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SuperTrade ST1 StrategyOverview The SuperTrade ST1 Strategy is a long-only trend-following strategy that combines a Supertrend indicator with a 200-period EMA filter to isolate high-probability bullish trade setups. It is designed to operate in trending markets, using volatility-based exits with a strict 1:4 Risk-to-Reward (R:R) ratio, meaning that each trade targets a profit 4× the size of its predefined risk. This strategy is ideal for traders looking to align with medium- to long-term trends, while maintaining disciplined risk control and minimal trade frequency. How It Works This strategy leverages three key components: Supertrend Indicator A trend-following indicator based on Average True Range (ATR). Identifies bullish/bearish trend direction by plotting a trailing stop line that moves with price volatility. 200-period Exponential Moving Average (EMA) Filter Trades are only taken when the price is above the EMA, ensuring participation only during confirmed uptrends. Helps filter out counter-trend entries during market pullbacks or ranges. ATR-Based Stop Loss and Take Profit Each trade uses the ATR to calculate volatility-adjusted exit levels. Stop Loss: 1× ATR below entry. Take Profit: 4× ATR above entry (1:4 R:R). This asymmetry ensures that even with a lower win rate, the strategy can remain profitable. Entry Conditions A long trade is triggered when: Supertrend flips from bearish to bullish (trend reversal). Price closes above the Supertrend line. Price is above the 200 EMA (bullish market bias). Exit Logic Once a long position is entered: Stop loss is set 1 ATR below entry. Take profit is set 4 ATR above entry. The strategy automatically exits the position on either target. Backtest Settings This strategy is configured for realistic backtesting, including: $10,000 account size 2% equity risk per trade 0.1% commission 1 tick slippage These settings aim to simulate real-world conditions and avoid overly optimistic results. How to Use Apply the script to any timeframe, though higher timeframes (1H, 4H, Daily) often yield more reliable signals. Works best in clearly trending markets (especially in crypto, stocks, indices). Can be paired with alerts for live trading or analysis. Important Notes This version is long-only by design. No short positions are executed. Ideal for swing traders or position traders seeking asymmetric returns. Users can modify the ATR period, Supertrend factor, or EMA filter length based on asset behavior.
Strategi Pine Script®
oleh SupertradeOfficial
Economic Seasons [Daveatt]Ever wondered what season your economy is in? Just like Mother Nature has her four seasons, the economy cycles through its own seasons! This indicator helps you visualize where we are in the economic cycle by tracking two key metrics: 📊 What We're Tracking: 1. Interest Rates (USIRYY) - The yearly change in interest rates 2. Inflation Rate (USINTR) - The rate at which prices are rising The magic happens when we normalize these values (fancy math that makes the numbers play nice together) and compare them to their recent averages. We use a lookback period to calculate the standard deviation and determine if we're seeing higher or lower than normal readings. 🔄 The Four Economic Seasons & Investment Strategy: 1. 🌸 Goldilocks (↑Growth, ↓Inflation) "Not too hot, not too cold" - The economy is growing steadily without overheating. BEST TIME TO: Buy growth stocks, technology, consumer discretionary WHY: Companies can grow earnings in this ideal environment of low rates and stable prices 2. 🌞 Reflation (↑Growth, ↑Inflation) "Party time... but watch your wallet!" - The economy is heating up. BEST TIME TO: Buy commodities, banking stocks, real estate WHY: These sectors thrive when inflation rises alongside growth 3. 🌡️ Inflation (↓Growth, ↑Inflation) "Ouch, my purchasing power!" - Growth slows while prices keep rising. BEST TIME TO: Rotate into value stocks, consumer staples, healthcare WHY: These defensive sectors maintain pricing power during inflationary periods 4. ❄️ Deflation (↓Growth, ↓Inflation) "Winter is here" - Both growth and inflation are falling. BEST TIME TO: Focus on quality bonds, cash positions, and dividend aristocrats WHY: Capital preservation becomes key; high-quality fixed income provides safety 🎯 Strategic Trading Points: - BUY AGGRESSIVELY: During late Deflation/early Goldilocks (the spring thaw) - HOLD & ACCUMULATE: Throughout Goldilocks and early Reflation - START TAKING PROFITS: During late Reflation/early Inflation - DEFENSIVE POSITIONING: Throughout Inflation and Deflation ⚠️ Warning Signs to Watch: - Goldilocks → Reflation: Time to reduce growth stock exposure - Reflation → Inflation: Begin rotating into defensive sectors - Inflation → Deflation: Quality becomes crucial - Deflation → Goldilocks: Start building new positions The blue dot shows you where we are right now in this cycle. The red arrows in the middle remind us that this is a continuous cycle - one season flows into the next, just like in nature! 💡 Pro Tip: The transitions between seasons often provide the best opportunities - but also the highest risks. Use additional indicators and fundamental analysis to confirm these shifts. Remember: Just like you wouldn't wear a winter coat in summer, you shouldn't use a Goldilocks strategy during Inflation! Time your trades with the seasons. 🎯 Happy Trading! 📈
Penunjuk Pine Script®
oleh Daveatt
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"
Penunjuk Pine Script®
oleh Sesilya
Market Regime IndexThe Market Regime Index is a top-down macro regime nowcasting tool that offers a consolidated view of the market’s risk appetite. It tracks 32 of the world’s most influential markets across asset classes to determine investor sentiment by applying trend-following signals to each independent asset. It features adjustable parameters and a built-in alert system that notifies investors when conditions transition between Risk-On and Risk-Off regimes. The selected markets are grouped into equities (7), fixed income (9), currencies (7), commodities (5), and derivatives (4): Equities = S&P 500 E-mini Index Futures, Nasdaq-100 E-mini Index Futures, Russell 2000 E-mini Index Futures, STOXX Europe 600 Index Futures, Nikkei 225 Index Futures, MSCI Emerging Markets Index Futures, and S&P 500 High Beta (SPHB)/Low Beta (SPLV) Ratio. Fixed Income = US 10Y Treasury Yield, US 2Y Treasury Yield, US 10Y-02Y Yield Spread, German 10Y Bund Yield, UK 10Y Gilt Yield, US 10Y Breakeven Inflation Rate, US 10Y TIPS Yield, US High Yield Option-Adjusted Spread, and US Corporate Option-Adjusted Spread. Currencies = US Dollar Index (DXY), Australian Dollar/US Dollar, Euro/US Dollar, Chinese Yuan/US Dollar, Pound Sterling/US Dollar, Japanese Yen/US Dollar, and Bitcoin/US Dollar. Commodities = ICE Brent Crude Oil Futures, COMEX Gold Futures, COMEX Silver Futures, COMEX Copper Futures, and S&P Goldman Sachs Commodity Index (GSCI) Futures. Derivatives = CBOE S&P 500 Volatility Index (VIX), ICE US Bond Market Volatility Index (MOVE), CBOE 3M Implied Correlation Index, and CBOE VIX Volatility Index (VVIX)/VIX. All assets are directionally aligned with their historical correlation to the S&P 500. Each asset contributes equally based on its individual bullish or bearish signal. The overall market regime is calculated as the difference between the number of Risk-On and Risk-Off signals divided by the total number of assets, displayed as the percentage of markets confirming each regime. Green indicates Risk-On and occurs when the number of Risk-On signals exceeds Risk-Off signals, while red indicates Risk-Off and occurs when the number of Risk-Off signals exceeds Risk-On signals. Bullish Signal = (Fast MA – Slow MA) > (ATR × ATR Margin) Bearish Signal = (Fast MA – Slow MA) < –(ATR × ATR Margin) Market Regime = (Risk-On signals – Risk-Off signals) ÷ Total assets This indicator is designed with flexibility in mind, allowing users to include or exclude individual assets that contribute to the market regime and adjust the input parameters used for trend signal detection. These parameters apply to each independent asset, and the overall regime signal is smoothed by the signal length to reduce noise and enhance reliability. Investors can position according to the prevailing market regime by selecting factors that have historically outperformed under each regime environment to minimise downside risk and maximise upside potential: Risk-On Equity Factors = High Beta > Cyclicals > Low Volatility > Defensives. Risk-Off Equity Factors = Defensives > Low Volatility > Cyclicals > High Beta. Risk-On Fixed Income Factors = High Yield > Investment Grade > Treasuries. Risk-Off Fixed Income Factors = Treasuries > Investment Grade > High Yield. Risk-On Commodity Factors = Industrial Metals > Energy > Agriculture > Gold. Risk-Off Commodity Factors = Gold > Agriculture > Energy > Industrial Metals. Risk-On Currency Factors = Cryptocurrencies > Foreign Currencies > US Dollar. Risk-Off Currency Factors = US Dollar > Foreign Currencies > Cryptocurrencies. In summary, the Market Regime Index is a comprehensive macro risk-management tool that identifies the current market regime and helps investors align portfolio risk with the market’s underlying risk appetite. Its intuitive, color-coded design makes it an indispensable resource for investors seeking to navigate shifting market conditions and enhance risk-adjusted performance by selecting factors that have historically outperformed. While it has proven historically valuable, asset-specific characteristics and correlations evolve over time as market dynamics change.
