Auf geht's

Forecasting

OPTIMISED FOR 15Min on certain FOREX Ichimoku & Friends Strategy Timeframe 15-Minute Chart Entry Rules Required Conditions ALL Must Be True For LONG Entries: Trend: Price is above EMA 200 (purple line) Ichimoku: Tenkan (blue) is above Kijun (red) Price Position: Close is above BOTH Tenkan AND Kijun ADX: Must be above 22 (shows strong trend) RSI: Between 50 and 70 (has momentum, not overbought) Cooldown: At least 12 bars since last trade closed For SHORT Entries: Trend: Price is below EMA 200 (purple line) Ichimoku: Tenkan (blue) is below Kijun (red) Price Position: Close is below BOTH Tenkan AND Kijun ADX: Must be above 22 (shows strong trend) RSI: Between 30 and 50 (has momentum, not oversold) Cooldown: At least 12 bars since last trade closed Entry Signals Any ONE of These Signal Type 1: Cross (C) Long: Tenkan crosses above Kijun AND price closes above Kijun Short: Tenkan crosses below Kijun AND price closes below Kijun Wait 1 bar to confirm the cross holds Signal Type 2: Bounce (B) - Most Reliable Long: Price touches/dips to Kijun, then bounces up with strong bullish candle Short: Price touches/spikes to Kijun, then rejects down with strong bearish candle Must occur within last 3 bars Signal Type 3: Breakout (K) Long: Price breaks above Kijun with strong bullish momentum candle Short: Price breaks below Kijun with strong bearish momentum candle Candle body must be at least 40% of ATR Risk Management Stop Loss Placement Placed at the lower of: Recent swing low (last 5 bars) for longs Kijun minus 0.5 ATR for longs Minimum distance: 2.5 x ATR FOR SHORTS: Mirror logic using swing highs Take Profit 2x the stop loss distance Example: If stop is 20 pips away, target is 40 pips Position Size 100% of equity per trade (as per current settings) Adjust based on your risk tolerance Trade Management When to Enter Only when ALL entry conditions are met Check that background is shaded (green for long, red for short) Small letter markers (C, B, K) show which signal type triggered When to Exit Take Profit hit (2x R:R ratio) Stop Loss hit (smart placement protects capital) Strategy closes position (conditions reverse) Cooldown Period Wait 12 bars (3 hours on 15m chart) after any trade closes Prevents revenge trading and overtrading Visual Indicators on Chart Lines Blue (Tenkan): 9-period conversion line Red (Kijun): 26-period base line Purple (EMA 200): Long-term trend line Orange (EMA 50): Not used in current rules Signals Large Green Triangle Up: LONG entry Large Red Triangle Down: SHORT entry Small Letters (C/B/K): Which signal type triggered Background Colors Light Green: Conditions favorable for LONG (ADX good, uptrend) Light Red: Conditions favorable for SHORT (ADX good, downtrend) No Color: Not safe to trade Top Right Display ADX Value: Green = above threshold, Red = below Win Rate: Shows current performance Quick Checklist Before Entry LONG Trade Checklist: Price above purple EMA 200 Blue line above red line Price above both blue AND red lines ADX number is green (above 22) RSI between 50-70 Background is light green At least 12 bars since last trade Signal marker appeared (triangle or letter) SHORT Trade Checklist: Price below purple EMA 200 Blue line below red line Price below both blue AND red lines ADX number is green (above 22) RSI between 30-50 Background is light red At least 12 bars since last trade Signal marker appeared (triangle or letter) Tips for Success Best Signal Type: Bounce (B) signals typically have highest win rate ADX is Critical: Do not trade when ADX is red - wait for trends Be Patient: 2-3 trades per day on 15m is normal and healthy Trust the System: Do not second-guess the signals Respect Cooldown: Waiting prevents emotional trading Monitor Win Rate: Keep above 50% for profitability with 2:1 R:R Adjustable Settings If you want to modify strategy performance: For Higher Win Rate Fewer Trades: Increase "Minimum ADX" to 25 Increase "Cooldown Bars" to 15 Turn OFF breakout signals For More Trades Slightly Lower Win Rate: Decrease "Minimum ADX" to 20 Decrease "Cooldown Bars" to 8 Keep all signal types enabled For Better Risk:Reward: Increase "Risk:Reward Ratio" to 2.5 or 3.0 This means bigger targets, letting winners run more What NOT to Do Do not trade without ADX confirmation (when number is red) Do not enter during cooldown period Do not trade when price is chopping around EMA 200 Do not override the stop loss - let it work Do not take signals when Tenkan and Kijun are flat/parallel Do not force trades - wait for all conditions Do not trade if you see no background shading Notes Current Performance: 67% win rate (2/3 trades) Timeframe: 15-minute (3 hours = 12 bars cooldown) Profit Factor Target: Above 1.5 is excellent Strategy works best during: European and US trading sessions when volatility is higher DYOR NFA
Pine Script® Strategie
von hushedDiamond97573
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® Strategie
von amart24
12M Return Strategy This strategy is based on the original Dual Momentum concept presented by Gary Antonacci in his book “Dual Momentum Investing.” It implements the absolute momentum portion of the framework using a 12-month rate of change, combined with a moving-average filter for trend confirmation. The script automatically adapts the lookback period depending on chart timeframe, ensuring the return calculation always represents approximately one year, whether you are on daily, weekly, or monthly charts. How the Strategy Works 1. 12-Month Return Calculation The core signal is the 12-month price return, computed as: (Current Price ÷ Price from ~1 year ago) − 1 This return: Plots as a histogram Turns green when positive Turns red when negative The lookback adjusts automatically: 1D chart → 252 bars 1W chart → 52 bars 1M chart → 12 bars Other timeframes → estimated to approximate 1 calendar year 2. Trend Filter (Moving Average of Return) To smooth volatility and avoid noise, the strategy applies a moving average to the 12M return: Default length: 12 periods Plotted as a white line on the indicator panel This becomes the benchmark used for crossovers. 3. Trade Signals (Long / Short / Cash) Trades are generated using a simple crossover mechanism: Bullish Signal (Go Long) When: 12M Return crosses ABOVE its MA Action: Close short (if any) Enter long Bearish Signal (Go Short or Go Flat) When: 12M Return crosses BELOW its MA Action: If shorting is enabled → Enter short If shorting is disabled → Exit position and go to cash Shorting can be enabled or disabled with a single input switch. 4. Position Sizing The strategy uses: Percent of Equity position sizing You can specify the percentage of your portfolio to allocate (default 100%). No leverage is required, but the strategy supports it if your account settings allow. 5. Visual Signals To improve clarity, the strategy marks signals directly on the indicator panel: Green Up Arrows: return > MA Red Down Arrows: return < MA A status label shows the current mode: LONG SHORT CASH 6. Backtest-Ready This script is built as a full TradingView strategy, not just an indicator. This means you can: Run complete backtests View performance metrics Compare long-only vs long/short behavior Adjust inputs to tune the system It provides a clean, rule-driven interpretation of the classic absolute momentum approach. Inspired By: Gary Antonacci – Dual Momentum Investing This script reflects the absolute momentum side of Antonacci’s original research: Uses 12-month momentum (the most statistically validated lookback) Applies a trend-following overlay to control downside risk Recreates the classic signal structure used in academic studies It is a simplified, transparent version intended for practical use and educational clarity. Disclaimer This script is for educational and research purposes only. Historical performance does not guarantee future results. Always use proper risk management.
