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Safe Supertrend Strategy (No Repaint)Overview The Safe Supertrend is a repaint-free version of the popular Supertrend trend-following indicator. Most Supertrend indicators appear perfect on historical charts because they flip intrabar and then repaint after the candle closes. This version fixes that by using close-of-bar confirmation only, making every trend flip 100% stable, safe, and non-repainting. Why This Supertrend Doesn’t Repaint Most Supertrend indicators calculate their trend direction using the current bar’s data. But during a live candle: ATR expands and contracts The upper/lower bands move Price moves above/below the band temporarily A false flip appears → then disappears when the candle closes That is classic repainting. This indicator avoids all of that by using: close > upper close < lower This means: Trend direction flips only based on the previous candle, No intrabar calculations, No flickering signals, No “perfect but fake” historical performance. Every signal you see on the chart is exactly what was available in real-time. How It Works Calculates ATR (Average True Range) and SMA centerline Builds upper and lower volatility bands Confirms trend flips only after the previous bar closes Plots clear bull and bear reversal signals Works on all markets (crypto, stocks, forex, indices) No repainting, no recalc, no misleading flips. Bullish Signal (Trend Up) A bullish trend begins only when: The previous candle closes above the upper ATR band, And this flip is fully confirmed. A green triangle marks the start of a new uptrend. Bearish Signal (Trend Down) A bearish trend begins only when: The previous candle closes below the lower ATR band, And the downtrend is confirmed. A red triangle signals the start of a new downtrend. Inputs ATR Length - default 10 ATR Multiplier - default 3.0 Works on all timeframes and market Simple, but powerful. Why Use This Version Instead of a Regular Supertrend? Most Supertrends: Look great historically But repaint continuously on live charts Give false trend flips intrabar Cannot be reliably used in strategies This version: Uses strict previous-bar logic Never repaints trend direction Works perfectly in live trading Backtests accurately Is ideal for algorithmic strategies Ideal For: Trend-following strategies Breakout trading Algo trading systems Reversal detection Filtering market noise Swing trading & scalping Final Note This is a safer, more reliable Supertrend designed for real-world use — not perfect-looking repaint illusions. If you use Supertrend in your trading system, this no-repaint version ensures your signals are trustworthy and consistent.
Chiến lược Pine Script®
của AIScripts
Pressure Pivots - MPI (Strategy)⇋ PRESSURE PIVOTS — MARKET PRESSURE INDEX STRATEGY A comprehensive reversal trading system that combines order flow pressure analysis, multi-factor confluence detection, and adaptive machine learning to identify high-probability turning points in liquid markets. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ CORE INNOVATION: MARKET PRESSURE INDEX (MPI) Traditional indicators measure price movement. The Market Pressure Index measures the force behind the movement. How MPI Works: Every bar tells two stories through volume distribution: • Buy Pressure: Volume × (Close - Low) / (High - Low) • Sell Pressure: Volume × (High - Close) / (High - Low) • Net Pressure: Buy Pressure - Sell Pressure This raw pressure is then normalized against baseline activity to create the bounded MPI (-1.0 to +1.0): • Smooth Pressure: EMA(Net Pressure, period) • Baseline Activity: SMA(|Net Pressure|, period × 2) • MPI: (Smooth Pressure / Baseline) × Sensitivity What MPI Reveals: MPI > +0.7: Extreme buy pressure → Exhaustion potential MPI = +0.2 to +0.7: Healthy bullish momentum MPI = -0.2 to +0.2: Neutral/balanced pressure MPI = -0.7 to -0.2: Healthy bearish momentum MPI < -0.7: Extreme sell pressure → Exhaustion potential Why It Works: Two bars can both move 10 points, but if one closes at the high on high volume (aggressive buying) and the other closes mid-range on average volume (weak buying), only MPI distinguishes between sustainable momentum and exhaustion. This volume-weighted pressure analysis reveals conviction behind price moves—the key to timing reversals. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SEVEN-FACTOR CONFLUENCE SYSTEM MPI extremes alone aren't enough. The system requires multiple independent confirmations through weighted scoring: 1. DIVERGENCE (Weight: 3.0) — Premium Signal Type: DIV Price makes new high but MPI makes lower high (or inverse for bullish) • Detection: Tracks pivots with 5-bar lookback, compares price vs MPI at pivot points • Signal: Purple triangles, highest weight (pressure weakening while price extends) 2. LIQUIDITY SWEEP (Weight: 2.5) — Premium Signal Type: LIQ Price breaks swing high/low within 0.3 ATR then reverses • Detection: Break within tolerance + close back through level • Signal: Orange triangles, second-highest weight (stop hunt reversal) 3. ORDER FLOW IMBALANCE (Weight: 2.0) — Premium Signal Type: OF Aggressive buying/selling 50% above normal • Detection: EMA(aggressive volume) vs SMA(imbalance) threshold • Signal: Aqua triangles, institutional positioning 4. VELOCITY EXHAUSTION (Weight: 1.5) Parabolic move (2+ ATRs in 3 bars) + extreme MPI • Detection: |3-bar price change / ATR| > threshold + MPI > ±0.5 • Indicates: Momentum deceleration, blow-off top/bottom 5. WICK REJECTION (Weight: 1.5) Single bar: wick > 60% of range, or sequence: 2 bars with 40% + 30% wicks • Detection: Shooting stars (bearish) or hammers (bullish) • Indicates: Intrabar rejection, battle won by opposing side 6. VOLUME SPIKE (Weight: 1.0) Volume > 20-bar average × multiplier (default: 2.0x) • Detection: Participation surge confirmation • Lowest weight: Can be manipulated, better as confirmation 7. POSITION FACTOR (Weight: 1.0) At 10-bar highest (bearish) or lowest (bullish) • Detection: Structural positioning for reversal • Base requirement: Must be at extreme to score Scoring Logic: Premium Signals (DIV/LIQ/OF): Must score ≥6.0 (default premiumThreshold) Standard Signals (STD): Must score ≥4.0 (default standardThreshold) Example Scoring: Divergence (3.0) + Liquidity Sweep (2.5) + Volume (1.0) = 6.5 → FIRES (DIV signal) Recent High (1.0) + Wick (1.5) + Volume (1.0) + Velocity (1.5) = 5.0 → FIRES (STD signal) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ADAPTIVE LEARNING ENGINE Unlike static strategies, this system learns from every trade and optimizes itself. Performance Tracking: Every trade records: • Entry Score: Confluence level at entry • Signal Type: DIV / LIQ / OF / STD • Win/Loss: Boolean outcome • R-Multiple: (Exit - Entry) / (Entry - Stop) • MAE: Maximum Adverse Excursion (worst drawdown) • MFE: Maximum Favorable Excursion (best profit reached) Three Adaptive Parameters: 1. Signal Threshold Adaptation If Win Rate < Target (45%): RAISE threshold → fewer signals, better quality If Win Rate > Target + 10% AND good R: LOWER threshold → more signals, profitable 2. Stop Distance Adaptation If Avg MAE > 0.85 AND WR < 50%: WIDEN stops → reduce premature exits If Avg MAE < 0.4 AND WR > 55%: TIGHTEN stops → reduce risk 3. Target Distance Adaptation If Avg MFE > Target × 1.5: EXTEND targets → capture more of runners If Avg MFE < Target × 0.7: SHORTEN targets → take profits faster Signal Type Filtering: The system tracks performance by type (DIV/LIQ/OF/STD): • If Type WR < 40% AND Avg R < 0.8: Type DISABLED • If Type WR ≥ 40% OR Avg R ≥ 0.8: Type RE-ENABLED Example: If OF signals consistently lose while DIV signals win, system automatically stops taking OF signals and focuses on DIV. Warmup Period: First 30 trades (default) gather baseline data with relaxed thresholds. After warmup, full adaptation activates. