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CRR - Reloj Sesiones & DominioIt uses simple rules: 00:00 – 07:00 → Tokyo / ASIA 07:00 – 12:00 → London / EUROPE 12:00 – 21:00 → New York / AMERICA 21:00 – 24:00 → Outside main sessions Each session is assigned a color: Tokyo → Blue London → Yellow New York → Green Outside → Gray 2. Displays the current time in GMT format Example: 14:32 GMT 3. Minimalist on-screen display (HUD) The top center of the screen shows: Continent (ASIA / EUROPE / AMERICA) Which session is currently dominant (TOKYO / LONDON / NEW YORK) The GMT time All in a sleek table with dynamic colors based on the session. 🧠 In short: A smart clock that tells you which session is dominant, which continent you're in, and what time it is in GMT, with a nice on-screen HUD.
Penunjuk Pine Script®
oleh rivero8894
XAUUSD 1m SMC Zones (BOS + Flexible TP Modes + Trailing Runner)//@version=6 strategy("XAUUSD 1m SMC Zones (BOS + Flexible TP Modes + Trailing Runner)", overlay = true, initial_capital = 10000, pyramiding = 10, process_orders_on_close = true) //━━━━━━━━━━━━━━━━━━━ // 1. INPUTS //━━━━━━━━━━━━━━━━━━━ // TP / SL tp1Pips = input.int(10, "TP1 (pips)", minval = 1) fixedSLpips = input.int(50, "Fixed SL (pips)", minval = 5) runnerRR = input.float(3.0, "Runner RR (TP2 = SL * RR)", step = 0.1, minval = 1.0) // Daily risk maxDailyLossPct = input.float(5.0, "Max daily loss % (stop trading)", step = 0.5) maxDailyProfitPct = input.float(20.0, "Max daily profit % (stop trading)", step = 1.0) // HTF S/R (1H) htfTF = input.string("60", "HTF timeframe (minutes) for S/R block") // Profit strategy (Option C) profitStrategy = input.string("Minimal Risk | Full BE after TP1", "Profit Strategy", options = ) // Runner stop mode (your option 4) runnerStopMode = input.string( "BE only", "Runner Stop Mode", options = ) // ATR trail settings (only used if ATR mode selected) atrTrailLen = input.int(14, "ATR Length (trail)", minval = 1) atrTrailMult = input.float(1.0, "ATR Multiplier (trail)", step = 0.1, minval = 0.1) // Pip size (for XAUUSD: 1 pip = 0.10 if tick = 0.01) pipSize = syminfo.mintick * 10.0 tp1Points = tp1Pips * pipSize slPoints = fixedSLpips * pipSize baseQty = input.float (1.0, "Base order size" , step = 0.01, minval = 0.01) //━━━━━━━━━━━━━━━━━━━ // 2. DAILY RISK MANAGEMENT //━━━━━━━━━━━━━━━━━━━ isNewDay = ta.change(time("D")) != 0 var float dayStartEquity = na var bool dailyStopped = false equityNow = strategy.initial_capital + strategy.netprofit if isNewDay or na(dayStartEquity) dayStartEquity := equityNow dailyStopped := false dailyPnL = equityNow - dayStartEquity dailyPnLPct = dayStartEquity != 0 ? (dailyPnL / dayStartEquity) * 100.0 : 0.0 if not dailyStopped if dailyPnLPct <= -maxDailyLossPct dailyStopped := true if dailyPnLPct >= maxDailyProfitPct dailyStopped := true canTradeToday = not dailyStopped //━━━━━━━━━━━━━━━━━━━ // 3. 1H S/R ZONES (for direction block) //━━━━━━━━━━━━━━━━━━━ htOpen = request.security(syminfo.tickerid, htfTF, open) htHigh = request.security(syminfo.tickerid, htfTF, high) htLow = request.security(syminfo.tickerid, htfTF, low) htClose = request.security(syminfo.tickerid, htfTF, close) // Engulf logic on HTF htBullPrev = htClose > htOpen htBearPrev = htClose < htOpen htBearEngulf = htClose < htOpen and htBullPrev and htOpen >= htClose and htClose <= htOpen htBullEngulf = htClose > htOpen and htBearPrev and htOpen <= htClose and htClose >= htOpen // Liquidity sweep on HTF previous candle htSweepHigh = htHigh > ta.highest(htHigh, 5) htSweepLow = htLow < ta.lowest(htLow, 5) // Store last HTF zones var float htResHigh = na var float htResLow = na var float htSupHigh = na var float htSupLow = na if htBearEngulf and htSweepHigh htResHigh := htHigh htResLow := htLow if htBullEngulf and htSweepLow htSupHigh := htHigh htSupLow := htLow // Are we inside HTF zones? inHtfRes = not na(htResHigh) and close <= htResHigh and close >= htResLow inHtfSup = not na(htSupLow) and close >= htSupLow and close <= htSupHigh // Block direction against HTF zones longBlockedByZone = inHtfRes // no buys in HTF resistance shortBlockedByZone = inHtfSup // no sells in HTF support //━━━━━━━━━━━━━━━━━━━ // 4. 1m LOCAL ZONES (LIQUIDITY SWEEP + ENGULF + QUALITY SCORE) //━━━━━━━━━━━━━━━━━━━ // 1m engulf patterns bullPrev1 = close > open bearPrev1 = close < open bearEngulfNow = close < open and bullPrev1 and open >= close and close <= open bullEngulfNow = close > open and bearPrev1 and open <= close and close >= open // Liquidity sweep by previous candle on 1m sweepHighPrev = high > ta.highest(high, 5) sweepLowPrev = low < ta.lowest(low, 5) // Local zone storage (one active support + one active resistance) // Quality score: 1 = engulf only, 2 = engulf + sweep (we only trade ≥2) var float supLow = na var float supHigh = na var int supQ = 0 var bool supUsed = false var float resLow = na var float resHigh = na var int resQ = 0 var bool resUsed = false // New resistance zone: previous bullish candle -> bear engulf if bearEngulfNow resLow := low resHigh := high resQ := sweepHighPrev ? 2 : 1 resUsed := false // New support zone: previous bearish candle -> bull engulf if bullEngulfNow supLow := low supHigh := high supQ := sweepLowPrev ? 2 : 1 supUsed := false // Raw "inside zone" detection inSupRaw = not na(supLow) and close >= supLow and close <= supHigh inResRaw = not na(resHigh) and close <= resHigh and close >= resLow // QUALITY FILTER: only trade zones with quality ≥ 2 (engulf + sweep) highQualitySup = supQ >= 2 highQualityRes = resQ >= 2 inSupZone = inSupRaw and highQualitySup and not supUsed inResZone = inResRaw and highQualityRes and not resUsed // Plot zones plot(supLow, "Sup Low", color = color.new(color.lime, 60), style = plot.style_linebr) plot(supHigh, "Sup High", color = color.new(color.lime, 60), style = plot.style_linebr) plot(resLow, "Res Low", color = color.new(color.red, 60), style = plot.style_linebr) plot(resHigh, "Res High", color = color.new(color.red, 60), style = plot.style_linebr) //━━━━━━━━━━━━━━━━━━━ // 5. MODERATE BOS (3-BAR FRACTAL STRUCTURE) //━━━━━━━━━━━━━━━━━━━ // 3-bar swing highs/lows swHigh = high > high and high > high swLow = low < low and low < low var float lastSwingHigh = na var float lastSwingLow = na if swHigh lastSwingHigh := high if swLow lastSwingLow := low // BOS conditions bosUp = not na(lastSwingHigh) and