Pine Script® Strategie
von rahul_joshi_2
Cat Cushion Position SizingThis strategy is for people who don’t want to guess position size every time. It looks at how volatile the market is and then tells you how many units to hold so your risk per trade stays roughly the same – whether the chart is calm or crazy. What it does Measures how “shaky” the price is day by day (volatility) Blends recent volatility with a long-term average so it doesn’t overreact to one weird day Uses your Risk per Trade (%) setting to calculate how big your position should be Adds a buffer zone so it doesn’t trade every tiny wiggle and burn commissions Shows a small performance table on the chart: • Average annual return (from backtest) • Sharpe ratio • Average drawdown per trade • Current position size as % of equity How it thinks about risk When the market is calmer → volatility is lower → position size can be bigger When the market is wild → volatility is higher → position size becomes smaller You control the “spiciness” with: • Risk per Trade (%) – how much of your equity you’re willing to risk on each position • Change Sensitivity (%) – wider buffer = fewer trades, lower costs; tighter buffer = more frequent rebalancing Good use cases Index ETFs (e.g. AMEX:SPY , NASDAQ:ACWI ) or other liquid instruments People who: • Already have a direction/idea (bullish on the index long term) • Want the position sizing to adapt automatically with volatility • Prefer “set the rules, let it run” rather than staring at the screen Inputs to pay attention to Risk per Trade (%) • Conservative: ~1–2% • Balanced: ~3–4% • Aggressive: 5%+ (handle with care) Important notes This is a position sizing / risk strategy, not a magical “always win” tool Works best when combined with: • A clear idea of what you want to trade (e.g. broad index ETFs) • A realistic risk profile (don’t just max the risk because the backtest looks better) Backtest results are not a promise of future returns Educational use only – this is not financial advice. Please test on your own, tweak to your comfort level, and don’t bet the rent money 😉 If you like systematic, “low-drama” investing (and want to spend more time chilling like a cat 🐱), this script helps the math side stay under control in the background.
Pine Script® Strategie
von Longtoonmaew
1
BTC Mon 8am Buy / Wed 2pm Sell (NY Time, Daily + Intraday)This strategy implements a fixed weekly time-based trading schedule for Bitcoin, using New York market hours as the reference clock. It is designed to test whether a consistent pattern exists between early-week accumulation and mid-week distribution in BTC price behavior. Entry Rule — Monday 8:00 AM (NY Time) The strategy enters a long position every Monday at exactly 08:00 AM Eastern Time, one hour after the U.S. equities market pre-open activity begins influencing global liquidity. This timing attempts to capture early-week directional moves in Bitcoin, which sometimes occur as traditional markets come online. Exit Rule — Wednesday 2:00 PM (NY Time) The strategy closes the position every Wednesday at 2:00 PM Eastern Time, a point in the week where: U.S. equity markets are still open BTC often experiences mid-week volatility rotations Liquidity is generally high This exit removes exposure before later-week uncertainty and gives a consistent, measurable time window for each trade. Timeframe Compatibility Works on intraday charts (recommended 1h or lower) using precise time-based triggers. Also runs on daily charts, where entries and exits occur on the Monday and Wednesday bars respectively (daily charts cannot show intraday timestamps). All timestamps are synced to America/New_York regardless of the exchange’s native timezone. Trading Frequency Exactly one trade per week, preventing overtrading and allowing comparison of weekly performance across years of historical BTC price data. Purpose of the Strategy This is not a value-based or trend-following system, but a behavioral/time-cycle analysis tool. It helps evaluate whether a repeating short-term edge exists based solely on: Weekday timing Liquidity cycles Institutional market influence BTC’s habitual early-week momentum patterns It is ideal for: Backtesting weekly BTC behavior Studying time-based edges Comparing alternative weekday/time combinations Visualizing weekly P&L structure Risk Notes This strategy does not attempt to predict price direction and should not be assumed profitable without robust backtesting. Time-based edges can appear, disappear, or invert depending on macro conditions. There is no stop loss or risk management included by default, so the strategy reflects raw timing-based performance.
Pine Script® Strategie
von hbayatne
Empire OS Automated Trading • Institutional-grade executionEmpire OS – 9/40 EMA Dynamic Momentum Strategy This strategy isn’t just EMAs — it’s a dynamic entry and exit system built around real-time price behavior. The 9/40 EMA setup gives the base trend direction, and the internal engine calculates every entry, stop, and target using recent price action and a 14-ATR volatility model. Everything adjusts automatically: • Entries react to momentum shifts based on the 9/40 EMA separation • Stops tighten or widen based on the current 14-ATR reading • Targets scale with real market volatility (not fixed numbers) • Risk-to-Reward is calculated on the fly for cleaner, stronger trades • Exits are based on structure + volatility, not random lines Most strategies use fixed stops, fixed R:R, or standard EMA pairs that anyone can copy. This one adapts to the market in real time — making every trade unique to current conditions. It’s rare because almost nobody builds a retail strategy that: Uses a non-standard 9/40 EMA combo Calculates stops + targets off real volatility Adjusts risk reward based on live price activity Filters entries through momentum AND price structure Keeps drawdown tight while catching high-quality moves This is the official Empire OS version — built for consistency, momentum accuracy, and prop-firm scalability.