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ COMPLETE POSITION MANAGEMENT Dynamic Position Sizing: Base Contracts = (Equity × Risk%) / (Stop Distance × Point Value) Then multiplied by: • Score Bonus: Up to +50% for highest-scoring signals • Signal Type Bonus: DIV signals +50%, LIQ signals +30% • Streak Multiplier: After 3 losses: 50% reduction, After 3 wins: 25% increase Example: High-scoring DIV signal on winning streak = 3-4× larger position than weak STD signal on losing streak Entry Modes: Single Entry: Full size at once, exit at TP2 (or partial at TP1) Tiered Entry: 40% at TP1 (2R), 60% at TP2 (4R adaptive) Stop Management (3 Modes): Structural: Beyond recent 20-bar swing high/low + buffer ATR: Fixed ATR multiplier (default: 2.0 ATR, then adapts) Hybrid: Attempt structural, fallback to ATR if invalid Plus: • Breakeven: Move stop to entry ± 1 tick when 1R reached • Trailing: Activate when 1.5R reached, trail 0.8R behind price • Max Loss Override: Cap dollar risk regardless of calculation Target Management: Fixed Mode: TP1 = 2R, TP2 = 4R Adaptive Mode: TP1 = 2R fixed, TP2 adapts based on MFE analysis Partial Exits: Default 50% at TP1, remainder at TP2 or trailing stop ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ COMPREHENSIVE RISK CONTROLS Daily Limits: • Max Daily Loss: $2,000 default → HALT trading • Max Daily Trades: 15 default → prevent overtrading • Max Concurrent: 2 positions → limit correlation risk Session Controls: • Trading Hours: Specify start/end times + timezone • Weekend Block: Optional (avoid crypto weekend volatility) Prop Firm Protection (Live Trading Only): • Daily Loss Limit: Stricter of general or prop limit ($1,000 default) • Trailing Drawdown: Tracks high water mark, HALTS if breach ($2,500 default) • Reset on Reload: Optional high water mark reset Liquidity Filter (Optional): • Time-Based: Avoid first/last X minutes of session • Volume-Based: Require minimum volume ratio (0.5× average default) Market Regime Filter (Optional): • ADX-Based: Only trade when ADX > threshold (trending) • Block: Consolidation (ADX < 20) or Transitional regimes ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ REAL-TIME DASHBOARD MPI Gauge Section: Shows current pressure: 🟢 STRONG BUY (+0.5 to +1.0), 🟩 BUY PRESSURE (+0.2 to +0.5), ⚪ NEUTRAL (-0.2 to +0.2), 🟥 SELL PRESSURE (-0.5 to -0.2), 🔴 STRONG SELL (-1.0 to -0.5) Signal Status Section: • Active Signals: "🔴 DIV SELL" (purple background), "🟢 LIQ BUY" (orange), "🔵 OF SELL" (aqua), "🟢 STD BUY" (green) • Warnings: "⚠️ BEAR WARNING" / "⚠️ BULL WARNING" (yellow) — setup forming, not full signal • Scanning: "⏳ SCANNING..." (gray) — no signal active • Confidence Bar: Visual score display "██████░░░░" showing confluence strength Divergence Indicator: "🟣 BEARISH DIVERGENCE" or "🟡 BULLISH DIVERGENCE" when detected Performance Statistics: • Overall Win Rate: Wins/Total with visual bar (lime ≥70%, yellow 50-70%, red <50%) • Directional: Bearish vs Bullish win rates separately • By Signal Type: DIV / LIQ / OF / STD individual performance tracking ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ KEY PARAMETERS EXPLAINED 🎯 Pressure Engine: • MPI Period (5-50, default: 14): Smoothing period — lower for scalping, higher for position trading • MPI Sensitivity (0.5-5.0, default: 1.5): Amplification — lower compresses range, higher more extremes 🔍 Detection: • Wick Threshold (0.3-0.9, default: 0.6): Minimum wick-to-range ratio for rejection • Volume Spike (1.2-3.0x, default: 2.0): Multiplier above average for spike • Aggressive Ratio (0.5-0.9, default: 0.65): Close position in range for aggressive orders • Velocity Threshold (1.0-5.0 ATR, default: 2.0): ATR-normalized move for exhaustion • MPI Extreme (0.5-0.95, default: 0.7): Level considered overbought/oversold ⚖️ Weights: • Divergence: 3.0 (highest — pressure weakening) • Liquidity: 2.5 (second — stop hunts) • Order Flow: 2.0 (institutional positioning) • Velocity: 1.5 (momentum exhaustion) • Wick: 1.5 (rejection patterns) • Volume: 1.0 (lowest — can be manipulated) 🎚️ Thresholds: • Premium (4.0-15.0, default: 6.0): Score for DIV/LIQ/OF signals • Standard (2.0-8.0, default: 4.0): Score for STD signals • Warning Confluence (1-4, default: 2): Factors for yellow diamond warnings 🧬 Adaptive: • Enable (true/false, default: true): Master learning switch • Warmup Trades (5-100, default: 30): Data collection before adaptation • Lookback (20-200, default: 50): Recent trades for performance calculation • Adapt Speed (0.05-0.50, default: 0.15): Parameter adjustment rate • Target Win Rate (30-70%, default: 45%): Optimization goal • Target R-Multiple (0.5-5.0, default: 1.5): Risk/reward goal 💼 Position: • Base Risk (0.1-10.0%, default: 1.5%): Equity risked per trade • Max Contracts (1-100, default: 10): Hard position limit • DIV Bonus (1.0-3.0x, default: 1.5): Size multiplier for divergence signals • LIQ Bonus (1.0-3.0x, default: 1.3): Size multiplier for liquidity signals 🛡️ Stops: • Mode (Structural/ATR/Hybrid, default: ATR): Stop placement method • ATR Multiplier (0.5-5.0, default: 2.0): Stop distance in ATRs (adapts) • Breakeven at (0.3-3.0R, default: 1.0R): When to move stop to entry • Trail Trigger (0.5-5.0R, default: 1.5R): When to activate trailing • Trail Offset (0.3-3.0R, default: 0.8R): Distance behind price 🎯 Targets: • Mode (Fixed/Adaptive, default: Fixed): Target placement method • TP1 (0.5-10.0R, default: 2.0R): First target for partial exit • TP2 (1.0-15.0R, default: 4.0R): Final target (adapts in adaptive mode) • Partial % (0-100%, default: 50%): Position percentage to exit at TP1 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ PROFESSIONAL USAGE PROTOCOL Phase 1: Paper Trading (Weeks 1-4) • Setup: Default settings, all adaptive features ON, 0.5% base risk • Goal: 30+ trades for warmup, observe MPI behavior and signal frequency • Adjust: MPI sensitivity if stuck near neutral or always at extremes • Threshold: Raise/lower if too many/few signals Phase 2: Micro Live (Weeks 5-8) • Requirements: WR >43%, at least one type >55%, Avg R >0.8 • Setup: 10-25% intended size, 0.5-1.0% risk, 1 position max • Focus: Execution quality, match dashboard performance • Journal: Screenshot every signal, track outcomes Phase 3: Full Scale (Month 3+) • Requirements: WR >45% over 50+ trades, Avg R >1.2, drawdown <15% • Progression: Months 3-4 (1.0-1.5% risk), 5-6 (1.5-2.0%), 7+ (1.5-2.5%) • Maintenance: Weekly dashboard review, monthly deep analysis • Warnings: Reduce size if WR drops >10%, consecutive losses >7, or drawdown >20% ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ DEVELOPMENT INSIGHTS The Pressure Insight: Emerged from analyzing intrabar volume distribution. Within every candlestick, volume accumulates at different price levels. MPI deconstructs this to reveal conviction behind moves. The Confluence Challenge: Early versions using MPI extremes alone achieved only 42% win rate. The seven-factor confluence system emerged from testing which combinations produced reliable reversals. Divergence + liquidity sweep became the strongest setup (68% win rate in isolation). The Adaptive Breakthrough: Per-signal-type performance tracking revealed DIV signals winning at 71% while OF signals languished at 38%. Adaptive filtering disabled weak types automatically, recovering win rate from 39% to 54% during the 2022 volatility spike. The Position Sizing Revelation: Dynamic sizing based on signal quality and recent performance increased Sharpe ratio from 1.2 to 1.9 while decreasing max drawdown from 18% to 12% over 500 trades. Bigger positions on better signals = geometric edge amplification. The Risk Control Lesson: Testing with $50K accounts revealed catastrophic failure modes: daily loss cascades, overtrading commission bleed, weekend gap blowouts. Multi-layer controls (daily limits, concurrent caps, prop firm protection) became essential. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ LIMITATIONS & ASSUMPTIONS What This Is NOT: • NOT a Holy Grail: Typical performance 52-58% WR, 1.3-1.8 avg R, probabilistic edge • NOT Predictive: Identifies high-probability conditions, doesn't forecast prices • NOT Market-Agnostic: Best on liquid auction-driven markets (futures, forex, major crypto) • NOT Hands-Off: Requires oversight for news events, gaps, system anomalies • NOT Immune to Regime Changes: Adaptive engine helps but cannot predict black swans Critical Assumptions: 1. Volume reflects intent (valid for regulated markets, violated by wash trading) 2. Pressure extremes mean-revert (true in ranging/exhaustion, fails in paradigm shifts) 3. Stop hunts exist (valid in liquid markets, less in thin/random walk periods) 4. Past patterns persist (valid in stable regimes, fails when structure fundamentally changes) Works Best On: Major futures (ES, NQ, CL), liquid forex pairs (EUR/USD, GBP/USD), large-cap stocks, BTC Performs Poorly On: Low-volume stocks, illiquid crypto pairs, news-driven headline events ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ RISK DISCLOSURE Trading futures, forex, and leveraged instruments involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. This strategy is provided for educational purposes only and should not be construed as financial advice. The adaptive engine learns from historical data—there is no guarantee that past relationships will persist. Market conditions change, volatility regimes shift, and black swan events occur. No strategy can eliminate the risk of loss. Users must validate performance on their specific instruments and timeframes before risking capital. The developer makes no warranties regarding profitability or suitability. Users assume all responsibility for trading decisions and outcomes. "The market doesn't care about your indicators. It only cares about pressure—who's willing to pay more, who's desperate to sell. Find the exhaustion. Trade the reversal. Let the system learn the rest." Taking you to school. — Dskyz, Trade with insight. Trade with anticipation.
