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Tradermaap Elite System [Institutional Grade Analysis]Description: 🚀 Institutional Trend Modeling & Automated Risk Engine Tradermaap Elite is a proprietary quantitative trading system designed for professional scalpers, swing traders, and prop firm challengers. It moves beyond standard indicators by utilizing a Dynamic Mean Reversion Algorithm to identify high-probability structural turning points in the market. This is NOT just a buy/sell arrow tool. It is a complete Decision Support System that mathematically calculates your risk, entry, and exit zones based on institutional order flow concepts. 🛠️ Key Features ✅ 100% Non-Repainting Engine: Signals are locked on candle close. No disappearing acts. ✅ Institutional Baseline Logic: Uses a proprietary blend of long-term trend filters to avoid false signals in choppy markets. ✅ Auto Risk Guard: Automatically calculates Position Size based on your account balance and defined risk (1% Prop Mode). ✅ Multi-Asset Calibration: Algorithmically tuned for Bitcoin, Gold, Indices (US30/NAS100), and Equities. ✅ Live Dashboard: Tracks real-time Win Rate and Profit Factor directly on your chart. ✅ Dynamic Currency: Switch between USD ($) and INR (₹) in settings. 🧠 How It Works (The Logic) The system operates on a 3-Stage "Confluence" Mechanism: Macro Trend Identification: The algorithm scans for the dominant market direction using a Weighted Trend Filter. Equilibrium Reversion: It identifies when price is "overextended" and waits for it to return to the "Value Zone" (Discount/Premium levels). Volatility Trigger: A trade is only validated when specific volume and price action conditions are met, filtering out weak moves. Projected Outcomes: Protective Stop: Structure-based invalidation levels. Target 1: Conservative banking zones. Target 2: Trend-following extensions. 🔒 Access & Licensing This operates as a Protected Algorithm. It is strictly Invite-Only. To obtain a license key or start a trial, please refer to the link in the signature below. ⚠️ RISK DISCLAIMER: This script is for educational and chart analysis purposes only. It incorporates mathematical modeling to assist in decision-making but does not guarantee profits. Trading is inherently risky. Use responsibly.
Estrategia Pine Script®
por TraderMaap
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.
Estrategia Pine Script®
por DskyzInvestments
盯盘-平均K线图This is a Pine Script v6 indicator/strategy designed to assist traders with clear, configurable trend and momentum signals. It combines adaptive filters and volatility-aware logic to highlight high‑quality entries and exits, includes optional multi‑timeframe confirmation, and supports risk controls such as stop loss/target levels. Signals are visualized directly on the chart with arrows/labels and can trigger TradingView alerts for real‑time notifications. The tool offers smoothing and sensitivity settings to tune responsiveness, overlay mode for price action, and strategy mode for backtesting performance. It’s built to be lightweight, transparent, and easy to adjust, helping traders streamline decision‑making while maintaining control over parameters and risk.
Estrategia Pine Script®
por taozitong
Multi-Endeks KAMA & RSI Stratejisi v6 (Long & Short)Multi-Index KAMA & RSI Strategy v6 (Long & Short) This is a hybrid trading strategy that combines two powerful technical analysis tools—the Kaufman's Adaptive Moving Average (KAMA) for trend following and the Relative Strength Index (RSI) for measuring momentum and identifying overbought/oversold conditions. The term "Multi-Index" suggests that the decision-making process might incorporate data or conditions from several different market indices or timeframes, rather than just the single asset being traded. 🧭 Core Components 1. KAMA (Kaufman's Adaptive Moving Average) KAMA is an adaptive moving average developed by quantitative financial theorist Perry J. Kaufman. Adaptivity: Unlike standard moving averages, KAMA automatically adjusts its smoothing factor (speed) based on market volatility. Mechanism: Trending Markets (Low Noise): When prices move clearly in one direction (low volatility), KAMA speeds up, hugging the price closely and providing fast signals. Sideways Markets (High Noise): When prices are choppy (high volatility/noise), KAMA slows down, smoothing out price fluctuations to reduce the risk of whipsaws (false signals). Role in Strategy: To define the main trend direction. The position of the price relative to the KAMA line determines the base directional bias (Long or Short). 2. RSI (Relative Strength Index) RSI is a momentum oscillator developed by J. Welles Wilder Jr. that measures the speed and change of price movements. Overbought/Oversold: It oscillates between 0 and 100. Conventionally, a reading above 70 suggests overbought conditions (potential sell signal), and a reading below 30 suggests oversold conditions (potential buy signal). Role in Strategy: Timing and Confirmation. Once the trend is confirmed by KAMA, the RSI acts as a timing filter, often confirming an entry as it moves away from extreme overbought (for Short) or oversold (for Long) levels. 📉 Potential Trading Logic (V6) This "v6" strategy likely aims to capture more reliable entries by requiring both trend (KAMA) and momentum (RSI) alignment: 1. LONG (Buy) Entry Conditions Trend Confirmation (KAMA): The asset's price (Closing Price) must be above the KAMA line (confirming an uptrend). Momentum Confirmation (RSI): Option A (Reversal): The RSI must cross above the 30 level (exiting oversold) or decisively move above the 50 level. Option B (Trend-Continuation): In a strong uptrend, the RSI might bounce off the 40-50 zone and turn upwards, confirming trend continuation. 2. SHORT (Sell) Entry Conditions Trend Confirmation (KAMA): The asset's price (Closing Price) must be below the KAMA line (confirming a downtrend). Momentum Confirmation (RSI): Option A (Reversal): The RSI must cross below the 70 level (exiting overbought) or decisively move below the 50 level. Option B (Trend-Continuation): In a strong downtrend, the RSI might be rejected from the 50-60 zone and turn downwards, confirming continuation. 3. Exit Management The strategy likely utilizes dynamic risk controls: Stop-Loss: A dynamic stop placed on the opposite side of the KAMA, or an ATR-based distance to adjust to volatility. Take-Profit: Conditions such as the RSI reaching extreme levels or the KAMA line being crossed in the reverse direction. 🌟 Implication of the "V6" Version The "v6" designation implies that the strategy has been refined and iterated upon over time to address weaknesses in prior versions (v1, v2, etc.). These improvements might include: Filters: Adding stricter RSI or KAMA cross filters to reduce false signals. Multi-Index Logic: Using the RSI or KAMA of a secondary instrument (e.g., a major index or volatility measure) as a macro filter for the main trade execution. Optimization: Optimizing the default lookback periods for KAMA and RSI for different asset classes.