Penunjuk Pine Script®
oleh QuantitativeAlpha
2
Multi-Band Comparison (Uptrend)Multi-Band Comparison Overview: The Multi-Band Comparison indicator is engineered to reveal critical levels of support and resistance in strong uptrends. In a healthy upward market, the price action will adhere closely to the 95th percentile line (the Upper Quantile Band), effectively “riding” it. This indicator combines a modified Bollinger Band (set at one standard deviation), quantile analysis (95% and 5% levels), and power‑law math to display a dynamic picture of market structure—highlighting a “golden channel” and robust support areas. Key Components & Calculations: The Golden Channel: Upper Bollinger Band & Upper Std Dev Band of the Upper Quantile Upper Bollinger Band: Calculation: boll_upper=SMA(close,length)+(boll_mult×stdev) boll_upper=SMA(close,length)+(boll_mult×stdev) Here, the 20-period SMA is used along with one standard deviation of the close, where the multiplier (boll_mult) is 1.0. Role in an Uptrend: In a healthy uptrend, price rides near the 95th percentile line. When price crosses above this Upper Bollinger Band, it confirms strong bullish momentum. Upper Std Dev Band of the Upper Quantile (95th Percentile) Band: Calculation: quant_upper_std_up=quant_upper+stdev quant_upper_std_up=quant_upper+stdev The Upper Quantile Band, quant_upperquant_upper, is calculated as the 95th percentile of recent price data. Adding one standard deviation creates an extension that accounts for normal volatility around this extreme level. The Golden Channel: When the price crosses above the Upper Bollinger Band, the Upper Std Dev Band of the Upper Quantile immediately shifts to gold (yellow) and remains gold until price falls below the Bollinger level. Together, these two lines form the “golden channel”—a visual hallmark of a healthy uptrend where the price reliably hugs the 95th percentile level. Upper Power‑Law Band Calculation: The Upper Power‑Law Band is derived in two steps: Determine the Extreme Return Factor: power_upper=Percentile(returns,95%) power_upper=Percentile(returns,95%) where returns are computed as: returns=closeclose −1. returns=close close​−1. Scale the Current Price: power_upper_band=close×(1+power_upper) power_upper_band=close×(1+power_upper) Rationale and Correlation: By focusing on the upper 5% of returns (reflecting “fat tails”), the Upper Power‑Law Band captures extreme but statistically expected movements. In an uptrend, its value often converges with the Upper Std Dev Band of the Upper Quantile because both measures reflect heightened volatility and extreme price levels. When the Upper Power‑Law Band exceeds the Upper Std Dev Band, it can signal a temporary overextension. Upper Quantile Band (95% Percentile) Calculation: quant_upper=Percentile(price,95%) quant_upper=Percentile(price,95%) This level represents where 95% of past price data falls below, and in a robust uptrend the price action practically rides this line. Color Logic: Its color shifts from a neutral (blackish) tone to a vibrant, bullish hue when the Upper Power‑Law Band crosses above it—signaling extra strength in the trend. Lower Quantile and Its Support Lower Quantile Band (5% Percentile): Calculation: quant_lower=Percentile(price,5%) quant_lower=Percentile(price,5%) Behavior: In a healthy uptrend, price remains well above the Lower Quantile Band. It turns red only when price touches or crosses it, serving as a warning signal. Under normal conditions it remains bright green, indicating the market is not nearing these extreme lows. Lower Std Dev Band of the Lower Quantile: This line is calculated by subtracting one standard deviation from quant_lowerquant_lower and typically serves as absolute support in nearly all conditions (except during gap or near-gap moves). Its consistent role as support provides traders with a robust level to monitor. How to Use the Indicator: Golden Channel and Trend Confirmation: As price rides the Upper Quantile (95th percentile) perfectly in a healthy uptrend, the Upper Bollinger Band (1 stdev above SMA) and the Upper Std Dev Band of the Upper Quantile form a “golden channel” once price crosses above the Bollinger level. When this occurs, the Upper Std Dev Band remains gold until price dips back below the Bollinger Band. This visual cue reinforces trend strength. Power‑Law Insights: The Upper Power‑Law Band, which is based on extreme (95th percentile) returns, tends to align with the Upper Std Dev Band. This convergence reinforces that extreme, yet statistically expected, price moves are occurring—indicating that even though the price rides the 95th percentile, it can only stretch so far before a correction or consolidation. Support Indicators: Primary and Secondary Support in Uptrends: The Upper Bollinger Band and the Lower Std Dev Band of the Upper Quantile act as support zones for minor retracements in the uptrend. Absolute Support: The Lower Std Dev Band of the Lower Quantile serves as an almost invariable support area under most market conditions. Conclusion: The Multi-Band Comparison indicator unifies advanced statistical techniques to offer a clear view of uptrend structure. In a healthy bull market, price action rides the 95th percentile line with precision, and when the Upper Bollinger Band is breached, the corresponding Upper Std Dev Band turns gold to form a “golden channel.” This, combined with the Power‑Law analysis that captures extreme moves, and the robust lower support levels, provides traders with powerful, multi-dimensional insights for managing entries, exits, and risk. Disclaimer: Trading involves risk. This indicator is for educational purposes only and does not constitute financial advice. Always perform your own analysis before making trading decisions.
Penunjuk Pine Script®
oleh garysebastianbrowniii
Enhanced Economic Composite with Dynamic WeightEnhanced Economic Composite with Dynamic Weight Overview of the Indicator : The "Enhanced Economic Composite with Dynamic Weight" is a comprehensive tool that combines multiple economic indicators, technical signals, and dynamic weighting to provide insights into market and economic health. It adjusts based on current volatility and recession risk, offering a detailed view of market conditions. What This Indicator Does : Tracks Economic Health: Uses key economic and market indicators to assess overall market conditions. Dynamic Weighting: Adjusts the importance of components like stock indices, gold, and bonds based on volatility (VIX) and yield curve inversion. Technical Signals: Identifies market momentum shifts through key crossovers like the Golden Cross, Death Cross, Silver Cross, and Hospice Cross. Recession Shading: Marks known recessions for historical context. Economic Factors Considered : TIP (Treasury Inflation-Protected Securities): Reflects inflation expectations. Gold: A safe-haven asset, increases in weight during volatility or rising momentum. US Dollar Index (DXY): Measures USD strength, fixed weight of 10%, smoothed with EMA. Commodities (DBC): Indicates global demand; weight increases with momentum or volatility. Volatility Index (VIX): Reflects market risk, inversely related to market confidence. Stock Indices (S&P 500, DJIA, NASDAQ, Russell 2000): Represent market performance, with weights reduced during high volatility or negative yield spread. Yield Spread (10Y - 2Y Treasuries): Predicts recessions; negative spread reduces stock weighting. Credit Spread (HYG - TLT): Indicates market risk through corporate vs. government bond yields. How and Why Factors are Weighted: Stock Indices get more weight in stable markets (low VIX, positive yield spread), while safe-haven assets like gold and bonds gain weight in volatile markets or during yield curve inversions. This dynamic adjustment ensures the composite reflects current market sentiment. Technical Signals: Golden Cross: 50 EMA crossing above 200 SMA, signaling bullish momentum. Death Cross: 50 EMA below 200 SMA, indicating bearish momentum. Silver Cross: 21 EMA crossing above 50 EMA, plotted only if below the 200-day SMA, signaling potential upside in downtrend conditions. Hospice Cross: 50 EMA crosses below 21 EMA, plotted only if 21 EMA is below 200 SMA, a leading bearish signal. Recession Shading: Recession periods like the Great Recession, Early 2000s Recession, and COVID-19 Recession are shaded to provide historical context. Benefits of Using This Indicator: Comprehensive Analysis: Combines economic fundamentals and technical analysis for a full market view. Dynamic Risk Adjustment: Weights shift between growth and safe-haven assets based on volatility and recession risk. Early Signals: The Silver Cross and Hospice Cross provide early warnings of potential market shifts. Recession Forecasting: Helps predict downturns through the yield curve and recession indicators. Who Can Benefit: Traders: Identify market momentum shifts early through crossovers. Long-term Investors: Use recession warnings and dynamic adjustments to protect portfolios. Analysts: A holistic tool for analyzing both economic trends and market movements. This indicator helps users navigate varying market conditions by dynamically adjusting based on economic factors and providing early technical signals for market momentum shifts.