Chiến lược Pine Script®
của DskyzInvestments
PA Builder [PrimeAutomation]1. PA Builder – Overview PA Builder is not a fixed strategy; it’s a framework for building strategies. Instead of giving traders one rigid system, it provides a toolbox where entries, exits, filters, risk parameters, and automation rules can all be defined and combined. The core philosophy is confluence: the idea that a trade should only be taken when multiple independent signals agree. The Builder is built around this principle. Every module; trend, reactors, bands, reversals, volume, structure, divergences, externals can be treated as one layer of confidence. The stronger the alignment across layers, the higher the quality of the setup in theory. In practice, this means PA Builder encourages traders to think in terms of “confluence,” not single indicators. Trend and positioning define whether you should even be looking for longs or shorts. Timing tools such as bands, reversals and candlestick structures determine when inside that broader bias you want to engage. Confirmation tools like volume and flow tell you whether capital is actually supporting the move. Filter systems then ensure that even if everything looks good locally, you still respect higher-timeframe or opposing warnings. The Builder’s philosophy is simple: enter less often, but only when conditions are genuinely in your favour. 2. Core Entry Signal Components The entry logic in PA Builder is built on a set of signal engines that can be combined in many ways. Trend Signals form a natural foundation. They use low-lag low-pass filters, borrowed from audio signal processing, to extract directional bias from price without the classic delay of classical moving averages. The sensitivity parameter controls how reactive this engine is: lower values favour cleaner trends and fewer whipsaws, while higher values are better suited to short-term intraday trading where speed matters more than smoothness. Many traders start by requiring that Trend Signals show “all bullish” or “all bearish” before allowing any entries in that direction. Trend signals firing short positions On top of this directional backbone, the Dynamic Reactor behaves as an adaptive baseline. It accelerates in volatile phases and slows down during consolidation, effectively acting as a moving reference point for both trend and price position. A typical use of this module is to insist that, for long trades, the price sits above a bullish reactor; for shorts, below a bearish one. At the higher-timeframe level, the Quantum Reactor provides a VWAP-style reference that can be anchored to larger candles than the chart you are trading. A common configuration is to trade on a 15-minute chart while requiring that price is above the 4-hour Quantum Reactor for longs or below it for shorts. The “fast” and “slow” options determine how quickly this reference adapts to new information. Timing is then refined with tools like Quantum Bands, reversals and candle structure analysis. Quantum Bands identify extremes within the current environment. In an uptrend, a tag of the lower band can be treated as a pullback rather than a breakdown; in a downtrend, the upper band acts like a shorting zone. Many traders combine “trend up and above higher-timeframe reactor” with “price temporarily below lower band” to construct a mean-reversion entry inside a larger uptrend. Reversal detection modules examine recent bars to find turning points, with shorter lookbacks capturing fast flips and longer lookbacks tracking deeper structural changes. Candle structure logic goes beyond classical candlestick names and instead focuses on whether price action confirms follow-through or reversion behaviour, with options like “2X” modes that wait for two successive confirmations before acting. Before and after filtering using reactor applied. Additional confirmation layers come from Volume Matrix, Money Flow, OSC True7 and divergence detection. Volume and flow tools answer whether actual capital is participating in the move or whether price is drifting on thin activity. OSC True7 categorises the state of the trend into intuitive buckets, strong, healthy, neutral, or exhausted, making it easier to avoid chasing extremes. Divergences between price and momentum can be used either as entry triggers in contrarian systems or as hard filters that block trades when warning signs are present. Finally, two external indicator inputs make it possible to integrate RSI, MACD, custom indicators or even other strategies into the Builder, either as simple thresholds or as comparative logic between two external sources (for example, requiring a fast EMA to be above a slow EMA before allowing longs). 3. Exit System & Trade Management The exit systems in PA Builder are designed to be as vital as the entry logic. It assumes exits are not an afterthought, but half of the edge. Instead of forcing a single take profit point, the system uses a three-tier structure where you can assign different portions of the position to different targets. A common pattern is to scale out a small portion early (for example at one ATR), another portion at an intermediate level, and keep the largest slice for a deeper move. This creates a natural balance: you book something early to reduce emotional stress, while leaving room to participate in the full potential of a trend. Targets can be defined using ATR multiples or risk-to-reward ratios that are directly tied to the initial stop distance. Using ATR keeps exits proportional to current volatility. A two ATR target in a quiet environment is very different in absolute price distance from the same multiple in a high-volatility environment, yet conceptually it represents the same “size” move. Risk-to-reward exits build on this by ensuring that if you risk one unit (1R), the reward targets are set at predefined multiples of that risk. This enforces positive expectancy at the structural level: the strategy cannot generate entries with inherently negative payoffs. Once price begins to move in your favour, trailing logic takes over if you choose to enable it. Trailing can begin immediately from entry or only after a target has been hit. Many users prefer to let TP1 and TP2 behave as fixed profit points and then apply a trailing stop or trailing take profit to the final remainder. That way, routine winners are banked mechanically, while occasional explosive moves can be ridden for as long as the market allows. The breakeven module supports this behaviour by automatically moving stops to entry (or slightly through entry into profit) after a specified condition such as TP1 being hit. This transforms the risk profile mid trade: once breakeven has been secured, remaining size can be managed with much less psychological pressure. The system also recognises the cost of time. Kill Switch functionality exits trades that have been open too long under mediocre conditions, typically when they are in modest profit but not progressing. This protects you from capital being tied up while better opportunities appear elsewhere. Underlying all of this are several trailing stop mechanisms: percentage-based, tick-based for very short-term strategies, TP linked trailing that activates only once a certain profit threshold has been achieved, and ATR based trailing that automatically scales the trail distance with volatility. Each method serves a slightly different profile of strategy, but all share the same aim: preserve gains and limit downside in a structured way rather than rely on discretionary judgement after the fact. 4. Filters and Risk Management The filter systems in PA Builder formalise the idea that good trading is often about knowing when not to act. “Do Not Trade” conditions can be configured so that even a perfectly aligned bullish entry stack is overridden if certain bearish evidence is present. These can include higher timeframe reversal structures, powerful opposing divergences, or conflicting signals in key modules. By assigning conditions specifically to “Do Not Long” and “Do Not Short” rather than only to entries, you create asymmetry: buying requires bullish evidence and an absence of strong bearish warnings; selling requires the mirror. Volatility filters extend this logic to the regime level. Some strategies are inherently suited to low volatility, range bound environments where fading extremes is profitable; others require expansion and energy to function properly. By binding trading permission to volatility ranges, you ensure that a mean-reversion system does not blindly attempt to fade a breakout, and that a momentum system does not spin its wheels in a dead, sideways market. You can even reference volatility from a higher timeframe than the one you trade, so that a five-minute strategy is still aware of the broader one-hour volatility regime it sits inside. Applied DO NOT TRADE - removes poor signal Risk management and position sizing are configured so each trade is expressed in units of risk rather than arbitrary size. Leverage, in this framework, is simply a scaling factor for capital efficiency; the actual risk per trade is still controlled by the distance between entry and stop and the percentage of equity you choose to expose. Reinvestment options then decide what proportion of accumulated profit is fed back into position sizing. A more aggressive reinvestment setting accelerates compounding but increases the amplitude of drawdowns; a more conservative one smooths the equity curve at the cost of slower growth. The Base Trade Value parameter ties all of this together by deciding how much nominal capital or how many contracts are committed per trade in light of your maximum allowed simultaneous positions and your intended use of leverage. External exit conditions provide further flexibility. For example, you might design a system whose entries rely purely on PA Builder’s internal modules, but whose exits use RSI readings, moving average crosses, or a proprietary external indicator. The separation of entry and exit logic allows you to bolt on different behaviours at the tail end of trades while keeping your core signal engine intact. In all cases, the objective is the same: express risk in a controlled, repeatable way that can survive long stretches of unfavourable market conditions. 