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EURUSD/Forex Multi-Layer Statistical Regression Strategy v2📌 EUR/USD Multi-Layer Statistical Regression Strategy v2 This strategy uses multi-layer linear regression models (short, medium, and long-term) with adaptive statistical validation to generate high-confidence trading signals on EUR/USD. It combines rigorous statistical checks, dynamic weighting, and risk management into a single robust framework. 🔍 Core Methodology Three Regression Layers: Short-term, medium-term, and long-term linear regressions. Statistical Validation: R², correlation, and slope significance filters. Adaptive thresholds that adjust based on recent market behavior. Dynamic Ensemble: Signals from each layer are combined using performance-based weights. Weights adapt over time depending on layer accuracy and reliability. 📊 Signal Generation Primary & Fallback Tests: Ensures signals remain robust even when strict thresholds aren’t met. Quality Scoring: Layers contribute proportionally to their statistical strength. Ensemble Confidence: Combines agreement across layers, statistical reliability, and validation accuracy. Long/Short Entries trigger when: Ensemble score crosses ±0.3 Confidence exceeds user-defined threshold Multiple layers confirm trend direction ⚖️ Risk & Money Management Position Sizing: Adaptive, based on confidence levels. Daily Loss Protection: Strategy halts if losses exceed user-set maximum (% of equity). Confidence-Based Scaling: Larger trades placed when ensemble confidence is stronger. 📺 Visualization Regression lines plotted for each timeframe (short/medium/long). Background coloring for bullish/bearish confidence zones. Signal markers for entries (green up-triangle = Long, red down-triangle = Short). Live statistics dashboard with: R² values & significance checks Ensemble score & confidence Adaptive thresholds & reliability metrics Net profit tracking ⚠️ Notes Best suited for EUR/USD on higher intraday or daily timeframes. Parameters are fully configurable for testing across other assets. Strategy includes slippage, commissions, and capital controls for more realistic backtests. 👉 In short: This is a regression-based ensemble trading system that adapts to changing market conditions, validates its own predictions, and dynamically adjusts trade sizing while respecting strict risk management rules.
Pine Script® strategy
by ZeroDayGray
1
BTC DCA AHR999 Strategy This is an easy to understand and perform DCA strategy, based on the AHR999 indicator. The initial strategy is based on the AHR999 indicator script from discountry, that is with this script transformed into a TV strategy: The logic is pretty simple: we do a DCA buy every week (in the code it is set on monday) we do a small DCA buy, as long as AHR999 < 1.2 (signaling moderate BTC price) we do a big DCA buy, as long as AHR < 0.45 (signaling undervalued BTC price) we skip buys, as long as AHR > 1.2 (signaling overvalued BTC price) Values for "small DCA buy" and "big DCA buy" can be adjusted, aswell as timeframe, we want the backtest for and a scale factor, to show the AHR999 indicator in the plot, aswell as the spent capital and the net worth of the accumulated BTC. The scale factor of the plot can be varied, depending on the timeframe and input capital you are using (recommendation is to use a scale factor to be able to see the AHR999 indicator itself on the chart in a meaningful way).
Pine Script® strategy
by trade-forward
Adaptive MVRV & RSI Strategy V6 (Dynamic Thresholds)Strategy Explanation This is an advanced Dollar-Cost Averaging (DCA) strategy for Bitcoin that aims to adapt to long-term market cycles and changing volatility. Instead of relying on fixed buy/sell signals, it uses a dynamic, weighted approach based on a combination of on-chain data and classic momentum. Core Components: Dual-Indicator Signal: The strategy combines two powerful indicators for a more robust signal: MVRV Ratio: An on-chain metric to identify when Bitcoin is fundamentally over or undervalued relative to its historical cost basis. Weekly RSI: A classic momentum indicator to gauge long-term market strength and identify overbought/oversold conditions. Dynamic, Self-Adjusting Thresholds: The core innovation of this strategy is that it avoids fixed thresholds (e.g., "sell when RSI is 70"). Instead, the buy and sell zones are dynamically calculated based on a long-term (2-year) moving average and standard deviation of each indicator. This allows the strategy to automatically adapt to Bitcoin's decreasing volatility and changing market structure over time. Weighted DCA (Scaling In & Out): The strategy doesn't just buy or sell a fixed amount. The size of its trades is scaled based on conviction: Buying: As the MVRV and RSI fall deeper into their "undervalued" zones, the percentage of available cash used for each purchase increases. Selling: As the indicators rise further into "overvalued" territory, the percentage of the current position sold also increases. This creates an adaptive system that systematically accumulates during periods of fear and distributes during periods of euphoria, with the intensity of its actions directly tied to the extremity of market conditions.
