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Rebound Sigma Pro - StrategyOverview Rebound Sigma Pro is a mean-reversion indicator that detects statistically oversold conditions in trending markets. It helps traders identify potential short-term rebounds based on momentum exhaustion and volatility-adjusted entry zones. Concept The indicator combines two quantitative components: Short-term momentum to detect short-term exhaustion Trend filter to ensure setups align with the long-term direction When a stock in an uptrend becomes temporarily oversold, a limit-entry signal is plotted. The trade is then tracked until short-term conditions normalize or a time-based exit occurs. Visual Signals Green Triangle: Suggests placing a limit order for the next session Green Circle: Confirms entry was filled Red Triangle: Signals an exit for the next session’s open Orange Background: Pending order Green Background: Position active Red Background: Exit phase Yellow Line: Entry reference price User Inputs Limit Entry (% below previous close) – Default 1 % Use Limit Entry – Switch between limit or market entries Enable Time Exit – Optional holding-period constraint Maximum Holding Days All other internal parameters (momentum length, filters) are pre-configured. Alerts Limit Order Signal: New setup detected Entry Confirmed: Order filled Exit Signal: Exit expected next day Usage Designed for liquid equities and ETFs Works best in confirmed uptrends Backtesting encouraged to adapt parameters per symbol and timeframe Notes Not an automated strategy; manual order execution required Past behavior does not imply future performance Always apply sound position sizing and risk management Disclaimer This indicator is provided for educational and analytical purposes only. It does not constitute financial advice or performance assurance.
Estratégia Pine Script®
por TheHitman
Alts Strategy 3.1Alts Strategy 3.1 is a long-term adaptive DCA system designed for spot investment management and portfolio scaling. It automatically accumulates and averages spot positions during market corrections, using layered Fibonacci supports and adaptive take-profit logic to optimize long-term entry efficiency. This strategy is built for investors and swing traders who prefer gradual accumulation over frequent trading. Instead of short-term entries and exits, it focuses on adding to positions at statistically favorable levels and reducing exposure near major resistance zones. Its adaptive nature allows users to simulate real investment behavior — buying lower, holding through volatility, and exiting strategically once recovery targets are reached. The core of the strategy is based on dynamic Fibonacci-derived support zones that react to historical price structures. When price approaches these zones, Alts Strategy 3.1 initiates or averages entries following cooldown rules and bear-cycle filters. The built-in bear-market filter recognizes historical cycle patterns (based on Bitcoin halving timelines) and temporarily blocks new entries during high-risk macro phases. Once the market exits a bear regime, the system reactivates, continuing long-term accumulation. The adaptive take-profit module adjusts target multipliers depending on recovery depth — distinguishing between “normal recovery” and “deep recovery” cycles. This approach helps maximize profit during sustainable uptrends while keeping long-term exposure moderate. All logic is handled internally without repainting, allowing accurate and consistent backtesting. Alts Strategy 3.1 is intended mainly for long-term investors, portfolio rebalancers, and spot market participants who use DCA (Dollar-Cost Averaging) logic to accumulate assets over time. It can be used to test different investment horizons, cooldown periods, and adaptive TP configurations directly in the Strategy Tester. Because it operates on real price action without leverage logic, it is ideal for simulating spot accumulation strategies and macro investment cycles. This tool is provided for educational and analytical purposes only. It is not financial advice or a trading signal system.
Estratégia Pine Script®
por AxelAlts
Tight Entry Trend Engine Strategy═══════════════════════════════════════ TIGHT ENTRY TREND ENGINE ═══════════════════════════════════════ A breakout-based trend-following system designed to capture explosive moves by entering at precise resistance/support breakouts with minimal entry risk and massive profit potential. ⚠️ LOW WIN RATE, HIGH REWARD SYSTEM ⚠️ This is NOT a high win-rate strategy. Expect 25-35% winners, but when it hits, winners are typically 10X+ larger than losers. ═══════════════════════════════════════ 🎯 WHAT THIS SYSTEM DOES ═══════════════════════════════════════ The Tight Entry Trend Engine identifies powerful breakout opportunities by detecting when price breaks through established trendlines with confirmation from higher timeframe trends: 1. DYNAMIC TRENDLINE DETECTION (3 BANKS) • Automatically draws support and resistance trendlines • 3 separate "banks" capture short-term, medium-term, and long-term levels • Each bank has configurable parameters (required pivot touch count, angle limits, lengths) 2. BREAKOUT ENTRY TIMING • Enters LONG when price breaks ABOVE resistance trendlines • Enters SHORT when price breaks BELOW support trendlines • Entry Alert occurs at the exact moment of breakout = "tight entry" • Stop-loss placed just below/above the broken trendline (configurable) 3. HIGHER TIMEFRAME TREND FILTER • Uses Hull Moving Average (HMA) on higher timeframe for trend following • Auto-adjusts HTF based on your chart timeframe • Optional filters prevent entries against major trend • Optional "overextension" filter avoids buying parabolic moves 4. VOLATILITY-ADAPTIVE RISK MANAGEMENT • Stop-loss calculated using Average True Range (ATR) • Tighter stops = better R:R • Profit targets adjust dynamically with volatility • Breakeven stop moves automatically when in profit • Extended profit targets when far from HTF trend ═══════════════════════════════════════ 📊 HOW IT WORKS (METHODOLOGY) ═══════════════════════════════════════ STEP 1: TRENDLINE FORMATION The system continuously scans for pivot highs and pivot lows to construct trendlines. You control: BANK 1 (Short-Term): - Pivot Length: How many bars to look back for swing points - Min Touches: How many pivots needed to form a line (default: 3) - Max Length: How far back lines can reach (default: 180 bars) - Angle Limits: Maximum steepness allowed for valid trendlines - Tolerance: How close pivots must align to form horizontal lines BANK 2 (Medium-Term): - Slightly longer pivot periods for more significant levels - Captures medium-term trend structure - Default Max Length: 200 bars BANK 3 (Long-Term): - Focuses on major support/resistance zones - Often uses horizontal levels (angled lines disabled by default) - Default Max Length: 300 bars The system draws RESISTANCE lines (red) above price and SUPPORT lines (green) below price. These adapt in real-time as new pivots form. STEP 2: BREAKOUT DETECTION LONG SIGNALS: - Price closes above a resistance trendline - Higher timeframe trend is up (optional filter) - Price not overextended from HTF trend (optional filter) - No position currently open SHORT SIGNALS: - Price closes below a support trendline - Higher timeframe trend is down (optional filter) - Price not overextended from HTF trend (optional filter) - No position currently open The "tight" aspect: Because you're entering right at the trendline break, your stop-loss can be placed very close (just below the broken resistance for longs), creating exceptional risk/reward ratios. STEP 3: POSITION SIZING Choose