5. PDT, Cooldowns and Visual Modes For traders subject to Pattern Day Trading rules, PA Builder includes a day-trade tracking system that counts business days correctly and respects the three-trades-in-five-days limit. This goes beyond simple compliance; it forces discipline. When intraday trading is heavily constrained, you are naturally pushed toward swing-oriented strategies with fewer, more selective entries. The tool visually marks your PDT status so you never inadvertently cross the line and trigger a lockout. Cooldown systems address another reality: psychological vulnerability after streaks. Following several consecutive wins, many traders unconsciously loosen their standards, take marginal signals, oversize positions, or overtrade. A win-streak cooldown deliberately pauses trading after a configured number of wins, giving you time to reset. The same applies to losing streaks. After a run of losses, the strongest temptation is often to “make it back now,” which is exactly when discipline is weakest. A loss-streak cooldown enforces a break in activity during this high-risk emotional state, helping to prevent cascading damage driven by revenge trading. Visualisation comes in two main modes. Classic mode emphasises precision: it draws explicit entry lines, stop levels, target levels and fill zones, making it easy to audit risk/reward on each trade, verify that the exit logic behaves as intended, and review historical trades in detail. Modern mode emphasises market feel: instead of focusing on exact levels, it colours candles and backgrounds to reflect momentum, profit state and dynamics. This helps you see at a glance whether a strategy is operating in a smooth trending environment or a choppy, fragmented one, and whether current trades are broadly working or struggling. Many users develop and debug in Classic mode and then monitor live performance in Modern mode, so both representations become part of the workflow. 6. Strategy Design Workflow, Examples and Cautions Designing with PA Builder is inherently iterative. You begin with a simple theory and a minimal configuration, perhaps just a trend filter and a basic stop/target structure, and run a backtest. You then examine where the system fails. If you see many losses occurring in counter-trend conditions, you add an additional directional filter or restrict entries with a higher-timeframe reactor condition. If you observe many small whipsaw losses, you might require candle structure confirmation or volume confirmation before allowing an entry. Each change is made one at a time and evaluated. This process gradually builds a layered system where every component has a clear purpose: some reduce drawdown, some increase win rate, some cut out only the worst trades, and others help capture more of the best ones. A conservative swing strategy might need an agreement between short-term trend signals, a higher-timeframe Quantum position, and a bullish Dynamic Reactor state, while checking that volume supports the move and that no significant bearish reversals or divergences are present on higher timeframes. It might accept relatively few trades, but each trade would be tightly controlled, scaled out over several ATR-based targets and protected with breakeven and trailing logic. On the opposite end, an aggressive scalping configuration would relax some filters, favour faster sensitivities, use short lookback reversals, and tighten stops and targets dramatically, relying on high frequency and careful volatility filtering to maintain edge. Throughout all of this, overfitting remains the main danger. The more parameters you tune and the more coincidental rules you add to make the backtest equity curve smoother, the more likely it is that you are capturing noise rather than a real, repeatable edge. Signs of overfitting include heavily optimised numeric values with no intuitive justification, large differences between in-sample and out-of-sample results, or strategies that work spectacularly in very specific regimes and collapse elsewhere. To mitigate this, keep strategies as simple as possible, test across different market regimes (bull, bear, range), and accept that robust systems usually look less “perfect” on the historical chart. Bridging the gap from backtest to live trading is another critical step. Before risking capital, it is wise to paper trade the configuration for a number of trades to confirm that signal frequency, behaviour and execution align with expectations. When going live, starting with minimal size and gradually scaling up based on real-world performance helps manage both financial and psychological risk. If live results diverge significantly from backtest expectations due to slippage, fees, or changing market conditions, you can adjust, reduce size, or temporarily pause rather than commit fully to a failing configuration. Ultimately, PA Builder is designed to be a tool for building structured, rules-driven trading systems. It gives you the tools to express your ideas, test them, refine them, and run them under controlled risk. It does not remove uncertainty or guarantee results, but it does provide a clear, transparent way to translate trading concepts into executable, testable logic, and to evolve those systems as markets change and your understanding deepens.
Chiến lược Pine Script®
của ChartPrime
4
Wavelet Alligator – Separate Entry/Exit Experts & Wavelets-V2 Wavelet Alligator – Strategy Explanation & How to Use 1. Concept Overview The Wavelet Alligator strategy combines: - Wavelet transforms (Daubechies, Haar, Symlet, Mexican Hat, Morlet) - Fractional calculus kernels: Caputo-Fabrizio (CF) and Atangana-Baleanu (AB) - Three-layer “alligator-like” wavelet smoothing (soft → medium → strong) - Expert-based entry/exit routing (RAW, CF, AB, or Majority vote) - Independent wavelets for ENTRY and EXIT - Main trend defined by AB wavelet ordering This creates a multi-structure, multi-kernel trend engine capable of capturing extended moves with high signal quality. 2. Wavelet Alligator Structure Each source (RAW, CF, AB) is transformed into three wavelet layers: Soft = fastest reaction Medium = mid smoothing Strong = trend backbone Wavelets: - Daubechies: stable trend - Haar: fast impulse detection - Symlet: balanced - Mexican Hat: curvature and reversal detection - Morlet: cyclic, oscillatory 3. Entry Logic Long entry occurs when: - AB wavelet shows bullish structure (soft > medium > strong, medium rising) - Selected entry expert approves (RAW / CF / AB / Majority) - Wavelet condition: soft > strong AND medium crosses above strong 4. Exit Logic Exit is independent from entry: - Controlled by chosen exit expert - Wavelet reversal condition: soft < strong AND medium crosses below strong - Forced exit when AB trend turns neutral or bearish 5. Background Color (Regime) - Green: bullish AB regime - Red: bearish AB regime - Gray: neutral/transition 6. How to Use Step 1 – Choose entry wavelet Daubechies: stable trend Haar: breakout scalping Mexican Hat: early reversals Symlet: balanced Morlet: cyclic markets Step 2 – Choose exit wavelet Mexican Hat: best precision Daubechies: smooth exits Haar: aggressive exits Step 3 – Select entry/exit experts CF only – fast fractional trend AB only – stable long-memory trend RAW only – pure price structure Majority – safest, noise-filtered Step 4 – Run the strategy Entries occur only during AB bullish trend. Exits occur on wavelet reversal or AB trend failure. 7. Why This Strategy Works It fuses: - Fractional calculus (memory) - Wavelets (shape/curvature) - Alligator ordering (trend hierarchy) Result: high-quality entries, strong trend holding, noise-resistant signals.
Chiến lược Pine Script®
của wojlucz
RubberBand Scalp NQ Strategy (V6 - High PF Focus) ================================================================================ RUBBERBAND SCALP NQ (V6 - HIGH PF FOCUS) ================================================================================ // STRATEGY OVERVIEW // ----------------- // Instrument: NQ (Nasdaq 100 E-mini Futures) // Style: Intraday mean-reversion scalping // Core Idea: Price "stretches" away from VWAP, then "snaps back" → enter on strong reversal // Session: 9:00 AM – 2:30 PM CST (America/Chicago) // Timeframe: 1–5 min (ideal: 2–3 min) // Position: 2 contracts, pyramiding = 0 // Commission: $2.00 per contract // Goal: High Profit Factor via asymmetric exits (1R fixed + unlimited runner) // KEY FILTERS // ----------- // • Only trade when ATR(15) > 5.0 points (~$100 range) → avoids chop // • Must be in session → forces flat at 2:30 PM // • VWAP proximity: price must touch within 0.5 × ATR of VWAP // ENTRY LOGIC (LONG) // ----------------- // 1. In session & no position // 2. Close > Open (bullish bar) // 3. Close > highest high of last 4 bars → momentum confirmation // 4. Close > VWAP // 5. Low < VWAP + (0.5 × ATR) → pullback reached VWAP zone // 6. ATR > 5.0 // 7. Bar confirmed // → Plot green triangle below bar // ENTRY LOGIC (SHORT) – Symmetric // ----------------- // 1. Close < Open // 2. Close < lowest low of last 4 bars // 3. Close < VWAP // 4. High > VWAP - (0.5 × ATR) // 5. ATR > 5.0 // → Plot red triangle above bar // STOP LOSS – DUAL SYSTEM (Widest Stop Wins) // ----------------------------------------- // VWAP Stop (Long): VWAP - 0.20 // ATR Stop (Long): Close - min(ATR × 1.0, 15.0) // Final Stop: MAX(VWAP Stop, ATR Stop) → then CAP at Close - 0.20 // Short: MIN of both → FLOOR at Close + 0.20 // → Max buffer: 0.20 pts = $20 (4 ticks) // → Risk = |Entry – Final Stop| // PROFIT TAKING – 2 CONTRACTS // --------------------------- // Contract #1: Fixed 1R → limit = entry + risk (long) / entry - risk (short) // Contract #2: Trailing stop only → trail_points = risk, trail_offset = 0 // NO FIXED TAKE PROFIT ON RUNNER → lets 3R, 5R, 10R+ winners run // BUG: Short runner uses trail_offset = 1.5 → CHANGE TO 0 // V6 IMPROVEMENTS // --------------- // 1. ATR_STOP_MULTIPLIER reduced from 1.5 → 1.0 → tighter average loss // 2. Removed fixed 2R cap on runner → unlimited upside // 3. Widest-stop logic → prevents premature stop-outs // TRADE EXAMPLE (LONG) // ------------------- // Entry: 18,125 (2 contracts) // Stop: 18,110 → Risk = $300/contract // 1R: 18,155 → Contract #1 exits (+$600) // Runner trails by $300 → exits at 18,425 (+$6,000) // Total P&L: +$6,600 // PERFORMANCE EXPECTATIONS // ------------------------ // Win Rate: 40–50% // Avg Winner: >3× avg loser // Profit Factor: 2.0–3.5+ // Max Drawdown: <5% (with risk controls) // DAILY CHECKLIST // --------------- // 2–3 min NQ chart // Timezone: America/Chicago // ATR > 5.0 // Price touched VWAP zone // 4-bar breakout confirmed // trail_offset = 0 (both sides) // Alerts on // Log R-multiple // FINAL NOTES // ----------- // This is a PROFIT FACTOR system — not a high win-rate system. // Success = discipline + volatility + clean execution. ================================================================================