Pine Script® strategy
by wjstienstra
Auction Market Theory: Value Area & VWAP Fade - DashboardAn "Auction Market Theory" dashboard is a visual summary of the market's state according to the principles of Auction Market Theory. It consolidates key metrics like the Value Area (VA), Point of Control (POC), and Volume-Weighted Average Price (VWAP) into a single, easy-to-read panel on your chart. What a Dashboard Shows The purpose of the dashboard is to give traders a quick, real-time snapshot of the market's auction process. It helps you answer critical questions like: Where is the market's "fair value"? This is shown by the Value Area (VA) range. Where is the most volume concentrated? This is the Point of Control (POC), the price that acts as a gravitational center. How are market participants currently positioned? The VWAP provides a measure of the average price paid, weighted by volume. Price trading above VWAP suggests a bullish volume bias, while price below suggests a bearish bias. Is the market in a state of balance or imbalance? The relationship between the current price and these key levels helps to quickly determine if the market is accepting a price range (balance) or rejecting it (imbalance/trend). How to Interpret the Dashboard Value Area (VA) & Point of Control (POC) These metrics are derived from a volume profile and are the foundation of the auction theory dashboard. The dashboard displays the VA's low and high, as well as the POC. These levels define the market's "accepted" price range for a given period. VWAP VWAP acts as a real-time moving average that is more responsive to volume than a standard moving average. It's often used as an intraday anchor. When price is significantly stretched from the VWAP (and its standard deviation bands), it's a signal of a potential over-extension and a target for a mean-reversion trade. Dashboard's Role in Trading The dashboard is not an entry signal itself, but a contextual tool. It provides the framework for your trading decisions. For a "fade the edge" strategy, you would use the dashboard to: Identify the edges: See the exact price levels of the VA and VWAP bands. Wait for the stretch: Look for price to move beyond those edges. Confirm the reversal: Only then would you look at other indicators (like RSI or volume spikes) for an entry signal. Manage the trade: Use the POC as a potential take-profit target, as price has a high probability of returning to this point of volume consensus.
Pine Script® strategy
by ra1986ju
DCA Strategy on Steroids for CryptoThis strategy getting only in Long position for Crypto Using Fast and Slow moving Averages and Stochastic RSI to get in Long position Fast and Slow moving Averages - cross-under - I Prefer - or opposite for Bull Market Stochastic RSI cross-over - 5 and Trend Determined by the Fast moving Average There is no Stop loss is not for one with small tolerance to getting under Fast and Slow moving Averages and Stochastic RSI Parameters can be adjust The bot Use Safe Trades and Price Deviation Determined from the User Max Safe Trades = 10 Take profit Parameters can be adjust in % Pepe-USDC is just a example What the bot Can do
Pine Script® strategy
by fullmax
2
Marcius Studio® - Fishing Net™Fishing Net™ — a dynamic grid trading strategy with predefined entry levels and built-in risk management. The strategy gradually builds positions as the price pulls back, and closes all trades when the Take Profit level is reached. The main concept is to accumulate positions at multiple levels, like a net, and capture potential upward movement without promising guaranteed profits. Important! This strategy is designed for HIGH-LIQUIDITY assets (ETH / BTC / SOL etc.) and is not suitable for LOW-LIQUIDITY assets. Strategy Parameters Level Step (%) : distance between grid levels. Shift (%) : offset of the first entry level relative to price. Take Profit (%) : target for closing all open positions. Number of Orders (1–10) : total number of grid levels. Risk per Trade (%) : capital risk per trade (1–100%), defines maximum position size. Example Settings Applicable for OKX:BTCUSDT.P / OKX:ETHUSDT.P / OKX:SOLUSDT.P etc. Timeframe : 1H Level Step : 1.0 Shift : 1.0 Take Profit : 5 Number of Orders : 10 Risk per Trade : 10% How the Code Works The script calculates a grid of entry levels below the current price. When the price touches a level, an order is placed with size based on equity × risk % . The strategy scales into the position gradually (up to the number of levels). When the Take Profit target is reached, all positions are closed simultaneously. All levels and the TP line are plotted on the chart for visual clarity. Past performance is not indicative of future results. Disclaimer Trading involves risk — always do your own research (DYOR) and seek professional financial advice. We are not responsible for any potential financial losses.
