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Delta Volume EMA Strategy ================================================================================ DELTA VOLUME EMA STRATEGY - STRATEGY GUIDE 📊 ================================================================================ 💡 COLLABORATION & SUPPORT --------------------------- If you want to collaborate, have an idea for a strategy, or need help writing or customizing code, send an email to burdytrader@gmail.com or send me a message. Suggestions, ideas, and comments are always welcome! 🤝 ================================================================================ ⚠️ IMPORTANT: INSTRUMENT SELECTION 📈 ------------------------------------- This strategy performs BEST with instruments that have a centralized data flow, such as Futures contracts. Centralized markets provide more accurate and reliable volume data, which is essential for Volume Delta analysis to work effectively. Why Futures? 🎯 - Centralized exchange = Accurate volume data - All trades flow through a single exchange - Volume reflects true buying/selling pressure - Better correlation between volume and price movements While the strategy can work with other instruments (stocks, forex, etc.), volume data quality may vary, which can affect the reliability of Volume Delta signals. For optimal performance, use Futures contracts or other instruments with centralized, high-quality volume data. ================================================================================ WHAT DOES THIS STRATEGY DO? 🎯 --------------------------- This strategy uses Volume Delta analysis combined with Exponential Moving Averages (EMA) to identify high-probability trading opportunities. The Volume Delta measures the difference between buying and selling pressure, helping to identify when strong institutional or smart money movements occur. The strategy automatically enters trades when volume delta reaches extreme levels, indicating potential trend continuation or reversal points. HOW IT WORKS? ⚙️ --------------- 1. VOLUME DELTA CALCULATION 📈 The strategy calculates the Volume Delta using the following formula: - Volume Ratio (v) = Current Volume / Previous Volume - EMA of Close (mac) = EMA(Close, MA Length) × Volume Ratio - EMA of Open (mao) = EMA(Open, MA Length) × Volume Ratio - Volume Delta (vd) = mac - mao The Volume Delta shows: - Positive values (green) = Buying pressure (buyers are more active) - Negative values (red) = Selling pressure (sellers are more active) 2. VOLUME DELTA MOVING AVERAGE 📊 The strategy calculates an EMA of the Volume Delta (vdma) to smooth out fluctuations and identify the overall trend of buying/selling pressure: - vdma = EMA(Volume Delta, EMA Length) - When vdma is above zero = Overall buying pressure - When vdma is below zero = Overall selling pressure 3. PERCENTILE-BASED ENTRY CONDITIONS 🎲 Instead of using fixed thresholds, the strategy uses percentile analysis to identify extreme volume delta movements: For LONG entries: - Analyzes seller volumes (negative volume delta) over the lookback period - Calculates the percentile threshold (default: 80th percentile) - Enters LONG when volume delta becomes positive AND exceeds the threshold - This indicates a strong shift from selling to buying pressure For SHORT entries: - Analyzes buyer volumes (positive volume delta) over the lookback period - Calculates the percentile threshold (default: 80th percentile) - Enters SHORT when volume delta becomes negative AND exceeds the threshold - This indicates a strong shift from buying to selling pressure 4. POSITION SIZING 💰 The strategy offers two position sizing methods: a) RISK VALUE (Fixed Risk in Dollars): - Calculates position size based on a fixed dollar risk amount - Formula: Position Size = Risk Amount / (Entry Price × Stop Loss %) - Ensures consistent risk per trade regardless of price level b) LOTS SIZE: - Uses a fixed lot size for all trades - Simple and straightforward approach - Useful when you want consistent position sizes 5. TAKE PROFIT & STOP LOSS SETTINGS 🎯 The strategy offers flexible TP/SL configuration in three modes: a) PERCENTAGE (%): - TP/SL calculated as a percentage of entry price - Example: 2% TP means entry price × 1.02 (for LONG) or × 0.98 (for SHORT) - Adapts automatically to different price levels b) CURRENCY: - TP/SL set as a fixed currency amount - Example: $100 TP means entry price + $100 (for LONG) or - $100 (for SHORT) - Useful for instruments with consistent price movements c) PIPS: - TP/SL set as a fixed number of pips - Automatically converts pips to price using the instrument's minimum tick - Ideal for forex and other pip-based instruments 6. AUTOMATIC TRADE EXECUTION ⚡ When entry conditions are met: - Opens a position (LONG or SHORT) at market price - Automatically sets Take Profit and Stop Loss based on selected mode - Sends an alert with all trade information - Only one position at a time (waits for current position to close) AVAILABLE PARAMETERS ⚙️ ---------------------- 1. MA LENGTH (Default: 10) - Length of the Exponential Moving Average used for close and open prices - Lower values = More sensitive to recent price action - Higher values = More smoothed, less sensitive 2. EMA LENGTH (Default: 20) - Length of the EMA applied to Volume Delta - Controls the smoothing of the volume delta signal - Lower values = Faster signals, more trades - Higher values = Slower signals, fewer but potentially more reliable trades 3. POSITION SIZE MODE - "Risk Value": Calculate position size based on fixed dollar risk - "Lots Size": Use fixed lot size for all trades 4. FIXED RISK IN $ (Default: 50) - Only used when Position Size Mode = "Risk Value" - The dollar amount you're willing to risk per trade - Strategy calculates position size automatically 5. LOT SIZE (Default: 0.01) - Only used when Position Size Mode = "Lots Size" - Fixed lot size for all trades 6. TAKE PROFIT MODE - "%": Percentage of entry price - "Currency": Fixed currency amount - "Pips": Fixed number of pips 7. STOP LOSS MODE - "%": Percentage of entry price - "Currency": Fixed currency amount - "Pips": Fixed number of pips 8. TAKE PROFIT / STOP LOSS VALUES - Different input fields appear based on selected mode - Configure TP and SL independently 9. VOLUME LOOKBACK PERIOD (Default: 20) - Number of bars used to calculate percentile thresholds - Lower values = More sensitive, adapts faster to recent conditions - Higher values = More stable, uses longer-term statistics 10. PERCENTILE THRESHOLD (Default: 80%) - The percentile level used to identify extreme volume delta movements - 80% means: only enter when volume delta exceeds 80% of recent values - Higher values = Fewer but potentially stronger signals - Lower values = More frequent signals VISUALIZATION 📊 --------------- The strategy displays on the chart: 1. VOLUME DELTA COLUMNS - Green columns = Positive volume delta (buying pressure) - Red columns = Negative volume delta (selling pressure) - Height represents the magnitude of buying/selling pressure 2. VOLUME DELTA MA AREA - Two overlapping area plots showing the smoothed volume delta - Black area (base layer) for overall visualization - Green area (when positive) = Overall buying pressure trend - Red area (when negative) = Overall selling pressure trend - Helps identify the dominant market sentiment 3. ZERO LINE - Horizontal line at zero - Helps visualize when buying/selling pressure crosses the neutral point ALERTS 🔔 -------- When enabled, the strategy sends alerts when a trade is opened. The alert message includes: - Direction: "Buy" for LONG positions or "Sell" for SHORT positions - Entry Price: The price at which the position was opened - TP (Take Profit): The target profit price - SL (Stop Loss): The stop loss price Example alert message: "Buy | Entry: 1.2050 | TP: 1.2250 | SL: 1.1950" Alerts can be configured in TradingView to send notifications via email, SMS, webhooks, or other platforms. RECOMMENDED SETTINGS 🎯 ----------------------- To get started, you can use these settings: STRATEGY PARAMETERS: - MA Length: 10 (default) - EMA Length: 20 (default) - Volume Lookback Period: 20 (default) - Percentile Threshold: 80% (default) POSITION SIZING: - Position Size Mode: "Risk Value" (for risk management) - Fixed Risk in $: Adjust based on your account size (e.g., 1-2% of account) - OR use "Lots Size" with 0.01 lots for small accounts TAKE PROFIT & STOP LOSS: - TP Mode: "%" (recommended for most instruments) - SL Mode: "%" (recommended for most instruments) - Take Profit (%): 2.0% (adjust based on your risk/reward preference) - Stop Loss (%): 1.0% (adjust based on your risk tolerance) For Forex: - Consider using "Pips" mode for TP/SL - Typical values: 20-50 pips TP, 10-30 pips SL For Stocks/Indices: - Use "%" mode for TP/SL - Typical values: 2-5% TP, 1-2% SL PRACTICAL EXAMPLE 📝 ------------------- Scenario: LONG Entry on EUR/USD 1. Market conditions: - Price: 1.1000 - Volume Delta becomes strongly positive - Volume Delta exceeds 80th percentile of recent seller volumes 2. Strategy calculates: - Entry Price: 1.1000 (current close) - Position Size Mode: "Risk Value" - Fixed Risk: $50 - Stop Loss Mode: "%" - Stop Loss: 1.0% - Position Size = $50 / (1.1000 × 0.01) = 4.55 lots 3. Strategy opens position: - Direction: LONG (Buy) - Entry: 1.1000 - Take Profit: 1.1220 (2% above entry) - Stop Loss: 1.0890 (1% below entry) - Alert sent: "Buy | Entry: 1.1000 | TP: 1.1220 | SL: 1.0890" 4. Outcome scenarios: - If price rises to 1.1220 → Take Profit hit (profit) - If price falls to 1.0890 → Stop Loss hit (loss limited to $50) IMPORTANT NOTE ⚠️ ----------------- This strategy is a technical analysis tool based on volume delta analysis. Like all trading strategies, it does NOT guarantee profits. Trading involves significant risks and you can lose money, including your entire investment. Past performance does not guarantee future results. Always: - Use appropriate risk management - Never risk more than you can afford to lose - Test the strategy on historical data (backtesting) before using real money - Start with small position sizes or paper trading - Understand that no strategy works 100% of the time - Consider market conditions, news events, and other factors - Keep a trading journal to learn and improve The author and contributors are NOT responsible for any losses incurred from using this strategy. Trading decisions are your own responsibility. Profits are NOT guaranteed, and losses are possible. LICENSE 📄 --------- This code is open source and available for modification. You are free to use, modify, and distribute this strategy. If you republish or share a modified version, please kindly mention the original author. ================================================================================
Strategia Pine Script®
di Burdiga84
Algomist.app v1.0🚀 WMA Crossover Momentum Scalper: Algomist.app AUTO-EXECUTION This strategy is a momentum-based trend-following system optimized for fully automated, high-frequency trade execution via algomist.app webhooks. It systematically enters trades based on a powerful moving average crossover, confirmed by both volume and volatility filters. ⚙️ Core Strategy Logic This script is designed to capture short- to medium-term moves in trending markets by combining three key indicators: Trend Confirmation (WMA Crossover): The primary signal is generated when a Fast WMA (50-period) crosses the Slow WMA (100-period). This crossover confirms the shift in the prevailing trend direction. Volume Filter (VWAP): The trade is only taken if the price is trading above the VWAP for Long entries, or below the VWAP for Short entries. This ensures the trade is aligned with the asset's average price relative to trading volume. Volatility Filter (ATR): A minimum Average True Range (ATR) filter is applied. This is critical for avoiding entries during periods of extreme low volatility ("chop"), ensuring the market has enough movement to justify the trade. 🔗 Algomist.app Automation Ready This is the most important feature. The script contains custom-coded alert() functions that output a perfect JSON payload, making it 100% compatible with the algomist.app webhook infrastructure. Seamless Execution: The strategy instantly transmits all required parameters—symbol, side, entry_price, dynamic stop_loss, and dynamic take_profit—directly to your MT5 terminal through the algomist.app connector. Simple Setup: To enable live automation, you only need to configure a TradingView alert using the provided webhook URL and the {{strategy.order.alert_message}} placeholder on the bar's close. Default Asset: The webhook is pre-configured to trade the ETHUSDC symbol. This can be easily adapted to other crypto or Forex pairs within the algomist.app settings. 🛡️ Dynamic Risk Management (ATR-Based) Risk management is dynamic, ensuring the Stop Loss and Take Profit levels automatically adapt to current market volatility: Stop Loss (SL): Placed at a customizable (x) * ATR distance from the entry price. The default setting is 3.0x ATR. Take Profit (TP): Placed at a customizable (x) * ATR distance from the entry price. The default setting is 9.0x ATR, offering a fixed Reward-to-Risk ratio of 3:1 (9.0 / 3.0). Position Sizing: The script uses strategy.percent_of_equity = 10% for backtesting, but the algomist.app execution is based on an internal calculation using a small percentage (e.g., 5%) of a leveraged notional value for illustrative purposes. Users must set their risk size within the algomist.app platform. Disclaimer: This script is provided as an example for Algomist.app users and is NOT financial advice. Backtest thoroughly across various assets and timeframes. Past performance is not indicative of future results. The user assumes all responsibility for live trading risk.
Strategia Pine Script®
di Algomist_
Gann Octave 8 Ver.2.0Gann Octave 8 Ver.2.0 - Complete Trading Guide Overview This indicator combines W.D. Gann's time-tested principles of market geometry with modern technical analysis. It identifies key market structures and projects precise support/resistance levels along with angular momentum lines to help traders identify high-probability trading opportunities. ________________________________________ Core Concepts 1. Gann's Octave Division (The Rule of 8) W.D. Gann discovered that markets move in harmonic divisions based on the number 8. This indicator divides any swing movement into 8 equal parts (octaves): • 0% - Swing extreme (High for bearish, Low for bullish) • 12.5% - First octave • 25% - Quarter level • 37.5% - Three-eighths level • 50% - Midpoint (most critical level) • 62.5% - Five-eighths level • 75% - Three-quarter level • 87.5% - Seventh octave • 100% - Swing extreme (opposite end) Why 8? Gann believed natural market cycles follow mathematical harmonics. The octave division provides precise entry and exit points that frequently act as support/resistance zones. 2. Gann Angles (Price-Time Relationship) Gann angles represent the relationship between price movement and time. Each angle shows different momentum levels: • 1x1 (Black) - 45° angle, perfect balance between price and time. Most important Gann angle. Represents the natural trend line. • 2x1 (Red) - Steeper angle, 2 units of price per 1 unit of time. Shows strong momentum. • 1x2 (Red) - Flatter angle, 1 unit of price per 2 units of time. Shows weak momentum. • 4x1 & 1x4 (Blue) - Even more extreme angles indicating very strong or very weak trends. • 8x1 & 1x8 (Orange) - Most extreme angles, parabolic moves or complete consolidation. Key Principle: When price is above the 1x1 angle = bullish. Below 1x1 = bearish. When price crosses from one angle to another, it signals a change in momentum. ________________________________________ How the Indicator Works Structure Detection The indicator automatically identifies market swings using pivot points: 1. Bullish Structure (Green): Detected when price makes a higher high o Octave levels calculated from swing low (0%) to swing high (100%) o Gann angles project upward from the swing low 2. Bearish Structure (Red): Detected when price makes a lower low o Octave levels calculated from swing high (0%) to swing low (100%) o Gann angles project downward from the swing high Dynamic Updates • Swing Tracker ON: Levels update continuously as the swing evolves • Swing Tracker OFF: Levels lock at the initial swing detection (cleaner charts) Historical Structures The indicator maintains previous swing structures based on "Number of Swings to Show": • Set to 1: Only current structure (cleanest) • Set to 2-3: Current + recent history (recommended for context) • Set to 4+: Multiple historical structures (may overlap but shows pattern) ________________________________________ Trading Strategy Entry Signals BUY SIGNALS (Green Triangle Up ▲) Signal 1: Bounce from Support Levels • Price drops to 0%, 50%, or 100% level and reverses • Best when combined with bullish candlestick pattern (hammer, engulfing) • Entry: On signal confirmation • Stop Loss: Below the support level (0.5-1% below) • Target: Next octave level up (12.5%, 25%, 50%) Signal 2: Breakout Above Resistance • Price breaks above 50% or 100% level with momentum • Confirms trend continuation or reversal • Entry: On close above the level • Stop Loss: Below the breakout level • Target: Previous swing high or next major level Signal 3: Gann Angle Support • Price bounces off 1x1 angle (black line) • Indicates trend is intact • Entry: When price respects the angle • Stop Loss: Below the 1x1 angle • Target: Next resistance level SELL SIGNALS (Red Triangle Down ▼) Signal 1: Rejection from Resistance Levels • Price rallies to 0%, 50%, or 100% level and reverses • Best when combined with bearish candlestick pattern (shooting star, bearish engulfing) • Entry: On signal confirmation • Stop Loss: Above the resistance level (0.5-1% above) • Target: Next octave level down (87.5%, 75%, 50%) Signal 2: Breakdown Below Support • Price breaks below 50% or 0% level with momentum • Confirms trend continuation or reversal • Entry: On close below the level • Stop Loss: Above the breakdown level • Target: Previous swing low or next major level Signal 3: Gann Angle Resistance • Price fails at 1x1 angle (black line) • Indicates trend weakness • Entry: When price rejects the angle • Stop Loss: Above the 1x1 angle • Target: Next support level ________________________________________ Advanced Trading Techniques 1. The 50% Rule (Most Powerful) The 50% octave level is the most critical in Gann theory: • In Uptrend: Price should not break below 50% retracement. If it holds = trend intact, go long. • In Downtrend: Price should not break above 50% retracement. If it holds = trend intact, go short. • Reversal: Breaking and closing beyond 50% often signals trend reversal. 2. Gann Angle Confluence When multiple Gann angles converge with octave levels = HIGH probability zone: • Look for price to bounce or reverse at these zones • Example: 1x2 angle meets 50% level = strong support/resistance • These zones often become pivot points 3. Multiple Timeframe Analysis • Use higher timeframe (daily) for major structure • Use lower timeframe (5min, 15min) for precise entries • Take trades when both timeframes align 4. Swing Failure Pattern • Price breaks a key level (e.g., 50%) but quickly reverses back • This "false breakout" often leads to strong move in opposite direction • Wait for signal in the reversal direction ________________________________________ Settings Optimization For Day Trading (Scalping) • Structure Period: 0-2 (22 bars or less) • Number of Swings: 1 (only current structure) • Signal Sensitivity: High • Swing Tracker: OFF (cleaner) For Swing Trading • Structure Period: 4-5 (44-88 bars) • Number of Swings: 2-3 • Signal Sensitivity: Medium • Swing Tracker: ON or OFF (preference) For Position Trading • Structure Period: 6-8 (176+ bars) • Number of Swings: 3-5 • Signal Sensitivity: Low • Swing Tracker: ON ________________________________________ Common Patterns to Watch Bullish Reversal Setup 1. Price in bearish structure (red levels) 2. Price drops to 100% level (swing low) 3. Buy signal appears (green triangle) 4. Price breaks back above 50% level 5. Action: Go long with stop below 100% Bearish Reversal Setup 1. Price in bullish structure (green levels) 2. Price rises to 100% level (swing high) 3. Sell signal appears (red triangle) 4. Price breaks back below 50% level 5. Action: Go short with stop above 100% Trend Continuation 1. Price respects 1x1 Gann angle 2. Small pullback to 25% or 37.5% level 3. Buy/sell signal appears 4. Action: Enter in trend direction ________________________________________ ________________________________________ Signal Sensitivity Guide • Low: Conservative, only major breakouts (3-5 signals per day) • Medium: Balanced, includes approaches (5-10 signals per day) • High: Aggressive, includes bounces (10-20 signals per day) Choose based on your trading style and risk tolerance ________________________________________ Final Words This indicator is a powerful tool, but remember: "The market is never wrong. Opinions are." - W.D. Gann • No indicator is 100% accurate • Always combine with price action and volume • Backtest on your instrument and timeframe • Keep learning and adapting your strategy • Discipline and risk management are more important than the perfect setup Happy Trading! 📈
Indicatore Pine Script®
di TimePriceDecoder
3
In-Range Rolling SL In-Range Rolling SL Indicator Guide The In-Range Rolling SL indicator is a dynamic stop-loss system designed for intraday trading that identifies squeeze conditions and trade entry opportunities based on rolling price windows. Core Concept The indicator analyzes the highest high and lowest low over a defined lookback period (default: 2 candles) to establish an "in-range" zone. When price stays within this range without breaking either boundary, it creates a squeeze condition—signaling potential breakout opportunities. Trading Strategy Wait for the Squeeze Setup The most effective approach is to wait for the in-range stop-loss squeeze to form. This occurs when both the long SL (green line) and short SL (red line) are active simultaneously, indicated by the yellow status dot (🟡) in the indicator table. Analyze the wick high/close relationship against the in-range SL while price remains compressed—this setup identifies which side is more likely to break first. Entry Timing and Risk Management Long Entry: Enter when a candle closes above the in-range short SL (red line) without any wick above it. This "perfect breakout candle" confirms bullish momentum. Your entry should be around the region, with your stop-loss placed just below the top of the breakout candle's high. Short Entry: Enter when a candle closes below the in-range long SL (green line). The stop-loss for short trades should be set 34.26 points above your entry for appropriate risk protection. Risk-Reward Considerations If you enter at the low of a breakout candle, expect only 8.26 points of drawdown potential. However, if you accidentally go long and your stop gets hit, you'll experience the full in-range stop-loss distance as your loss. Advanced Techniques Failed Breakout Trap: If a follow-up candle doesn't make a higher high after the initial breakout, consider adding a "winner" for compensation rather than holding for a trap. When your buy-stop sits on top of the breakout candle high, this isn't a valid long trade setup. Flip Trade Opportunity: In-range stop-loss attempts to flip often provide ideal entry points. If the up candle doesn't break the previous low, this validates the long continuation. Long Scalp Trading: A failed long scalp can be traded if you missed the initial market open down-up-down trend. With a stop-loss of 34 points and potential profit exceeding 50 points, this provides favorable risk-reward ratios. Sustained Loss Management: Stop-loss for long positions should target 26 points maximum loss. The indicator automatically invalidates stop-losses when price violates them, keeping your chart clean for the next setup. ------------------------- In-Range Rolling SL Indicator Guide The In-Range Rolling SL indicator is a dynamic stop-loss system designed for intraday trading that identifies squeeze conditions and breakout opportunities based on rolling price windows. How the Indicator Works The indicator tracks the highest high and lowest low over your selected lookback period (default: 2 candles) to establish dynamic support and resistance levels. These levels create an "in-range" zone that adapts as new price action develops. Visual Components Green Line (Long SL): The rolling window's lowest low - your stop-loss level for long positions Red Line (Short SL): The rolling window's highest high - your stop-loss level for short positions Status Indicators: 🟡 Yellow: Squeeze condition (both SLs active) 🟢 Green: Long-only setup 🔴 Red: Short-only setup ⚪ White: Neutral (no active SLs) The Squeeze Setup Strategy Step 1: Wait for the Squeeze The most effective way to use the In-Range Rolling SL is to wait for the in-range stop-loss squeeze to form. During the squeeze, both the green and red lines are active, meaning price has stayed within the rolling window without breaking either boundary. This compression phase indicates that it's "go time" to prepare your trade. While in the squeeze, analyze the wick high/close relationship against the in-range SL levels. This analysis helps you determine which side is more likely to split when the breakout occurs. Step 2: Identify the Perfect Breakout Long Breakout: A perfect breakout candle should close above the in-range stop-loss high (red line) without any wick above it. This clean breakout demonstrates strong momentum and reduces the risk of a false breakout. Short Breakout: Look for a candle that closes below the in-range SL low (green line), indicating a short-side trade is coming up. Step 3: Entry Execution Long Entry: Your entry should be around the region of the breakout. Position your stop-loss just below the top of the breakout candle's high. This placement protects you from failed breakouts while giving the trade room to develop. Short Entry: Enter as the candle closes below the in-range SL low. The stop-loss for short-side trades is typically 34.26 points of potential loss based on the indicator's measurements. Risk-Reward Analysis Entry at Breakout Low If you enter here at the low of the breakout candle, you're looking at only 8.26 points of drawdown potential. This represents your best-case entry scenario. Accidental Wrong-Side Entry However, if you accidentally go long here and your stop gets hit, you'll experience the full in-range stop-loss distance as your loss. This emphasizes the importance of waiting for clear breakout confirmation. Long Scalp Opportunity A failed long scalp can be traded here if you missed the market open down-up-down trend. With a stop-loss of 34 points and potential profit greater than 50 points, this setup offers a favorable risk-reward ratio of approximately 1:1.5. Advanced Trade Management Failed Breakout Recognition Follow-Up Candle Validation: If a follow-up candle did not make a higher high than the breakout candle, this could be a trap. Your buy-stop on top of the breakout candle high is not a valid long trade setup in this scenario. Consider adding a "winner" for compensation rather than holding through the potential reversal. Flip Trade Opportunities In-range stop-loss tries to flip to the other side often provide excellent entries. If the up candle did not break the previous low, this validates the long continuation and suggests the squeeze is resolving to the upside. Sustained Position Management Stop-Loss Guidelines: Stop-loss for long positions should be 26 points of maximum loss. The indicator table displays the delta (Δ) showing your real-time distance to the active stop-loss, helping you manage risk dynamically. Entry Timing: Your entry should be around the region where the breakout confirms, rather than chasing price after a large move. In order to prepare your trade, position your stop-loss on top of the breakout candle's high for long trades. Practical Example from the Chart Looking at the MNQ1! chart, you can see multiple squeeze formations throughout the session. The most notable sequence shows: An initial downtrend creating a squeeze setup A perfect breakout candle closing above the red line without upper wick The subsequent candle validating the move Later, a failed breakout attempt that created a short opportunity Multiple flip attempts that provided re-entry points for scalpers The indicator's table in the top-right continuously updates with the current SL levels, gap size, candle size, and delta values - giving you all the information needed to assess each trade's risk-reward profile in real-time.
Indicatore Pine Script®
di DeLeBlanc
Mean Reversion — BB + Z-Score + RSI + EMA200 (TP at Opposite Z)This is a systematic mean-reversion framework for index futures and other liquid assets. This strategy combines Bollinger Bands, Z-Score dislocation, RSI extremes, and a trend-filtering EMA200 to capture short-term mean-reversion inefficiencies in NQ1!. It is designed for high-volatility conditions and uses a precise exit model based on opposite-side Z-Score targets and dynamic mid-band failure detection. 🔍 Entry Logic (Mean Reversion) : The strategy enters trades only when multiple confluence signals align: Long Setup Price at or below the lower Bollinger Band Z-Score ≤ –Threshold (deep statistical deviation) RSI ≤ oversold level Price below the EMA-200 (countertrend mean-reversion only) Cooldown must be completed No open position Short Setup Price at or above the upper Bollinger Band Z-Score ≥ Threshold RSI ≥ overbought level Price above the EMA-200 Cooldown complete No open position This multi-signal gate filters out weak reversions and focuses on mature dislocations. 🎯 Take-Profit Model: Opposite-Side Z-Score Target : Once in a trade, take-profit is set by solving for the price where the Z-Score reaches the opposite side: Long TP = Z = +Threshold Short TP = Z = –Threshold This creates a symmetric statistical exit based on reverting to equilibrium plus overshoot. 🛡️ Stop-Loss System (Volatility-Aware) : Stop losses combine: A fixed base stop (points) A standard-deviation volatility component This adapts the SL to regime changes and avoids being shaken out during rare volatility spikes. ⏳ Half-Life Exit : If a trade has not reverted within a fixed number of bars, it automatically closes. This prevents “mean-reversion traps” during trending periods. 📉 Advanced Mid-Band Exit Logic (BB Basis Failure) : This is the unique feature of the system. After entry: Wait for price to cross the Bollinger Basis (middle band) in the direction of the mean. Start a 5-bar delay timer. After 5 bars, the strategy becomes “armed.” Once armed: If price fails back through the mean, exit immediately. Intrabar exits trigger precisely (with tick-level precision if Bar Magnifier is enabled). This protects profits and exits trades at the first sign of mean-failure. ⏱️ Cooldown System : After each closed trade, a cooldown period prevents immediate re-entry. This avoids clustering and improves statistical independence of trades. 🖥️ What This Strategy Is Best For : High-volatility intraday NQ conditions Statistical mean reversion with structured confluence Traders who want clean, rule-based entries Avoiding trend-day traps using EMA and half-life logic 📊 Included Visual Elements : Bollinger Bands (Upper, Basis, Lower) BUY/SELL markers at signal generation Optional alerts for automated monitoring 🚀 Summary : This is a precision mean-reversion system built around volatility bands, statistical dislocation, and price-behavior confirmation. By combining Z-Score, RSI, EMA200 filtering, and a sophisticated mid-band failure exit, this model captures high-probability reversions while avoiding the common pitfalls of naive band-touch systems.