between: - Fixed $ Risk Per Trade: Risk same dollar amount every trade - % Risk Per Trade: Risk percentage of current equity Position size automatically calculated based on: - Your risk amount - Distance to stop-loss (ATR-based) - Works with stocks, futures, crypto (auto-adjusts for contract multipliers) STEP 4: EXIT MANAGEMENT Multiple exit methods working together: - PROFIT TARGET: Exits when profit reaches 100x your risk - EXTENDED PROFIT: Earlier exit (80R) when very far from HTF trend - STOP LOSS: Fixed ATR-based stop below entry - HTF TREND EXIT: Exits when price crosses below HTF trend with profit - BREAKEVEN PULLBACK: Exits if profit drops below 0.6R after reaching breakeven - PARTIAL PROFITS: Optional - take partial profits at specified R-multiple ═══════════════════════════════════════ 🔧 KEY COMPONENTS EXPLAINED ═══════════════════════════════════════ HULL MOVING AVERAGE (HMA) A smoothed moving average that reduces lag compared to traditional MAs. The system uses HMA on a higher timeframe to determine the dominant trend direction. You can choose: - Auto HTF: System picks appropriate HTF based on your chart timeframe - Manual HTF: You specify the higher timeframe AVERAGE TRUE RANGE (ATR) Measures current market volatility. Used for: - Stop-loss distance (tighter when volatility low) - Profit targets (larger when volatility high) - Position sizing (smaller positions in volatile conditions) - Breakeven trigger distance TRENDLINE ANGLE FILTERING Each trendline bank has angle limits to ensure quality: - Resistance lines: Max downward/upward slope allowed - Support lines: Max downward/upward slope allowed - Angles automatically adjust based on current volatility - Prevents overly steep/unreliable trendlines SENSITIVITY CONTROL One master slider adjusts multiple parameters: - Trendline detection sensitivity - HTF MA length - Exit timing - Auto-adjusts for daily+ timeframes (60% increase) ═══════════════════════════════════════ ⚙️ WHAT YOU SEE ON YOUR CHART ═══════════════════════════════════════ TRENDLINES: ✓ Red resistance lines above price ✓ Green support lines below price ✓ Orange broken lines (past breakouts) ✓ Lines extend to show current levels HTF TREND: ✓ Thick colored line showing higher timeframe trend ✓ Color gradient: Red (bearish) → Orange → Yellow → Green (bullish) ✓ 250-bar smoothed curve for visual clarity ENTRY/EXIT SIGNALS: ✓ Small green dot below bar = Long entry ✓ Small red dot above bar = Short entry ✓ Small red dot above = Long exit ✓ Small black dot below = Short exit OPTIONAL DETAILED LABELS: ✓ Bank number that triggered entry (Bank 1, 2, or 3) ✓ Exit reason (Profit Target, Stop Loss, HTF Exit, etc.) ✓ Partial profit notifications POSITION TRACKING: ✓ Yellow dashed line at entry price (extends right) ✓ Green/red fill showing current profit/loss zone ✓ Lime arrows at top = Currently in long position ✓ Red arrows at bottom = Currently in short position ✓ Gray background = No position (flat) STATS TABLE (Top Right): ✓ Current position (LONG/SHORT/FLAT) ✓ Risk per trade ($ or %) ✓ Entry price ✓ Unrealized P/L in dollars ✓ P/L in R-multiples (how many R's profit/loss) ✓ Average winner/loser R ($ mode) OR CAGR (% mode) ═══════════════════════════════════════ 📈 OPTIMAL USAGE ═══════════════════════════════════════ BEST ASSETS: - NASDAQ:QQQ on 1-hour (reg) chart ⭐ (PRIMARY OPTIMIZATION) - Strong trending stocks: NVDA, AAPL, TSLA, MSFT, GOOGL, AMZN - High volatility tech stocks - Crypto: BTC, ETH - Any liquid asset with clear trends and momentum (GOLD) AVOID: - Low volatility stocks - Ranging/choppy markets - Penny stocks or illiquid assets - Assets without clear directional movement BEST TIMEFRAMES: - PRIMARY: 1-hour charts (optimal for QQQ) - ALSO EXCELLENT: 2H, 4H, 8H - WORKS: 15min, 30min (only momentum leaders, more noise) - WORKS WITH ADJUSTMENTS: 1D, 2D (decrease trendline pivot lengths) ═══════════════════════════════════════ 📊 BACKTEST RESULTS (QQQ 1H (Reg hours), 1999-2024) ═══════════════════════════════════════ The system showed on NASDAQ:QQQ 1-hour timeframe (regular hours): - Total Return: 1,100,000%+ over 24 years - Total Trades: 500+ - Win Rate: ~20-24% (LOW - this is by design!) - Average Winner: 8-15% gain - Average Loser: 2-4% loss - Win/Loss Ratio: 10:1 (winners much bigger than losers) - Profit Factor: 3+ - Max Drawdown: 45-50% - Risk per trade: 3% of capital KEY INSIGHT: This is a LOW WIN RATE, HIGH REWARD system. You will lose more trades than you win, but the few winners are so large they more than compensate for many small losses. IMPORTANT: These are backtested results using optimal parameters on historical data. Real trading results will vary based on: - Your execution and timing - Slippage and commissions - Your emotional discipline - Market conditions during your trading period ═══════════════════════════════════════ 🎓 WHO IS THIS FOR? ═══════════════════════════════════════ IDEAL FOR: ✓ Swing traders comfortable holding winners for longer period ✓ Part-time traders (1H = check 2-3x per day) ✓ Traders seeking exceptional risk/reward ratios ✓ Those comfortable with low win rates if winners are huge ✓ Technical analysis enthusiasts ✓ Breakout traders ✓ Trend followers ═══════════════════════════════════════ 🚀 GETTING STARTED - STEP BY STEP ═══════════════════════════════════════ STEP 1: APPLY TO YOUR CHART - Search "Tight Entry Trend Engine" in indicators - Click to apply to your chart - Trendlines and HTF line will appear immediately STEP 2: CHOOSE YOUR SETTINGS For BEGINNERS - Use These Settings First: 1. Trade Direction & Filters: • ENABLE LONGS: ✓ ON • ENABLE SHORTS: ✗ OFF (start with longs only) • Sensitivity: 1.0 (default) • HTF Trend Entry Filter: ✓ ON (safer entries) • Block Entries When Overextended: ✓ ON (avoid parabolic tops) 2. Position Sizing & Risk: • Position Sizing: "Per Risk" • RISK Type: "$ Per Trade" • Risk Amount: $200 (or 1-3% of your account) 3. Visual Settings: • Show Support Lines: ✗ OFF (unless trading shorts) • Show Detailed Entry/Exit Labels: ✓ ON • Show Stats Table: ✓ ON • Show Entry Line & P/L Fill: ✓ ON 4. Leave everything else at DEFAULT for now STEP 3: UNDERSTAND WHAT YOU SEE When trendlines appear: - RED lines above = Resistance (watch for price breaking UP through these) - GREEN lines below = Support (watch for price breaking DOWN) - When price breaks a red line = Potential LONG entry - When price breaks a green line = Potential SHORT entry The HTF trend line (thick colored): - Green/lime = Strong uptrend (favorable for longs) - Red = Strong downtrend (favorable for shorts if enabled) - Orange/yellow = Transitioning STEP 4: OBSERVE SIGNALS - Small GREEN dot below bar = System entered LONG - Small RED dot above bar = System exited LONG - Check the label to see which "Bank" triggered (Bank 1, 2, or 3) - Watch the yellow entry line and colored fill show your P/L STEP 5: PAPER TRADE FIRST - Use TradingView's paper trading feature - Watch how signals perform on YOUR chosen asset - Understand the win rate will be LOW (20-35%) - Verify that winners are indeed much larger than losers - Test for at least 20-30 signals before going live STEP 6: OPTIMIZE FOR YOUR ASSET (OPTIONAL) If default settings aren't working well: For FASTER signals (more trades): - Reduce Pivot Length 1 to 3-4 - Reduce Max Length 1 to 120-150 - Increase Sensitivity to 1.2-1.5 For SLOWER signals (higher quality): - Increase Pivot Length 1 to 7-10 - Increase Max Length 1 to 250+ - Decrease Sensitivity to 0.7-0.9 For DAILY timeframes: - Increase all Pivot Lengths by 30-50% - Increase all Max Lengths significantly - Sensitivity: 0.6-0.8 ═══════════════════════════════════════ ⚙️ ADVANCED SETTINGS EXPLAINED ═══════════════════════════════════════ TRENDLINE BANK SETTINGS: Each bank (1, 2, 3) has these parameters: - Min Touches: Minimum pivots to form a line - Lower (2) = More lines, earlier detection - Higher (4+) = Fewer lines, higher quality - Pivot Length: Lookback for swing points - Lower (3-5) = Reacts to recent price action - Higher (10+) = Only major swing points - Max Length: How old a trendline can be - Shorter (100-150) = Only recent lines - Longer (300+) = Include historical levels - Tolerance: Alignment strictness for horizontal lines - Lower (3.0-3.5) = Very strict horizontal - Higher (4.5+) = More forgiving alignment - Allow Angled Lines: Enable diagonal trendlines - ON = Catches sloped support/resistance - OFF = Only horizontal levels - Angle Limits: Maximum steepness allowed - Lower (1-2) = Only gentle slopes - Higher (4-6) = Accept steeper angles - Automatically adjusts for volatility ATR MULTIPLIERS: - STOP LOSS ATR (0.6): Distance to stop-loss - Lower (0.4-0.5) = Tighter stops, stopped out more - Higher (0.8-1.0) = Wider stops, more room - PROFIT TARGET ATR (100): Main profit target - This is 100x your risk = 10,000% R:R - Lower (50-80) = Take profits sooner - Higher (120+) = Let winners run longer - BREAKEVEN ATR (40): When to move stop to breakeven - Lower (20-30) = Protect profits earlier - Higher (60+) = Give more room before protecting HIGHER TIMEFRAME: - Auto HTF: Automatically selects appropriate HTF - 5min chart → uses 2H - 15-30min → uses 6H - 1-4H → uses 2D - Daily → uses 4D - HTF MA Length (300): HMA period for trend - Lower (150-250) = More responsive - Higher (400-500) = Smoother, less whipsaw - HTF Trend Following Exit: Exits when crossing HTF - ON = Additional exit method - OFF = Rely only on profit targets/stops - HTF Trend Entry Filter: Only trade with HTF trend - ON = Safer, fewer signals - OFF = More aggressive, more signals - Block Entries When Overextended: Prevents chasing - ON = Avoids parabolic tops/bottoms - OFF = Enter all breakouts regardless ═══════════════════════════════════════ 💡 TRADING PHILOSOPHY & EXPECTATIONS ═══════════════════════════════════════ This system is built on one core principle: "ACCEPT SMALL, FREQUENT LOSSES TO CAPTURE RARE, MASSIVE WINS" What this means: - You WILL lose 65%-75% of your trades - Most losses will be small (1-2R) - Some winners hit 80R+ - Over time, math works in your favour
Estratégia Pine Script®
por trend-wolf
Ajay R5.41🔻 Ajay Gold 3H Power Indicator 🔻 Precision-Based Smart Sell System for Gold (XAU/USD) 💡 Overview This indicator is specifically designed for Gold (XAU/USD) and delivers best results on the 3-Hour Timeframe (3H TF). It is a Smart Money Logic-based Sell Confirmation System, combining institutional structure and candle behavior to generate highly accurate bearish signals. ⚙️ Technical Foundation The indicator uses multiple advanced confirmations: 📉 EMA Trend Filter → Confirms downtrend 💪 RSI Overbought Rejection → Momentum reversal signal 📊 MACD Bearish Cross → Confirms trend strength 🕯️ Bearish Candle Structure → Price action validation When all conditions align, a clear 🔻 Sell Signal is plotted on the chart. 💎 Hidden Feature This indicator includes a hidden feature that activates only when the correct market structure forms. It helps reduce false signals and increases accuracy without being visible on the chart — fully automated internal logic. 📆 Recommended Settings Symbol: XAU/USD (Gold) Timeframe: 3-Hour (3H) Market: Forex / Commodity Mode: Sell-Only Confirmation Indicator Performance: Best precision and consistency on 3H TF 📈 How to Use Select XAU/USD on chart and set 3H timeframe. Add the indicator to the chart. Wait for the 🔻 Sell Signal and confirm the market structure after candle close. Take entry according to your risk management. ⚠️ Disclaimer This indicator is for educational and analytical purposes only. No system is 100% accurate — always backtest and demo trade before using in real trading. 💬 Credits Developed by Ajay Sahu (India) Based on Institutional & Smart Money Logic Best results on 3H TF Hidden Algorithm for XAU/USD traders
Estratégia Pine Script®
por Ajay_Janjgir
23
Batman Strategy v1 1. Overview & Core Concept The "Batman Strategy V1" is a comprehensive trend-following and pyramid-trading framework designed for multiple asset classes. Its core concept is to identify strong, established trends and systematically enter positions in stages (pyramiding) to maximize gains during sustained market movements. This strategy is built on a proprietary scoring system that synthesizes multiple market dimensions—including stage analysis, relative strength, and volume dynamics—into clear, actionable signals. It is not a simple indicator mashup; it's a complete system with defined entry, exit, and risk management protocols. 2. Key Features Proprietary Trend Scoring: The strategy grades market conditions from 'A' (strong bull trend) to 'Z' (strong bear trend) using a unique combination of ADX and RSI calculations, providing a nuanced view of trend maturity and strength. Advanced Relative Strength Analysis: Automatically compares the asset's performance against a relevant market index (e.g., NIFTY for Indian stocks, NDX for US stocks, or a total crypto market cap for crypto) to ensure it is a market leader. Heikin-Ashi Based Logic: Utilizes Heikin-Ashi candles for its core calculations to filter out market noise and provide smoother trend signals. Multi-Tranche Pyramiding: The strategy is designed to enter a position with an initial tranche and add up to four subsequent positions if the trend continues favorably, based on a proprietary breakout logic (`ha_close > breakout`). Dynamic & Multi-Option Exits: Offers three distinct, user-selectable trailing stop mechanisms for exits: SuperTrend, V-Stop, and Chandelier Exit. This allows traders to tailor the exit logic to their risk tolerance and the asset's volatility. The data source for these exits can also be switched between the standard chart and Heikin-Ashi candles. Integrated Risk Management: Implements a sophisticated stop-loss system that adjusts based on the number of open trades, aiming to move to break-even after the third tranche and protecting capital. 3. How to Use This Strategy Configuration: In the script settings, first set your desired backtesting date range. Then, configure the "Entry," "Tranching," and "Exit" parameters to suit your trading style. The most important choice is the "Exit Indicator," as this will define how the strategy closes trades. Interpretation: When applied to a chart, the strategy will plot trend score labels ('A', 'B', 'C' for bullish; 'X', 'Y', 'Z' for bearish), color the background based on relative strength, and color the bars based on volume strength. Backtesting results, including all pyramided trades, will be visible in the "Strategy Tester" panel. Alerts: The script includes built-in alert conditions for both bullish and bearish trend scores, which can be used to notify you of potential opportunities. 4. Backtesting & Performance This is a strategy script, and its performance should be thoroughly evaluated in the Strategy Tester. As per TradingView rules, users should use realistic settings for initial capital, commission, and slippage. The default settings are a template; they should be adjusted to reflect the conditions of the market you are testing. Past performance is not indicative of future results. 5. Disclaimer This strategy is a tool for market analysis and idea validation. It is not financial advice. All trading involves risk, and you should not risk more than you are prepared to lose. This is a closed-source, protected script; its internal calculations are proprietary.