Pine Script® strategy
by marcius-studio
2
Marcius Studio® - DCA Grid Bot Backtesting™DCA Grid Bot Backtesting™ — is a flexible backtesting strategy for DCA grid trading. It allows you to define a price range and split it into multiple grid levels. The bot opens positions when price touches new levels and closes them at the Take Profit target, simulating real grid trading conditions. The main purpose of this tool is to test and optimize grid-based strategies with customizable parameters, capital allocation, and automatic visualization directly on the TradingView chart. Important! This strategy is intended for backtesting and educational purposes . Historical results do not guarantee future performance. How to Use Automatic: When adding the script to a chart, you can select Lower/Upper Limit and Start/End Time directly on the chart. Limits can be adjusted by dragging. Manual: Set the Lower/Upper Limit and Start/End Time directly in the script settings. Recommendations The script works best on LOW-LIQUIDITY assets when used to simulate concentrated liquidity within a VRVP-defined range. The script is designed for a LONG trend , so it performs best when opening LONG positions . The script is NOT WELL-SUITED for situations with a significant market downturn, just like any other grid bots. Strategy Settings Lower/Upper Limit: Defines the trading range for the grid. Start/End Time: Defines the backtesting period. Grid Levels: Number of price steps within the range. Take Profit (%): Auto = Grid Step Percent. Example Settings Applicable for example OKX:PUMPUSDT.P etc. Timeframe: 1H Lower Limit: 0.0023759 Upper Limit: 0.0042996 Start Time: 2025-07-25 End Time: 2025-08-16 Grid Levels: 10 Take Profit (%): Auto = Grid Step Percent. Disclaimer Trading and investing involve risk — always do your own research (DYOR) and seek professional advice. We are not responsible for any financial losses.
Pine Script® strategy
by marcius-studio
Adaptive ATR Guardian [自适应 ATR 守护者]自适应ATR守护者 | Adaptive ATR Guardian ——多品种智能交易防护策略 | Multi-Asset Intelligent Trading Protection Strategy 核心功能 | Core Features 1. 自动识别交易品种| Automatic Asset Detection • 智能识别BTC/USD、XAU/USD等品种 • Auto-detects assets (e.g., BTC/USD, XAU/USD) • 动态调整参数：ATR倍数、止盈止损比例 • Dynamic parameter tuning (ATR multipliers, TP/SL ratios) 2. 自适应ATR风控 | Adaptive ATR Risk Control • 基于真实波动率（ATR）动态计算止盈止损 • TP/SL levels adjust with ATR volatility • 参数自动优化：BTC（3xTP/1.5xSL) ,黄金（2xTP/1xSL） • Auto-optimized: BTC (3xTP/1.5xSL), Gold (2xTP/1xSL) 3. 实时动态跟踪 | Real-Time Tracking • 持仓期间止盈止损线实时更新 • Live TP/SL line updates during trades • 可视化提示：绿色止盈线、红色止损线 • Visual cues: Green TP line, Red SL line 4. 趋势跟随逻辑 | Trend-Following Logic • 双均线交叉（9MA & 21MA）触发信号 • Dual MA crossover (9MA & 21MA) for entries • 金叉做多 / 死叉做空 • Long on Golden Cross, Short on Death Cross 5. 专业可视化界面 | Professional Visualization • 图表标签显示关键参数 • On-chart label shows settings • 自适应K线范围展示所有标记 • Auto-adjusts plot ranges for clarity
Pine Script® strategy
by Jasperrrr23
Breakout asia USD/CHF1 — Customizable Parameters sess1 & sess2: The two time ranges that define the Asian session (e.g., 20:00–23:59 and 00:00–08:00). Important: format is HHMM-HHMM. rr: The risk/reward ratio (default = 3.0, meaning TP = 3× risk size). onePerSess: Toggle to allow only one trade per Asian session or multiple. bufTicks: Extra margin for the SL beyond the signal candle. 2 — Detecting the Asian Session The script checks if the candle’s time is inside the first range (sess1) or inside the second range (sess2). While inside the Asian session, it updates the current high and low. When the session ends, it locks in these levels as rangeHigh and rangeLow. 3 — Step 1: Detecting the Initial Breakout Bullish breakout → close above rangeHigh → flag breakoutUp is set to true. Bearish breakout → close below rangeLow → flag breakoutDown is set to true. No trade yet — this is just the breakout signal. 4 — Step 2: Waiting for the Retest If a bullish breakout occurred, wait for the price to return to or slightly below rangeHigh and then close back above it. If a bearish breakout occurred, wait for the price to return to or slightly above rangeLow and then close back below it. 5 — Entry & Exit When the retest is confirmed: strategy.entry() is triggered. SL = behind the retest confirmation candle (with optional bufTicks margin). TP = entry price ± RR × risk size. If onePerSess is enabled, no further trades happen until the next Asian session. 6 — Chart Display Green line = locked Asian session high. Red line = locked Asian session low. Light blue background = active Asian session hours. Trade entries are shown on the chart when retests occur.