Estrategia Pine Script®
por Masterix99
EMA Velocity Dual TF Momentum 1h (v2)BINANCE:SOLUSDT The result is calculated on futures x10 ### EMA Velocity Dual TF Momentum (v2) – Public Description **Overview** EMA Velocity Dual TF Momentum (v1) is a trend-following momentum strategy that uses the *speed of change* of Exponential Moving Averages (EMA) on two timeframes: the chart timeframe 1h. The strategy looks for moments when both timeframes point in the same direction and the short‑term momentum is significantly stronger than usual, then manages trades with configurable ATR filtering, stop‑loss / take‑profit and early exit logic. --- ### Core Idea (high level, without formulas) - On the **lower timeframe** (LTF), the strategy tracks how fast the EMA is moving (its “velocity”) and detects **impulse bars** where this velocity is unusually strong compared to its recent history. - On the **higher timeframe** (HTF), it also measures EMA velocity and requires that the HTF trend direction is **aligned** with the LTF (both bullish or both bearish), if enabled. - A **long trade** is opened when: - LTF EMA velocity is positive (upward momentum), - LTF momentum is strong enough (impulse), - HTF EMA velocity is also upwards (if HTF filter is enabled), - and ATR‑based volatility is above the minimum threshold. - A **short trade** is opened in the symmetric situation (downward momentum on both timeframes). - Positions are closed using configurable stop‑loss and take‑profit, and can be partially exited, moved to break‑even and trailed using early‑exit options. --- ### Inputs and Parameters #### Trend & Momentum (Lower Timeframe) - **`LTF EMA length (emaLenLTF)`** Length of the EMA on the chart timeframe used to measure short‑term trend and momentum. Smaller values react faster; larger values are smoother and slower. - **`LTF velocity lookback (velKLTF)`** Lookback for computing EMA “velocity” on LTF. Controls how sensitive the momentum calculation is to recent price changes. - **`LTF impulse lookback bars (impLookback)`** Window size used to estimate the “normal” average absolute velocity. The strategy compares current momentum against this baseline to detect strong impulse moves. - **`LTF |velocity| multiplier vs average (impMult)`** Multiplier for defining what counts as a strong impulse. Higher values = fewer but stronger signals; lower values = more frequent, weaker impulses. #### Trend & Momentum (Higher Timeframe) - **`Use higher timeframe alignment (useHTF)`** If enabled, trades are only taken when the higher‑timeframe EMA velocity confirms the same direction as the lower timeframe. - **`HTF timeframe (htf_tf)`** Higher timeframe used for confirmation (e.g. 60 minutes). Defines the “macro” context above the chart timeframe. - **`HTF EMA length (emaLenHTF)`** Length of the EMA on the higher timeframe. Controls how smooth and slow the higher‑timeframe trend filter is. - **`HTF velocity lookback (velKHTF)`** Lookback for the EMA velocity on HTF. Smaller values react quicker to changes in the higher‑timeframe trend. #### Volatility / ATR Filter - **`Use ATR filter (useAtrFilter)`** Enables a volatility filter based on Average True Range. When active, trades are allowed only if market volatility is not too low. - **`ATR Period (atrPeriod)`** Lookback period for ATR calculation. Shorter periods react faster to recent volatility shifts; longer ones are more stable. - **`ATR Min % for trading (atrMinPerc)`** Minimum ATR as a percentage of price required to trade. Filters out very quiet, choppy periods where the strategy is more likely to be whipsawed. #### Risk Management - **`Use stops (SL/TP) (useStops)`** Enables fixed stop‑loss and take‑profit exits. If disabled, positions are managed only by early exit logic and manual closing. - **`Stop Loss % (stopLossPerc)`** Distance of the protective stop from entry, in percent. Higher values give trades more room but increase risk per trade. - **`Take Profit % (takeProfitPerc)`** Distance of the primary profit target from entry, in percent. Controls the reward‑to‑risk profile of each trade. #### Early Exit / Break‑Even / Trailing - **`Enable early exit module (useEarlyExit)`** Master switch for all early exit features: partial profit taking, break‑even stops and trailing exits. - **`Take partial profit at +% (close 50%) (partialTP)`** Profit level (in %) at which the strategy closes a partial portion of the position (e.g. 50%), locking in gains while leaving a runner. - **`Trailing TP distance (%) (trailTP)`** Distance (in %) for dynamic trailing stop after entry. When positive, the strategy trails the price to protect profits as the move extends. - **`Break-even stop after +% profit (useBreakEven)`** Enables automatic move of the stop to the entry price once a certain profit threshold is reached. - **`Break-even activation (+%) (breakEvenPerc)`** Profit level (in %) at which the stop is moved to break‑even. Higher values require a larger unrealized profit before break‑even protection kicks in. #### Visuals - **`Show labels (showLabels)`** Toggles on‑chart labels that mark long and short entry signals for easier visual analysis. - **`Label offset (labelOffset)`** Horizontal offset (in bars) for placing labels relative to the signal bar. Used only for visual clarity; does not affect trading logic. --- Если нужно, могу на основе этого текста сразу подготовить компактную версию (ограниченную по символам) специально под поле описания публичного скрипта в TradingView.