Estratégia Pine Script®
por shahrukhkhan489
TSI Base BTC 1D /tv! (www.tradingview.com) # 🧠 TSI Base BTC 1D /tv ## Overview **TSI Base BTC 1D /tv** is a **trend-following strategy** optimized for **Bitcoin on the 1D timeframe**, though it also performs strongly across other major cryptocurrencies. It’s designed to identify major directional shifts while filtering out short-term noise, maintaining a balance between **clarity, consistency, and risk control**. The system focuses on staying aligned with large market trends — not chasing every fluctuation — which makes it particularly suited for traders seeking structured, high-integrity signals. --- ## Backtesting & Performance This strategy has been tested extensively across multiple market cycles. The chosen backtest range — **from 2018 to the present** — is deliberate, as it captures both a full **bear market and bull market phase**, offering a statistically representative view of long-term performance and risk behavior. We also recommend testing the strategy **from 2023 onward**, covering the ongoing bull run, to evaluate how it adapts to renewed momentum and volatility expansion. Across both periods, TSI Base BTC 1D /tv demonstrates **consistent profitability**, **contained drawdowns**, and a **disciplined number of trades**, often outperforming a simple buy-and-hold benchmark. Although primarily designed for **1D charts**, the system can also be applied to shorter timeframes while maintaining its trend-based integrity. --- ## Risk Management Inputs The strategy includes optional parameters allowing traders to fine-tune risk and reward dynamics while preserving the same core logic: - **Enable Stop Loss (%)** → activates a protective stop loss. You can freely adjust this percentage; however, using a **6 % Stop Loss** (as shown below) has proven to **increase overall profitability** while keeping the **maximum equity drawdown** close to **11.48 %**, compared to over 12 % without it. 📈 *Example backtest with 6 % Stop Loss enabled (2018 – 2025):* *(Image below illustrates total P&L, drawdown, and profitable trade ratio.)* ! (<>) - **Enable Take Profit (%)** → sets a percentage target where profits are automatically secured once reached. - **Fixed Stop-Loss / Take-Profit Price** → allows absolute price levels (enter “0” to disable). - **Enable Trailing Stop (%)** → locks in profits by following price movement from the last peak. > These inputs are optional and should be used experimentally. Each trader can adapt them to their own risk tolerance and market conditions. --- ## Automation Given its non-repainting design, **automation is highly recommended** for consistent execution. The strategy can be connected to external automation systems such as **Signum**, which has been tested and confirmed to operate seamlessly. *(Disclosure: we are not affiliated with Signum or any automation provider. Mentions are purely illustrative and for educational purposes.)* --- ## Trading Philosophy TSI Base BTC 1D /tv aims to **capture the essence of macro trends** while avoiding emotional over-trading. It keeps traders positioned during periods of strength and sidelines them during uncertainty, offering a disciplined, data-driven approach to following momentum. --- ## Key Characteristics - ✅ **No Repainting** — signals confirmed on candle close. - ✅ **Trend-Based Logic** — trades align with macro directional bias. - ✅ **Volatility-Adaptive** — dynamic envelopes respond to market expansion and contraction. - ✅ **Backtest-Proven Stability** — consistent across multiple cycles. - ✅ **Automation-Ready** — compatible with external trade-execution platforms. --- ⚠️ **Disclaimer:** This strategy is provided solely for **educational and research purposes**. It does **not constitute financial advice**. Users are responsible for their own configurations, including Stop Loss, Take Profit, and Trailing Stop settings. While examples show that enabling a **6 % Stop Loss** can improve historical results and reduce drawdown, performance may vary across assets and timeframes. Always backtest thoroughly and use demo environments before applying live capital.
Estratégia Pine Script®
por info_tsi_lat
Twisted Forex's Doji + Area StrategyTitle Twisted Forex’s Doji + Area Strategy Description What this strategy does This strategy looks for doji candles forming inside or near supply/demand areas . Areas are built from swing pivots and sized with ATR, then tracked for retests (“confirmations”). When a doji prints close to an area and quality checks pass, the strategy places a trade with the stop beyond the doji and a configurable R:R target. How areas (zones) are built • Swings are detected with a user-set pivot length. • Each swing spawns a horizontal area centered at the pivot price with half-height = zoneHalfATR × ATR . • Duplicates are de-duplicated by center distance (ATR-scaled). • Areas fade when broken beyond a buffer or after an optional age (expiry). • Retests are recorded when price touches and then bounces away from the area; repeated reactions increase the zone’s “strength”. Signal logic (summary) Doji detection: strict or loose body criteria with optional minimum wick fractions and ATR-scaled minimum range. Proximity: price must be inside/near a supply or demand area (proxATR × ATR). Side resolution: overlap is resolved by (a) which side price penetrates more, (b) fast/slow EMA trend, or (c) nearest distance. Optional “previous candle flip” can bias long after a bearish candle and short after a bullish one. Optional 1-bar confirmation: the bar after the doji must close away from the area by confirmATR × ATR . Quality filter (Off/Soft/Strict): four checks—(i) wick rejection past the edge, (ii) doji closes in an edge “band” of the area, (iii) fresh touch (cooldown), (iv) approach impulse over a short lookback. In Strict , thresholds auto-tighten. Orders & exits • Long: stop below doji low minus buffer; Short: above doji high plus buffer. • Target = rrMultiple × risk distance . • Pyramiding is off by default. Position sizing You can size from the script or from Strategy Properties: • Script-driven (default): set Position sizing = “Risk % of equity” and choose riskPercent (e.g., 1.0%). The script applies safe floors/rounding (FX micro-lots by default) so quantity never rounds to zero. • Properties-driven : toggle Use TV Properties → Order size ON, then pick “Percent of equity” in Properties (e.g., 1%). The header includes safe defaults so trades still place. Key inputs to explore • Zone building : pivotLen, zoneHalfATR, minDepartureATR, expiryBars, breakATR, leftBars, dedupeATR. • Doji & proximity : strictDoji, dojiBodyFrac, minWickFrac, minRangeATR, proxATR, minBarsBetween. • Overlap resolution : usePenetration, useTrend (EMA 21/55), “previous candle flip”, needNextBarConf & confirmATR. • Quality : qualityMode (Off/Soft/Strict), minQualPass/kStrict, wickPenATR, edgeBandFrac, approachLookback, approachMinATR, freshTouchBars. • Zone strength gating : minStrengthSoft / minStrengthStrict. • HTF confluence (optional) : useHTFTrend (HTF EMA 34/89) and/or useHTFZoneProx (HTF swing bands). Tips to make it cleaner / higher quality • Turn needNextBarConf ON and use confirmATR = 0.10–0.15 . • Increase approachMinATR (e.g., 0.35–0.45) to require a stronger pre-touch impulse. • Raise minStrengthSoft/Strict (e.g., 4–6) so only well-reacted zones can signal. • Use signalsOnlyConfirmed ON if you prefer trades only from zones with retests (the script falls back gracefully when none exist yet). • Nudge proxATR to 0.5–0.6 to demand tighter proximity to the level. • Optional: enable useHTFTrend to filter counter-trend setups. Default settings used in this publication • Initial capital: 100,000 (illustrative). • Slippage: 1 tick; Commission: 0% (you can raise commission if you prefer—spread is partly modeled by slippage). • Sizing: Risk % of equity via inputs; riskPercent = 1.0% ; FX uses micro-lot floors by default. • Quality: Off by default (Soft/Strict available). • HTF trend gate: Off by default. Backtesting notes For a meaningful sample size, test on liquid symbols/timeframes that yield 100+ trades (e.g., majors on 5–15m over 1–2 years). Backtests are modelled and broker costs/spread vary—validate on your feed and forward-test. How to read the chart Shaded bands are supply (above) and demand (below). Brighter bands are the nearest K per side (visual aid). BUY/SELL labels mark entries; colored dots show entry/SL/TP levels. You can hide zones or unconfirmed zones for a cleaner view. Disclaimer This is educational material, not financial advice. Trading involves risk. Always test and size responsibly.