Penunjuk Pine Script®
oleh bigcitytom
1
CE - Market Performance TableThe 𝓜𝓪𝓻𝓴𝓮𝓽 𝓟𝓮𝓻𝓯𝓸𝓻𝓶𝓪𝓷𝓬𝓮 𝓣𝓪𝓫𝓵𝓮 is a sophisticated market tool designed to provide valuable insights into the current market trends and the approximate current position in the Macroeconomic Regime. Furthermore the 𝓜𝓪𝓻𝓴𝓮𝓽 𝓟𝓮𝓻𝓯𝓸𝓻𝓶𝓪𝓷𝓬𝓮 𝓣𝓪𝓫𝓵𝓮 provides the Correlation Implied Trend for the Asset on the Chart. Lastly it provides information about current "RISK ON" or "RISK OFF" periods. Methodology: 𝓜𝓪𝓻𝓴𝓮𝓽 𝓟𝓮𝓻𝓯𝓸𝓻𝓶𝓪𝓷𝓬𝓮 𝓣𝓪𝓫𝓵𝓮 tracks the 15 underlying Stock ETF's to identify their performance and puts the combined performances together to visualize 42MACRO's GRID Equity Model. For this it uses the below ETF's: Dividends (SPHD) Low Beta (SPLV) Quality (QUAL) Defensives (DEF) Growth (IWF) High Beta (SPHB) Cyclicals (IYT, IWN) Value (IWD) Small Caps (IWM) Mid Caps (IWR) Mega Cap Growth (MGK) Size (OEF) Momentum (MTUM) Large Caps (IWB) Overall Settings: The main time values you want to change are: Correlation Length - Defines the time horizon for the Correlation Table ROC Period - Defines the time horizon for the Performance Table Normalization lookback - Defines the time horizon for the Trend calculation of the ETF's - For longer term Trends over weeks or months a length of 50 is usually pretty accurate Visuals: There is a variety of options to change the visual settings of what is being plotted and the two table positions and additional considerations. Everything that is relevant in the underlying logic that can help comprehension can be visualized with these options. Market Correlation: The Market Correlation Table takes the Correlation of the above ETF's to the Asset on the Chart, it furthermore uses the Normalized KAMA Oscillator by IkkeOmar to analyse the current trend of every single ETF. It then Implies a Correlation based on the Trend and the Correlation to give a probabilistically adjusted expectation for the future Chart Asset Movement. This is strengthened by taking the average of all Implied Trends. With this the Correlation Table provides valuable insights about probabilistically likely Movement of the Asset, for Traders and Investors alike, over the defined time duration. Market Performance: 𝓜𝓪𝓻𝓴𝓮𝓽 𝓟𝓮𝓻𝓯𝓸𝓻𝓶𝓪𝓷𝓬𝓮 𝓣𝓪𝓫𝓵𝓮 is the actual valuable part of this Indicator. It provides valuable information about the current market environment (whether it's risk on or risk off), the rough GRID models from 42MACRO and the actual market performance. This allows you to obtain a deeper understanding of how the market works and makes it simple to identify the actual market direction. Utility: The 𝓜𝓪𝓻𝓴𝓮𝓽 𝓟𝓮𝓻𝓯𝓸𝓻𝓶𝓪𝓷𝓬𝓮 𝓣𝓪𝓫𝓵𝓮 is divided in 4 Sections which are the GRID regimes: Economic Growth: Goldilocks Reflation Economic Contraction: Inflation Deflation Top 5 Equity Style Factors: Are the values green for a specific Column? If so then the market reflects the corresponding GRID behavior. Bottom 5 Equity Style Factors: Are the values red for a specific Column? If so then the market reflects the corresponding GRID behavior. So if we have Goldilocks as current regime we would see green values in the Top 5 Goldilocks Cells and red values in the Bottom 5 Goldilocks Cells. You will find that Reflation will look similar, as it is also a sign of Economic Growth. Same is the case for the two Contraction regimes.
Penunjuk Pine Script®
oleh Celestial-Eye
3
MathConstantsLibrary "MathConstants" Mathematical Constants E() The number e Log2E() The number log (e) Log10E() The number log (e) Ln2() The number log (2) Ln10() The number log (10) LnPi() The number log (pi) Ln2PiOver2() The number log (2*pi)/2 InvE() The number 1/e SqrtE() The number sqrt(e) Sqrt2() The number sqrt(2) Sqrt3() The number sqrt(3) Sqrt1Over2() The number sqrt(1/2) = 1/sqrt(2) = sqrt(2)/2 HalfSqrt3() The number sqrt(3)/2 Pi() The number pi Pi2() The number pi*2 PiOver2() The number pi/2 Pi3Over2() The number pi*3/2 PiOver4() The number pi/4 SqrtPi() The number sqrt(pi) Sqrt2Pi() The number sqrt(2pi) SqrtPiOver2() The number sqrt(pi/2) Sqrt2PiE() The number sqrt(2*pi*e) LogSqrt2Pi() The number log(sqrt(2*pi)) LogSqrt2PiE() The number log(sqrt(2*pi*e)) LogTwoSqrtEOverPi() The number log(2 * sqrt(e / pi)) InvPi() The number 1/pi TwoInvPi() The number 2/pi InvSqrtPi() The number 1/sqrt(pi) InvSqrt2Pi() The number 1/sqrt(2pi) TwoInvSqrtPi() The number 2/sqrt(pi) TwoSqrtEOverPi() The number 2 * sqrt(e / pi) Degree() The number (pi)/180 - factor to convert from Degree (deg) to Radians (rad). Grad() The number (pi)/200 - factor to convert from NewGrad (grad) to Radians (rad). PowerDecibel() The number ln(10)/20 - factor to convert from Power Decibel (dB) to Neper (Np). Use this version when the Decibel represent a power gain but the compared values are not powers (e.g. amplitude, current, voltage). NeutralDecibel() The number ln(10)/10 - factor to convert from Neutral Decibel (dB) to Neper (Np). Use this version when either both or neither of the Decibel and the compared values represent powers. Catalan() The Catalan constant Sum(k=0 -> inf){ (-1)^k/(2*k + 1)2 } EulerMascheroni() The Euler-Mascheroni constant lim(n -> inf){ Sum(k=1 -> n) { 1/k - log(n) } } GoldenRatio() The number (1+sqrt(5))/2, also known as the golden ratio Glaisher() The Glaisher constant e^(1/12 - Zeta(-1)) Khinchin() The Khinchin constant prod(k=1 -> inf){1+1/(k*(k+2))^log(k,2)}
Perpustakaan Pine Script®
oleh RicardoSantos
3
Filter Cross1. Indicator Name Filter Cross Indicator 2. One-line Introduction A multi-filtered crossover strategy that enhances classic moving average signals with trend, volatility, volume, and momentum confirmation. 3. General Overview The Filter Cross indicator builds upon the traditional golden/dead cross concept by incorporating additional market filters to evaluate the quality of each signal. It uses two key moving averages (50-period and 200-period SMA) to identify crossovers, while adding four advanced metrics: Linear regression trend ordering, ATR-based volatility positioning, Volume pressure, Price positioning relative to fast MA. These components are individually scored and averaged to calculate a Confidence %, which is displayed on the chart alongside each crossover signal. Visual cues such as dynamic color changes reflect the current trend direction and strength, making it intuitive for both novice and experienced traders. The indicator is especially effective in swing trading and trend-following strategies, where false signals can be filtered out through the additional logic. Security measures are applied to ensure that the core logic remains protected, making it safe for proprietary use. 4. Key Advantages ✅ Multi-factor Signal Validation Evaluates each signal using four key market filters to improve reliability over classic crossovers. 📉 Confidence Score Display Each signal is accompanied by a Confidence % label to help traders assess entry/exit quality. 🎨 Dynamic Color Feedback Automatically adjusts chart color based on trend intensity and direction, aiding visual clarity. 🔍 Linear Regression Trend Logic Uses pairwise comparison of regression data to quantify trend alignment across lookback periods. 📈 Reduced False Signals Minimizes noise and weak signals during sideways markets using adaptive thresholds. 