Estrategia Pine Script®
por Paran03d
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.
Estrategia Pine Script®
por ChartPrime
4
smart honey 2.0The smart honey 2.0 is a long-only trading strategy based on averaging entries. At "Entry" you can set to enter a trade at a specified averaging level. The best backtest result at "only 4th averaging". "Tp" is take profit. "Sensitivity" controls the frequency of trades - lower sensitivity means fewer, but higher-quality trades. Settings recommendations For 1m-5m timeframes, use low sensitivity and take profit values. For higher timeframes, increase the take profit value. For example, a profitable setting for many coins on a 5-minute timeframe is Tp = 1.5% Sensitivity = 2.7 Entry = only 4th averaging The strategy features a "Blue line" showing liquidity clusters influenced by Sensitivity. Price often bounces off this line. You can also set alerts for lists of coins, receiving notifications at each new candle about active positions
Estrategia Pine Script®
por martsinkevich
AlosAlgo V2 (BETA)— V2 BETA — V2 – 2025-11-21 (Update) • Rebuilt the core signal engine to remove repainting – higher-timeframe Heikin Ashi / Renko now use confirmed bars only for more stable signals & alerts. • Added Trend Filter MA so longs are only taken above the MA and shorts only below (optional). • Added MACD momentum filter and Price Action filter (Higher Low for longs, Lower High for shorts) to cut a lot of chop. • Introduced a loss-streak “circuit breaker” – after X consecutive losing trades the strategy pauses for a set number of bars. • New TP/SL engine with 2 modes: ATR-based or Fixed % moves, with 4 staged TPs plus an optional runner and break-even SL after TP2. • Cleaned up TP/SL lines & labels so levels are fixed per trade and easier to read. • General refactor for more realistic backtests, better live behaviour and easier parameter tuning compared to V1. ABOUT AlosAlgo V2 is a multi-timeframe trend + momentum strategy designed for BTC and other high-liquidity markets. It takes directional bias from a higher timeframe, then filters that bias with volatility, momentum and simple price-action structure before it ever opens a trade. Purely rule-based, no AI / Bayesian / ML. Core idea – Use higher-timeframe structure for direction. – Only trade when trend, momentum and basic price action agree. – Manage exits with multiple TPs, an optional runner and a hard SL so risk is defined from the start. Setups Two main engines: • Open/Close – Higher-timeframe Heikin Ashi body direction (close vs open) as the core trend signal. • Renko – ATR-based Renko feed with EMA cross (fast vs slow) as the core trend signal. Classic sideways filters (ATR + RSI) can be layered on top if you want to only trade in trending or ranging conditions. Filters added in V2 • Trend Filter MA – Longs only above the MA, shorts only below (length configurable). • Momentum Filter – Optional MACD filter; only takes longs when MACD is bullish and shorts when MACD is bearish. • Price Action Filter – Optional HL/LH logic using pivots: longs after a Higher Low, shorts after a Lower High. • Loss-Streak Circuit Breaker – After N losing trades in a row, the strategy pauses entries for a set number of bars to avoid bad regimes / tilt. Risk & exits Two TP/SL modes: • ATR mode – SL and TP1–TP4 based on ATR at entry (stopFactor / profitFactor). • Fixed % mode – SL and TP1–TP4 defined as % moves from entry. On entry the strategy: • Opens a single position. • Places 4 staged TPs (TP1–TP4) with user-defined % sizing. • Optionally leaves a “runner” managed only by SL and trend changes. • Can move SL to break-even automatically after TP2 (toggle). All TP/SL levels are locked at entry and drawn on the chart with labels so you can see exactly what the trade is trying to do. Non-repainting behaviour V2 is refactored to avoid the repainting behaviour that V1 used. Higher-timeframe and Renko data are taken from confirmed bars only, and entries are based on state (e.g. > / <) instead of repaint-prone crosses. Backtests are much closer to what you’ll see live, and alerts line up with executed trades more reliably. How to use (suggested defaults) • Setup: Open/Close • TPSType: Fixed % • Trend Filter: ON • Momentum Filter: ON • Price Action Filter: ON • Sideways Filter: No Filtering Then tweak TP/SL distances and filters per asset + timeframe, and forward-test before sizing up. Disclaimer This is not financial advice, not a guarantee of profit and not a “set and forget” money printer. Always forward-test, paper trade and tune risk before using real capital or automation. Markets change – this is a tool, not a promise.