close > lastSwingHigh bosDown = not na(lastSwingLow) and close < lastSwingLow // Zone “arming” and BOS validation var bool supArmed = false var bool resArmed = false var bool supBosOK = false var bool resBosOK = false // Arm zones when first touched if inSupZone supArmed := true if inResZone resArmed := true // BOS after arming → zone becomes valid for entries if supArmed and bosUp supBosOK := true if resArmed and bosDown resBosOK := true // Reset BOS flags when new zones are created if bullEngulfNow supArmed := false supBosOK := false if bearEngulfNow resArmed := false resBosOK := false //━━━━━━━━━━━━━━━━━━━ // 6. ENTRY CONDITIONS (ZONE + BOS + RISK STATE) //━━━━━━━━━━━━━━━━━━━ flatOrShort = strategy.position_size <= 0 flatOrLong = strategy.position_size >= 0 longSignal = canTradeToday and not longBlockedByZone and inSupZone and supBosOK and flatOrShort shortSignal = canTradeToday and not shortBlockedByZone and inResZone and resBosOK and flatOrLong //━━━━━━━━━━━━━━━━━━━ // 7. ORDER LOGIC – TWO PROFIT STRATEGIES //━━━━━━━━━━━━━━━━━━━ // Common metrics atrTrail = ta.atr(atrTrailLen) // MINIMAL MODE: single trade, BE after TP1, optional trailing // HYBRID MODE: two trades (Scalp @ TP1, Runner @ TP2) // Persistent tracking var float longEntry = na var float longTP1 = na var float longTP2 = na var float longSL = na var bool longBE = false var float longRunEntry = na var float longRunTP1 = na var float longRunTP2 = na var float longRunSL = na var bool longRunBE = false var float shortEntry = na var float shortTP1 = na var float shortTP2 = na var float shortSL = na var bool shortBE = false var float shortRunEntry = na var float shortRunTP1 = na var float shortRunTP2 = na var float shortRunSL = na var bool shortRunBE = false isMinimal = profitStrategy == "Minimal Risk | Full BE after TP1" isHybrid = profitStrategy == "Hybrid | Scalp TP + Runner TP" //━━━━━━━━━━ LONG ENTRIES ━━━━━━━━━━ if longSignal if isMinimal longEntry := close longSL := longEntry - slPoints longTP1 := longEntry + tp1Points longTP2 := longEntry + slPoints * runnerRR longBE := false strategy.entry("Long", strategy.long) supUsed := true supArmed := false supBosOK := false else if isHybrid longRunEntry := close longRunSL := longRunEntry - slPoints longRunTP1 := longRunEntry + tp1Points longRunTP2 := longRunEntry + slPoints * runnerRR longRunBE := false // Two separate entries, each 50% of baseQty (for backtest) strategy.entry("LongScalp", strategy.long, qty = baseQty * 0.5) strategy.entry("LongRun", strategy.long, qty = baseQty * 0.5) supUsed := true supArmed := false supBosOK := false //━━━━━━━━━━ SHORT ENTRIES ━━━━━━━━━━ if shortSignal if isMinimal shortEntry := close shortSL := shortEntry + slPoints shortTP1 := shortEntry - tp1Points shortTP2 := shortEntry - slPoints * runnerRR shortBE := false strategy.entry("Short", strategy.short) resUsed := true resArmed := false resBosOK := false else if isHybrid shortRunEntry := close shortRunSL := shortRunEntry + slPoints shortRunTP1 := shortRunEntry - tp1Points shortRunTP2 := shortRunEntry - slPoints * runnerRR shortRunBE := false strategy.entry("ShortScalp", strategy.short, qty = baseQty * 50) strategy.entry("ShortRun", strategy.short, qty = baseQty * 50) resUsed := true resArmed := false resBosOK := false //━━━━━━━━━━━━━━━━━━━ // 8. EXIT LOGIC – MINIMAL MODE //━━━━━━━━━━━━━━━━━━━ // LONG – Minimal Risk: 1 trade, BE after TP1, runner to TP2 if isMinimal and strategy.position_size > 0 and not na(longEntry) // Move to BE once TP1 is touched if not longBE and high >= longTP1 longBE := true // Base SL: BE or initial SL float dynLongSL = longBE ? longEntry : longSL // Optional trailing after BE if longBE if runnerStopMode == "Structure trail" and not na(lastSwingLow) and lastSwingLow > longEntry dynLongSL := math.max(dynLongSL, lastSwingLow) if runnerStopMode == "ATR trail" trailSL = close - atrTrailMult * atrTrail dynLongSL := math.max(dynLongSL, trailSL) strategy.exit("Long Exit", "Long", stop = dynLongSL, limit = longTP2) // SHORT – Minimal Risk: 1 trade, BE after TP1, runner to TP2 if isMinimal and strategy.position_size < 0 and not na(shortEntry) if not shortBE and low <= shortTP1 shortBE := true float dynShortSL = shortBE ? shortEntry : shortSL if shortBE if runnerStopMode == "Structure trail" and not na(lastSwingHigh) and lastSwingHigh < shortEntry dynShortSL := math.min(dynShortSL, lastSwingHigh) if runnerStopMode == "ATR trail" trailSLs = close + atrTrailMult * atrTrail dynShortSL := math.min(dynShortSL, trailSLs) strategy.exit("Short Exit", "Short", stop = dynShortSL, limit = shortTP2) //━━━━━━━━━━━━━━━━━━━ // 9. EXIT LOGIC – HYBRID MODE //━━━━━━━━━━━━━━━━━━━ // LONG – Hybrid: Scalp + Runner if isHybrid // Scalp leg: full TP at TP1 if strategy.opentrades > 0 strategy.exit("LScalp TP", "LongScalp", stop = longRunSL, limit = longRunTP1) // Runner leg if strategy.position_size > 0 and not na(longRunEntry) if not longRunBE and high >= longRunTP1 longRunBE := true float dynLongRunSL = longRunBE ? longRunEntry : longRunSL if longRunBE if runnerStopMode == "Structure trail" and not na(lastSwingLow) and lastSwingLow > longRunEntry dynLongRunSL := math.max(dynLongRunSL, lastSwingLow) if runnerStopMode == "ATR trail" trailRunSL = close - atrTrailMult * atrTrail dynLongRunSL := math.max(dynLongRunSL, trailRunSL) strategy.exit("LRun TP", "LongRun", stop = dynLongRunSL, limit = longRunTP2) // SHORT – Hybrid: Scalp + Runner if isHybrid if strategy.opentrades > 0 strategy.exit("SScalp TP", "ShortScalp", stop = shortRunSL, limit = shortRunTP1) if strategy.position_size < 0 and not na(shortRunEntry) if not shortRunBE and low <= shortRunTP1 shortRunBE := true float dynShortRunSL = shortRunBE ? shortRunEntry : shortRunSL if shortRunBE if runnerStopMode == "Structure trail" and not na(lastSwingHigh) and lastSwingHigh < shortRunEntry dynShortRunSL := math.min(dynShortRunSL, lastSwingHigh) if runnerStopMode == "ATR trail" trailRunSLs = close + atrTrailMult * atrTrail dynShortRunSL := math.min(dynShortRunSL, trailRunSLs) strategy.exit("SRun TP", "ShortRun", stop = dynShortRunSL, limit = shortRunTP2) //━━━━━━━━━━━━━━━━━━━ // 10. RESET STATE WHEN FLAT //━━━━━━━━━━━━━━━━━━━ if strategy.position_size == 0 longEntry := na shortEntry := na longBE := false shortBE := false longRunEntry := na shortRunEntry := na longRunBE := false shortRunBE := false //━━━━━━━━━━━━━━━━━━━ // 11. VISUAL ENTRY MARKERS //━━━━━━━━━━━━━━━━━━━ plotshape(longSignal, title = "Long Signal", style = shape.triangleup, location = location.belowbar, color = color.lime, size = size.tiny, text = "L") plotshape(shortSignal, title = "Short Signal", style = shape.triangledown, location = location.abovebar, color = color.red, size = size.tiny, text = "S")