📘 Indicator User Guide 📌 Basic Concept Filter Cross enhances moving average crossover signals using four additional market-based filters. These include trend alignment, volatility range, volume strength, and price momentum. Final signals are graded with a Confidence % score, showing how favorable the conditions are for action. ⚙️ Settings Explained Fast MA Length: Short-term moving average period (default: 50) Slow MA Length: Long-term moving average period (default: 200) Linear Regression Length: Period used to assess price trend alignment Trend Lookback / Threshold: Sensitivity controls for trend scoring Volume Lookback / ATR Length: Defines volatility and volume filters Bull/Bear Color: Customize visual colors for bullish and bearish signals 📈 Buy Timing Example Golden Cross occurs (50 MA crosses above 200 MA) Confidence % is above 70% Trend color turns green, volume is rising, price above fast MA → Strong entry signal 📉 Sell Timing Example Dead Cross occurs (50 MA crosses below 200 MA) Confidence % above 60% indicates a reliable bearish setup Regression trend down, color turns red → Valid exit or short opportunity 🧪 Recommended Use Cases Combine with RSI or MACD for timing confirmation in swing trades Use Confidence % to filter out weak crossover signals during sideways trends Effective in medium-to-long term trading with volatile assets 🔒 Precautions Confidence % reflects current conditions—not future prediction—use with discretion May produce delayed signals in ranging markets; test before real application Best results achieved when combined with other indicators or price action context Always optimize parameters based on the specific market or asset being traded +++
Penunjuk Pine Script®
oleh c9indicator
Stochastic Hash Strat [Hash Capital Research]# Stochastic Hash Strategy by Hash Capital Research ## 🎯 What Is This Strategy? The **Stochastic Slow Strategy** is a momentum-based trading system that identifies oversold and overbought market conditions to capture mean-reversion opportunities. Think of it as a "buy low, sell high" approach with smart mathematical filters that remove emotion from your trading decisions. Unlike fast-moving indicators that generate excessive noise, this strategy uses **smoothed stochastic oscillators** to identify only the highest-probability setups when momentum truly shifts. --- ## 💡 Why This Strategy Works Most traders fail because they: - **Chase prices** after big moves (buying high, selling low) - **Overtrade** in choppy, directionless markets - **Exit too early** or hold losses too long This strategy solves all three problems: 1. **Entry Discipline**: Only trades when the stochastic oscillator crosses in extreme zones (oversold for longs, overbought for shorts) 2. **Cooldown Filter**: Prevents revenge trading by forcing a waiting period after each trade 3. **Fixed Risk/Reward**: Pre-defined stop-loss and take-profit levels ensure consistent risk management **The Math Behind It**: The stochastic oscillator measures where the current price sits relative to its recent high-low range. When it's below 25, the market is oversold (time to buy). When above 70, it's overbought (time to sell). The crossover with its moving average confirms momentum is shifting. --- ## 📊 Best Markets & Timeframes ### ⭐ OPTIMAL PERFORMANCE: **Crude Oil (WTI) - 12H Timeframe** - **Why it works**: Oil markets have predictable volatility patterns and respect technical levels **AAVE/USD - 4H to 12H Timeframe** - **Why it works**: DeFi tokens exhibit strong momentum cycles with clear extremes ### ✅ Also Works Well On: - **BTC/USD** (12H, Daily) - Lower frequency but high win rate - **ETH/USD** (8H, 12H) - Balanced volatility and liquidity - **Gold (XAU/USD)** (Daily) - Classic mean-reversion asset - **EUR/USD** (4H, 8H) - Lower volatility, requires patience ### ❌ Avoid Using On: - Timeframes below 4H (too much noise) - Low-liquidity altcoins (wide spreads kill performance) - Strongly trending markets without pullbacks (Bitcoin in 2021) - News-driven instruments during major events --- ## 🎛️ Understanding The Settings ### Core Stochastic Parameters **Stochastic Length (Default: 16)** - Controls the lookback period for price comparison - Lower = faster reactions, more signals (10-14 for volatile markets) - Higher = smoother signals, fewer trades (16-21 for stable markets) - **Pro tip**: Use 10 for crypto 4H, 16 for commodities 12H **Overbought Level (Default: 70)** - Threshold for short entries - Lower values (65-70) = more trades, earlier entries - Higher values (75-80) = fewer but higher-conviction trades - **Sweet spot**: 70 works for most assets **Oversold Level (Default: 25)** - Threshold for long entries - Higher values (25-30) = more trades, earlier entries - Lower values (15-20) = fewer but stronger bounce setups - **Sweet spot**: 20-25 depending on market conditions **Smooth K & Smooth D (Default: 7 & 3)** - Additional smoothing to filter out whipsaws - K=7 makes the indicator slower and more reliable - D=3 is the signal line that confirms the trend - **Don't change these unless you know what you're doing** --- ### Risk Management **Stop Loss % (Default: 2.2%)** - Automatically exits losing trades - Should be 1.5x to 2x your average market volatility - Too tight = death by a thousand cuts - Too wide = uncontrolled losses - **Calibration**: Check ATR indicator and set SL slightly above it **Take Profit % (Default: 7%)** - Automatically exits winning trades - Should be 2.5x to 3x your stop loss (reward-to-risk ratio) - This default gives 7% / 2.2% = 3.18:1 R:R - **The golden rule**: Never have R:R below 2:1 --- ### Trade Filters **Bar Cooldown Filter (Default: ON, 3 bars)** - **What it does**: Forces you to wait X bars after closing a trade before entering a new one - **Why it matters**: Prevents emotional revenge trading and overtrading in choppy markets - **Settings guide**: - 3 bars = Standard (good for most cases) - 5-7 bars = Conservative (oil, slow-moving assets) - 1-2 bars = Aggressive (only for experienced traders) **Exit on Opposite Extreme (Default: ON)** - Closes your long when stochastic hits overbought (and vice versa) - Acts as an early profit-taking mechanism - **Leave this ON** unless you're testing other exit strategies **Divergence Filter (Default: OFF)** - Looks for price/momentum divergences for additional confirmation - **When to enable**: Trending markets where you want fewer but higher-quality trades - **Keep OFF for**: Mean-reverting markets (oil, forex, most of the time) --- ## 🚀 Quick Start Guide ### Step 1: Set Up in TradingView 1. Open TradingView and navigate to your chart 2. Click "Pine Editor" at the bottom 3. Copy and paste the strategy code 4. Click "Add to Chart" 5. The strategy will appear in a separate pane below your price chart ### Step 2: Choose Your Market **If you're trading Crude Oil:** - Timeframe: 12H - Keep all default settings - Watch for signals during London/NY overlap (8am-11am EST) **If you're trading AAVE or crypto:** - Timeframe: 4H or 12H - Consider these adjustments: - Stochastic Length: 10-14 (faster) - Oversold: 20 (more aggressive) - Take Profit: 8-10% (higher targets) ### Step 3: Wait for Your First Signal **LONG Entry** (Green circle appears): - Stochastic crosses up below oversold level (25) - Price likely near recent lows - System places limit order at take profit and stop loss **SHORT Entry** (Red circle appears): - Stochastic crosses down above overbought level (70) - Price likely near recent highs - System places limit order at take profit and stop loss **EXIT** (Orange circle): - Position closes either at stop, target, or opposite extreme - Cooldown period begins ### Step 4: Let It Run The biggest mistake? **Interfering with the system.