Chiến lược Pine Script®
của mattkelly914
SMC Adaptive Breakout v1XSMC Adaptive Breakout v1X — Adaptive Smart Money Breakout Strategy SMC Adaptive Breakout v1X is a Smart-Money–inspired breakout strategy that adapts to changing volatility and market structure in real time. It identifies recent pivot structure, verifies volatility expansion, uses ATR-scaled stops, and manages exits with fixed profit targets plus price-based trailing. Why this strategy is unique / original This strategy combines three concept layers into a single, cohesive system: (1) structure detection using adaptive pivots, (2) a normalized volatility filter (range percentile over a long lookback) to permit only expansion-phase breakouts, and (3) context-aware trade management using ATR-scaled stops and percentage-based profit/ trailing rules. The combination reduces false breakouts during low-volatility periods while preserving entries when institutional-style expansion occurs. Core logic (high level) 1. Structure detection: recent pivot highs and lows (configurable lookback) form the active Support and Resistance reference levels used to define breakouts. 2. Volatility confirmation: raw bar range is normalized into a percentile within a long volatility lookback window; breakouts are only considered when normalized volatility exceeds the user filter threshold. 3. Order-block / gap detection: the script detects large price gaps relative to ATR(200) and flags them as bullish/bearish gaps (order-block style footprints) to add confluence to entries. 4. Entry criteria: a long entry is signalled when price closes above the most recent resistance and the volatility filter is satisfied (or a bullish gap condition is met). Shorts mirror this logic below support. Debug/force flags allow manual/backtest forcing of trades. 5. Risk & exits: stops are ATR-based (ATR length configurable, multiplier configurable) giving context-aware stop distances. Each entry sets a profit target as a percent of entry and attaches a trailing exit (points and offset defined as percent of price) to protect profits. Exits are placed with one strategy.exit per entry so they are executed by the strategy engine. 6. Non-premature confirmation: entries are determined using closed-bar conditions (no intrabar triggers), consistent with strategy backtesting expectations. Key inputs (and what they control) 1. Levels Period (length) — pivot lookback used to compute support/resistance structure; larger values = larger, fewer zones. 2. Volatility Filter (filter 0–100) — normalized volatility threshold (percentile) required to allow breakout signals. Increase to reduce signals during quiet markets. 3. Volatility lookback (volatility_len) — window length used to normalize the raw range into a percentile. 4. ATR length (atr_len) & ATR Stop Multiplier (atr_multiplier) — ATR parameters used for stop distance; ATR gives volatility-adaptive stop sizing. 5. Profit target (%) — target as percent of entry price. 6. Trailing points (%) & offset (%) — trailing stop size and activation offset, expressed as percent of price (converted internally to price points). 7. Visual & debug toggles — show/hide levels, entry markers, and enable debug/force entry flags for manual/backtest validation. Practical Usage & Recommended Settings Timeframes – Works efficiently across multiple time horizons. • 5–15 minutes → Scalping setups. • 15 minutes–1 hour → Intraday opportunities. • 4 hours–1 day → Swing trading confirmation. Adjust length and Volatility Filter parameters to match your timeframe and instrument behavior. Default Sensitivity – The default length = 20 offers balanced structure detection. • Lower values → faster, more frequent signals. • Higher values → smoother structure and fewer breakouts. Volatility Tuning – Modify the Volatility Filter (0–100) according to market conditions. • Increase the filter during low-volume or choppy sessions to reduce false signals. • Decrease it during trending or high-volatility markets for greater responsiveness. Stop / Target Sizing – ATR-based stop-losses automatically adapt to market volatility. • Recommended starting point: ATR Multiplier = 1.5 and Profit Target = 1.5%. • Fine-tune both based on each asset’s typical volatility profile. Backtesting – Use TradingView’s built-in Strategy Tester to analyze results over different symbols and timeframes. The strategy executes only on bar close, ensuring accurate, non-repainting backtest results. What the strategy plots / visual cues •Forward-extended pivot lines for support/resistance (configurable color/transparency). •Order-block / gap markers when large ATR-scaled gaps are detected. •Entry labels (“LONG” / “SHORT”) at position changes if enabled. •Strategy entries/exits are placed through strategy.entry and strategy.exit so performance reports are available in the Tester. Risk management & notes •This script is a discretionary tool — it automates entries and exits for backtesting and strategy simulation, but users should still confirm trades with broader market context and higher-timeframe bias. •Always run thorough backtests (multi-symbol, multi-timeframe) and forward test on a paper account before any live deployment. •Adjust position sizing externally; the strategy code sets orders and exits but does not enforce a specific money-management sizing rule. Use the strategy tester’s default position size controls or integrate a sizing method in your own workflow. Technical details & behavior •Pine Script v6 strategy. •Uses closed-bar confirmation for signals (no repainting on close). •Order-block / gap detection uses ATR(200) as a volatility reference to identify large structural gaps. •Trail calculations convert percent-based inputs to absolute price units each bar to maintain consistent behavior across price levels. Limitations & disclaimers •Past performance is not indicative of future results. This strategy does not guarantee profits and will produce losing trades. •Results depend on parameter choices, instrument volatility, market regime, and execution slippage. Always test on the exact symbol and timeframe you intend to trade. Invite-only / Access note (for Publish window) This strategy is invite-only. Please use the TradingView Request Access button on this page to request access.
Chiến lược Pine Script®
của shubham_singh_1927
GROK ALTIN B2 ))GROK GOLD PRO V2 is a high-performance scalping strategy designed for XAUUSD on the 5-minute timeframe, operating with a fixed 1-lot position. It generates signals using EMA 9/21 crossover, RSI above/below 50, and volume spikes, while an ATR × 2.0 dynamic stop protects against volatility. Profits are locked in three steps (+$20, +$50, +$100), with each exit triggering real-time phone alerts showing entry, exit price, and profit. One pip movement equals $100 P&L. The strategy delivers a 92%+ win rate, average profit of +$4,432 per trade, and max drawdown of -$1,280. Simple, transparent, and fully automated.
Chiến lược Pine Script®
của feritgerisgen
GROK ALTIN A1 BY FGGROK GOLD PRO V2 is a high-performance scalping strategy designed for XAUUSD on the 5-minute timeframe, operating with a fixed 1-lot position. It generates signals using EMA 9/21 crossover, RSI above/below 50, and volume spikes, while an ATR × 2.0 dynamic stop protects against volatility. Profits are locked in three steps (+$20, +$50, +$100), with each exit triggering real-time phone alerts showing entry, exit price, and profit. One pip movement equals $100 P&L. The strategy delivers a 92%+ win rate, average profit of +$4,432 per trade, and max drawdown of -$1,280. Simple, transparent, and fully automated.
Chiến lược Pine Script®
của feritgerisgen
Vandan V2Vandan V2 is an automated trading strategy for NQ1! (E-mini Nasdaq-100) based on short-term mean reversion with dynamic risk control. It combines volatility filters and overbought/oversold signals to capture local market imbalances. Backtested from 2015 to 2025, it achieved a +730% total return, Profit Factor of 1.40, max drawdown of only 1.61%, and over 106,000 trades. Designed for systematic scalping or intraday arbitrage with a limit of 3 simultaneous contracts.
Chiến lược Pine Script®
của gerasymenko_nazarr
5
XAUUSD 9-Grid Scalper (9-levels, 3pt TP)📈 Overview The XAUUSD 9-Grid Scalper is a precision-based intraday strategy designed for gold scalping around key 9-based price zones. Gold (XAUUSD) often reacts strongly to levels that are multiples of 9, and this script builds a dynamic grid of 18 levels around the current price to capture short-term momentum moves. This strategy uses 9-point take profits (TP) and configurable stop-loss levels, allowing for fast in-and-out scalps within volatile gold sessions. It’s optimized for short-term traders who focus on 1M–5M charts. ⚙️ Core Logic Dynamic 9-Multiples Grid: Automatically plots 18 nearby levels spaced by multiples of 9. Entry Signals: Long when price breaks above a 9-level. Short when price breaks below a 9-level. Take Profit: Fixed at 9 points (configurable). Stop Loss: Adjustable for flexible risk management. Backtest-Ready: Uses strategy() for full performance analytics (win rate, profit factor, drawdown). 💡 Best Use Cases Ideal for gold scalpers during London and New York sessions. Works best on 1M–5M timeframes with high volatility. Combine with volume or trend filters (e.g., RSI, MA slope) for improved accuracy. 🧠 Customization Options Number of grid levels (default: 18) Take profit & stop loss distance (default: 9pt TP) Display toggle for 9-grid visualization Optional filters for session time or volatility ⚠️ Disclaimer This strategy is for educational and research purposes only. Past performance does not guarantee future results. Always test on demo before trading live.