Pine Script® Strategie
von Empire-OS-Trading
QQQ Quant Power STRATEGY v13.3 (Ribbon + TQQQ Specs)1. The Quant Engine (Data Processing) Weighted Scoring: It assigns specific weights to stocks (e.g., NVDA gets 8.5% weight, TXN gets 1.0%). Z-Score Pressure: It calculates how "unusual" the current buying/selling pressure is compared to the average (Standard Deviation). Alignment Bonus: It boosts the "Conviction Score" if Mega Caps (Top 8) and Large Caps (Next 12) are moving in the same direction. 2. The Dashboard (Mission Control) The dashboard gives you an X-Ray view of the market: Main Status: Tells you if the market is BULLISH, BEARISH, or CHOP (Sit Out). Conviction %: A probability score (0-99%). Higher = Safer trade. Breadth: Counts how many of the top 20 stocks are above their EMA. Chop Logic: If Breadth is mixed (between 6 and 14 stocks above EMA), it declares "CHOP" and blocks trades. Mega/Large Net: Shows the net buying/selling pressure for each group. 3. Visuals Pressure Line: The line on the chart isn't just a Moving Average; it's the Net Pressure of the 20 stocks pushing price up or down. Conviction Ribbon: The squares at the bottom of the screen. 🟩 Green: High Probability Long (>77%). 🟥 Red: High Probability Short (>77%). ⬜ Gray: Low Conviction / Holding. 4. Strategy Logic (Automated Trading) Entry: Enters when the "Basket" of stocks is aligned (Bull/Bear Pressure) AND the Conviction Score is high (>77%). Exit: Closes the trade if Conviction drops (Signal fades) or hits a Hard Stop Loss. Time Filters: Includes strict trading windows (e.g., No trading during lunch 12-1pm, closes all positions on Friday). Summary This is a Market Breadth & Momentum Strategy. It assumes that QQQ cannot sustain a trend unless its underlying components (NVDA, AAPL, etc.) are pushing it. It filters out "fake moves" where QQQ moves but the components don't support it.
Pine Script® Strategie
von CustomQuantLabs
1
SSL ST Strategy – Accuracy Enhanced v2.0 (Parser Safe)This strategy is built to identify high-probability trend breakouts using a combination of SSL Channel, Baseline, Hull / EMA signals, and Candle-based confirmations. The goal is to filter noise, avoid false breakouts, and enter only when the trend is truly shifting. This strategy identifies high-probability trend breakouts using SSL Channel, Baseline, Hull/EMA, and candle confirmations. 1. SSL shows trend shift when price breaks high/low levels. 2. Baseline filters direction (price above = buy bias, below = sell bias). 3. Hull/EMA gives early momentum confirmation. 4. Candle breakout ensures real momentum (breaks previous high/low). 5. Optional filters: ATR, reversal logic, continuation entries. 6. Exits occur on SSL flip, baseline cross, or weakness Disclaimer This strategy is provided strictly for educational and informational purposes only. It does not guarantee any profit, nor does it protect against losses of any kind. Financial markets are inherently unpredictable, and any market movement can only be assumed or estimated with a probability that is never guaranteed and can often be no better than a 50/50 chance. By using this strategy, you acknowledge that all trading decisions are made solely at your own risk. I am not liable for any profits, losses, or financial consequences incurred by anyone using or relying on this strategy. Always perform your own research, manage your risk responsibly, and consult with a qualified financial advisor before trading.
Pine Script® Strategie
von vinodkummarnair
1
Liquidity Sweep & FVG StrategyThis strategy combines higher-timeframe liquidity levels, stop-hunt (sweep) logic, Fair Value Gaps (FVGs) and structure-based take-profits into a single execution engine. It is not a simple mash-up of indicators: every module (HTF levels, sweeps, FVGs, ZigZag, sessions) feeds the same entry/exit logic. 1. Core Idea The script looks for situations where price: Sweeps a higher-timeframe high/low (takes liquidity around obvious levels), Then forms a displacement candle with a gap (FVG) in the opposite direction, Then uses the edge of that FVG as a limit entry, And manages exits using unswept structural levels (ZigZag swings or HTF levels) as targets. The intent is to systematically trade failed breakouts / stop hunts with a defined structure and risk model. It is a backtesting / study tool, not a signal service. 2. How the Logic Works (Conceptual) a) Higher-Timeframe Liquidity Engine Daily, Weekly and Monthly highs/lows are pulled via request.security() and stored as HTF liquidity levels. Each level is drawn as a line with optional label (1D/1W/1M High/Low). A level is marked as “swept” once price trades through it; swept levels may be removed or shortened depending on settings. b) Sweep & Manipulation Filter A low sweep occurs when the current low trades through a stored HTF low. A high sweep occurs when the current high trades through a stored HTF high. If both a high and a low are swept in the same bar, the script flags this as “manipulation” and blocks new entries around that noise. The script also tracks the sweep wick, bar index and HTF timeframe for later use in SL placement and labels. c) FVG Detection & Management FVGs are defined using a 3-candle displacement model: Bullish FVG: high < low Bearish FVG: low > high Only gaps larger than a minimum size (ATR-based if no manual value is set) are kept. FVGs are stored in arrays as boxes with: top, bottom, mid (CE), direction, and state (filled / reclaimed). Boxes are auto-extended and visually faded when price is far away, or deleted when filled. d) Entry Conditions (Sweep + FVG) For each recent sweep window: After a low sweep, the script searches for the nearest bullish FVG below price and uses its top edge as a long limit entry. After a high sweep, it searches for the nearest bearish FVG above price and uses its bottom edge as a short limit entry. A “knife protection” check blocks trades where price is already trading through the proposed stop. Only one entry per sweep is allowed; entries are only placed inside the configured NY trading sessions and only if no manipulation flag is active and EOD protection allows it. e) Stop-Loss Placement (“Tick-Free” SL) The stop is not placed directly on the HTF level; instead, the script scans a window around the sweep bar to find a local extreme: Longs: lowest low in a configurable bar window around the sweep. Shorts: highest high in that window. This produces a structure-based SL that is generally outside the main sweep wick. f) Take-Profit Logic (ZigZag + HTF Levels) A lightweight ZigZag engine tracks swing highs/lows and removes levels that have already been broken. For intraday timeframes (< 1h), TP candidates come from unswept ZigZag swings above/below the entry. For higher timeframes (≥ 1h), TP candidates fall back to unswept HTF liquidity levels. The script picks up to two targets: TP1: nearest valid target in the trade direction (or a 2R fallback if none exists), TP2: second target (or a 4R fallback if none exists). A multi-TP model is used: typically 50% at TP1, remainder managed towards TP2 with breakeven plus offset once TP1 is hit. g) Session & End-of-Day Filters Three predefined NY sessions (Early, Open, Afternoon) are available; entries are only allowed inside active sessions. An End-of-Day filter checks a user-defined NY close time and: Blocks new entries close to the end of the day, Optionally forces flat before the close. 