Strategi Pine Script®
oleh amart24
Setup Keltner Banda 3 e 5 - MMS + RSI + Distância Tabela 📊 Indicator Overview: Keltner Bands + RSI + Distance Table This custom TradingView indicator combines three powerful tools into a single, visually intuitive setup: Keltner Channels (Bands 3x and 5x ATR) Relative Strength Index (RSI) Dynamic Table Displaying RSI and Price Distance from Moving Average (MMS) 🔧 Components and Functions 1. Keltner Channels (3x and 5x ATR) Based on a Simple Moving Average (MMS) and Average True Range (ATR). Two sets of bands are plotted: 3x ATR Bands: Used for moderate volatility signals. 5x ATR Bands: Used for high volatility extremes. Visual fills between bands help identify overextended price zones. 2. RSI (Relative Strength Index) Measures momentum and potential reversal zones. Customizable overbought (default 70) and oversold (default 30) levels. RSI values are color-coded in the table: Green for RSI ≤ 30 (oversold) Blue for 30 < RSI ≤ 70 (neutral) Red for RSI > 70 (overbought) 3. Distance Table (Price vs. MMS) Displays the real-time distance between the current price and the MMS: In points (absolute difference) In percentage (relative to MMS) Helps traders assess how far price has deviated from its mean. 📈 How to Use Trend Reversal Signals Look for price crossing back inside the 3x or 5x Keltner Bands. Confirm with RSI: RSI > 70 + price re-entering from above = potential short RSI < 30 + price re-entering from below = potential long Volatility Zones Price outside the 5x band indicates extreme movement. Use this to anticipate mean reversion or breakout continuation. Table Insights Monitor RSI and price distance in real time. Use color cues to quickly assess momentum and stretch. ⚙️ Customization Adjustable parameters for: MMS period ATR multipliers RSI period and thresholds Table position on chart Fill colors between bands This indicator is ideal for traders who want a clean, data-rich visual tool to track volatility, momentum, and price deviation in one place.
Penunjuk Pine Script®
oleh rodrigodearantes
六脉齐发多空策略六脉齐发多空策略 # Six Meridians Unified Long/Short Strategy ## Overview The "Six Meridians Unified Long/Short Strategy" is a comprehensive quantitative trading strategy built on TradingView Pine Script v6, designed for cross-asset long/short trading (stocks, cryptocurrencies, futures, forex, etc.). It leverages the resonance of **6 classic technical indicators** to filter high-confidence trading signals, reducing false signals caused by single-indicator bias and improving the reliability of entry/exit decisions. ## Core Indicators (6 "Meridians") The strategy evaluates bullish/bearish trends by calculating 6 key technical indicators, with a "bullish count" system to quantify trend strength: | Indicator | Calculation Parameters | Bullish Condition | Bearish Condition | |-------------------------|------------------------------|--------------------------------------------|--------------------------------------------| | MACD | Fast=12, Slow=26, Signal=9 | MACD line crosses above Signal line | MACD line crosses below Signal line | | KDJ (Stochastic Oscillator) | Length=14, SmoothK=3, SmoothD=3 | K line > D line | K line < D line | | RSI (Relative Strength Index) | Short=6, Long=12 | Short-period RSI (6) > Long-period RSI (12) | Short-period RSI (6) < Long-period RSI (12) | | LWR (Modified Williams %R) | Length=14, Smooth=6 | LWR1 (WMA-smooth) > LWR2 (6-period WMA) | LWR1 < LWR2 | | BBI (Bollinger Band Index) | EMA(3)+EMA(6)+EMA(12)+EMA(24) /4 | Close price > BBI line | Close price < BBI line | | MTM (Momentum) | Period=12, MMS=6, MMM=14 | Short momentum line (MMS) > Long momentum line (MMM) | Short momentum line (MMS) < Long momentum line (MMM) | ## Trading Logic The strategy uses a "count-based" trigger mechanism to execute position management (no pyramiding allowed): ### Long Position Rules 1. **Entry**: Open long position only when all 6 indicators show bullish signals (`bullCount = 6`). 2. **Partial Exit**: Reduce 50% of long position when 4 indicators remain bullish (`bullCount = 4`). 3. **Full Exit**: Close all long positions when ≤3 indicators are bullish (`bullCount ≤ 3`). ### Short Position Rules 1. **Entry**: Open short position only when all 6 indicators show bearish signals (`bearCount = 6`). 2. **Partial Exit**: Cover 50% of short position when 4 indicators remain bearish (`bearCount = 4`). 3. **Full Exit**: Close all short positions when ≤3 indicators are bearish (`bearCount ≤ 3`). ## Strategy Parameters (Risk & Capital Management) | Parameter | Value | Description | |--------------------------|----------------|----------------------------------------------| | Initial Capital | $100,000 | Starting equity for backtesting | | Default Order Size | $10,000 (cash) | Fixed cash amount per trade (instead of lots) | | Commission | 0.1% per trade | Realistic transaction cost (percent-based) | | Margin Requirement | 100% | No leverage (1:1 trading) | | Pyramiding | 0 | No additional positions on existing trades | ## Key Features 1. **Multi-Indicator Resonance**: Eliminates noise from single-indicator false signals by requiring consensus across 6 diverse technical metrics. 2. **Gradual Position Management**: Partial exit (50%) before full closure to lock in profits and reduce downside risk. 3. **Full Automation**: Automatically executes entry/exit/position adjustment without manual intervention. 4. **Visualization Tools**: Plots BBI line, long/short signal labels, and bullish indicator count for easy strategy monitoring. 5. **Versatility**: Adaptable to multiple timeframes (15min, 1H, 4H, daily) and asset classes. ## Notes - The strategy is optimized for trend-following markets and may underperform in choppy/range-bound conditions. - Backtest results should be validated across different market cycles (bull, bear, sideways) before live trading. - Parameters (e.g., indicator periods, order size) can be adjusted based on specific asset volatility and trading style.
