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Rbpov1 – Opening Range Multi-Actifs Final📌 Strategy Bio – Rbpov1 Opening Range Pro 🎯 Core Concept The Rbpov1 Opening Range Pro is an advanced algorithmic trading system built around the opening range breakout concept. It is based on the observation that, after a period of consolidation (the opening range), markets often generate strong directional moves once the range is broken. This strategy is designed to be multi-asset (Forex, indices, commodities, crypto) and multi-timeframe, with the following key principles: A reference range (default: 03:00 → 06:00 UTC+2, customizable). Trade entries are taken only after the range closes. Smart filtering (trend, volatility, volume) to reduce false signals. Strict risk management in USD, with Stop Loss and Take Profit defined in multiples of R. Automatic end-of-day flat rule: all positions are closed by session end. ⚙️ Filters & Conditions 🔹 1. Trend Filter (EMA HTF) A 21-period EMA is applied to a higher timeframe (default: H4). If price is above EMA, only longs are allowed. If price is below EMA, only shorts are allowed. 👉 This aligns intraday trades with the dominant trend. 🔹 2. Volatility Filter (ATR) Uses a 14-period ATR to validate range conditions. Opening range is valid only if: Range > minATR × ATR Range < maxATR × ATR Default: minATR = 0.2, maxATR = 6.0. 👉 Filters out noise (tiny ranges) or overextended volatility. 🔹 3. Volume Filter (Optional) Breakout candle must show higher volume than the average (default SMA 20). Prevents low-liquidity breakouts. 🔹 4. Session & Trading Rules No trades during weekends (Forex). Maximum X trades per day (default: 2). Positions are force-closed at EOD (default: 19:00 UTC+2). 💰 Risk Management Dynamic position sizing in USD (capital × risk%). Stop Loss automatically set at the opposite side of the range (with optional buffer). Take Profit in multiples of R (default: 1.5R). Equity-based recalculation ensures consistency as account grows. 📊 Key Benefits ✅ Professional and modular architecture. ✅ Works across Forex, indices, gold, and crypto. ✅ Smart filtering for cleaner signals. ✅ Robust and consistent risk management. ✅ Automatic end-of-day flattening (no overnight risk). ✅ Modern and visual dashboard interface for readability. 🏆 Use Cases Forex (USD/JPY, EUR/USD, GBP/USD) → Asian session ranges. Indices (NAS100, US30, DAX) → NYSE opening ranges. Gold (XAU/USD) → Tokyo or pre-London ranges. Crypto (BTC, ETH) → Tailored to volatility peaks.
Pine Script® stratejisi
LePotDeFleur tarafından
Trading HUB V001Entry Logic: Trades are triggered when the strategy conditions (like breakouts or retests) occur. Random Trade Filter: To simulate randomness, the robot only allows a limited number of trades per day. Each trade has a chance to be taken or skipped, ensuring not every signal becomes a trade. This creates a probabilistic, randomized execution style. Max Trades per Day: You can define a daily cap (e.g., 30 trades per day). Once this number is reached, no further trades are opened until the next day. Wrong Direction Exit: If the price moves too far against the trade (measured by stop-loss distance or deviation threshold), the robot can close the position early instead of holding through large drawdowns. Backtesting-Friendly: The random logic is deterministic, meaning that backtests remain consistent and repeatable instead of changing each run.
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NewSolution tarafından
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.
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ZeroDayGray tarafından
1
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.
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wjstienstra tarafından
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.
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ra1986ju tarafından
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® stratejisi
fullmax tarafından
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.
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marcius-studio tarafından
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.
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marcius-studio tarafından
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
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Jasperrrr23 tarafından
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.
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samuelmathieu0508 tarafından
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.
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Starbots tarafından