Estrategia Pine Script®
por Alos_Arc
YCGH Mean Reversion StrategyThis strategy applies a classic mean-reversion framework inspired by the concepts popularized by Ernest P. Chan in his quantitative trading books. It uses Bollinger Bands and RSI to identify statistically stretched conditions where price has moved too far from its average. When price dips below the lower band with weakening momentum, the strategy accumulates small long positions, expecting reversion toward the mean. As price rebounds above the upper band, it exits positions gradually. Position sizing limits help control risk and avoid excessive exposure. Special thanks to Ernest P. Chan for his influential work in quantitative trading, which motivated the structure and logic behind this model.
Estrategia Pine Script®
por YCGH_Capital
SMC Trend Filter Strategy (EMA50/EMA200 + FVG)Overview This strategy implements a multi-timeframe Smart Money Concept (SMC) trading system designed for intraday and swing trading. It combines a Daily trend filter, Break of Structure (BOS) detection, Order Block (OB) zones, Fair Value Gap (FVG) confirmation, and an ATR-based trailing stop system to achieve structured and rule-based entries. The strategy is fully automated for backtesting and allows users to evaluate SMC concepts without repainting or discretionary interpretation. - Core Components 1. Higher-Timeframe Trend Filter (Daily EMA50/EMA200) The strategy retrieves D1 data and determines market direction using EMA50 and EMA200: Uptrend → EMA50 > EMA200 Downtrend → EMA50 < EMA200 Trades are only taken in the direction of the Daily trend to avoid counter-trend setups. 2. Market Structure & Break of Structure (BOS) The strategy identifies swing highs/lows and detects when price breaks beyond them: Bullish BOS: price closes above previous swing high Bearish BOS: price closes below previous swing low This forms the foundation of SMC market structure recognition. 3. Order Block Zone (OB) Upon detecting a BOS, the strategy marks the previous candle as a potential Order Block: For bullish BOS → OB = previous candle’s high/low For bearish BOS → OB = previous candle’s high/low The OB zone is visualized using a semi-transparent box extended forward
Estrategia Pine Script®
por SMCFVL
Infinity 26📈 Infinity 26 – Long-Term Investment Signal Indicator Infinity 26 is a long-term trend-based investment indicator designed to identify high-quality buy and exit points using weekly or monthly candles. It filters out market noise and focuses only on strong, long-term momentum shifts—making it ideal for wealth creation and slow, steady portfolio growth. 🔹 Key Features Buy Signals: Automatically highlights strong trend-reversal points where long-term investors can accumulate. Exit Signals: Shows when the long-term trend weakens, helping protect gains and reduce major drawdowns. Weekly & Monthly Optimized: Best results when used on 1-week or 1-month timeframe for long-term investing. Clear Trend Structure: Helps you stay invested during major bull trends and avoid emotional short-term decisions. Noise-Free: Designed for long-horizon investors—no overtrading, no frequent whipsaws. 🔹 Best For Long-term investors Swing-to-position traders Wealth creation strategies Portfolio-based investing 🔹 How It Helps You ✔ Avoid wrong entries ✔ Capture major uptrend moves ✔ Reduce risk with timely exits ✔ Build wealth with simple, rule-based signals
Estrategia Pine Script®
por OnkarInvestment
Vital Wave 20-50Simplicity is almost always the most effective approach, and here I’m giving you a trend-following system that exploits the bullish bias of traditional markets and their trending nature, with very basic rules. Rules (long entries only) • Market entry: When the EMA 20 crosses above the EMA 50 (from below) • Main market exit: When the EMA 20 crosses below the EMA 50 (from above) • Fixed Stop Loss: Placed at the price level of the Lower Bollinger Band at the moment the trade is entered. In my strategy, the primary exit is when the EMA 20 crosses below the EMA 50. However, this crossover can sometimes take a while to occur, and in the meantime the price may have already dropped significantly. The Stop Loss based on the Lower Bollinger Band is designed to limit losses in case the market moves sharply against the position without giving the bearish crossover signal in time. Having two exit conditions makes the strategy much more robust in terms of risk management. Risk Management: • Initial capital: $10,000 • Position size: 10% of available capital per trade • Commissions: 0.1% on traded volume • Stop Loss: Based on the Lower Bollinger Band • Take Profit / Exit: When EMA 20 crosses below EMA 50 Recommended Markets: XAUUSD (OANDA) (Daily) Period: January 3, 1833 – November 23, 2025 Total Profit & Loss: +$6,030.62 USD (+57.57%) Maximum Drawdown: $541.53 USD (3.83%) Total Trades: 136 Winning Trades (Win Rate): 36.03% (49/136) Profit Factor: 2.483 XAUUSD (OANDA) (12-hour) Period: March 19, 2006 – November 23, 2025 Total Profit & Loss: +$1,209.56 USD (+11.89%) Maximum Drawdown: $384.58 USD (3.61%) Total Trades: 97 Winning Trades (Win Rate): 35.05% (34/97) Profit Factor: 1.676 XAUUSD (OANDA) (8-hour) Period: March 19, 2006 – November 23, 2025 Total Profit & Loss: +$1,179.36 USD (+11.81%) Maximum Drawdown: $246.88 USD (2.32%) Total Trades: 147 Winning Trades (Win Rate): 31.97% (47/147) Profit Factor: 1.626 Tesla (NASDAQ) (4-hour) Period: June 29, 2010 – November 23, 2025 Total Profit & Loss (Absolute): +$11,687.90 USD (+116.88%) Maximum Drawdown: $922.05 USD (6.50%) Total Trades: 68 Winning Trades (Win Rate): 39.71% (27/68) Profit Factor: 4.156 Tesla (NASDAQ) (3-hour) Total Profit & Loss: +$11,522.33 USD (+115.22%) Maximum Drawdown: $1,247.60 USD (8.80%) Total Trades: 114 Winning Trades: 33.33% (38/114) Profit Factor: 2.811 Additional Recommendations (These assets have shown good trending behavior with the same strategy across multiple timeframes): • NVDA (15 min, 30 min, 1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily) • NFLX (1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily) • MA (1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily) • META (1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily) • AAPL (1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily) • SPY (12h, Daily) About the Code The user can modify: • EMA periods (20 and 50 by default) • Bollinger Bands length (20 periods) • Standard deviation (2.0) Visualization • EMA 20: Blue line • EMA 50: Red line • Green background when EMA20 > EMA50 (bullish trend) • Red background when EMA20 < EMA50 (bearish trend) Important Note: We can significantly increase the profit factor and overall profitability by risking a fixed percentage per trade instead of a fixed amount. This would prevent losses from fluctuating with changes in volatility. This could be implemented by reducing position size or adjusting leverage based on the volatility percentage required for each trade, but I’m not sure if this is fully possible in Pine Script. In my other script, “ Golden Cross 50/200 EMA ,” I go deeper into this topic and provide examples. I hope you enjoy this contribution. Best regards!
Estrategia Pine Script®
por Especulador96
2
MKL AutopilotOVERVIEW MKL Autopilot is a trend-following strategy that uses a smoothed dynamic environment filter and de-noiser to detect directional shifts and then aims for fixed risk-to-reward exits (user-settable) while using a dynamic stop that adapts to price structure. 1. Key ideas / advantages - Smooths short-term noise with an adaptive range + volatility smoothing algorithm so entries trigger on meaningful directional shifts. - Reduces False Breakouts: a new direction must reverse briefly away from the de-noiser. - Dynamic stop-loss placed at the filter band (upper/lower), with take-profit calculated from realized risk using an adjustable R:R ratio . - Sequential-trade gating prevents immediate same-direction flip-flopping (simple persistence control). - Designed for clarity and conservative trade management. 2. Signals and execution - Long Entry - Short Entry - Stop-loss: dynamic bandwidth, which will always shrink after asset starts moving the direction of the trade. - Take-profit: computed as entry ± (riskPips * R:R), where riskPips is derived from entry-to-SL distance and pipValue. 3. User inputs - Period — smoothing window (default 88). - Multiplier — multiplies smoothed range volatility width to set band width (default 8.0). - Risk-to-Reward Ratio — target multiple of risk (default 2.0). - Visual toggles for fills and colors are provided. 4. Behavioural details - Uses strategy.percent_of_equity with default_qty_value=100 (trades full equity by default). - Keeps pyramiding=0 to avoid multiple concurrent entries in same direction. - Resets entry variables on position close and re-arms retest logic according to prevailing trend. 5. Recommended usage - Try 3min and 5min for all - forex/crypto/indices/equities - adapt according to the volatility of the asset. - Backtest across multiple symbols/timeframes and tune Period / Multiplier / R:R to match volatility and your risk tolerance. 6. Limitations & risk - No 100% guarantee of profit — like all strategies it can produce drawdowns, whipsaw losses during sideways markets, and missed quick reversals. - Default position sizing is aggressive (100% of equity). Change default_qty_type / default_qty_value before live trading. - Always forward-test on a paper account and ensure slippage/fees are considered. Some good assets with their time-frames and settings are mentioned below: 1. BINANCE:ETHUSD (BEST) | CAPITALCOM:US30 | OANDA:XAUUSD | - Time Frame = 3min - Period = 88 - Multiplier = 8.8 - Risk-to-Reward Ratio = 2.5 2. BINANCE:BTCUSD - Time Frame = 5min - Period = 188 - Multiplier = 8.8 - Risk-to-Reward Ratio = 3 3. BINANCE:SOLUSDT - Time Frame = 3min - Period = 33 - Multiplier = 8.8 - Risk-to-Reward Ratio = 3 5. OANDA:XAUUSD - Time Frame = 5min - Period = 120 - Multiplier = 8.8 - Risk-to-Reward Ratio = 2.5 6. OANDA:USDJPY - Time Frame = 15min - Period = 160 - Multiplier = 2.4 - Risk-to-Reward Ratio = 2 7. NSE:NIFTY | NSE:BANKNIFTY - Time Frame = 3min - Period = 88 - Multiplier = 8.8 - Risk-to-Reward Ratio = 3
Estrategia Pine Script®
por Mukul_Trades
3
