout approach, which differs significantly from common trend identification methods: Not a moving average crossover system (like MACD or traditional MA crosses) Not a channel breakout system (like Bollinger Band or Donchian Channel breaks) Not a momentum oscillator system (like RSI or Stochastic trend following) Not a price pattern recognition system (like head-and-shoulders or triangle breaks) Instead, it belongs to the more specialized category of volatility-adjusted stop-and-reverse systems that: Wait for market volatility to reach actionable levels Establish positions when price confirms directional bias through stop penetration Manage risk dynamically based on evolving market conditions Exit positions when the trend exhausts itself through stop violation Practical Application and Usage Market Environment Optimization Ideal Conditions: Trending markets with sustained directional movement Medium volatility environments (neither excessively calm nor chaotic) Timeframes: 4-hour to daily charts for optimal signal quality Instruments: Forex majors, commodity futures, equity indices Suboptimal Conditions: Ranging or consolidating markets Extreme volatility events or news-driven spikes Very short timeframes (below 1-hour) Illiquid or highly manipulated instruments Parameter Configuration Strategy Core Parameter Philosophy: ATR Length (Default: 21 periods) Controls the system's memory of volatility Shorter lengths increase sensitivity but may cause overtrading Longer lengths provide smoother signals but may lag during volatility shifts ATR Multiplier (Default: 6.3x) Determines the initial risk buffer Lower values (4-5x) create tighter stops for conservative trading Higher values (6-8x) allow for larger trends but increase drawdown risk Volatility Threshold (Default: 1.5%) Filters out low-quality trading environments Adjust based on market characteristics (higher for volatile markets) Acts as a quality control mechanism for signals Trading Workflow and Execution Signal Interpretation and Action: Entry Protocol: Wait for BLUE "BUY" signal label appearance Confirm volatility conditions meet threshold requirements Enter long position at market or next reasonable opportunity Set initial stop at displayed dynamic stop level Position Management: Monitor dynamic stop line for position adjustment Allow profits to run while stop protects capital No manual adjustment required—system manages stop automatically Exit Protocol: Exit on ORANGE "SELL" signal label appearance Alternative exit if price hits dynamic stop level System will generate new entry signal if conditions warrant re-entry Risk Management Integration: Position sizing based on distance to dynamic stop Volatility filter prevents trades during unfavorable conditions Clear visual feedback on current risk exposure Built-in protection against overtrading Philosophical Foundation and Market Theory Core Trading Principles DATR-TS embodies several foundational market principles: Volatility Defines Opportunity Markets don't trend continuously—they alternate between trending and ranging phases Volatility provides the energy for trends to develop and sustain By measuring and filtering volatility, we can focus on high-probability trend phases Risk Should Be Proportional Fixed percentage stops ignore market context Dynamic stops that adjust with volatility provide more appropriate risk management Position sizing should reflect current market conditions, not arbitrary rules Simplicity Through Sophistication Complex systems often fail in real-world conditions A simple core algorithm with intelligent filtering outperforms complex multi-indicator approaches Clear visual feedback reduces cognitive load and emotional interference Trends Persist Until Proven Otherwise Markets exhibit momentum characteristics Once a trend establishes itself, it tends to continue The trailing stop methodology captures this persistence while providing exit mechanisms Mathematical and Statistical Foundation The system operates on several statistical market observations: Volatility Clustering Phenomenon High volatility periods tend to follow high volatility periods Low volatility periods tend to follow low volatility periods By filtering for adequate volatility, we increase the probability of capturing meaningful trends Trend Magnitude Distribution Most trends are small to medium in magnitude Very large trends are rare but account for disproportionate returns The dynamic stop methodology allows capture of varying trend magnitudes Autocorrelation in Price Movements Price movements exhibit short-term positive autocorrelation during trends This persistence allows trailing stops to capture continued movement The system leverages this characteristic without requiring explicit autocorrelation calculation Performance Characteristics and Expectations Typical System Behavior Signal Frequency: Low to moderate signal generation (prevents overtrading) Signals concentrated during trending market phases Extended periods without signals during ranging conditions Risk-Reward Profile: Win rate typically 40-60% in trending conditions Average win larger than average loss Risk-reward ratios of 1:2 to 1:3 achievable Drawdown Patterns: Controlled through