3. Inputs Overview (Conceptual) Liquidity settings: which HTF levels to track (1D/1W/1M), how many to show, and sweep priority (highest TF vs nearest vs any). FVG settings: visibility radius, search window after a sweep, minimum FVG size. ZigZag settings: swing length used for TP discovery. Execution & protection: limit order timeout, breakeven offset, EOD protection. Visuals: labels, sweep markers, manipulation warning, session highlighting, TP lines, etc. For exact meaning of each input, please refer to the inline comments in the open-source code. 4. Strategy Properties & Backtesting Notes Default strategy properties in this script: Initial capital: 100,000 Order size: 10% of equity (strategy.percent_of_equity) Commission: 0.01% per trade (adjust as needed for your broker/asset) Slippage: must be set manually in the Strategy Tester (recommended: at least a few ticks on fast markets). Even though the order size is 10% of equity, actual risk per trade depends on the SL distance and is typically much lower than 10% of the account. You should still adjust these values to keep risk within what you personally consider sustainable (e.g. somewhere in the 1–2% range per trade). For more meaningful results: Test on liquid instruments (e.g. major indices, FX, or liquid futures). Use enough history to reach 100+ closed trades on your market/timeframe. Always include realistic commission and slippage. Do not assume that past performance will continue. 5. How to Use Apply the strategy to your preferred symbol and timeframe. Set broker-like commission and slippage in the Strategy Tester. Adjust: HTF levels (1D/1W/1M), Sessions (NY windows), FVG search window and minimum size, ZigZag length and EOD filter. Observe how entries only appear: After a HTF sweep, In the configured session, At a FVG edge, With TP lines anchored at unswept structure / liquidity. Use this primarily as a research and backtesting tool to study how your own ICT / SMC ideas behave over a large sample of trades. 6. Disclaimer This script is for educational and research purposes only. It does not constitute financial advice, and it does not guarantee profitability. Always validate results with realistic assumptions and use your own judgment before trading live.
Pine Script® Strategie
von mehmettopbas_
Simplified WMA Ribbon · Majority Rule StrategyThis strategy is a simplified WMA-ribbon “majority rule” system. It compares five fast WMAs (10–30) with five slow WMAs (70–90) and counts how many bullish or bearish pairs are strongly separated by a small ε-buffer. A long (short) position is opened only when a bullish (bearish) majority is reached and closed when that majority weakens or an opposite majority appears. Position size is calculated from a fixed USD amount and leverage, candles are colored by current position, and a mini dashboard shows the number of bullish/bearish pairs and the current status (LONG / SHORT / FLAT).
Pine Script® Strategie
von yulche02
GraalSTRATEGY DESCRIPTION — “GRAAL” GRAAL is an advanced algorithmic crypto-trading strategy designed for trend and semi-trend market conditions. It combines ATR-based trend/flat detection, dynamic Stop-Loss and multi-level Take-Profit, break-even (BE) logic, an optional trailing stop, and a “lock-on-trend” mechanism to hold positions until the market structure truly reverses. The strategy is optimized for Binance, OKX and Bybit (USDT-M and USDC-M futures), but can also be used on spot as an indicator. Core Logic Trend Detection — dynamic trend zones built using ATR and local high/low structure. Entry Logic — positions are opened only after trend confirmation and a momentum-based local trigger. Exit Logic: fixed TP levels (TP1/TP2/TP3), dynamic ATR-based SL, break-even move after TP1 or TP2, optional trailing stop. Lock-on-Trend — positions remain open until an opposite trend signal appears. Noise Protection — flat filter disables entries during low-volatility conditions. Key Advantages Sophisticated and reliable risk-management system. Minimal false entries due to robust trend filtering. Optional trailing logic to maximize profit during strong directional moves. Works well on BTC, ETH and major altcoins. Easily adaptable for various timeframes (1m–4h). Supports full automation via OKX / WunderTrading / 3Commas JSON alerts. Recommended Use Cases Crypto futures (USDT-M / USDC-M). Intraday trading (5m–15m–1h). Swing trading (4h–1D). Fully automated signal-bot execution. Important Notes This is an algorithmic strategy, not financial advice. Strategy Tester performance may differ from real execution due to liquidity, slippage and fees. Always backtest and optimize parameters for your specific market and asset. Recommended Settings: LONG only, no TP, no SL, Flat Policy: Hold, TP3 Mode: Trend, Trailing Stop 1.2%, Fixed size 100 USD, Leverage 10×, ATR=14, HH/LL=36.
Pine Script® Strategie
von yulche02
EMA Trend Pro [Hedging & Fixed Risk] This strategy is a comprehensive trend-following system designed to capture significant market movements while strictly managing risk. It combines multiple Exponential Moving Averages (EMAs) for trend identification, ADX for trend strength filtering, and Volume confirmation to reduce false signals. Key Features: Hedging Mode Compatible: The script is designed to handle Long and Short positions independently. This is ideal for markets where trends can reverse quickly or for traders who prefer hedging logic (requires hedging=true in strategy settings). Professional Risk Management: Unlike standard strategies that use fixed contract sizes, this script calculates Position Size based on Risk. You can define a fixed risk per trade (e.g., 1% of equity or $100 fixed risk). The script automatically adjusts the lot size based on the Stop Loss distance (ATR). Multi-Stage Take Profit: The strategy scales out positions at 3 different levels (TP1, TP2, TP3) to lock in profits while letting the remaining position ride the trend. Strategy Logic: Trend Identification: Long Entry: EMA 7 > EMA 14 > EMA 21 > EMA 144 (Bullish Alignment). Short Entry: EMA 7 < EMA 14 < EMA 21 < EMA 144 (Bearish Alignment). Filters: ADX Filter: Entries are only taken if ADX (14) > Threshold (default 20) to ensure the market is trending, avoiding chopping ranging markets. Volume Filter: Current volume must exceed the 20-period SMA volume by 10% to confirm momentum. Exits & Trade Management: Stop Loss: Dynamic SL based on ATR (e.g., 1.8x ATR). Breakeven: Once TP1 is hit, the Stop Loss is automatically moved to Breakeven to protect capital. Take Profits: TP1: 1x Risk Distance (30% pos) TP2: 2x Risk Distance (50% pos) TP3: 3x Risk Distance (Remaining pos) Settings Guide: Risk Type: Choose between "Percent" (of equity) or "Fixed Amount" (USD). Risk Value: Input your desired risk (e.g., 1.0 for 1% risk). Fee %: Set your exchange's Taker fee (e.g., 0.05 or 0.06) for accurate backtesting. ADX Threshold: Adjust to filter out noise (Higher = Stricter trend requirement). Disclaimer: This script is for educational and backtesting purposes only. Past performance does not guarantee future results. Please use proper risk management.