Estratégia Pine Script®
por Twisted_Forex
OneHolo-TGAPSNRTGAPSNR: Multi time frame - Trend Gap Stop And Reverse strategy/Study PnL. This script outlines a systematic approach to generating buy and sell signals by combining Fair Value Gaps (FVGs), specific market structures, and three different trend direction methods (Swing, Gravity, and FVG Inverse direction). The strategy incorporates multiple entry modes, such as Hyper Mode, Swiper Mode, and a Custom mode, allowing users to tailor signal conditions, alongside extensive logic for trade management, higher time frame analysis, and various visual indicators for plotting trend, pivots, and profit and loss information. I. Core Trend Direction Consensus (The Three-Pillar System) The primary method for determining market bias is a three-pillar consensus model, requiring all directional methods to align before the overall Trend Direction is established (up or down). This ensures high conviction for trend signals. • Pillar 1: Swing Direction: Determines market direction based on classic price action, specifically checking for continuous higher highs and higher lows for an upward bias, or lower lows and lower highs for a downward bias. • Pillar 2: Gravity Direction (Peak and Valley): This uses specific market structure pivots. Direction is set based on whether the close price successfully crosses the established recent Peak High (indicating upward momentum) or crosses under the recent Valley Low (indicating downward pressure). • Pillar 3: FVG Inverse Direction: This relies on Fair Value Gaps (FVGs), defined as a gap between the current bar's price and the price two bars prior. Direction shifts occur when the Close price crosses the midpoint of the last relevant FVG. For instance, crossing above the midpoint of the last FVG Down signals a potential inverse long trade. II. Flexible Signal Generation Modes The strategy offers several pre-configured and highly detailed entry modes, plus a powerful Custom Mode: • Session Open Range Break (ORB) Mode: Uses the high/low of the session's first bar to generate initial signals, then defaults to the Three-Pillar Trend Direction after the ORB session concludes. • Swiper Mode: Designed to identify continuations, combining a confirmed Trend Direction with a Stop and Reverse signal (SnR) while actively avoiding confirmed pivot breaks. • Hyper/Aggressive Modes: These modes use broad combinations of signals, allowing for earlier entry based on momentum and structural breaks (like PeakCrossLong, SnRtrapLong, or FVG signals). • Custom Query Mode (The Seven-Slot Logic): This non-redundant system allows the user to define complex, tailored entry conditions by selecting any combination of 14 core patterns across seven distinct slots. ◦ AND/OR Combination: For each of the seven slots, the user determines if the chosen pattern must be met (AND component) or if it can serve as an alternative trigger (OR component). ◦ The final signal requires that all configured AND conditions are true and then integrates the result of the OR conditions, allowing for highly specific "hook queries" (e.g., "Condition A AND Condition B, OR Condition C"). III. Advanced PnL and Mobile App Diagnostics A key proprietary element is the implementation of a dual PnL system and customized visualization features: • Dual PnL Display (Strategy PnL vs. Study PnL): Users can choose to view either the native platform's strategy performance data or the script's internal, proprietary Study PnL. The Study PnL calculates profits/losses based strictly on the close price and tracks performance using Pine Script® arrays, providing a transparent, diagnostic view of performance independent of broker/platform simulation biases. • Lower Panel Visualization: Both PnL types are displayed on the lower panel using detailed bar plots (style=plot.style_columns), which color according to profitability, and include labels that show current open profit and total net profit. • Detailed Trade Labels: The script generates detailed, customizable labels on both the chart (above/below bars) and the lower PnL panel, providing historical PnL, number of trades, and real-time profit information for each entry or exit. IV. Higher Time Frame (HTF) Context and Lookahead Prevention The strategy integrates multi-time frame analysis using strict methodology to prevent lookahead bias: • HTF Bias Filtering: When enabled, the strategy uses the position calculated on a user-defined higher time frame (HTF) as a mandatory filter. A long signal on the current chart is only executed if the HTF is also in a long position, and vice-versa. • Lookahead Prevention: To maintain integrity, all HTF data requests use a mandatory lookback index (often ) to ensure the script only accesses confirmed data from the prior completed bar on the higher timeframe. • HTF Visual Mode: The user can opt to display key structural elements—such as the Gravity Pivots and the Trend Direction blocks—as calculated on the HTF, overlaying this higher-level context onto the current chart for visual analysis. The TGAPSNR: Multi time frame - Trend Gap Stop And Reverse strategy/Study PnL script, despite its complexity, intentionally excludes realistic considerations such as fees, slippage, and explicit risk management settings (like fixed stop-loss or take-profit rules) from its primary logic. Here is an explanation of why these elements are omitted in the strategy's current implementation and why they must be applied by the user for real-world application, drawing on the context of the sources: 1. Absence of Realistic Fees, Commissions, and Slippage The primary function of the TGAPSNR script is to execute intricate signal generation and diagnostic PnL calculation based on its three-pillar trend system and Custom Mode logic. However, the strategy's backtesting results, particularly those displayed by the internal Study PnL feature, are based purely on price difference (e.g., (close - lse) * syminfo.pointvalue * IUnits). • Strategy Result Requirements: TradingView explicitly states that strategies published publicly should strive to use realistic commission AND slippage when calculating backtesting results to avoid misleading traders. • User Responsibility: Since the script currently focuses on signal integrity and uses a fixed contract size (IUnits = 1) without configurable commission/slippage inputs shown in the source, the user must manually configure these fees within the Pine Script® Strategy Tester settings (Properties tab) to ensure the strategy results are reflective of actual trading costs. 2. Omission of Built-in Risk Management (Stop-Loss and Take-Profit) The TGAPSNR strategy's core focuses on entry signals and trend confirmation. Exits are primarily governed by: • Reversal signals (BuyStop or SellStop). • End-of-Day (EOD) session closures (EODStop). • HTF bias opposition. What is Missing: The script does not include explicit, hard-coded risk management parameters for traditional stop-loss (SL) or take-profit (TP) levels (e.g., risk percentage or ATR-based exits). • Viable Risk: TradingView guidelines stipulate that strategies should generally risk sustainable amounts of equity, usually not exceeding 5-10% on a single trade, and trade size must be appropriate. • User Application: To ensure the strategy operates within realistic risk boundaries, users must apply their own risk management rules. This includes: ◦ Implementing realistic stops and profit targets, which can be added via Pine Script® code or manually managed during live trading. ◦ Sizing trades to only risk sustainable amounts of equity. The current default unit size (IUnits = 1) is unrealistic for risk assessment unless the symbol is micro-sized. 3. Execution Quality (Fills) The strategy is set to fill_orders_on_standard_ohlc = true and operates on confirmed bar closes (barstate.isconfirmed). • Fill Assumption: This suggests the strategy primarily uses close price or the HTF close price (EntryPrice = HTFClose) for execution. • Real-World Limitation: In volatile markets, obtaining a fill price equal to the close of the bar is rare. The user must be aware that the simulated fill price shown in backtesting may differ significantly from actual execution prices due to market action and chosen order type, reinforcing the importance of applying slippage settings. In summary, while the script provides highly detailed and unique signal generation and internal PnL diagnostics, users must exercise caution and apply their own realistic parameters for fees, slippage, and explicit risk controls to prevent misleading performance results and ensure viable trading
Estratégia Pine Script®
por OneHolo
3
Golden StrategyTitle: XAUUSD (Gold) Smart Entry Strategy with Dynamic Scaling Description: This is a precision-based entry strategy for XAUUSD (Gold), optimized for lower timeframes like the 5-minute and 15-minute charts. It uses a custom logic engine to detect potential reversals and applies dynamic scaling (pyramiding) to build positions strategically based on price behavior. 🔍 Key Features: ✅ Smart entry logic for trend shifts ✅ Configurable position scaling up to 7 level ✅ Built-in capital efficiency for smaller accounts ✅ Backtest window control for historical testing ✅ Compact on-screen table for user guidance Timeframes Recommended: 🔸 15-minute: Best balance of risk and consistency 🔸 5-minute: More frequent signals, slightly higher risk ⚠️ Important Disclaimer This script is for educational and informational purposes only. It is not financial advice or a signal service. Trading carries risk, and past performance does not guarantee future results. Use at your own discretion and always manage risk appropriately.