** - Don't close trades early because you're scared - Don't skip signals because you "have a feeling" - Don't increase position size after a big win - Don't revenge trade after a loss **Follow the system or don't use it at all.** --- ### Important Risks: 1. **Drawdown Pain**: You WILL experience losing streaks of 5-7 trades. This is mathematically normal. 2. **Whipsaw Markets**: Choppy, range-bound conditions can trigger multiple small losses. 3. **Gap Risk**: Overnight gaps can cause your actual fill to be worse than the stop loss. 4. **Slippage**: Real execution prices differ from backtested prices (factor in 0.1-0.2% slippage). --- ## 🔧 Optimization Guide ### When to Adjust Settings: **Market Volatility Increased?** - Widen stop loss by 0.5-1% - Increase take profit proportionally - Consider increasing cooldown to 5-7 bars **Getting Too Few Signals?** - Decrease stochastic length to 10-12 - Increase oversold to 30, decrease overbought to 65 - Reduce cooldown to 2 bars **Getting Too Many Losses?** - Increase stochastic length to 18-21 (slower, smoother) - Enable divergence filter - Increase cooldown to 5+ bars - Verify you're on the right timeframe ### A/B Testing Method: 1. **Run default settings for 50 trades** on your chosen market 2. Document: Win rate, profit factor, max drawdown, emotional tolerance 3. **Change ONE variable** (e.g., oversold from 25 to 20) 4. Run another 50 trades 5. Compare results 6. Keep the better version **Never change multiple settings at once** or you won't know what worked. --- ## 📚 Educational Resources ### Key Concepts to Learn: **Stochastic Oscillator** - Developed by George Lane in the 1950s - Measures momentum by comparing closing price to price range - Formula: %K = (Close - Low) / (High - Low) × 100 - Similar to RSI but more sensitive to price movements **Mean Reversion vs. Trend Following** - This is a **mean reversion** strategy (price returns to average) - Works best in ranging markets with defined support/resistance - Fails in strong trending markets (2017 Bitcoin, 2020 Tech stocks) - Complement with trend filters for better results **Risk:Reward Ratio** - The cornerstone of profitable trading - Winning 40% of trades with 3:1 R:R = profitable - Winning 60% of trades with 1:1 R:R = breakeven (after fees) - **This strategy aims for 45% win rate with 2.5-3:1 R:R** ### Recommended Reading: - *"Trading Systems and Methods"* by Perry Kaufman (Chapter on Oscillators) - *"Mean Reversion Trading Systems"* by Howard Bandy - *"The New Trading for a Living"* by Dr. Alexander Elder --- ## 🛠️ Troubleshooting ### "I'm not seeing any signals!" **Check:** - Is your timeframe 4H or higher? - Is the stochastic actually reaching extreme levels (check if your asset is stuck in middle range)? - Is cooldown still active from a previous trade? - Are you on a low-liquidity pair? **Solution**: Switch to a more volatile asset or lower the overbought/oversold thresholds. --- ### "The strategy keeps losing money!" **Check:** - What's your win rate? (Below 35% is concerning) - What's your profit factor? (Below 0.8 means serious issues) - Are you trading during major news events? - Is the market in a strong trend? **Solution**: 1. Verify you're using recommended markets/timeframes 2. Increase cooldown period to avoid choppy markets 3. Reduce position size to 5% while you diagnose 4. Consider switching to daily timeframe for less noise --- ### "My stop losses keep getting hit!" **Check:** - Is your stop loss tighter than the average ATR? - Are you trading during high-volatility sessions? - Is slippage eating into your buffer? **Solution**: 1. Calculate the 14-period ATR 2. Set stop loss to 1.5x the ATR value 3. Avoid trading right after market open or major news 4. Factor in 0.2% slippage for crypto, 0.1% for oil --- ## 💪 Pro Tips from the Trenches ### Psychological Discipline **The Three Deadly Sins:** 1. **Skipping signals** - "This one doesn't feel right" 2. **Early exits** - "I'll just take profit here to be safe" 3. **Revenge trading** - "I need to make back that loss NOW" **The Solution:** Treat your strategy like a business system. Would McDonald's skip making fries because the cashier "doesn't feel like it today"? No. Systems work because of consistency. --- ### Position Management **Scaling In/Out** (Advanced) - Enter 50% position at signal - Add 50% if stochastic reaches 10 (oversold) or 90 (overbought) - Exit 50% at 1.5x take profit, let the rest run **This is NOT for beginners.** Master the basic system first. --- ### Market Awareness **Oil Traders:** - OPEC meetings = volatility spikes (avoid or widen stops) - US inventory reports (Wed 10:30am EST) = avoid trading 2 hours before/after - Summer driving season = different patterns than winter **Crypto Traders:** - Monday-Tuesday = typically lower volatility (fewer signals) - Thursday-Sunday = higher volatility (more signals) - Avoid trading during exchange maintenance windows --- ## ⚖️ Legal Disclaimer This trading strategy is provided for **educational purposes only**. - Past performance does not guarantee future results - Trading involves substantial risk of loss - Only trade with capital you can afford to lose - No one associated with this strategy is a licensed financial advisor - You are solely responsible for your trading decisions **By using this strategy, you acknowledge that you understand and accept these risks.** --- ## 🙏 Acknowledgments Strategy development inspired by: - George Lane's original Stochastic Oscillator work - Modern quantitative trading research - Community feedback from hundreds of backtests Built with ❤️ for retail traders who want systematic, disciplined approaches to the markets. --- **Good luck, stay disciplined, and trade the system, not your emotions.**
Strategi Pine Script®
oleh Hash_Capital
Trinity KST (known sure thing) ProThis version is the **modern, low-lag evolution** of Martin Pring’s original 1990s KST. Key differences from the classic KST - Original uses only simple moving averages (SMA) on the four ROCs → quite a bit of lag. - This version lets you replace every SMA with **ALMA, HEMA, TEMA, or EMA** → dramatically reduces lag while keeping the signal smooth and reliable. - ALMA + progressive offset (0.90–0.97) is especially powerful because longer-term ROCs react almost as fast as the short ones without getting noisy. - Histogram, clean labels inside the oscillator pane, alerts, background tint — all the quality-of-life stuff the original never had. How traders actually use it in >2026 1. Primary signal: KST crosses above/below the red signal line = momentum shift (bullish/bearish). 2. Zero-line cross = confirmation of trend change (especially strong on daily/weekly). 3. Divergences between price and KST = high-probability reversals (works great on BTC, SPX, NAS100). 4. Histogram turning from red to green (or vice-versa) = early warning before the actual line cross. Best settings I and many others run live right now (no table, just the winners) - Crypto & Nasdaq: **ALMA + aggressiveness 0.93–0.96** → fastest valid signals. - Forex pairs & Gold: **HEMA** (zero-lag Hull) → super clean, almost no whipsaw. - Broad stock indices (SPX, DAX, etc.): **ALMA 0.91–0.93** or **TEMA** → perfect middle ground. - Classic conservative daily/weekly swings: leave it on **SMA** (original Pring) or ALMA 0.88–0.90. In short: same reliable KST logic you already know, but now it reacts 6–12 bars earlier and with far fewer fakeouts — exactly what you need in today’s fast markets.