Pine Script® Strategie
von misusu
STRATEGY 1 │ Red Dragon │ Model 1 │ [Titans_Invest]The Red Dragon Model 1 is a fully automated trading strategy designed to operate BTC/USDT.P on the 4-hour chart with precision, stability, and consistency. It was built to deliver reliable behavior even during strong market movements, maintaining operational discipline and avoiding abrupt variations that could interfere with the trader’s decision-making. Its core is based on a professionally engineered logical structure that combines trend filters, confirmation criteria, and balanced risk management. Every component was designed to work in an integrated way, eliminating noise, avoiding unnecessary trades, and protecting capital in critical moments. There are no secret mechanisms or hidden logic: everything is built to be objective, clean, and efficient. Even though it is based on professional quantitative engineering, Red Dragon Model 1 remains extremely simple to operate. All logic is clearly displayed and fully accessible within TradingView itself, making it easy to understand for both beginners and experienced traders. The structure is organized so that any user can quickly view entry conditions, exit criteria, additional filters, adjustable parameters, and the full mechanics behind the strategy’s behavior. In addition, the architecture was built to minimize unnecessary complexity. Parameters are straightforward, intuitive, and operate in a balanced way without requiring deep adjustments or advanced knowledge. Traders have full freedom to analyze the strategy, understand the logic, and make personal adaptations if desired—always with total transparency inside TradingView. The strategy was also designed to deliver consistent operational behavior over the long term. Its confirmation criteria reduce impulsive trades; its filters isolate noise; and its overall logic prioritizes high-quality entries in structured market movements. The goal is to provide a stable, clear, and repeatable flow—essential characteristics for any medium-term quantitative approach. Combining clarity, professional structure, and ease of use, Red Dragon Model 1 offers a solid foundation both for users who want a ready-to-use automated strategy and for those looking to study quantitative models in greater depth. This entire project was built with extreme dedication, backed by more than 14,000 hours of hands-on experience in Pine Script, continuously refining patterns, techniques, and structures until reaching its current level of maturity. Every line of code reflects this long process of improvement, resulting in a strategy that unites professional engineering, transparency, accessibility, and reliable execution. 🔶 MAIN FEATURES • Fully automated and robust: Operates without manual intervention, ideal for traders seeking consistency and stability. It delivers reliable performance even in volatile markets thanks to the solid quantitative engineering behind the system. • Multiple layers of confirmation: Combines 10 key technical indicators with 15 adaptive filters to avoid false signals. It only triggers entries when all trend, market strength, and contextual criteria align. • Configurable and adaptable filters: Each of the 15 filters can be enabled, disabled, or adjusted by the user, allowing the creation of personalized statistical models for different assets and timeframes. This flexibility gives full freedom to optimize the strategy according to individual preferences. • Clear and accessible logic: All entry and exit conditions are explicitly shown within the TradingView parameters. The strategy has no hidden components—any user can quickly analyze and understand each part of the system. • Integrated exclusive tools: Includes complete backtest tables (desktop and mobile versions) with annualized statistics, along with real-time entry conditions displayed directly on the chart. These tools help monitor the strategy across devices and track performance and risk metrics. • No repaint: All signals are static and do not change after being plotted. This ensures the trader can trust every entry shown without worrying about indicators rewriting past values. 🔷 ENTRY CONDITIONS & RISK MANAGEMENT Red Dragon Model 1 triggers buy (long) or sell (short) signals only when all configured conditions are satisfied. For example: • Volume: • The system only trades when current volume exceeds the volume moving average multiplied by a user-defined factor, indicating meaningful market participation. • RSI: • Confirms bullish bias when RSI crosses above its moving average, and bearish bias when crossing below. • ADX: • Enters long when +DI is above –DI with ADX above a defined threshold, indicating directional strength to the upside (and the opposite conditions for shorts). • Other indicators (MACD, SAR, Ichimoku, Support/Resistance, etc.) Each one must confirm the expected direction before a final signal is allowed. When all bullish criteria are met simultaneously, the system enters Long; when all criteria indicate a bearish environment, the system enters Short. In addition, the strategy uses fixed Take Profit and Stop Loss targets for risk control: Currently: TP around 1.5% and SL around 2.0% per trade, ensuring consistent and transparent risk management on every position. ⚙️ INDICATORS __________________________________________________________   1) 🔊 Volume: Avoids trading on flat charts.   2) 🍟 MACD: Tracks momentum through moving averages.   3) 🧲 RSI: Indicates overbought or oversold conditions.   4) 🅰️ ADX: Measures trend strength and potential entry points.   5) 🥊 SAR: Identifies changes in price direction.   6) ☁️ Cloud: Accurately detects changes in market trends.   7) 🌡️ R/F: Improves trend visualization and helps avoid pitfalls.   8) 📐 S/R: Fixed support and resistance levels.   9)╭╯MA: Moving Averages. 