Strategia Pine Script®
di spyqdia
Scout Regiment - MACD# Scout Regiment - MACD Indicator ## English Documentation ### Overview Scout Regiment - MACD is an advanced implementation of the Moving Average Convergence Divergence indicator with enhanced features including dual divergence detection (histogram and MACD line), customizable moving average types, multi-timeframe analysis, and sophisticated visual elements. This indicator provides traders with comprehensive momentum analysis and high-probability reversal signals. ### What is MACD? MACD (Moving Average Convergence Divergence) is a trend-following momentum indicator that shows the relationship between two moving averages: - **MACD Line**: Difference between fast and slow EMAs - **Signal Line**: Moving average of the MACD line - **Histogram**: Difference between MACD line and signal line - **Purpose**: Identifies trend direction, momentum strength, and potential reversals ### Key Features #### 1. **Enhanced MACD Display** **Three Core Components:** **MACD Line** (Default: Blue/Orange, 2px) - Fast EMA (13) minus Slow EMA (34) - Shows momentum direction - Color changes based on position relative to signal line: - Blue: Above signal line (bullish) - Orange: Below signal line (bearish) - Can be toggled on/off **Signal Line** (Default: White/Blue with transparency, 2px) - EMA (9) of the MACD line - Serves as trigger line for crossover signals - Color varies based on settings - Essential for identifying entry/exit points **Histogram** (Default: 4-color gradient, 4px columns) - Difference between MACD and signal line - Visual representation of momentum strength - Advanced 4-color scheme: - **Dark Green (#26A69A)**: Positive and increasing (strong bullish) - **Light Green (#B2DFDB)**: Positive but decreasing (weakening bullish) - **Dark Red (#FF5252)**: Negative and decreasing (strong bearish) - **Light Red (#FFCDD2)**: Negative but increasing (weakening bearish) - Histogram tells the "story" of momentum changes #### 2. **Customizable Moving Average Types** **Oscillator MA Type** (MACD Line calculation): - **EMA** (Exponential) - Default, more responsive - **SMA** (Simple) - Smoother, less responsive **Signal Line MA Type**: - **EMA** (Exponential) - Default, faster signals - **SMA** (Simple) - Slower, fewer false signals **Flexibility**: Mix and match for different trading styles - EMA/EMA: Most responsive (day trading) - SMA/SMA: Smoothest (swing trading) - EMA/SMA or SMA/EMA: Balanced approaches #### 3. **Multi-Timeframe Capability** **Current Chart Period** (Default: Enabled) - Uses current timeframe automatically - Simplest option for most traders **Custom Timeframe Selection** - Calculate MACD on any timeframe - Display higher timeframe MACD on lower timeframe charts - Example: View 1H MACD on 15min chart - **Use Case**: Align lower timeframe trades with higher timeframe momentum #### 4. **Visual Enhancement Features** **Golden Cross / Death Cross Markers** - Circles mark crossover points - Color matches MACD line color - Clearly identifies entry/exit signals - Can be toggled on/off **Zero Line** (White, 2px solid) - Reference for positive/negative momentum - Critical level for trend identification - MACD above zero = Bullish bias - MACD below zero = Bearish bias **Color Transitions** - MACD line changes color at signal line crosses - Histogram shows momentum acceleration/deceleration - Provides early warning of trend changes #### 5. **Dual Divergence Detection System** This indicator features TWO separate divergence detection systems: **A. Histogram Divergence Detection** - **Purpose**: Earlier divergence signals (most sensitive) - **Detects**: Regular bullish and bearish divergences - **Label**: "H涨" (Histogram Up), "H跌" (Histogram Down) - **Special Feature**: Same-sign requirement option - Top divergence: Both histogram points must be positive - Bottom divergence: Both histogram points must be negative - Filters out less reliable divergences **B. MACD Line Divergence Detection** - **Purpose**: Stronger, more reliable divergences - **Detects**: Regular bullish and bearish divergences - **Label**: "M涨" (MACD Up), "M跌" (MACD Down) - **Use**: Confirmation of histogram divergences or standalone **Divergence Types Explained:** **Regular Bullish Divergence (Yellow)** - **Price**: Lower lows - **Indicator**: Higher lows (histogram OR MACD line) - **Signal**: Potential upward reversal - **Best**: Near support levels, oversold conditions - **Entry**: After price breaks above recent resistance **Regular Bearish Divergence (Blue)** - **Price**: Higher highs - **Indicator**: Lower highs (histogram OR MACD line) - **Signal**: Potential downward reversal - **Best**: Near resistance levels, overbought conditions - **Entry**: After price breaks below recent support #### 6. **Advanced Divergence Parameters** **Histogram Divergence Settings:** - **Price Reference**: Wicks (default) or Bodies - **Right Lookback**: Bars to right of pivot (default: 2) - **Left Lookback**: Bars to left of pivot (default: 5) - **Max Range**: Maximum bars between divergences (default: 60) - **Min Range**: Minimum bars between divergences (default: 5) - **Same Sign Requirement**: Ensures both histogram points have same sign - **Show Regular Divergence**: Toggle display - **Show Labels**: Toggle divergence labels **MACD Line Divergence Settings:** - **Price Reference**: Wicks (default) or Bodies - **Right Lookback**: Bars to right of pivot (default: 1) - **Left Lookback**: Bars to left of pivot (default: 5) - **Max Range**: Maximum bars between divergences (default: 60) - **Min Range**: Minimum bars between divergences (default: 5) - **Show Regular Divergence**: Toggle display - **Show Labels**: Toggle divergence labels **Independent Control**: Adjust histogram and MACD line divergences separately ### Configuration Settings #### MACD Basic Settings - **Fast EMA Period**: Fast moving average length (default: 13) - **Slow EMA Period**: Slow moving average length (default: 34) - **Signal Line Period**: Signal line length (default: 9) - **Use Current Chart Period**: Auto-adjust to current timeframe - **Select Period**: Choose custom timeframe - **Show MACD & Signal Lines**: Toggle lines display - **Show Cross Markers**: Toggle golden/death cross dots - **Show Histogram**: Toggle histogram display - **Show Crossover Color Change**: Enable MACD line color change - **Show Histogram Colors**: Enable 4-color histogram scheme - **Oscillator MA Type**: Choose SMA or EMA for MACD - **Signal Line MA Type**: Choose SMA or EMA for signal #### Histogram Divergence Settings - **Show Histogram Divergence**: Enable histogram divergence detection - **Price Reference**: Wicks or Bodies for price comparison - **Right/Left Lookback**: Pivot detection parameters - **Max/Min Range**: Distance constraints between pivots - **Show Regular Divergence**: Display histogram divergence lines - **Show Labels**: Display histogram divergence labels - **Require Same Sign**: Enforce histogram sign consistency #### MACD Line Divergence Settings - **Show MACD Line Divergence**: Enable MACD line divergence detection - **Price Reference**: Wicks or Bodies for price comparison - **Right/Left Lookback**: Pivot detection parameters - **Max/Min Range**: Distance constraints between pivots - **Show Regular Divergence**: Display MACD line divergence lines - **Show Labels**: Display MACD line divergence labels ### How to Use #### For Basic Trend Following 1. **Enable Core Components** - MACD line, signal line, and histogram - Enable cross markers 2. **Identify Trend** - MACD above zero = Uptrend - MACD below zero = Downtrend 3. **Watch for Crossovers** - Golden cross (MACD crosses above signal) = Buy signal - Death cross (MACD crosses below signal) = Sell signal 4. **Confirm with Histogram** - Increasing histogram = Strengthening trend - Decreasing histogram = Weakening trend #### For Divergence Trading 1. **Enable Both Divergence Systems** - Histogram divergence (early signals) - MACD line divergence (confirmation) 2. **Wait for Divergence Signals** - "H涨" or "H跌" = Early warning - "M涨" or "M跌" = Confirmation 3. **Best Divergences** - Both histogram AND MACD line showing divergence - Divergence at key support/resistance levels - Multiple divergences on same trend 4. **Entry Timing** - Wait for price structure break - Enter on pullback after confirmation - Use MACD crossover as trigger #### For Multi-Timeframe Analysis 1. **Set Higher Timeframe** - Example: 4H MACD on 1H chart - Uncheck "Use Current Chart Period" - Select desired timeframe 2. **Identify Higher TF Trend** - MACD position relative to zero - MACD vs signal line relationship 3. **Trade with HTF Direction** - Only take long signals if HTF MACD bullish - Only take short signals if HTF MACD bearish 4. **Use Current TF for Entries** - Higher TF for bias - Current TF for precise timing #### For Histogram Analysis 1. **Enable 4-Color Histogram** - Watch color transitions - Dark colors = Strong momentum - Light colors = Weakening momentum 2. **Momentum Stages** - Dark green → Light green = Bullish losing steam - Light red → Dark red = Bearish gaining strength 3. **Trade Transitions** - Light green to light red = Momentum shift (potential reversal) - Entry on confirmation crossover ### Trading Strategies #### Strategy 1: Classic MACD Crossover **Setup:** - Standard settings (13/34/9) - Enable MACD, signal line, and cross markers - Clear trend on higher timeframe **Entry:** - **Long**: Golden cross (circle marker) above zero line - **Short**: Death cross (circle marker) below zero line **Confirmation:** - Histogram color supporting direction - Volume increase helps **Stop Loss:** - Below recent swing low (long) - Above recent swing high (short) **Exit:** - Opposite crossover - MACD crosses zero line against position **Best For:** Trend following, clear trending markets #### Strategy 2: Zero Line Bounce **Setup:** - Enable all components - Established trend (MACD staying one side of zero) - Wait for pullback to zero line **Entry:** - **Long**: MACD touches zero from above, bounces up with golden cross - **Short**: MACD touches zero from below, bounces down with death cross **Confirmation:** - Histogram color change - Price at support/resistance **Stop Loss:** - Just beyond zero line (opposite side) **Exit:** - Target previous extreme - Or opposite crossover **Best For:** Trend continuation, strong markets #### Strategy 3: Dual Divergence Confirmation **Setup:** - Enable both histogram and MACD line divergences - Price at extreme (high/low) - Wait for divergence signals **Entry:** - **Long**: Both "H涨" AND "M涨" labels appear - **Short**: Both "H跌" AND "M跌" labels appear **Confirmation:** - Price breaks structure - Volume increase - Golden/death cross confirms **Stop Loss:** - Beyond divergence pivot point **Exit:** - MACD crosses zero line - Or opposite divergence appears **Best For:** Reversal trading, swing trading #### Strategy 4: Histogram Color Transition **Setup:** - Enable 4-color histogram - Focus on color changes - Price in trend **Entry:** - **Long**: Light red → Light green transition + golden cross - **Short**: Light green → Light red transition + death cross **Rationale:** - Light colors show momentum exhaustion - Color flip = momentum shift - Early entry before full trend reversal **Stop Loss:** - Recent swing point **Exit:** - Histogram color turns light against position - Or at predetermined target **Best For:** Scalping, day trading, early entries #### Strategy 5: Multi-Timeframe Momentum **Setup:** - Display higher timeframe MACD (e.g., 4H on 1H chart) - Current chart shows current momentum - Higher TF shows overall bias **Entry:** - **Long**: HTF MACD above zero + current TF golden cross - **Short**: HTF MACD below zero + current TF death cross **Confirmation:** - HTF histogram supporting direction - Both timeframes aligned **Stop Loss:** - Based on current timeframe structure **Exit:** - Current TF opposite crossover - Or HTF MACD momentum weakens **Best For:** Swing trading, high-probability setups #### Strategy 6: Histogram-Only Divergence Scout **Setup:** - Enable only histogram divergence - Use "same sign requirement" - Focus on early signals **Entry:** - **Long**: "H涨" label + price at support - **Short**: "H跌" label + price at resistance **Confirmation:** - Wait for MACD/signal crossover - Or price structure break **Advantage:** - Earliest divergence signals - Get in before crowd **Risk:** - More false signals than MACD line divergence - Requires strict confirmation **Stop Loss:** - Tight stop beyond entry bar **Exit:** - Quick targets (30-50% of expected move) - Or trail stop **Best For:** Active traders, scalpers seeking early entries ### Best Practices #### MACD Period Selection **Standard (13/34/9)** - Default - Balanced for most markets - Good for day trading and swing trading - Widely used, works with general market psychology **Faster (8/21/5 or 12/26/9)** - More responsive - More signals, more noise - Best for: Scalping, volatile markets - Risk: More false signals **Slower (21/55/13)** - Smoother signals - Fewer but stronger signals - Best for: Swing trading, position trading - Benefit: Higher reliability #### Histogram vs MACD Line Divergences **Histogram Divergence:** - ✅ Earlier signals - ✅ Catch moves before others - ❌ More false signals - ❌ Requires confirmation - **Best for**: Active traders, scalpers **MACD Line Divergence:** - ✅ More reliable - ✅ Stronger divergences - ❌ Later signals - ❌ May miss early moves - **Best for**: Swing traders, conservative traders **Both Together:** - ✅ Maximum confidence - ✅ Histogram for alert, MACD for confirmation - ✅ Highest probability setups - **Best for**: All traders seeking quality over quantity #### Same Sign Requirement Feature **Enabled (Recommended):** - Filters low-quality divergences - Top divergence: Both histogram points positive - Bottom divergence: Both histogram points negative - Results in fewer but more reliable signals **Disabled:** - More divergence signals - Includes zero-line crossing divergences - Higher false signal rate - Only for experienced traders #### Price Reference: Wicks vs Bodies **Wicks (Default):** - Uses high/low prices - Catches all extremes - More divergences detected - Best for: Most trading styles **Bodies:** - Uses open/close prices - Filters out spike movements - Fewer but cleaner divergences - Best for: Noisy markets, crypto #### Visual Settings Recommendations **For Beginners:** - Enable: MACD line, signal line, histogram - Enable: Cross markers - Enable: Histogram colors - Disable: Both divergence systems initially - Focus: Learn basic crossovers first **For Intermediate:** - All basic components - Add: Histogram divergence only - Use: Same sign requirement - Focus: Early reversal signals **For Advanced:** - All components - Both divergence systems - Custom parameters per market - Multi-timeframe analysis - Focus: High-probability confluence setups ### Indicator Combinations **With Moving Averages (EMAs):** - EMAs (21/55/144) show trend - MACD shows momentum - Enter when both align - Exit when MACD turns first **With RSI:** - RSI for overbought/oversold - MACD for momentum confirmation - Divergence on both = Extremely strong signal - RSI + MACD divergence = High probability trade **With Volume:** - Volume confirms MACD signals - Crossover + volume spike = Valid breakout - Divergence + volume divergence = Strong reversal **With Support/Resistance:** - S/R levels for entry/exit targets - MACD divergence at levels = Highest probability - MACD crossover at level = Strong confirmation **With Bias Indicator:** - Bias shows price deviation from EMA - MACD shows momentum - Both diverging = Powerful reversal signal - Bias extreme + MACD divergence = High conviction trade **With OBV:** - OBV shows volume trend - MACD shows price momentum - OBV + MACD divergence = Volume not supporting price - Strong reversal indication **With KSI (RSI/CCI):** - KSI for oscillator extremes - MACD for momentum direction - KSI extreme + MACD divergence = Reversal likely - All aligned = Maximum confidence ### Common MACD Patterns 1. **Bullish Cross Above Zero**: Strong uptrend continuation signal 2. **Bearish Cross Below Zero**: Strong downtrend continuation signal 3. **Zero Line Rejection**: Price respects zero as support/resistance 4. **Histogram Peak**: Momentum climax, watch for reversal 5. **Double Divergence**: Two divergences without reversal = Very strong signal when it finally reverses 6. **Histogram Convergence**: Histogram narrowing = Trend losing steam 7. **Signal Line Hug**: MACD stays close to signal = Consolidation, expect breakout ### Performance Tips - Start with default settings (13/34/9 EMA/EMA) - Test one divergence system at a time - Use same sign requirement initially - Enable cross markers for clear signals - Adjust lookback parameters per market volatility - Higher timeframe MACD more reliable than lower - Combine histogram early signal with MACD line confirmation - Don't trade every divergence - wait for best setups ### Alert Conditions While not explicitly coded, you can set custom alerts on: - MACD crossing above/below signal line - MACD crossing above/below zero line - Histogram crossing zero - When divergence labels appear (using visual alerts) --- ## 中文说明文档 ### 概述 Scout Regiment - MACD 是移动平均线收敛发散指标的高级实现版本，具有增强功能，包括双重背离检测（直方图和MACD线）、可自定义的移动平均类型、多时间框架分析和复杂的视觉元素。该指标为交易者提供全面的动量分析和高概率反转信号。 ### 什么是MACD？ MACD（移动平均线收敛发散）是一个趋势跟随动量指标，显示两条移动平均线之间的关系： - **MACD线**：快速和慢速EMA之间的差值 - **信号线**：MACD线的移动平均 - **直方图**：MACD线和信号线之间的差值 - **用途**：识别趋势方向、动量强度和潜在反转 ### 核心功能 #### 1. **增强的MACD显示** **三个核心组件：** **MACD线**（默认：蓝色/橙色，2像素） - 快速EMA（13）减去慢速EMA（34） - 显示动量方向 - 根据相对于信号线的位置改变颜色： - 蓝色：信号线上方（看涨） - 橙色：信号线下方（看跌） - 可开关显示 **信号线**（默认：白色/蓝色带透明度，2像素） - MACD线的EMA（9） - 作为交叉信号的触发线 - 颜色根据设置变化 - 识别进出场点的关键 **直方图**（默认：4色渐变，4像素柱） - MACD和信号线之间的差值 - 动量强度的视觉表示 - 高级4色方案： - **深绿色（#26A69A）**：正值且增加（强劲看涨） - **浅绿色（#B2DFDB）**：正值但减少（看涨减弱） - **深红色（#FF5252）**：负值且减少（强劲看跌） - **浅红色（#FFCDD2）**：负值但增加（看跌减弱） - 直方图讲述动量变化的"故事" #### 2. **可自定义的移动平均类型** **振荡器MA类型**（MACD线计算）： - **EMA**（指数）- 默认，反应更快 - **SMA**（简单）- 更平滑，反应较慢 **信号线MA类型**： - **EMA**（指数）- 默认，更快信号 - **SMA**（简单）- 更慢，假信号更少 **灵活性**：混合搭配以适应不同交易风格 - EMA/EMA：最灵敏（日内交易） - SMA/SMA：最平滑（波段交易） - EMA/SMA或SMA/EMA：平衡方法 #### 3. **多时间框架功能** **当前图表周期**（默认：启用） - 自动使用当前时间框架 - 大多数交易者的最简单选项 **自定义时间框架选择** - 在任何时间框架上计算MACD - 在低时间框架图表上显示高时间框架MACD - 示例：在15分钟图上查看1小时MACD - **使用场景**：使低时间框架交易与高时间框架动量保持一致 #### 4. **视觉增强功能** **金叉/死叉标记** - 圆点标记交叉点 - 颜色与MACD线颜色匹配 - 清晰识别进出场信号 - 可开关 **零线**（白色，2像素实线） - 正负动量的参考 - 趋势识别的关键水平 - MACD在零线上方 = 看涨偏向 - MACD在零线下方 = 看跌偏向 **颜色转换** - MACD线在信号线交叉处改变颜色 - 直方图显示动量加速/减速 - 提供趋势变化的早期警告 #### 5. **双重背离检测系统** 该指标具有两个独立的背离检测系统： **A. 直方图背离检测** - **用途**：更早的背离信号（最敏感） - **检测**：常规看涨和看跌背离 - **标签**："H涨"（直方图上涨）、"H跌"（直方图下跌） - **特殊功能**：同符号要求选项 - 顶背离：两个直方图点都必须为正 - 底背离：两个直方图点都必须为负 - 过滤不太可靠的背离 **B. MACD线背离检测** - **用途**：更强、更可靠的背离 - **检测**：常规看涨和看跌背离 - **标签**："M涨"（MACD上涨）、"M跌"（MACD下跌） - **用途**：确认直方图背离或独立使用 **背离类型说明：** **常规看涨背离（黄色）** - **价格**：更低的低点 - **指标**：更高的低点（直方图或MACD线） - **信号**：潜在向上反转 - **最佳**：在支撑水平附近、超卖状况 - **入场**：价格突破近期阻力后 **常规看跌背离（蓝色）** - **价格**：更高的高点 - **指标**：更低的高点（直方图或MACD线） - **信号**：潜在向下反转 - **最佳**：在阻力水平附近、超买状况 - **入场**：价格跌破近期支撑后 #### 6. **高级背离参数** **直方图背离设置：** - **价格参考**：影线（默认）或实体 - **右侧回溯**：枢轴点右侧K线数（默认：2） - **左侧回溯**：枢轴点左侧K线数（默认：5） - **最大范围**：背离之间最大K线数（默认：60） - **最小范围**：背离之间最小K线数（默认：5） - **同符号要求**：确保两个直方图点符号相同 - **显示常规背离**：切换显示 - **显示标签**：切换背离标签 **MACD线背离设置：** - **价格参考**：影线（默认）或实体 - **右侧回溯**：枢轴点右侧K线数（默认：1） - **左侧回溯**：枢轴点左侧K线数（默认：5） - **最大范围**：背离之间最大K线数（默认：60） - **最小范围**：背离之间最小K线数（默认：5） - **显示常规背离**：切换显示 - **显示标签**：切换背离标签 **独立控制**：分别调整直方图和MACD线背离 ### 配置设置 #### MACD基础设置 - **快速EMA周期**：快速移动平均长度（默认：13） - **慢速EMA周期**：慢速移动平均长度（默认：34） - **信号线周期**：信号线长度（默认：9） - **使用当前图表周期**：自动调整到当前时间框架 - **选择周期**：选择自定义时间框架 - **显示MACD线和信号线**：切换线条显示 - **显示金叉死叉圆点标记**：切换金叉/死叉圆点 - **显示直方图**：切换直方图显示 - **显示穿越变化MACD线**：启用MACD线颜色变化 - **显示直方图颜色**：启用4色直方图方案 - **振荡器MA类型**：为MACD选择SMA或EMA - **信号线MA类型**：为信号线选择SMA或EMA #### 直方图背离设置 - **显示直方图背离信号**：启用直方图背离检测 - **价格参考**：影线或实体用于价格比较 - **右侧/左侧回溯**：枢轴检测参数 - **最大/最小范围**：枢轴之间的距离约束 - **显示直方图常规背离**：显示直方图背离线 - **显示直方图常规背离标签**：显示直方图背离标签 - **要求背离点柱状图同符号**：强制直方图符号一致性 #### MACD线背离设置 - **显示MACD线背离信号**：启用MACD线背离检测 - **价格参考**：影线或实体用于价格比较 - **右侧/左侧回溯**：枢轴检测参数 - **最大/最小范围**：枢轴之间的距离约束 - **显示线常规背离**：显示MACD线背离线 - **显示线常规背离标签**：显示MACD线背离标签 ### 使用方法 #### 基础趋势跟随 1. **启用核心组件** - MACD线、信号线和直方图 - 启用交叉标记 2. **识别趋势** - MACD在零线上方 = 上升趋势 - MACD在零线下方 = 下降趋势 3. **观察交叉** - 金叉（MACD向上穿越信号线）= 买入信号 - 死叉（MACD向下穿越信号线）= 卖出信号 4. **用直方图确认** - 直方图增加 = 趋势加强 - 直方图减少 = 趋势减弱 #### 背离交易 1. **启用两个背离系统** - 直方图背离（早期信号） - MACD线背离（确认） 2. **等待背离信号** - "H涨"或"H跌" = 早期警告 - "M涨"或"M跌" = 确认 3. **最佳背离** - 直方图和MACD线都显示背离 - 在关键支撑/阻力水平的背离 - 同一趋势上多个背离 4. **入场时机** - 等待价格结构突破 - 确认后回调时进入 - 使用MACD交叉作为触发 #### 多时间框架分析 1. **设置更高时间框架** - 示例：在1小时图上显示4小时MACD - 取消勾选"使用当前图表周期" - 选择所需时间框架 2. **识别更高TF趋势** - MACD相对于零线的位置 - MACD与信号线的关系 3. **顺HTF方向交易** - 仅在HTF MACD看涨时接受多头信号 - 仅在HTF MACD看跌时接受空头信号 4. **使用当前TF入场** - 更高TF确定偏向 - 当前TF精确定时 #### 直方图分析 1. **启用4色直方图** - 观察颜色转换 - 深色 = 强动量 - 浅色 = 动量减弱 2. **动量阶段** - 深绿色→浅绿色 = 看涨失去动力 - 浅红色→深红色 = 看跌获得力量 3. **交易转换** - 浅绿色到浅红色 = 动量转变（潜在反转） - 确认交叉时入场 ### 交易策略 #### 策略1：经典MACD交叉 **设置：** - 标准设置（13/34/9） - 启用MACD、信号线和交叉标记 - 更高时间框架明确趋势 **入场：** - **多头**：零线上方金叉（圆点标记） - **空头**：零线下方死叉（圆点标记） **确认：** - 直方图颜色支持方向 - 成交量增加有帮助 **止损：** - 近期波动低点之下（多头） - 近期波动高点之上（空头） **离场：** - 相反交叉 - MACD反向穿越零线 **适合：**趋势跟随、明确趋势市场 #### 策略2：零线反弹 **设置：** - 启用所有组件 - 已建立趋势（MACD保持在零线一侧） - 等待回调至零线 **入场：** - **多头**：MACD从上方触及零线，向上反弹并金叉 - **空头**：MACD从下方触及零线，向下反弹并死叉 **确认：** - 直方图颜色变化 - 价格在支撑/阻力位 **止损：** - 零线对面一侧 **离场：** - 目标前一极值 - 或相反交叉 **适合：**趋势延续、强势市场 #### 策略3：双重背离确认 **设置：** - 启用直方图和MACD线背离 - 价格在极值（高点/低点） - 等待背离信号 **入场：** - **多头**："H涨"和"M涨"标签都出现 - **空头**："H跌"和"M跌"标签都出现 **确认：** - 价格突破结构 - 成交量增加 - 金叉/死叉确认 **止损：** - 背离枢轴点之外 **离场：** - MACD穿越零线 - 或出现相反背离 **适合：**反转交易、波段交易 #### 策略4：直方图颜色转换 **设置：** - 启用4色直方图 - 关注颜色变化 - 价格处于趋势 **入场：** - **多头**：浅红色→浅绿色转换 + 金叉 - **空头**：浅绿色→浅红色转换 + 死叉 **原理：** - 浅色显示动量衰竭 - 颜色翻转 = 动量转变 - 完全趋势反转前的早期入场 **止损：** - 近期波动点 **离场：** - 直方图颜色变为反向浅色 - 或预定目标 **适合：**剥头皮、日内交易、早期入场 #### 策略5：多时间框架动量 **设置：** - 显示更高时间框架MACD（例如，在1小时图上显示4小时） - 当前图表显示当前动量 - 更高TF显示整体偏向 **入场：** - **多头**：HTF MACD在零线上方 + 当前TF金叉 - **空头**：HTF MACD在零线下方 + 当前TF死叉 **确认：** - HTF直方图支持方向 - 两个时间框架对齐 **止损：** - 基于当前时间框架结构 **离场：** - 当前TF相反交叉 - 或HTF MACD动量减弱 **适合：**波段交易、高概率设置 #### 策略6：仅直方图背离侦察 **设置：** - 仅启用直方图背离 - 使用"同符号要求" - 关注早期信号 **入场：** - **多头**："H涨"标签 + 价格在支撑位 - **空头**："H跌"标签 + 价格在阻力位 **确认：** - 等待MACD/信号线交叉 - 或价格结构突破 **优势：** - 最早的背离信号 - 在大众之前进入 **风险：** - 比MACD线背离假信号更多 - 需要严格确认 **止损：** - 入场K线之外紧密止损 **离场：** - 快速目标（预期波动的30-50%） - 或移动止损 **适合：**活跃交易者、寻求早期入场的剥头皮交易者 ### 最佳实践 #### MACD周期选择 **标准（13/34/9）** - 默认 - 大多数市场的平衡 - 适合日内交易和波段交易 - 广泛使用，符合一般市场心理 **更快（8/21/5或12/26/9）** - 更灵敏 - 更多信号，更多噪音 - 最适合：剥头皮、波动市场 - 风险：更多假信号 **更慢（21/55/13）** - 更平滑的信号 - 信号较少但更强 - 最适合：波段交易、仓位交易 - 优势：更高可靠性 #### 直方图vs MACD线背离 **直方图背离：** - ✅ 更早信号 - ✅ 在其他人之前捕捉波动 - ❌ 更多假信号 - ❌ 需要确认 - **最适合**：活跃交易者、剥头皮交易者 **MACD线背离：** - ✅ 更可靠 - ✅ 更强的背离 - ❌ 信号较晚 - ❌ 可能错过早期波动 - **最适合**：波段交易者、保守交易者 **两者结合：** - ✅ 最大信心 - ✅ 直方图警报，MACD确认 - ✅ 最高概率设置 - **最适合**：所有寻求质量而非数量的交易者 #### 同符号要求功能 **启用（推荐）：** - 过滤低质量背离 - 顶背离：两个直方图点都为正 - 底背离：两个直方图点都为负 - 产生更少但更可靠的信号 **禁用：** - 更多背离信号 - 包括零线穿越背离 - 假信号率更高 - 仅适合有经验的交易者 #### 价格参考：影线vs实体 **影线（默认）：** - 使用最高/最低价 - 捕捉所有极值 - 检测到更多背离 - 最适合：大多数交易风格 **实体：** - 使用开盘/收盘价 - 过滤突刺波动 - 背离更少但更干净 - 最适合：噪音市场、加密货币 #### 视觉设置建议 **新手：** - 启用：MACD线、信号线、直方图 - 启用：交叉标记 - 启用：直方图颜色 - 禁用：初始禁用两个背离系统 - 重点：先学习基本交叉 **中级：** - 所有基本组件 - 添加：仅直方图背离 - 使用：同符号要求 - 重点：早期反转信号 **高级：** - 所有组件 - 两个背离系统 - 每个市场自定义参数 - 多时间框架分析 - 重点：高概率汇合设置 ### 指标组合 **与移动平均线（EMA）配合：** - EMA（21/55/144）显示趋势 - MACD显示动量 - 两者一致时进入 - MACD先转向时退出 **与RSI配合：** - RSI用于超买超卖 - MACD用于动量确认 - 两者都背离 = 极强信号 - RSI + MACD背离 = 高概率交易 **与成交量配合：** - 成交量确认MACD信号 - 交叉 + 成交量激增 = 有效突破 - 背离 + 成交量背离 = 强反转 **与支撑/阻力配合：** - 支撑阻力水平用于进出目标 - 水平处的MACD背离 = 最高概率 - 水平处的MACD交叉 = 强确认 **与Bias指标配合：** - Bias显示价格相对EMA的偏离 - MACD显示动量 - 两者都背离 = 强大反转信号 - Bias极值 + MACD背离 = 高信念交易 **与OBV配合：** - OBV显示成交量趋势 - MACD显示价格动量 - OBV + MACD背离 = 成交量不支持价格 - 强反转迹象 **与KSI（RSI/CCI）配合：** - KSI用于振荡器极值 - MACD用于动量方向 - KSI极值 + MACD背离 = 可能反转 - 全部对齐 = 最大信心 ### 常见MACD形态 1. **零线上方看涨交叉**：强上升趋势延续信号 2. **零线下方看跌交叉**：强下降趋势延续信号 3. **零线拒绝**：价格将零线作为支撑/阻力 4. **直方图峰值**：动量高潮，注意反转 5. **双重背离**：两次背离未反转 = 最终反转时非常强 6. **直方图收敛**：直方图变窄 = 趋势失去动力 7. **信号线紧贴**：MACD紧贴信号线 = 盘整，预期突破 ### 性能提示 - 从默认设置开始（13/34/9 EMA/EMA） - 一次测试一个背离系统 - 初始使用同符号要求 - 启用交叉标记以获得清晰信号 - 根据市场波动性调整回溯参数 - 更高时间框架MACD比更低的更可靠 - 结合直方图早期信号与MACD线确认 - 不要交易每个背离 - 等待最佳设置 ### 警报条件 虽然没有明确编码，但您可以设置自定义警报： - MACD向上/向下穿越信号线 - MACD向上/向下穿越零线 - 直方图穿越零线 - 背离标签出现时（使用视觉警报） --- ## Technical Support For questions or issues, please refer to the TradingView community or contact the indicator creator. ## 技术支持 如有问题，请参考TradingView社区或联系指标创建者。
