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ChronoPulse MS-MACD Resonance StrategyChronoPulse MS-MACD Resonance Strategy A systematic trading strategy that combines higher-timeframe market structure analysis with dual MACD momentum confirmation, ATR-based risk management, and real-time quality assurance monitoring. Core Principles The strategy operates on the principle of multi-timeframe confluence, requiring agreement between: Market structure breaks (CHOCH/BOS) on a higher timeframe Dual MACD momentum confirmation (classic and crypto-tuned profiles) Trend alignment via directional EMAs Volatility and volume filters Quality score composite threshold Strategy Components Market Structure Engine : Detects Break of Structure (BOS) and Change of Character (CHOCH) events using confirmed pivots on a configurable higher timeframe. Default structure timeframe is 240 minutes (4H). Dual MACD Fusion : Requires agreement between two MACD configurations: Classic MACD: 12/26/9 (default) Fusion MACD: 8/21/5 (default, optimized for crypto volatility) Both must agree on direction before trade execution. This can be disabled to use single MACD confirmation. Trend Alignment : Uses two EMAs for directional bias: Directional EMA: 55 periods (default) Execution Trend Guide: 34 periods (default) Both must align with trade direction. ATR Risk Management : All risk parameters are expressed in ATR multiples: Stop Loss: 1.5 × ATR (default) Take Profit: 3.0 × ATR (default) Trail Activation: 1.0 × ATR profit required (default) Trail Distance: 1.5 × ATR behind price (default) Volume Surge Filter : Optional gate requiring current volume to exceed a multiple of the volume SMA. Default threshold is 1.4× the 20-period volume SMA. Quality Score Gate : Composite score (0-1) combining: Structure alignment (0.0-1.0) Momentum strength (0.0-1.0) Trend alignment (0.0-1.0) ATR volatility score (0.0-1.0) Volume intensity (0.0-1.0) Default threshold: 0.62. Trades only execute when quality score exceeds this threshold. Execution Discipline : Trade budgeting system: Maximum trades per session: 6 (default) Cooldown bars between entries: 5 (default) Quality Assurance Console : Real-time monitoring panel displaying: Structure status (pass/fail) Momentum confirmation (pass/fail) Volatility readiness (pass/fail) Quality score (pass/fail) Discipline compliance (pass/fail) Performance metrics (win rate, profit factor) Net PnL Certification requires: Win Rate ≥ 40%, Profit Factor ≥ 1.4, Minimum 25 closed trades, and positive net profit. Integrity Suite : Optional validation panel that audits: Configuration sanity checks ATR data readiness EMA hierarchy validity Performance realism checks Strategy Settings strategy( title="ChronoPulse MS-MACD Resonance Strategy", shorttitle="ChronPulse", overlay=true, max_labels_count=500, max_lines_count=500, initial_capital=100000, currency=currency.USD, pyramiding=0, commission_type=strategy.commission.percent, commission_value=0.015, slippage=2, default_qty_type=strategy.percent_of_equity, default_qty_value=2.0, calc_on_order_fills=true, calc_on_every_tick=true, process_orders_on_close=true ) Key Input Parameters Structure Timeframe : 240 (4H) - Higher timeframe for structure analysis Structure Pivot Left/Right : 3/3 - Pivot confirmation periods Structure Break Buffer : 0.15% - Buffer for structure break confirmation MACD Fast/Slow/Signal : 12/26/9 - Classic MACD parameters Fusion MACD Fast/Slow/Signal : 8/21/5 - Crypto-tuned MACD parameters Directional EMA Length : 55 - Primary trend filter Execution Trend Guide : 34 - Secondary trend filter ATR Length : 14 - ATR calculation period ATR Stop Multiplier : 1.5 - Stop loss in ATR units ATR Target Multiplier : 3.0 - Take profit in ATR units Trail Activation : 1.0 ATR - Profit required before trailing Trail Distance : 1.5 ATR - Distance behind price Volume Threshold : 1.4× - Volume surge multiplier Quality Threshold : 0.62 - Minimum quality score (0-1) Max Trades Per Session : 6 - Daily trade limit Cooldown Bars : 5 - Bars between entries Win-Rate Target : 40% - Minimum for QA certification Profit Factor Target : 1.4 - Minimum for QA certification Minimum Trades for QA : 25 - Required closed trades Signal Generation Logic A trade signal is generated when ALL of the following conditions are met: Higher timeframe structure shows bullish (CHOCH/BOS) or bearish structure break Both MACD profiles agree on direction (if fusion enabled) Price is above both EMAs for longs (below for shorts) ATR data is ready and above minimum threshold Volume exceeds threshold × SMA (if volume gate enabled) Quality score ≥ quality threshold Trade budget available (under max trades per day) Cooldown period satisfied Risk Management Stop loss and take profit are set immediately on entry Trailing stop activates after 1.0 ATR of profit Trailing stop maintains 1.5 ATR distance behind highest profit point Position sizing uses 2% of equity per trade (default) No pyramiding (single position per direction) Limitations and Considerations The strategy requires sufficient historical data for higher timeframe structure analysis Quality gate may filter out many potential trades, reducing trade frequency Performance metrics are based on historical backtesting and do not guarantee future results Commission and slippage assumptions (0.015% + 2 ticks) may vary by broker The strategy is optimized for trending markets with clear structure breaks Choppy or ranging markets may produce false signals Crypto markets may require different parameter tuning than traditional assets Optimization Notes The strategy includes several parameters that can be tuned for different market conditions: Quality Threshold : Lower values (0.50-0.60) allow more trades but may reduce average quality. Higher values (0.70+) are more selective but may miss opportunities. Structure Timeframe : Use 240 (4H) for intraday trading, Daily for swing trading, Weekly for position trading Volume Gate : Disable for low-liquidity pairs or when volume data is unreliable Dual MACD Fusion : Disable