Strategi Pine Script®
oleh ms023999
猛の掟・初動スクリーナー_完成版//@version=5 indicator("猛の掟・初動スクリーナー_完成版", overlay=true) // ============================= // 入力パラメータ // ============================= emaLenShort = input.int(5, "短期EMA", minval=1) emaLenMid = input.int(13, "中期EMA", minval=1) emaLenLong = input.int(26, "長期EMA", minval=1) macdFastLen = input.int(12, "MACD Fast", minval=1) macdSlowLen = input.int(26, "MACD Slow", minval=1) macdSignalLen = input.int(9, "MACD Signal", minval=1) macdZeroTh = input.float(0.2, "MACDゼロライン近辺とみなす許容値", step=0.05) volMaLen = input.int(5, "出来高平均日数", minval=1) volMinRatio = input.float(1.3, "出来高倍率(初動判定しきい値)", step=0.1) volStrongRatio = input.float(1.5, "出来高倍率(本物/三点シグナル用)", step=0.1) highLookback = input.int(60, "直近高値の参照本数", minval=10) pullbackMin = input.float(5.0, "押し目最小 ", step=0.5) pullbackMax = input.float(15.0, "押し目最大 ", step=0.5) breakLookback = input.int(15, "レジブレ後とみなす本数", minval=1) wickBodyMult = input.float(2.0, "ピンバー:下ヒゲが実体の何倍以上か", step=0.5) // ★ シグナル表示 ON/OFF showMou = input.bool(true, "猛シグナルを表示") showKaku = input.bool(true, "確シグナルを表示") // ============================= // 基本指標計算 // ============================= emaShort = ta.ema(close, emaLenShort) emaMid = ta.ema(close, emaLenMid) emaLong = ta.ema(close, emaLenLong) = ta.macd(close, macdFastLen, macdSlowLen, macdSignalLen) volMa = ta.sma(volume, volMaLen) volRatio = volMa > 0 ? volume / volMa : 0.0 recentHigh = ta.highest(high, highLookback) prevHigh = ta.highest(high , highLookback) pullbackPct = recentHigh > 0 ? (recentHigh - close) / recentHigh * 100.0 : 0.0 // ローソク足 body = math.abs(close - open) upperWick = high - math.max(open, close) lowerWick = math.min(open, close) - low // ============================= // A：トレンド条件 // ============================= emaUp = emaShort > emaShort and emaMid > emaMid and emaLong > emaLong goldenOrder = emaShort > emaMid and emaMid > emaLong aboveEma2 = close > emaLong and close > emaLong trendOK = emaUp and goldenOrder and aboveEma2 // ============================= // B：MACD条件 // ============================= macdGC = ta.crossover(macdLine, macdSignal) macdNearZero = math.abs(macdLine) <= macdZeroTh macdUp = macdLine > macdLine macdOK = macdGC and macdNearZero and macdUp // ============================= // C：出来高条件 // ============================= volInitOK = volRatio >= volMinRatio // 8条件用 volStrongOK = volRatio >= volStrongRatio // 三点シグナル用 volumeOK = volInitOK // ============================= // D：ローソク足パターン // ============================= isBullPinbar = lowerWick > wickBodyMult * body and lowerWick > upperWick and close >= open isBullEngulf = close > open and open < close and close > open isBigBullCross = close > emaShort and close > emaMid and open < emaShort and open < emaMid and close > open candleOK = isBullPinbar or isBullEngulf or isBigBullCross // ============================= // E：価格帯（押し目＆レジブレ） // ============================= pullbackOK = pullbackPct >= pullbackMin and pullbackPct <= pullbackMax isBreakout = close > prevHigh and close <= prevHigh barsSinceBreak = ta.barssince(isBreakout) afterBreakZone = barsSinceBreak >= 0 and barsSinceBreak <= breakLookback afterBreakPullbackOK = afterBreakZone and pullbackOK and close > emaShort priceOK = pullbackOK and afterBreakPullbackOK // ============================= // 8条件の統合 // ============================= allRulesOK = trendOK and macdOK and volumeOK and candleOK and priceOK // ============================= // 最終三点シグナル // ============================= longLowerWick = lowerWick > wickBodyMult * body and lowerWick > upperWick macdGCAboveZero = ta.crossover(macdLine, macdSignal) and macdLine > 0 volumeSpike = volStrongOK finalThreeSignal = longLowerWick and macdGCAboveZero and volumeSpike buyConfirmed = allRulesOK and finalThreeSignal // ============================= // 描画 // ============================= plot(emaShort, color=color.new(color.yellow, 0), title="EMA 短期(5)") plot(emaMid, color=color.new(color.orange, 0), title="EMA 中期(13)") plot(emaLong, color=color.new(color.blue, 0), title="EMA 長期(26)") // シグナル表示（ON/OFF付き） plotshape(showMou and allRulesOK, title="猛の掟 8条件クリア候補", location=location.belowbar, color=color.new(color.lime, 0), text="猛") plotshape(showKaku and buyConfirmed, title="猛の掟 最終三点シグナル確定", location=location.belowbar, color=color.new(color.yellow, 0), text="確") // ============================= // アラート条件 // ============================= alertcondition(allRulesOK, title="猛の掟 8条件クリア候補", message="猛の掟 8条件クリア候補シグナル発生") alertcondition(buyConfirmed, title="猛の掟 最終三点シグナル確定", message="猛の掟 最終三点シグナル＝買い確定")
Penunjuk Pine Script®
oleh morishima0ut6b
Short Squeeze Screener _ SYLGUYO//@version=5 indicator("Short Squeeze Screener — Lookup Table", overlay=false) // =========================== // TABLEAU INTERNE DES DONNÉES // =========================== // Exemple : remplace par tes données réelles var string tickers = array.from("MARA", "BBBYQ", "GME") var float short_float_data = array.from(28.5, 47.0, 22.3) var float dtc_data = array.from(2.3, 15.2, 5.4) var float oi_growth_data = array.from(12.0, 22.0, 4.0) var float pcr_data = array.from(0.75, 0.45, 1.1) // =========================== // CHARGEMENT DU TICKER COURANT // =========================== string t = syminfo.ticker var float short_f = na var float dtc = na var float oi = na var float pcr = na // Trouve le ticker dans la base for i = 0 to array.size(tickers) - 1 if array.get(tickers, i) == t short_f := array.get(short_float_data, i) dtc := array.get(dtc_data, i) oi := array.get(oi_growth_data, i) pcr := array.get(pcr_data, i) // =========================== // SCORE SHORT SQUEEZE // =========================== score = 0 score += (short_f >= 30) ? 1 : 0 score += (dtc >= 7) ? 1 : 0 score += (oi >= 10) ? 1 : 0 score += (pcr <= 1) ? 1 : 0 plot(score, "Short Squeeze Score", linewidth=2)
Penunjuk Pine Script®
oleh sylvain_guyomarch
BTC vs Russell2000Description The BTC vs Russell2000 – Weekly Cycle Map compares Bitcoin’s performance against the Russell 2000 (IWM) to identify long-term risk-on and risk-off market regimes. The indicator calculates the BTC/RUT ratio on a weekly timeframe and applies a moving average filter to highlight macro momentum shifts. White line: BTC/RUT ratio (Bitcoin relative strength vs small-cap equities) Yellow line: Weekly SMA of the ratio (trend filter) Green background: BTC outperforming → macro bull regime Red background: Russell 2000 outperforming → macro bear regime Halving markers: Visual reference points for Bitcoin market cycles This tool is designed to help traders understand capital rotation between crypto and traditional markets, improve timing of macro entries, and visualize where Bitcoin stands within its broader cycle.