Indicatore Pine Script®
di lwmxmpyp
Scout Regiment - KSI# Scout Regiment - KSI Indicator ## English Documentation ### Overview Scout Regiment - KSI (Key Stochastic Indicators) is a comprehensive momentum oscillator that combines three powerful technical indicators - RSI, CCI, and Williams %R - into a single, unified display. This multi-indicator approach provides traders with diverse perspectives on market momentum, overbought/oversold conditions, and potential reversal points through advanced divergence detection. ### What is KSI? KSI stands for "Key Stochastic Indicators" - a composite momentum indicator that: - Displays multiple oscillators normalized to a 0-100 scale - Uses standardized bands (20/50/80) for consistent interpretation - Combines RSI for trend, CCI for cycle, and Williams %R for reversal detection - Provides enhanced divergence detection specifically for RSI ### Key Features #### 1. **Triple Oscillator System** **① RSI (Relative Strength Index)** - Primary Indicator - **Purpose**: Measures momentum and identifies overbought/oversold conditions - **Default Length**: 22 periods - **Display**: Blue line (2px) - **Key Levels**: - Above 50: Bullish momentum - Below 50: Bearish momentum - Above 80: Overbought - Below 20: Oversold - **Special Features**: - Background color indication (green/red) - Crossover labels at 50 level - Full divergence detection (4 types) **② CCI (Commodity Channel Index)** - Dual Period - **Purpose**: Identifies cyclical trends and extreme conditions - **Dual Display**: - CCI(33): Short-term cycle - Green line (1px) - CCI(77): Medium-term cycle - Orange line (1px) - **Default Source**: HLC3 (typical price) - **Normalized Scale**: Mapped from ±100 to 0-100 for consistency - **Interpretation**: - Above 80: Strong upward momentum - Below 20: Strong downward momentum - 50 level: Neutral - Divergence between periods: Trend change warning **③ Williams %R** - Optional - **Purpose**: Identifies overbought/oversold extremes - **Default Length**: 28 periods - **Display**: Magenta line (2px) - **Scale**: Inverted and normalized to 0-100 - **Best For**: Short-term reversal signals - **Default**: Disabled (enable when needed for extra confirmation) #### 2. **Standardized Band System** **Three-Level Structure:** - **Upper Band (80)**: Overbought zone - Strong momentum area - Watch for reversal signals - Divergences here are most reliable - **Middle Line (50)**: Equilibrium - Separates bullish/bearish zones - Crossovers indicate momentum shifts - Key decision level - **Lower Band (20)**: Oversold zone - Weak momentum area - Look for bounce signals - Divergences here signal potential reversals **Band Fill**: Dark background between 20-80 for visual clarity #### 3. **RSI Visual Enhancements** **Background Color Indication** - Green background: RSI above 50 (bullish bias) - Red background: RSI below 50 (bearish bias) - Optional display for cleaner charts - Helps identify overall momentum direction **Crossover Labels** - "突破" (Breakout): RSI crosses above 50 - "跌破" (Breakdown): RSI crosses below 50 - Marks momentum shift points - Can be toggled on/off #### 4. **Advanced RSI Divergence Detection** The indicator includes comprehensive divergence detection for RSI only (most reliable oscillator): **Regular Bullish Divergence (Yellow)** - **Price**: Lower lows - **RSI**: Higher lows - **Signal**: Potential upward reversal - **Label**: "涨" (Up) - **Most Common**: Near oversold levels (below 30) **Regular Bearish Divergence (Blue)** - **Price**: Higher highs - **RSI**: Lower highs - **Signal**: Potential downward reversal - **Label**: "跌" (Down) - **Most Common**: Near overbought levels (above 70) **Hidden Bullish Divergence (Light Yellow)** - **Price**: Higher lows - **RSI**: Lower lows - **Signal**: Uptrend continuation - **Label**: "隐涨" (Hidden Up) - **Use**: Add to existing longs **Hidden Bearish Divergence (Light Blue)** - **Price**: Lower highs - **RSI**: Higher highs - **Signal**: Downtrend continuation - **Label**: "隐跌" (Hidden Down) - **Use**: Add to existing shorts **Divergence Parameters** (Fully Customizable): - **Right Lookback**: Bars to right of pivot (default: 5) - **Left Lookback**: Bars to left of pivot (default: 5) - **Max Range**: Maximum bars between pivots (default: 60) - **Min Range**: Minimum bars between pivots (default: 5) ### Configuration Settings #### KSI Display Settings - **Show RSI**: Toggle RSI indicator - **Show CCI**: Toggle both CCI lines - **Show Williams %R**: Toggle Williams %R (optional) #### RSI Settings - **RSI Length**: Period for calculation (default: 22) - **Data Source**: Price source (default: close) - **Show Background**: Toggle green/red background - **Show Cross Labels**: Toggle 50-level crossover labels #### RSI Divergence Settings - **Right Lookback**: Pivot detection right side - **Left Lookback**: Pivot detection left side - **Max Range**: Maximum lookback distance - **Min Range**: Minimum lookback distance - **Show Regular Divergence**: Enable regular divergence lines - **Show Regular Labels**: Enable regular divergence labels - **Show Hidden Divergence**: Enable hidden divergence lines - **Show Hidden Labels**: Enable hidden divergence labels #### CCI Settings - **CCI Length**: Short-term period (default: 33) - **CCI Mid Length**: Medium-term period (default: 77) - **Data Source**: Price calculation (default: HLC3) - **Show CCI(33)**: Toggle short-term CCI - **Show CCI(77)**: Toggle medium-term CCI #### Williams %R Settings - **Length**: Calculation period (default: 28) - **Data Source**: Price source (default: close) ### How to Use #### For Basic Momentum Trading 1. **Enable RSI Only** (primary indicator) - Focus on 50-level crossovers - Enable crossover labels for signals 2. **Identify Momentum Direction** - RSI > 50 = Bullish momentum - RSI < 50 = Bearish momentum - Background color confirms direction 3. **Look for Extremes** - RSI > 80 = Overbought (consider selling) - RSI < 20 = Oversold (consider buying) 4. **Trade Setup** - Enter long when RSI crosses above 50 from oversold - Enter short when RSI crosses below 50 from overbought #### For Divergence Trading 1. **Enable RSI with Divergence Detection** - Turn on regular divergence - Optionally add hidden divergence 2. **Wait for Divergence Signal** - Yellow label = Bullish divergence - Blue label = Bearish divergence 3. **Confirm with Price Structure** - Wait for support/resistance break - Look for candlestick patterns - Check volume confirmation 4. **Enter Position** - Enter after confirmation - Stop beyond divergence pivot - Target next key level #### For Multi-Oscillator Confirmation 1. **Enable All Three Indicators** - RSI (momentum) - CCI dual (cycle analysis) - Williams %R (extremes) 2. **Look for Alignment** - All above 50 = Strong bullish - All below 50 = Strong bearish - Mixed signals = Consolidation 3. **Identify Extremes** - All indicators > 80 = Extreme overbought - All indicators < 20 = Extreme oversold 4. **Trade Reversals** - Enter counter-trend when all aligned at extremes - Confirm with divergence if available - Use tight stops #### For CCI Dual-Period Analysis 1. **Enable Both CCI Lines** - CCI(33) = Short-term - CCI(77) = Medium-term 2. **Watch for Crossovers** - Green crosses above orange = Bullish acceleration - Green crosses below orange = Bearish acceleration 3. **Analyze Divergence Between Periods** - Short-term rising, medium falling = Potential reversal - Both rising together = Strong trend 4. **Trade Accordingly** - Follow crossover direction - Exit when lines converge ### Trading Strategies #### Strategy 1: RSI 50-Level Crossover **Setup:** - Enable RSI with background and labels - Wait for clear trend - Look for retracement to 50 level **Entry:** - Long: "突破" label appears after pullback - Short: "跌破" label appears after bounce **Stop Loss:** - Long: Below recent swing low - Short: Above recent swing high **Exit:** - Opposite crossover label - Or predetermined target (2:1 risk-reward) **Best For:** Trend following, clear markets #### Strategy 2: RSI Divergence Reversal **Setup:** - Enable RSI with regular divergence - Wait for extreme levels (>70 or <30) - Look for divergence signal **Entry:** - Long: Yellow "涨" label at oversold level - Short: Blue "跌" label at overbought level **Confirmation:** - Wait for price to break structure - Check for volume increase - Look for candlestick reversal pattern **Stop Loss:** - Beyond divergence pivot point **Exit:** - Take partial profit at 50 level - Exit remainder at opposite extreme or divergence **Best For:** Swing trading, range-bound markets #### Strategy 3: Triple Oscillator Confluence **Setup:** - Enable all three indicators - Wait for all to reach extreme (>80 or <20) - Look for alignment **Entry:** - Long: All three below 20, first one crosses above 20 - Short: All three above 80, first one crosses below 80 **Confirmation:** - All indicators must align - Price at support/resistance - Volume spike helps **Stop Loss:** - Fixed percentage or ATR-based **Exit:** - When any indicator crosses 50 level - Or at predetermined target **Best For:** High-probability reversals, volatile markets #### Strategy 4: CCI Dual-Period System **Setup:** - Enable both CCI lines only - Disable RSI and Williams %R for clarity - Watch for crossovers **Entry:** - Long: CCI(33) crosses above CCI(77) below 50 line - Short: CCI(33) crosses below CCI(77) above 50 line **Confirmation:** - Both should be moving in entry direction - Price breaking key level helps **Stop Loss:** - When CCIs cross back in opposite direction **Exit:** - Both CCIs enter opposite extreme zone - Or trailing stop **Best For:** Catching trend continuations, momentum trading #### Strategy 5: Hidden Divergence Continuation **Setup:** - Enable RSI with hidden divergence - Confirm existing trend - Wait for pullback **Entry:** - Uptrend: "隐涨" label during pullback - Downtrend: "隐跌" label during bounce **Confirmation:** - Price holds key moving average - Trend structure intact **Stop Loss:** - Beyond pullback extreme **Exit:** - Regular divergence appears (reversal warning) - Or trend structure breaks **Best For:** Adding to positions, trend trading ### Best Practices #### Choosing Which Indicators to Display **For Beginners:** - Use RSI only - Enable background color and labels - Focus on 50-level crossovers - Simple and effective **For Intermediate Traders:** - RSI + Regular Divergence - Add CCI for confirmation - Use dual perspectives - Better accuracy **For Advanced Traders:** - All three indicators - Full divergence detection - Multi-timeframe analysis - Maximum information #### Oscillator Priority **Primary**: RSI (22) - Most reliable - Best divergence detection - Good for all timeframes - Use this as your main decision maker **Secondary**: CCI (33/77) - Adds cycle analysis - Great for confirmation - Dual-period crossovers valuable - Use to confirm RSI signals **Tertiary**: Williams %R (28) - Extreme readings useful - More volatile - Best for short-term - Use sparingly for extra confirmation #### Timeframe Considerations **Lower Timeframes (1m-15m):** - More signals, less reliable - Use tight divergence parameters - Focus on RSI crossovers - Quick entries and exits **Medium Timeframes (30m-4H):** - Balanced signal frequency - Default settings work well - Best for divergence trading - Swing trading optimal **Higher Timeframes (Daily+):** - Fewer but stronger signals - Widen divergence ranges - All indicators more reliable - Position trading best #### Divergence Trading Tips 1. **Wait for Confirmation** - Divergence alone isn't enough - Need price structure break - Volume helps validate 2. **Best at Extremes** - Divergences near 80/20 levels most reliable - Mid-level divergences often fail - Combine with support/resistance 3. **Multiple Divergences** - Second divergence stronger than first - Third divergence extremely powerful - Watch for "triple divergence" 4. **Timeframe Alignment** - Check higher timeframe for direction - Trade divergences in direction of larger trend - Counter-trend divergences riskier ### Indicator Combinations **With Moving Averages:** - Use EMAs (21/55/144) for trend - KSI for entry timing - Enter when both align **With Volume:** - Volume confirms breakouts - Divergence + volume divergence = Stronger - Low volume at extremes = Reversal likely **With Support/Resistance:** - Price levels for targets - KSI for entry timing - Divergences at levels = Highest probability **With Bias Indicator:** - Bias shows price deviation - KSI shows momentum - Both diverging = Strong reversal signal **With OBV Indicator:** - OBV shows volume trend - KSI shows price momentum - Volume/momentum divergence powerful ### Common Patterns 1. **Bullish Reversal**: All oscillators oversold + RSI bullish divergence 2. **Bearish Reversal**: All oscillators overbought + RSI bearish divergence 3. **Trend Acceleration**: RSI > 50, both CCIs rising, Williams %R not extreme 4. **Weakening Trend**: RSI declining while price rising (pre-divergence warning) 5. **Strong Trend**: All oscillators stay above/below 50 for extended period 6. **Consolidation**: Oscillators crossing 50 frequently without extremes 7. **Exhaustion**: Multiple oscillators at extreme + hidden divergence failure ### Performance Tips - Start simple: RSI only - Add indicators gradually as you learn - Disable unused features for cleaner charts - Use labels strategically (not always on) - Test different RSI lengths for your market - Adjust divergence parameters based on volatility ### Alert Conditions The indicator includes alerts for: - RSI crossing above 50 - RSI crossing below 50 - RSI regular bullish divergence - RSI regular bearish divergence - RSI hidden bullish divergence - RSI hidden bearish divergence --- ## 中文说明文档 ### 概述 Scout Regiment - KSI（关键随机指标）是一个综合性动量振荡器，将三个强大的技术指标 - RSI、CCI和威廉指标 - 组合到一个统一的显示中。这种多指标方法为交易者提供了市场动量、超买超卖状况和通过高级背离检测发现潜在反转点的多元视角。 ### 什么是KSI？ KSI代表"关键随机指标" - 一个综合动量指标： - 显示多个振荡器，标准化到0-100刻度 - 使用标准化波段（20/50/80）便于一致解读 - 结合RSI用于趋势、CCI用于周期、威廉指标用于反转检测 - 专门为RSI提供增强的背离检测 ### 核心功能 #### 1. **三重振荡器系统** **① RSI（相对强弱指数）** - 主要指标 - **用途**：测量动量并识别超买超卖状况 - **默认长度**：22周期 - **显示**：蓝色线（2像素） - **关键水平**： - 50以上：看涨动量 - 50以下：看跌动量 - 80以上：超买 - 20以下：超卖 - **特殊功能**： - 背景颜色指示（绿色/红色） - 50水平穿越标签 - 完整背离检测（4种类型） **② CCI（顺势指标）** - 双周期 - **用途**：识别周期性趋势和极端状况 - **双重显示**： - CCI(33)：短期周期 - 绿色线（1像素） - CCI(77)：中期周期 - 橙色线（1像素） - **默认数据源**：HLC3（典型价格） - **标准化刻度**：从±100映射到0-100以保持一致性 - **解读**： - 80以上：强劲上升动量 - 20以下：强劲下降动量 - 50水平：中性 - 周期间背离：趋势变化警告 **③ 威廉指标 %R** - 可选 - **用途**：识别超买超卖极值 - **默认长度**：28周期 - **显示**：洋红色线（2像素） - **刻度**：反转并标准化到0-100 - **最适合**：短期反转信号 - **默认**：禁用（需要额外确认时启用） #### 2. **标准化波段系统** **三层结构：** - **上轨（80）**：超买区域 - 强动量区域 - 注意反转信号 - 此处的背离最可靠 - **中线（50）**：均衡线 - 分隔看涨/看跌区域 - 穿越表示动量转变 - 关键决策水平 - **下轨（20）**：超卖区域 - 弱动量区域 - 寻找反弹信号 - 此处的背离预示潜在反转 **波段填充**：20-80之间的深色背景，增强视觉清晰度 #### 3. **RSI视觉增强** **背景颜色指示** - 绿色背景：RSI在50以上（看涨偏向） - 红色背景：RSI在50以下（看跌偏向） - 可选显示，图表更清爽 - 帮助识别整体动量方向 **穿越标签** - "突破"：RSI向上穿越50 - "跌破"：RSI向下穿越50 - 标记动量转变点 - 可开关 #### 4. **高级RSI背离检测** 指标仅为RSI（最可靠的振荡器）提供全面背离检测： **常规看涨背离（黄色）** - **价格**：更低的低点 - **RSI**：更高的低点 - **信号**：潜在向上反转 - **标签**："涨" - **最常见**：在超卖水平附近（30以下） **常规看跌背离（蓝色）** - **价格**：更高的高点 - **RSI**：更低的高点 - **信号**：潜在向下反转 - **标签**："跌" - **最常见**：在超买水平附近（70以上） **隐藏看涨背离（浅黄色）** - **价格**：更高的低点 - **RSI**：更低的低点 - **信号**：上升趋势延续 - **标签**："隐涨" - **用途**：加仓现有多头 **隐藏看跌背离（浅蓝色）** - **价格**：更低的高点 - **RSI**：更高的高点 - **信号**：下降趋势延续 - **标签**："隐跌" - **用途**：加仓现有空头 **背离参数**（完全可自定义）： - **右侧回溯**：枢轴点右侧K线数（默认：5） - **左侧回溯**：枢轴点左侧K线数（默认：5） - **最大范围**：枢轴点之间最大K线数（默认：60） - **最小范围**：枢轴点之间最小K线数（默认：5） ### 配置设置 #### KSI显示设置 - **显示RSI**：切换RSI指标 - **显示CCI**：切换两条CCI线 - **显示威廉指标 %R**：切换威廉指标（可选） #### RSI设置 - **RSI长度**：计算周期（默认：22） - **数据源**：价格源（默认：收盘价） - **显示背景**：切换绿色/红色背景 - **显示穿越标签**：切换50水平穿越标签 #### RSI背离设置 - **右侧回溯**：枢轴检测右侧 - **左侧回溯**：枢轴检测左侧 - **回溯范围最大值**：最大回溯距离 - **回溯范围最小值**：最小回溯距离 - **显示常规背离**：启用常规背离线 - **显示常规背离标签**：启用常规背离标签 - **显示隐藏背离**：启用隐藏背离线 - **显示隐藏背离标签**：启用隐藏背离标签 #### CCI设置 - **CCI长度**：短期周期（默认：33） - **CCI中期长度**：中期周期（默认：77） - **数据源**：价格计算（默认：HLC3） - **显示CCI(33)**：切换短期CCI - **显示CCI(77)**：切换中期CCI #### 威廉指标 %R 设置 - **长度**：计算周期（默认：28） - **数据源**：价格源（默认：收盘价） ### 使用方法 #### 基础动量交易 1. **仅启用RSI**（主要指标） - 关注50水平穿越 - 启用穿越标签获取信号 2. **识别动量方向** - RSI > 50 = 看涨动量 - RSI < 50 = 看跌动量 - 背景颜色确认方向 3. **寻找极值** - RSI > 80 = 超买（考虑卖出） - RSI < 20 = 超卖（考虑买入） 4. **交易设置** - RSI从超卖区向上穿越50时做多 - RSI从超买区向下穿越50时做空 #### 背离交易 1. **启用RSI和背离检测** - 打开常规背离 - 可选添加隐藏背离 2. **等待背离信号** - 黄色标签 = 看涨背离 - 蓝色标签 = 看跌背离 3. **用价格结构确认** - 等待支撑/阻力突破 - 寻找K线形态 - 检查成交量确认 4. **进入仓位** - 确认后进入 - 止损设在背离枢轴点之外 - 目标下一个关键水平 #### 多振荡器确认 1. **启用全部三个指标** - RSI（动量） - CCI双周期（周期分析） - 威廉指标 %R（极值） 2. **寻找一致性** - 全部在50以上 = 强劲看涨 - 全部在50以下 = 强劲看跌 - 信号混合 = 盘整 3. **识别极值** - 所有指标 > 80 = 极度超买 - 所有指标 < 20 = 极度超卖 4. **交易反转** - 所有指标在极值一致时逆势进入 - 可能的话用背离确认 - 使用紧密止损 #### CCI双周期分析 1. **启用两条CCI线** - CCI(33) = 短期 - CCI(77) = 中期 2. **观察穿越** - 绿色线穿越橙色线向上 = 看涨加速 - 绿色线穿越橙色线向下 = 看跌加速 3. **分析周期间背离** - 短期上升，中期下降 = 潜在反转 - 两者同时上升 = 强趋势 4. **相应交易** - 跟随穿越方向 - 线条汇合时退出 ### 交易策略 #### 策略1：RSI 50水平穿越 **设置：** - 启用RSI及背景和标签 - 等待明确趋势 - 寻找回调至50水平 **入场：** - 多头：回调后出现"突破"标签 - 空头：反弹后出现"跌破"标签 **止损：** - 多头：近期波动低点之下 - 空头：近期波动高点之上 **离场：** - 出现相反穿越标签 - 或预定目标（2:1风险收益比） **适合：**趋势跟随、明确市场 #### 策略2：RSI背离反转 **设置：** - 启用RSI和常规背离 - 等待极端水平（>70或<30） - 寻找背离信号 **入场：** - 多头：超卖水平出现黄色"涨"标签 - 空头：超买水平出现蓝色"跌"标签 **确认：** - 等待价格突破结构 - 检查成交量增加 - 寻找K线反转形态 **止损：** - 背离枢轴点之外 **离场：** - 在50水平部分获利 - 其余在相反极值或背离处离场 **适合：**波段交易、震荡市场 #### 策略3：三重振荡器汇合 **设置：** - 启用全部三个指标 - 等待全部达到极值（>80或<20） - 寻找一致性 **入场：** - 多头：三个全部低于20，第一个向上穿越20 - 空头：三个全部高于80，第一个向下穿越80 **确认：** - 所有指标必须一致 - 价格在支撑/阻力位 - 成交量激增有帮助 **止损：** - 固定百分比或基于ATR **离场：** - 任一指标穿越50水平时 - 或在预定目标 **适合：**高概率反转、波动市场 #### 策略4：CCI双周期系统 **设置：** - 仅启用两条CCI线 - 禁用RSI和威廉指标以保持清晰 - 观察穿越 **入场：** - 多头：CCI(33)在50线下方向上穿越CCI(77) - 空头：CCI(33)在50线上方向下穿越CCI(77) **确认：** - 两者都应朝入场方向移动 - 价格突破关键水平有帮助 **止损：** - CCI反向穿越时 **离场：** - 两条CCI进入相反极值区域 - 或移动止损 **适合：**捕捉趋势延续、动量交易 #### 策略5：隐藏背离延续 **设置：** - 启用RSI和隐藏背离 - 确认现有趋势 - 等待回调 **入场：** - 上升趋势：回调期间出现"隐涨"标签 - 下降趋势：反弹期间出现"隐跌"标签 **确认：** - 价格守住关键移动平均线 - 趋势结构完整 **止损：** - 回调极值之外 **离场：** - 出现常规背离（反转警告） - 或趋势结构破坏 **适合：**加仓、趋势交易 ### 最佳实践 #### 选择显示哪些指标 **新手：** - 仅使用RSI - 启用背景颜色和标签 - 关注50水平穿越 - 简单有效 **中级交易者：** - RSI + 常规背离 - 添加CCI确认 - 使用双重视角 - 更高准确度 **高级交易者：** - 全部三个指标 - 完整背离检测 - 多时间框架分析 - 信息最大化 #### 振荡器优先级 **主要**：RSI (22) - 最可靠 - 最佳背离检测 - 适用所有时间框架 - 用作主要决策依据 **次要**：CCI (33/77) - 添加周期分析 - 确认效果好 - 双周期穿越有价值 - 用于确认RSI信号 **第三**：威廉指标 %R (28) - 极值读数有用 - 更波动 - 最适合短期 - 谨慎使用以获额外确认 #### 时间框架考虑 **低时间框架（1分钟-15分钟）：** - 更多信号，可靠性较低 - 使用紧密背离参数 - 关注RSI穿越 - 快速进出 **中等时间框架（30分钟-4小时）：** - 信号频率平衡 - 默认设置效果好 - 最适合背离交易 - 波段交易最优 **高时间框架（日线+）：** - 信号较少但更强 - 扩大背离范围 - 所有指标更可靠 - 最适合仓位交易 #### 背离交易技巧 1. **等待确认** - 仅背离不够 - 需要价格结构突破 - 成交量帮助验证 2. **极值处最佳** - 80/20水平附近的背离最可靠 - 中间水平背离常失败 - 结合支撑/阻力 3. **多重背离** - 第二次背离强于第一次 - 第三次背离极其强大 - 注意"三重背离" 4. **时间框架对齐** - 检查更高时间框架方向 - 顺大趋势方向交易背离 - 逆势背离风险更大 ### 指标组合 **与移动平均线配合：** - 使用EMA（21/55/144）确定趋势 - KSI用于入场时机 - 两者一致时进入 **与成交量配合：** - 成交量确认突破 - 背离 + 成交量背离 = 更强 - 极值处低成交量 = 可能反转 **与支撑/阻力配合：** - 价格水平作为目标 - KSI用于入场时机 - 水平处的背离 = 最高概率 **与Bias指标配合：** - Bias显示价格偏离 - KSI显示动量 - 两者都背离 = 强反转信号 **与OBV指标配合：** - OBV显示成交量趋势 - KSI显示价格动量 - 成交量/动量背离强大 ### 常见形态 1. **看涨反转**：所有振荡器超卖 + RSI看涨背离 2. **看跌反转**：所有振荡器超买 + RSI看跌背离 3. **趋势加速**：RSI > 50，两条CCI上升，威廉指标不极端 4. **趋势减弱**：价格上升时RSI下降（背离前警告） 5. **强趋势**：所有振荡器长时间保持在50上方/下方 6. **盘整**：振荡器频繁穿越50无极值 7. **衰竭**：多个振荡器在极值 + 隐藏背离失败 ### 性能提示 - 从简单开始：仅RSI - 学习时逐渐添加指标 - 禁用未使用功能以保持图表清晰 - 策略性使用标签（不总是开启） - 为您的市场测试不同RSI长度 - 根据波动性调整背离参数 ### 警报条件 指标包含以下警报： - RSI向上穿越50 - RSI向下穿越50 - RSI常规看涨背离 - RSI常规看跌背离 - RSI隐藏看涨背离 - RSI隐藏看跌背离 --- ## Technical Support For questions or issues, please refer to the TradingView community or contact the indicator creator. ## 技术支持 如有问题，请参考TradingView社区或联系指标创建者。
Indicatore Pine Script®
di lwmxmpyp
Scout Regiment - OBV# Scout Regiment - OBV Indicator ## English Documentation ### Overview Scout Regiment - OBV (On-Balance Volume) is an advanced momentum indicator that combines volume and price movement to identify the strength of buying and selling pressure. This indicator features an oscillator-based approach with divergence detection to help traders spot potential trend reversals and confirm price movements. ### What is OBV? On-Balance Volume (OBV) is a cumulative volume indicator that adds volume on up days and subtracts volume on down days: - **Rising OBV**: Accumulation (buying pressure) - **Falling OBV**: Distribution (selling pressure) - **OBV Oscillator**: The difference between OBV and its smoothed moving average, making divergences easier to spot ### Key Features #### 1. **OBV Oscillator Display** Instead of displaying raw OBV values, this indicator shows the oscillator (difference between OBV and its smoothed line): **Benefits:** - Easier to identify divergences - Clearer trend changes - More sensitive to momentum shifts - Zero line as reference point **Visual Elements:** - **Step Line**: Main OBV oscillator line - Green: Positive oscillator (accumulation) - Red: Negative oscillator (distribution) - **Histogram**: Visual representation of oscillator strength - Green bars: Above zero line - Red bars: Below zero line - **Zero Line**: White dotted horizontal line as reference #### 2. **Smoothing Options** Choose from multiple moving average types to smooth the OBV: - **None**: Raw OBV (most sensitive) - **SMA**: Simple Moving Average (equal weight) - **EMA**: Exponential Moving Average (recent price emphasis) - Default - **SMMA (RMA)**: Smoothed Moving Average (very smooth) - **WMA**: Weighted Moving Average (linear weight) - **VWMA**: Volume Weighted Moving Average (volume emphasis) **Default Settings:** - Type: EMA - Length: 21 periods - Best for: Most market conditions #### 3. **Multi-Timeframe Analysis** - Calculate OBV on any timeframe - View higher timeframe momentum on lower timeframe charts - Align trades with larger timeframe volume trends - Empty field = Current chart timeframe #### 4. **Visual Enhancements** **Background Color** - Light green: Positive oscillator (bullish volume pressure) - Light red: Negative oscillator (bearish volume pressure) - Optional display for cleaner charts **Crossover Labels** - "突破" (Breakout): When oscillator crosses above zero - "跌破" (Breakdown): When oscillator crosses below zero - Indicates potential trend changes - Can be toggled on/off #### 5. **Comprehensive Divergence Detection** The indicator automatically detects four types of divergences: **Regular Bullish Divergence (Yellow)** - **Price**: Makes lower lows - **OBV**: Makes higher lows - **Signal**: Potential upward reversal - **Label**: "看涨" (Bullish) - **Use**: Enter long positions **Regular Bearish Divergence (Blue)** - **Price**: Makes higher highs - **OBV**: Makes lower highs - **Signal**: Potential downward reversal - **Label**: "看跌" (Bearish) - **Use**: Enter short positions or exit longs **Hidden Bullish Divergence (Light Yellow)** - **Price**: Makes higher lows - **OBV**: Makes lower lows - **Signal**: Trend continuation (uptrend) - **Label**: "隐藏看涨" (Hidden Bullish) - **Use**: Add to long positions **Hidden Bearish Divergence (Light Blue)** - **Price**: Makes lower highs - **OBV**: Makes higher highs - **Signal**: Trend continuation (downtrend) - **Label**: "隐藏看跌" (Hidden Bearish) - **Use**: Add to short positions #### 6. **Customizable Divergence Detection** **Pivot Lookback Settings:** - **Left Lookback**: Bars to the left of pivot (default: 5) - **Right Lookback**: Bars to the right of pivot (default: 5) - Determines how "extreme" a point must be to qualify as a pivot **Range Settings:** - **Maximum Range**: Maximum bars between pivots (default: 60) - **Minimum Range**: Minimum bars between pivots (default: 5) - Filters out too-close or too-distant divergences **Display Options:** - Toggle regular divergences on/off - Toggle hidden divergences on/off - Toggle divergence labels on/off - Show only the divergences you need ### Configuration Settings #### Smoothing Settings - **Smoothing Type**: Choose MA type (None/SMA/EMA/SMMA/WMA/VWMA) - **Smoothing Length**: Number of periods for smoothing (default: 21) #### Calculation Settings - **Timeframe**: Select calculation timeframe (empty = current chart) #### Display Settings - **Show OBV Line**: Toggle step line display - **Show OBV Histogram**: Toggle histogram display - **Show Background Color**: Toggle background coloring - **Show Crossover Labels**: Toggle breakout/breakdown labels #### Divergence Settings - **Pivot Right Lookback**: Right bars for pivot detection (default: 