for mean-reverting markets where single MACD may be more responsive Trade Discipline : Adjust max trades and cooldown based on your risk tolerance and market volatility Non-Repainting Guarantee All higher timeframe data requests use lookahead=barmerge.lookahead_off to prevent repainting. Pivot detection waits for full confirmation before registering structure breaks. All visual elements (tables, labels) update only on closed bars. Alerts Three alert conditions are available: ChronoPulse Long Setup : Fires when all long entry conditions are met ChronoPulse Short Setup : Fires when all short entry conditions are met ChronoPulse QA Certification : Fires when Quality Assurance console reaches CERTIFIED status Configure alerts with "Once Per Bar Close" delivery to match the non-repainting design. Visual Elements Structure Labels : CHOCH↑, CHOCH↓, BOS↑, BOS↓ markers on structure breaks Directional EMA : Orange line showing trend bias Trailing Stop Lines : Green (long) and red (short) trailing stop levels Dashboard Panel : Real-time status display (structure, MACD, ATR, quality, PnL) QA Console : Quality assurance monitoring panel Integrity Suite Panel : Optional validation status display Recommended Usage Forward test with paper trading before live deployment Monitor the QA console until it reaches CERTIFIED status Adjust parameters based on your specific market and timeframe Respect the trade discipline limits to avoid over-trading Review quality scores and adjust threshold if needed Use appropriate commission and slippage settings for your broker Technical Implementation The strategy uses Pine Script v6 with the following key features: Multi-timeframe data requests with lookahead protection Confirmed pivot detection for structure analysis Dynamic trailing stop management Real-time quality score calculation Trade budgeting and cooldown enforcement Comprehensive dashboard and monitoring panels All source code is open and available for review and modification. Disclaimer This script is for educational and informational purposes only. It is not intended as financial, investment, or trading advice. Past performance does not guarantee future results. Trading involves substantial risk of loss and is not suitable for all investors. Always conduct your own research and consult with a qualified financial advisor before making any trading decisions. The author and TradingView are not responsible for any losses incurred from using this strategy.
Pine Script® strategy
by officialjackofalltrades
ATR ZigZag BreakoutATR ZigZag Breakout This strategy uses my ATR ZigZag indicator (powered by the ZigZagCore library) to scalp breakouts at volatility-filtered highs and lows. Everyone knows stops cluster around clear swing highs and lows. Breakout traders often pile in there, too. These levels are predictable areas where aggressive orders hit the tape. The idea here is simple: → Let ATR ZigZag define clean, volatility-filtered pivots → Arm a stop market order at those pivots → Join the breakout when the crowd hits the level The key to greater success in this simple strategy lies in the ZigZag. Because the pivots are filtered by ATR instead of fixed bar counts or fractals, the levels tend to be more meaningful and less noisy. This approach is especially suited for intraday trading on volatile instruments (e.g., NQ, GC, liquid crypto pairs). How It Works 1. Pivot detection The ATR ZigZag uses an ATR-based threshold to confirm swing highs and lows. Only when price has moved far enough in the opposite direction does a pivot become “official.” 2. Candidate breakout level When a new swing direction is detected and the most recent high/low has not yet been broken in the current leg, the strategy arms a stop market order at that pivot. • Long candidate → most recent swing high • Short candidate → most recent swing low These “candidate trades” are shown as dotted lines. 3. Entry, SL, and TP If price breaks through the level, the stop order is filled and a bracket is placed: • Stop loss = ATR × SL multiplier • Take profit = SL distance × RR multiplier Once a level has traded, it is not reused in the same swing leg. 4. Cancel & rotate If the market reverses and forms a new swing in the opposite direction before the level is hit, the pending order is cancelled and a new candidate is considered in the new direction. Additional Features • Optional session filter for backtesting specific trading hours
Pine Script® strategy
by ReflexSignals
Reversal WaveThis is the type of quantitative system that can get you hated on investment forums, now that the Random Walk Theory is back in fashion. The strategy has simple price action rules, zero over-optimization, and is validated by a historical record of nearly a century on both Gold and the S&P 500 index. Recommended Markets SPX (Weekly, Monthly) SPY (Monthly) Tesla (Weekly) XAUUSD (Weekly, Monthly) NVDA (Weekly, Monthly) Meta (Weekly, Monthly) GOOG (Weekly, Monthly) MSFT (Weekly, Monthly) AAPL (Weekly, Monthly) System Rules and Parameters Total capital: $10,000 We will use 10% of the total capital per trade Commissions will be 0.1% per trade Condition 1: Previous Bearish Candle (isPrevBearish) (the closing price was lower than the opening price). Condition 2: Midpoint of the Body The script calculates the exact midpoint of the body of that previous bearish candle. • Formula: (Previous Open + Previous Close) / 2. Condition 3: 50% Recovery (longCondition) The current candle must be bullish (green) and, most importantly, its closing price must be above the midpoint calculated in the previous step. Once these parameters are met, the system executes a long entry and calculates the exit parameters: Stop Loss (SL): Placed at the low of the candle that generated the entry signal. Take Profit (TP): Calculated by projecting the risk distance upward. • Calculation: Entry Price + (Risk * 1). Risk:Reward Ratio of 1:1. About the Profit Factor In my experience, TradingView calculates profits and losses based on the percentage of movement, which can cause returns