10) 🔮 LR: Forecasting using Linear Regression. __________________________________________________________ 🟢 ENTRY CONDITIONS 🔴 __________________________________________________________ IF all conditions are 🟢 = 📈 Long IF all conditions are 🔴 = 📉 Short __________________________________________________________ 🚨 CURRENT TRIGGER SIGNAL 🚨 __________________________________________________________ 🔊 Volume 🟢 LONG  = (volume) > (MA_volume) * (Volume Mult) 🔴 SHORT = (volume) > (MA_volume) * (Volume Mult) 🧲 RSI 🟢 LONG  = (RSI) > (RSI_MA) 🔴 SHORT = (RSI) < (RSI_MA) 🟢 ALL ENTRY CONDITIONS AVAILABLE 🔴 __________________________________________________________ 🔊 Volume 🟢 LONG  = (volume) > (MA_volume) * (Volume Mult) 🔴 SHORT = (volume) > (MA_volume) * (Volume Mult) 🔊 Volume 🟢 LONG  = (volume) > (MA_volume) * (Volume Mult) and (close) > (open) 🔴 SHORT = (volume) > (MA_volume) * (Volume Mult) and (close) < (open) 🍟 MACD 🟢 LONG  = (MACD) > (Signal Smoothing) 🔴 SHORT = (MACD) < (Signal Smoothing) 🧲 RSI 🟢 LONG  = (RSI) < (Upper) 🔴 SHORT = (RSI) > (Lower) 🧲 RSI 🟢 LONG  = (RSI) > (RSI_MA) 🔴 SHORT = (RSI) < (RSI_MA) 🅰️ ADX 🟢 LONG  = (+DI) > (-DI) and (ADX) > (Treshold) 🔴 SHORT = (+DI) < (-DI) and (ADX) > (Treshold) 🥊 SAR 🟢 LONG  = (close) > (SAR) 🔴 SHORT = (close) < (SAR) ☁️ Cloud 🟢 LONG  = (Cloud A) > (Cloud B) 🔴 SHORT = (Cloud A) < (Cloud B) ☁️ Cloud 🟢 LONG  = (Kama) > (Kama ) 🔴 SHORT = (Kama) < (Kama ) 🌡️ R/F 🟢 LONG  = (high) > (UP Range)      and (upward)     > (0) 🔴 SHORT = (low) < (DOWN Range) and (downward) > (0) 🌡️ R/F 🟢 LONG  = (high) > (UP Range) 🔴 SHORT = (low) < (DOWN Range) 📐 S/R 🟢 LONG  = (close) > (Resistance) 🔴 SHORT = (close) < (Support) ╭╯MA2️⃣ 🟢 LONG  = (Cyan Bar MA2️⃣) 🔴 SHORT = (Red Bar MA2️⃣) ╭╯MA2️⃣ 🟢 LONG  = (close) > (MA2️⃣) 🔴 SHORT = (close) < (MA2️⃣) ╭╯MA2️⃣ 🟢 LONG  = (Positive MA2️⃣) 🔴 SHORT = (Negative MA2️⃣) __________________________________________________________ 🎯 TP / SL 🛑 __________________________________________________________ 🎯 TP: 1.5 ％ 🛑 SL:  2.0 ％ __________________________________________________________ 🪄 UNIQUE FEATURES OF THIS STRATEGY ____________________________________ 1)   𝄜  Table Backtest for Mobile. 2)   𝄜  Table Backtest for Computer. 3)   𝄜  Table Backtest for Computer & Annual Performance. 4)   𝄜  Live Entry Conditions. 1)   𝄜  Table Backtest for Mobile. 2)   𝄜  Table Backtest for Computer. 3)   𝄜  Table Backtest for Computer & Annual Performance. 4)   𝄜  Live Entry Conditions. _____________________________ 𝄜  BACKTEST / PERFORMANCE 𝄜 _____________________________ • Net Profit: +634.47%, Maximum Drawdown: -18.44%. 🪙 PAIR / TIMEFRAME ⏳ 🪙 PAIR: BINANCE:BTCUSDT.P ⏳ TIME: 4 hours (240m) ✅ ON ☑️ OFF ✅ LONG ✅ SHORT 🎯 TP / SL 🛑 🎯 TP: 1.5 (％) 🛑 SL:  2.0 (％) ⚙️ CAPITAL MANAGEMENT 💸 Initial Capital: 10000 $ (TradingView) 💲 Order Size:      10 ％     (Of Equity) 🚀 Leverage:        10 x       (Exchange) 💩 Commission:    0.03 ％  (Exchange) 📆 BACKTEST 🗓️ Start: Setember 24, 2019 🗓️ End:   November 21, 2025 🗓️ Days:  2250 🗓️ Yers:   6.17 🗓️ Bars:  13502 📊 PERFORMANCE 💲 Net Profit:                 + 63446.89 $ 🟢 Net Profit:                 + 634.47 ％ 💲 DrawDown Maximum: - 10727.48 $ 🔴 DrawDown Maximum: - 18.44 ％ 🟢 Total Closed Trades:     1042 🟡 Percent Profitable:       63.92 ％ 🟡 Profit Factor:               1.247 💲 Avg Trade:                 + 60.89 $ ⏱️ Avg # Bars in Trades 🕯️ Avg # Bars: 4 ⏳ Avg # Hrs:  15 ✔️ Trades Winning: 666 ❌ Trades Losing:    376 ✔️ Maximum Consecutive Wins:   11 ❌ Maximum Consecutive Losses: 7 📺 Live Performance : br.tradingview.com • Use this strategy on the recommended pair and timeframe above to replicate the tested results. • Feel free to experiment and explore other settings, assets, and timeframes.
Pine Script® Strategie
von Titans_Invest
Final Scalping Strategy - RELAXED ENTRY, jangan gopoh braderEMA Scalping System (MTF) Guide (1HR direction, 15 min entry) Objective To capture small, consistent profits by entering trades when 15-minute momentum aligns with the 1-hour trend. Trades are executed only during high-liquidity London and New York sessions to increase the probability of execution and success. Strategy Setup Chart Timeframe (Execution): 15-Minute (M15). Trend Filter (HTF): 1-Hour (H1) chart data is used for the long-term EMA. Long-Term Trend Filter: 50-Period EMA (based on H1 data). Short-Term Momentum Signal: 20-Period EMA (based on M15 data). Risk Metric: 14-period ATR for dynamic Stop Loss calculation. ✅ Trading Rules🟢 Long (Buy) Entry Conditions Session: Must be within the London (0800-1700 GMT) or New York (1300-2200 GMT) sessions. HTF Trend: Current price must be above the 1-Hour EMA 50. Momentum Signal: Price crosses above the 15-Minute EMA 20. Confirmation: The bar immediately following the crossover must close above the 15-Minute EMA 20. Ent ry: A market order is executed on the close of the confirmation candle. 🔴 Short (Sell) Entry Conditions Session: Must be within the London (0800-1700 GMT) or New York (1300-2200 GMT) sessions. HTF Trend: Current price must be below the 1-Hour EMA 50. Momentum Signal: Price crosses below the 15-Minute EMA 20. Confirmation: The bar immediately following the crossover must close below the 15-Minute EMA 20. Entry: A market order is executed on the close of the confirmation candle. 🛑 Trade Management & Exits Stop Loss (SL): Placed dynamically at 2.0 times the 14-period ATR distance from the entry candle's low (for Buys) or high (for Sells). Take Profit (TP): Placed dynamically to achieve a 1.5 Risk-Reward Ratio (RR) (TP distance = 1.5 x SL d istance). 📊 On-Chart Visuals Detailed Labels: A box appears on the entry bar showing the action, SL/TP prices, Risk/Reward in Pips, and the exact R:R ratio. Horizontal Lines: Dashed lines display the calculated SL (Red) and TP (Green) levels while the trade is active. Background: The chart background is shaded to highlight the active London and New York tradi ng sessions.