Pine Script® strategy
by samuelmathieu0508
Recovery Zone Hedging [Starbots]Recovery Zone Hedging Strategy — Advanced Adaptive Hedge Recovery System This strategy introduces an innovative zone-based hedge recovery approach tailored to TradingView’s single-direction trading model. Designed for serious traders and professionals, it combines multiple technical indicators with dynamic position sizing and adaptive take-profit mechanisms to manage drawdowns and maximize recovery efficiency. How Recovery Zones Are Calculated The strategy defines recovery zones as a configurable percentage distance from the last executed trade price. This percentage can be adjusted to suit different market volatility environments — wider zones for volatile assets, tighter zones for stable ones. When price moves into a recovery zone against the open position, the strategy places a hedge trade in the opposite direction to help recoup losses. Dynamic Take-Profit Calculation Take-profit targets are not fixed. Instead, they increase dynamically based on any accumulated losses from previous hedge trades. For example, if your initial target is 2%, but you have a $5 loss from prior hedges, the next take-profit target adjusts upward to cover both the loss and your profit goal, ensuring the entire hedge sequence closes in net profit. Originality & Value Unlike traditional hedging or recovery scripts that rely on static stop losses and fixed trade sizing, this strategy offers: - Dynamic Hedge Entry Zones: Uses configurable percentage-based recovery zones that adapt to price volatility, allowing precise placement of hedge trades at meaningful reversal levels. - Multi-Indicator Signal Fusion: Integrates MACD and Directional Movement Index (DMI) signals to confirm trade entries, improving signal accuracy and reducing false triggers. - Exponential Position Sizing: Each hedge trade’s size grows exponentially using a customizable multiplier, accelerating loss recovery while carefully balancing capital usage. - Adaptive Take-Profit Logic: The take-profit target adjusts dynamically based on accumulated losses and profit margins, ensuring that the entire hedge sequence closes with a net gain. - Capital Usage Monitoring: A built-in dashboard tracks real-time equity consumption, preventing over-leveraging by highlighting critical capital thresholds. - Fail-Safe Exit Mechanism: An optional forced exit beyond the last hedge zone protects capital in extreme market scenarios. This strategy’s layered design and adaptive mechanisms provide a unique and powerful tool for traders seeking robust recovery systems beyond standard hedge or martingale methods. How Components Work Together - Entry Signals: The script listens for MACD line crossovers and DMI directional crosses to open an initial trade. - Recovery Zones: If the market moves against the initial position, the strategy calculates a recovery zone a set percentage away and places a hedge trade in the opposite direction. - Position Scaling: Each subsequent hedge trade increases in size exponentially according to the hedge multiplier, designed to recover all previous losses plus a profit. - Take-Profit Target: Rather than a fixed target, the TP level is dynamically calculated considering current drawdown and desired profit margin, ensuring the entire hedge sequence closes profitably. - Cycle Management: Trades alternate direction following the recovery zones until profit is realized or a maximum hedge count is reached. If needed, a forced stop-out limits risk exposure. Key Benefits for Professional Traders - Enhanced Risk Management: Real-time capital usage visualization helps maintain safe exposure levels. - Strategic Hedge Recovery: The adaptive recovery zones and exponential sizing accelerate loss recoupment more efficiently than traditional fixed-step systems. - Multi-Indicator Confirmation: Combining MACD and DMI reduces false signals and improves hedge timing accuracy. - Versatility: Suitable for multiple timeframes and asset classes with adjustable parameters. - Comprehensive Visuals: On-chart recovery zones, hedge levels, dynamic take-profits, and equity usage tables enable informed decision-making. Recommended Settings & Use Cases - Initial Position Size: 0.1–1% of account equity - Recovery Zone Distance: 2–5% price movement - Hedge Multiplier: 1.5–1.85x growth per hedge step - Max Hedge Steps: 5–10 for controlled risk exposure Ideal for trending markets where price retracements create viable recovery opportunities. Use caution in sideways markets to avoid extended hedge sequences. Important Notes - TradingView’s single-direction model means hedging is simulated via alternating trades. - Position sizes grow rapidly—proper parameter tuning is essential to avoid over-leveraging. This script is designed primarily for professional traders seeking an advanced, automated hedge recovery framework, offering superior capital efficiency and loss management.
