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Simple Candle Strategy# Candle Pattern Strategy - Pine Script V6 ## Overview A TradingView trading strategy script (Pine Script V6) that identifies candlestick patterns over a configurable lookback period and generates trading signals based on pattern recognition rules. ## Strategy Logic The strategy analyzes the most recent N candlesticks (default: 5) and classifies their patterns into three categories, then generates buy/sell signals based on specific pattern combinations. ### Candlestick Pattern Classification Each candlestick is classified as one of three types: | Pattern | Definition | Formula | |---------|-----------|---------| | **Close at High** | Close price near the highest price of the candle | `(high - close) / (high - low) ≤ (1 - threshold)` | | **Close at Low** | Close price near the lowest price of the candle | `(close - low) / (high - low) ≤ (1 - threshold)` | | **Doji** | Opening and closing prices very close; long upper/lower wicks | `abs(close - open) / (high - low) ≤ threshold` | ### Trading Rules | Condition | Action | Signal | |-----------|--------|--------| | Number of Doji candles ≥ 3 | **SKIP** - Market is too chaotic | No trade | | "Close at High" count ≥ 2 + Last candle closes at high | **LONG** - Bullish confirmation | Buy Signal | | "Close at Low" count ≥ 2 + Last candle closes at low | **SHORT** - Bearish confirmation | Sell Signal | ## Configuration Parameters All parameters are adjustable in TradingView's "Settings/Inputs" tab: | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | **K-line Lookback Period** | 5 | 3-20 | Number of candlesticks to analyze | | **Doji Threshold** | 0.1 | 0.0-1.0 | Body size / Total range ratio for doji identification | | **Doji Count Limit** | 3 | 1-10 | Number of dojis that triggers skip signal | | **Close at High Proximity** | 0.9 | 0.5-1.0 | Required proximity to highest price (0.9 = 90%) | | **Close at Low Proximity** | 0.9 | 0.5-1.0 | Required proximity to lowest price (0.9 = 90%) | ### Parameter Tuning Guide #### Proximity Thresholds (Close at High/Low) - **0.95 or higher**: Stricter - only very strong candles qualify - **0.90 (default)**: Balanced - good for most market conditions - **0.80 or lower**: Looser - catches more patterns, higher false signals #### Doji Threshold - **0.05-0.10**: Strict doji identification - **0.10-0.15**: Standard doji detection - **0.15+**: Includes near-doji patterns #### Lookback Period - **3-5 bars**: Fast, sensitive to recent patterns - **5-10 bars**: Balanced approach - **10-20 bars**: Slower, filters out noise ## Visual Indicators ### Chart Markers - **Green Up Arrow** ▲: Long entry signal triggered - **Red Down Arrow** ▼: Short entry signal triggered - **Gray X**: Skip signal (too many dojis detected) ### Statistics Table Located at top-right corner, displays real-time pattern counts: - **Close at High**: Count of candles closing near the high - **Close at Low**: Count of candles closing near the low - **Doji**: Count of doji/near-doji patterns ### Signal Labels - Green label: "✓ Long condition met" - below entry bar - Red label: "✓ Short condition met" - above entry bar - Gray label: "⊠ Too many dojis, skip" - trade skipped ## Risk Management ### Exit Strategy The strategy includes built-in exit rules based on ATR (Average True Range): - **Stop Loss**: ATR × 2 - **Take Profit**: ATR × 3 Example: If ATR is $10, stop loss is at -$20 and take profit is at +$30 ### Position Sizing Default: 100% of equity per trade (adjustable in strategy properties) **Recommendation**: Reduce to 10-25% of equity for safer capital allocation ## How to Use ### 1. Copy the Script 1. Open TradingView 2. Go to Pine Script Editor 3. Create a new indicator 4. Copy the entire `candle_pattern_strategy.pine` content 5. Click "Add to Chart" ### 2. Apply to Chart - Select your preferred timeframe (1m, 5m, 15m, 1h, 4h, 1d) - Choose a trading symbol (stocks, forex, crypto, etc.) - The strategy will generate signals on all historical bars and in real-time ### 3. Configure Parameters 1. Right-click the strategy on chart → "Settings" 2. Adjust parameters in the "Inputs" tab 3. Strategy will recalculate automatically 4. Backtest results appear in the Strategy Tester panel ### 4. Backtesting 1. Click "Strategy Tester" (bottom panel) 2. Set date range for historical testing 3. Review performance metrics: - Win rate - Profit factor - Drawdown - Total returns ## Key Features ✅ **Execution Model Compliant** - Follows official Pine Script V6 standards ✅ **Global Scope** - All historical references in global scope for consistency ✅ **Adjustable