R4D1 Algo Standard🚀 R4D1 Algo Standard— Smart Supertrend Trading System The R4D1 Algo Standard is a next-generation Supertrend-based trading system designed for traders who want a clean, reliable, and highly automated strategy. Built with premium filters, visual dashboards, and institutional-grade session mapping, this algo gives you the clarity you need to dominate any market. ⚠️ Important: For accurate calculations on Heikin Ashi charts, please make sure real OHLC values are enabled in the script settings. Otherwise, HA-smoothing may distort price-based indicators. 📌 Note: Netflix Inc. was used only as a reference example for demonstration and visualization purposes. The strategy is Tickerly Ready and works seamlessly with any symbol, across all markets and asset classes. 🔥 Key Features 📈 Supertrend Engine Ultra-responsive trend detection Clean reversal entries (Long 📈 / Short 📉) Automatic trade reversals for maximum momentum capture 🎛️ Customizable Filters ADX Filter 📡 — Detect true trend strength MACD Filter 📊 — Block trades during weak or conflicting market phases Toggle instantly on/off for full control This time, less is more. Great for Python Code,finding the Right values to be one step ahead. 🧭 Interactive Dashboard (HUD) A real-time on-chart control center showing: Current Position: LONG / SHORT Entry Price Live P&L 💰 Trend State (Bullish 🟢 / Bearish 🔴) ADX Strength MACD Momentum ATR Volatility Everything updates automatically on the latest bar. 🇺🇸 US Market Sessions (Optional) Highlight key Wall Street phases with a single click: 🟩 US Open (09:30–11:30) 🟨 Lunch Session 🟧 Afternoon Session Perfect for traders who love structure and timing. 🎯 Who Is This Algo For? ✔ Day traders ✔ Swing traders ✔ Supertrend enthusiasts ✔ Traders who want clean charts + intelligent automation ✔ Anyone seeking consistent, rule-based entries & exits ⚡ Why Traders Love It Zero repainting Highly intuitive signals Designed for all markets (Crypto, Forex, Stocks, Indices) Ultra-fast performance with built-in visual clarity 🛠️ Plug, Play & Trade Load the script, enable your preferred filters, and let the algo handle the heavy lifting. You get precision entries, dynamic labels, and a modern dashboard—everything a trader needs to stay ahead.
Estrategia Pine Script®
por AL_R4D1
DM Mean Reversion w/ Checklist tableCALL (Long) Take CALL trades when ALL are true: Price is above 200 SMA RSI(2) is below 5 VIX is below 25 VIX is falling Meaning: Fear is low and decreasing → good environment for upside mean-reversion. PUT (Short) – Final Rules Take PUT trades when ALL are true: Price is below 200 SMA RSI(2) is above 95 VIX is between 25 and 30 VIX is rising Meaning: Fear exists, is increasing, but hasn’t turned into panic yet. Universal Block Rule If VIX is above 30 → NO TRADES at all Because panic destroys mean-reversion edges. _________________________________________________________________________________ The Psychology Behind Mean Reversion Strategy Strategy is built on human behavior, not just math. It’s designed to exploit how traders overreact emotionally. 1. RSI(2) – The Emotion Meter What it means psychologically: RSI(2) doesn’t measure trend — it measures emotional exhaustion. When: • RSI(2) < 5 → Market is panic-selling short term • RSI(2) > 95 → Market is panic-buying short term Humans don’t trade logically. They: Chase Panic Overreact to short-term movement This strategy does the opposite. It says: Everyone is emotional right now. I’m going to wait until their emotion is extreme, then fade it.” That’s contrarian psychology. 2. 200 SMA – Crowd Bias Filter This line separates: Long-term belief From short-term noise Psychologically: When price is above the 200 SMA → The market believes it's in a bull environment When price is below the 200 SMA → The market believes it's in a bearish environment Your strategy respects that belief. You’re not fighting the big crowd You’re only fading the small emotional moves within it. That’s very important. 3. 5 SMA – Short-Term Reversion Trigger This is your mean line. Psychologically: When price stretches far from the 5 SMA, it represents short-term imbalance. Traders: • Chase • Overextend • Get emotionally trapped The mean (5 SMA) acts like a magnet. Your exit uses this line because: When price touches or crosses it that emotional imbalance is usually gone. 4. ATR – Fear Distance ATR measures how far the crowd is willing to move price. Psychologically: When volatility increases, people are emotional Stop loss distance must increase Your ATR stop adapts to crowd fear intensity. Low fear = tighter stops High fear = wider stops You're not using fixed numbers. You're using fear measurement. 5. VIX – The Market's Fear Index This is extremely important. VIX shows collective fear levels across all traders. Psychology: VIX Level Crowd Emotion Under 20 Calm / Confident 20–25 Mild stress 25–30 Building fear 30+ Panic mode Mean reversion works best when: Fear exists But panic is NOT extreme Because in panic → people act irrational longer. Your logic filters those periods out. 6. Your Strategy Psychology in One Sentence Your strategy profits from: Short-term emotional overreactions Inside longer-term structural bias While avoiding high-panic environments You're trading: Not price Not indicators But human stress behavior. The Mental Model to Remember Imagine: RSI(2) = person panicking 200 SMA = direction of the crowd 5 SMA = emotional center ATR = how scared they are VIX = how stressed the entire market is You’re not predicting price. You’re exploiting fear. 27 minutes ago Release Notes CALL (Long) Take CALL trades when ALL are true: Price is above 200 SMA RSI(2) is below 5 VIX is below 25 VIX is falling Meaning: Fear is low and decreasing → good environment for upside mean-reversion. PUT (Short) – Final Rules Take PUT trades when ALL are true: Price is below 200 SMA RSI(2) is above 95 VIX is between 25 and 30 VIX is rising Meaning: Fear exists, is increasing, but hasn’t turned into panic yet. Universal Block Rule If VIX is above 30 → NO TRADES at all Because panic destroys mean-reversion edges. _________________________________________________________________________________ The Psychology Behind Mean Reversion Strategy Strategy is built on human behavior, not just math. It’s designed to exploit how traders overreact emotionally. 