volatility adjustment Larger drawdowns during extended ranging periods Recovery typically follows when trending conditions resume Comparison with Alternative Approaches Versus Moving Average Systems: Less prone to whipsaws during ranging markets Better adaptation to changing volatility conditions Clearer exit signals through stop levels Versus Channel Breakout Systems: More responsive to emerging trends Lower false breakout probability Dynamic risk adjustment rather than fixed parameters Versus Momentum Oscillator Systems: Better trend persistence capture Less susceptible to overbought/oversold false signals Clearer position management rules Educational Value and Skill Development Learning Opportunities DATR-TS serves as more than just a trading tool—it provides educational value through: Market Condition Awareness Teaches traders to distinguish between trending and ranging markets Develops understanding of volatility's role in trading opportunities Encourages patience and selectivity in trade execution Risk Management Discipline Demonstrates dynamic position sizing principles Illustrates the importance of adaptive stops Reinforces the concept of risk-adjusted returns Psychological Skill Development Reduces emotional trading through clear rules Builds patience through conditional execution Develops discipline through systematic approach Customization and Evolution The system provides a foundation for further development: Beginner Level: Use default parameters for initial learning Focus on signal recognition and execution discipline Develop understanding of system behavior across market conditions Intermediate Level: Adjust parameters based on specific market characteristics Combine with complementary analysis techniques Develop personal variations based on trading style Advanced Level: Integrate with portfolio management systems Develop automated execution frameworks Create derivative systems for specialized applications Conclusion: The Modern Trend-Following Paradigm The Dynamic ATR Trailing System represents a significant evolution in trend-following methodology. By moving beyond simple price pattern recognition or fixed parameter oscillators, it embraces the complex reality of financial markets where volatility, trend persistence, and risk management interact dynamically. This system doesn't claim to predict market direction or identify tops and bottoms. Instead, it provides a systematic framework for participating in trends when they emerge, managing risk appropriately as conditions change, and preserving capital during unfavorable environments. For traders seeking a methodology that combines mathematical rigor with practical execution, adapts to changing market conditions rather than fighting against them, and provides clear, actionable information without cognitive overload, DATR-TS offers a sophisticated yet accessible approach to modern trend following. The true value lies not in any single signal or parameter setting, but in the comprehensive philosophy of volatility-aware, risk-adjusted, conditionally-executed trend participation that the system embodies—a philosophy that aligns with how markets actually behave rather than how we might wish them to behave.
Pine Script®指標
由neeson1987提供
Daily Support/Resistance Points (Historical Days)indicator plots support and resistance levels derived from historical price action. It analyzes higher‑timeframe candles (Daily/Weekly/Monthly) and ranks levels by strength and number of touches, then draws the most relevant levels around the current price. If no strong levels are found, it falls back to touch‑based levels so you still get meaningful lines. How to Use: Add the script to any chart. Choose Levels Timeframe: Auto (recommended): follows the chart timeframe (D/W/M). D / W / M: force a specific timeframe. Set lookback windows: Lookback Days (D) – default 200 Lookback Weeks (W) – default 104 Lookback Months (M) – default 60 Adjust sensitivity: Min Strength – filters weaker levels. Volume Multiplier – requires higher volume for stronger levels. Time Decay – gives more weight to recent data. Min Touches (Fallback) – used when no strong levels are found. Optional: enable Show Debug Info to see how many levels are detected. Open Source & License: This script is open source under the MIT License. You are свободно to use, modify, and share it with attribution. Author / Contact: Ron Belson For questions or requests, contact: ronbelson@gmail.com
Pine Script®指標
由ronibelson提供
High-volume buy and sell signals with OB and FVGBuy and sell signals on ob Pivot Point Usage: Instead of detecting each candle of an opposite color, the script uses `ta.pivothigh/low`. This means it only marks a Pivot Point if the price has actually made a significant high or low relative to the 10 preceding and following candles. Dynamic Cleanup (Mitigation): As soon as the price returns to "fill" the area (depending on your choice: simple contact or close), the box disappears from the chart. This keeps your view clean and focused on the remaining untouched areas. Period Setting: You can increase the "Detection Period" (e.g., from 10 to 20) in the settings to filter out even more noise and keep only the major areas. How to use it?