Penunjuk Pine Script®
oleh EMA34TRADER
2
EMA & MA Alert Strategies8 Trading Strategies for Alerts: Strategy 1: EMA Golden Cross / Death Cross EMA1 crosses above EMA2 → bullish momentum EMA1 crosses below EMA2 → bearish momentum Stronger: EMA1 crosses EMA3 Strategy 2: MA Golden Cross / Death Cross MA1 crosses above MA2 → trend reversal up MA1 crosses below MA2 → trend reversal down Strategy 3: EMA Alignment (Trend Direction) Bullish: EMA1 > EMA2 > EMA3 (uptrend) Bearish: EMA1 < EMA2 < EMA3 (downtrend) Alerts when alignment changes Strategy 4: Price vs EMA (Support/Resistance) Price breaks above EMA2/EMA3 → bullish breakout Price breaks below EMA2/EMA3 → bearish breakdown Strategy 5: EMA vs MA Crossover EMA1 crosses above MA1 → momentum exceeds trend EMA2 crosses above MA2 → stronger momentum signal Strategy 6: Pullback to EMA (Buy the Dip) Price pulls back to EMA2/EMA3 and bounces → buy signal Useful for entry during uptrends Strategy 7: EMA Squeeze/Expansion EMAs converging → potential breakout EMAs expanding → trend acceleration Strategy 8: Multi-Timeframe Confirmation Price above all EMAs and MAs → strong uptrend Price below all EMAs and MAs → strong downtrend
Penunjuk Pine Script®
oleh ajaychobey7
Flux-Tensor Singularity [FTS]Flux-Tensor Singularity - Multi-Factor Market Pressure Indicator The Flux-Tensor Singularity (FTS) is an advanced multi-factor oscillator that combines volume analysis, momentum tracking, and volatility-weighted normalization to identify critical market inflection points. Unlike traditional single-factor indicators, FTS synthesizes price velocity, volume mass, and volatility context into a unified framework that adapts to changing market regimes. This indicator identifies extreme market conditions (termed "singularities") where multiple confirming factors converge, then uses a sophisticated scoring system to determine directional bias. It is designed for traders seeking high-probability setups with built-in confluence requirements. THEORETICAL FOUNDATION The indicator is built on the premise that market time is not constant - different market conditions contain varying levels of information density. A 1-minute bar during a major news event contains far more actionable information than a 1-minute bar during overnight low-volume trading. Traditional indicators treat all bars equally; FTS does not. The theoretical framework draws conceptual parallels to physics (purely as a mental model, not literal physics): Volume as Mass: Large volume represents significant market participation and "weight" behind price moves. Just as massive objects have stronger gravitational effects, high-volume moves carry more significance. Price Change as Velocity: The rate of price movement through price space represents momentum and directional force. Volatility as Time Dilation: When volatility is high relative to its historical norm, the "information density" of each bar increases. The indicator weights these periods more heavily, similar to how time dilates near massive objects in physics. This is a pedagogical metaphor to create a coherent mental model - the underlying mathematics are standard financial calculations combined in a novel way. MATHEMATICAL FRAMEWORK The indicator calculates a composite singularity value through four distinct steps: Step 1: Raw Singularity Calculation S_raw = (ΔP × V) × γ² Where: ΔP = Price Velocity = close - close V = Volume Mass = log(volume + 1) γ² = Time Dilation Factor = (ATR_local / ATR_global)² Volume Transformation: Volume is log-transformed because raw volume can have extreme outliers (10x-100x normal). The logarithm compresses these spikes while preserving their significance. This is standard practice in volume analysis. Volatility Weighting: The ratio of short-term ATR (5 periods) to long-term ATR (user-defined lookback) is squared to create a volatility amplification factor. When local volatility exceeds global volatility, this ratio increases, amplifying the raw singularity value. This makes the indicator regime-aware. Step 2: Normalization The raw singularity values are normalized to a 0-100 scale using a stochastic-style calculation: S_normalized = ((S_raw - S_min) / (S_max - S_min)) × 100 Where S_min and S_max are the lowest and highest raw singularity values over the lookback period. Step 3: Epsilon Compression S_compressed = 50 + ((S_normalized - 50) / ε) This is the critical innovation that makes the sensitivity control functional. By applying compression AFTER normalization, the epsilon parameter actually affects the final output: ε < 1.0: Expands range (more signals) ε = 1.0: No change (default) ε > 1.0: Compresses toward 50 (fewer, higher-quality signals) For example, with ε = 2.0, a normalized value of 90 becomes 70, making threshold breaches rarer and more significant. Step 4: Smoothing S_final = EMA(S_compressed, smoothing_period) An exponential moving average removes high-frequency noise while preserving trend. SIGNAL GENERATION LOGIC When the tensor crosses above the upper threshold (default 90) or below the lower threshold (default 10), an extreme event is detected. However, the indicator does NOT immediately generate a buy or sell signal. Instead, it analyzes market context through a multi-factor scoring system: Scoring Components: Price Structure (+1 point): Current bar bullish/bearish Momentum (+1 point): Price higher/lower than N bars ago Trend Context (+2 points): Fast EMA above/below slow EMA (weighted heavier) Acceleration (+1 point): Rate of change increasing/decreasing Volume Multiplier (×1.5): If volume > average, multiply score The highest score (bullish vs bearish) determines signal direction. This prevents the common indicator failure mode of "overbought can stay overbought" by requiring directional confirmation. Signal Conditions: A BUY signal requires: Extreme event detection (tensor crosses threshold) Bullish score > Bearish score Price confirmation: Bullish candle (optional, user-controlled) Volume confirmation: Volume > average (optional, user-controlled) Momentum confirmation: Positive momentum (optional, user-controlled) A SELL signal requires the inverse conditions. INPUTS EXPLAINED - Core Parameters: Global Horizon (Context): Default 20. Lookback period for normalization and volatility comparison. Higher values = smoother but less responsive. Lower values = more signals but potentially more noise. Tensor Smoothing: Default 3. EMA period applied to final output. Removes "quantum foam" (high-frequency noise). Range 1-20. Singularity Threshold: Default 90. Values above this (or below 100-threshold) trigger extreme event detection. Higher = rarer, stronger signals. Signal Sensitivity (Epsilon): Default 1.0. Post-normalization compression factor. This is the key innovation - it actually works because it's applied AFTER normalization. Range 0.1-5.0. Signal Interpreter Toggles: Require Price Confirmation: Default ON. Only generates buy signals on bullish candles, sell signals on bearish candles. Reduces false signals but may delay entry. Require Volume Confirmation: Default ON. Only signals when volume > average. Critical for stocks/crypto, less important for forex (unreliable volume data). Use Momentum Filter: Default ON. Requires momentum agreement with signal direction. Prevents counter-trend signals. Momentum Lookback: Default 5. Number of bars for momentum calculation. Shorter = more responsive, longer = trend-following bias. Visual Controls: Colors: Customizable colors for bullish flux, bearish flux, background, and event horizon. Visual Transparency: Default 85. Master control for all visual elements (accretion disk, field lines, particles, etc.). Range 50-99. Signals and dashboard have separate controls. Visibility Toggles: Individual on/off switches for: Gravitational field lines (trend EMAs) Field reversals (trend crossovers) Accretion disk (background gradient) Singularity diamonds (neutral extreme events) Energy particles (volume bursts) Event horizon flash (extreme event background) Signal background flash Signal Size: Tiny/Small/Normal triangle size Signal Offsets: Separate controls for buy and sell signal vertical positioning (percentage of price) Dashboard Settings: Show Dashboard: Toggle on/off Position: 9 placement options (all corners, centers, middles) Text Size: Tiny/Small/Normal/Large Background Transparency: 0-50, separate from visual transparency VISUAL ELEMENTS EXPLAINED 1. Accretion Disk (Background Gradient): A three-layer gradient background that intensifies as the tensor approaches extremes. The outer disk appears at any non-neutral reading, the inner disk activates above 70 or below 30, and the core layer appears above 85 or below 15. Color indicates direction (cyan = bullish, red = bearish). This provides instant visual feedback on market pressure intensity. 2. Gravitational Field Lines (EMAs): Two trend-following EMAs (10 and 30 period) visualized as colored lines. These represent the "curvature" of market trend - when they diverge, trend is strong; when they converge, trend is weakening. Crossovers mark potential trend reversals. 3. Field Reversals (Circles): Small circles appear when the fast EMA crosses the slow EMA, indicating a potential trend change. These are distinct from extreme events and appear at normal market structure shifts. 4. Singularity Diamonds: Small diamond shapes appear when the tensor reaches extreme levels (>90 or <10) but doesn't meet the full signal criteria. These are "watch" events - extreme pressure exists but directional confirmation is lacking. 5. Energy Particles (Dots): Tiny dots appear when volume exceeds 2× average, indicating significant participation. Color matches bar direction. These highlight genuine high-conviction moves versus low-volume drifts. 