Chiến lược Pine Script®
của harmistest
1
XAUUSD 5m — CET 13:00→01:00 Supertrend + RSI (1:2 RR) — $240KThis strategy is designed for XAUUSD (Gold) on the 5-minute chart, optimized for trading during the most active hours (13:00–01:00 CET). It combines a Supertrend direction filter with RSI crossovers for precise entries, and applies a 1:2 risk–reward ratio for consistent risk management. 🧠 Logic Overview: Buy Signal: RSI crosses above 55 while Supertrend is bullish Sell Signal: RSI crosses below 45 while Supertrend is bearish Trading Hours: 13:00 → 01:00 CET (corresponding to 07:00 → 19:00 New York time) Risk Management: Fixed 1:2 RR (TP = 2× SL distance from Supertrend line) Session Management: Automatically closes all trades after 01:00 CET Order Size: $240,000 notional exposure per position 💡 Best used for: Scalping or intraday trading on XAUUSD during high-volatility hours. The setup works best when combined with strong price action or volume confirmation. ⚠️ Disclaimer: This script is for educational and testing purposes only. Past performance does not guarantee future results. Always test on demo before using live funds.
Chiến lược Pine Script®
của legalPepper72284
Zero Lag Trend Signals (MTF) [Quant Trading] V7Overview The Zero Lag Trend Signals (MTF) V7 is a comprehensive trend-following strategy that combines Zero Lag Exponential Moving Average (ZLEMA) with volatility-based bands to identify high-probability trade entries and exits. This strategy is designed to reduce lag inherent in traditional moving averages while incorporating dynamic risk management through ATR-based stops and multiple exit mechanisms. This is a longer term horizon strategy that takes limited trades. It is not a high frequency trading and therefore will also have limited data and not > 100 trades. How It Works Core Signal Generation: The strategy uses a Zero Lag EMA (ZLEMA) calculated by applying an EMA to price data that has been adjusted for lag: Calculate lag period: floor((length - 1) / 2) Apply lag correction: src + (src - src ) Calculate ZLEMA: EMA of lag-corrected price Volatility bands are created using the highest ATR over a lookback period multiplied by a band multiplier. These bands are added to and subtracted from the ZLEMA line to create upper and lower boundaries. Trend Detection: The strategy maintains a trend variable that switches between bullish (1) and bearish (-1): Long Signal: Triggers when price crosses above ZLEMA + volatility band Short Signal: Triggers when price crosses below ZLEMA - volatility band Optional ZLEMA Trend Confirmation: When enabled, this filter requires ZLEMA to show directional momentum before entry: Bullish Confirmation: ZLEMA must increase for 4 consecutive bars Bearish Confirmation: ZLEMA must decrease for 4 consecutive bars This additional filter helps avoid false signals in choppy or ranging markets. Risk Management Features: The strategy includes multiple stop-loss and take-profit mechanisms: Volatility-Based Stops: Default stop-loss is placed at ZLEMA ± volatility band ATR-Based Stops: Dynamic stop-loss calculated as entry price ± (ATR × multiplier) ATR Trailing Stop: Ratcheting stop-loss that follows price but never moves against position Risk-Reward Profit Target: Take-profit level set as a multiple of stop distance Break-Even Stop: Moves stop to entry price after reaching specified R:R ratio Trend-Based Exit: Closes position when price crosses EMA in opposite direction Performance Tracking: The strategy includes optional features for monitoring and analyzing trades: Floating Statistics Table: Displays key metrics including win rate, GOA (Gain on Account), net P&L, and max drawdown Trade Log Labels: Shows entry/exit prices, P&L, bars held, and exit reason for each closed trade CSV Export Fields: Outputs trade data for external analysis Default Strategy Settings Commission & Slippage: Commission: 0.1% per trade Slippage: 3 ticks Initial Capital: $1,000 Position Size: 100% of equity per trade Main Calculation Parameters: Length: 70 (range: 70-7000) - Controls ZLEMA calculation period Band Multiplier: 1.2 - Adjusts width of volatility bands Entry Conditions (All Disabled by Default): Use ZLEMA Trend Confirmation: OFF - Requires ZLEMA directional momentum Re-Enter on Long Trend: OFF - Allows multiple entries during sustained trends Short Trades: Allow Short Trades: OFF - Strategy is long-only by default Performance Settings (All Disabled by Default): Use Profit Target: OFF Profit Target Risk-Reward Ratio: 2.0 (when enabled) Dynamic TP/SL (All Disabled by Default): Use ATR-Based Stop-Loss & Take-Profit: OFF ATR Length: 14 Stop-Loss ATR Multiplier: 1.5 Profit Target ATR Multiplier: 2.5 Use ATR Trailing Stop: OFF Trailing Stop ATR Multiplier: 1.5 Use Break-Even Stop-Loss: OFF Move SL to Break-Even After RR: 1.5 Use Trend-Based Take Profit: OFF EMA Exit Length: 9 Trade Data Display (All Disabled by Default): Show Floating Stats Table: OFF Show Trade Log Labels: OFF Enable CSV Export: OFF Trade Label Vertical Offset: 0.5 Backtesting Date Range: Start Date: January 1, 2018 End Date: December 31, 2069 Important Usage Notes Default Configuration: The strategy operates in its most basic form with default settings - using only ZLEMA crossovers with volatility bands and volatility-based stop-losses. All advanced features must be manually enabled. Stop-Loss Priority: If multiple stop-loss methods are enabled simultaneously, the strategy will use whichever condition is hit first. ATR-based stops override volatility-based stops when enabled. Long-Only by Default: Short trading is disabled by default. Enable "Allow Short Trades" to trade both directions. Performance Monitoring: Enable the floating stats table and trade log labels to visualize strategy performance during backtesting. Exit Mechanisms: The strategy can exit trades through multiple methods: stop-loss hit, take-profit reached, trend reversal, or trailing stop activation. The trade log identifies which exit method was used. Re-Entry Logic: When "Re-Enter on Long Trend" is enabled with ZLEMA trend confirmation, the strategy can take multiple long positions during extended uptrends as long as all entry conditions remain valid. Capital Efficiency: Default setting uses 100% of equity per trade. Adjust "default_qty_value" to manage position sizing based on risk tolerance. Realistic Backtesting: Strategy includes commission (0.1%) and slippage (3 ticks) to provide realistic performance expectations. These values should be adjusted based on your broker and market conditions. Recommended Use Cases Trending Markets: Best suited for markets with clear directional moves where trend-following strategies excel Medium to Long-Term Trading: The default length of 70 makes this strategy more appropriate for swing trading rather than scalping Risk-Conscious Traders: Multiple stop-loss options allow traders to customize risk management to their comfort level Backtesting & Optimization: Comprehensive performance tracking features make this strategy ideal for testing different parameter combinations Limitations & Considerations Like all trend-following strategies, performance may suffer in choppy or ranging markets Default 100% position sizing means full capital exposure per trade - consider reducing for conservative risk management Higher length values (70+) reduce signal frequency but may improve signal quality Multiple simultaneous risk management features may create conflicting exit signals Past performance shown in backtests does not guarantee future results Customization Tips For more aggressive trading: Reduce length parameter (minimum 70) Decrease band multiplier for tighter bands Enable short trades Use lower profit target R:R ratios For more conservative trading: Increase length parameter Enable ZLEMA trend confirmation Use wider ATR stop-loss multipliers Enable break-even stop-loss Reduce position size from 100% default For optimal choppy market performance: Enable ZLEMA trend confirmation Increase band multiplier Use tighter profit targets Avoid re-entry on trend continuation Visual Elements The strategy plots several elements on the chart: ZLEMA line (color-coded by trend direction) Upper and lower volatility bands Long entry markers (green triangles) Short entry markers (red triangles, when enabled) Stop-loss levels (when positions are open) Take-profit levels (when enabled and positions are open) Trailing stop lines (when enabled and positions are open) Optional ZLEMA trend markers (triangles at highs/lows) Optional trade log labels showing complete trade information Exit Reason Codes (for CSV Export) When CSV export is enabled, exit reasons are coded as: 0 = Manual/Other 1 = Trailing Stop-Loss 2 = Profit Target 3 = ATR Stop-Loss 4 = Trend Change Conclusion Zero Lag Trend Signals V7 provides a robust framework for trend-following with extensive customization options. The strategy balances simplicity in its core logic with sophisticated risk management features, making it suitable for both beginner and advanced traders. By reducing moving average lag while incorporating volatility-based signals, it aims to capture trends earlier while managing risk through multiple configurable exit mechanisms. The modular design allows traders to start with basic trend-following and progressively add complexity through ZLEMA confirmation, multiple stop-loss methods, and advanced exit strategies. Comprehensive performance tracking and export capabilities make this strategy an excellent tool for systematic testing and optimization. Note: This strategy is provided for educational and backtesting purposes. All trading involves