5) - **Pivot Left Lookback**: Left bars for pivot detection (default: 5) - **Range Maximum**: Max bars between divergences (default: 60) - **Range Minimum**: Min bars between divergences (default: 5) - **Show Regular Divergences**: Enable/disable regular divergences - **Show Regular Labels**: Enable/disable regular divergence labels - **Show Hidden Divergences**: Enable/disable hidden divergences - **Show Hidden Labels**: Enable/disable hidden divergence labels ### How to Use #### For Trend Confirmation 1. **Identify Trend with Price** - Uptrend: Higher highs and higher lows - Downtrend: Lower highs and lower lows 2. **Confirm with OBV Oscillator** - Strong uptrend: OBV oscillator staying positive - Strong downtrend: OBV oscillator staying negative - Weak trend: OBV oscillator frequently crossing zero 3. **Volume Confirmation** - Trend with increasing OBV = Strong trend - Trend with decreasing OBV = Weak trend (watch for reversal) #### For Divergence Trading 1. **Enable Divergence Detection** - Start with regular divergences only - Add hidden divergences for trend continuation 2. **Wait for Divergence Signal** - Yellow label = Potential bullish reversal - Blue label = Potential bearish reversal 3. **Confirm with Price Action** - Wait for support/resistance break - Look for candlestick confirmation - Check higher timeframe alignment 4. **Enter Trade** - Enter after confirmation - Set stop loss beyond recent swing - Target based on previous swing or support/resistance #### For Breakout Trading 1. **Enable Crossover Labels** - Identify when oscillator crosses zero line 2. **Confirm Volume Strength** - Strong breakouts have large oscillator moves - Weak breakouts barely cross zero 3. **Trade Direction** - "突破" label = Enter long - "跌破" label = Enter short 4. **Manage Position** - Exit when oscillator crosses back - Use price structure for stops #### For Multi-Timeframe Analysis 1. **Set Higher Timeframe** - Example: On 15min chart, set timeframe to 1H or 4H 2. **Identify Higher Timeframe Trend** - Positive oscillator = Uptrend bias - Negative oscillator = Downtrend bias 3. **Trade with the Trend** - Only take long signals in uptrend - Only take short signals in downtrend 4. **Time Entries** - Use current timeframe for precise entry - Confirm with higher timeframe direction ### Trading Strategies #### Strategy 1: Regular Divergence Reversal **Setup:** 1. Price in strong trend (up or down) 2. Regular divergence appears 3. Price reaches support/resistance level **Entry:** - Bullish: After "看涨" label, when price breaks above recent high - Bearish: After "看跌" label, when price breaks below recent low **Stop Loss:** - Bullish: Below divergence low - Bearish: Above divergence high **Exit:** - Take profit at next major support/resistance - Or when opposite divergence appears **Best For:** Swing trading, reversal trading #### Strategy 2: Hidden Divergence Continuation **Setup:** 1. Clear trend established 2. Price pulls back (retracement) 3. Hidden divergence appears **Entry:** - Bullish: After "隐藏看涨" label, when price resumes uptrend - Bearish: After "隐藏看跌" label, when price resumes downtrend **Stop Loss:** - Behind the pullback swing point **Exit:** - Trail stop as trend continues - Exit on regular divergence (reversal signal) **Best For:** Trend following, adding to positions #### Strategy 3: Zero Line Crossover **Setup:** 1. Enable crossover labels 2. Oscillator crosses zero line 3. Confirm with price structure break **Entry:** - "突破" label = Buy signal - "跌破" label = Sell signal **Stop Loss:** - Below/above recent swing **Exit:** - When oscillator crosses back over zero - Or at predetermined target **Best For:** Momentum trading, quick trades #### Strategy 4: Multi-Timeframe Confluence **Setup:** 1. Set indicator to higher timeframe (e.g., 4H on 1H chart) 2. Wait for higher TF oscillator to be positive (uptrend) or negative (downtrend) 3. Look for entries on current timeframe aligned with higher TF **Entry:** - Long: When both timeframes show positive oscillator or bullish divergence - Short: When both timeframes show negative oscillator or bearish divergence **Stop Loss:** - Based on current timeframe structure **Exit:** - When higher timeframe oscillator turns negative (for longs) or positive (for shorts) **Best For:** Swing trading, high-probability setups ### Best Practices #### Volume Analysis 1. **Strong Moves Need Volume** - Price increase + Rising OBV = Healthy uptrend - Price increase + Falling OBV = Weak uptrend (warning) 2. **Watch for Confirmation** - New highs with new OBV highs = Confirmed - New highs without new OBV highs = Potential divergence 3. **Consider Context** - Low volume periods (Asian session, holidays) = Less reliable - High volume periods (News, London/NY overlap) = More reliable #### Divergence Trading Tips 1. **Not All Divergences Work** - Wait for price confirmation - Stronger in oversold/overbought areas - Better at support/resistance levels 2. **Multiple Divergences** - Multiple divergences on same trend = Stronger signal - Quick divergence failures = Ignore and wait for next 3. **Timeframe Matters** - Higher timeframe divergences = More reliable - Lower timeframe divergences = More frequent, less reliable #### Smoothing Selection 1. **No Smoothing (None)** - Most sensitive, more signals - More noise, more false signals - Best for: Scalping, very active trading 2. **EMA (Default)** - Balanced approach - Good for most strategies - Best for: Swing trading, day trading 3. **SMMA (RMA)** - Very smooth, fewer signals - Less responsive to sudden changes - Best for: Position trading, longer timeframes ### Indicator Combinations **With Moving Averages:** - Use EMAs for trend direction - OBV for volume confirmation - Enter when both align **With RSI:** - RSI for overbought/oversold - OBV for volume confirmation - Divergences on both = Stronger signal **With Price Action:** - Support/resistance for levels - OBV for strength confirmation - Breakouts with positive OBV = More likely to succeed **With Bias Indicator:** - Bias for price deviation - OBV for volume confirmation - Both showing divergence = High probability reversal ### Common Patterns 1. **Accumulation**: OBV rising while price consolidates (breakout likely) 2. **Distribution**: OBV falling while price consolidates (breakdown likely) 3. **Confirmation**: OBV and price both making new highs/lows (trend strong) 4. **Divergence**: OBV and price moving opposite directions (reversal warning) 5. **False Breakout**: Price breaks but OBV doesn't confirm (likely to fail) ### Performance Tips - Disable unused display features for faster loading - Start with regular divergences only, add hidden later - Use histogram for quick visual reference - Enable crossover labels for clear entry signals - Test different smoothing lengths for your market ### Alert Conditions The indicator includes alerts for: - Regular bullish divergence detected - Regular bearish divergence detected - Hidden bullish divergence detected - Hidden bearish divergence detected **How to Set Alerts:** 1. Click on the indicator name 2. Select "Add Alert" 3. Choose condition 4. Configure notification method --- ## 中文说明文档 ### 概述 Scout Regiment - OBV（能量潮）是一个高级动量指标，结合成交量和价格变动来识别买卖压力的强度。该指标采用振荡器方法并具有背离检测功能，帮助交易者发现潜在的趋势反转并确认价格走势。 ### 什么是OBV？ 能量潮（OBV）是一个累积成交量指标，在上涨日累加成交量，在下跌日减去成交量： - **上升的OBV**：积累（买入压力） - **下降的OBV**：派发（卖出压力） - **OBV振荡器**：OBV与其平滑移动平均线之间的差值，使背离更容易识别 ### 核心功能 #### 1. **OBV振荡器显示** 该指标不显示原始OBV值，而是显示振荡器（OBV与其平滑线之间的差值）： **优势：** - 更容易识别背离 - 趋势变化更清晰 - 对动量变化更敏感 - 零线作为参考点 **视觉元素：** - **阶梯线**：主OBV振荡器线 - 绿色：正振荡器（积累） - 红色：负振荡器（派发） - **柱状图**：振荡器强度的可视化表示 - 绿色柱：零线以上 - 红色柱：零线以下 - **零线**：白色虚线作为参考 #### 2. **平滑选项** 选择多种移动平均类型来平滑OBV： - **None**：原始OBV（最敏感） - **SMA**：简单移动平均（等权重） - **EMA**：指数移动平均（强调近期价格）- 默认 - **SMMA (RMA)**：平滑移动平均（非常平滑） - **WMA**：加权移动平均（线性权重） - **VWMA**：成交量加权移动平均（强调成交量） **默认设置：** - 类型：EMA - 长度：21周期 - 适合：大多数市场状况 #### 3. **多时间框架分析** - 在任何时间框架上计算OBV - 在低时间框架图表上查看高时间框架动量 - 使交易与更大时间框架的成交量趋势保持一致 - 空字段 = 当前图表时间框架 #### 4. **视觉增强** **背景颜色** - 浅绿色：正振荡器（看涨成交量压力） - 浅红色：负振荡器（看跌成交量压力） - 可选显示，图表更清爽 **穿越标签** - "突破"：振荡器向上穿越零线 - "跌破"：振荡器向下穿越零线 - 指示潜在趋势变化 - 可开关 #### 5. **全面的背离检测** 指标自动检测四种类型的背离： **常规看涨背离（黄色）** - **价格**：创新低 - **OBV**：创更高的低点 - **信号**：潜在向上反转 - **标签**："看涨" - **用途**：进入多头仓位 **常规看跌背离（蓝色）** - **价格**：创新高 - **OBV**：创更低的高点 - **信号**：潜在向下反转 - **标签**："看跌" - **用途**：进入空头仓位或退出多头 **隐藏看涨背离（浅黄色）** - **价格**：创更高的低点 - **OBV**：创更低的低点 - **信号**：趋势延续（上升趋势） - **标签**："隐藏看涨" - **用途**：加仓多头 **隐藏看跌背离（浅蓝色）** - **价格**：创更低的高点 - **OBV**：创更高的高点 - **信号**：趋势延续（下降趋势） - **标签**："隐藏看跌" - **用途**：加仓空头 #### 6. **可自定义的背离检测** **枢轴回溯设置：** - **左侧回溯**：枢轴点左侧K线数（默认：5） - **右侧回溯**：枢轴点右侧K线数（默认：5） - 决定一个点要多"极端"才能成为枢轴点 **范围设置：** - **最大范围**：枢轴点之间最大K线数（默认：60） - **最小范围**：枢轴点之间最小K线数（默认：5） - 过滤太近或太远的背离 **显示选项：** - 开关常规背离 - 开关隐藏背离 - 开关背离标签 - 只显示需要的背离 ### 配置设置 #### 平滑设置 - **平滑类型**：选择MA类型（None/SMA/EMA/SMMA/WMA/VWMA） - **平滑长度**：平滑周期数（默认：21） #### 计算设置 - **时间周期**：选择计算时间框架（空 = 当前图表） #### 显示设置 - **显示OBV点线**：切换阶梯线显示 - **显示OBV柱状图**：切换柱状图显示 - **显示背景颜色**：切换背景着色 - **显示突破标签**：切换突破/跌破标签 #### 背离设置 - **枢轴右侧回溯**：枢轴检测右侧K线数（默认：5） - **枢轴左侧回溯**：枢轴检测左侧K线数（默认：5） - **回看范围最大值**：背离之间最大K线数（默认：60） - **回看范围最小值**：背离之间最小K线数（默认：5） - **显示常规背离**：启用/禁用常规背离 - **显示常规背离标签**：启用/禁用常规背离标签 - **显示隐藏背离**：启用/禁用隐藏背离 - **显示隐藏背离标签**：启用/禁用隐藏背离标签 ### 使用方法 #### 趋势确认 1. **用价格识别趋势** - 上升趋势：更高的高点和更高的低点 - 下降趋势：更低的高点和更低的低点 2. **用OBV振荡器确认** - 强劲上升趋势：OBV振荡器保持正值 - 强劲下降趋势：OBV振荡器保持负值 - 弱势趋势：OBV振荡器频繁穿越零线 3. **成交量确认** - 趋势伴随上升的OBV = 强趋势 - 趋势伴随下降的OBV = 弱趋势（注意反转） #### 背离交易 1. **启用背离检测** - 先从常规背离开始 - 添加隐藏背离用于趋势延续 2. **等待背离信号** - 黄色标签 = 潜在看涨反转 - 蓝色标签 = 潜在看跌反转 3. **用价格行为确认** - 等待支撑/阻力突破 - 寻找K线确认 - 检查更高时间框架对齐 4. **进入交易** - 确认后进入 - 在近期波动之外设置止损 - 基于前一波动或支撑/阻力设定目标 #### 突破交易 1. **启用穿越标签** - 识别振荡器何时穿越零线 2. **确认成交量强度** - 强突破有大振荡器移动 - 弱突破勉强穿越零线 3. **交易方向** - "突破"标签 = 进入多头 - "跌破"标签 = 进入空头 4. **管理仓位** - 振荡器反向穿越时退出 - 使用价格结构设置止损 #### 多时间框架分析 1. **设置更高时间框架** - 例如：在15分钟图上，设置时间框架为1H或4H 2. **识别更高时间框架趋势** - 正振荡器 = 上升趋势偏向 - 负振荡器 = 下降趋势偏向 3. **顺趋势交易** - 仅在上升趋势中接受多头信号 - 仅在下降趋势中接受空头信号 4. **把握入场时机** - 使用当前时间框架进行精确进入 - 用更高时间框架方向确认 ### 交易策略 #### 策略1：常规背离反转 **设置：** 1. 价格处于强趋势（上涨或下跌） 2. 出现常规背离 3. 价格到达支撑/阻力水平 **入场：** - 看涨：在"看涨"标签后，价格突破近期高点时 - 看跌：在"看跌"标签后，价格跌破近期低点时 **止损：** - 看涨：背离低点之下 - 看跌：背离高点之上 **退出：** - 在下一个主要支撑/阻力获利 - 或出现相反背离时 **适合：**波段交易、反转交易 #### 策略2：隐藏背离延续 **设置：** 1. 建立明确趋势 2. 价格回调（回撤） 3. 出现隐藏背离 **入场：** - 看涨：在"隐藏看涨"标签后，价格恢复上升趋势时 - 看跌：在"隐藏看跌"标签后，价格恢复下降趋势时 **止损：** - 在回调波动点之后 **退出：** - 随着趋势延续移动止损 - 出现常规背离（反转信号）时退出 **适合：**趋势跟随、加仓 #### 策略3：零线穿越 **设置：** 1. 启用穿越标签 2. 振荡器穿越零线 3. 用价格结构突破确认 **入场：** - "突破"标签 = 买入信号 - "跌破"标签 = 卖出信号 **止损：** - 近期波动之下/之上 **退出：** - 振荡器反向穿越零线时 - 或在预定目标 **适合：**动量交易、快速交易 #### 策略4：多时间框架汇合 **设置：** 1. 设置指标到更高时间框架（例如，在1H图上设置4H） 2. 等待更高TF振荡器为正（上升趋势）或负（下降趋势） 3. 在当前时间框架上寻找与更高TF一致的入场机会 **入场：** - 多头：两个时间框架都显示正振荡器或看涨背离时 - 空头：两个时间框架都显示负振荡器或看跌背离时 **止损：** - 基于当前时间框架结构 **退出：** - 更高时间框架振荡器变为负（多头）或正（空头）时 **适合：**波段交易、高概率设置 ### 最佳实践 #### 成交量分析 1. **强势波动需要成交量** - 价格上涨 + 上升的OBV = 健康上升趋势 - 价格上涨 + 下降的OBV = 弱上升趋势（警告） 2. **注意确认** - 新高伴随新OBV高点 = 已确认 - 新高没有新OBV高点 = 潜在背离 3. **考虑背景** - 低成交量期（亚洲时段、假期）= 可靠性较低 - 高成交量期（新闻、伦敦/纽约重叠）= 更可靠 #### 背离交易技巧 1. **不是所有背离都有效** - 等待价格确认 - 在超卖/超买区域更强 - 在支撑/阻力水平更好 2. **多重背离** - 同一趋势上多个背离 = 更强信号 - 背离快速失败 = 忽略并等待下一个 3. **时间框架重要** - 更高时间框架背离 = 更可靠 - 更低时间框架背离 = 更频繁，可靠性较低 #### 平滑选择 1. **无平滑（None）** - 最敏感，更多信号 - 更多噪音，更多假信号 - 适合：剥头皮、非常活跃的交易 2. **EMA（默认）** - 平衡方法 - 适合大多数策略 - 适合：波段交易、日内交易 3. **SMMA (RMA)** - 非常平滑，更少信号 - 对突然变化响应较慢 - 适合：仓位交易、更长时间框架 ### 指标组合 **与移动平均线配合：** - 使用EMA确定趋势方向 - OBV确认成交量 - 两者一致时进入 **与RSI配合：** - RSI用于超买超卖 - OBV用于成交量确认 - 两者都背离 = 更强信号 **与价格行为配合：** - 支撑/阻力确定水平 - OBV确认强度 - 正OBV的突破 = 更可能成功 **与Bias指标配合：** - Bias用于价格偏离 - OBV用于成交量确认 - 两者都显示背离 = 高概率反转 ### 常见形态 1. **积累**：OBV上升而价格盘整（突破可能） 2. **派发**：OBV下降而价格盘整（跌破可能） 3. **确认**：OBV和价格都创新高/新低（趋势强劲） 4. **背离**：OBV和价格反向移动（反转警告） 5. **假突破**：价格突破但OBV不确认（可能失败） ### 性能提示 - 禁用未使用的显示功能以加快加载 - 先从常规背离开始，稍后添加隐藏背离 - 使用柱状图快速视觉参考 - 启用穿越标签以获得清晰的入场信号 - 为您的市场测试不同的平滑长度 ### 警报条件 指标包含以下警报： - 检测到常规看涨背离 - 检测到常规看跌背离 - 检测到隐藏看涨背离 - 检测到隐藏看跌背离 **如何设置警报：** 1. 点击指标名称 2. 选择"添加警报" 3. 选择条件 4. 配置通知方法 --- ## Technical Support For questions or issues, please refer to the TradingView community or contact the indicator creator. ## 技术支持 如有问题，请参考TradingView社区或联系指标创建者。
Indicatore Pine Script®
di lwmxmpyp
SP500 Session Gap Fade StrategySummary in one paragraph SPX Session Gap Fade is an intraday gap fade strategy for index futures, designed around regular cash sessions on five minute charts. It helps you participate only when there is a full overnight or pre session gap and a valid intraday session window, instead of trading every open. The original part is the gap distance engine which anchors both stop and optional target to the previous session reference close at a configurable flat time, so every trade’s risk scales with the actual gap size rather than a fixed tick stop. Scope and intent • Markets. Primarily index futures such as ES, NQ, YM, and liquid index CFDs that exhibit overnight gaps and regular cash hours. • Timeframes. Intraday timeframes from one minute to fifteen minutes. Default usage is five minute bars. • Default demo used in the publication. Symbol CME:ES1! on a five minute chart. • Purpose. Provide a simple, transparent way to trade opening gaps with a session anchored risk model and forced flat exit so you are not holding into the last part of the session. • Limits. This is a strategy. Orders are simulated on standard candles only. Originality and usefulness • Unique concept or fusion. The core novelty is the combination of a strict “full gap” entry condition with a session anchored reference close and a gap distance based TP and SL engine. The stop and optional target are symmetric multiples of the actual gap distance from the previous session’s flat close, rather than fixed ticks. • Failure mode it addresses. Fixed sized stops do not scale when gaps are unusually small or unusually large, which can either under risk or over risk the account. The session flat logic also reduces the chance of holding residual positions into late session liquidity and news. • Testability. All key pieces are explicit in the Inputs: session window, minutes before session end, whether to use gap exits, whether TP or SL are active, and whether to allow candle based closes and forced flat. You can toggle each component and see how it changes entries and exits. • Portable yardstick. The main unit is the absolute price gap between the entry bar open and the previous session reference close. tp_mult and sl_mult are multiples of that gap, which makes the risk model portable across contracts and volatility regimes. Method overview in plain language The strategy first defines a trading session using exchange time, for example 08:30 to 15:30 for ES day hours. It also defines a “flat” time a fixed number of minutes before session end. At the flat bar, any open position is closed and the bar’s close price is stored as the reference close for the next session. Inside the session, the strategy looks for a full gap bar relative to the prior bar: a gap down where today’s high is below yesterday’s low, or a gap up where today’s low is above yesterday’s high. A full gap down generates a long entry; a full gap up generates a short entry. If the gap risk engine is enabled and a valid reference close exists, the strategy measures the distance between the entry bar open and that reference close. It then sets a stop and optional target as configurable multiples of that gap distance and manages them with strategy.exit. Additional exits can be triggered by a candle color flip or by the forced flat time. Base measures • Range basis. The main unit is the absolute difference between the current entry bar open and the stored reference close from the previous session flat bar. That value is used as a “gap unit” and scaled by tp_mult and sl_mult to build the target and stop. Components • Component one: Gap Direction. Detects full gap up or full gap down by comparing the current high and low to the previous bar’s high and low. Gap down signals a long fade, gap up signals a short fade. There is no smoothing; it is a strict structural condition. • Component two: Session Window. Only allows entries when the current time is within the configured session window. It also defines a flat time before the session end where positions are forced flat and the reference close is updated. • Component three: Gap Distance Risk Engine. Computes the absolute distance between the entry open and the stored reference close. The stop and optional target are placed as entry ± gap_distance × multiplier so that risk scales with gap size. • Optional component: Candle Exit. If enabled, a bullish bar closes short positions and a bearish bar closes long positions, which can shorten holding time when price reverses quickly inside the session. • Session windows. Session logic uses the exchange time of the chart symbol. When changing symbols or venues, verify that the session time string still matches the new instrument’s cash hours. Fusion rule All gates are hard conditions rather than weighted scores. A trade can only open if the session window is active and the full gap condition is true. The gap distance engine only activates if a valid reference close exists and use_gap_risk is on. TP and SL are controlled by separate booleans so you can use SL only, TP only, or both. Long and short are symmetric by construction: long trades fade full gap downs, short trades fade full gap ups with mirrored TP and SL logic. Signal rule • Long entry. Inside the active session, when the current bar shows a full gap down relative to the previous bar (current high below prior low), the strategy opens a long position. If the gap risk engine is active, it places a gap based stop below the entry and an optional target above it. • Short entry. Inside the active session, when the current bar shows a full gap up relative to the previous bar (current low above prior high), the strategy opens a short position. If the gap risk engine is active, it places a gap based stop above the entry and an optional target below it. • Forced flat. At the configured flat time before session end, any open position is closed and the close price of that bar becomes the new reference close for the following session. • Candle based exit. If enabled, a bearish bar closes longs, and a bullish bar closes shorts, regardless of where TP or SL sit, as long as a position is open. What you will see on the chart • Markers on entry bars. Standard strategy entry markers labeled “long” and “short” on the gap bars where trades open. • Exit markers. Standard exit markers on bars where either the gap stop or target are hit, or where a candle exit or forced flat close occurs. Exit IDs “long_gap” and “short_gap” label gap based exits. • Reference levels. Horizontal lines for the current long TP, long SL, short TP, and short SL while a position is open and the gap engine is enabled. They update when a new trade opens and disappear when flat. • Session background. This version does not add background shading for the session; session logic runs internally based on time. • No on chart table. All decisions are visible through orders and exit levels. Use the Strategy Tester for performance metrics. Inputs with guidance Session Settings • Trading session (sess). Session window in exchange time. Typical value uses the regular cash session for each contract, for example “0830-1530” for ES. Adjust if your broker or symbol uses different hours. • Minutes before session end to force exit (flat_before_min). Minutes before the session end where positions are forced flat and the reference close is stored. Typical range is 15 to 120. Raising it closes trades earlier in the day; lowering it allows trades later in the session. Gap Risk • Enable gap based TP/SL (use_gap_risk). Master switch for the gap distance exit engine. Turning it off keeps entries and forced flat logic but removes automatic TP and SL placement. • Use TP limit from gap (use_gap_tp). Enables gap based profit targets. Typical values are true for structured exits or false if you want to manage exits manually and only keep a stop. • Use SL stop from gap (use_gap_sl). Enables gap based stop losses. This should normally remain true so that each trade has a defined initial risk in ticks. • TP multiplier of gap distance (tp_mult). Multiplier applied to the gap distance for the target. Typical range is 0.5 to 2.0. Raising it places the target further away and reduces hit frequency. • SL multiplier of gap distance (sl_mult). Multiplier applied to the gap distance for the stop. Typical range is 0.5 to 2.0. Raising it widens the stop and increases risk per trade; lowering it tightens the stop and may increase the number of small losses. Exit Controls • Exit with candle logic (use_candle_exit). If true, closes shorts on bullish candles and longs on bearish candles. Useful when you want to react to intraday reversal bars even if TP or SL have not been reached. • Force flat before session end (use_forced_flat). If true, guarantees you are flat by the configured flat time and updates the reference close. Turn this off only if you understand the impact on overnight risk. Filters There is no separate trend or volatility filter in this version. All trades depend on the presence of a full gap bar inside the session. If you need extra filtering such as ATR, volume, or higher timeframe bias, they should be added explicitly and documented in your own fork. Usage recipes Intraday conservative gap fade • Timeframe. Five minute chart on ES regular session. • Gap risk. use_gap_risk = true, use_gap_tp = true, use_gap_sl = true. • Multipliers. tp_mult around 0.7 to 1.0 and sl_mult around 1.0. • Exits. use_candle_exit = false, use_forced_flat = true. Focus on the structured TP and SL around the gap. Intraday aggressive gap fade • Timeframe. Five minute chart. • Gap risk. use_gap_risk = true, use_gap_tp = false, use_gap_sl = true. • Multipliers. sl_mult around 0.7 to 1.0. • Exits. use_candle_exit = true, use_forced_flat = true. Entries fade full gaps, stops are tight, and candle color flips flatten trades early. Higher timeframe gap tests • Timeframe. Fifteen minute or sixty minute charts on instruments with regular gaps. • Gap risk. Keep use_gap_risk = true. Consider slightly higher sl_mult if gaps are structurally wider on the higher timeframe. • Note. Expect fewer trades and be careful with sample size; multi year data is recommended. Properties visible in this publication • On average our risk for each position over the last 200 trades is 0.4% with a max intraday loss of 1.5% of the total equity in this case of 100k $ with 1 contract ES. For other assets, recalculations and customizations has to be applied. • Initial capital. 100 000. • Base currency. USD. • Default order size method. Fixed with size 1 contract. • Pyramiding. 0. • Commission. Flat 2 USD per order in the Strategy Tester Properties. (2$ buying + 2$selling) • Slippage. One tick in the Strategy Tester Properties. • Process orders on close. ON. Realism and responsible publication • No performance claims are made. Past results do not guarantee future outcomes. • Costs use a realistic flat commission and one tick of slippage per trade for ES class futures. • Default sizing with one contract on a 100 000 reference account targets modest per trade risk. In practice, extreme slippage or gap through events can exceed this, so treat the one and a half percent risk target as a design goal, not a guarantee. • All orders are simulated on standard candles. Shapes can move while a bar is forming and settle on bar close. Honest limitations and failure modes • Economic releases, thin liquidity, and limit conditions can break the assumptions behind the simple gap model and lead to slippage or skipped fills. • Symbols with very frequent or very large gaps may require adjusted multipliers or alternative risk handling, especially in high volatility regimes. • Very quiet periods without clean gaps will produce few or no trades. This is expected behavior, not a bug. • Session windows follow the exchange time of the chart. Always confirm that the configured session matches the symbol. • When both the stop and target lie inside the same bar’s range, the TradingView engine decides which is hit first based on its internal intrabar assumptions. Without bar magnifier, tie handling is approximate. Legal Education and research only. This strategy is not investment advice. You remain responsible for all trading decisions. Always test on historical data and in simulation with realistic costs before considering any live use.