to not match expectations. This doesn’t significantly affect trending systems, but it can impact systems with a high win rate and a well-defined risk-reward ratio. It only takes one large entry candle that triggers the SL to translate into a major drop in performance. For example, you might see a system with a 60% win rate and a 1:1 risk-reward ratio generating losses, even though commissions are under control relative to the number of trades. My recommendation is to manually calculate the performance of systems with a well-defined risk-reward ratio, assuming you will trade using a fixed amount per trade and limit losses to a fixed percentage. Remember that, even if candles are larger or smaller in size, we can maintain a fixed loss percentage by using leverage (in cases of low volatility) or reducing the capital at risk (when volatility is high). Implementing leverage or capital reduction based on volatility is something I haven’t been able to incorporate into the code, but it would undoubtedly improve the system’s performance dramatically, as it would fix a consistent loss percentage per trade, preventing losses from fluctuating with volatility swings. For example, we can maintain a fixed loss percentage when volatility is low by using the following formula: Leverage = % of SL you’re willing to risk / % volatility from entry point to exit or SL And if volatility is high and exceeds the fixed percentage we want to expose per trade (if SL is hit), we could reduce the position size. For example, imagine we only want to risk 15% per SL on Tesla, where volatility is high and would cause a 23.57% loss. In this case, we subtract 23.57% from 15% (the loss percentage we’re willing to accept per trade), then subtract the result from our usual position size. 23.57% - 15% = 8.57% Suppose I use $200 per trade. To calculate 8.57% of $200, simply multiply 200 by 8.57/100. This simple calculation shows that 8.57% equals about $17.14 of the $200. Then subtract that value from $200: $200 - $17.14 = $182.86 In summary, if we reduced the position size to $182.86 (from the usual $200, where we’re willing to lose 15%), no matter whether Tesla moves up or down 23.57%, we would still only gain or lose 15% of the $200, thus respecting our risk management. Final Notes The code is extremely simple, and every step of its development is detailed within it. If you liked this strategy, which complements very well with others I’ve already published, stay tuned. Best regards.
Pine Script® strategy
by OldWave96
2
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")
Pine Script® strategy
by amart24
5-Min Range Breakout (09:30 NY on MNQ)This is a 5 - min orb strat that a youtuber mentioned and i had a manual look for a while and thought it was actually pretty good but my results are bad. Feel free to look yourself with this code. Basically this strat is using the 5min orb then go down to 1min timeframe and wait for a breakout with FVG confirmation. So candle after breaking candle is our entry only if FVG is formed. However i do notice if you dump this code onto 5min timefraem and above you start consistently making money but it is a very small amount for me so you all can have it. Good starter strat on 5min or 10min timeframe
Pine Script® strategy
by ryanfoot7
1
Profitable Pair Correlation Divergence Scanner v6This strategy identifies divergence opportunities between two correlated assets using a combination of Z-Score spread analysis, trend confirmation, RSI & MACD momentum checks, correlation filters, and ATR-based stop-loss/take-profit management. It’s optimized for positive P&L and realistic trade execution. Key Features: Pair Divergence Detection: Measures deviation between returns of two assets and identifies overbought/oversold spread conditions using Z-Score. Trend Alignment: Trades only in the direction of the primary asset’s trend using a fast EMA vs slow EMA filter. Momentum Confirmation: Confirms trades with RSI and MACD to reduce false signals. Correlation Filter: Ensures the pair is strongly correlated before taking trades, avoiding noisy signals. Risk Management: Dynamic ATR-based stop-loss and take-profit ensures proper reward-to-risk ratio. Exit Conditions: Automatically closes positions when Z-Score normalizes, or ATR-based exits are hit. How It Works: Calculate Returns: Computes returns for both assets over the selected timeframe. Z-Score Spread: Calculates the spread between returns and normalizes it using moving average and standard deviation. Trend Filter: Only takes long trades if the fast EMA is above the slow EMA, and short trades if the fast EMA is below the slow EMA. Momentum Confirmation: Confirms trade direction with RSI (>50 for longs, <50 for shorts) and MACD alignment. Correlation Check: Ensures the pair’s recent correlation is strong enough to validate divergence signals. Trade Execution: Opens positions when Z-Score crosses thresholds and all conditions align. Positions close when Z-Score normalizes or ATR-based SL/TP is hit. Plot Explanation: Z-Score: Blue line shows divergence magnitude. Entry Levels: Red/Green lines mark long/short thresholds. Exit Zone: Gray lines show normalization zone. EMA Trend Lines: Purple (fast), Orange (slow) for trend alignment. Correlation: Teal overlay shows current correlation strength. Usage Tips: Use highly correlated pairs for best results (e.g., EURUSD/GBPUSD). Run on higher timeframe charts (1h or 4h) to reduce noise. Adjust ATR multiplier based on volatility to avoid premature stops. Combine with alerts for automated notifications or webhook execution. Conclusion: The Profitable Pair Correlation Divergence Scanner v6 is designed for traders who want systematic, low-risk, positive P&L trading opportunities with minimal manual monitoring. By combining trend alignment, momentum confirmation, correlation filters, and dynamic exits, it reduces false signals and improves execution reliability. Run it on TradingView and watch how it captures divergence opportunities while maintaining positive P&L across trades.