risk. Past performance does not guarantee future results. Always test thoroughly with paper trading before risking real capital, and adjust position sizing and risk parameters according to your risk tolerance and account size. ================================================================================ TAGS: ================================================================================ trend following, ZLEMA, zero lag, volatility bands, ATR stops, risk management, swing trading, momentum, trend confirmation, backtesting ================================================================================ CATEGORY: ================================================================================ Strategies ================================================================================ CHART SETUP RECOMMENDATIONS: ================================================================================ For optimal visualization when publishing: Use a clean chart with no other indicators overlaid Select a timeframe that shows multiple trade signals (4H or Daily recommended) Choose a trending asset (crypto, forex major pairs, or trending stocks work well) Show at least 6-12 months of data to demonstrate strategy across different market conditions Enable the floating stats table to display key performance metrics Ensure all indicator lines (ZLEMA, bands, stops) are clearly visible Use the default chart type (candlesticks) - avoid Heikin Ashi, Renko, etc. Make sure symbol information and timeframe are clearly visible ================================================================================ COMPLIANCE NOTES: ================================================================================ ✅ Open-source publication with complete code visibility ✅ English-only title and description ✅ Detailed explanation of methodology and calculations ✅ Realistic commission (0.1%) and slippage (3 ticks) included ✅ All default parameters clearly documented ✅ Performance limitations and risks disclosed ✅ No unrealistic claims about performance ✅ No guaranteed results promised ✅ Appropriate for public library (original trend-following implementation with ZLEMA) ✅ Educational disclaimers included ✅ All features explained in detail ================================================================================
Chiến lược Pine Script®
của Quant_Trading_Pro
1
Mario vr SIT MC Utilizar en el gráfico 4 1 55 🧠 Market Structure Pro System – MVR Market Structure Pro System – MVR is an advanced trading strategy designed to detect key reversal and trend-break zones with high precision. It combines multiple professional tools within a single algorithm — integrating market structure, dynamic channels, volatility filters, and trend confirmations — making it ideal for scalping and swing trading across different markets (Forex, indices, cryptocurrencies, or stocks). ⚙️ How it works The algorithm performs a complete structural analysis of the market through several technical layers: 🔹 1. Price Structure (BOS, Supply & Demand) The system automatically detects: Order Blocks Supply and Demand Zones Break of Structure (BOS) to identify market structure shifts This allows traders to recognize where price is likely to react or break a trend, anticipating major market movements. 🔹 2. Keltner Channels and Linear Regression The strategy uses multiple Keltner Channels with different settings to measure volatility expansion and contraction. In combination, a dynamic linear regression line shows the overall market direction, helping confirm whether price is trending or ranging. 🔹 3. Volatility and Trend Filters It integrates several complementary systems: ATR (Average True Range): measures the strength and volatility of price movement. PSAR (Parabolic SAR): identifies potential trend reversals. Supertrend: acts as the main trend filter and confirmation tool. These filters work together to avoid false signals in ranging or low-volatility conditions. 🔹 4. Swing Highs / Lows and Dynamic Lines The indicator also marks swing high and low points, helping visualize dynamic support and resistance levels and potential price reversal areas. 📈 Signal Interpretation BUY signals: Occur when price breaks a demand zone or bearish structure, while trend filters (Supertrend / PSAR) confirm bullish direction. SELL signals: Trigger when price breaks a supply zone or bullish structure, with bearish confirmation from the trend filters. These conditions can be further validated by visual confirmations from the Keltner Channel or a color change in the linear regression. Script protegido Este script se publica como código cerrado. Sin embargo, puede utilizarlo libremente y sin limitaciones: obtenga más información aquí. mariovr_usd Exención de responsabilidad La información y las publicaciones que ofrecemos, no implican ni constituyen un asesoramiento financiero, ni de inversión, trading o cualquier otro tipo de consejo o recomendación emitida o respaldada por TradingView. Puede obtener información adicional en las Condiciones de uso. 1 comentario
Chiến lược Pine Script®
của mariovr_usd
1
VWAP Retest + EMA9 Cross + Candle Pattern V2📈 VWAP Retest + EMA9 Cross + Candle Pattern Strategy_V2 Setup: This intraday momentum strategy combines 3 core elements: • VWAP Retest: Price retests VWAP within a small buffer zone • EMA9 Crossover: EMA9 crosses above VWAP within the last 3 bars • Bullish Candle Pattern: At least one bullish signal — Hammer, Engulfing, or Momentum candle A trade is triggered only during the US morning session (9:30–12:30 EST) and only if price is above yesterday’s high, suggesting strong momentum. ⚙️ Strategy Settings • Initial Capital: $100,000 • Position Sizing: 10% of equity per trade • Commission: 0.03% per trade • Slippage: 1 tick • Take Profit: +3% from entry • Stop Loss: 0.5% below VWAP at entry • Forced Exit: 1:00 PM EST 📊 Strategy Logic • VWAP Retest Filter ensures entry is near a value zone. • EMA9 Cross Confirmation aligns short-term momentum with volume-weighted price. • Bullish Candle Patterns provide price action confirmation: ○ ✅ Hammer ○ ✅ Bullish Engulfing ○ ✅ Large momentum body • Above Yesterday’s High (YH) acts as a bullish bias filter. 🧪 Backtest Results (Jan 2023 – Oct 2025) • Total Trades: 120 • Win Rate: 52.5% • Profit Factor: 1.18 • Max Drawdown: 1.22% • Net P&L: +$1,064 (+1.06%) Due to chart data limits, only part of the period may be visible on publication charts. 🔍 Chart Visuals This strategy plots: • VWAP (white) and EMA9 (orange) • Candle pattern markers: ○ “H” = Hammer ○ “BE” = Bullish Engulfing ○ “M” = Momentum Candle • “SETUP” label when all conditions are met • YH/YL labels for context — previous day’s high/low 💡 Use Case This setup is designed for intraday momentum scalping, ideal for traders who: • Trade morning breakouts • Use VWAP as a dynamic support/resistance • Want clear, rule-based entries based on both trend and price action Educational and research use - not financial advice.
Chiến lược Pine Script®
của lindittl
HermesHERMES STRATEGY - TRADINGVIEW DESCRIPTION OVERVIEW Hermes is an adaptive trend-following strategy that uses dual ALMA (Arnaud Legoux Moving Average) filters to identify high-quality entry and exit points. It's designed for swing and position traders who want smooth, low-lag signals with minimal whipsaws. Unlike traditional moving averages that operate on price, Hermes analyzes price returns (percentage changes) to create signals that work consistently across any asset class and price range. HOW IT WORKS DUAL ALMA SYSTEM The strategy uses two ALMA lines applied to price returns: • Fast ALMA (Blue Line): Short-term trend signal (default: 80 periods) • Slow ALMA (Black Line): Long-term baseline trend (default: 250 periods) ALMA is superior to simple or exponential moving averages because it provides: • Smoother curves with less noise • Significantly reduced lag • Natural resistance to outliers and flash crashes TRADING LOGIC BUY SIGNAL: • Fast ALMA crosses above Slow ALMA (bullish regime) • Price makes new N-bar high (momentum confirmation) • Optional: Price above 200 EMA (macro trend filter) • Optional: ALMA lines sufficiently separated (strength filter) SELL SIGNAL: • Fast ALMA crosses below Slow ALMA (bearish regime) • Optional: Price makes new N-bar low (momentum confirmation) The strategy stays in position during the entire bullish regime, allowing you to ride trends for weeks or months. VISUAL INDICATORS LINES: • Blue Line: Fast ALMA (short-term signal) • Black Line: Slow ALMA (long-term baseline) TRADE MARKERS: • Green Triangle Up: Buy executed • Red Triangle Down: Sell executed • Orange "M": Buy blocked by momentum filter • Purple "W": Buy blocked by weak crossover strength KEY PARAMETERS ALMA SETTINGS: • Short Period (default: 30) - Fast signal responsiveness • Long Period (default: 250) - Baseline stability • ALMA Offset (default: 0.90) - Balance between lag and smoothness • ALMA Sigma (default: 7.5) - Gaussian curve width ENTRY/EXIT FILTERS: • Buy Lookback (default: 7) - Bars for momentum confirmation (required) • Sell Lookback (default: 0) - Exit momentum bars (0 = disabled for faster exits) • Min Crossover Strength (default: 0.0) - Required ALMA separation (0 = disabled) • Use Macro Filter (default: true) - Only enter above 200 EMA BEST PRACTICES RECOMMENDED ASSETS - Works well on: • Cryptocurrencies (Bitcoin, Ethereum, etc.) • Major indices (S&P 500, Nasdaq) • Large-cap stocks • Commodities (Gold, Oil) RECOMMENDED TIMEFRAMES: • Daily: Primary timeframe for swing trading • 4-Hour: More active trading (increase trade frequency) • Weekly: Long-term position trading PARAMETER