Pine Script®指標
由peacefulOil34051提供
CVD-MACD### CVD-MACD (Research) The CVD-MACD is a research-oriented indicator that combines Cumulative Volume Delta (CVD) with the classic MACD framework to provide insights into market momentum and potential reversals. Unlike a standard MACD based on price, this version uses CVD (the running total of buy vs. sell volume delta) as its input source, offering a volume-driven perspective on trend strength and divergences. Key Features: - **CVD-Based MACD Calculation**: Computes MACD using CVD instead of price, highlighting volume imbalances that may precede price moves. - **Dual Divergence Detection**: Identifies bullish/bearish divergences on both the MACD line and histogram, with configurable pivot lookbacks and filters (e.g., momentum decay and zero-side consistency). - **Visual Flexibility**: Toggle divergences in the indicator pane or overlaid on the main chart, with optional raw CVD line for reference. - **Alerts**: Built-in conditions for bullish and bearish divergences to notify users of potential setups. ###This indicator is designed for research and experimentation—it's not financial advice. It performs best on liquid assets with reliable volume data (e.g., stocks, futures). I've shared this to gather community feedback: please test it thoroughly and point out any bugs, inefficiencies, or improvements! For example, if you spot issues with divergence detection on certain timeframes or symbols, let me know in the comments. Your input will help refine it. Inspired by volume analysis techniques; open to collaborations or forks. ## User Manual for CVD-MACD (Research) ### Overview The CVD-MACD indicator transforms traditional MACD by using Cumulative Volume Delta (CVD) as the base input. CVD accumulates the net delta between estimated buy and sell volume per bar, providing a volume-centric view of momentum. The indicator plots a MACD line, signal line, and histogram, while also detecting divergences on both the MACD line and histogram for potential reversal signals. This manual covers setup, interpretation, and troubleshooting. Note: This is a research tool—backtest and validate on your own data before using in live trading. ### Installation and Setup 1. **Add to Chart**: Search for "CVD-MACD (Research)" in TradingView's indicator library or paste the script into the Pine Editor and add it to your chart. 2. **Compatibility**: Works on any timeframe and symbol with volume data. Best on daily/intraday charts for stocks, forex, or futures. Avoid illiquid symbols where volume may be unreliable. 3. **Customization**: All inputs are configurable via the indicator's settings panel. Defaults are optimized for general use but can be tuned based on asset volatility. ### Input Parameters The inputs are grouped for ease of use: #### MACD Settings - **Fast EMA (CVD)** (default: 12): Length of the fast EMA applied to CVD. Shorter values make it more responsive to recent volume changes. - **Slow EMA (CVD)** (default: 26): Length of the slow EMA on CVD. Longer values smooth out noise for trend identification. - **Signal EMA** (default: 9): Smoothing period for the signal line (EMA of the MACD line). #### Divergence Logic (MACD Line) - **Pivot Lookback (MACD Line)** (default: 5): Bars to look left/right for detecting pivots on the MACD line. Higher values detect larger swings but may miss smaller divergences. - **Max Lookback Range (MACD Line)** (default: 50): Maximum bars between two pivots to consider a divergence valid. Prevents detecting outdated signals. - **Enable Momentum Decay Filter (Histogram)** (default: false): When enabled, requires the histogram to show decaying momentum (absolute value decreasing) for MACD-line divergences to trigger. #### Histogram Divergence - **Pivot Lookback (Histogram)** (default: 5): Similar to above, but for histogram pivots. - **Max Lookback Range (Histogram)** (default: 50): Max bars for histogram divergence detection. - **Show Histogram Divergences in Indicator Pane** (default: true): Displays dashed lines and "H" labels for histogram divergences in the sub-window. - **Show Histogram Divergences on Main Chart** (default: true): Overlays histogram divergences