Pine Script® strategy
by AIScripts
specific breakout FiFTOStrategy Description: 10:14 Breakout Only Overview This is a time-based intraday trading strategy designed to capture momentum bursts that occur specifically after the 10:14 AM candle closes. It operates on the logic that if price breaks the high of this specific candle within a short window, a trend continuation is likely. Core Logic & Rules The Setup Candle (10:14 AM) The strategy waits specifically for the minute candle at 10:14 to complete. Once this candle closes, the strategy records its High price. Defining the Entry Level It calculates a trigger price by taking the 10:14 High and adding a user-defined Buffer (e.g., +1 point). Formula: Entry Level = 10:14 High + Buffer The "Active Window" (Expiry) The trade setup does not remain open all day. It has a strict time limit. By default, the setup is valid from 10:15 to 10:20. If the price does not break the Entry Level by the expiry time (default 10:20), the setup is cancelled and no trade is taken for the day. Entry Trigger If a candle closes above the Entry Level while the window is open, a Long (Buy) position is opened immediately. Exits (Risk Management) Stop Loss: A fixed number of points below the entry price. Target: A fixed number of points above the entry price. Visual & Automation Features Visual Boxes: Upon entry, the strategy draws a "Long Position" style visual on the chart. A green box highlights the profit zone, and a red box highlights the loss zone. These boxes extend automatically until the trade closes. JSON Alerts: The strategy is pre-configured to send data-rich alerts for automation (e.g., Telegram bots). Entry Alert: Includes Symbol, Entry Price, SL, and TP. Exit Alerts: Specific messages for "Target Hit" or "SL Hit". Summary of User Inputs Entry Buffer: Extra points added to the high to filter false breaks. Fixed Stop Loss: Risk per trade in points. Fixed Target: Reward per trade in points. Expiry Minute: The minute (10:xx) at which the setup becomes invalid if not triggered.
Pine Script® strategy
by official_fifto
BTC Dynamic Volatility Trend Backtested from 2017 to present, this strategy has delivered a staggering 7100%+ cumulative return. It doesn't just track the market; it dominates it. By capturing major trends and strictly limiting drawdowns, it has significantly outperformed the standard 'Buy & Hold' BTC strategy, proving its ability to generate massive alpha across multiple bull and bear cycles. 自 2017 年至今，本策略实现了惊人的 7100%+ 累计收益率。它不仅仅是跟随市场，更是超越了市场。通过精准捕捉主升浪并严格控制回撤，该策略在穿越多轮牛熊周期后，大幅度跑赢了比特币‘买入持有’（Buy & Hold）的基准收益，展现了极致的阿尔法（Alpha）捕捉能力。" Introduction ：Simplicity is the ultimate sophistication. This strategy is designed specifically for Bitcoin (BTC), capturing its unique characteristics: high volatility, frequent fakeouts, and massive trend persistence. It abandons complex indicators in favor of a robust logic: "Follow the Trend, Filter the Noise, Let Profits Run." Core Logic Trend Filter (Fibonacci EMA 144): We use the 144-period Exponential Moving Average as the baseline. Longs are only taken above this line, and shorts only below. This keeps you on the right side of the major trend. Volatility Breakout (Donchian Channel 20): Entries are triggered only when price breaks the 20-day high (for longs) or low (for shorts). This confirms momentum and avoids trading in chop. Dynamic Risk Management (ATR Chandelier Exit): Instead of fixed % stops, we use Average True Range (ATR) to calculate stop losses. The Ratchet Mechanism: The stop loss moves up with the price but never moves down (for longs). This locks in profits automatically as the trend develops and exits immediately when volatility turns against you. Why Use This Strategy? Zero Repainting: All signals are confirmed. No Curve Fitting: Uses classic parameters (144, 20) that have worked for decades. Mental Peace: The strategy handles the exit. You don't need to guess where to sell. It holds through minor corrections and exits only when the trend truly reverses. Settings Leverage %: Adjust your position size based on equity (default 100% = 1x). Timeframe: Recommended for 4H charts. 中文版 (Chinese Version) 简介 ：大道至简。本策略专为 比特币 (BTC) 设计，针对其高波动、假突破多但趋势爆发力强的特点，摒弃了复杂的过度拟合指标，回归交易本质：“顺大势，滤噪音，截断亏损，让利润奔跑”。 核心逻辑 趋势过滤器 (斐波那契 EMA 144)： 使用 144 周期指数移动平均线作为多空分水岭。价格在均线之上只做多，之下只做空。这能有效过滤掉大部分震荡市的噪音。 波动率突破 (唐奇安通道 20)： 只有当价格突破过去 20 根 K 线的最高价（做多）或最低价（做空）时才进场。这确保了我们只在趋势确立的瞬间入场。 动态风控 (ATR 吊灯止损)： 拒绝固定点数止损，使用 ATR（平均真实波幅）根据市场热度动态计算安全距离。 棘轮机制： 止损线会跟随价格上涨而上移，但绝不会下移（做多时）。这实现了自动化的“利润锁定”，既能扛住正常的波动回调，又能在大势反转时果断离场。 策略优势 绝不重绘： 所有信号均为收盘确认或实时触价。 拒绝拟合： 使用经过数十年市场验证的经典参数组合。 心态管理： 策略全自动管理出场。你不需要纠结何时止盈，它会帮你吃到完整的鱼身，直到趋势结束。 使用建议 资金管理： 可通过参数调整仓位占比（默认 100% = 1倍杠杆）。 推荐周期： 建议在4小时 图表上运行效果最佳。
Pine Script® strategy
by GinsTradingRoom
US Market Long Horizon Momentum Summary in one paragraph US Market Long Horizon Momentum is a trend following strategy for US index ETFs and futures built around a single eighteen month time series momentum measure. It helps you stay long during persistent bull regimes and step aside or flip short when long term momentum turns negative. Scope and intent • Markets. Large cap US equity indices, liquid US index ETFs, index futures • Timeframes. 