Strategia Pine Script®
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Hellenic EMA Matrix - PremiumHellenic EMA Matrix - Alpha Omega Premium Complete User Guide Table of Contents Introduction Indicator Philosophy Mathematical Constants EMA Types Settings Trading Signals Visualization Usage Strategies FAQ Introduction Hellenic EMA Matrix is a premium indicator based on mathematical constants of nature: Phi (Phi - Golden Ratio), Pi (Pi), e (Euler's number). The indicator uses these universal constants to create dynamic EMAs that adapt to the natural rhythms of the market. Key Features: 6 EMA types based on mathematical constants Premium visualization with Neon Glow and Gradient Clouds Automatic Fast/Mid/Slow EMA sorting STRONG signals for powerful trends Pulsing Ribbon Bar for instant trend assessment Works on all timeframes (M1 - MN) Indicator Philosophy Why Mathematical Constants? Traditional EMAs use arbitrary periods (9, 21, 50, 200). Hellenic Matrix goes further, using universal mathematical constants found in nature: Phi (1.618) - Golden Ratio: galaxy spirals, seashells, human body proportions Pi (3.14159) - Pi: circles, waves, cycles e (2.71828) - Natural logarithm base: exponential growth, radioactive decay Markets are also a natural system composed of millions of participants. Using mathematical constants allows tuning into the natural rhythms of market cycles. Mathematical Constants Phi (Phi) - Golden Ratio Phi = 1.618033988749895 Properties: Phi² = Phi + 1 = 2.618 Phi³ = 4.236 Phi⁴ = 6.854 Application: Ideal for trending movements and Fibonacci corrections Pi (Pi) - Pi Number Pi = 3.141592653589793 Properties: 2Pi = 6.283 (full circle) 3Pi = 9.425 4Pi = 12.566 Application: Excellent for cyclical markets and wave structures e (Euler) - Euler's Number e = 2.718281828459045 Properties: e² = 7.389 e³ = 20.085 e⁴ = 54.598 Application: Suitable for exponential movements and volatile markets EMA Types 1. Phi (Phi) - Golden Ratio EMA Description: EMA based on the golden ratio Period Formula: Period = Phi^n × Base Multiplier Parameters: Phi Power Level (1-8): Power of Phi Phi¹ = 1.618 → ~16 period (with Base=10) Phi² = 2.618 → ~26 period Phi³ = 4.236 → ~42 period (recommended) Phi⁴ = 6.854 → ~69 period Recommendations: Phi² or Phi³ for day trading Phi⁴ or Phi⁵ for swing trading Works excellently as Fast EMA 2. Pi (Pi) - Circular EMA Description: EMA based on Pi for cyclical movements Period Formula: Period = Pi × Multiple × Base Multiplier Parameters: Pi Multiple (1-10): Pi multiplier 1Pi = 3.14 → ~31 period (with Base=10) 2Pi = 6.28 → ~63 period (recommended) 3Pi = 9.42 → ~94 period Recommendations: 2Pi ideal as Mid or Slow EMA Excellently identifies cycles and waves Use on volatile markets (crypto, forex) 3. e (Euler) - Natural EMA Description: EMA based on natural logarithm Period Formula: Period = e^n × Base Multiplier Parameters: e Power Level (1-6): Power of e e¹ = 2.718 → ~27 period (with Base=10) e² = 7.389 → ~74 period (recommended) e³ = 20.085 → ~201 period Recommendations: e² works excellently as Slow EMA Ideal for stocks and indices Filters noise well on lower timeframes 4. Delta (Delta) - Adaptive EMA Description: Adaptive EMA that changes period based on volatility Period Formula: Period = Base Period × (1 + (Volatility - 1) × Factor) Parameters: Delta Base Period (5-200): Base period (default 20) Delta Volatility Sensitivity (0.5-5.0): Volatility sensitivity (default 2.0) How it works: During low volatility → period decreases → EMA reacts faster During high volatility → period increases → EMA smooths noise Recommendations: Works excellently on news and sharp movements Use as Fast EMA for quick adaptation Sensitivity 2.0-3.0 for crypto, 1.0-2.0 for stocks 5. Sigma (Sigma) - Composite EMA Description: Composite EMA combining multiple active EMAs Composition Methods: Weighted Average (default): Sigma = (Phi + Pi + e + Delta) / 4 Simple average of all active EMAs Geometric Mean: Sigma = fourth_root(Phi × Pi × e × Delta) Geometric mean (more conservative) Harmonic Mean: Sigma = 4 / (1/Phi + 1/Pi + 1/e + 1/Delta) Harmonic mean (more weight to smaller values) Recommendations: Enable for additional confirmation Use as Mid EMA Weighted Average - most universal method 6. Lambda (Lambda) - Wave EMA Description: Wave EMA with sinusoidal period modulation Period Formula: Period = Base Period × (1 + Amplitude × sin(2Pi × bar / Frequency)) Parameters: Lambda Base Period (10-200): Base period Lambda Wave Amplitude (0.1-2.0): Wave amplitude Lambda Wave Frequency (10-200): Wave frequency in bars How it works: Period pulsates sinusoidally Creates wave effect following market cycles Recommendations: Experimental EMA for advanced users Works well on cyclical markets Frequency = 50 for day trading, 100+ for swing Settings Matrix Core Settings Base Multiplier (1-100) Multiplies all EMA periods Base = 1: Very fast EMAs (Phi³ = 4, 2Pi = 6, e² = 7) Base = 10: Standard (Phi³ = 42, 2Pi = 63, e² = 74) Base = 20: Slow EMAs (Phi³ = 85, 2Pi = 126, e² = 148) Recommendations by timeframe: M1-M5: Base = 5-10 M15-H1: Base = 10-15 (recommended) H4-D1: Base = 15-25 W1-MN: Base = 25-50 Matrix Source Data source selection for EMA calculation: close - closing price (standard) open - opening price high - high low - low hl2 - (high + low) / 2 hlc3 - (high + low + close) / 3 ohlc4 - (open + high + low + close) / 4 When to change: hlc3 or ohlc4 for smoother signals high for aggressive longs low for aggressive shorts Manual EMA Selection Critically important setting! Determines which EMAs are used for signal generation. Use Manual Fast/Slow/Mid Selection Enabled (default): You select EMAs manually Disabled: Automatic selection by periods Fast EMA Fast EMA - reacts first to price changes Recommendations: Phi Golden (recommended) - universal choice Delta Adaptive - for volatile markets Must be fastest (smallest period) Slow EMA Slow EMA - determines main trend Recommendations: Pi Circular (recommended) - excellent trend filter e Natural - for smoother trend Must be slowest (largest period) Mid EMA Mid EMA - additional signal filter Recommendations: e Natural (recommended) - excellent middle level Pi Circular - alternative None - for more frequent signals (only 2 EMAs) IMPORTANT: The indicator automatically sorts selected EMAs by their actual periods: Fast = EMA with smallest period Mid = EMA with middle period Slow = EMA with largest period Therefore, you can select any combination - the indicator will arrange them correctly! Premium Visualization Neon Glow Enable Neon Glow for EMAs - adds glowing effect around EMA lines Glow Strength: Light - subtle glow Medium (recommended) - optimal balance Strong - bright glow (may be too bright) Effect: 2 glow layers around each EMA for 3D effect Gradient Clouds Enable Gradient Clouds - fills space between EMAs with gradient Parameters: Cloud Transparency (85-98): Cloud transparency 95-97 (recommended) Higher = more transparent Dynamic Cloud Intensity - automatically changes transparency based on EMA distance Cloud Colors: Phi-Pi Cloud: Blue - when Pi above Phi (bullish) Gold - when Phi above Pi (bearish) Pi-e Cloud: Green - when e above Pi (bullish) Blue - when Pi above e (bearish) 2 layers for volumetric effect Pulsing Ribbon Bar Enable Pulsing Indicator Bar - pulsing strip at bottom/top of chart Parameters: Ribbon Position: Top / Bottom (recommended) Pulse Speed: Slow / Medium (recommended) / Fast Symbols and colors: Green filled square - STRONG BULLISH Pink filled square - STRONG BEARISH Blue hollow square - Bullish (regular) Red hollow square - Bearish (regular) Purple rectangle - Neutral Effect: Pulsation with sinusoid for living market feel Signal Bar Highlights Enable Signal Bar Highlights - highlights bars with signals Parameters: Highlight Transparency (88-96): Highlight transparency Highlight Style: Light Fill (recommended) - bar background fill Thin Line - bar outline only Highlights: Golden Cross - green Death Cross - pink STRONG BUY - green STRONG SELL - pink Show Greek Labels Shows Greek alphabet letters on last bar: Phi - Phi EMA (gold) Pi - Pi EMA (blue) e - Euler EMA (green) Delta - Delta EMA (purple) Sigma - Sigma EMA (pink) When to use: For education or presentations Show Old Background Old background style (not recommended): Green background - STRONG BULLISH Pink background - STRONG BEARISH Blue background - Bullish Red background - Bearish Not recommended - use new Gradient Clouds and Pulsing Bar Info Table Show Info Table - table with indicator information Parameters: Position: Top Left / Top Right (recommended) / Bottom Left / Bottom Right Size: Tiny / Small (recommended) / Normal / Large Table contents: EMA list - periods and current values of all active EMAs Effects - active visual effects TREND - current trend state: STRONG UP - strong bullish STRONG DOWN - strong bearish Bullish - regular bullish Bearish - regular bearish Neutral - neutral Momentum % - percentage deviation of price from Fast EMA Setup - current Fast/Slow/Mid configuration Trading Signals Show Golden/Death Cross Golden Cross - Fast EMA crosses Slow EMA from below (bullish signal) Death Cross - Fast EMA crosses Slow EMA from above (bearish signal) Symbols: Yellow dot "GC" below - Golden Cross Dark red dot "DC" above - Death Cross Show STRONG Signals STRONG BUY and STRONG SELL - the most powerful indicator signals Conditions for STRONG BULLISH: EMA Alignment: Fast > Mid > Slow (all EMAs aligned) Trend: Fast > Slow (clear uptrend) Distance: EMAs separated by minimum 0.15% Price Position: Price above Fast EMA Fast Slope: Fast EMA rising Slow Slope: Slow EMA rising Mid Trending: Mid EMA also rising (if enabled) Conditions for STRONG BEARISH: Same but in reverse Visual display: Green label "STRONG BUY" below bar Pink label "STRONG SELL" above bar Difference from Golden/Death Cross: Golden/Death Cross = crossing moment (1 bar) STRONG signal = sustained trend (lasts several bars) IMPORTANT: After fixes, STRONG signals now: Work on all timeframes (M1 to MN) Don't break on small retracements Work with any Fast/Mid/Slow combination Automatically adapt thanks to EMA sorting Show Stop Loss/Take Profit Automatic SL/TP level calculation on STRONG signal Parameters: Stop Loss (ATR) (0.5-5.0): ATR multiplier for stop loss 1.5 (recommended) - standard 1.0 - tight stop 2.0-3.0 - wide stop Take Profit R:R (1.0-5.0): Risk/reward ratio 2.0 (recommended) - standard (risk 1.5 ATR, profit 3.0 ATR) 1.5 - conservative 3.0-5.0 - aggressive Formulas: LONG: Stop Loss = Entry - (ATR × Stop Loss ATR) Take Profit = Entry + (ATR × Stop Loss ATR × Take Profit R:R) SHORT: Stop Loss = Entry + (ATR × Stop Loss ATR) Take Profit = Entry - (ATR × Stop Loss ATR × Take Profit R:R) Visualization: Red X - Stop Loss Green X - Take Profit Levels remain active while STRONG signal persists Trading Signals Signal Types 1. Golden Cross Description: Fast EMA crosses Slow EMA from below Signal: Beginning of bullish trend How to trade: ENTRY: On bar close with Golden Cross STOP: Below local low or below Slow EMA TARGET: Next resistance level or 2:1 R:R Strengths: Simple and clear Works well on trending markets Clear entry point Weaknesses: Lags (signal after movement starts) Many false signals in ranging markets May be late on fast moves Optimal timeframes: H1, H4, D1 2. Death Cross Description: Fast EMA crosses Slow EMA from above Signal: Beginning of bearish trend How to trade: ENTRY: On bar close with Death Cross STOP: Above local high or above Slow EMA TARGET: Next support level or 2:1 R:R Application: Mirror of Golden Cross 3. STRONG BUY Description: All EMAs aligned + trend + all EMAs rising Signal: Powerful bullish trend How to trade: ENTRY: On bar close with STRONG BUY or on pullback to Fast EMA STOP: Below Fast EMA or automatic SL (if enabled) TARGET: Automatic TP (if enabled) or by levels TRAILING: Follow Fast EMA Entry strategies: Aggressive: Enter immediately on signal Conservative: Wait for pullback to Fast EMA, then enter on bounce Pyramiding: Add positions on pullbacks to Mid EMA Position management: Hold while STRONG signal active Exit on STRONG SELL or Death Cross appearance Move stop behind Fast EMA Strengths: Most reliable indicator signal Doesn't break on pullbacks Catches large moves Works on all timeframes Weaknesses: Appears less frequently than other signals Requires confirmation (multiple conditions) Optimal timeframes: All (M5 - D1) 4. STRONG SELL Description: All EMAs aligned down + downtrend + all EMAs falling Signal: Powerful bearish trend How to trade: Mirror of STRONG BUY Visual Signals Pulsing Ribbon Bar Quick market assessment at a glance: Symbol Color State Filled square Green STRONG BULLISH Filled square Pink STRONG BEARISH Hollow square Blue Bullish Hollow square Red Bearish Rectangle Purple Neutral Pulsation: Sinusoidal, creates living effect Signal Bar Highlights Bars with signals are highlighted: Green highlight: STRONG BUY or Golden Cross Pink highlight: STRONG SELL or Death Cross Gradient Clouds Colored space between EMAs shows trend strength: Wide clouds - strong trend Narrow clouds - weak trend or consolidation Color change - trend change Info Table Quick reference in corner: TREND: Current state (STRONG UP, Bullish, Neutral, Bearish, STRONG DOWN) Momentum %: Movement strength Effects: Active visual effects Setup: Fast/Slow/Mid configuration Usage Strategies Strategy 1: "Golden Trailing" Idea: Follow STRONG signals using Fast EMA as trailing stop Settings: Fast: Phi Golden (Phi³) Mid: Pi Circular (2Pi) Slow: e Natural (e²) Base Multiplier: 10 Timeframe: H1, H4 Entry rules: Wait for STRONG BUY Enter on bar close or on pullback to Fast EMA Stop below Fast EMA Management: Hold position while STRONG signal active Move stop behind Fast EMA daily Exit on STRONG SELL or Death Cross Take Profit: Partially close at +2R Trail remainder until exit signal For whom: Swing traders, trend followers Pros: Catches large moves Simple rules Emotionally comfortable Cons: Requires patience Possible extended drawdowns on pullbacks Strategy 2: "Scalping Bounces" Idea: Scalp bounces from Fast EMA during STRONG trend Settings: Fast: Delta Adaptive (Base 15, Sensitivity 2.0) Mid: Phi Golden (Phi²) Slow: Pi Circular (2Pi) Base Multiplier: 5 Timeframe: M5, M15 Entry rules: STRONG signal must be active Wait for price pullback to Fast EMA Enter on bounce (candle closes above/below Fast EMA) Stop behind local extreme (15-20 pips) Take Profit: +1.5R or to Mid EMA Or to next level For whom: Active day traders Pros: Many signals Clear entry point Quick profits Cons: Requires constant monitoring Not all bounces work Requires discipline for frequent trading Strategy 3: "Triple Filter" Idea: Enter only when all 3 EMAs and price perfectly aligned Settings: Fast: Phi Golden (Phi³) Mid: e Natural (e²) Slow: Pi Circular (3Pi) Base Multiplier: 15 Timeframe: H4, D1 Entry rules (LONG): STRONG BUY active Price above all three EMAs Fast > Mid > Slow (all aligned) All EMAs rising (slope up) Gradient Clouds wide and bright Entry: On bar close meeting all conditions Or on next pullback to Fast EMA Stop: Below Mid EMA or -1.5 ATR Take Profit: First target: +3R Second target: next major level Trailing: Mid EMA For whom: Conservative swing traders, investors Pros: Very reliable signals Minimum false entries Large profit potential Cons: Rare signals (2-5 per month) Requires patience Strategy 4: "Adaptive Scalper" Idea: Use only Delta Adaptive EMA for quick volatility reaction Settings: Fast: Delta Adaptive (Base 10, Sensitivity 3.0) Mid: None Slow: Delta Adaptive (Base 30, Sensitivity 2.0) Base Multiplier: 3 Timeframe: M1, M5 Feature: Two different Delta EMAs with different settings Entry rules: Golden Cross between two Delta EMAs Both Delta EMAs must be rising/falling Enter on next bar Stop: 10-15 pips or below Slow Delta EMA Take Profit: +1R to +2R Or Death Cross For whom: Scalpers on cryptocurrencies and forex Pros: Instant volatility adaptation Many signals on volatile markets Quick results Cons: Much noise on calm markets Requires fast execution High commissions may eat profits Strategy 5: "Cyclical Trader" Idea: Use Pi and Lambda for trading cyclical markets Settings: Fast: Pi Circular (1Pi) Mid: Lambda Wave (Base 30, Amplitude 0.5, Frequency 50) Slow: Pi Circular (3Pi) Base Multiplier: 10 Timeframe: H1, H4 Entry rules: STRONG signal active Lambda Wave EMA synchronized with trend Enter on bounce from Lambda Wave For whom: Traders of cyclical assets (some altcoins, commodities) Pros: Catches cyclical movements Lambda Wave provides additional entry points Cons: More complex to configure Not for all markets Lambda Wave may give false signals Strategy 6: "Multi-Timeframe Confirmation" Idea: Use multiple timeframes for confirmation Scheme: Higher TF (D1): Determine trend direction (STRONG signal) Middle TF (H4): Wait for STRONG signal in same direction Lower TF (M15): Look for entry point (Golden Cross or bounce from Fast EMA) Settings for all TFs: Fast: Phi Golden (Phi³) Mid: e Natural (e²) Slow: Pi Circular (2Pi) Base Multiplier: 10 Rules: All 3 TFs must show one trend Entry on lower TF Stop by lower TF Target by higher TF For whom: Serious traders and investors Pros: Maximum reliability Large profit targets Minimum false signals Cons: Rare setups Requires analysis of multiple charts Experience needed Practical Tips DOs Use STRONG signals as primary - they're most reliable Let signals develop - don't exit on first pullback Use trailing stop - follow Fast EMA Combine with levels - S/R, Fibonacci, volumes Test on demo before real Adjust Base Multiplier for your timeframe Enable visual effects - they help see the picture Use Info Table - quick situation assessment Watch Pulsing Bar - instant state indicator Trust auto-sorting of Fast/Mid/Slow DON'Ts Don't trade against STRONG signal - trend is your friend Don't ignore Mid EMA - it adds reliability Don't use too small Base Multiplier on higher TFs Don't enter on Golden Cross in range - check for trend Don't change settings during open position Don't forget risk management - 1-2% per trade Don't trade all signals in row - choose best ones Don't use indicator in isolation - combine with Price Action Don't set too tight stops - let trade breathe Don't over-optimize - simplicity = reliability Optimal Settings by Asset US Stocks (SPY, AAPL, TSLA) Recommendation: Fast: Phi Golden (Phi³) Mid: e Natural (e²) Slow: Pi Circular (2Pi) Base: 10-15 Timeframe: H4, D1 Features: Use on daily for swing STRONG signals very reliable Works well on trending stocks Forex (EUR/USD, GBP/USD) Recommendation: Fast: Delta Adaptive (Base 15, Sens 2.0) Mid: Phi Golden (Phi²) Slow: Pi Circular (2Pi) Base: 8-12 Timeframe: M15, H1, H4 Features: Delta Adaptive works excellently on news Many signals on M15-H1 Consider spreads Cryptocurrencies (BTC, ETH, altcoins) Recommendation: Fast: Delta Adaptive (Base 10, Sens 3.0) Mid: Pi Circular (2Pi) Slow: e Natural (e²) Base: 5-10 Timeframe: M5, M15, H1 Features: High volatility - adaptation needed STRONG signals can last days Be careful with scalping on M1-M5 Commodities (Gold, Oil) Recommendation: Fast: Pi Circular (1Pi) Mid: Phi Golden (Phi³) Slow: Pi Circular (3Pi) Base: 12-18 Timeframe: H4, D1 Features: Pi works excellently on cyclical commodities Gold responds especially well to Phi Oil volatile - use wide stops Indices (S&P500, Nasdaq, DAX) Recommendation: Fast: Phi Golden (Phi³) Mid: e Natural (e²) Slow: Pi Circular (2Pi) Base: 15-20 Timeframe: H4, D1, W1 Features: Very trending instruments STRONG signals last weeks Good for position trading Alerts The indicator supports 6 alert types: 1. Golden Cross Message: "Hellenic Matrix: GOLDEN CROSS - Fast EMA crossed above Slow EMA - Bullish trend starting!" When: Fast EMA crosses Slow EMA from below 2. Death Cross Message: "Hellenic Matrix: DEATH CROSS - Fast EMA crossed below Slow EMA - Bearish trend starting!" When: Fast EMA crosses Slow EMA from above 3. STRONG BULLISH Message: "Hellenic Matrix: STRONG BULLISH SIGNAL - All EMAs aligned for powerful uptrend!" When: All conditions for STRONG BUY met (first bar) 4. STRONG BEARISH Message: "Hellenic Matrix: STRONG BEARISH SIGNAL - All EMAs aligned for powerful downtrend!" When: All conditions for STRONG SELL met (first bar) 5. Bullish Ribbon Message: "Hellenic Matrix: BULLISH RIBBON - EMAs aligned for uptrend" When: EMAs aligned bullish + price above Fast EMA (less strict condition) 6. Bearish Ribbon Message: "Hellenic Matrix: BEARISH RIBBON - EMAs aligned for downtrend" When: EMAs aligned bearish + price below Fast EMA (less strict condition) How to Set Up Alerts: Open indicator on chart Click on three dots next to indicator name Select "Create Alert" In "Condition" field select needed alert: Golden Cross Death Cross STRONG BULLISH STRONG BEARISH Bullish Ribbon Bearish Ribbon Configure notification method: Pop-up in browser Email SMS (in Premium accounts) Push notifications in mobile app Webhook (for automation) Select frequency: Once Per Bar Close (recommended) - once on bar close Once Per Bar - during bar formation Only Once - only first time Click "Create" Tip: Create separate alerts for different timeframes and instruments FAQ 1. Why don't STRONG signals appear? Possible reasons: Incorrect Fast/Mid/Slow order Solution: Indicator automatically sorts EMAs by periods, but ensure selected EMAs have different periods Base Multiplier too large Solution: Reduce Base to 5-10 on lower timeframes Market in range Solution: STRONG signals appear only in trends - this is normal Too strict EMA settings Solution: Try classic combination: Phi³ / Pi×2 / e² with Base=10 Mid EMA too close to Fast or Slow Solution: Select Mid EMA with period between Fast and Slow 2. How often should STRONG signals appear? Normal frequency: M1-M5: 5-15 signals per day (very active markets) M15-H1: 2-8 signals per day H4: 3-10 signals per week D1: 2-5 signals per month W1: 2-6 signals per year If too many signals - market very volatile or Base too small If too few signals - market in range or Base too large 4. What are the best settings for beginners? Universal "out of the box" settings: Matrix Core: Base Multiplier: 10 Source: close Phi Golden: Enabled, Power = 3 Pi Circular: Enabled, Multiple = 2 e Natural: Enabled, Power = 2 Delta Adaptive: Enabled, Base = 20, Sensitivity = 2.0 Manual Selection: Fast: Phi Golden Mid: e Natural Slow: Pi Circular Visualization: Gradient Clouds: ON Neon Glow: ON (Medium) Pulsing Bar: ON (Medium) Signal Highlights: ON (Light Fill) Table: ON (Top Right, Small) Signals: Golden/Death Cross: ON STRONG Signals: ON Stop Loss: OFF (while learning) Timeframe for learning: H1 or H4 5. Can I use only one EMA? No, minimum 2 EMAs (Fast and Slow) for signal generation. Mid EMA is optional: With Mid EMA = more reliable but rarer signals Without Mid EMA = more signals but less strict filtering Recommendation: Start with 3 EMAs (Fast/Mid/Slow), then experiment 6. Does the indicator work on cryptocurrencies? Yes, works excellently! Especially good on: Bitcoin (BTC) Ethereum (ETH) Major altcoins (SOL, BNB, XRP) Recommended settings for crypto: Fast: Delta Adaptive (Base 10-15, Sensitivity 2.5-3.0) Mid: Pi Circular (2Pi) Slow: e Natural (e²) Base: 5-10 Timeframe: M15, H1, H4 Crypto market features: High volatility → use Delta Adaptive 24/7 trading → set alerts Sharp movements → wide stops 7. Can I trade only with this indicator? Technically yes, but NOT recommended. Best approach - combine with: Price Action - support/resistance levels, candle patterns Volume - movement strength confirmation Fibonacci - retracement and extension levels RSI/MACD - divergences and overbought/oversold Fundamental analysis - news, company reports Hellenic Matrix: Excellently determines trend and its strength Provides clear entry/exit points Doesn't consider fundamentals Doesn't see major levels 8. Why do Gradient Clouds change color? Color depends on EMA order: Phi-Pi Cloud: Blue - Pi EMA above Phi EMA (bullish alignment) Gold - Phi EMA above Pi EMA (bearish alignment) Pi-e Cloud: Green - e EMA above Pi EMA (bullish alignment) Blue - Pi EMA above e EMA (bearish alignment) Color change = EMA order change = possible trend change 9. What is Momentum % in the table? Momentum % = percentage deviation of price from Fast EMA Formula: Momentum = ((Close - Fast EMA) / Fast EMA) × 100 Interpretation: +0.5% to +2% - normal bullish momentum +2% to +5% - strong bullish momentum +5% and above - overheating (correction possible) -0.5% to -2% - normal bearish momentum -2% to -5% - strong bearish momentum -5% and below - oversold (bounce possible) Usage: Monitor momentum during STRONG signals Large momentum = don't enter (wait for pullback) Small momentum = good entry point 10. How to configure for scalping? Settings for scalping (M1-M5): Base Multiplier: 3-5 Source: close or hlc3 (smoother) Fast: Delta Adaptive (Base 8-12, Sensitivity 3.0) Mid: None (for more signals) Slow: Phi Golden (Phi²) or Pi Circular (1Pi) Visualization: - Gradient Clouds: ON (helps see strength) - Neon Glow: OFF (doesn't clutter chart) - Pulsing Bar: ON (quick assessment) - Signal Highlights: ON Signals: - Golden/Death Cross: ON - STRONG Signals: ON - Stop Loss: ON (1.0-1.5 ATR, R:R 1.5-2.0) Scalping rules: Trade only STRONG signals Enter on bounce from Fast EMA Tight stops (10-20 pips) Quick take profit (+1R to +2R) Don't hold through news 11. How to configure for long-term investing? Settings for investing (D1-W1): Base Multiplier: 20-30 Source: close Fast: Phi Golden (Phi³ or Phi⁴) Mid: e Natural (e²) Slow: Pi Circular (3Pi or 4Pi) Visualization: - Gradient Clouds: ON - Neon Glow: ON (Medium) - Everything else - to taste Signals: - Golden/Death Cross: ON - STRONG Signals: ON - Stop Loss: OFF (use percentage stop) Investing rules: Enter only on STRONG signals Hold while STRONG active (weeks/months) Stop below Slow EMA or -10% Take profit: by company targets or +50-100% Ignore short-term pullbacks 12. What if indicator slows down chart? Indicator is optimized, but if it slows: Disable unnecessary visual effects: Neon Glow: OFF (saves 8 plots) Gradient Clouds: ON but low quality Lambda Wave EMA: OFF (if not using) Reduce number of active EMAs: Sigma Composite: OFF Lambda Wave: OFF Leave only Phi, Pi, e, Delta Simplify settings: Pulsing Bar: OFF Greek Labels: OFF Info Table: smaller size 13. Can I use on different timeframes simultaneously? Yes! Multi-timeframe analysis is very powerful: Classic scheme: Higher TF (D1, W1) - determine global trend Wait for STRONG signal This is our trading direction Middle TF (H4, H1) - look for confirmation STRONG signal in same direction Precise entry zone Lower TF (M15, M5) - entry point Golden Cross or bounce from Fast EMA Precise stop loss Example: W1: STRONG BUY active (global uptrend) H4: STRONG BUY appeared (confirmation) M15: Wait for Golden Cross or bounce from Fast EMA → ENTRY Advantages: Maximum reliability Clear timeframe hierarchy Large targets 14. How does indicator work on news? Delta Adaptive EMA adapts excellently to news: Before news: Low volatility → Delta EMA becomes fast → pulls to price During news: Sharp volatility spike → Delta EMA slows → filters noise After news: Volatility normalizes → Delta EMA returns to normal Recommendations: Don't trade at news release moment (spreads widen) Wait for STRONG signal after news (2-5 bars) Use Delta Adaptive as Fast EMA for quick reaction Widen stops by 50-100% during important news Advanced Techniques Technique 1: "Divergences with EMA" Idea: Look for discrepancies between price and Fast EMA Bullish divergence: Price makes lower low Fast EMA makes higher low = Possible reversal up Bearish divergence: Price makes higher high Fast EMA makes lower high = Possible reversal down How to trade: Find divergence Wait for STRONG signal in divergence direction Enter on confirmation Technique 2: "EMA Tunnel" Idea: Use space between Fast and Slow EMA as "tunnel" Rules: Wide tunnel - strong trend, hold position Narrow tunnel - weak trend or consolidation, caution Tunnel narrowing - trend weakening, prepare to exit Tunnel widening - trend strengthening, can add Visually: Gradient Clouds show this automatically! Trading: Enter on STRONG signal (tunnel starts widening) Hold while tunnel wide Exit when tunnel starts narrowing Technique 3: "Wave Analysis with Lambda" Idea: Lambda Wave EMA creates sinusoid matching market cycles Setup: Lambda Base Period: 30 Lambda Wave Amplitude: 0.5 Lambda Wave Frequency: 50 (adjusted to asset cycle) How to find correct Frequency: Look at historical cycles (distance between local highs) Average distance = your Frequency Example: if highs every 40-60 bars, set Frequency = 50 Trading: Enter when Lambda Wave at bottom of sinusoid (growth potential) Exit when Lambda Wave at top (fall potential) Combine with STRONG signals Technique 4: "Cluster Analysis" Idea: When all EMAs gather in narrow cluster = powerful breakout soon Cluster signs: All EMAs (Phi, Pi, e, Delta) within 0.5-1% of each other Gradient Clouds almost invisible Price jumping around all EMAs Trading: Identify cluster (all EMAs close) Determine breakout direction (where more volume, higher TFs direction) Wait for breakout and STRONG signal Enter on confirmation Target = cluster size × 3-5 This is very powerful technique for big moves! Technique 5: "Sigma as Dynamic Level" Idea: Sigma Composite EMA = average of all EMAs = magnetic level Usage: Enable Sigma Composite (Weighted Average) Sigma works as dynamic support/resistance Price often returns to Sigma before trend continuation Trading: In trend: Enter on bounces from Sigma In range: Fade moves from Sigma (trade return to Sigma) On breakout: Sigma becomes support/resistance Risk Management Basic Rules 1. Position Size Conservative: 1% of capital per trade Moderate: 2% of capital per trade (recommended) Aggressive: 3-5% (only for experienced) Calculation formula: Lot Size = (Capital × Risk%) / (Stop in pips × Pip value) 2. Risk/Reward Ratio Minimum: 1:1.5 Standard: 1:2 (recommended) Optimal: 1:3 Aggressive: 1:5+ 3. Maximum Drawdown Daily: -3% to -5% Weekly: -7% to -10% Monthly: -15% to -20% Upon reaching limit → STOP trading until end of period Position Management Strategies 1. Fixed Stop Method: Stop below/above Fast EMA or local extreme DON'T move stop against position Can move to breakeven For whom: Beginners, conservative traders 2. Trailing by Fast EMA Method: Each day (or bar) move stop to Fast EMA level Position closes when price breaks Fast EMA Advantages: Stay in trend as long as possible Automatically exit on reversal For whom: Trend followers, swing traders 3. Partial Exit Method: 50% of position close at +2R 50% hold with trailing by Mid EMA or Slow EMA Advantages: Lock profit Leave position for big move Psychologically comfortable For whom: Universal method (recommended) 4. Pyramiding Method: First entry on STRONG signal (50% of planned position) Add 25% on pullback to Fast EMA Add another 25% on pullback to Mid EMA Overall stop below Slow EMA Advantages: Average entry price Reduce risk Increase profit in strong trends Caution: Works only in trends In range leads to losses For whom: Experienced traders Trading Psychology Correct Mindset 1. Indicator is a tool, not holy grail Indicator shows probability, not guarantee There will be losing trades - this is normal Important is series statistics, not one trade 2. Trust the system If STRONG signal appeared - enter Don't search for "perfect" moment Follow trading plan 3. Patience STRONG signals don't appear every day Better miss signal than enter against trend Quality over quantity 4. Discipline Always set stop loss Don't move stop against position Don't increase risk after losses Beginner Mistakes 1. "I know better than indicator" Indicator says STRONG BUY, but you think "too high, will wait for pullback" Result: miss profitable move Solution: Trust signals or don't use indicator 2. "Will reverse now for sure" Trading against STRONG trend Result: stops, stops, stops Solution: Trend is your friend, trade with trend 3. "Will hold a bit more" Don't exit when STRONG signal disappears Greed eats profit Solution: If signal gone - exit! 4. "I'll recover" After losses double risk Result: huge losses Solution: Fixed % risk ALWAYS 5. "I don't like this signal" Skip signals because of "feeling" Result: inconsistency, no statistics Solution: Trade ALL signals or clearly define filters Trading Journal What to Record For each trade: 1. Entry/exit date and time 2. Instrument and timeframe 3. Signal type Golden Cross STRONG BUY STRONG SELL Death Cross 4. Indicator settings Fast/Mid/Slow EMA Base Multiplier Other parameters 5. Chart screenshot Entry moment Exit moment 6. Trade parameters Position size Stop loss Take Profit R:R 7. Result Profit/Loss in $ Profit/Loss in % Profit/Loss in R 8. Notes What was right What was wrong Emotions during trade Lessons Journal Analysis Analyze weekly: 1. Win Rate Win Rate = (Profitable trades / All trades) × 100% Good: 50-60% Excellent: 60-70% Exceptional: 70%+ 2. Average R Average R = Sum of all R / Number of trades Good: +0.5R Excellent: +1.0R Exceptional: +1.5R+ 3. Profit Factor Profit Factor = Total profit / Total losses Good: 1.5+ Excellent: 2.0+ Exceptional: 3.0+ 4. Maximum Drawdown Track consecutive losses If more than 5 in row - stop, check system 5. Best/Worst Trades What was common in best trades? (do more) What was common in worst trades? (avoid) Pre-Trade Checklist Technical Analysis STRONG signal active (BUY or SELL) All EMAs properly aligned (Fast > Mid > Slow or reverse) Price on correct side of Fast EMA Gradient Clouds confirm trend Pulsing Bar shows STRONG state Momentum % in normal range (not overheated) No close strong levels against direction Higher timeframe doesn't contradict Risk Management Position size calculated (1-2% risk) Stop loss set Take profit calculated (minimum 1:2) R:R satisfactory Daily/weekly risk limit not exceeded No other open correlated positions Fundamental Analysis No important news in coming hours Market session appropriate (liquidity) No contradicting fundamentals Understand why asset is moving Psychology Calm and thinking clearly No emotions from previous trades Ready to accept loss at stop Following trading plan Not revenging market for past losses If at least one point is NO - think twice before entering! Learning Roadmap Week 1: Familiarization Goals: Install and configure indicator Study all EMA types Understand visualization Tasks: Add indicator to chart Test all Fast/Mid/Slow settings Play with Base Multiplier on different timeframes Observe Gradient Clouds and Pulsing Bar Study Info Table Result: Comfort with indicator interface Week 2: Signals Goals: Learn to recognize all signal types Understand difference between Golden Cross and STRONG Tasks: Find 10 Golden Cross examples in history Find 10 STRONG BUY examples in history Compare their results (which worked better) Set up alerts Get 5 real alerts Result: Understanding signals Week 3: Demo Trading Goals: Start trading signals on demo account Gather statistics Tasks: Open demo account Trade ONLY STRONG signals Keep journal (minimum 20 trades) Don't change indicator settings Strictly follow stop losses Result: 20+ documented trades Week 4: Analysis Goals: Analyze demo trading results Optimize approach Tasks: Calculate win rate and average R Find patterns in profitable trades Find patterns in losing trades Adjust approach (not indicator!) Write trading plan Result: Trading plan on 1 page Month 2: Improvement Goals: Deepen understanding Add additional techniques Tasks: Study multi-timeframe analysis Test combinations with Price Action Try advanced techniques (divergences, tunnels) Continue demo trading (minimum 50 trades) Achieve stable profitability on demo Result: Win rate 55%+ and Profit Factor 1.5+ Month 3: Real Trading Goals: Transition to real account Maintain discipline Tasks: Open small real account Trade minimum lots Strictly follow trading plan DON'T increase risk Focus on process, not profit Result: Psychological comfort on real Month 4+: Scaling Goals: Increase account Become consistently profitable Tasks: With 60%+ win rate can increase risk to 2% Upon doubling account can add capital Continue keeping journal Periodically review and improve strategy Share experience with community Result: Stable profitability month after month Additional Resources Recommended Reading Technical Analysis: "Technical Analysis of Financial Markets" - John Murphy "Trading in the Zone" - Mark Douglas (psychology) "Market Wizards" - Jack Schwager (trader interviews) EMA and Moving Averages: "Moving Averages 101" - Steve Burns Articles on Investopedia about EMA Risk Management: "The Mathematics of Money Management" - Ralph Vince "Trade Your Way to Financial Freedom" - Van K. Tharp Trading Journals: Edgewonk (paid, very powerful) Tradervue (free version + premium) Excel/Google Sheets (free) Screeners: TradingView Stock Screener Finviz (stocks) CoinMarketCap (crypto) Conclusion Hellenic EMA Matrix is a powerful tool based on universal mathematical constants of nature. The indicator combines: Mathematical elegance - Phi, Pi, e instead of arbitrary numbers Premium visualization - Neon Glow, Gradient Clouds, Pulsing Bar Reliable signals - STRONG BUY/SELL work on all timeframes Flexibility - 6 EMA types, adaptation to any trading style Automation - auto-sorting EMAs, SL/TP calculation, alerts Key Success Principles: Simplicity - start with basic settings (Phi/Pi/e, Base=10) Discipline - follow STRONG signals strictly Patience - wait for quality setups Risk Management - 1-2% per trade, ALWAYS Journal - document every trade Learning - constantly improve skills Remember: Indicator shows probability, not guarantee Important is series statistics, not one trade Psychology more important than technique Quality more important than quantity Process more important than result Acknowledgments Thank you for using Hellenic EMA Matrix - Alpha Omega Premium! The indicator was created with love for mathematics, markets, and beautiful visualization. Wishing you profitable trading! Guide Version: 1.0 Date: 2025 Compatibility: Pine Script v6, TradingView "In the simplicity of mathematical constants lies the complexity of market movements"