Pine Script® strategy
by Starbots
استراتژی ساز نئو 01 🇮🇷 A **Strategy Builder** is a tool or framework that lets you **design, test, and optimize** a trading strategy based on predefined rules and conditions. **Purpose** The main goal is to remove emotional decision-making from trading by replacing it with systematic, rule-based execution. **How it works** 1. **Define rules** – You set entry, exit, and risk management conditions (e.g., *Buy when the 50-period moving average crosses above the 200-period moving average*). 2. **Choose parameters** – Such as indicator periods, stop-loss levels, take-profit targets, or position sizing methods. 3. **Backtesting** – The builder tests these rules on historical price data to show how the strategy would have performed in the past. 4. **Optimization** – Adjust the parameters to find the most effective setup while avoiding overfitting. 5. **Deployment** – Use the final strategy either for manual trading or connect it to an automated trading bot. **Key Benefits** * **Consistency** – Eliminates impulsive trades. * **Data-driven decisions** – Every trade is based on tested rules, not guesswork. * **Time-saving** – Once the rules are set, execution can be automated. * **Scalability** – You can create multiple strategies for different markets or timeframes. **Example** Imagine you want to trade EUR/USD: * **Entry rule:** Buy when RSI < 30 and the price is above the 50 SMA. * **Exit rule:** Sell when RSI > 70 or price falls below the 50 SMA. * **Risk control:** Risk 2% of account balance per trade. A Strategy Builder lets you input those rules, run them on 5 years of EUR/USD historical data, and see metrics like win rate, maximum drawdown, and profit factor before risking real money. --- If you want, I can give you a **visual diagram** showing how the process flows from idea → testing → optimization → execution. That makes the concept much easier to grasp.
Pine Script® strategy
by Kobewong1
Estrategia de NY ORB por CPThis strategy marks the New York market opening range during the first 15 minutes and confirms a buy or sell entry once the price returns and retests that range. It’s designed to capture trades of 60 points or more after the range has been retested. I suggest complementing the strategy with an indicator that highlights FVGs (Fair Value Gaps) or order blocks to better understand what price is doing and where it’s heading. esta estrategia te marca el rango de apertura del mercado de ny de los primeros 15 minutos y te confirma entrada en venta o compra una vez que el precio regrese y retestee el rango. esta diseñada para tener trades de 60 puntos o mas una vez que el rango sea retesteado. sugiero acompañar la estrategia con algun indicador que marque fvg o order blocks para tener una mejor de lo que el precio esta haciendo y hacia donde se dirige.
Pine Script® strategy
by chrismrls20
ETH/SOL 1D Dynamic Trend Core - STRATEGY v 45Overview The Dynamic Trend Core is a sophisticated, multi-layer trading engine designed to identify high-probability, trend-following opportunities. Its core philosophy is rooted in confluence, meaning it requires multiple conditions across trend, momentum, and volume to align before generating a signal. This approach aims to filter out market noise and provide a clearer view of the underlying trend. The script includes a comprehensive backtesting engine for strategy optimization and a rich, intuitive visual interface for real-time analysis. How It Works: Core Logic The engine validates signals through several sequential layers: Primary Trend Analysis (SAMA): The foundation is a Self-Adjusting Moving Average (SAMA) that dynamically determines the primary market direction (Bullish, Bearish, or Consolidation). Momentum Confirmation: Signals are then qualified using a blend of the Natural Market Slope and a Cyclic RSI to ensure momentum is firmly aligned with the established trend. Advanced Filtering Suite: A suite of optional filters provides robust confirmation and allows for deep customization: Volume & ADX: Confirms that trades are supported by sufficient market participation and trend strength. Market Regime: Gauges broad market health (e.g., using TOTAL market cap) to avoid trading against the entire market. Multi-Timeframe (MTF) Analysis: Aligns signals with the dominant trend on a higher timeframe (e.g., Weekly). BTC Cycle Analysis: Positions trades within the context of historical Bitcoin cycles using models like the Halving Cycle or Mayer Multiple. On-Chart Visuals & Features The script provides full transparency into its logic with a powerful on-chart interface. IMPORTANT: For the live visual elements to function correctly, you must enable "Recalculate on every tick" in the script's settings (Settings > Properties). Power Core Gauge: Located at the bottom-center of the chart, this gauge is the heart of the system. It displays the number of filter