4h/ Daily charts • Default demo used in the publication. SPY on 4h timeframe chart • Purpose. Provide a minimal long bias index timing model that can reduce deep drawdowns and capture major cycles without parameter mining • Limits. This is a strategy. Orders are simulated on standard candles only Originality and usefulness • Unique concept or fusion. One unscaled multiple month log return of an external benchmark symbol drives all entries and exits, with optional volatility targeting as a single risk control switch. • Failure mode addressed. Fully passive buy and hold ignores the sign of long horizon momentum and can sit through multi year drawdowns. This script offers a way to step down risk in prolonged negative momentum without chasing short term noise. • Testability. All parameters are visible in Inputs and the momentum series is plotted so users can verify every regime change in the Tester and on price history. • Portable yardstick. The log return over a fixed window is a unit that can be applied to any liquid symbol with daily data. Method overview in plain language The method looks at how far the benchmark symbol has moved in log return terms over an eighteen month window in our example. If that long horizon return is positive the strategy allows a long stance on the traded symbol. If it is negative and shorts are enabled the strategy can flip short, otherwise it goes flat. There is an optional realised volatility estimate on the traded symbol that can scale position size toward a target annual volatility, but in the default configuration the model uses unit leverage and only the sign of momentum matters. Base measures Return basis. The core yardstick is the natural log of close divided by the close eighteen months ago on the benchmark symbol. Daily log returns of the traded symbol feed the realised volatility estimate when volatility targeting is enabled. Components • Component one Momentum eighteen months. Log of benchmark close divided by its close mom_lookback bars ago. Its sign defines the trend regime. No extra smoothing is applied beyond the long window itself. • Component two Realised volatility optional. Standard deviation of daily log returns on the traded symbol over sixty three days. Annualised by the square root of 252. Used only when volatility targeting is enabled. • Optional component Volatility targeting. Converts target annual volatility and realised volatility into a leverage factor clipped by a maximum leverage setting. Fusion rule The model uses a simple gate. First compute the sign of eighteen month log momentum on the benchmark symbol. Optionally compute leverage from volatility. The sign decides whether the strategy wants to be long, short, or flat. Leverage only rescales position size when enabled and does not change direction. Signal rule • Long suggestion. When eighteen month log momentum on the benchmark symbol is greater than zero, the strategy wants to be long. • Short suggestion. When that log momentum is less than zero and shorts are allowed, the strategy wants to be short. If shorts are disabled it stays flat instead. • Wait state. When the log momentum is exactly zero or history is not long enough the strategy stays flat. • In position. In practice the strategy sits IN LONG while the sign stays positive and flips to IN SHORT or flat only when the sign changes. Inputs with guidance Setup • Momentum Lookback (months). Controls the horizon of the log return on the benchmark symbol. Typical range 6 to 24 months. Raising it makes the model slower and more selective. Lowering it makes it more reactive and sensitive to medium term noise. • Symbol. External symbol used for the momentum calculation, SPY by default. Changing it lets you time other indices or run signals from a benchmark while trading a correlated instrument. Logic • Allow Shorts. When true the strategy will open short positions during negative momentum regimes. When false it will stay flat whenever momentum is negative. Practical setting is tied to whether you use a margin account or an ETF that supports shorting. Internal risk parameters (not exposed as inputs in this version) are: • Target Vol (annual). Target annual volatility for volatility targeting, default 0.2. • Vol Lookback (days). Window for realised volatility, default 63 trading days. • Max Leverage. Cap on leverage when volatility targeting is enabled, default 2. Usage recipes Swing continuation • Signal timeframe. Use the daily chart. • Benchmark symbol. Leave at SPY for US equity index exposure. • Momentum lookback. Eighteen months as a default, with twelve months as an alternative preset for a faster swing bias. Properties visible in this publication • Initial capital. 100000 • Base currency. USD • Default order size method. 5% of the total capital in this example • Pyramiding. 0 • Commission. 0.03 percent • Slippage. 3 ticks • Process orders on close. On • Bar magnifier. Off • Recalculate after order is filled. Off • Calc on every tick. Off • All request.security calls use lookahead = barmerge.lookahead_off Realism and responsible publication The strategy is for education and research only. It does not claim any guaranteed edge or future performance. All results in Strategy Tester are hypothetical and depend on the data vendor, costs, and slippage assumptions. Intrabar motion is not modeled inside daily bars so extreme moves and gaps can lead to fills that differ from live trading. The logic is built for standard candles and should not be used on synthetic chart types for execution decisions. Performance is sensitive to regime structure in the US equity market, which may change over time. The strategy does not protect against single day crash risk inside bars and does not model gap risk explicitly. Past behavior of SPY and the momentum effect does not guarantee future persistence. Honest limitations and failure modes • Long sideways regimes with small net change over eighteen months can lead to whipsaw around the zero line. • Very sharp V shaped reversals after deep declines will often be missed because the model waits for momentum to turn positive again. • The sample size in a full SPY history is small because regime changes are infrequent, so any test must be interpreted as indicative rather than statistically precise. • The model is highly dependent on the chosen lookback. Users should test nearby values and validate that behavior is qualitatively stable. Legal Education and research only. Not investment advice. You are responsible for your own decisions. Always test on historical data and in simulation with realistic costs before any live use.