1. RSI(2) – The Emotion Meter What it means psychologically: RSI(2) doesn’t measure trend — it measures emotional exhaustion. When: • RSI(2) < 5 → Market is panic-selling short term • RSI(2) > 95 → Market is panic-buying short term Humans don’t trade logically. They: Chase Panic Overreact to short-term movement This strategy does the opposite. It says: Everyone is emotional right now. I’m going to wait until their emotion is extreme, then fade it.” That’s contrarian psychology. 2. 200 SMA – Crowd Bias Filter This line separates: Long-term belief From short-term noise Psychologically: When price is above the 200 SMA → The market believes it's in a bull environment When price is below the 200 SMA → The market believes it's in a bearish environment Your strategy respects that belief. You’re not fighting the big crowd You’re only fading the small emotional moves within it. That’s very important. 3. 5 SMA – Short-Term Reversion Trigger This is your mean line. Psychologically: When price stretches far from the 5 SMA, it represents short-term imbalance. Traders: • Chase • Overextend • Get emotionally trapped The mean (5 SMA) acts like a magnet. Your exit uses this line because: When price touches or crosses it that emotional imbalance is usually gone. 4. ATR – Fear Distance ATR measures how far the crowd is willing to move price. Psychologically: When volatility increases, people are emotional Stop loss distance must increase Your ATR stop adapts to crowd fear intensity. Low fear = tighter stops High fear = wider stops You're not using fixed numbers. You're using fear measurement. 5. VIX – The Market's Fear Index This is extremely important. VIX shows collective fear levels across all traders. Psychology: VIX Level Crowd Emotion Under 20 Calm / Confident 20–25 Mild stress 25–30 Building fear 30+ Panic mode Mean reversion works best when: Fear exists But panic is NOT extreme Because in panic → people act irrational longer. Your logic filters those periods out. 6. Your Strategy Psychology in One Sentence Your strategy profits from: Short-term emotional overreactions Inside longer-term structural bias While avoiding high-panic environments You're trading: Not price Not indicators But human stress behavior. The Mental Model to Remember Imagine: RSI(2) = person panicking 200 SMA = direction of the crowd 5 SMA = emotional center ATR = how scared they are VIX = how stressed the entire market is You’re not predicting price. You’re exploiting fear. 8 minutes ago Release Notes CALL (Long) Take CALL trades when ALL are true: Price is above 200 SMA RSI(2) is below 5 VIX is below 25 VIX is falling Meaning: Fear is low and decreasing → good environment for upside mean-reversion. PUT (Short) – Final Rules Take PUT trades when ALL are true: Price is below 200 SMA RSI(2) is above 95 VIX is between 25 and 30 VIX is rising Meaning: Fear exists, is increasing, but hasn’t turned into panic yet. Universal Block Rule If VIX is above 30 → NO TRADES at all Because panic destroys mean-reversion edges. _________________________________________________________________________________ The Psychology Behind Mean Reversion Strategy Strategy is built on human behavior, not just math. It’s designed to exploit how traders overreact emotionally. 1. RSI(2) – The Emotion Meter What it means psychologically: RSI(2) doesn’t measure trend — it measures emotional exhaustion. When: • RSI(2) < 5 → Market is panic-selling short term • RSI(2) > 95 → Market is panic-buying short term Humans don’t trade logically. They: Chase Panic Overreact to short-term movement This strategy does the opposite. It says: Everyone is emotional right now. I’m going to wait until their emotion is extreme, then fade it.” That’s contrarian psychology. 2. 200 SMA – Crowd Bias Filter This line separates: Long-term belief From short-term noise Psychologically: When price is above the 200 SMA → The market believes it's in a bull environment When price is below the 200 SMA → The market believes it's in a bearish environment Your strategy respects that belief. You’re not fighting the big crowd You’re only fading the small emotional moves within it. That’s very important. 3. 5 SMA – Short-Term Reversion Trigger This is your mean line. Psychologically: When price stretches far from the 5 SMA, it represents short-term imbalance. Traders: • Chase • Overextend • Get emotionally trapped The mean (5 SMA) acts like a magnet. Your exit uses this line because: When price touches or crosses it that emotional imbalance is usually gone. 4. ATR – Fear Distance ATR measures how far the crowd is willing to move price. Psychologically: When volatility increases, people are emotional Stop loss distance must increase Your ATR stop adapts to crowd fear intensity. Low fear = tighter stops High fear = wider stops You're not using fixed numbers. You're using fear measurement. 