Penunjuk Pine Script®
oleh zeche13
CRR - Entry SIN RETROUse in 1 minute: EMA 15, 30, 200 → strong trend. VWAP → institutional fair price. RSI (8) → strength (Bull > 60, Bear < 40). MACD → momentum direction. Volume vs. average → ensure sufficient liquidity. FVG (optional) → liquidity gap in your favor. 2️⃣ Signals WITHOUT PULLBACK BUY WITHOUT PULLBACK when: EMA15 > EMA30 > EMA200 (strong bullish trend) MACD bullish, RSI > 60 High volume Price above EMA15 and VWAP (Optional) Bullish FVG in your favor SELL WITHOUT PULLBACK when everything above is reversed (bearish). Generate alerts: CRR BUY 1m WITHOUT PULLBACK CRR SELL 1m WITHOUT PULLBACK 3️⃣ Single-line HUD When a signal appears, everything is automatically set up: DIR: BUY / SELL / — ENTRY: entry price SL: 1× ATR TP1, TP2, TP3: 1×, 2×, and 3× ATR Everything is displayed in a compact HUD (configurable position). 🧠 In simple terms: It's your engine for quick entries in 1M when the market is moving at full speed, without pullbacks, with everything filtered by trend, strength, volume, and FVG, and it provides you with the ENTRY–SL–TPs ready to go.
Penunjuk Pine Script®
oleh rivero8894
ATR% Multiple from MA (with QQQ Reference)ATR% Multiple from MA (with QQQ Reference) This indicator measures how extended a stock's price is from its moving average, normalized by volatility (ATR). It's useful for identifying overbought/oversold conditions and timing profit-taking. How it works: ATR% = ATR / Current Price (volatility as % of price) % Gain From MA = How far price is from the moving average ATR% Multiple From MA = % Gain From MA ÷ ATR% Features: Displays ATR% Multiple for the current symbol Adds QQQ ATR% Multiple as a market benchmark reference Shows % Gain From MA and ATR % for additional context Customizable MA type (SMA, EMA, WMA, VWMA) and lengths Usage: Values of 7-10+ suggest taking partial profits (price is extended) Negative values suggest oversold conditions Compare your stock's extension to QQQ to gauge relative strength Inspired by jfsrev's original ATR% Multiple from 50-MA concept, with added QQQ market reference:
Penunjuk Pine Script®
oleh lukelwang
Rating for each momentMoment Score Labels is a Pine v5 overlay indicator that shows momentum “ratings” (0–100) directly on the chart. It prints a vertical score label on every candle (rolling window to avoid label limits) and adds vertical SETUP/ENTRY/EXIT markers for both long and short signals. Signals are based on a weighted mix of trend (MA alignment + slope), momentum (RSI + MACD histogram), breakout (Donchian high/low), and volatility contraction, with an optional Daily regime filter and optional volume/breakout confirmations.
Penunjuk Pine Script®
oleh semion_polinov
Execution Heatmap v8 — Classic Blocks (Final Logic)This indicator visualizes real-time market context through a structured execution heatmap, representing multiple analytic dimensions in a compact on-chart panel. Designed for traders who rely on confluence-based decision making, it tracks the shifting behavior of price, volume, and structural regimes to help identify momentum shifts, exhaustion points, and directional conviction. 🔶 Overview The Execution Heatmap v8 consolidates key elements from trend, volume, and momentum analysis into a single panel. Each row represents a core component of the execution model, colored dynamically to reflect bullish, bearish, neutral, or mixed states. The final block produces a BUY, SELL, or SELL-ALERT classification — fully aligned with the internal logic of the GOLDMASTER‑HUD framework. 🔸 Core Logic Components VWAP Direction: Detects price bias relative to VWAP (overextended, below value, or neutral). Impulse Engine: Evaluates momentum using RSI and MFI thresholds to determine directional energy. Volume Surge: Highlights aggressive volume imbalances and determines the dominant side (bull or bear). Fake Break Detection: Identifies false breakouts at recent swing extremes to flag potential reversals. Regime Filter: Measures underlying trend structure using dual‑EMA alignment (20/50 EMA). Pattern Recognition: Detects emerging HL (higher low) or LH (lower high) structures. Structure Strength: Maps strong vs. weak structural phases based on regime and pattern alignment. Final Signal Engine: Synthesizes all modules into actionable classifications: BUY: Price structure supports trend continuation. SELL‑ALERT: Early weakness or exhaustion detected within a strong up‑trend. SELL: Confirmed reversal alignment (momentum, VWAP, volume, and structure all bearish). WAIT: Caution when conditions remain inconclusive. 🟩🟥 Color‑Coded Heat Blocks Each metric is represented as a colored cell: Green: Bullish / upward bias Red: Bearish / downward bias Yellow: Neutral / weak / mixed Dark gray: Undefined or transitional ⚙️ Customization Adjustable panel position (bottom‑right, bottom‑left, top‑right, top‑left). Non‑intrusive table layout optimized for overlaying on active charts. Lightweight execution with minimal resource load, ideal for intraday use.
Penunjuk Pine Script®
oleh chyg8823
Time-based levelsScript to plot time-based levels such as yearly/quarterly/monthly/Monday open, Monday range, previous month/week/day range. This script does NOT handle sessions, therefore it's better suited for crypto which is 24/7. There are various display options. - Monday open is displayed immediately, but Monday High / Low / Mid 50% are displayed from Tuesday (i.e. when Monday closes and H/L are set for good) This behaviour can be overridden using the appropriate option within the indicator's inputs parameters - Levels are time-frame dependant (for instance, a daily level such as "Monday open" only shows on D1 TF and lower TF) - To avoid redundancies: * Yearly open is not displayed on January (redundant with monthly open) * Quarterly open is not displayed on January, April, July and October (redundant with monthly open), neither on Feb. and March (redundant with yearly open) * Previous day High / Low / Mid 50% are not displayed on Tuesday (redundant with Monday open / High / Low / Mid 50%) * Daily open is not displayed on Monday (redundant with Monday open) - Alerts can be created when prices crosses levels such as yearly/quarterly/monthly/Monday open, Monday range, previous month/week/day range Known issue (TradingView ticket opened as issue is on their side): On the W1 TF, if the current week spans over 2 months, the monthly open will be incorrect and still use the previous month open instead. Once the week closes, the monthly open will be displayed correctly. This issue is not present on other TF. Example: on Feb. 2nd 2023, when W1 TF is selected, monthly open shows January open instead of February open.
Penunjuk Pine Script®
oleh Smoy
Borna's ZonesBorna's Zones marks two important time-based zones on the chart: the 08:00 zone and the 09:00 zone. The 08:00 zone identifies initial liquidity. This zone sets the range where early market participants create significant activity. The 09:00 zone serves as a reference for confirmation. After 09:00, the indicator helps you identify whether the 08:00 zone should be considered cleared. Both zones are automatically extended until 11:00, providing clear visual references for potential market reactions. No trading is recommended after 11:00, as the early morning zones lose relevance. This indicator is useful for traders who focus on pre-market and early session liquidity, helping to visualize key levels where price may react.
Penunjuk Pine Script®
oleh Borna_trading
Relative Strength Line by QuantxThe Relative Strength Line compares the price performance of a stock against a benchmark index (e.g., NIFTY, S&P 500, Bank Nifty, etc.). It does not indicate momentum of the stock itself — it indicates whether the stock is outperforming or underperforming the market. 🔍 How To Read It RSL Behavior Meaning RSL moving up Stock is outperforming the benchmark (strong leadership) RSL moving down Stock is underperforming the benchmark (weakness vs market) RSL breaking above previous highs Strong institutional demand, leadership candidate RSL trending sideways Stock is performing similar to the index (no leadership) 📈 Why It Matters Institutional traders and top-performing strategies focus on stocks showing relative strength BEFORE price breakout. A stock making new RSL highs even before a price breakout often becomes a top performer in the coming trend. 🧠 Core Trading Edge You don’t need to predict the market. Just identify which stocks are being accumulated and leading the market right now — that’s what the Relative Strength Line reveals.