Pine Script® strategy
by exlux
Momentum Reversal / Dip Buyer [Score Based]Strategy Overview Momentum Reversal / Dip Buyer is a quantitative reversal engine designed to fade stretched moves and buy dips / sell rallies when multiple momentum and context factors line up. It’s built for liquid instruments especially for ticker CME_MINI:ES1! and works best on intraday timeframes like the 5-minute or 1-minute chart. Core Logic This strategy builds a composite Momentum Score by combining: Price Location: Relative to 100 SMA, 1000 EMA, and VWAP (trend / regime filter). RSI: Overbought/oversold and mid-zone strength. VWMO (Volume-Weighted Momentum): Direction and strength of volume-weighted price drift. ADX: Trend strength filter (high vs low trend environment). Full Stoch (%K): Short-term exhaustion and mean-reversion context. CCI: Overbought/oversold turns (key trigger). MFI: Volume-confirmed buying/selling pressure. ATR Regime: High vs low volatility environment. Cumulative Delta: Whether net aggressor flow is rising or falling. From this, a single Momentum Score is computed each bar: Longs: Taken when the score is depressed (scoreLow) and CCI crosses up from oversold. Shorts: Taken when the score is elevated (scoreHigh) and CCI crosses down from overbought. Risk Management & Trade Logic Max Daily Trades: Hard cap on entries per day. Hard Stop: Fixed % stop based on entry price. Profit Target: Target ATR Multiplier × main ATR from entry. Breakeven Logic: Optional; moves stop to breakeven (plus optional offset) after price moves a configurable multiple of the main ATR in your favor. Trailing Stop (Separate ATR): Optional; uses its own ATR length and ATR-based trigger and distance. This lets you run slower ATR for targets while using a tighter, more reactive ATR for the trail. Session Control Trading Window: Optional session filter (e.g., 09:30–16:00). Entries are only allowed inside the defined window. Force Flat at Session End: Option to automatically close all open positions when the session ends. Visuals The script plots entry arrows and a compact dashboard displaying: current Momentum Score, daily trade usage, and CCI status. Disclaimer: This script is for educational and research purposes only and is not financial advice. Past performance does not guarantee future results. Always forward-test and adjust parameters to your own risk tolerance and market. Shoutout and all credit goes to AuclairsCapital for building the base foundation of this strategy on ThinkScript
Pine Script® strategy
by TheTRADRS
Inyerneck Quiet Bottom Hunter v36 — Last Sorta-Working VersionQuiet Bottom Hunter v36 — Accurate Description (the sorta-working version that fires signals) Overview A mean-reversion bottom-hunting strategy for small-cap stocks (<$2B market cap). Designed to catch slow-bleed stocks that quietly bottom out and rebound 20–60%+. Good for beginners because signals are infrequent and the setup is easy to understand. Timeframe Daily (D) — best results on 1-day charts. Works on weekly too, but signals are rarer. Triggers / Conditions (all must be true at bar close) Drop from high ≥ 25% from the highest high in the last 100 bars (previous bars only — no repainting) Volume ≤ 80% of the 50-day average (quiet accumulation, no panic selling left) RSI(14) ≤ 38 (oversold territory) Green/flat streak ≥ 2 consecutive days where close ≥ open (shows sellers are exhausted) When all four line up → tiny green “QB” triangle below the bar Firing Frequency 1–4 signals per month on an average small-cap stock (depends on market conditions). Some months zero, some months a handful. Not spammy, but not ultra-rare either. Usage Parameters Position size: 10% of equity per trade (default — change to 5–20% depending on risk tolerance) Profit target: 40% Stop loss: 12% Hold time: usually 2–8 weeks Best on low-float, high-volatility small caps (TLRY, SNDL, MVIS, SOUN, INHD, etc.) Expected Performance (backtested on 2025 small caps) Win rate: ~80–85% Average rebound on winners: +30–40% Some losers when the bottom isn't "quiet" enough How to use Add to daily charts of your small-cap watchlist When “QB” arrow appears, buy at next open or market Set 40% target / 12% stop or trail it Wait for the rebound — no day-trading needed
Pine Script® strategy
by oogabooger
The Flody SniperA trend-following sniper strategy that uses two EMAs (21/55) and RSI to confirm momentum. It enters long when price crosses above the fast EMA during an uptrend and RSI shows strength. It enters short when price crosses below the fast EMA during a downtrend and RSI shows weakness. Pyramiding is enabled so the strategy can add more positions as the trend continues. Positions close when momentum weakens or price breaks back through the fast EMA.