5. VIX – The Market's Fear Index This is extremely important. VIX shows collective fear levels across all traders. Psychology: VIX Level Crowd Emotion Under 20 Calm / Confident 20–25 Mild stress 25–30 Building fear 30+ Panic mode Mean reversion works best when: Fear exists But panic is NOT extreme Because in panic → people act irrational longer. Your logic filters those periods out. 6. Your Strategy Psychology in One Sentence Your strategy profits from: Short-term emotional overreactions Inside longer-term structural bias While avoiding high-panic environments You're trading: Not price Not indicators But human stress behavior. The Mental Model to Remember Imagine: RSI(2) = person panicking 200 SMA = direction of the crowd 5 SMA = emotional center ATR = how scared they are VIX = how stressed the entire market is You’re not predicting price. You’re exploiting fear. 17 minutes ago Release Notes CALL (Long) Take CALL trades when ALL are true: Price is above 200 SMA RSI(2) is below 5 VIX is below 25 VIX is falling Meaning: Fear is low and decreasing → good environment for upside mean-reversion. PUT (Short) – Final Rules Take PUT trades when ALL are true: Price is below 200 SMA RSI(2) is above 95 VIX is between 25 and 30 VIX is rising Meaning: Fear exists, is increasing, but hasn’t turned into panic yet. Universal Block Rule If VIX is above 30 → NO TRADES at all Because panic destroys mean-reversion edges. _________________________________________________________________________________ The Psychology Behind Mean Reversion Strategy Strategy is built on human behavior, not just math. It’s designed to exploit how traders overreact emotionally. 1. RSI(2) – The Emotion Meter What it means psychologically: RSI(2) doesn’t measure trend — it measures emotional exhaustion. When: • RSI(2) < 5 → Market is panic-selling short term • RSI(2) > 95 → Market is panic-buying short term Humans don’t trade logically. They: Chase Panic Overreact to short-term movement This strategy does the opposite. It says: Everyone is emotional right now. I’m going to wait until their emotion is extreme, then fade it.” That’s contrarian psychology. 2. 200 SMA – Crowd Bias Filter This line separates: Long-term belief From short-term noise Psychologically: When price is above the 200 SMA → The market believes it's in a bull environment When price is below the 200 SMA → The market believes it's in a bearish environment Your strategy respects that belief. You’re not fighting the big crowd You’re only fading the small emotional moves within it. That’s very important. 3. 5 SMA – Short-Term Reversion Trigger This is your mean line. Psychologically: When price stretches far from the 5 SMA, it represents short-term imbalance. Traders: • Chase • Overextend • Get emotionally trapped The mean (5 SMA) acts like a magnet. Your exit uses this line because: When price touches or crosses it that emotional imbalance is usually gone. 4. ATR – Fear Distance ATR measures how far the crowd is willing to move price. Psychologically: When volatility increases, people are emotional Stop loss distance must increase Your ATR stop adapts to crowd fear intensity. Low fear = tighter stops High fear = wider stops You're not using fixed numbers. You're using fear measurement. 5. VIX – The Market's Fear Index This is extremely important. VIX shows collective fear levels across all traders. Psychology: VIX Level Crowd Emotion Under 20 Calm / Confident 20–25 Mild stress 25–30 Building fear 30+ Panic mode Mean reversion works best when: Fear exists But panic is NOT extreme Because in panic → people act irrational longer. Your logic filters those periods out. 6. Your Strategy Psychology in One Sentence Your strategy profits from: Short-term emotional overreactions Inside longer-term structural bias While avoiding high-panic environments You're trading: Not price Not indicators But human stress behavior. The Mental Model to Remember Imagine: RSI(2) = person panicking 200 SMA = direction of the crowd 5 SMA = emotional center ATR = how scared they are VIX = how stressed the entire market is You’re not predicting price. You’re exploiting fear. __________________________________________________________________ A close above or below the 5-SMA only means the mean reversion is complete, not that the move itself is over. There’s a big difference. What your SMA 5 exit actually means It means: Price has snapped back to its short-term average. That’s it. It does NOT mean: The trend is over Momentum will stop Price will reverse again It only means: The reversion target has been reached. Why price often keeps moving after In strong markets, especially end-of-day or high momentum sessions: Price often hits the short-term mean Exits your trade Then continues moving in the same direction Example: You long after RSI=2 oversold Price reverts to SMA 5 You exit But the trend is strong → price keeps climbing. And that’s normal and expected behavior. The system is not trying to capture trends. It is trying to capture: The snap-back move from extreme conditions. Your system purpose (important) Strategy is built for: Small, high-probability mean reversion profits Not trend following Not momentum extension Not predicting tops/bottoms By exiting at SMA 5, you’re saying: “I’m only here for the bounce — nothing more. That keeps: Drawdown lower Holding time shorter Win rate more consistent Even if that means leaving money on the table sometimes (which every good system does). If you ever wanted to let winners run You could add things like: Trend filter extension (hold if above 200 SMA) RSI exit condition A trailing stop instead of SMA 5 But that changes the nature of your system from: Mean Reversion → Hybrid Trend System Bottom line You’re thinking about this correctly: SMA 5 crossing = reversion completed Price can still continue further Your system exits on purpose to capture the controlled part
Estrategia Pine Script®
por evistatrading