6. Event Horizon Flash: A golden background flash appears the instant any extreme threshold is breached, before directional analysis. This alerts you to pay attention. 7. Signal Background Flash: When a full buy/sell signal is confirmed, the background flashes cyan (buy) or red (sell). This is your primary alert that all conditions are met. 8. Signal Triangles: The actual buy (▲) and sell (▼) markers. These only appear when ALL selected confirmation criteria are satisfied. Position is offset from bars to avoid overlap with other indicators. DASHBOARD METRICS EXPLAINED The dashboard displays real-time calculated values: Event Density: Current tensor value (0-100). Above 90 or below 10 = critical. Icon changes: 🔥 (extreme high), ❄️ (extreme low), ○ (neutral). Time Dilation (γ): Current volatility ratio squared. Values >2.0 indicate extreme volatility environments. >1.5 = elevated, >1.0 = above average. Icon: ⚡ (extreme), ⚠ (elevated), ○ (normal). Mass (Vol): Log-transformed volume value. Compared to volume ratio (current/average). Icon: ● (>2× avg), ◐ (>1× avg), ○ (below avg). Velocity (ΔP): Raw price change. Direction arrow indicates momentum direction. Shows the actual price delta value. Bullish Flux: Current bullish context score. Displayed as both a bar chart (visual) and numeric value. Brighter when bullish score dominates. Bearish Flux: Current bearish context score. Same visualization as bullish flux. These scores compete - the winner determines signal direction. Field: Trend direction based on EMA relationship. "Repulsive" (uptrend), "Attractive" (downtrend), "Neutral" (ranging). Icon: ⬆⬇↔ State: Current market condition: 🚀 EJECTION: Buy signal active 💥 COLLAPSE: Sell signal active ⚠ CRITICAL: Extreme event, no directional confirmation ● STABLE: Normal market conditions HOW TO USE THE INDICATOR 1. Wait for Extreme Events: The indicator is designed to be selective. Don't trade every fluctuation - wait for tensor to reach >90 or <10. This alone is not a signal. 2. Check Context Scores: Look at the Bullish Flux vs Bearish Flux in the dashboard. If scores are close (within 1-2 points), the market is indecisive - skip the trade. 3. Confirm with Signals: Only act when a full triangle signal appears (▲ or ▼). This means ALL your selected confirmation criteria have been met. 4. Use with Price Structure: Combine with support/resistance levels. A buy signal AT support is higher probability than a buy signal in the middle of nowhere. 5. Respect the Dashboard State: When State shows "CRITICAL" (⚠), it means extreme pressure exists but direction is unclear. These are the most dangerous moments - wait for resolution. 6. Volume Matters: Energy particles (dots) and the Mass metric tell you if institutions are participating. Signals without volume confirmation are lower probability. MARKET AND TIMEFRAME RECOMMENDATIONS Scalping (1m-5m): Lookback: 10-14 Smoothing: 5-7 Threshold: 85 Epsilon: 0.5-0.7 Note: Expect more noise. Confirm with Level 2 data. Best on highly liquid instruments. Intraday (15m-1h): Lookback: 20-30 (default settings work well) Smoothing: 3-5 Threshold: 90 Epsilon: 1.0 Note: Sweet spot for the indicator. High win rate on liquid stocks, forex majors, and crypto. Swing Trading (4h-1D): Lookback: 30-50 Smoothing: 3 Threshold: 90-95 Epsilon: 1.5-2.0 Note: Signals are rare but high conviction. Combine with higher timeframe trend analysis. Position Trading (1D-1W): Lookback: 50-100 Smoothing: 5-7 Threshold: 95 Epsilon: 2.0-3.0 Note: Extremely rare signals. Only trade the most extreme events. Expect massive moves. Market-Specific Settings: Forex (EUR/USD, GBP/USD, etc.): Volume data is unreliable (spot forex has no centralized volume) Disable "Require Volume Confirmation" Focus on momentum and trend filters News events create extreme singularities Best on 15m-1h timeframes Stocks (High-Volume Equities): Volume confirmation is CRITICAL - keep it ON Works excellently on AAPL, TSLA, SPY, etc. Morning session (9:30-11:00 ET) shows highest event density Earnings announcements create guaranteed extreme events Best on 5m-1h for day trading, 1D for swing trading Crypto (BTC, ETH, major alts): Reduce threshold to 85 (crypto has constant high volatility) Volume spikes are THE primary signal - keep volume confirmation ON Works exceptionally well due to 24/7 trading and high volatility Epsilon can be reduced to 0.7-0.8 for more signals Best on 15m-4h timeframes Commodities (Gold, Oil, etc.): Gold responds to macro events (Fed announcements, geopolitical events) Oil responds to supply shocks Use daily timeframe minimum Increase lookback to 50+ These are slow-moving markets - be patient Indices (SPX, NDX, etc.): Institutional volume matters - keep volume confirmation ON Opening hour (9:30-10:30 ET) = highest singularity probability Strong correlation with VIX - high VIX = more extreme events Best on 15m-1h for day trading WHAT MAKES THIS INDICATOR UNIQUE 1. Post-Normalization Sensitivity Control: Unlike most oscillators where sensitivity controls don't actually work (they're applied before normalization, which then rescales everything), FTS applies epsilon compression AFTER normalization. This means the sensitivity parameter genuinely affects signal frequency. This is a novel implementation not found in standard oscillators. 2. Multi-Factor Confluence Requirement: The indicator doesn't just detect "overbought" or "oversold" - it detects extreme conditions AND THEN analyzes context through five separate factors (price structure, momentum, trend, acceleration, volume). Most indicators are single-factor; FTS requires confluence. 3. Volatility-Weighted Normalization: By squaring the ATR ratio (local/global), the indicator adapts to changing market regimes. A 1% move in a low-volatility environment is treated differently than a 1% move in a high-volatility environment. Traditional indicators treat all moves equally regardless of context. 4. Volume Integration at the Core: Volume isn't an afterthought or optional filter - it's baked into the fundamental equation as "mass." The log transformation handles outliers elegantly while preserving significance. Most price-based indicators completely ignore volume. 5. Adaptive Scoring System: Rather than fixed buy/sell rules ("RSI >70 = sell"), FTS uses competitive scoring where bullish and bearish evidence compete. The winner determines direction. This solves the classic problem of "overbought markets can stay overbought during strong uptrends." 6. Comprehensive Visual Feedback: The multi-layer visualization system (accretion disk, field lines, particles, flashes) provides instant intuitive feedback on market state without requiring dashboard reading. You can see pressure building before extreme thresholds are hit. 7. Separate Extreme Detection and Signal Generation: "Singularity diamonds" show extreme events that don't meet full criteria, while "signal triangles" only appear when ALL conditions are met. This distinction helps traders understand when pressure exists versus when it's actionable. COMPARISON TO EXISTING INDICATORS vs. RSI/Stochastic: These normalize price relative to recent range. FTS normalizes (price change × log volume × volatility ratio) - a composite metric, not just price position. vs. Chaikin Money Flow: CMF combines price and volume but lacks volatility context and doesn't use adaptive normalization or post-normalization compression. vs. Bollinger Bands + Volume: Bollinger Bands show volatility but don't integrate volume or create a unified oscillator. They're separate components, not synthesized. vs. MACD: MACD is pure momentum. FTS combines momentum with volume weighting and volatility context, plus provides a normalized 0-100 scale. The specific combination of log-volume weighting, squared volatility amplification, post-normalization epsilon compression, and multi-factor directional scoring is unique to this indicator. LIMITATIONS AND PROPER DISCLOSURE Not a Holy Grail: No indicator is perfect. This tool identifies high-probability setups but cannot predict the future. Losses will occur. Use proper risk management. Requires Confirmation: Best used in conjunction with price action analysis, support/resistance levels, and higher timeframe trend. Don't trade signals blindly. Volume Data Dependency: On forex (spot) and some low-volume instruments, volume data is unreliable or tick-volume only. Disable volume confirmation in these cases. Lagging Components: The EMA smoothing and trend filters are inherently lagging. In extremely fast moves, signals may appear after the initial thrust. Extreme Event Rarity: With conservative settings (high threshold, high epsilon), signals can be rare. This is by design - quality over quantity. If you need more frequent signals, reduce threshold to 85 and epsilon to 0.7. Not Financial Advice: This indicator is an analytical tool. All trading decisions and their consequences are solely your responsibility. Past performance does not guarantee future results. BEST PRACTICES Don't trade every singularity - wait for context confirmation Higher timeframes = higher reliability Combine with support/resistance for entry refinement Volume confirmation is CRITICAL for stocks/crypto (toggle off only for forex) During major news events, singularities are inevitable but direction may be uncertain - use wider stops When bullish and bearish flux scores are close, skip the trade Test settings on your specific instrument/timeframe before live trading Use the dashboard actively - it contains critical diagnostic information Taking you to school. — Dskyz, Trade with insight. Trade with anticipation.