Estratégia Pine Script®
por hdkd5636
2
Trend-Following & Breakout — Index Quant Strategy (NASDAQ)📈 Trend-Following & Breakout — Index Quant Strategy (NASDAQ & S&P 500) Type: Invite-only strategy Markets: NASDAQ 100 (NAS100 / US100 / NQ), S&P 500 (US500 / SPX), and other major equity indices. 🧠 Concept: Continuous trend model combining EWMAC (trend-following) and Donchian (breakout) signals, scaled by forecast strength and portfolio risk. ⚙️ Execution: Rebalances only on decision-bar closes, using hysteresis and a no-trade band to reduce churn. 📊 Default bias: Long-only — aligned with equity index drift. 🧩 How it works • EWMAC Trend: Difference between fast and slow EMAs, normalized by an EWMA of absolute returns. • Donchian Breakout: Distance beyond a 200-bar channel (Strict mode) or relative z-score position within it. • Forecast combination: Weighted sum of trend and breakout points, clamped to ± capPoints. • Hysteresis: Prevents quick sign flips near zero forecast. • Risk scaling: Maps forecast strength to position size using equity × risk budget × ATR-based stop distance. • Rebalance: Executes only if the required quantity change exceeds the Δqty threshold; can optionally block increases on Sundays (for CFDs). ⚙️ Default parameters Deployed on NQ / US100 / NAS100 on Daily Timeframe • Decision timeframe = 360 min (other options from 1 min to 1 week). • Trend (EWMAC): Fast = 64, Slow = 256, Vol Norm = 32, Weight = 0.8. • Breakout (Donchian): Length = 200, Mode = Strict, Weight = 0.2. • Forecast scaling: ptsPerSigma = 1.0, capPoints = 10. • Risk % per rebalance = 4 % of equity. • ATR stop: ATR(14) × 1.0. • No-trade band (Δqty) = 4 units. • Hysteresis = 2 forecast points. • Bias = Long-only (Neutral / Long-bias 50 % optional). • Skip Sunday increases = false (default). 📋 Backtest properties (documented) • Initial capital = 100 000 USD. • Commission = 0.20 % per trade. • Pyramiding = 10. • Calc on every tick = false. • Point value = 1 (for NAS100 CFD). • No financing or slippage modeled. • If using CFDs, account for overnight funding. • On futures (NQ / ES), carry is implicit. 📊 Typical behaviour • Many small scratches, a few large winners. • Performs best during multi-week / multi-month trends. • Underperforms in tight or volatile ranges. • Average hold ≈ 30 – 90 days in historical tests. 💡 Risk and performance guide (illustrative) Sharpe ≈ 1.25 Sortino ≈ 1.10 – 1.30 Max drawdown ≈ –18 % to –25 % Annual volatility ≈ 24 – 28 % CAGR ≈ 50 – 60 % (at 4 % risk) Edge ratio ≈ 5 (MFE / MAE) Historical backtests only — past performance does not guarantee future results. 🌍 Intended markets and timeframes Optimized for NASDAQ 100 and S&P 500; also effective on similar indices (DAX, Dow Jones, FTSE). Best on Daily or higher timeframes. Aligns with long-term index drift — suitable for long-bias systematic trend portfolios. ⚠️ Limitations • Backtests exclude CFD funding costs. • Trend models will have losing streaks in range-bound markets. • Designed for experienced traders seeking systematic exposure. 🔑 Requesting access Send a private TradingView message to with the text: “Request access to Trend-Following & Breakout — Index Quant Strategy.” Access is granted only on explicit request. For further information, see my TradingView Signature. 🆕 Release notes (v1.0) • Initial release (360 min TF): EWMAC 64/256 + Donchian 200 Strict. • Risk 4 %, ATR × 1.0, Long-only bias, hysteresis 2 pts, Δqty ≥ 4. • Developed for NASDAQ 100 and S&P 500 indices. • Implements continuous risk-scaled positioning and no-trade band logic. 🧾 Originality statement This strategy is original work built entirely from TradingView built-ins (EMA, ATR, Highest, Lowest). It does not reuse open-source invite-only code. Any future reuse of open scripts will be done with explicit permission and credit.
Estratégia Pine Script®
por Algorific
Macro Momentum – 4-Theme, Vol Target, RebalanceMacro Momentum — 4-Theme, Vol Target, Rebalance Purpose. A macro-aware strategy that blends four economic “themes”—Business Cycle, Trade/USD, Monetary Policy, and Risk Sentiment—into a single, smoothed Composite signal. It then: gates entries/exits with hysteresis bands, enforces optional regime filters (200-day bias), and sizes the position via volatility targeting with caps for long/short exposure. It’s designed to run on any chart (index, ETF, futures, single stocks) while reading external macro proxies on a chosen Signal Timeframe. How it works (high level) Build four theme signals from robust macro proxies: Business Cycle: XLI/XLU and Copper/Gold momentum, confirmed by the chart’s price vs a long SMA (default 200D). Trade / USD: DXY momentum (sign-flipped so a rising USD is bearish for risk assets). Monetary Policy: 10Y–2Y curve slope momentum and 10Y yield trend (steepening & falling 10Y = risk-on; rising 10Y = risk-off). Risk Sentiment: VIX momentum (bearish if higher) and HYG/IEF momentum (bullish if credit outperforms duration). Normalize & de-noise. Optional Winsorization (MAD or stdev) clamps outliers over a lookback window. Optional Z-score → tanh mapping compresses to ~ for stable weighting. Theme lines are SMA-smoothed; the final Composite is LSMA-smoothed (linreg). Decide direction with hysteresis. Enter/hold long when Composite ≥ Entry Band; enter/hold short when Composite ≤ −Entry Band. Exit bands are tighter than entry bands to avoid whipsaws. Apply regime & direction constraints. Optional Long-only above 200MA (chart symbol) and/or Short-only below 200MA. Global Direction control (Long / Short / Both) and Invert switch. Size via volatility targeting. Realized close-to-close vol is annualized (choose 9-5 or 24/7 market profile). Target exposure = TargetVol / RealizedVol, capped by Max Long/Max Short multipliers. Quantity is computed from equity; futures are rounded to whole contracts. Rebalance cadence & execution. Trades are placed on Weekly / Monthly / Quarterly rebalance bars or when the sign of exposure flips. Optional ATR stop/TP for single-stock style risk management. Inputs you’ll actually tweak General Signal Timeframe: Where macro is sampled (e.g., D/W). Rebalance Frequency: Weekly / Monthly / Quarterly. ROC & SMA lengths: Defaults for theme momentum and the 200D regime filter. Normalization: Z-score (tanh) on/off. Winsorization Toggle, lookback, multiplier, MAD vs Stdev. Risk / Sizing Target Annualized Vol & Realized Vol Lookback. Direction (Long/Short/Both) and Invert. Max long/short exposure caps. Advanced Thresholds Theme/Composite smoothing lengths. Entry/Exit bands (hysteresis). Regime / Execution Long-only above 200MA, Short-only below 200MA. Stops/TP (optional) ATR length and SL/TP multiples. Theme Weights Per-theme scalars so you can push/pull emphasis (e.g., overweight Policy during rate cycles). Macro Proxies Symbols for each theme (XLI, XLU, HG1!, GC1!, DXY, US10Y, US02Y, VIX, HYG, IEF). Swap to alternatives as needed (e.g., UUP for DXY). Signals & logic (under the hood) Business Cycle = ½ ROC(XLI/XLU) + ½ ROC(Copper/Gold), then confirmed by (price > 200SMA ? +1 : −1). Trade / USD = −ROC(DXY). Monetary Policy = 0.6·ROC(10Y–2Y) − 0.4·ROC(10Y). Risk Sentiment = −0.6·ROC(VIX) + 0.4·ROC(HYG/IEF). Each theme → (optional Winsor) → (robust z or scaled ROC) → tanh → SMA smoothing. Composite = weighted average → LSMA smoothing → compare to bands → dir ∈ {−1,0,+1}. Rebalance & flips. Orders fire on your chosen cadence or when the sign of exposure changes. Position size. exposure = clamp(TargetVol / realizedVol, maxLong/Short) × dir. Note: The script also exposes Gross Exposure (% equity) and