Pine Script® strategy
by OneGoogle
Bollinger Bands Mean Reversion using RSI [Krishna Peri]How it Works Long entries trigger when: - RSI reaches oversold levels, and - At least one bullish candle closes inside the lower Bollinger Band Short entries trigger when: - RSI reaches overbought levels, and - At least one bearish candle closes inside the upper Bollinger Band This approach aims to capture exhaustion moves where price pushes into extreme deviation from its mean and then snaps back toward the middle band. Important Disclaimer This is a mean-reversion strategy, which means it performs best in sideways, ranging, or slowly oscillating market conditions. When markets shift into strong trends, Bollinger Bands expand and volatility increases, which may cause some signals to become inaccurate or fail altogether. For best results, combine this script with: - Price action - Market structure - Higher-timeframe trend context - Previous day/week/month highs & lows - Untested liquidity levels or imbalance zones - Session timing (Asia, London, NY) Using these confluences helps filter out low-probability trades and significantly improves consistency and precision.
Pine Script® strategy
by krishnaperi95
3
Adaptive Alligator - Asymmetric MH (Entry Only) Adaptive Alligator – Asymmetric Mexican Hat (Entry Only) This strategy combines adaptive cycle detection (wavelet + autocorrelation), directional entropy, and a Mexican Hat filter to generate highly selective LONG entry signals. Exits are based solely on the Alligator structure. The system is designed to detect asymmetric, strong, and accelerating bullish phases while filtering out market noise. 1. Adaptive Cycle Detection: The strategy analyzes the median price using wavelet decomposition (Haar, Daubechies D4/D6, Symlet 4), wavelet detail energy, and autocorrelation. It also incorporates the ratio of short-term to long-term ATR volatility. Based on these components, it computes a dominant_cycle value, which dynamically controls the lengths of the Alligator lines (Jaw, Teeth, Lips). This adaptive behavior allows the Alligator to speed up during trending phases and slow down during noise or consolidation. 2. Directional Entropy: Entropy is measured separately for upward and downward movements within the selected lookback window. The entropy difference: e_diff = entropy_down - entropy_up represents the directional bias of the market. When e_diff > 0, the market shows an organized bullish pressure; when < 0, bearish dominance. 3. Mexican Hat Filter: The Mexican Hat (Ricker Wavelet) acts as a second-derivative filter, detecting local maxima in the acceleration of directional entropy. The filtered output (mh_out) is compared against an adaptive noise level computed as SMA(|mh_out|). A signal is considered strong only when: – mh_out exceeds the adaptive noise level, – mh_out is rising relative to the previous bar. This step is critical for eliminating false signals produced by random fluctuations. 4. Entry Logic: A LONG entry requires all three layers: (1) Alligator structure: Lips > Teeth > Jaw. (2) Directional entropy bias: e_diff > 0. (3) A strong, accelerating Mexican Hat signal confirmed by a user-defined number of bars. Once all conditions are satisfied, a buy_final entry is triggered. 5. Exit Logic: Exits are intentionally simple and rely solely on the Alligator: crossunder(lips, teeth) This clean separation ensures precise, adaptive entries and stable, consistent exits. 6. Visual Components: – Alligator lines: Jaw (blue), Teeth (red), Lips (green), plotted with their characteristic offsets. – Background coloring reflects signal strength: dark green (STRONG BUY), lime (acceleration), yellow (weak bias), transparent otherwise. – A dedicated panel displays e_diff (entropy difference), mh_out (Mexican Hat output), and the adaptive noise band. 7. Diagnostic Table: A compact diagnostic dashboard shows: – MH Value, – Noise Level, – MH Acceleration (YES/NO), – Signal Status (STRONG BUY / ACCELERATING / WEAK / BEARISH). It updates on the last bar, making it suitable for live monitoring. 8. Use Case: This strategy is highly selective and ideal as an entry module within trend-following systems. By combining wavelets, entropy, and adaptive noise modeling, it effectively filters out consolidation periods and focuses only on statistically significant bullish transitions. It can be integrated with various exit frameworks such as ATR stops, channel-based exits, range boxes, or trailing logic.