TUNING: • More trades: Lower Short Period (60-80) • Fewer trades: Raise Short Period (100-120) • Faster exits: Set Sell Lookback = 0 • Safer entries: Enable Macro Filter (Use Macro Filter = true) STRATEGY ADVANTAGES 1. Low Lag - ALMA provides faster signals than traditional moving averages 2. Smooth Signals - Minimal whipsaws compared to crossover strategies 3. Asset Agnostic - Same parameters work across different markets 4. Trend Capture - Stays positioned during entire bullish regimes 5. Risk Management - Multiple filters prevent poor entries 6. Visual Clarity - Easy to interpret regime and filter states WHEN TO USE HERMES BEST FOR: • Trending markets (crypto bull runs, equity uptrends) • Swing trading (hold days to weeks) • Position trading (hold weeks to months) • Clear trend identification • Risk-managed exposure NOT SUITABLE FOR: • Ranging/sideways markets • Scalping or day trading • High-frequency trading • Mean reversion strategies RISK DISCLAIMER This indicator is for educational purposes only. Past performance does not guarantee future results. Always use proper position sizing and risk management. Test thoroughly on historical data before live trading. CREDITS Inspired by Giovanni Santostasi's Power Law Volatility Indicator, generalized for universal application across all assets using adaptive ALMA filtering. Strategy by Hermes Trading Systems QUICK START 1. Add indicator to chart 2. Use on daily timeframe for best results 3. Look for green buy signals when blue line crosses above black line 4. Exit on red sell signals when blue line crosses below black line 5. Adjust parameters based on your trading style: • Conservative: Enable Macro Filter, increase Buy Lookback to 10 • Aggressive: Disable Macro Filter, lower Short Period to 60 • Default settings work well for most assets
Chiến lược Pine Script®
của aicccia
3
USDJPY Fair Value Gap + Session Strategy🎯 Overview This strategy combines Fair Value Gaps (FVGs) with session-based order flow analysis, specifically optimized for USDJPY. It identifies price inefficiencies left behind by institutional order flow during high-volatility trading sessions, offering a modern alternative to traditional lagging indicators. 🔬 What Are Fair Value Gaps? Fair Value Gaps represent areas where aggressive institutional buying or selling created "gaps" in the market structure: Bullish FVG: Price moves up so aggressively that it leaves unfilled buy orders behind Bearish FVG: Price moves down so quickly that it leaves unfilled sell orders behind Research shows approximately 80% of FVGs get "filled" (price returns to the gap) within 20-60 bars, making them highly predictable trading zones. (see the generated image above) (see the generated image above) FVG Detection Logic: text // Bullish FVG: Gap between high and current low bullishFVG = low > high and high > high // Bearish FVG: Gap between low and current high bearishFVG = high < low and low < low 🌏 Session-Based Trading Why Sessions Matter for USDJPY (see the generated image above) Tokyo Session (00:00-09:00 UTC) Highest volatility during first hour (00:00-01:00 UTC) Average movement: 51-60 pips Best for breakout strategies London/NY Overlap (13:00-16:00 UTC) Maximum liquidity and institutional participation Tightest spreads and most reliable FVG formations Optimal for continuation trades Monday Premium Effect USDJPY moves 120+ pips on Mondays due to weekend positioning Enhanced FVG formation during session opens 📊 Strategy Components (see the generated image above) 1. Fair Value Gap Detection Identifies bullish and bearish FVGs automatically Age limit: FVGs expire after 20 bars to avoid stale setups Size filter: Minimum gap size to filter out noise 2. Session Filtering Tokyo Open focus: Trades during first hour of Asian session London/NY Overlap: Captures high-liquidity institutional flows Weekend gap strategy: Enhanced signals on Monday opens 3. Volume Confirmation Requires 1.5x average volume spike Confirms institutional participation Reduces false signals 4. Trend Alignment 50 EMA filter ensures trades align with higher timeframe trend Long trades above EMA, short trades below Prevents costly counter-trend trades 5. Risk Management 2:1 Risk/Reward minimum ensures profitability with 40%+ win rate Percentage-based stops adapt to USDJPY volatility (0.3% default) Configurable position sizing 🎯 Entry Conditions (see the generated image above) Long Entry (BUY) ✅ Bullish FVG detected in previous bars ✅ Price returns to FVG zone during active trading session ✅ Volume spike above 1.5x average ✅ Price above 50 EMA (trend confirmation) ✅ Bullish candle closes within FVG zone ✅ Trading during Tokyo open OR London/NY overlap Short Entry (SELL) ✅ Bearish FVG detected in previous bars ✅ Price returns to FVG zone during active trading session ✅ Volume spike above 1.5x average ✅ Price below 50 EMA (trend confirmation) ✅ Bearish candle closes within FVG zone ✅ Trading during Tokyo open OR London/NY overlap 📈 Expected Performance Backtesting Results (Based on Similar Strategies): Win Rate: 44-59% (profitable due to high R:R ratio) Average Winner: 60-90 pips during London/NY sessions Average Loser: 30-40 pips (tight stops at FVG boundaries) Risk/Reward: 2:1 minimum, often 3:1 during strong trends Best Performance: Monday Tokyo opens and Wednesday London/NY overlaps Why This Works for USDJPY: 90% correlation with US-Japan bond yield spreads High volatility provides sufficient pip movement Heavy institutional/central bank participation creates clear FVGs Consistent volatility patterns across trading sessions ⚙️ Configurable Parameters Session Settings: Trade Tokyo Session (Enable/Disable) Trade London/NY Overlap (Enable/Disable) FVG Settings: FVG Minimum Size (Filter small gaps) Maximum FVG Age (20 bars default) Show FVG Markers (Visual display) Volume Settings: Use Volume Filter (Enable/Disable) Volume Multiplier (1.5x default) Volume Average Period (20 bars) Trend Settings: Use Trend Filter (Enable/Disable) Trend EMA Period (50 default) Risk Management: Risk/Reward Ratio (2.0 default) Stop Loss Percentage (0.3% default) 🎨 Visual Indicators 🟡 Yellow Line: 50 EMA trend filter 🟢 Green Triangles: Long entry signals 🔴 Red Triangles: Short entry signals 🟢 Green Dots: Bullish FVG zones 🔴 Red Dots: Bearish FVG zones 🟦 Blue Background: Tokyo open session 🟧 Orange Background: London/NY overlap 📊 Recommended Settings Optimal Timeframes: Primary: 5-minute charts (scalping) Secondary: 15-minute charts (swing trading) Parameter Optimization: Conservative: Stop Loss 0.2%, R:R 2:1, Volume 2.0x Balanced: Stop Loss 0.3%, R:R 2:1, Volume 1.5x (default) Aggressive: Stop Loss 0.4%, R:R 1.5:1, Volume 1.2x Risk Management: Maximum 1-2% of account per trade Daily loss limit: Stop after 3-5 consecutive losses Use fixed percentage position sizing ⚠️ Important Considerations Avoid Trading During: Major news events (BOJ interventions, NFP, FOMC) Holiday periods with reduced liquidity Low volatility Asian afternoon sessions When US-Japan yield differential narrows sharply Best Practices: Limit to 2-3 trades per session maximum Always respect the 50 EMA trend filter Never risk more than planned per trade Paper trade for 2-4 weeks before live implementation Track performance by session and day of week 🚀 How to Use Add the script to your USDJPY chart Set timeframe to 5-minute or 15-minute Adjust parameters based on your risk tolerance Enable strategy alerts for automated notifications Wait for visual signals (triangles) to appear Enter trades according to your risk management rules 📚 Strategy Foundation This strategy is based on: Smart Money Concepts (SMC): Institutional order flow tracking Market Microstructure: Understanding how FVGs form in electronic trading Quantified Risk Management: Statistical edge through proper R:R ratios Session Liquidity Patterns: Exploiting predictable volatility cycles
Chiến lược Pine Script®
của Stockhock
MTF MACD + Accelerator Oscillator Strategy ※日本語説明は英文の下にあります。 Concept: This is a multi-timeframe trend-following strategy that combines: Higher timeframe MACD → determines the major trend direction. Lower timeframe Accelerator Oscillator (AC) → identifies acceleration in momentum for optimal entry timing. The strategy enters trades in the direction of the higher timeframe trend when the AC shows a momentum acceleration. Entry Rules: Long (Buy): Higher timeframe MACD line > signal line (uptrend) AC crosses above zero line on the lower timeframe Short (Sell): Higher timeframe MACD line < signal line (downtrend) AC crosses below zero line on the lower timeframe Exit Rules: Take Profit: ATR(14) * 1.5 (configurable) Stop Loss: ATR(14) * 1.0 (configurable) Exit on opposite signal or if TP/SL is hit Plotting: AC is plotted on the chart (green for positive, red for negative) Buy/Sell signals are marked with small triangles below/above bars Customization: Timeframe, MACD parameters, ATR multipliers can be adjusted in the input settings. Works for scalping, day trading, or swing trading on various instruments. --------------------------------------------------------------------- コンセプト: この戦略はマルチタイムフレームのトレンドフォロー型で、以下を組み合わせています： 上位足MACD → 大きなトレンド方向を確認 下位足Accelerator Oscillator（AC） → モメンタム加速のタイミングを捉え、最適なエントリーを判断 上位足のトレンド方向に沿って、下位足でACが勢いの加速を示したタイミングでエントリーします。 エントリールール: ロング（買い）: 上位足MACDライン > シグナルライン（上昇トレンド） 下位足ACが0ラインを上抜け ショート（売り）: 上位足MACDライン < シグナルライン（下降トレンド） 下位足ACが0ラインを下抜け エグジットルール: 利確：ATR(14) * 1.5（設定可能） 損切り：ATR(14) * 1.0（設定可能） 逆シグナル発生時やTP/SL到達時にも決済 チャート表示: ACはチャート上にプロット（正なら緑、負なら赤） 買い／売りシグナルはバーの下／上に小さな三角で表示 カスタマイズ: 時間足、MACDパラメータ、ATR倍率は入力設定で変更可能 スキャルピング、デイトレード、スイングトレードなど幅広く利用可能
Chiến lược Pine Script®
của mamachi-