Signed Exposure (× equity) as diagnostics. These can help you audit how vol-targeting and caps translate into sizing over time. Visuals & alerts Composite line + columns (color/intensity reflect direction & strength). Entry/Exit bands with green/red fills for quick polarity reads. Hidden plots for each Theme if you want to show them. Optional rebalance labels (direction, gross & signed exposure, σ). Background heatmap keyed to Composite. Alerts Enter/Inc LONG when Composite crosses up (and on rebalance bars). Enter/Inc SHORT when Composite crosses down (and on rebalance bars). Exit to FLAT when Composite returns toward neutral (and on rebalance bars). Practical tips Start higher timeframes. Daily signals with Monthly rebalance are a good baseline; weekly signals with quarterly rebalances are even cleaner. Tune Entry/Exit bands before anything else. Wider bands = fewer trades and less noise. Weights reflect regime. If policy dominates markets, raise Monetary Policy weight; if credit stress drives moves, raise Risk Sentiment. Proxies are swappable. Use UUP for USD, or futures-continuous symbols that match your data plan. Futures vs ETFs. Quantity auto-rounds for futures; ETFs accept fractional shares. Check contract multipliers when interpreting exposure. Caveats Macro proxies can repaint at the selected signal timeframe as higher-TF bars form; that’s intentional for macro sampling, but test live. Vol targeting assumes reasonably stationary realized vol over the lookback; if markets regime-shift, revisit volLook and targetVol. If you disable normalization/winsorization, themes can become spikier; expect more hysteresis band crossings. What to change first (quick start) Set Signal Timeframe = D, Rebalance = Monthly, Z-score on, Winsor on (MAD). Entry/Exit bands: 0.25 / 0.12 (defaults), then nudge until trade count and turnover feel right. TargetVol: try 10% for diversified indices; lower for single stocks, higher for vol-sell strategies. Leave weights = 1.0 until you’ve inspected the four theme lines; then tilt deliberately.
Estratégia Pine Script®
por GabrielAmadeusLau
Not Your Daddy's EMA CrossoverNot Your Daddy's EMA Crossover - Quick Guide What It Does This isn't your typical 50/200 EMA crossover. It uses academically-proven, optimized EMA periods specifically backtested for crypto markets. Instead of generic settings, it adapts to different trading styles with research-backed parameter combinations that have demonstrated real returns. Core Logic Enters when fast EMA crosses slow EMA in the trend direction (confirmed by 200 SMA filter) Exits either on opposite EMA cross (trend-following) or at fixed profit targets (scalping) Uses a 200 SMA to filter trades - only longs above it, only shorts below it Key Settings & Toggles 1. Trading Style (Auto-adjusts EMA periods): "15 Min Scalping": 9/21 EMA - Fast-paced, frequent signals "1 Hour Swing": 13/48 EMA - For swing trading "Daily Trend": 15/150 MA - Captured +97.87% in bull runs 2. Entry Method: "Crossover Entry": Enters immediately on EMA cross "Pullback to EMA Entry": Waits for first pullback to slow EMA (better risk/reward) 3. Exit Method: "EMA Cross Exit": Trend-following, lets winners run until EMAs reverse "Fixed % Target (Scalping)": Quick 0.5-1% profits with tight stops 4. Optional Features: MACD Confirmation: Adds 6-15-1 MACD filter for higher-probability setups Periodic Compounding: Compounds every 30 hours (research shows 1-30 hour compounding is optimal) Recommended Timeframes 📊 Match your chart to your selection: Select "15 Min Scalping" → Use 15-minute chart Select "1 Hour Swing" → Use 1-hour chart Select "Daily Trend" → Use daily chart I personally like this on the daily, which coincidentally is printing a long signal today on Bitcoin. Enjoy!
Estratégia Pine Script®
por MonkeyPhone
Universal Breakout Strategy [KedArc Quant]Description: A flexible breakout framework where you can test different logics (Prev Day, Bollinger, Volume, ATR, EMA Trend, RSI Confirm, Candle Confirm, Time Filter) under one system. Choose your breakout mode, and the strategy will handle entries, exits, and optional risk management (ATR stops, take-profits, daily loss guard, cooldowns). An on-chart info table shows live mode values (like Prev High/Low, Bollinger levels, RSI, etc.) plus P&L stats for quick analysis. Use it to compare which breakout style works best on your instrument and timeframe, whether intraday, swing, or positional trading 🔑 Why it’s useful * Flexibility: Switch between breakout strategies without loading different indicators. * Clarity: On-chart info table displays current mode, relevant indicator levels, and live strategy P&L stats. * Testing efficiency: Quickly A/B test different breakout styles under the same backtest environment. * Transparency: Every trade is rule-based and displayed with entry/exit markers. 🚀 How it helps traders * Lets you experiment with breakout strategies quickly without loading multiple scripts. * Helps identify which breakout method fits your instrument & timeframe. * Gives clear on-chart visual + statistical feedback for confident decision-making. ⚙️ Input Configuration * Breakout Mode → choose which strategy to test: * *Prev Day* → breakouts of yesterday’s High/Low. * *Bollinger* → Upper/Lower BB pierce. * *Volume* → Breakout confirmed with volume above average. * *ATR Stop* → Wide range breakout using ATR filter. * *Time Filter* → Breakouts inside defined session hours. * *EMA Trend* → Breakouts only in EMA fast > slow alignment. * *RSI Confirm* → Breakouts with RSI confirmation (e.g. >55 for longs). * *Candle Confirm* → Breakouts validated by bullish/bearish candle. * Lookback / ATR / Bollinger inputs → adjust sensitivity. * Intrabar mode → option to evaluate breakouts using bar highs/lows instead of closes. * Table options → show/hide info table, show/hide P&L stats, choose corner placement. 📈 Entry & Exit Logic * Entry → occurs when breakout condition of chosen mode is met. * Exit → default exits via opposite signals or optional stop/target if enabled. * Session filter → optional auto-flat at session end. * P&L management → optional daily loss guard, cooldown between trades, and ATR-based stop/take profit. ❓ FAQ — Choosing the best setup Q: Which strategy should I use for which chart? * *Prev Day Breakouts*: Best on indices, FX, and liquid futures with strong daily levels. * *Bollinger*: Works well in range-bound environments, or crypto pairs with volatility compression. * *Volume*: Good on equities where breakout strength is tied to volume spikes. * *ATR Stop*: Suits volatile instruments (commodities, crypto). * *EMA Trend*: Useful in trending markets (stocks, indices). * *RSI Confirm*: Adds momentum filter, better for swing trades. * *Candle Confirm*: Ideal for scalpers needing visual confirmation. * *Time Filter*: For intraday traders who want signals only in high-liquidity sessions. Q: What timeframe should I use? * Intraday traders → 5m to 15m (Time Filter, Candle Confirm). * Swing traders → 1H to 4H (EMA Trend, RSI Confirm, ATR Stop). * Position traders → Daily (Prev Day, Bollinger). * Breakout A trade entry condition triggered when price crosses above a resistance level (for longs) or below a support level (for shorts). * Prev Day High/Low Formula: Prev High = High of (Day ) Prev Low = Low of (Day ) * Bollinger Bands Formula: Basis = SMA(Close, Length) Upper Band = Basis + (Multiplier × StdDev(Close, Length)) Lower Band = Basis – (Multiplier × StdDev(Close, Length)) * Volume Confirmation A breakout is only valid if: Volume > SMA(Volume, Length) * ATR (Average True Range) Measures volatility. Formula: ATR = SMA(True Range, Length) where True Range = max(High–Low, |High–Close |, |Low–Close |) * EMA (Exponential Moving Average) Weighted moving average giving more weight to recent prices. Formula: EMA = (Price × α) + (EMA × (1–α)) with α = 2 / (Length + 1) * RSI (Relative Strength Index) Momentum oscillator scaled 0–100. Formula: RSI = 100 – (100 / (1 + RS)) where RS = Avg(Gain, Length) ÷ Avg(Loss, Length) * Candle Confirmation Bullish candle: Close > Open AND Close > Close Bearish candle: Close < Open AND Close < Close Win Rate (%) Formula: Win Rate = (Winning Trades ÷ Total Trades) × 100 * Average Trade P&L Formula: Avg Trade = Net Profit ÷ Total Trades 📊 Performance Notes The Universal Breakout Strategy is designed as a framework rather than a single-asset optimized system. Results will vary depending on the chart, timeframe, and asset chosen. On the current defaults (15-minute, INR-denominated example), the backtest produced 132 trades over the selected period. This provides a statistically sufficient sample size. Win rate (~35%) is relatively low, but this is balanced by a positive reward-to-risk ratio (~1.8). In practice, a lower win rate with larger wins versus smaller losses is sustainable. The average P&L per trade is close to breakeven under default settings. This is expected, as the strategy is not tuned for a single symbol but offered as a universal breakout framework. Commissions (0.1%) and slippage (1 tick) are included in the simulation, ensuring realistic conditions. Risk management is conservative, with order sizing set at 1 unit per trade. This avoids over-leveraging and keeps exposure well under the 5-10% equity risk guideline. 👉 Traders are encouraged to: Experiment with inputs such as ATR period, breakout length, or Bollinger parameters. Test across different timeframes and instruments (equities, futures, forex, crypto) to find optimal setups. Combine with filters (trend direction, volatility regimes, or volume conditions) for further refinement. ⚠️ Disclaimer This script is provided for educational purposes only. Past performance does not guarantee future results. Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
Estratégia Pine Script®
por kedarcquant
3
AstraAlgo BacktesterOVERVIEW The AstraAlgo Backtester allows traders to simulate and evaluate trading strategies directly on TradingView. By simulating trades across different timeframes and markets, it provides valuable insights into win rates, drawdowns, and overall strategy effectiveness. SIGNAL MODES Signal Modes generate proprietary trade signals based on live price data. Users can choose between Off, Basic, Advanced, or Custom modes to evaluate strategies under different conditions and refine their trading approach. ADJUSTABLE BACKTESTING Parameters for historical simulations can be customized to test different market conditions and trading scenarios. This allows traders to measure strategy performance, including win rate, profit/loss, and risk/reward ratios, helping refine and optimize strategies before live execution. BAR COLORING Bar Coloring highlights bullish and bearish bars on historical charts, allowing traders to visually assess trend direction and trade outcomes during backtesting. This makes it easier to analyze momentum and strategy effectiveness at a glance. ASTRA CLOUD Astra Cloud overlays dynamic support and resistance levels on live price data. These zones adapt automatically to past market movements, helping traders identify areas where trades would have reacted, aiding strategy evaluation and optimization.
Estratégia Pine Script®
por AstraAlgo
Apex Squeeze Breakout Strategy [by SKC]This is the official strategy version of the Apex Squeeze Breakout Trading System (v2.5 by SKC) indicator. 🔍 This script replicates the exact logic and trade behavior of the indicator, including: Multi-factor scoring system (volume spike, squeeze, RSI recovery, momentum breakout, gap) Supertrend-based trend bias and override logic ATR-based dynamic SL/TP Breakeven stop-loss shift after T1 hit Trade logic works for both swing and day trading styles via a toggle 📈 Settings: Use isDayTrading = true for 5m/15m charts Use isDayTrading = false for 1H–Daily swing setups ⚠️ This strategy does not use repainting or offset entries. Backtest results are directly aligned with real-time signals from the original indicator. ✅ Use this strategy to backtest ticker performance, identify high-confidence symbols, and create forward trade plans based on proven edge.
Estratégia Pine Script®
por samaun_khalid
LeiRos PRO — Smart Entry & Target System⚡ Short Description LeiRos PRO is more than an indicator. It is an intelligent next-generation analytical tool designed to visualize the true trajectory of market movement. It reveals the hidden mechanics of price — the attraction points where liquidity is collected and extremes are updated before reversal. 🟢 During bullish phases, the market often reaches for previous highs. Green points of LeiRos PRO highlight the levels price is most likely to reach before completing the impulse. ⚪ In bearish phases, the market tends to sweep uncollected lows. White points indicate where stop hunts and local reversals commonly occur. Built upon the interaction of EMA20 / EMA50 / EMA200, volatility analysis and momentum strength, LeiRos PRO doesn’t just mark levels — it displays realistic targets price is drawn to with high probability. 📈 The higher the timeframe, the clearer and more stable the picture becomes. On H1 and above, the plotted points act as reference zones for those seeking structured, logical price behavior rather than noise. 💡 The main advantage of LeiRos PRO is clarity — it removes guessing. You see where price tends to move and where impulses are likely to end. This is not theory — it’s market behavior visualized. 📘 Full Description LeiRos PRO is a proprietary analytical tool created to precisely visualize directional bias, target zones, and protective stop areas. It combines trend structure, volatility, and price action logic — helping traders see the key areas where the market’s intent becomes clear. 📈 Core Features: Automatic trend detection: analyzes direction using EMA20, EMA50, and EMA200 to define the dominant side of the market. Target visualization (Take-Profit): marks potential liquidity-grab zones where price often completes its move. Protective stop zones (Stop-Loss): highlights areas where logical stops can be placed based on current structure. Adaptive to timeframe: higher timeframes provide cleaner and more reliable reference points, suitable for short-, medium-, and long-term analysis. ⚙️ Recommended Use: As a visual analytical tool for confirming trade direction. On lower TFs — for identifying intraday entry points and potential objectives. On higher TFs (H1 and above) — for building overall market context and defining major targets. Marked points are not entry signals, but contextual reference zones showing potential areas of liquidity collection or impulse completion. ⚠️ Disclaimer: LeiRos PRO is an analytical and visualization tool, not a trading signal or guarantee of results. All trading decisions, entries, exits, and risk management remain solely the responsibility of the user. ✳️ Note: This indicator is part of the LeiRos Project, which develops intelligent systems for advanced market analysis and visualization. Displayed levels adapt dynamically to volatility and timeframe, providing a flexible view of current market structure.
Estratégia Pine Script®
por Veloria-PRO-Clien