Penunjuk Pine Script®
oleh QuantsTrades
VV Moving Average Convergence Divergence # VMACDv3 - Volume-Weighted MACD with A/D Divergence Detection ## Overview **VMACDv3** (Volume-Weighted Moving Average Convergence Divergence Version 3) is a momentum indicator that applies volume-weighting to traditional MACD calculations on price, while using the Accumulation/Distribution (A/D) line for divergence detection. This hybrid approach combines volume-weighted price momentum with volume distribution analysis for comprehensive market insight. ## Key Features - **Volume-Weighted Price MACD**: Traditional MACD calculation on price but weighted by volume for earlier signals - **A/D Divergence Detection**: Identifies when A/D trend diverges from MACD momentum - **Volume Strength Filtering**: Distinguishes high-volume confirmations from low-volume noise - **Color-Coded Histogram**: 4-color system showing momentum direction and volume strength - **Real-Time Alerts**: Background colors and alert conditions for bullish/bearish divergences ## Difference from ACCDv3 | Aspect | VMACDv3 | ACCDv3 | |--------|---------|---------| | **MACD Input** | **Price (Close)** | **A/D Line** | | **Volume Weighting** | Applied to price | Applied to A/D line | | **Primary Signal** | Volume-weighted price momentum | Volume distribution momentum | | **Use Case** | Price momentum with volume confirmation | Volume flow and accumulation/distribution | | **Sensitivity** | More responsive to price changes | More responsive to volume patterns | | **Best For** | Trend following, breakouts | Volume analysis, smart money tracking | **Key Insight**: VMACDv3 shows *where price is going* with volume weight, while ACCDv3 shows *where volume is accumulating/distributing*. ## Components ### 1. Volume-Weighted MACD on Price Unlike standard MACD that uses simple price EMAs, VMACDv3 weights each price by its corresponding volume: ``` Fast Line = EMA(Price × Volume, 12) / EMA(Volume, 12) Slow Line = EMA(Price × Volume, 26) / EMA(Volume, 26) MACD = Fast Line - Slow Line ``` **Benefits of Volume Weighting**: - High-volume price movements have greater impact - Filters out low-volume noise and false moves - Provides earlier trend change signals - Better reflects institutional activity ### 2. Accumulation/Distribution (A/D) Line Used for divergence detection, measuring buying/selling pressure: ``` A/D = Σ ((2 × Close - Low - High) / (High - Low)) × Volume ``` - **Rising A/D**: Accumulation (buying pressure) - **Falling A/D**: Distribution (selling pressure) - **Doji Handling**: When High = Low, contribution is zero ### 3. Signal Lines - **MACD Line** (Blue, #2962FF): The fast-slow difference showing momentum - **Signal Line** (Orange, #FF6D00): EMA or SMA smoothing of MACD - **Zero Line**: Reference for bullish (above) vs bearish (below) bias ### 4. Histogram Color System The histogram uses 4 distinct colors based on **direction** and **volume strength**: | Condition | Color | Meaning | |-----------|-------|---------| | Rising + High Volume | **Dark Green** (#1B5E20) | Strong bullish momentum with volume confirmation | | Rising + Low Volume | **Light Teal** (#26A69A) | Bullish momentum but weak volume (less reliable) | | Falling + High Volume | **Dark Red** (#B71C1C) | Strong bearish momentum with volume confirmation | | Falling + Low Volume | **Light Pink** (#FFCDD2) | Bearish momentum but weak volume (less reliable) | Additional shading: - **Light Cyan** (#B2DFDB): Positive but not rising (momentum stalling) - **Bright Red** (#FF5252): Negative and accelerating down ### 5. Divergence Detection VMACDv3 compares A/D trend against volume-weighted price MACD: #### Bullish Divergence (Green Background) - **Condition**: A/D is trending up BUT MACD is negative and trending down - **Interpretation**: Volume is accumulating while price momentum appears weak - **Signal**: Smart money accumulation, potential bullish reversal - **Action**: Look for long entries, especially at support levels #### Bearish Divergence (Red Background) - **Condition**: A/D is trending down BUT MACD is positive and trending up - **Interpretation**: Volume is distributing while price momentum appears strong - **Signal**: Smart money distribution, potential bearish reversal - **Action**: Consider exits, avoid new longs, watch for breakdown ## Parameters | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | **Source** | Close | OHLC/HLC3/etc | Price source for MACD calculation | | **Fast Length** | 12 | 1-50 | Period for fast EMA (shorter = more sensitive) | | **Slow Length** | 26 | 1-100 | Period for slow EMA (longer = smoother) | | **Signal Smoothing** | 9 | 1-50 | Period for signal line (MACD smoothing) | | **Signal Line MA Type** | EMA | SMA/EMA | Moving average type for signal calculation | | **Volume MA Length** | 20 | 5-100 | Period for volume average (strength filter) | ## Usage Guide ### Reading the Indicator 1. **MACD Lines (Blue & Orange)** - **Blue Line (MACD)**: Volume-weighted price momentum - **Orange Line (Signal)**: Smoothed trend of MACD - **Crossovers**: Blue crosses above orange = bullish, below = bearish - **Distance**: Wider gap = stronger momentum - **Zero Line Position**: Above = bullish bias, below = bearish bias 2. **Histogram Colors** - **Dark Green (#1B5E20)**: Strong bullish move with high volume - **most reliable buy signal** - **Light Teal (#26A69A)**: Bullish but low volume - wait for confirmation - **Dark Red (#B71C1C)**: Strong bearish move with high volume - **most reliable sell signal** - **Light Pink (#FFCDD2)**: Bearish but low volume - may be temporary dip 3. **Background Divergence Alerts** - **Green Background**: A/D accumulating while price weak - potential bottom - **Red Background**: A/D distributing while price strong - potential top - Most powerful at key support/resistance levels ### Trading Strategies #### Strategy 1: Volume-Confirmed Trend Following 1. Wait for MACD to cross above zero line 2. Look for **dark green** histogram bars (high volume confirmation) 3. Enter long on second consecutive dark green bar 4. Hold while histogram remains green 5. Exit when histogram turns light green or red appears 6. Set stop below recent swing low **Example**: ``` Price: 26,400 → 26,450 (rising) MACD: -50 → +20 (crosses zero) Histogram: Light teal → Dark green → Dark green Volume: 50k → 75k → 90k (increasing) ``` #### Strategy 2: Divergence Reversal Trading 1. Identify divergence background (green = bullish, red = bearish) 2. Confirm with price structure (support/resistance, chart patterns) 3. Wait for MACD to cross signal line in divergence direction 4. Enter on first **dark colored** histogram bar after divergence 5. Set stop beyond divergence area 6. Target previous swing high/low **Example - Bullish Divergence**: ``` Price: Making lower lows (26,350 → 26,300 → 26,250) A/D: Rising (accumulation) MACD: Below zero but starting to curve up Background: Green shading appears Entry: MACD crosses signal line + dark green bar Stop: Below 26,230 Target: 26,450 (previous high) ``` #### Strategy 3: Momentum Scalping 1. Trade only in direction of MACD zero line (above = long, below = short) 2. Enter on dark colored