Indicatore Pine Script®
di Sesilya
Cnagda Pure Price ActionCnagda Pure Price Action (CPPA) indicator is a pure price action-based system designed to provide traders with real-time, dynamic analysis of the market. It automatically identifies key candles, support and resistance zones, and potential buy/sell signals by combining price, volume, and multiple popular trend indicators. How Price Action & Volume Analysis Works Silver Zone – Logic, Reason, and Trade Planning Logic & Visualization: The Silver Zone is created when the closing price is the lowest in the chosen window and volume is the highest in that window. Visually, a large silver-colored box/rectangle appears on the chart. Thick horizontal lines (top and bottom) are drawn at the high and low of that candle/bar, extending to the right. Reasoning: This combination typically occurs at strong “accumulation” or support areas: Sellers push the price down to the lowest point, but aggressive buyers step in with high volume, absorbing supply. Indicates potential exhaustion of selling and likely shift in market control to buyers. How to Plan Trades Using Silver Zone: Watch if price returns to the Silver Zone in the future: It often acts as powerful support. Bullish entries (buys) can be planned when price tests or slightly pierces this zone, especially if new buy signals occur (like yellow/green candle labels). Place your stop-loss below the bottom line of the Silver Zone. Target: Look for the nearest resistance or opposing zone, or use indicator’s bullish label as confirmation. Extra Tip: Multiple touches of the Silver Zone reinforce its importance, but if price closes deeply below it with high volume, that’s a caution signal—support may be breaking. Black Zone – Logic, Reason, and Trade Planning (as CPPA): Logic & Visualization: The Black Zone is created when the closing price is the highest in the chosen window and volume is the lowest in that window. Visually, a large black-colored box/rectangle appears on the chart, along with thick horizontal lines at the top (high) and bottom (low) of the candle, extending to the right. Reasoning: This combination signals a strong “distribution” or resistance area: Buyers push the price up to a local high, but low volume means there is not much follow-through or conviction in the move. Often marks exhaustion where uptrend may pause or reverse, as sellers can soon step in. How to Plan Trades Using Black Zone: If price revisits the Black Zone in the future, it often acts as major resistance. Bearish entries (sells) are considered when price is near, testing, or slightly above the Black Zone—especially if new sell signals appear (like blue/red candle labels). Place your stop-loss just above the top line of the Black Zone. Target: Nearest support zone (such as a Silver Zone) or next indicator’s bearish label. Extra Tip: Multiple touches of the Black Zone make it stronger, but if price closes far above with rising volume, be cautious—resistance might be breaking. Support Line – Logic, Reason, and Trade Planning (as Cppa): Logic & Visualization: The Support Line is a dynamically drawn dashed line (usually blue) that marks key price levels where the market has previously shown significant buying interest. The line is generated whenever a candle forms a high price with high volume (orange logic). The script checks for historical pivot lows, past support zones, and even higher timeframe (HTF) supports, and then extends a blue dashed line from that price level to the right, labeling it (sometimes as “Prev Support Orange, HTF”). Reasoning: This line helps you visually identify where demand has been strong enough to hold price from falling further—essentially a floor in the market used by professional traders. If price approaches or re-tests this line, there’s a good chance buyers will defend it again. How to Plan Trades Using Support Line: Watch for price to approach the Support Line during down moves. If you see a bullish candlestick pattern, buy labels (yellow/green), or other indicators aligning, this can be a high-probability entry zone. Great for planning stop-loss for long trades: place stops just below this line. Target: Next resistance zone, Black Zone, or the top of the last swing. Extra Tip: Multiple confirmations (support line + Silver Zone + bullish label) provide powerful entry signals. If price closes strongly below the Support Line with volume, be cautious—support may be breaking, and a trend reversal or deeper correction could follow. Resistance Line – Logic, Reason, and Trade Planning (from CPPA): Logic & Visualization: The Resistance Line is a dynamically drawn dashed line (usually purple or red) that identifies price levels where the market has previously faced significant selling pressure. This line is created when a candle reaches a high price combined with high volume (orange logic), or from a historical pivot high/resistance, The script also tracks higher timeframe (HTF) resistance lines, labeled as “Prev Resistance Orange, HTF,” and extends these dashed lines to the right across the chart. Reasoning: Resistance Lines are visual markers of “supply zones,” where buyers previously failed, and sellers took control. If the price returns to this line later, sellers may get active again to defend this level, halting the uptrend. How to Plan Trades Using Resistance Line: Watch for price to approach the Resistance Line during up moves. If you see bearish candlestick patterns, sell labels (blue/red), or bearish indicator confirmation, this becomes a strong shorting opportunity. Perfect for placing stop-loss in short trades—put your stop just above the Resistance Line. Target: Next support zone (Silver Zone) or bottom of the last swing. If the price breaks above with high volume, avoid shorting—resistance may be failing. Extra Tip: Multiple resistances (Resistance Line + Black Zone + bearish label) make short signals stronger. Choppy movement around this line often signals indecision; wait for a clear rejection before entering trades. Bullish / Bearish Label – Logic, Reason, and Trade Planning: Logic & Visualization: The indicator constantly calculates a "Bull Score" and a "Bear Score" based on several factors: Trend direction from price slope Confirmation by popular indicators (RSI, ADX, SAR, CMF, OBV, CCI, Bollinger Bands, TWAP) Adaptive scoring (higher score for each bullish/bearish condition met) If Bull Score > Bear Score, the chart displays a green "BULLISH" label (usually below the bar). If Bear Score > Bull Score, the chart displays a red "BEARISH" label (usually above the bar). If neither dominates, a "NEUTRAL" label appears. Reasoning: The labels summarize complex price action and indicator analysis into a simple, actionable sentiment cue: Bullish: Majority of conditions indicate buying strength; trend is up. Bearish: Majority signals show selling pressure; trend is down. How to Use in Trade Planning: Use the Bullish label as confirmation to enter or hold long (buy) positions, especially if near support/Silver Zone. Use the Bearish label to enter/hold short (sell) positions, especially if near resistance/Black Zone. For best results, combine with candle color, volume analysis, or other labels (yellow/green for buys, blue/red for sells). Avoid trading against these labels unless you have strong confluence from zones/support levels. Yellow Label (Buy Signal) – Logic, Reason & Trade Planning: Logic & Visualization: The yellow label appears below a candle (label.style_label_up, yloc.belowbar) and marks a potential buy signal. Script conditions: The candle must be a “yellow candle” (which means it’s at the local lowest close, not a high, with normal volume). Volume is decreasing for 2 consecutive candles (current volume < previous volume, previous volume < second previous). When these conditions are met, a yellow label is plotted below the candle. Reasoning: This scenario often marks the end of selling pressure and start of possible accumulation—buyers may be stepping in as sellers exhaust. Decreasing volume during a local price low means selling is slowing, possibly hinting at a reversal. How to Trade Using Yellow Label: Entry: Consider buying at/just above the yellow-labeled candle’s close. Stop-loss: A bit below the candle’s low (or Silver Zone line, if present). Target: Next resistance level, Black Zone, or chart’s bullish label. Extra Tip: If the yellow label is found at/near a Silver Zone or Support Line, and trend is “Bullish,” the setup gets even stronger. Avoid trading if overall indicator shows “Bearish.” Green Label (Buy with Increasing Volume) – Logic, Reason & Trade Planning: Logic & Visualization: The green label is plotted below a candle (label.style_label_up, yloc.belowbar) and marks a strong buy signal. Script conditions: The candle must be a “yellow candle” (at the local lowest close, normal volume). Volume is increasing for 2 consecutive candles (current volume > previous volume, previous volume > second previous). When these conditions are met, a green label is plotted below the candle. Reasoning: This scenario signals that buyers are stepping in aggressively at a local price low—the end of a downtrend with strong, rising activity. Increasing volume at a price low is a classic sign of accumulation, where institutions or large players may be buying. How to Trade Using Green Label: Entry: Consider buying at/just above the green-labeled candle’s close for a momentum-based reversal. Stop-loss: Slightly below the candle’s low, or the Silver Zone/support line if present. Target: Nearest resistance zone/Black Zone, indicator’s bullish label, or next swing high. Extra Tip: If the green label is near other supports (Silver Zone, Support Line), the setup is extra strong. Use confirmation from Bullish labels or trend signals for best results. Green label setups are suitable for quick, high momentum trades due to increasing volume Blue Label (Sell Signal on Decreasing Volume) – Logic, Reason & Trade Planning: Logic & Visualization: The blue label is plotted above a candle (label.style_label_down, yloc.abovebar) as a potential sell signal. Script conditions: The candle is a “blue candle” (local highest close, but not also lowest, and volume is neither highest nor lowest). Volume is decreasing over 2 consecutive candles (current volume < previous, previous < two ago). When these match, a blue label appears above the candle. Reasoning: This typically signals buyer exhaustion at a local high: price has gone up, but volume is dropping, suggesting big players may not be buying any more at these levels. The trend is losing strength, and a reversal or pullback is likely. How to Trade Using Blue Label: Entry: Look to sell at/just below the candle with the blue label. Stop-loss: Just above the candle’s high (or above the Black Zone/resistance if present). Target: Nearest support, Silver Zone, or a swing low. Extra Tip: Blue label signals are stronger if they appear near Black Zones or Resistance Lines, or when the general market label is "Bearish." As with buy setups, always check for confirmation from trend or volume before trading aggressively. Blue Label (Sell Signal on Decreasing Volume) – Logic, Reason & Trade Planning: Logic & Visualization: The blue label is plotted above a candle (label.style_label_down, yloc.abovebar) as a potential sell signal. Script conditions: The candle is a “blue candle” (local highest close, but not also lowest, and volume is neither highest nor lowest). Volume is decreasing over 2 consecutive candles (current volume < previous, previous < two ago). When these match, a blue label appears above the candle. Reasoning: This typically signals buyer exhaustion at a local high: price has gone up, but volume is dropping, suggesting big players may not be buying any more at these levels. The trend is losing strength, and a reversal or pullback is likely. How to Trade Using Blue Label: Entry: Look to sell at/just below the candle with the blue label. Stop-loss: Just above the candle’s high (or above the Black Zone/resistance if present). Target: Nearest support, Silver Zone, or a swing low. Extra Tip: Blue label signals are stronger if they appear near Black Zones or Resistance Lines, or when the general market label is "Bearish." As with buy setups, always check for confirmation from trend or volume before trading aggressively. Here’s a summary of all key chart labels, zones, and trading logic of your Price Action script: Silver Zone: Powerful support zone. Created at lowest close + highest volume. Best for buy entries near its lines. Black Zone: Strong resistance zone. Created at highest close + lowest volume. Ideal for short trades near its levels. Support Line: Blue dashed line at historical demand; buyers defend here. Look for bullish setups when price approaches. Resistance Line: Purple/red dashed line at supply; sellers defend here. Great for bearish setups when price nears. Bullish/Bearish Labels: Summarize trend direction using price action + multiple indicator confirmations. Plan buys, holds on bullish; sells, shorts on bearish. Yellow Label: Buy signal on decreasing volume and local price low. Entry above candle, stop below, target next resistance. Green Label: Strong buy on increasing volume at a price low. Entry for momentum trade, stop below, target next zone. Blue Label: Sell signal on dropping volume and local price high. Entry below candle, stop above, target next support. Best Practices: Always combine zone/label signals for higher probability trades. Use stop-loss near zones/lines for risk management. Prefer trading in the trend direction (bullish/bearish label agrees with your entry). if Any Question, Suggestion Feel free to ask Disclaimer: All information provided by this indicator is for educational and analysis purposes only, and should not be considered financial advice.
Indicatore Pine Script®
di cnagda3
11
RSI DCA StrategyThis strategy combines RSI oversold signals with a Dollar-Cost Averaging (DCA) buying approach. Trigger: When the RSI (Relative Strength Index) crosses below 30, the strategy marks an oversold condition. DCA Entry: Once triggered, the strategy executes up to three consecutive daily entries (1 per day), splitting the predefined capital equally (configurable by user). Position Management: Take Profit at a configurable % above the average entry price. Stop Loss at a configurable % below the average entry price. Exit Conditions: The strategy automatically exits either on reaching Take Profit or Stop Loss. Visualization: RSI plotted with oversold line (30). Take Profit and Stop Loss lines displayed after entry. Performance Reporting: Includes an optional monthly performance table for evaluating results by month. Note: This strategy is for testing RSI-based mean reversion with staggered entries. It is not financial advice and should be optimized and validated for each market or timeframe before practical use.
Strategia Pine Script®
di BurbinLee
Cnagda Liquidit Trading SystemCnagda Liquidit Trading System helps spot where price is likely to trap traders and reverse, then gives simple, actionable Level to entry, place SL, and take profits with confidence. It blends imbalance zones, trend bias, order blocks, liquidity pools, high-probability fake Signal, and context-aware candle patterns into one clean workflow. 🟩🟥 Imbalance boxes: “Crowd rushed, gaps left” What it is: Green/red boxes mark fast, one-sided moves where price “skipped” orders—think FVG-like zones that often get revisited. Why it helps: Price frequently pulls back to “fill” these zones, creating clean retest entries with logical stops. ⏩How to use: Green box = potential demand retest; Red box = potential supply retest. Enter on pullback into box, not on first impulse. Put stop on far side of box and aim first targets at recent swing points. ↕️ Swing bias (HH/HL vs LH/LL): “Which way is the road?” What it is: Higher-highs/higher-lows = up-bias; Lower-highs/lower-lows = down-bias. system plots Buy/Sell OB levels aligned with that bias. Why it helps: Trading with the broader flow reduces “hero trades” against institutions. Bias gives clearer entries and cleaner drawdowns. ⏩How to use: Up-bias: look for long on Buy OB retests. Down-bias: look for short on Sell OB retests. Wait for a small rejection/engulfing to confirm before triggering. 🧱Order blocks: “Where big players remember” What it is: last opposite-colored candle before an impulsive move—these zones often hold memory and reaction. system plots these as Buy/Sell OB lines. Why it helps: Many breakouts pull back to the origin. Good entries often happen on retest, not on the breakout chase. ⏩ How to use: Let price return into the OB, show wick rejection, and decent volume. Enter with stop beyond OB; define risk-reward before entry. 📊Volume coloring: “How Volume is move?” What it is: Bar color reflects relative volume; inside bars are black. The dashboard also shows Volume and “Volume vs Prev.” Why it helps: Patterns without volume often fade; volume validates strength and intent of moves. ⏩ How to use: Favor entries where imbalance/OB/liquidity-grab coincide with higher volume. If volume is weak, reduce size or skip. 🧲 BSL/SSL liquidity pools: “Fishing for stops” What it is: Equal highs cluster stops above (BSL); equal lows cluster stops below (SSL). system plots these and highlights the nearest one (“magnet”). Why it helps: Price often sweeps these pools to trigger stops before reversing. This is a prime trap-reversal location. ⏩ How to use: Watch nearest BSL/SSL. If price wicks through and closes back inside, anticipate a reversal. Trade reaction, not first poke. When price closes beyond, consider that pool mitigated and move on. 🟢🔴 Advanced liquidity grab: “Catch fakeout” What it is: Bullish grab = makes a new low beyond a prior low but closes back above it, with a long lower wick, small body, and higher volume. Bearish is mirror. Labeled automatically. Why it helps: It exposes trap moves (stop hunts) and often precedes true direction. ⏩ How to use: Best when it aligns with a nearby imbalance/OB and supportive volume. Enter on reversal candle break or on retest. Stop goes beyond sweep wick. 🧠 Smart candlestick patterns (only in right place) What it is: Engulfing, Hammer, Shooting Star, Hanging Man, Doji (with high volume), Morning/Evening Star, Piercing—but marked “effective” only if context (swing/trend/location) agrees. Why it helps: same pattern in the wrong place is noise; in the right place, it’s signal. ⏩ How to use: Location first (BSL/SSL/OB/imbalance), then pattern. Treat pattern as trigger/confirmation—one fresh label shows to keep chart clean. 🧭 Dashboard: “Context in a glance” ⏩ Reversal Level: current swing anchor—expect turns or reactions nearby; great for alerts and planning. ⏩ Volume vs Prev + Volume: Strength meter for signal candle—higher adds conviction. ⏩ Nearest Pool: next “magnet” area—look for sweeps/rejections there. 🧩Step-by-step trading flow (with mindset) ⏩ Set bias: HH/HL = long bias, LH/LL = short bias. Counter-trend only on clean sweeps with strong confirmation. ⏩ Find magnet: Check Nearest Pool (BSL/SSL). Focus attention there; it saves screen time. ⏩ Wait for event: Look for a sweep/grab label, or sharp rejection at pool/OB/imbalance. Avoid FOMO. ⏩ Add confluence: Stack 2–3 of these—imbalance box, OB, contextual pattern, supportive volume. ⏩Plan entry: Bullish: trigger above reversal candle high or take retest of FVG/OB. Stop below sweep wick/zone. Target at least 1:1.5–1:2. Bearish: mirror above. ⏩Manage smartly: Take partials, move to breakeven or trail thoughtfully. Don’t drag stops inside zone out of emotion. 🎛️ Parameter tuning (to reduce human error) ⏩ swingLen: Smaller = faster but noisier; larger = cleaner but slower. Backtest first, then go live. ⏩ Tolerance (ATR or percent): ATR tolerance adapts to volatility (good for fast markets and lower TFs). Start around 0.15–0.30. In calm markets, try percent 0.05–0.15%. ⏩ minBarsGap: Start with 3–5 so equal highs/lows are truly equal—reduces false pools. ❌Common mistakes → ✅ Better habits ⏩Chasing every breakout → Wait for sweep/rejection, then confirm. ⏩Ignoring volume → Validate strength; cut size or skip on weak volume. ⏩Losing history of pools → If reviewing/backtesting, keep mitigated pools visible (dashed/faded). ⏩Over-tight tolerance/too small swingLen → Increases false signals; backtest to find balance. 📝 checklist (before entry) ⏩ Is there a nearby BSL/SSL and did a sweep/grab happen there? ⏩ Is there a close imbalance/OB that price can retest? ⏩ Do we have an effective pattern plus supportive volume? ⏩Is the stop beyond the wick/zone and RR ≥ 1:1.5? •?((¯°·._.• 🎀 𝐻𝒶𝓅𝓅𝓎 𝒯𝓇𝒶𝒹𝒾𝓃𝑔 🎀 •._.·°¯((?•
Indicatore Pine Script®
di cnagda3
Dual Volume Profiles: Session + Rolling (Range Delineation)Dual Volume Profiles: Session + Rolling (Range Delineation) INTRO This is a probability-centric take on volume profile. I treat the volume histogram as an empirical PDF over price, updated in real time, which makes multi-modality (multiple acceptance basins) explicit rather than assumed away. The immediate benefit is operational: if we can read the shape of the distribution, we can infer likely reversion levels (POC), acceptance boundaries (VAH/VAL), and low-friction corridors (LVNs). My working hypothesis is that what traders often label “fat tails” or “power-law behavior” at short horizons is frequently a tail-conditioned view of a higher-level Gaussian regime. In other words, child distributions (shorter periodicities) sit within parent distributions (longer periodicities); when price operates in the parent’s tail, the child regime looks heavy-tailed without being fundamentally non-Gaussian. This is consistent with a hierarchical/mixture view and with the spirit of the central limit theorem—Gaussian structure emerges at aggregate scales, while local scales can look non-Gaussian due to nesting and conditioning. This indicator operationalizes that view by plotting two nested empirical PDFs: a rolling (local) profile and a session-anchored profile. Their confluence makes ranges explicit and turns “regime” into something you can see. For additional nesting, run multiple instances with different lookbacks. When using the default settings combined with a separate daily VP, you effectively get three nested distributions (local → session → daily) on the chart. This indicator plots two nested distributions side-by-side: Rolling (Local) Profile — short-window, prorated histogram that “breathes” with price and maps the immediate auction. Session Anchored Profile — cumulative distribution since the current session start (Premkt → RTH → AH anchoring), revealing the parent regime. Use their confluence to identify range floors/ceilings, mean-reversion magnets, and low-volume “air pockets” for fast traverses. What it shows POC (dashed): central tendency / “magnet” (highest-volume bin). VAH & VAL (solid): acceptance boundaries enclosing an exact Value Area % around each profile’s POC. Volume histograms: Rolling can auto-color by buy/sell dominance over the lookback (green = buying ≥ selling, red = selling > buying). Session uses a fixed style (blue by default). Session anchoring (exchange timezone): Premarket → anchors at 00:00 (midnight). RTH → anchors at 09:30. After-hours → anchors at 16:00. Session display span: Session Max Span (bars) = 0 → draw from session start → now (anchored). > 0 → draw a rolling window N bars back → now, while still measuring all volume since session start. Why it’s useful Think in terms of nested probability distributions: the rolling node is your local Gaussian; the session node is its parent. VA↔VA overlap ≈ strong range boundary. POC↔POC alignment ≈ reliable mean-reversion target. LVNs (gaps) ≈ low-friction corridors—expect quick moves to the next node. Quick start Add to chart (great on 5–10s, 15–60s, 1–5m). Start with: bins = 240, vaPct = 0.68, barsBack = 60. Watch for: First test & rejection at overlapping VALs/VAHs → fade back toward POC. Acceptance beyond VA (several closes + growing outer-bin mass) → traverse to the next node. Inputs (detailed) General Lookback Bars (Rolling) Count of most-recent bars for the rolling/local histogram. Larger = smoother node that shifts slower; smaller = more reactive, “breathing” profile. • Typical: 40–80 on 5–10s charts; 60–120 on 1–5m. • If you increase this but keep Number of Bins fixed, each bin aggregates more volume (coarser bins). Number of Bins Vertical resolution (price buckets) for both rolling and session histograms. Higher = finer detail and crisper LVNs, but more line objects (closer to platform limits). • Typical: 120–240 on 5–10s; 80–160 on 1–5m. • If you hit performance or object limits, reduce this first. Value Area % Exact central coverage for VAH/VAL around POC. Computed empirically from the histogram (no Gaussian assumption): the algorithm expands from POC outward until the chosen % is enclosed. • Common: 0.68 (≈“1σ-like”), 0.70 for slightly wider core. • Smaller = tighter VA (more breakout flags). Larger = wider VA (more reversion bias). Max Local Profile Width (px) Horizontal length (in pixels) of the rolling bars/lines and its VA/POC overlays. Visual only (does not affect calculations). Session Settings RTH Start/End (exchange tz) Defines the current session anchor (Premkt=00:00, RTH=your start, AH=your end). The session histogram always measures from the most recent session start and resets at each boundary. Session Max Span (bars, 0 = full session) Display window for session drawings (POC/VA/Histogram). • 0 → draw from session start → now (anchored). • > 0 → draw N bars back → now (rolling look), while still measuring all volume since session start. This keeps the “parent” distribution measurable while letting the display track current action. Local (Rolling) — Visibility Show Local Profile Bars / POC / VAH & VAL Toggle each overlay independently. If you approach object limits, disable bars first (POC/VA lines are lighter). Local (Rolling) — Colors & Widths Color by Buy/Sell Dominance Fast uptick/downtick proxy over the rolling window (close vs open): • Buying ≥ Selling → Bullish Color (default lime). • Selling > Buying → Bearish Color (default red). This color drives local bars, local POC, and local VA lines. • Disable to use fixed Bars Color / POC Color / VA Lines Color. Bars Transparency (0–100) — alpha for the local histogram (higher = lighter). Bars Line Width (thickness) — draw thin-line profiles or chunky blocks. POC Line Width / VA Lines Width — overlay thickness. POC is dashed, VAH/VAL solid by design. Session — Visibility Show Session Profile Bars / POC / VAH & VAL Independent toggles for the session layer. Session — Colors & Widths Bars/POC/VA Colors & Line Widths Fixed palette by design (default blue). These do not change with buy/sell dominance. • Use transparency and width to make the parent profile prominent or subtle. • Prefer minimal? Hide session bars; keep only session VA/POC. Reading the signals (detailed playbook) Core definitions POC — highest-volume bin (fair price “magnet”). VAH/VAL — upper/lower bounds enclosing your Value Area % around POC. Node — contiguous block of high-volume bins (acceptance). LVN — low-volume gap between nodes (low friction path). Rejection vs Acceptance (practical rule) Rejection at VA edge: 0–1 closes beyond VA and no persistent growth in outer bins. Acceptance beyond VA: ≥3 closes beyond VA and outer-bin mass grows (e.g., added volume beyond the VA edge ≥ 5–10% of node volume over the last N bars). Treat acceptance as regime change. Confluence scores (make boundary/target quality objective) VA overlap strength (range boundary): C_VA = 1 − |VA_edge_local − VA_edge_session| / ATR(n) Values near 1.0 = tight overlap (stronger boundary). Use: if C_VA ≥ 0.6–0.8, treat as high-quality fade zone. POC alignment (magnet quality): C_POC = 1 − |POC_local − POC_session| / ATR(n) Higher C_POC = greater chance a rotation completes to that fair price. (You can estimate these by eye.) Setups 1) Range Fade at VA Confluence (mean reversion) Context: Local VAL/VAH near Session VAL/VAH (tight overlap), clear node, local color not screaming trend (or flips to your side). Entry: First test & rejection at the overlapped band (wick through ok; prefer close back inside). Stop: A tick/pip beyond the wider of the two VA edges or beyond the nearest LVN, a small buffer zone can be used to judge whether price is truly rejecting a VAL/VAH or simply probing. Targets: T1 node mid; T2 POC (size up when C_POC is high). Flip: If acceptance (rule above) prints, flip bias or stand down. 2) LVN Traverse (continuation) Context: Price exits VA and enters an LVN with acceptance and growing outer-bin volume. Entry: Aggressive—first close into LVN; Conservative—retest of the VA edge from the far side (“kiss goodbye”). Stop: Back inside the prior VA. Targets: Next node’s VA edge or POC (edge = faster exits; POC = fuller rotations). Note: Flatter VA edge (shallower curvature) tends to breach more easily. 3) POC→POC Magnet Trade (rotation completion) Context: Local POC ≈ Session POC (high C_POC). Entry: Fade a VA touch or pullback inside node, aiming toward the shared POC. Stop: Past the opposite VA edge or LVN beyond. Target: The shared POC; optional runner to opposite VA if the node is broad and time-of-day is supportive. 4) Failed Break (Reversion Snap-back) Context: Push beyond VA fails acceptance (re-enters VA, outer-bin growth stalls/shrinks). Entry: On the re-entry close, back toward POC. Stop/Target: Stop just beyond the failed VA; target POC, then opposite VA if momentum persists. How to read color & shape Local color = most recent sentiment: Green = buying ≥ selling; Red = selling > buying (over the rolling window). Treat as context, not a standalone signal. A green local node under a blue session VAH can still be a fade if the parent says “over-valued.” Shape tells friction: Fat nodes → rotation-friendly (fade edges). Sharp LVN gaps → traversal-friendly (momentum continuation). Time-of-day intuition Right after session anchor (e.g., RTH 09:30): Session profile is young and moves quickly—treat confluence cautiously. Mid-session: Cleanest behavior for rotations. Close / news: Expect more traverses and POC migrations; tighten risk or switch playbooks. Risk & execution guidance Use tight, mechanical stops at/just beyond VA or LVN. If you need wide stops to survive noise, your entry is late or the node is unstable. On micro-timeframes, account for fees & slippage—aim for targets paying ≥2–3× average cost. If acceptance prints, don’t fight it—flip, reduce size, or stand aside. Suggested presets Scalp (5–10s): bins 120–240, barsBack 40–80, vaPct 0.68–0.70, local bars thin (small bar width). Intraday (1–5m): bins 80–160, barsBack 60–120, vaPct 0.68–0.75, session bars more visible for parent context. Performance & limits Reuses line objects to stay under TradingView’s max_lines_count. Very large bins × multiple overlays can still hit limits—use visibility toggles (hide bars first). Session drawings use time-based coordinates to avoid “bar index too far” errors. Known nuances Rolling buy/sell dominance uses a simple uptick/downtick proxy (close vs open). It’s fast and practical, but it’s not a full tape classifier. VA boundaries are computed from the empirical histogram—no Gaussian assumption. This script does not calculate the full daily volume profile. Several other tools already provide that, including TradingView’s built-in Volume Profile indicators. Instead, this indicator focuses on pairing a rolling, short-term volume distribution with a session-wide distribution to make ranges more explicit. It is designed to supplement your use of standard or periodic volume profiles, not replace them. Think of it as a magnifying lens that helps you see where local structure aligns with the broader session. How to trade it (TL;DR) Fade overlapping VA bands on first rejection → target POC. Continue through LVN on acceptance beyond VA → target next node’s VA/POC. Respect acceptance: ≥3 closes beyond VA + growing outer-bin volume = regime change. FAQ Q: Why 68% Value Area? A: It mirrors the “~1σ” idea, but we compute it exactly from empirical volume, not by assuming a normal distribution. Q: Why are my profiles thin lines? A: Increase Bars Line Width for chunkier blocks; reduce for fine, thin-line profiles. Q: Session bars don’t reach session start—why? A: Set Session Max Span (bars) = 0 for full anchoring; any positive value draws a rolling window while still measuring from session start. Changelog (v1.0) Dual profiles: Rolling + Session with independent POC/VA lines. Session anchoring (Premkt/RTH/AH) with optional rolling display span. Dynamic coloring for the rolling profile (buying vs selling). Fully modular toggles + per-feature colors/widths. Thin-line rendering via bar line width.