Pine Script® Strategie
von hushedDiamond97573
Adaptive Cortex Strategy (ACS)Strategy Title: Adaptive Cortex Strategy (ACS) This script is invite-only. Part 1: Philosophy and the Fundamental Problem It Solves Adaptive Cortex Strategy (ACS) is an advanced decision support system designed to dynamically adapt to the ever-changing characteristics of the market. A major weakness of traditional approaches is that while successful in a specific market condition (e.g., a strong trend), they become ineffective when the market changes course (e.g., enters a sideways range). ACS solves this problem by continuously analyzing the market's current "regime" and instantly adapting its decision-making logic accordingly. Its primary goal is to enable the strategy itself to "think" and evolve with the market, without requiring the trader to change their strategy. Part 2: Original Methodology and Proprietary Logic A Note on the Original Methodology and Intellectual Property This algorithm is not based on or copied from any open-source strategy code. The system utilizes the mathematical principles of widely accepted indicators such as ADX, RSI, and Ichimoku as data sources for its analyses. However, the intellectual property and unique value of the algorithm lies in its unique and closed-source architecture that processes, prioritizes, and synthesizes data from these standard tools. The methods used in core components, particularly the adaptive 'Cortex' memory system and statistical 'Forecast' engine, represent a unique set of logic developed from scratch for this script. The parameters, order of operations, and conditional logic are entirely custom-designed. Therefore, the system's performance is a result of its unique design, not a repetition of publicly available code. ACS's power lies not in the individual indicators it uses, but in the unique and proprietary logic layers that process the information from these indicators. 1. Multi-Factor Scoring and Adaptive Weighting: The heart of the methodology is a scoring system that analyzes the market in four main categories: Trend, Support/Resistance, Momentum, and Volume. However, what makes ACS unique is that it dynamically changes the importance it assigns to these categories based on the market regime. Unique Application: Using ADX, DMI, and ATR indicators, the system detects whether the market is in different regimes, such as "Strong Trend" or "High Volatility Squeeze." When it detects a strong trend, it automatically increases the weight of the Trend scores from the Ichimoku and proprietary AMF Trend Engine. When it detects sideways or tightness, it shifts its focus to Support/Resistance zones determined by Dynamic Channels and the author's "Cortex" Memory System. A different approach was added here, inspired by the classic Fibonacci estimation. This "adaptive weighting" ensures that the strategy always focuses its attention on the most appropriate area. 2. Statistical Forecast Engine: ACS goes beyond standard indicators and includes a proprietary forecasting algorithm that measures the probability of a potential price movement's success. Unique Implementation: The system stores the results of past tests (successful bounces/breakouts) at key price levels in a "brain" (memory). At the time of a new test, it compares the current RSI momentum, volume anomalies, and market regime with similar past situations. Based on this comparison, it calculates the probability of the current test being successful as a statistical percentage and adds this percentage to the final score as a "bonus" or "penalty." 3. Walk-Forward Architecture: Markets constantly evolve. ACS continues to learn from the latest market dynamics by resetting its memory at regular intervals (e.g., monthly) through its "Re-Learn Mode," rather than being trapped by old data. This is an advanced approach aimed at ensuring the strategy remains current and effective over the long term. Part 3: Practical Features and User Benefits HOW DOES IT HELP INVESTORS? Customizable Trading Profiles: ACS does not come with a single set of settings. Users can instantly adapt all the algorithm's key periods and decision thresholds to their trading style by selecting one of the pre-configured trading profiles, such as "SCALPING," "INTRADAY TREND," or "SWING TRADE." Additionally, they can further fine-tune the selected profile with "Speed ​​Adjustment." Full Automation Compatibility (JSON): The strategy is equipped with fully configurable JSON-formatted alert messages for buy, sell, and position closing transactions. This makes it possible to establish a fully automated trading system by connecting ACS signals to automation platforms such as 3Commas and PineConnector. Dynamic values ​​such as position size ({{strategy.order.contracts}}) are automatically added to alerts. Advanced and Adaptive Risk Management: Protecting capital is as important as making a profit. ACS offers a multi-layered risk management framework for this purpose: Flexible Position Size: Allows you to set the risk for each trade as a percentage of capital or a fixed dollar amount. Adaptive ATR Stop: The stop-loss level is dynamically expanded or contracted based on current market volatility (the ratio of short-term ATR to long-term ATR). Contingency Mechanisms: Includes safety nets such as "Maximum Drawdown Protection" and the "Praetorian Guard" engine, which detects sudden market shocks. Clear and Comprehensible Dashboard: Transforms dozens of complex data points into an intuitive dashboard that provides critical information such as market trends, major trends, support/resistance zones, and final signals at a glance. Section 4: Disclaimers and Rules Transparency Note: This algorithm uses the mathematical foundations of publicly available indicators such as ADX, ATR, RSI, and Ichimoku. However, ACS's intellectual property and unique value lies in its unique architecture, which combines data from these standard tools, prioritizes it by market trend, and synthesizes it with its proprietary "Cortex" and "Statistical Forecast" engines. Educational Use: IMPORTANT WARNING: The Adaptive Cortex Strategy is a professional decision support and analysis tool. It is NOT a system that promises "guaranteed profits." All trading activities involve the risk of capital loss. Past performance is no guarantee of future results. All signals and analysis generated by this script are for educational purposes only and should not be construed as investment advice. Users are solely responsible for applying their own risk management rules and making their final trading decisions. Strategy Backtest Information Please remember that past performance is not indicative of future results. The published chart and performance report were generated on the 4-hour timeframe of the BTC/USD pair with the following settings: Test Period: January 1, 2016 - November 2, 2025 Default Position Size: 15% of Capital Pyramiding: Closed Commission: 0.0008 Slippage: 2 ticks (Please enter the slippage you used in your own tests) Testing Approach: The published test includes 123 trades and is statistically significant. It is strongly recommended that you test on different assets and timeframes for your own analysis. The default settings are a template and should be adjusted by the user for their own analysis.