Pine Script® strategy
by wojlucz
Options Scalper v2 - SPY/QQQHere's a comprehensive description of the Options Scalper v2 strategy: --- ## Options Scalper v2 - SPY/QQQ ### Overview A multi-indicator confluence-based scalping strategy designed for trading SPY and QQQ options on short timeframes (1-5 minute charts). The strategy uses a scoring system to generate high-probability CALL and PUT signals by requiring alignment across multiple technical indicators before triggering entries. --- ### Core Logic The strategy operates on a **scoring system (0-9 points)** where both bullish (CALL) and bearish (PUT) conditions are evaluated independently. A signal only fires when: 1. A recent EMA crossover occurred (within the last 3 bars) 2. The direction's score meets the minimum threshold (default: 4 points) 3. The signal's score is higher than the opposite direction 4. Enough bars have passed since the last signal (cooldown period) 5. Price action occurs during valid trading sessions --- ### Indicators Used | Indicator | Purpose | CALL Condition | PUT Condition | |-----------|---------|----------------|---------------| | **9/21 EMA Cross** | Primary trigger | Fast EMA crosses above slow | Fast EMA crosses below slow | | **200 EMA** | Trend filter | Price above 200 EMA | Price below 200 EMA | | **RSI (14)** | Momentum filter | RSI between 45-65 | RSI between 35-55 | | **VWAP** | Institutional level | Price above VWAP | Price below VWAP | | **MACD (12,26,9)** | Momentum confirmation | MACD line > Signal line | MACD line < Signal line | | **Stochastic (14,3)** | Overbought/Oversold | Oversold or K > D | Overbought or K < D | | **Volume** | Participation confirmation | Spike on green candle | Spike on red candle | | **Price Structure** | Breakout detection | Higher high formed | Lower low formed | --- ### Scoring Breakdown **CALL Score (Max 9 points):** - Recent EMA cross up: +2 pts - EMA alignment (fast > slow): +1 pt - RSI in bullish range: +1 pt - Above VWAP: +1 pt - MACD bullish: +1 pt - Volume spike on green candle: +1 pt - Stochastic setup: +1 pt - Above 200 EMA: +1 pt - Breaking higher high: +1 pt **PUT Score (Max 9 points):** - Recent EMA cross down: +2 pts - EMA alignment (fast < slow): +1 pt - RSI in bearish range: +1 pt - Below VWAP: +1 pt - MACD bearish: +1 pt - Volume spike on red candle: +1 pt - Stochastic setup: +1 pt - Below 200 EMA: +1 pt - Breaking lower low: +1 pt --- ### Risk Management The strategy uses **ATR-based dynamic stops and targets**: | Parameter | Default | Description | |-----------|---------|-------------| | Stop Loss | 1.5x ATR | Distance below entry for longs, above for shorts | | Take Profit | 2.0x ATR | Creates a 1:1.33 risk-reward ratio | Positions are also closed on: - Opposite direction signal (flip trade) - Take profit or stop loss hit --- ### Session Filtering Trades are restricted to high-liquidity periods by default: - **Morning Session:** 9:30 AM - 11:00 AM EST - **Afternoon Session:** 2:30 PM - 3:55 PM EST This avoids choppy midday price action and captures the highest volume periods. --- ### Input Parameters | Parameter | Default | Description | |-----------|---------|-------------| | Fast EMA | 9 | Fast moving average period | | Slow EMA | 21 | Slow moving average period | | Trend EMA | 200 | Long-term trend filter | | RSI Length | 14 | RSI calculation period | | RSI Overbought | 65 | Upper RSI threshold | | RSI Oversold | 35 | Lower RSI threshold | | Volume Multiplier | 1.2x | Volume spike detection threshold | | Min Signal Strength | 4 | Minimum score required to trigger | | Crossover Lookback | 3 | Bars to consider crossover "recent" | | Min Bars Between Signals | 5 | Cooldown period between signals | --- ### Visual Elements **Chart Plots:** - Green line: 9 EMA (fast) - Red line: 21 EMA (slow) - Gray line: 200 EMA (trend) - Purple dots: VWAP **Signal Markers:** - Green triangle up + "CALL" label: Buy call signal - Red triangle down + "PUT" label: Buy put signal - Small circles: EMA crossover reference points **Info Table (Top Right):** - Real-time CALL and PUT scores - RSI, MACD, Stochastic values - VWAP and 200 EMA position - Recent crossover status - Current signal state --- ### Alerts | Alert Name | Trigger | |------------|---------| | CALL Entry | Standard call signal fires | | PUT Entry | Standard put signal fires | | Strong CALL | Call signal with score ≥ 6 | | Strong PUT | Put signal with score ≥ 6 | --- ### Recommended Usage | Setting | 0DTE Scalping | Intraday Swings | |---------|---------------|-----------------| | Timeframe | 1-2 min | 5 min | | Min Signal Strength | 5-6 | 4 | | ATR Stop Mult | 1.0 | 1.5 | | ATR TP Mult | 1.5 | 2.0 | | Option Delta | 0.40-0.50 | 0.30-0.40 | --- ### Key Improvements Over v1 1. **Requires actual crossover** - Eliminates false signals from simple trend continuation 2. **Balanced scoring** - Both directions evaluated equally, highest score wins 3. **Signal cooldown** - Prevents overtrading with minimum bar spacing 4. **Multi-indicator confluence** - 8 factors must align for signal generation 5. **Volume-candle alignment** - Volume spikes only count when matching candle direction --- ### Disclaimer This strategy is for educational purposes. Backtest thoroughly before live trading. Options trading involves significant risk of loss. Past performance does not guarantee future results.
Pine Script® strategy
by hakan_gul_79