Indicatore Pine Script®
di garysebastianbrowniii
RifleShooterLibLibrary "RifleShooterLib" Provides a collection of helper functions in support of the Rifle Shooter Indicators. Functions support the key components of the Rifle Trade algorithm including * measuring momentum * identifying paraboloic price action (to disable the algorthim during such time) * determine the lookback criteria of X point movement in last N minutes * processing and navigating between the 23/43/73 levels * maintaining a status table of algorithm progress toStrRnd(val, digits)   Parameters:      val (float)      digits (int) _isValidTimeRange(startTimeInput, endTimeInput)   Parameters:      startTimeInput (string)      endTimeInput (string) _normalize(_src, _min, _max)   _normalize Normalizes series with unknown min/max using historical min/max.   Parameters:      _src (float) : Source series to normalize      _min (float) : minimum value of the rescaled series      _max (float) : maximum value of the rescaled series   Returns: The series scaled with values between min and max arrayToSeries(arrayInput)   arrayToSeries Return an array from the provided series.   Parameters:      arrayInput (array) : Source array to convert to a series   Returns: The array as a series datatype f_parabolicFiltering(_activeCount, long, shooterRsi, shooterRsiLongThreshold, shooterRsiShortThreshold, fiveMinuteRsi, fiveMinRsiLongThreshold, fiveMinRsiShortThreshold, shooterRsiRoc, shooterRsiRocLongThreshold, shooterRsiRocShortThreshold, quickChangeLookbackBars, quckChangeThreshold, curBarChangeThreshold, changeFromPrevBarThreshold, maxBarsToholdParabolicMoveActive, generateLabels)   f_parabolicFiltering Return true when price action indicates a parabolic active movement based on the provided inputs and thresholds.   Parameters:      _activeCount (int)      long (bool)      shooterRsi (float)      shooterRsiLongThreshold (float)      shooterRsiShortThreshold (float)      fiveMinuteRsi (float)      fiveMinRsiLongThreshold (float)      fiveMinRsiShortThreshold (float)      shooterRsiRoc (float)      shooterRsiRocLongThreshold (float)      shooterRsiRocShortThreshold (float)      quickChangeLookbackBars (int)      quckChangeThreshold (int)      curBarChangeThreshold (int)      changeFromPrevBarThreshold (int)      maxBarsToholdParabolicMoveActive (int)      generateLabels (bool) rsiValid(rsi, buyThreshold, sellThreshold)   rsiValid Returns true if the provided RSI value is withing the associated threshold. For the unused threshold set it to na   Parameters:      rsi (float)      buyThreshold (float)      sellThreshold (float) squezeBands(source, length)   squezeBands Returns the squeeze bands momentum color of current source series input   Parameters:      source (float)      length (int) f_momentumOscilator(source, length, transperency)   f_momentumOscilator Returns the squeeze pro momentum value and bar color states of the series input   Parameters:      source (float)      length (int)      transperency (int) f_getLookbackExtreme(lowSeries, highSeries, lbBars, long)   f_getLookbackExtreme Return the highest high or lowest low over the look back window   Parameters:      lowSeries (float)      highSeries (float)      lbBars (int)      long (bool) f_getInitialMoveTarget(lbExtreme, priveMoveOffset, long)   f_getInitialMoveTarget Return the point delta required to achieve an initial rifle move (X points over Y lookback)   Parameters:      lbExtreme (float)      priveMoveOffset (int)      long (bool) isSymbolSupported(sym)   isSymbolSupported Return true if provided symbol is one of the supported DOW Rifle Indicator symbols   Parameters:      sym (string) getBasePrice(price)   getBasePrice Returns integer portion of provided float   Parameters:      price (float) getLastTwoDigitsOfPrice(price)   getBasePrice Returns last two integer numerals of provided float value   Parameters:      price (float) getNextLevelDown(price, lowestLevel, middleLevel, highestLevel)   getNextLevelDown Returns the next level above the provided price value   Parameters:      price (float)      lowestLevel (float)      middleLevel (float)      highestLevel (float) getNextLevelUp(price, lowestLevel, middleLevel, highestLevel)   getNextLevelUp Returns the next level below the provided price value   Parameters:      price (float)      lowestLevel (float)      middleLevel (float)      highestLevel (float) isALevel(price, lowestLevel, middleLevel, highestLevel)   isALevel Returns true if the provided price is onve of the specified levels   Parameters:      price (float)      lowestLevel (float)      middleLevel (float)      highestLevel (float) getClosestLevel(price, lowestLevel, middleLevel, highestLevel)   getClosestLevel Returns the level closest to the price value provided   Parameters:      price (float)      lowestLevel (float)      middleLevel (float)      highestLevel (float) f_fillSetupTableCell(_table, _col, _row, _text, _bgcolor, _txtcolor, _text_size)   f_fillSetupTableCell Helper function to fill a setup table celll   Parameters:      _table (table)      _col (int)      _row (int)      _text (string)      _bgcolor (color)      _txtcolor (color)      _text_size (string) f_fillSetupTableRow(_table, _row, _col0Str, _col1Str, _col2Str, _bgcolor, _textColor, _textSize)   f_fillSetupTableRow Helper function to fill a setup table row   Parameters:      _table (table)      _row (int)      _col0Str (string)      _col1Str (string)      _col2Str (string)      _bgcolor (color)      _textColor (color)      _textSize (string) f_addBlankRow(_table, _row)   f_addBlankRow Helper function to fill a setup table row with empty values   Parameters:      _table (table)      _row (int) f_updateVersionTable(versionTable, versionStr, versionDateStr)   f_updateVersionTable Helper function to fill the version table with provided values   Parameters:      versionTable (table)      versionStr (string)      versionDateStr (string) f_updateSetupTable(_table, parabolicMoveActive, initialMoveTargetOffset, initialMoveAchieved, shooterRsi, shooterRsiValid, rsiRocEnterThreshold, shooterRsiRoc, fiveMinuteRsi, fiveMinuteRsiValid, requireValid5MinuteRsiForEntry, stallLevelOffset, stallLevelExceeded, stallTargetOffset, recoverStallLevelValid, curBarChangeValid, volumeRoc, volumeRocThreshold, enableVolumeRocForTrigger, tradeActive, entryPrice, curCloseOffset, curSymCashDelta, djiCashDelta, showDjiDelta, longIndicator, fontSize)   f_updateSetupTable Manages writing current data to the setup table   Parameters:      _table (table)      parabolicMoveActive (bool)      initialMoveTargetOffset (float)      initialMoveAchieved (bool)      shooterRsi (float)      shooterRsiValid (bool)      rsiRocEnterThreshold (float)      shooterRsiRoc (float)      fiveMinuteRsi (float)      fiveMinuteRsiValid (bool)      requireValid5MinuteRsiForEntry (bool)      stallLevelOffset (float)      stallLevelExceeded (bool)      stallTargetOffset (float)      recoverStallLevelValid (bool)      curBarChangeValid (bool)      volumeRoc (float)      volumeRocThreshold (float)      enableVolumeRocForTrigger (bool)      tradeActive (bool)      entryPrice (float)      curCloseOffset (float)      curSymCashDelta (float)      djiCashDelta (float)      showDjiDelta (bool)      longIndicator (bool)      fontSize (string)
Libreria Pine Script®
di BlueMagicTrading
light_logLight Log - A Defensive Programming Library for Pine Script Overview The Light Log library transforms Pine Script development by introducing structured logging and defensive programming patterns typically found in enterprise languages like C#. This library addresses a fundamental challenge in Pine Script: the lack of sophisticated error handling and debugging tools that developers expect when building complex trading systems. At its core, Light Log provides three transformative capabilities that work together to create more reliable and maintainable code. First, it wraps all native Pine Script types in error-aware containers, allowing values to carry validation state alongside their data. Second, it offers a comprehensive logging system with severity levels and conditional rendering. Third, it includes defensive programming utilities that catch errors early and make code self-documenting. The Philosophy of Errors as Values Traditional Pine Script error handling relies on runtime errors that halt execution, making it difficult to build resilient systems that can gracefully handle edge cases. Light Log introduces a paradigm shift by treating errors as first-class values that flow through your program alongside regular data. When you wrap a value using Light Log's type system, you're not just storing data – you're creating a container that can carry both the value and its validation state. For example, when you call myNumber.INT() , you receive an INT object that contains both the integer value and a Log object that can describe any issues with that value. This approach, inspired by functional programming languages, allows errors to propagate through calculations without causing immediate failures. Consider how this changes error handling in practice. Instead of a calculation failing catastrophically when it encounters invalid input, it can produce a result object that contains both the computed value (which might be na) and a detailed log explaining what went wrong. Subsequent operations can check has_error() to decide whether to proceed or handle the error condition gracefully. The Typed Wrapper System Light Log provides typed wrappers for every native Pine Script type: INT, FLOAT, BOOL, STRING, COLOR, LINE, LABEL, BOX, TABLE, CHART_POINT, POLYLINE, and LINEFILL. These wrappers serve multiple purposes beyond simple value storage. Each wrapper type contains two fields: the value field v holds the actual data, while the error field e contains a Log object that tracks the value's validation state. This dual nature enables powerful programming patterns. You can perform operations on wrapped values and accumulate error information along the way, creating an audit trail of how values were processed. The wrapper system includes convenient methods for converting between wrapped and unwrapped values. The extension methods like INT() , FLOAT() , etc., make it easy to wrap existing values, while the from_INT() , from_FLOAT() methods extract the underlying values when needed. The has_error() method provides a consistent interface for checking whether any wrapped value has encountered issues during processing. The Log Object: Your Debugging Companion The Log object represents the heart of Light Log's debugging capabilities. Unlike simple string concatenation for error messages, the Log object provides a structured approach to building, modifying, and rendering diagnostic information. Each Log object carries three essential pieces of information: an error type (info, warning, error, or runtime_error), a message string that can be built incrementally, and an active flag that controls conditional rendering. This structure enables sophisticated logging patterns where you can build up detailed diagnostic information throughout your script's execution and decide later whether and how to display it. The Log object's methods support fluent chaining, allowing you to build complex messages in a readable way. The write() and write_line() methods append text to the log, while new_line() adds formatting. The clear() method resets the log for reuse, and the rendering methods ( render_now() , render_condition() , and the general render() ) control when and how messages appear. Defensive Programming Made Easy Light Log's argument validation functions transform how you write defensive code. Instead of cluttering your functions with verbose validation logic, you can use concise, self-documenting calls that make your intentions clear. The argument_error() function provides strict validation that halts execution when conditions aren't met – perfect for catching programming errors early. For less critical issues, argument_log_warning() and argument_log_error() record problems without stopping execution, while argument_log_info() provides debug visibility into your function's behavior. These functions follow a consistent pattern: they take a condition to check, the function name, the argument name, and a descriptive message. This consistency makes error messages predictable and helpful, automatically formatting them to show exactly where problems occurred. Building Modular, Reusable Code Light Log encourages a modular approach to Pine Script development by providing tools that make functions more self-contained and reliable. When functions validate their inputs and return wrapped values with error information, they become true black boxes that can be safely composed into larger systems. The void_return() function addresses Pine Script's requirement that all code paths return a value, even in error handling branches. This utility function provides a clean way to satisfy the compiler while making it clear that a particular code path should never execute. The static log pattern, initialized with init_static_log() , enables module-wide error tracking. You can create a persistent Log object that accumulates information across multiple function calls, building a comprehensive diagnostic report that helps you understand complex behaviors in your indicators and strategies. Real-World Applications In practice, Light Log shines when building sophisticated trading systems. Imagine developing a complex indicator that processes multiple data streams, performs statistical calculations, and generates trading signals. With Light Log, each processing stage can validate its inputs, perform calculations, and pass along both results and diagnostic information. For example, a moving average calculation might check that the period is positive, that sufficient data exists, and that the input series contains valid values. Instead of failing silently or throwing runtime errors, it can return a FLOAT object that contains either the calculated average or a detailed explanation of why the calculation couldn't be performed. Strategy developers benefit even more from Light Log's capabilities. Complex entry and exit logic often involves multiple conditions that must all be satisfied. With Light Log, each condition check can contribute to a comprehensive log that explains exactly why a trade was or wasn't taken, making strategy debugging and optimization much more straightforward. Performance Considerations While Light Log adds a layer of abstraction over raw Pine Script values, its design minimizes performance impact. The wrapper objects are lightweight, containing only two fields. The logging operations only consume resources when actually rendered, and the conditional rendering system ensures that production code can run with logging disabled for maximum performance. The library follows Pine Script best practices for performance, using appropriate data structures and avoiding unnecessary operations. The var keyword in init_static_log() ensures that persistent logs don't create new objects on every bar, maintaining efficiency even in real-time calculations. Getting Started Adopting Light Log in your Pine Script projects is straightforward. Import the library, wrap your critical values, add validation to your functions, and use Log objects to track important events. Start small by adding logging to a single function, then expand as you see the benefits of better error visibility and code organization. Remember that Light Log is designed to grow with your needs. You can use as much or as little of its functionality as makes sense for your project. Even simple uses, like adding argument validation to key functions, can significantly improve code reliability and debugging ease. Transform your Pine Script development experience with Light Log – because professional trading systems deserve professional development tools. Light Log Technical Deep Dive: Advanced Patterns and Architecture Understanding Errors as Values The concept of "errors as values" represents a fundamental shift in how we think about error handling in Pine Script. In traditional Pine Script development, errors are events – they happen at a specific moment in time and immediately interrupt program flow. Light Log transforms errors into data – they become information that flows through your program just like any other value. This transformation has profound implications. When errors are values, they can be stored, passed between functions, accumulated, transformed, and inspected. They become part of your program's data flow rather than exceptions to it. This approach, popularized by languages like Rust with its Result type and Haskell with its Either monad, brings functional programming's elegance to Pine Script. Consider a practical example. Traditional Pine Script might calculate a momentum indicator like this: momentum = close - close If period is invalid or if there isn't enough historical data, this calculation might produce na or cause subtle bugs. With Light Log's approach: calculate_momentum(src, period)=> result = src.FLOAT() if period <= 0 result.e.write("Invalid period: must be positive", true, ErrorType.error) result.v := na else if bar_index < period result.e.write("Insufficient data: need " + str.tostring(period) + " bars", true, ErrorType.warning) result.v := na else result.v := src - src result.e.write("Momentum calculated successfully", false, ErrorType.info) result Now the function returns not just a value but a complete computational result that includes diagnostic information. Calling code can make intelligent decisions based on both the value and its associated metadata. The Monad Pattern in Pine Script While Pine Script lacks the type system features to implement true monads, Light Log brings monadic thinking to Pine Script development. The wrapped types (INT, FLOAT, etc.) act as computational contexts that carry both values and metadata through a series of transformations. The key insight of monadic programming is that you can chain operations while automatically propagating context. In Light Log, this context is the error state. When you have a FLOAT that contains an error, operations on that FLOAT can check the error state and decide whether to proceed or propagate the error. This pattern enables what functional programmers call "railway-oriented programming" – your code follows a success track when all is well but can switch to an error track when problems occur. Both tracks lead to the same destination (a result with error information), but they take different paths based on the validity of intermediate values. Composable Error Handling Light Log's design encourages composition – building complex functionality from simpler, well-tested components. Each component can validate its inputs, perform its calculation, and return a result with appropriate error information. Higher-level functions can then combine these results intelligently. Consider building a complex trading signal from multiple indicators: generate_signal(src, fast_period, slow_period, signal_period) => log = init_static_log(ErrorType.info) // Calculate components with error tracking fast_ma = calculate_ma(src, fast_period) slow_ma = calculate_ma(src, slow_period) // Check for errors in components if fast_ma.has_error() log.write_line("Fast MA error: " + fast_ma.e.message, true) if slow_ma.has_error() log.write_line("Slow MA error: " + slow_ma.e.message, true) // Proceed with calculation if no errors signal = 0.0.FLOAT() if not (fast_ma.has_error() or slow_ma.has_error()) macd_line = fast_ma.v - slow_ma.v signal_line = calculate_ma(macd_line, signal_period) if signal_line.has_error() log.write_line("Signal line error: " + signal_line.e.message, true) signal.e := log else signal.v := macd_line - signal_line.v log.write("Signal generated successfully") else signal.e := log signal.v := na signal This composable approach makes complex calculations more reliable and easier to debug. Each component is responsible for its own validation and error reporting, and the composite function orchestrates these components while maintaining comprehensive error tracking. The Static Log Pattern The init_static_log() function introduces a powerful pattern for maintaining state across function calls. In Pine Script, the var keyword creates variables that persist across bars but are initialized only once. Light Log leverages this to create logging objects that can accumulate information throughout a script's execution. This pattern is particularly valuable for debugging complex strategies where you need to understand behavior across multiple bars. You can create module-level logs that track important events: // Module-level diagnostic log diagnostics = init_static_log(ErrorType.info) // Track strategy decisions across bars check_entry_conditions() => diagnostics.clear() // Start fresh each bar diagnostics.write_line("Bar " + str.tostring(bar_index) + " analysis:") if close > sma(close, 20) diagnostics.write_line("Price above SMA20", false) else diagnostics.write_line("Price below SMA20 - no entry", true, ErrorType.warning) if volume > sma(volume, 20) * 1.5 diagnostics.write_line("Volume surge detected", false) else diagnostics.write_line("Normal volume", false) // Render diagnostics based on verbosity setting if debug_mode diagnostics.render_now() Advanced Validation Patterns Light Log's argument validation functions enable sophisticated precondition checking that goes beyond simple null checks. You can implement complex validation logic while keeping your code readable: validate_price_data(open_val, high_val, low_val, close_val) => argument_error(na(open_val) or na(high_val) or na(low_val) or na(close_val), "validate_price_data", "OHLC values", "contain na values") argument_error(high_val < low_val, "validate_price_data", "high/low", "high is less than low") argument_error(close_val > high_val or close_val < low_val, "validate_price_data", "close", "is outside high/low range") argument_log_warning(high_val == low_val, "validate_price_data", "high/low", "are equal (no range)") This validation function documents its requirements clearly and fails fast with helpful error messages when assumptions are violated. The mix of errors (which halt execution) and warnings (which allow continuation) provides fine-grained control over how strict your validation should be. Performance Optimization Strategies While Light Log adds abstraction, careful design minimizes overhead. Understanding Pine Script's execution model helps you use Light Log efficiently. Pine Script executes once per bar, so operations that seem expensive in traditional programming might have negligible impact. However, when building real-time systems, every optimization matters. Light Log provides several patterns for efficient use: Lazy Evaluation: Log messages are only built when they'll be rendered. Use conditional logging to avoid string concatenation in production: if debug_mode log.write_line("Calculated value: " + str.tostring(complex_calculation)) Selective Wrapping: Not every value needs error tracking. Wrap values at API boundaries and critical calculation points, but use raw values for simple operations: // Wrap at boundaries input_price = close.FLOAT() validated_period = validate_period(input_period).INT() // Use raw values internally sum = 0.0 for i = 0 to validated_period.v - 1 sum += close Error Propagation: When errors occur early, avoid expensive calculations: process_data(input) => validated = validate_input(input) if validated.has_error() validated // Return early with error else // Expensive processing only if valid perform_complex_calculation(validated) Integration Patterns Light Log integrates smoothly with existing Pine Script code. You can adopt it incrementally, starting with critical functions and expanding coverage as needed. Boundary Validation: Add Light Log at the boundaries of your system – where user input enters and where final outputs are produced. This catches most errors while minimizing changes to existing code. Progressive Enhancement: Start by adding argument validation to existing functions. Then wrap return values. Finally, add comprehensive logging. Each step improves reliability without requiring a complete rewrite. Testing and Debugging: Use Light Log's conditional rendering to create debug modes for your scripts. Production users see clean output while developers get detailed diagnostics: // User input for debug mode debug = input.bool(false, "Enable debug logging") // Conditional diagnostic output if debug diagnostics.render_now() else diagnostics.render_condition() // Only shows errors/warnings Future-Proofing Your Code Light Log's patterns prepare your code for Pine Script's evolution. As Pine Script adds more sophisticated features, code that uses structured error handling and defensive programming will adapt more easily than code that relies on implicit assumptions. The type wrapper system, in particular, positions your code to take advantage of potential future features or more sophisticated type inference. By thinking in terms of wrapped values and error propagation today, you're building code that will remain maintainable and extensible tomorrow. Light Log doesn't just make your Pine Script better today – it prepares it for the trading systems you'll need to build tomorrow. Library "light_log" A lightweight logging and defensive programming library for Pine Script. Designed for modular and extensible scripts, this utility provides structured runtime validation, conditional logging, and reusable `Log` objects for centralized error propagation. It also introduces a typed wrapping system for all native Pine values (e.g., `INT`, `FLOAT`, `LABEL`), allowing values to carry errors alongside data. This enables functional-style flows with built-in validation tracking, error detection (`has_error()`), and fluent chaining. Inspired by structured logging patterns found in systems like C#, it reduces boilerplate, enforces argument safety, and encourages clean, maintainable code architecture. method INT(self, error_type)   Wraps an `int` value into an `INT` struct with an optional log severity.   Namespace types: series int, simple int, input int, const int   Parameters:      self (int) : The raw `int` value to wrap.      error_type (series ErrorType) : Optional severity level to associate with the log. Default is `ErrorType.error`.   Returns: An `INT` object containing the value and a default Log instance. method FLOAT(self, error_type)   Wraps a `float` value into a `FLOAT` struct with an optional log severity.   Namespace types: series float, simple float, input float, const float   Parameters:      self (float) : The raw `float` value to wrap.      error_type (series ErrorType) : Optional severity level to associate with the log. Default is `ErrorType.error`.   Returns: A `FLOAT` object containing the value and a default Log instance. method BOOL(self, error_type)   Wraps a `bool` value into a `BOOL` struct with an optional log severity.   Namespace types: series bool, simple bool, input bool, const bool   Parameters:      self (bool) : The raw `bool` value to wrap.      error_type (series ErrorType) : Optional severity level to associate with the log. Default is `ErrorType.error`.   Returns: A `BOOL` object containing the value and a default Log instance. method STRING(self, error_type)   Wraps a `string` value into a `STRING` struct with an optional log severity.   Namespace types: series string, simple string, input string, const string   Parameters:      self (string) : The raw `string` value to wrap.      error_type (series ErrorType) : Optional severity level to associate with the log. Default is `ErrorType.error`.   Returns: A `STRING` object containing the value and a default Log instance. method COLOR(self, error_type)   Wraps a `color` value into a `COLOR` struct with an optional log severity.   Namespace types: series color, simple color, input color, const color   Parameters:      self (color) : The raw `color` value to wrap.      error_type (series ErrorType) : Optional severity level to associate with the log. Default is `ErrorType.error`.   Returns: A `COLOR` object containing the value and a default Log instance. method LINE(self, error_type)   Wraps a `line` object into a `LINE` struct with an optional log severity.   Namespace types: series line   Parameters:      self (line) : The raw `line` object to wrap.      error_type (series ErrorType) : Optional severity level to associate with the log. Default is `ErrorType.error`.   Returns: A `LINE` object containing the value and a default Log instance. method LABEL(self, error_type)   Wraps a `label` object into a `LABEL` struct with an optional log severity.   Namespace types: series label   Parameters:      self (label) : The raw `label` object to wrap.      error_type (series ErrorType) : Optional severity level to associate with the log. Default is `ErrorType.error`.   Returns: A `LABEL` object containing the value and a default Log instance. method BOX(self, error_type)   Wraps a `box` object into a `BOX` struct with an optional log severity.   Namespace types: series box   Parameters:      self (box) : The raw `box` object to wrap.      error_type (series ErrorType) : Optional severity level to associate with the log. Default is `ErrorType.error`.   Returns: A `BOX` object containing the value and a default Log instance. method TABLE(self, error_type)   Wraps a `table` object into a `TABLE` struct with an optional log severity.   Namespace types: series table   Parameters:      self (table) : The raw `table` object to wrap.      error_type (series ErrorType) : Optional severity level to associate with the log. Default is `ErrorType.error`.   Returns: A `TABLE` object containing the value and a default Log instance. method CHART_POINT(self, error_type)   Wraps a `chart.point` value into a `CHART_POINT` struct with an optional log severity.   Namespace types: chart.point   Parameters:      self (chart.point) : The raw `chart.point` value to wrap.      error_type (series ErrorType) : Optional severity level to associate with the log. Default is `ErrorType.error`.   Returns: A `CHART_POINT` object containing the value and a default Log instance. method POLYLINE(self, error_type)   Wraps a `polyline` object into a `POLYLINE` struct with an optional log severity.   Namespace types: series polyline, series polyline, series polyline, series polyline   Parameters:      self (polyline) : The raw `polyline` object to wrap.      error_type (series ErrorType) : Optional severity level to associate with the log. Default is `ErrorType.error`.   Returns: A `POLYLINE` object containing the value and a default Log instance. method LINEFILL(self, error_type)   Wraps a `linefill` object into a `LINEFILL` struct with an optional log severity.   Namespace types: series linefill   Parameters:      self (linefill) : The raw `linefill` object to wrap.      error_type (series ErrorType) : Optional severity level to associate with the log. Default is `ErrorType.error`.   Returns: A `LINEFILL` object containing the value and a default Log instance. method from_INT(self)   Extracts the integer value from an INT wrapper.   Namespace types: INT   Parameters:      self (INT) : The wrapped INT instance.   Returns: The underlying `int` value. method from_FLOAT(self)   Extracts the float value from a FLOAT wrapper.   Namespace types: FLOAT   Parameters:      self (FLOAT) : The wrapped FLOAT instance.   Returns: The underlying `float` value. method from_BOOL(self)   Extracts the boolean value from a BOOL wrapper.   Namespace types: BOOL   Parameters:      self (BOOL) : The wrapped BOOL instance.   Returns: The underlying `bool` value. method from_STRING(self)   Extracts the string value from a STRING wrapper.   Namespace types: STRING   Parameters:      self (STRING) : The wrapped STRING instance.   Returns: The underlying `string` value. method from_COLOR(self)   Extracts the color value from a COLOR wrapper.   Namespace types: COLOR   Parameters:      self (COLOR) : The wrapped COLOR instance.   Returns: The underlying `color` value. method from_LINE(self)   Extracts the line object from a LINE wrapper.   Namespace types: LINE   Parameters:      self (LINE) : The wrapped LINE instance.   Returns: The underlying `line` object. method from_LABEL(self)   Extracts the label object from a LABEL wrapper.   Namespace types: LABEL   Parameters:      self (LABEL) : The wrapped LABEL instance.   Returns: The underlying `label` object. method from_BOX(self)   Extracts the box object from a BOX wrapper.   Namespace types: BOX   Parameters:      self (BOX) : The wrapped BOX instance.   Returns: The underlying `box` object. method from_TABLE(self)   Extracts the table object from a TABLE wrapper.   Namespace types: TABLE   Parameters:      self (TABLE) : The wrapped TABLE instance.   Returns: The underlying `table` object. method from_CHART_POINT(self)   Extracts the chart.point from a CHART_POINT wrapper.   Namespace types: CHART_POINT   Parameters:      self (CHART_POINT) : The wrapped CHART_POINT instance.   Returns: The underlying `chart.point` value. method from_POLYLINE(self)   Extracts the polyline object from a POLYLINE wrapper.   Namespace types: POLYLINE   Parameters:      self (POLYLINE) : The wrapped POLYLINE instance.   Returns: The underlying `polyline` object. method from_LINEFILL(self)   Extracts the linefill object from a LINEFILL wrapper.   Namespace types: LINEFILL   Parameters:      self (LINEFILL) : The wrapped LINEFILL instance.   Returns: The underlying `linefill` object. method has_error(self)   Returns true if the INT wrapper has an active log entry.   Namespace types: INT   Parameters:      self (INT) : The INT instance to check.   Returns: True if an error or message is active in the log. method has_error(self)   Returns true if the FLOAT wrapper has an active log entry.   Namespace types: FLOAT   Parameters:      self (FLOAT) : The FLOAT instance to check.   Returns: True if an error or message is active in the log. method has_error(self)   Returns true if the BOOL wrapper has an active log entry.   Namespace types: BOOL   Parameters:      self (BOOL) : The BOOL instance to check.   Returns: True if an error or message is active in the log. method has_error(self)   Returns true if the STRING wrapper has an active log entry.   Namespace types: STRING   Parameters:      self (STRING) : The STRING instance to check.   Returns: True if an error or message is active in the log. method has_error(self)   Returns true if the COLOR wrapper has an active log entry.   Namespace types: COLOR   Parameters:      self (COLOR) : The COLOR instance to check.   Returns: True if an error or message is active in the log. method has_error(self)   Returns true if the LINE wrapper has an active log entry.   Namespace types: LINE   Parameters:      self (LINE) : The LINE instance to check.   Returns: True if an error or message is active in the log. method has_error(self)   Returns true if the LABEL wrapper has an active log entry.   Namespace types: LABEL   Parameters:      self (LABEL) : The LABEL instance to check.   Returns: True if an error or message is active in the log. method has_error(self)   Returns true if the BOX wrapper has an active log entry.   Namespace types: BOX   Parameters:      self (BOX) : The BOX instance to check.   Returns: True if an error or message is active in the log. method has_error(self)   Returns true if the TABLE wrapper has an active log entry.   Namespace types: TABLE   Parameters:      self (TABLE) : The TABLE instance to check.   Returns: True if an error or message is active in the log. method has_error(self)   Returns true if the CHART_POINT wrapper has an active log entry.   Namespace types: CHART_POINT   Parameters:      self (CHART_POINT) : The CHART_POINT instance to check.   Returns: True if an error or message is active in the log. method has_error(self)   Returns true if the POLYLINE wrapper has an active log entry.   Namespace types: POLYLINE   Parameters:      self (POLYLINE) : The POLYLINE instance to check.   Returns: True if an error or message is active in the log. method has_error(self)   Returns true if the LINEFILL wrapper has an active log entry.   Namespace types: LINEFILL   Parameters:      self (LINEFILL) : The LINEFILL instance to check.   Returns: True if an error or message is active in the log. void_return()   Utility function used when a return is syntactically required but functionally unnecessary.   Returns: Nothing. Function never executes its body. argument_error(condition, function, argument, message)   Throws a runtime error when a condition is met. Used for strict argument validation.   Parameters:      condition (bool) : Boolean expression that triggers the runtime error.      function (string) : Name of the calling function (for formatting).      argument (string) : Name of the problematic argument.      message (string) : Description of the error cause.   Returns: Never returns. Halts execution if the condition is true. argument_log_info(condition, function, argument, message)   Logs an informational message when a condition is met. Used for optional debug visibility.   Parameters:      condition (bool) : Boolean expression that triggers the log.      function (string) : Name of the calling function.      argument (string) : Argument name being referenced.      message (string) : Informational message to log.   Returns: Nothing. Logs if the condition is true. argument_log_warning(condition, function, argument, message)   Logs a warning when a condition is met. Non-fatal but highlights potential issues.   Parameters:      condition (bool) : Boolean expression that triggers the warning.      function (string) : Name of the calling function.      argument (string) : Argument name being referenced.      message (string) : Warning message to log.   Returns: Nothing. Logs if the condition is true. argument_log_error(condition, function, argument, message)   Logs an error message when a condition is met. Does not halt execution.   Parameters:      condition (bool) : Boolean expression that triggers the error log.      function (string) : Name of the calling function.      argument (string) : Argument name being referenced.      message (string) : Error message to log.   Returns: Nothing. Logs if the condition is true. init_static_log(error_type, message, active)   Initializes a persistent (var) Log object. Ideal for global logging in scripts or modules.   Parameters:      error_type (series ErrorType) : Initial severity level (required).      message (string) : Optional starting message string. Default value of ("").      active (bool) : Whether the log should be flagged active on initialization. Default value of (false).   Returns: A static Log object with the given parameters. method new_line(self)   Appends a newline character to the Log message. Useful for separating entries during chained writes.   Namespace types: Log   Parameters:      self (Log) : The Log instance to modify.   Returns: The updated Log object with a newline appended. method write(self, message, flag_active, error_type)   Appends a message to a Log object without a newline. Updates severity and active state if specified.   Namespace types: Log   Parameters:      self (Log) : The Log instance being modified.      message (string) : The text to append to the log.      flag_active (bool) : Whether to activate the log for conditional rendering. Default value of (false).      error_type (series ErrorType) : Optional override for the severity level. Default value of (na).   Returns: The updated Log object. method write_line(self, message, flag_active, error_type)   Appends a message to a Log object, prefixed with a newline for clarity.   Namespace types: Log   Parameters:      self (Log) : The Log instance being modified.      message (string) : The text to append to the log.      flag_active (bool) : Whether to activate the log for conditional rendering. Default value of (false).      error_type (series ErrorType) : Optional override for the severity level. Default value of (na).   Returns: The updated Log object. method clear(self, flag_active, error_type)   Clears a Log object’s message and optionally reactivates it. Can also update the error type.   Namespace types: Log   Parameters:      self (Log) : The Log instance being cleared.      flag_active (bool) : Whether to activate the log after clearing. Default value of (false).      error_type (series ErrorType) : Optional new error type to assign. If not provided, the previous type is retained. Default value of (na).   Returns: The cleared Log object. method render_condition(self, flag_active, error_type)   Conditionally renders the log if it is active. Allows overriding error type and controlling active state afterward.   Namespace types: Log   Parameters:      self (Log) : The Log instance to evaluate and render.      flag_active (bool) : Whether to activate the log after rendering. Default value of (false).      error_type (series ErrorType) : Optional error type override. Useful for contextual formatting just before rendering. Default value of (na).   Returns: The updated Log object. method render_now(self, flag_active, error_type)   Immediately renders the log regardless of `active` state. Allows overriding error type and active flag.   Namespace types: Log   Parameters:      self (Log) : The Log instance to render.      flag_active (bool) : Whether to activate the log after rendering. Default value of (false).      error_type (series ErrorType) : Optional error type override. Allows dynamic severity adjustment at render time. Default value of (na).   Returns: The updated Log object. render(self, condition, flag_active, error_type)   Renders the log conditionally or unconditionally. Allows full control over render behavior.   Parameters:      self (Log) : The Log instance to render.      condition (bool) : If true, renders only if the log is active. If false, always renders. Default value of (false).      flag_active (bool) : Whether to activate the log after rendering. Default value of (false).      error_type (series ErrorType) : Optional error type override passed to the render methods. Default value of (na).   Returns: The updated Log object. Log   A structured object used to store and render logging messages.   Fields:      error_type (series ErrorType) : The severity level of the message (from the ErrorType enum).      message (series string) : The text of the log message.      active (series bool) : Whether the log should trigger rendering when conditionally evaluated. INT   A wrapped integer type with attached logging for validation or tracing.   Fields:      v (series int) : The underlying `int` value.      e (Log) : Optional log object describing validation status or error context. FLOAT   A wrapped float type with attached logging for validation or tracing.   Fields:      v (series float) : The underlying `float` value.      e (Log) : Optional log object describing validation status or error context. BOOL   A wrapped boolean type with attached logging for validation or tracing.   Fields:      v (series bool) : The underlying `bool` value.      e (Log) : Optional log object describing validation status or error context. STRING   A wrapped string type with attached logging for validation or tracing.   Fields:      v (series string) : The underlying `string` value.      e (Log) : Optional log object describing validation status or error context. COLOR   A wrapped color type with attached logging for validation or tracing.   Fields:      v (series color) : The underlying `color` value.      e (Log) : Optional log object describing validation status or error context. LINE   A wrapped line object with attached logging for validation or tracing.   Fields:      v (series line) : The underlying `line` value.      e (Log) : Optional log object describing validation status or error context. LABEL   A wrapped label object with attached logging for validation or tracing.   Fields:      v (series label) : The underlying `label` value.      e (Log) : Optional log object describing validation status or error context. BOX   A wrapped box object with attached logging for validation or tracing.   Fields:      v (series box) : The underlying `box` value.      e (Log) : Optional log object describing validation status or error context. TABLE   A wrapped table object with attached logging for validation or tracing.   Fields:      v (series table) : The underlying `table` value.      e (Log) : Optional log object describing validation status or error context. CHART_POINT   A wrapped chart point with attached logging for validation or tracing.   Fields:      v (chart.point) : The underlying `chart.point` value.      e (Log) : Optional log object describing validation status or error context. POLYLINE   A wrapped polyline object with attached logging for validation or tracing.   Fields:      v (series polyline) : The underlying `polyline` value.      e (Log) : Optional log object describing validation status or error context. LINEFILL   A wrapped linefill object with attached logging for validation or tracing.   Fields:      v (series linefill) : The underlying `linefill` value.      e (Log) : Optional log object describing validation status or error context.