on the price chart with semi-transparent lines and labels. - **Require Histogram to Stay on Same Side of Zero** (default: true): Filters divergences to only those where the histogram doesn't cross zero between pivots, ensuring consistent momentum direction. #### Visuals (Dual View) - **Show MACD-Line Divergences (Indicator Pane)** (default: true): Draws solid lines and "L" labels for MACD-line divergences in the sub-window. - **Show MACD-Line Divergences (Main Chart)** (default: true): Overlays MACD-line divergences on the price chart. - **Show Raw CVD Line** (default: false): Plots the underlying CVD as a faint gray line for reference. ### How to Interpret the Indicator 1. **Core Plots**: - **MACD Line** (blue): Difference between fast and slow CVD EMAs. Above zero indicates building buy volume momentum; below zero shows sell dominance. - **Signal Line** (orange): EMA of the MACD line. Crossovers can signal potential entries/exits (e.g., MACD above signal = bullish). - **Histogram** (columns): MACD minus signal. Green shades for positive/expanding bars (bullish momentum); red for negative/contracting (bearish). Fading colors indicate weakening momentum. - **Zero Line** (gray horizontal): Reference for bullish (above) vs. bearish (below) territory. - **Raw CVD** (optional gray line): The cumulative buy-sell delta. Rising = net buying; falling = net selling. 2. **Divergences**: - **Bullish (Green Lines/Labels)**: Occur when price makes lower lows, but MACD line or histogram makes higher lows. Suggests weakening downside momentum and potential reversal up. Look for "L" (MACD line) or "H" (histogram) labels. - **Bearish (Red Lines/Labels)**: Price higher highs vs. MACD/histogram lower highs. Indicates fading upside and possible downturn. - **Dual View**: Divergences appear in the indicator pane (sub-window) for clean analysis and overlaid on the main chart for price context. Histogram divergences use dashed lines to distinguish from MACD-line (solid). - **Filters**: Momentum decay ensures only "hidden" or weakening divergences trigger. Zero-side filter prevents false signals from oscillating histograms. 3. **Alerts**: - **Bullish Divergence (L or H)**: Triggers on either MACD-line or histogram bullish divergence. Message: "CVD-MACD Bullish Divergence detected on {{ticker}}". - **Bearish Divergence (L or H)**: Similar for bearish. Use TradingView's alert setup to notify via email/SMS/webhook. - Tip: Combine with price action (e.g., support/resistance) for confirmation. ### Usage Tips and Strategies - **Trend Confirmation**: Use in uptrends for bullish divergences (pullback buys) or downtrends for bearish (short entries). - **Timeframe Selection**: Higher timeframes (e.g., daily) for swing trading; lower (e.g., 15-min) for intraday. Adjust pivot lookbacks accordingly (shorter for faster charts). - **Combination Ideas**: Pair with RSI for overbought/oversold confirmation or VWAP for intraday volume context. - **Risk Management**: Divergences are probabilistic—not guarantees. Always use stop-losses based on recent swings. - **Performance Notes**: Backtest on historical data via TradingView's Strategy Tester. CVD relies on accurate volume; test on exchanges like NYSE/NASDAQ. ### Known Limitations and Troubleshooting - **Volume Dependency**: CVD estimation assumes linear buy/sell distribution based on bar position—may be less accurate on thin markets or during gaps. - **Repainting**: Pivots and divergences can repaint as new data arrives (common in pivot-based indicators). Use on closed bars for reliability. - **Resource Usage**: High max_bars_back (5000) ensures deep history; reduce if chart loads slowly. - **No Signals on Low-Volume Bars**: If CVD flatlines, check symbol volume—some crypto/forex pairs have inconsistent data. - **Community Feedback**: If you encounter bugs (e.g., false divergences on specific symbols/timeframes), missing alerts, or calculation errors, please comment below with details like symbol, timeframe, and screenshots. Suggestions for enhancements (e.g., more filters or visuals) are welcome! If you have questions or find issues, drop a comment—let's improve this together!
Pine Script®指標
由Kuokkuok0503提供