Penunjuk Pine Script®
oleh DskyzInvestments
920 Order Flow SATY ATR//@version=6 indicator("Order-Flow / Volume Signals (No L2)", overlay=true) //====================== // Inputs //====================== rvolLen = input.int(20, "Relative Volume Lookback", minval=5) rvolMin = input.float(1.1, "Min Relative Volume (× avg)", step=0.1) wrbLen = input.int(20, "Wide-Range Lookback", minval=5) wrbMult = input.float(1, "Wide-Range Multiplier", step=0.1) upperCloseQ = input.float(0.60, "Close near High (0-1)", minval=0.0, maxval=1.0) lowerCloseQ = input.float(0.40, "Close near Low (0-1)", minval=0.0, maxval=1.0) cdLen = input.int(25, "Rolling CumDelta Window", minval=5) useVWAP = input.bool(true, "Use VWAP Bias Filter") showSignals = input.bool(true, "Show Long/Short OF Triangles") //====================== // Core helpers //====================== rng = high - low tr = ta.tr(true) avgTR = ta.sma(tr, wrbLen) wrb = rng > wrbMult * avgTR // Relative Volume volAvg = ta.sma(volume, rvolLen) rvol = volAvg > 0 ? volume / volAvg : 0.0 // Close location in bar (0..1) clo = rng > 0 ? (close - low) / rng : 0.5 // VWAP (session) + SMAs vwap = ta.vwap(close) sma9 = ta.sma(close, 9) sma20 = ta.sma(close, 20) sma200= ta.sma(close, 200) // CumDelta proxy (uptick/downtick signed volume) tickSign = close > close ? 1.0 : close < close ? -1.0 : 0.0 delta = volume * tickSign cumDelta = ta.cum(delta) rollCD = cumDelta - cumDelta //====================== // Signal conditions //====================== volActive = rvol >= rvolMin effortBuy = wrb and clo >= upperCloseQ effortSell = wrb and clo <= lowerCloseQ cdUp = ta.crossover(rollCD, 0) cdDown = ta.crossunder(rollCD, 0) biasBuy = not useVWAP or close > vwap biasSell = not useVWAP or close < vwap longOF = barstate.isconfirmed and volActive and effortBuy and cdUp and biasBuy shortOF = barstate.isconfirmed and volActive and effortSell and cdDown and biasSell //====================== // Plot ONLY on price chart //====================== // SMAs & VWAP plot(sma9, title="9 SMA", color=color.orange, linewidth=3) plot(sma20, title="20 SMA", color=color.white, linewidth=3) plot(sma200, title="200 SMA", color=color.black, linewidth=3) plot(vwap, title="VWAP", color=color.new(color.aqua, 0), linewidth=3) // Triangles with const text (no extra pane) plotshape(showSignals and longOF, title="LONG OF", style=shape.triangleup, location=location.belowbar, size=size.tiny, color=color.new(color.green, 0), text="LONG OF") plotshape(showSignals and shortOF, title="SHORT OF", style=shape.triangledown, location=location.abovebar, size=size.tiny, color=color.new(color.red, 0), text="SHORT OF") // Alerts alertcondition(longOF, title="LONG OF confirmed", message="LONG OF confirmed") alertcondition(shortOF, title="SHORT OF confirmed", message="SHORT OF confirmed") //──────────────────────────── // End-of-line labels (offset to the right) //──────────────────────────── var label label9 = na var label label20 = na var label label200 = na var label labelVW = na if barstate.islast // delete old labels before drawing new ones label.delete(label9) label.delete(label20) label.delete(label200) label.delete(labelVW) // how far to move the labels rightward (increase if needed) offsetBars = input.int(3) label9 := label.new(bar_index + offsetBars, sma9, "9 SMA", style=label.style_label_left, textcolor=color.white, color=color.new(color.orange, 0)) label20 := label.new(bar_index + offsetBars, sma20, "20 SMA", style=label.style_label_left, textcolor=color.black, color=color.new(color.white, 0)) label200 := label.new(bar_index + offsetBars, sma200, "200 SMA", style=label.style_label_left, textcolor=color.white, color=color.new(color.black, 0)) labelVW := label.new(bar_index + offsetBars, vwap, "VWAP", style=label.style_label_left, textcolor=color.black, color=color.new(color.aqua, 0)) //──────────────────────────────────────────────────────────────────── //──────────────────────────────────────────── // Overnight High/Low + HOD/LOD (no POC) //──────────────────────────────────────────── sessionRTH = input.session("0930-1600", "RTH Session (exchange tz)") levelWidth = input.int(2, "HL line width", minval=1, maxval=5) labelOffsetH = input.int(10, "HL label offset (bars to right)", minval=0) isRTH = not na(time(timeframe.period, sessionRTH)) rthOpen = isRTH and not isRTH // --- Track Overnight High/Low during NON-RTH; freeze at RTH open // --- Track Overnight High/Low during NON-RTH; freeze at RTH open var float onHigh = na var float onLow = na var int onHighBar = na var int onLowBar = na var float onHighFix = na var float onLowFix = na var int onHighFixBar = na var int onLowFixBar = na if not isRTH if na(onHigh) or high > onHigh onHigh := high onHighBar := bar_index if na(onLow) or low < onLow onLow := low onLowBar := bar_index if rthOpen onHighFix := onHigh onLowFix := onLow onHighFixBar := onHighBar onLowFixBar := onLowBar onHigh := na, onLow := na onHighBar := na, onLowBar := na // ────────────────────────────────────────── // Candle coloring + labels for 9/20/VWAP crosses // ────────────────────────────────────────── showCrossLabels = input.bool(true, "Show cross labels") // Helpers minAll = math.min(math.min(sma9, sma20), vwap) maxAll = math.max(math.max(sma9, sma20), vwap) // All three lines goldenAll = open <= minAll and close >= maxAll deathAll = open >= maxAll and close <= minAll // 9/20 only (exclude cases that also crossed VWAP) dcUpOnly = open <= math.min(sma9, sma20) and close >= math.max(sma9, sma20) and not goldenAll dcDownOnly = open >= math.max(sma9, sma20) and close <= math.min(sma9, sma20) and not deathAll // Candle colors (priority: all three > 9/20 only) var color cCol = na cCol := goldenAll ? color.yellow : deathAll ? color.black :dcUpOnly ? color.lime :dcDownOnly ? color.red : na barcolor(cCol) // Labels plotshape(showCrossLabels and barstate.isconfirmed and goldenAll, title="GOLDEN CROSS", style=shape.labelup, location=location.belowbar, text="GOLDEN CROSS", color=color.new(color.yellow, 0), textcolor=color.black, size=size.tiny) plotshape(showCrossLabels and barstate.isconfirmed and deathAll, title="DEATH CROSS", style=shape.labeldown, location=location.abovebar, text="DEATH CROSS", color=color.new(color.black, 0), textcolor=color.white, size=size.tiny) plotshape(showCrossLabels and barstate.isconfirmed and dcUpOnly, title="DC UP", style=shape.labelup, location=location.belowbar, text="DC UP", color=color.new(color.lime, 0), textcolor=color.black, size=size.tiny) plotshape(showCrossLabels and barstate.isconfirmed and dcDownOnly, title="DC DOWN", style=shape.labeldown, location=location.abovebar, text="DC DOWN", color=color.new(color.red, 0), textcolor=color.white, size=size.tiny) // ────────────────────────────────────────── // Audible + alert conditions // ────────────────────────────────────────── alertcondition(goldenAll, title="GOLDEN CROSS", message="GOLDEN CROSS detected") alertcondition(deathAll, title="DEATH CROSS", message="DEATH CROSS detected") alertcondition(dcUpOnly, title="DC UP", message="Dual Cross UP detected") alertcondition(dcDownOnly,title="DC DOWN", message="Dual Cross DOWN detected")
Penunjuk Pine Script®
oleh jgriffin39nxy
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。
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