Libreria Pine Script®
di The_Peaceful_Lizard
3
Strategy Stats [presentTrading]Hello! it's another weekend. This tool is a strategy performance analysis tool. Looking at the TradingView community, it seems few creators focus on this aspect. I've intentionally created a shared version. Welcome to share your idea or question on this. █ Introduction and How it is Different Strategy Stats is a comprehensive performance analytics framework designed specifically for trading strategies. Unlike standard strategy backtesting tools that simply show cumulative profits, this analytics suite provides real-time, multi-timeframe statistical analysis of your trading performance. Multi-timeframe analysis: Automatically tracks performance metrics across the most recent time periods (last 7 days, 30 days, 90 days, 1 year, and 4 years) Advanced statistical measures: Goes beyond basic metrics to include Information Coefficient (IC) and Sortino Ratio Real-time feedback: Updates performance statistics with each new trade Visual analytics: Color-coded performance table provides instant visual feedback on strategy health Integrated risk management: Implements sophisticated take profit mechanisms with 3-step ATR and percentage-based exits BTCUSD Performance The table in the upper right corner is a comprehensive performance dashboard showing trading strategy statistics. Note: While this presentation uses Vegas SuperTrend as the underlying strategy, this is merely an example. The Stats framework can be applied to any trading strategy. The Vegas SuperTrend implementation is included solely to demonstrate how the analytics module integrates with a trading strategy. ⚠️ Timeframe Limitations Important: TradingView's backtesting engine has a maximum storage limit of 10,000 bars. When using this strategy stats framework on smaller timeframes such as 1-hour or 2-hour charts, you may encounter errors if your backtesting period is too long. Recommended Timeframe Usage: Ideal for: 4H, 6H, 8H, Daily charts and above May cause errors on: 1H, 2H charts spanning multiple years Not recommended for: Timeframes below 1H with long history █ Strategy, How it Works: Detailed Explanation The Strategy Stats framework consists of three primary components: statistical data collection, performance analysis, and visualization. 🔶 Statistical Data Collection The system maintains several critical data arrays: equityHistory: Tracks equity curve over time tradeHistory: Records profit/loss of each trade predictionSignals: Stores trade direction signals (1 for long, -1 for short) actualReturns: Records corresponding actual returns from each trade For each closed trade, the system captures: float tradePnL = strategy.closedtrades.profit(tradeIndex) float tradeReturn = strategy.closedtrades.profit_percent(tradeIndex) int tradeType = entryPrice < exitPrice ? 1 : -1 // Direction 🔶 Performance Metrics Calculation The framework calculates several key performance metrics: Information Coefficient (IC): The correlation between prediction signals and actual returns, measuring forecast skill. IC = Correlation(predictionSignals, actualReturns) Where Correlation is the Pearson correlation coefficient: Correlation(X,Y) = (nΣXY - ΣXY) / √ Sortino Ratio: Measures risk-adjusted return focusing only on downside risk: Sortino = (Avg_Return - Risk_Free_Rate) / Downside_Deviation Where Downside Deviation is: Downside_Deviation = √ R_i represents individual returns, T is the target return (typically the risk-free rate), and n is the number of observations. Maximum Drawdown: Tracks the largest percentage drop from peak to trough: DD = (Peak_Equity - Trough_Equity) / Peak_Equity * 100 🔶 Time Period Calculation The system automatically determines the appropriate number of bars to analyze for each timeframe based on the current chart timeframe: bars_7d = math.max(1, math.round(7 * barsPerDay)) bars_30d = math.max(1, math.round(30 * barsPerDay)) bars_90d = math.max(1, math.round(90 * barsPerDay)) bars_365d = math.max(1, math.round(365 * barsPerDay)) bars_4y = math.max(1, math.round(365 * 4 * barsPerDay)) Where barsPerDay is calculated based on the chart timeframe: barsPerDay = timeframe.isintraday ? 24 * 60 / math.max(1, (timeframe.in_seconds() / 60)) : timeframe.isdaily ? 1 : timeframe.isweekly ? 1/7 : timeframe.ismonthly ? 1/30 : 0.01 🔶 Visual Representation The system presents performance data in a color-coded table with intuitive visual indicators: Green: Excellent performance Lime: Good performance Gray: Neutral performance Orange: Mediocre performance Red: Poor performance █ Trade Direction The Strategy Stats framework supports three trading directions: Long Only: Only takes long positions when entry conditions are met Short Only: Only takes short positions when entry conditions are met Both: Takes both long and short positions depending on market conditions █ Usage To effectively use the Strategy Stats framework: Apply to existing strategies: Add the performance tracking code to any strategy to gain advanced analytics Monitor multiple timeframes: Use the multi-timeframe analysis to identify performance trends Evaluate strategy health: Review IC and Sortino ratios to assess predictive power and risk-adjusted returns Optimize parameters: Use performance data to refine strategy parameters Compare strategies: Apply the framework to multiple strategies to identify the most effective approach For best results, allow the strategy to generate sufficient trade history for meaningful statistical analysis (at least 20-30 trades). █ Default Settings The default settings have been carefully calibrated for cryptocurrency markets: Performance Tracking: Time periods: 7D, 30D, 90D, 1Y, 4Y Statistical measures: Return, Win%, MaxDD, IC, Sortino Ratio IC color thresholds: >0.3 (green), >0.1 (lime), <-0.1 (orange), <-0.3 (red) Sortino color thresholds: >1.0 (green), >0.5 (lime), <0 (red) Multi-Step Take Profit: ATR multipliers: 2.618, 5.0, 10.0 Percentage levels: 3%, 8%, 17% Short multiplier: 1.5x (makes short take profits more aggressive) Stop loss: 20%
Strategia Pine Script®
di PresentTrading
2
Keltner Channel StrategyOverview The Keltner Channel Strategy is a powerful trend-following and mean-reversion system that leverages the Keltner Channels, EMA crossovers, and ATR-based stop-losses to optimize trade entries and exits. This strategy has proven to be highly effective, particularly when applied to Gold (XAUUSD) and other commodities with strong trend characteristics. 📈 How It Works This strategy incorporates two trading approaches: 1️⃣ Keltner Channel Reversal Trades – Identifies overbought and oversold conditions when price touches the outer bands. 2️⃣ Trend Following Trades – Uses the 9 EMA & 21 EMA crossover, with confirmation from the 50 EMA, to enter trades in the direction of the trend. 🔍 Entry & Exit Criteria 📊 Keltner Channel Entries (Reversal Strategy) ✅ Long Entry: When the price crosses below the lower Keltner Band (potential reversal). ✅ Short Entry: When the price crosses above the upper Keltner Band (potential reversal). ⏳ Exit Conditions: Long positions close when price crosses back above the mid-band (EMA-based). Short positions close when price crosses back below the mid-band (EMA-based). 📈 Trend Following Entries (Momentum Strategy) ✅ Long Entry: When the 9 EMA crosses above the 21 EMA, and price is above the 50 EMA (bullish momentum). ✅ Short Entry: When the 9 EMA crosses below the 21 EMA, and price is below the 50 EMA (bearish momentum). ⏳ Exit Conditions: Long positions close when the 9 EMA crosses back below the 21 EMA. Short positions close when the 9 EMA crosses back above the 21 EMA. 📌 Risk Management & Profit Targeting ATR-based Stop-Losses: Long trades: Stop set at 1.5x ATR below entry price. Short trades: Stop set at 1.5x ATR above entry price. Take-Profit Levels: Long trades: Profit target 2x ATR above entry price. Short trades: Profit target 2x ATR below entry price. 🚀 Why Use This Strategy? ✅ Works exceptionally well on Gold (XAUUSD) due to high volatility. ✅ Combines reversal & trend strategies for improved adaptability. ✅ Uses ATR-based risk management for dynamic position sizing. ✅ Fully automated alerts for trade entries and exits. 🔔 Alerts This script includes automated TradingView alerts for: 🔹 Keltner Band touches (Reversal signals). 🔹 EMA crossovers (Momentum trades). 🔹 Stop-loss & Take-profit activations. 📊 Ideal Markets & Timeframes Best for: Gold (XAUUSD), NASDAQ (NQ), Crude Oil (CL), and trending assets. Recommended Timeframes: 15m, 1H, 4H, Daily. ⚡️ How to Use 1️⃣ Add this script to your TradingView chart. 2️⃣ Select a 15m, 1H, or 4H timeframe for optimal results. 3️⃣ Enable alerts to receive trade notifications in real time. 4️⃣ Backtest and tweak ATR settings to fit your trading style. 🚀 Optimize your Gold trading with this Keltner Channel Strategy! Let me know how it performs for you. 💰📊
Strategia Pine Script®
di adkhomepros
Money Flow Indicator (Chaikin Oscillator) with VWAPStrategy Overview Entry Conditions: Buy Entry: The Chaikin Oscillator crosses above the signal line. The current price is above the VWAP. Sell Entry: The Chaikin Oscillator crosses below the signal line. The current price is below the VWAP. Exit Conditions: Profit Taking: Take profit when a target profit is reached (e.g., a 2% increase from the entry price). Stop Loss: Set a stop loss, for example, at a 1% decline from the entry price. Risk Management: Manage risk by limiting each trade to no more than 1-2% of the account balance. Calculate position size based on risk and trade accordingly. Trend Confirmation: Use other indicators (like moving averages) to confirm the overall trend and focus trades in the direction of the trend. In an uptrend, prioritize buy entries; in a downtrend, prioritize sell entries. Specific Trade Scenarios Example 1: Buy Entry: Enter a buy position when the Chaikin Oscillator crosses above the signal line and the price is above the VWAP. Set a stop loss 1% below the entry price and a profit target 2% above the entry price. Example 2: Sell Entry: Enter a sell position when the Chaikin Oscillator crosses below the signal line and the price is below the VWAP. Set a stop loss 1% above the entry price and a profit target 2% below the entry price. Additional Considerations Backtesting: Test this strategy with historical data to evaluate performance and make adjustments as needed. Market Conditions: Pay attention to market volatility and economic indicators, adjusting the trading strategy flexibly. Psychological Factors: Avoid emotional decisions and follow clear rules when trading.
Indicatore Pine Script®
di okinawan21
Candlestick Pattern Detector - Vijay PrasadOverview: This Pine Script v6 indicator is designed to detect and label key candlestick patterns on TradingView charts. It provides real-time visual markers for major bullish and bearish reversal signals, aiding traders in decision-making. Usefulness: ✅ Saves time by automating candlestick pattern detection. ✅ Reduces manual chart analysis errors. ✅ Works across all markets & timeframes. ✅ Enhances trading strategies with accurate signals. Candlestick Patterns Recognises: Bullish Engulfing – A strong bullish reversal pattern. Bearish Engulfing – Indicates a potential downtrend. Hammer – Suggests a market bottom or reversal. Shooting Star – A bearish reversal signal at the top of an uptrend. Doji – Signals market indecision and possible trend change. Key Functions: Automated Pattern Visible Identifies candlestick patterns dynamically and plots them on the chart. Visual Labels for Patterns Labels to indicate specific candlestick formations. Labels appear only when a valid pattern is detected, avoiding unnecessary clutter. Buy/Sell Signal Plots buy signals at bullish patterns and sell signals at bearish patterns. Helps traders recognize trend reversals and entry/exit points. Bullish Engulfing Pattern (Green Label) What it means: A bullish engulfing pattern typically signals a potential reversal from a downtrend to an uptrend. The current candle fully engulfs the previous candle, signaling strong buying interest. Identifying Candlestick Patterns on the Chart How to use it: Entry: Look for a green label (bullish engulfing) at the bottom of the chart. When it appears, consider entering a long position (buy). Confirmation: To increase reliability, wait for confirmation by observing if price moves above the high of the bullish engulfing candle. Exit: Exit when the trend shows signs of reversing or take profit at predefined levels (e.g., resistance or a risk-to-reward ratio). Bearish Engulfing Pattern (Red Label) What it means: A bearish engulfing pattern is a signal of a potential reversal from an uptrend to a downtrend. The current candle fully engulfs the previous candle, signaling strong selling pressure. How to use it: Entry: Look for a red label (bearish engulfing) at the top of the chart. When it appears, consider entering a short position (sell). Confirmation: Wait for the price to move below the low of the bearish engulfing candle to confirm the bearish trend. Exit: Close the trade when the price reaches support levels or the trend shows signs of reversing. Doji Pattern (Blue Circle) What it means: A Doji candle signals market indecision. It represents a balance between buyers and sellers, often marking a potential reversal or consolidation point. How to use it: Entry: If the Doji appears after a strong trend (bullish or bearish), wait for the next candle to break above or below the Doji's high or low. This can signal a continuation or reversal. Confirmation: You can look for additional indicators like moving averages, RSI, or MACD for confirmation before taking any action. Exit: Exit when the price shows clear momentum in your entry direction. Hammer Pattern (Orange Triangle) What it means: The hammer pattern is a bullish reversal pattern that appears after a downtrend. It suggests that sellers pushed the price down during the session, but buyers managed to push the price back up. How to use it: Entry: When a hammer appears, consider entering a long position (buy). The price should move above the hammer's high for confirmation. Confirmation: Look for strong volume and a follow-up bullish candle to confirm the reversal. Exit: Set a target based on the next resistance level, or use a trailing stop to lock in profits. Using Candlestick Patterns with Other Indicators To increase your chances of success, combine candlestick patterns with other technical indicators. Here are some ideas: RSI (Relative Strength Index): Use RSI to check whether the market is overbought or oversold. A bullish engulfing in an oversold market could indicate a stronger buy signal, and a bearish engulfing in an overbought market could indicate a stronger sell signal. Moving Averages (e.g., 50 EMA, 200 EMA): Confirm trend direction. If the candlestick pattern aligns with the direction of the moving averages, it can give a stronger signal. MACD (Moving Average Convergence Divergence): Use MACD to confirm momentum and potential trend changes. If a candlestick pattern aligns with a MACD crossover, it strengthens the signal. Volume: Look for higher-than-average volume when a pattern appears. This can give you additional confirmation that the market is reacting strongly. Practice and Refine It's important to practice using the candlestick patterns in a demo account or backtest them to see how they perform under different market conditions. Over time, you can adjust the settings and patterns to fit your trading style and preferences.
Indicatore Pine Script®
di thanksbima
22
CapitalManagementLibrary "CapitalManagement" TODO: Manage the capital order_volume(percent_risk, order_entry_price, stop_loss_price)   : Function to calculate order volume according to give risk percent_risk   Parameters:      percent_risk (float)      order_entry_price (float)      stop_loss_price (float) calculate_takeprofit_price(entry_price, stop_loss_price, risk_reward)   : Function to calculate take profit price according to given risk:reward ratio   Parameters:      entry_price (float)      stop_loss_price (float)      risk_reward (float)   Returns: Return take profit value according to given risk:reward ratio
Libreria Pine Script®
di soykagrochl9
Ichimoku + RSI + MACD Strategy1. Relative Strength Index (RSI) Overview: The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. It ranges from 0 to 100 and is typically used to identify overbought or oversold conditions in a market. How to Use with Ichimoku: Long Entry: Look for RSI to be above 30 (indicating it is not oversold) when the price is above the Ichimoku Cloud. Short Entry: Look for RSI to be below 70 (indicating it is not overbought) when the price is below the Ichimoku Cloud. 2. Moving Average Convergence Divergence (MACD) Overview: The MACD is a trend-following momentum indicator that shows the relationship between two moving averages of a security’s price. It consists of the MACD line, signal line, and histogram. How to Use with Ichimoku: Long Entry: Enter a long position when the MACD line crosses above the signal line while the price is above the Ichimoku Cloud. Short Entry: Enter a short position when the MACD line crosses below the signal line while the price is below the Ichimoku Cloud. Combined Strategy Example Here’s a brief outline of how to structure a trading strategy using Ichimoku, RSI, and MACD: Long Entry Conditions: Price is above the Ichimoku Cloud. RSI is above 30. MACD line crosses above the signal line. Short Entry Conditions: Price is below the Ichimoku Cloud. RSI is below 70. MACD line crosses below the signal line. Exit Conditions: Exit long when MACD line crosses below the signal line. Exit short when MACD line crosses above the signal line.
Strategia Pine Script®
di ai_indicator
Mean Reversion Cloud (Ornstein-Uhlenbeck) // AlgoFyreThe Mean Reversion Cloud (Ornstein-Uhlenbeck) indicator detects mean-reversion opportunities by applying the Ornstein-Uhlenbeck process. It calculates a dynamic mean using an Exponential Weighted Moving Average, surrounded by volatility bands, signaling potential buy/sell points when prices deviate. TABLE OF CONTENTS 🔶 ORIGINALITY 🔸Adaptive Mean Calculation 🔸Volatility-Based Cloud 🔸Speed of Reversion (θ) 🔶 FUNCTIONALITY 🔸Dynamic Mean and Volatility Bands 🞘 How it works 🞘 How to calculate 🞘 Code extract 🔸Visualization via Table and Plotshapes 🞘 Table Overview 🞘 Plotshapes Explanation 🞘 Code extract 🔶 INSTRUCTIONS 🔸Step-by-Step Guidelines 🞘 Setting Up the Indicator 🞘 Understanding What to Look For on the Chart 🞘 Possible Entry Signals 🞘 Possible Take Profit Strategies 🞘 Possible Stop-Loss Levels 🞘 Additional Tips 🔸Customize settings 🔶 CONCLUSION ▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅▅ 🔶 ORIGINALITY The Mean Reversion Cloud (Ornstein-Uhlenbeck) is a unique indicator that applies the Ornstein-Uhlenbeck stochastic process to identify mean-reverting behavior in asset prices. Unlike traditional moving average-based indicators, this model uses an Exponentially Weighted Moving Average (EWMA) to calculate the long-term mean, dynamically adjusting to recent price movements while still considering all historical data. It also incorporates volatility bands, providing a "cloud" that visually highlights overbought or oversold conditions. By calculating the speed of mean reversion (θ) through the autocorrelation of log returns, this indicator offers traders a more nuanced and mathematically robust tool for identifying mean-reversion opportunities. These innovations make it especially useful for markets that exhibit range-bound characteristics, offering timely buy and sell signals based on statistical deviations from the mean. 🔸Adaptive Mean Calculation Traditional MA indicators use fixed lengths, which can lead to lagging signals or over-sensitivity in volatile markets. The Mean Reversion Cloud uses an Exponentially Weighted Moving Average (EWMA), which adapts to price movements by dynamically adjusting its calculation, offering a more responsive mean. 🔸Volatility-Based Cloud Unlike simple moving averages that only plot a single line, the Mean Reversion Cloud surrounds the dynamic mean with volatility bands. These bands, based on standard deviations, provide traders with a visual cue of when prices are statistically likely to revert, highlighting potential reversal zones. 🔸Speed of Reversion (θ) The indicator goes beyond price averages by calculating the speed at which the price reverts to the mean (θ), using the autocorrelation of log returns. This gives traders an additional tool for estimating the likelihood and timing of mean reversion, making the signals more reliable in practice. 🔶 FUNCTIONALITY The Mean Reversion Cloud (Ornstein-Uhlenbeck) indicator is designed to detect potential mean-reversion opportunities in asset prices by applying the Ornstein-Uhlenbeck stochastic process. It calculates a dynamic mean through the Exponentially Weighted Moving Average (EWMA) and plots volatility bands based on the standard deviation of the asset's price over a specified period. These bands create a "cloud" that represents expected price fluctuations, helping traders to identify overbought or oversold conditions. By calculating the speed of reversion (θ) from the autocorrelation of log returns, the indicator offers a more refined way of assessing how quickly prices may revert to the mean. Additionally, the inclusion of volatility provides a comprehensive view of market conditions, allowing for more accurate buy and sell signals. Let's dive into the details: 🔸Dynamic Mean and Volatility Bands The dynamic mean (μ) is calculated using the EWMA, giving more weight to recent prices but considering all historical data. This process closely resembles the Ornstein-Uhlenbeck (OU) process, which models the tendency of a stochastic variable (such as price) to revert to its mean over time. Volatility bands are plotted around the mean using standard deviation, forming the "cloud" that signals overbought or oversold conditions. The cloud adapts dynamically to price fluctuations and market volatility, making it a versatile tool for mean-reversion strategies. 🞘 How it works Step one: Calculate the dynamic mean (μ) The Ornstein-Uhlenbeck process describes how a variable, such as an asset's price, tends to revert to a long-term mean while subject to random fluctuations. In this indicator, the EWMA is used to compute the dynamic mean (μ), mimicking the mean-reverting behavior of the OU process. Use the EWMA formula to compute a weighted mean that adjusts to recent price movements. Assign exponentially decreasing weights to older data while giving more emphasis to current prices. Step two: Plot volatility bands Calculate the standard deviation of the price over a user-defined period to determine market volatility. Position the upper and lower bands around the mean by adding and subtracting a multiple of the standard deviation. 🞘 How to calculate Exponential Weighted Moving Average (EWMA) The EWMA dynamically adjusts to recent price movements: mu_t = lambda * mu_{t-1} + (1 - lambda) * P_t Where mu_t is the mean at time t, lambda is the decay factor, and P_t is the price at time t. The higher the decay factor, the more weight is given to recent data. Autocorrelation (ρ) and Standard Deviation (σ) To measure mean reversion speed and volatility: rho = correlation(log(close), log(close ), length) Where rho is the autocorrelation of log returns over a specified period. To calculate volatility: sigma = stdev(close, length) Where sigma is the standard deviation of the asset's closing price over a specified length. Upper and Lower Bands The upper and lower bands are calculated as follows: upper_band = mu + (threshold * sigma) lower_band = mu - (threshold * sigma) Where threshold is a multiplier for the standard deviation, usually set to 2. These bands represent the range within which the price is expected to fluctuate, based on current volatility and the mean. 🞘 Code extract // Calculate Returns returns = math.log(close / close ) // Calculate Long-Term Mean (μ) using EWMA over the entire dataset var float ewma_mu = na // Initialize ewma_mu as 'na' ewma_mu := na(ewma_mu ) ? close : decay_factor * ewma_mu + (1 - decay_factor) * close mu = ewma_mu // Calculate Autocorrelation at Lag 1 rho1 = ta.correlation(returns, returns , corr_length) // Ensure rho1 is within valid range to avoid errors rho1 := na(rho1) or rho1 <= 0 ? 0.0001 : rho1 // Calculate Speed of Mean Reversion (θ) theta = -math.log(rho1) // Calculate Volatility (σ) sigma = ta.stdev(close, corr_length) // Calculate Upper and Lower Bands upper_band = mu + threshold * sigma lower_band = mu - threshold * sigma 🔸Visualization via Table and Plotshapes The table shows key statistics such as the current value of the dynamic mean (μ), the number of times the price has crossed the upper or lower bands, and the consecutive number of bars that the price has remained in an overbought or oversold state. Plotshapes (diamonds) are used to signal buy and sell opportunities. A green diamond below the price suggests a buy signal when the price crosses below the lower band, and a red diamond above the price indicates a sell signal when the price crosses above the upper band. The table and plotshapes provide a comprehensive visualization, combining both statistical and actionable information to aid decision-making. 🞘 Code extract // Reset consecutive_bars when price crosses the mean var consecutive_bars = 0 if (close < mu and close >= mu) or (close > mu and close <= mu) consecutive_bars := 0 else if math.abs(deviation) > 0 consecutive_bars := math.min(consecutive_bars + 1, dev_length) transparency = math.max(0, math.min(100, 100 - (consecutive_bars * 100 / dev_length))) 🔶 INSTRUCTIONS The Mean Reversion Cloud (Ornstein-Uhlenbeck) indicator can be set up by adding it to your TradingView chart and configuring parameters such as the decay factor, autocorrelation length, and volatility threshold to suit current market conditions. Look for price crossovers and deviations from the calculated mean for potential entry signals. Use the upper and lower bands as dynamic support/resistance levels for setting take profit and stop-loss orders. Combining this indicator with additional trend-following or momentum-based indicators can improve signal accuracy. Adjust settings for better mean-reversion detection and risk management. 🔸Step-by-Step Guidelines 🞘 Setting Up the Indicator Adding the Indicator to the Chart: Go to your TradingView chart. Click on the "Indicators" button at the top. Search for "Mean Reversion Cloud (Ornstein-Uhlenbeck)" in the indicators list. Click on the indicator to add it to your chart. Configuring the Indicator: Open the indicator settings by clicking on the gear icon next to its name on the chart. Decay Factor: Adjust the decay factor (λ) to control the responsiveness of the mean calculation. A higher value prioritizes recent data. Autocorrelation Length: Set the autocorrelation length (θ) for calculating the speed of mean reversion. Longer lengths consider more historical data. Threshold: Define the number of standard deviations for the upper and lower bands to determine how far price must deviate to trigger a signal. Chart Setup: Select the appropriate timeframe (e.g., 1-hour, daily) based on your trading strategy. Consider using other indicators such as RSI or MACD to confirm buy and sell signals. 🞘 Understanding What to Look For on the Chart Indicator Behavior: Observe how the price interacts with the dynamic mean and volatility bands. The price staying within the bands suggests mean-reverting behavior, while crossing the bands signals potential entry points. The indicator calculates overbought/oversold conditions based on deviation from the mean, highlighted by color-coded cloud areas on the chart. Crossovers and Deviation: Look for crossovers between the price and the mean (μ) or the bands. A bullish crossover occurs when the price crosses below the lower band, signaling a potential buying opportunity. A bearish crossover occurs when the price crosses above the upper band, suggesting a potential sell signal. Deviations from the mean indicate market extremes. A large deviation indicates that the price is far from the mean, suggesting a potential reversal. Slope and Direction: Pay attention to the slope of the mean (μ). A rising slope suggests bullish market conditions, while a declining slope signals a bearish market. The steepness of the slope can indicate the strength of the mean-reversion trend. 🞘 Possible Entry Signals Bullish Entry: Crossover Entry: Enter a long position when the price crosses below the lower band with a positive deviation from the mean. Confirmation Entry: Use additional indicators like RSI (above 50) or increasing volume to confirm the bullish signal. Bearish Entry: Crossover Entry: Enter a short position when the price crosses above the upper band with a negative deviation from the mean. Confirmation Entry: Look for RSI (below 50) or decreasing volume to confirm the bearish signal. Deviation Confirmation: Enter trades when the deviation from the mean is significant, indicating that the price has strayed far from its expected value and is likely to revert. 🞘 Possible Take Profit Strategies Static Take Profit Levels: Set predefined take profit levels based on historical volatility, using the upper and lower bands as guides. Place take profit orders near recent support/resistance levels, ensuring you're capitalizing on the mean-reversion behavior. Trailing Stop Loss: Use a trailing stop based on a percentage of the price deviation from the mean to lock in profits as the trend progresses. Adjust the trailing stop dynamically along the calculated bands to protect profits as the price returns to the mean. Deviation-Based Exits: Exit when the deviation from the mean starts to decrease, signaling that the price is returning to its equilibrium. 🞘 Possible Stop-Loss Levels Initial Stop Loss: Place an initial stop loss outside the lower band (for long positions) or above the upper band (for short positions) to protect against excessive deviations. Use a volatility-based buffer to avoid getting stopped out during normal price fluctuations. Dynamic Stop Loss: Move the stop loss closer to the mean as the price converges back towards equilibrium, reducing risk. Adjust the stop loss dynamically along the bands to account for sudden market movements. 🞘 Additional Tips Combine with Other Indicators: Enhance your strategy by combining the Mean Reversion Cloud with momentum indicators like MACD, RSI, or Bollinger Bands to confirm market conditions. Backtesting and Practice: Backtest the indicator on historical data to understand how it performs in various market environments. Practice using the indicator on a demo account before implementing it in live trading. Market Awareness: Keep an eye on market news and events that might cause extreme price movements. The indicator reacts to price data and might not account for news-driven events that can cause large deviations. 🔸Customize settings 🞘 Decay Factor (λ): Defines the weight assigned to recent price data in the calculation of the mean. A value closer to 1 places more emphasis on recent prices, while lower values create a smoother, more lagging mean. 🞘 Autocorrelation Length (θ): Sets the period for calculating the speed of mean reversion and volatility. Longer lengths capture more historical data, providing smoother calculations, while shorter lengths make the indicator more responsive. 🞘 Threshold (σ): Specifies the number of standard deviations used to create the upper and lower bands. Higher thresholds widen the bands, producing fewer signals, while lower thresholds tighten the bands for more frequent signals. 🞘 Max Gradient Length (γ): Determines the maximum number of consecutive bars for calculating the deviation gradient. This setting impacts the transparency of the plotted bands based on the length of deviation from the mean. 🔶 CONCLUSION The Mean Reversion Cloud (Ornstein-Uhlenbeck) indicator offers a sophisticated approach to identifying mean-reversion opportunities by applying the Ornstein-Uhlenbeck stochastic process. This dynamic indicator calculates a responsive mean using an Exponentially Weighted Moving Average (EWMA) and plots volatility-based bands to highlight overbought and oversold conditions. By incorporating advanced statistical measures like autocorrelation and standard deviation, traders can better assess market extremes and potential reversals. The indicator’s ability to adapt to price behavior makes it a versatile tool for traders focused on both short-term price deviations and longer-term mean-reversion strategies. With its unique blend of statistical rigor and visual clarity, the Mean Reversion Cloud provides an invaluable tool for understanding and capitalizing on market inefficiencies.
Indicatore Pine Script®
di AlgoFyre