Pine Script® Strategie
von blntdmn
Buy&Hold Profitcalculator in EuroTitle: Buy & Hold Strategy in Euro Description: This Pine Script implements a simple yet flexible Buy & Hold strategy denominated in Euros, suitable for a wide range of assets including cryptocurrencies, forex pairs, and stocks. Key Features: Custom Investment Amount: Define your invested capital in Euros. Flexible Start & End Dates: Specify exact entry and exit dates for the strategy. Automatic Currency Conversion: Supports assets priced in USD or USDT, converting the invested capital to chart currency using the EUR/USD exchange rate. Single Entry and Exit: Executes a one-time Buy & Hold position based on the defined timeframe. Profit and Performance Tracking: Calculates total profit/loss in Euros and percentage returns. Smart Exit Label: Displays a dynamic label at the exit showing final position value, net profit/loss, and return percentage. The label automatically adjusts its position above or below the price bar for optimal visibility. Visual Enhancements: Position value and profit/loss plotted on the chart. Background color highlights the active investment period. Buy and Sell markers clearly indicate entry and exit points. This strategy is ideal for traders and investors looking to simulate long-term positions and evaluate performance in Euro terms, even when trading USD-denominated assets. Usage Notes: Best used on daily charts for medium- to long-term analysis. Adjust start and end dates, as well as invested capital, to simulate different scenarios. Works with any asset, but currency conversion is optimized for USD or USDT-pegged instruments.
Pine Script® Strategie
von TraderJoe53
US/SPY- Financial Regime Index Swing Strategy Credits: concept inspired by EdgeTools Bloomberg Financial Conditions Index (Proxy) Improvements: eight component basket, inverse volatility weights, winsorization option( statistical technique used to limit the influence of outliers in a dataset by replacing extreme values with less extreme ones, rather than removing them entirely), slope and price gates, exit guards, table and gradients. Summary in one paragraph A macro regime swing strategy for index ETFs, futures, FX majors, and large cap equities on daily calculation with optional lower time execution. It acts only when a composite Financial Conditions proxy plus slope and an optional price filter align. Originality comes from an eight component macro basket with inverse volatility weights and winsorized return z scores that produce a portable yardstick. Scope and intent Markets: SPY and peers, ES futures, ACWI, liquid FX majors, BTC, large cap equities. Timeframes: calculation daily by default, trade on any chart. Default demo: SPY on Daily. Purpose: convert broad financial conditions into clear swing bias and exits. Originality and usefulness Unique fusion: return z scores for eight liquid proxies with inverse volatility weighting and optional winsorization, then slope and price gates. Failure mode addressed: false starts in chop and early shorts during easy liquidity. Testability: all knobs are inputs and the table shows components and weights. Portable yardstick: z scores center at zero so thresholds transfer across symbols. Method overview in plain language Base measures Return basis: natural log return over a configurable window, standardized to a z score. Winsorization optional to cap extremes. Components EQ US and EQ GLB measure equity tone. CREDIT uses LQD over HYG. Higher credit quality outperformance is risk off so sign is flipped after z score. RATES2Y uses two year yield, sign flipped. SLOPE uses ten minus two year yield spread. USD uses DXY, sign flipped. VOL uses VIX, sign flipped. LIQ uses BIL over SPY, sign flipped. Each component is smoothed by the composite EMA. Fusion rule Weighted sum where weights are equal or inverse volatility with exponent gamma, normalized to percent so they sum to one. Signal rule Long when composite crosses up the long threshold and its slope is positive and price is above the SMA filter, or when composite is above the configured always long floor. Short when composite crosses down the short threshold and its slope is negative and price is below the SMA filter. Long exit on cross down of the long exit line or on a fresh short signal. Short exit on cross up of the short exit line or on a fresh long signal, or when composite falls below the force short exit guard. What you will see on the chart Markers on suggestion bars: L for long, S for short, LX and SX for exits. Reference lines at zero and soft regime bands at plus one and minus one. Optional background gradient by regime intensity. Compact table with component z, weight percent, and composite readout. Table fields and quick reading guide Component: EQ US, EQ GLB, CREDIT, RATES2Y, SLOPE, USD, VOL, LIQ. Z: current standardized value, green for positive risk tone where applicable. Weight: contribution percent after normalization. Composite: current index value. Reading tip: a broadly green Z column with slope positive often precedes better long context. Inputs with guidance Setup Calc timeframe: default Daily. Leave blank to inherit chart. Lookback: 50 to 1500. Larger length stabilizes regimes and delays turns. EMA smoothing: 1 to 200. Higher smooths noise and delays signals. Normalization Winsorize z at ±3: caps extremes to reduce one off shocks. Return window for equities: 5 to 260. Shorter reacts faster. Weighting Weight lookback: 20 to 520. Weight mode: Equal or InvVol. InvVol exponent gamma: 0.1 to 3. Higher compresses noisy components more. Signals Trade side: Long Short or Both. Entry threshold long and short: portable z thresholds. Exit line long and short: soft exits that give back less. Slope lookback bars: 1 to 20. Always long floor bfci ≥ X: macro easy mode keep long. Force short exit when bfci < Y: macro stress guard. Confirm Use price trend filter and Price SMA length. View Glow line and Show component table. Symbols SPY ACWI HYG LQD VIX DXY US02Y US10Y BIL are defaults and can be changed. Realism and responsible publication No performance claims. Past is not future. Shapes can move intrabar and settle on close. Execution is on standard candles only. Honest limitations and failure modes Major economic releases and illiquid sessions can break assumptions. Very quiet regimes reduce contrast. Use longer windows or higher thresholds. Component proxies are ETFs and indexes and cannot match a proprietary FCI exactly. Strategy notice Orders are simulated on standard candles. All security calls use lookahead off. Nonstandard chart types are not supported for strategies. Entries and exits Long rule: bfci cross above long threshold with positive slope and optional price filter OR bfci above the always long floor. Short rule: bfci cross below short threshold with negative slope and optional price filter. Exit rules: long exit on bfci cross below long exit or on a short signal. Short exit on bfci cross above short exit or on a long signal or on force close guard. Position sizing Percent of equity by default. Keep target risk per trade low. One percent is a sensible starting point. For this example we used 3% of the total capital Commisions We used a 0.05% comission and 5 tick slippage Legal Education and research only. Not investment advice. Test in simulation first. Use realistic costs.
Pine Script® Strategie
von exlux