bars only 3. Exit on first light colored bar or opposite color 4. Quick in and out (1-5 minute holds) 5. Tight stops (0.2-0.5% depending on instrument) #### Strategy 4: Histogram Pattern Trading **V-Bottom Reversal (Bullish)**: - Red histogram bars start rising (becoming less negative) - Forms "V" shape at the bottom - Transitions to light red → light teal → **dark green** - Entry: First dark green bar - Signal: Momentum reversal with volume **Λ-Top Reversal (Bearish)**: - Green histogram bars start falling (becoming less positive) - Forms inverted "V" at the top - Transitions to light green → light pink → **dark red** - Entry: First dark red bar - Signal: Momentum exhaustion with volume ### Multi-Timeframe Analysis **Recommended Approach**: 1. **Higher Timeframe (15m/1h)**: Identify overall trend direction 2. **Trading Timeframe (5m)**: Time entries using VMACDv3 signals 3. **Lower Timeframe (1m)**: Fine-tune entry prices **Example Setup**: ``` 15-minute: MACD above zero (bullish bias) 5-minute: Dark green histogram appears after pullback 1-minute: Enter on break of recent high with volume ``` ### Volume Strength Interpretation The volume filter compares current volume to 20-period average: - **Volume > Average**: Dark colors (green/red) - high confidence signals - **Volume < Average**: Light colors (teal/pink) - lower confidence signals **Trading Rules**: - ✓ **Aggressive**: Take all dark colored signals - ✓ **Conservative**: Only take dark colors that follow 2+ light colors of same type - ✗ **Avoid**: Trading light colored signals during high volatility - ✗ **Avoid**: Ignoring volume context during news events ## Technical Details ### Volume-Weighted Calculation ```pine // Volume-weighted fast EMA fast_ma = ta.ema(src * volume, fast_length) / ta.ema(volume, fast_length) // Volume-weighted slow EMA slow_ma = ta.ema(src * volume, slow_length) / ta.ema(volume, slow_length) // MACD is the difference macd = fast_ma - slow_ma // Signal line smoothing signal = ta.ema(macd, signal_length) // or ta.sma() if SMA selected // Histogram hist = macd - signal ``` ### Divergence Detection Logic ```pine // A/D trending up if above its 5-period SMA ad_trend = ad > ta.sma(ad, 5) // MACD trending up if above zero macd_trend = macd > 0 // Divergence when trends oppose each other divergence = ad_trend != macd_trend // Specific conditions for alerts bullish_divergence = ad_trend and not macd_trend and macd < 0 bearish_divergence = not ad_trend and macd_trend and macd > 0 ``` ### Histogram Coloring Logic ```pine hist_color = (hist >= 0 ? (hist < hist ? (vol_strength ? #1B5E20 : #26A69A) // Rising: dark/light green : #B2DFDB) // Positive but falling: cyan : (hist < hist ? (vol_strength ? #B71C1C : #FFCDD2) // Rising (less negative): dark/light red : #FF5252)) // Falling more: bright red ``` ## Alerts Built-in alert conditions for divergence detection: ### Bullish Divergence Alert - **Trigger**: A/D trending up, MACD negative and trending down - **Message**: "Bullish Divergence: A/D trending up but MACD trending down" - **Use Case**: Potential reversal or continuation after pullback - **Action**: Look for long entry setups ### Bearish Divergence Alert - **Trigger**: A/D trending down, MACD positive and trending up - **Message**: "Bearish Divergence: A/D trending down but MACD trending up" - **Use Case**: Potential top or trend reversal - **Action**: Consider exits or short entries ### Setting Up Alerts 1. Click "Create Alert" in TradingView 2. Condition: Select "VMACDv3" 3. Choose alert type: "Bullish Divergence" or "Bearish Divergence" 4. Configure: Email, SMS, webhook, or popup 5. Set frequency: "Once Per Bar Close" recommended ## Comparison Tables ### VMACDv3 vs Standard MACD | Feature | Standard MACD | VMACDv3 | |---------|---------------|---------| | **Price Weighting** | Equal weight all bars | Volume-weighted | | **Sensitivity** | Fixed | Adaptive to volume | | **False Signals** | More during low volume | Fewer (volume filter) | | **Divergence** | Price vs MACD | A/D vs MACD | | **Volume Analysis** | None | Built-in | | **Color System** | 2 colors | 4+ colors | | **Best For** | Simple trend following | Volume-confirmed trading | ### VMACDv3 vs ACCDv3 | Aspect | VMACDv3 | ACCDv3 | |--------|---------|--------| | **Focus** | Price momentum | Volume distribution | | **Reactivity** | Faster to price moves | Faster to volume shifts | | **Best Markets** | Trending, breakouts | Accumulation/distribution phases | | **Signal Type** | Where price + volume going | Where smart money positioning | | **Divergence Meaning** | Volume vs price disagreement | A/D vs momentum disagreement | | **Use Together?** | ✓ Yes, complementary | ✓ Yes, different perspectives | ## Example Trading Scenarios ### Scenario 1: Strong Bullish Breakout ``` Time: 9:30 AM (market open) Price: Breaks above 26,400 resistance MACD: Crosses above zero line Histogram: Dark green bars (#1B5E20) Volume: 2x average (150k vs 75k avg) A/D: Rising (no divergence) Action: Enter long at 26,405 Stop: 26,380 (below breakout) Target 1: 26,450 (risk:reward 1:2) Target 2: 26,500 (risk:reward 1:4) Result: High probability setup with volume confirmation ``` ### Scenario 2: False Breakout (Avoided) ``` Time: 2:30 PM (slow period) Price: Breaks above 26,400 resistance MACD: Slightly positive Histogram: Light teal bars (#26A69A) Volume: 0.5x average (40k vs 75k avg) A/D: Flat/declining Action: Avoid trade Reason: Low volume, no conviction, potential false breakout Outcome: Price reverses back below 26,400 within 10 minutes Saved: Avoided losing trade due to volume filter ``` ### Scenario 3: Bullish Divergence Bottom ``` Time: 11:00 AM Price: Making lower lows (26,350 → 26,300 → 26,280) MACD: Below zero but curving upward Histogram: Red bars getting shorter (V-bottom forming) Background: Green shading (divergence alert) A/D: Rising despite price falling Volume: Increasing on down bars Setup: 1. Divergence appears at 26,280 (green background) 2. Wait for MACD to cross signal line 3. First dark green bar appears at 26,290 4. Enter long: 26,295 (next bar open) 5. Stop: 26,265 (below divergence low) 6. Target: 26,350 (previous swing high) Result: +55 points (30 point risk, 1.8:1 reward) Key: Divergence + volume confirmation = high probability reversal ``` ### Scenario 4: Bearish Divergence Top ``` Time: 1:45 PM Price: Making higher highs (26,500 → 26,520 → 26,540) MACD: Positive but flattening Histogram: Green bars getting shorter (Λ-top forming) Background: Red shading (bearish divergence) A/D: Declining despite rising price Volume: Decreasing on up bars Setup: 1. Bearish divergence at 26,540 (red background) 2. MACD crosses below signal line 3. First dark red bar appears at 26,535 4. Enter short: 26,530 5. Stop: 26,555 (above divergence high) 6. Target: 26,475 (support level) Result: +55 points (25 point risk, 2.2:1 reward) Key: Distribution while price rising = smart money exiting ``` ### Scenario 5: V-Bottom Reversal ``` Downtrend in progress MACD: Deep below zero (-150) Histogram: Series of dark red bars Pattern Development: Bar 1: Dark red, hist = -80, falling Bar 2: Dark red, hist = -95, falling Bar 3: Dark red, hist = -100, falling (extreme) Bar 4: Light pink, hist = -98, rising! Bar 5: Light pink, hist = -90, rising Bar 6: Light teal, hist = -75, rising (crosses to positive momentum) Bar 7: Dark green, hist = -55, rising + volume Action: Enter long on Bar 7 Reason: V-bottom confirmed with volume Stop: Below Bar 3 low Target: Zero line on histogram (mean reversion) ``` ## Best Practices ### Entry Rules ✓ **Wait for dark colors**: High-volume confirmation is key ✓ **Confirm divergences**: Use with price support/resistance ✓ **Trade with zero line**: Long above, short below for best odds ✓ **Multiple timeframes**: Align 1m, 5m, 15m signals ✓ **Watch for patterns**: V-bottoms and Λ-tops are reliable ### Exit Rules ✓ **Partial profits**: Take 50% at first target ✓ **Trail stops**: Use histogram color changes ✓ **Respect signals**: Exit on opposite dark color ✓ **Time stops**: Close positions before major news ✓ **End of day**: Square up before close ### Avoid ✗ **Don't chase light colors**: Low volume = low confidence ✗ **Don't ignore divergence**: Early warning system ✗ **Don't overtrade**: Wait for clear setups ✗ **Don't fight the trend**: Zero line dictates bias ✗ **Don't skip stops**: Always use risk management ## Risk Management ### Position Sizing - **Dark green/red signals**: 1-2% account risk - **Light signals**: 0.5% account risk or skip - **Divergence plays**: 1% account risk (higher uncertainty) - **Multiple confirmations**: Up to 2% account risk ### Stop Loss Placement - **Trend trades**: Below/above recent swing (20-30 points typical) - **Breakout trades**: Below/above breakout level (15-25 points) - **Divergence trades**: Beyond divergence extreme (25-40 points) - **Scalp trades**: Tight stops at 10-15 points ### Profit Targets - **Minimum**: 1.5:1 reward to risk ratio - **Scalps**: 15-25 points (quick in/out) - **Swing**: 50-100 points (hold through pullbacks) - **Runners**: Trail with histogram color changes ## Timeframe Recommendations | Timeframe | Trading Style | Typical Hold | Advantages | Challenges | |-----------|---------------|--------------|------------|------------| | **1-minute** | Scalping | 1-5 minutes | Fast profits, many setups | Noisy, high false signals | | **5-minute** | Intraday | 15-60 minutes | Balance of speed/clarity | Still requires quick decisions | | **15-minute** | Swing | 1-4 hours | Clearer trends, less noise | Fewer opportunities | | **1-hour** | Position | 4-24 hours | Strong signals, less monitoring | Wider stops required | **Recommendation**: Start with 5-minute for best balance of signal quality and opportunity frequency. ## Combining with Other Indicators ### VMACDv3 + ACCDv3 - **Use**: Confirm volume flow with price momentum - **Signal**: Both showing dark green = highest conviction long - **Divergence**: VMACDv3 bullish + ACCDv3 bearish = examine price action ### VMACDv3 + RSI - **Use**: Overbought/oversold with momentum confirmation - **Signal**: RSI < 30 + dark green VMACD = strong reversal - **Caution**: RSI > 70 + light green VMACD = potential false breakout ### VMACDv3 + Elder Impulse - **Use**: Bar coloring + histogram confirmation - **Signal**: Green Elder bars + dark green VMACD = aligned momentum - **Exit**: Blue Elder bars + light colors = momentum stalling ## Limitations - **Requires volume data**: Will not work on instruments without volume feed - **Lagging indicator**: MACD inherently follows price (2-3 bar delay) - **Consolidation noise**: Generates false signals in tight ranges - **Gap handling**: Large gaps can distort volume-weighted values - **Not standalone**: Should combine with price action and support/resistance ## Troubleshooting **Problem**: Too many light colored signals **Solution**: Increase Volume MA Length to 30-40 for stricter filtering **Problem**: Missing entries due to waiting for dark colors **Solution**: Lower Volume MA Length to 10-15 for more signals (accept lower quality) **Problem**: Divergences not appearing **Solution**: Verify volume data available; check if A/D line is calculating **Problem**: Histogram colors not changing **Solution**: Ensure real-time data feed; refresh indicator ## Version History - **v3**: Removed traditional MACD, using volume-weighted MACD on price with A/D divergence - **v2**: Added A/D divergence detection, volume strength filtering, enhanced histogram colors - **v1**: Basic volume-weighted MACD on price ## Related Indicators **Companion Tools**: - **ACCDv3**: Volume-weighted MACD on A/D line (distribution focus) - **RSIv2**: RSI with A/D divergence detection - **DMI**: Directional Movement Index with A/D divergence - **Elder Impulse**: Bar coloring system using volume-weighted MACD **Use Together**: VMACDv3 (momentum) + ACCDv3 (distribution) + Elder Impulse (bar colors) = complete volume-based trading system --- *This indicator is for educational purposes. Past performance does not guarantee future results. Always practice proper risk management and never risk more than you can afford to lose.*
Penunjuk Pine Script®
oleh srinarayanant
Volume Threshold Levels - Crypto LidyaVolume Threshold Levels – Crypto Lidya Understanding volume behavior is one of the most effective ways to detect trend changes, manipulation candles, aggressive entries, and institutional activity. Volume Threshold Levels (VTL) not only displays raw volume but also calculates dynamic volume thresholds (2x – 3x – 4x) based on the moving average, allowing you to identify statistically meaningful volume anomalies with precision. 📌 1. Volume Columns The indicator plots each bar’s volume using traditional column-style visualization. Green: Bullish candle Red: Bearish candle Gray: Neutral candle This helps traders clearly understand the relationship between price and volume. 📌 2. Average Volume Area VTL offers two types of moving averages for volume: SMA (Simple Moving Average) EMA (Exponential Moving Average) The average volume is drawn as a soft yellow area across the chart. This area acts as the baseline for normal volume levels. 📌 3. Dynamic Threshold Lines (2x / 3x / 4x) The script calculates and displays multipliers of the average volume: 2x Average 3x Average 4x Average These levels appear as bright yellow lines. They are extremely useful for identifying breakouts, traps, and aggressive institutional entries. 📌 4. Volume Spike Detection (Alerts) VTL identifies upward crossovers where volume breaks above key levels: 1x Volume Signal 2x Volume Signal 3x Volume Signal 4x Volume Signal These can be used directly as TradingView alerts. This allows you to automate detection of high-impact volume spikes. 📌 5. Use Cases The indicator performs exceptionally well in: Breakout confirmation Liquidity sweep analysis Detecting manipulation candles Combining with OB, FVG, or other SMC structures Scalping and low-timeframe aggressive volume interpretation Algorithmic filters for volume-based strategies 📌 6. Summary VTL delivers: ✔ Dynamic average volume baseline ✔ Clear 2x–3x–4x volume thresholds ✔ Accurate detection of upside volume explosions ✔ A strong tool for traders who rely on volume confirmation Completely open-source and ready to be extended.
Penunjuk Pine Script®
oleh CryptoLidyaPro