conditions currently met (e.g., 5/6) and "powers up" by glowing brighter as more conditions align, indicating a fully confirmed signal is ready. Live Conditions Panel: This panel in the bottom-right corner acts as a real-time pre-flight checklist. It shows the status (pass/fail) of every individual filter, so you know exactly why a signal is, or is not, being generated. Energized Trendline: The primary SAMA trendline changes color and intensity based on the strength and direction of the trend, offering immediate visual context. BTC Halving Cycle Visualizer: Provides a background color guide to the different phases of the Bitcoin halving cycle for macro context. How to Use & Configure Select Operation Mode: Backtest Mode: Use this to test different settings on historical data and find optimal configurations for a specific asset and timeframe. Alerts-Only Mode: Use this for live trading to generate alert signals without cluttering the chart with backtest data. (Contact publisher for access to this version) Configure Your Filters: Start with the default filter settings. If a potential setup is missed, check the Live Conditions Panel to see which specific filter blocked the signal. Enable, disable, or adjust filters in the script's settings to match your trading style and the asset's characteristics. Manage Your Risk: Go to the "Risk & Exit" settings to configure your Stop Loss and Take Profit parameters to match your personal risk tolerance. Disclaimer: This script is for educational and informational purposes only. It is not financial advice. All trading involves risk, and past performance is not indicative of future results. Please conduct your own research and backtesting before making any trading decisions.
Pine Script® strategy
by Andrew_S_1981
MNQ Gap-Fade (ETH) — RTH 08:30–15:00 CT, +/-3m refsStrategy overview This strategy tests a gap-fade idea on MNQ when trading an ETH chart but referencing RTH timing. It measures the overnight move from 3 minutes before the prior RTH close (14:57 CT) to 3 minutes after today’s RTH open (08:33 CT). If that gap is big enough, it bets on mean reversion at the open: Short after a large gap up Long after a large gap down How it works Sampling windows (RTH, Chicago time): Prev close sample: the 14:57 bar (3 min before 15:00 close) Open sample: the 08:33 bar (3 min after 08:30 open) These offsets help avoid opening/closing bar noise and ensure the bars have formed. Overnight % move: (OpenSample−PrevCloseSample)/PrevCloseSample × 100 Signals (at 08:33 pulse): If gap % ≥ Gap-Up threshold → enter SHORT If gap % ≤ −Gap-Down threshold → enter LONG Risk management: Per-trade TP and SL as percentages from entry (both adjustable) If still in a position at 14:57, the strategy forces flat (closes all) before the RTH close Plots & visibility: Plots the computed Overnight Gap % line Horizontal lines at your Gap-Up and Gap-Down thresholds for quick visual checks Alerts: alertcondition() events fire on: the open-sample ready pulse, gap-up short, and gap-down long conditions (Pine requires static alert messages; the % gap itself is visible on the chart.) Inputs you can adjust Times (CT): RTH open/close and the ±3 min offsets (use different values if desired) Gap thresholds (%): separate values for gap-up (short) and gap-down (long) Take-profit / Stop-loss (%): per-side percentage targets from average entry price Instrument & session notes Designed for MNQ; works on an ETH chart while internally referencing CME/Chicago (CT) RTH times via 1-minute sampling. If you prefer different markets or exact ET timestamps, change the time inputs accordingly. Assumptions & limitations This is a research/backtest tool for a simple gap-fade rule, not a complete trading system. Slippage, fills, and overnight liquidity may differ from backtest assumptions. Mean reversion can fail on trend days and during news events; use filters or wider thresholds if needed. That should be everything reviewers and users need to understand what it does and how to tune it. Want me to add a short “Suggested defaults” block (e.g., 0.75–1.25% gaps, 1% TP/SL) or a “Known gotchas” section for ETH vs. RTH charts? Ask ChatGPT
Pine Script® strategy
by hargo1980
MomentumSync-PSAR: RSI·ADX Filtered 3-Tier Exit StrategyTriSAR-E3 is a precision swing trading strategy designed to capitalize on early trend reversals using a Triple Confirmation Model. It triggers entries based on an early Parabolic SAR bullish flip, supported by RSI strength and ADX trend confirmation, ensuring momentum-backed participation. Exits are tactically managed through a 3-step staged exit after a PSAR bearish reversal is detected, allowing gradual profit booking and downside protection. This balanced approach captures trend moves early while intelligently scaling out, making it suitable for directional traders seeking both agility and control.
Pine Script® strategy
by tarangbharti18