Sensitivity** - Fine-tune all pattern detection thresholds ✅ **Real-time Updates** - Works on both historical and real-time bars ✅ **Visual Feedback** - Clear signals with labels and statistics table ✅ **Risk Management** - Built-in ATR-based stop loss and take profit ✅ **No Repainting** - Signals remain consistent after bar closes ## Important Notes ### Before Trading Live 1. **Backtest thoroughly**: Test on at least 6-12 months of historical data 2. **Paper trading first**: Practice with simulated trades 3. **Optimize parameters**: Find the best settings for your trading instrument 4. **Manage risk**: Never risk more than 1-2% per trade 5. **Monitor performance**: Review trades regularly and adjust as needed ### Market Conditions The strategy works best in: - Trending markets with clear directional bias - Range-bound markets with defined support/resistance - Markets with moderate volatility The strategy may underperform in: - Highly choppy/noisy markets (many false signals) - Markets with gaps or overnight gaps - Low liquidity periods ### Limitations - Works on chart timeframes only (not intrabar analysis) - Requires at least 5 bars of history (configurable) - Fixed exit rules may not suit all trading styles - No trend filtering (will trade both directions) ## Technical Details ### Historical Buffer Management The strategy declares maximum bars back to ensure enough historical data: ```pine max_bars_back(close, 20) max_bars_back(open, 20) max_bars_back(high, 20) max_bars_back(low, 20) ``` This prevents runtime errors when accessing historical candlestick data. ### Pattern Detection Algorithm ``` For each bar in lookback period: 1. Calculate (high - close) / (high - low) → close_to_high_ratio 2. If close_to_high_ratio ≤ (1 - threshold) → count as "Close at High" 3. Calculate (close - low) / (high - low) → close_to_low_ratio 4. If close_to_low_ratio ≤ (1 - threshold) → count as "Close at Low" 5. Calculate abs(close - open) / (high - low) → body_ratio 6. If body_ratio ≤ doji_threshold → count as "Doji" Signal Generation: 7. If doji_count ≥ cross_count_limit → SKIP_SIGNAL 8. If close_at_high_count ≥ 2 AND last_close_at_high → LONG_SIGNAL 9. If close_at_low_count ≥ 2 AND last_close_at_low → SHORT_SIGNAL ``` ## Example Scenarios ### Scenario 1: Bullish Signal ``` Last 5 bars pattern: Bar 1: Closes at high (95%) ✓ Bar 2: Closes at high (92%) ✓ Bar 3: Closes at mid (50%) Bar 4: Closes at low (10%) Bar 5: Closes at high (96%) ✓ (last bar) Result: - Close at high count: 3 (≥ 2) ✓ - Last closes at high: ✓ - Doji count: 0 (< 3) ✓ → LONG SIGNAL ✓ ``` ### Scenario 2: Skip Signal ``` Last 5 bars pattern: Bar 1: Doji pattern ✓ Bar 2: Doji pattern ✓ Bar 3: Closes at mid Bar 4: Doji pattern ✓ Bar 5: Closes at high Result: - Doji count: 3 (≥ 3) → SKIP SIGNAL - Market too chaotic ``` ## Performance Optimization ### Tips for Better Results 1. **Use Higher Timeframes**: 15m or higher reduces false signals 2. **Combine with Indicators**: Add volume or trend filters 3. **Seasonal Adjustment**: Different parameters for different seasons 4. **Instrument Selection**: Test on liquid, high-volume instruments 5. **Regular Rebalancing**: Adjust parameters quarterly based on performance ## Troubleshooting ### No Signals Generated - Check if lookback period is too large - Verify proximity thresholds aren't too strict (try 0.85 instead of 0.95) - Ensure doji limit allows for trading (try 4-5 instead of 3) ### Too Many False Signals - Increase proximity thresholds to 0.95+ - Reduce lookback period to 3-4 bars - Increase doji limit to 3-4 - Test on higher timeframes ### Strategy Tester Shows Losses - Review individual trades to identify patterns - Adjust stop loss and take profit ratios - Change lookback period and thresholds - Test on different market conditions ## References - (www.tradingview.com) - (www.tradingview.com) - (www.investopedia.com) - (www.investopedia.com) ## Disclaimer **This strategy is provided for educational and research purposes only.** - Not financial advice - Past performance does not guarantee future results - Always conduct thorough backtesting before live trading - Trading involves significant risk of loss - Use proper risk management and position sizing ## License Created: December 15, 2025 Version: 1.0 --- **For updates and modifications, refer to the accompanying documentation files.**
Pine Script® Strategie
von masteraux101
Improved Candle Strategy (without daily squared)# Candle Pattern Trading Strategy ## Core Logic Analyzes the last 5 candlesticks to identify "close at high" and "close at low" patterns, generating long/short signals. ## Trading Conditions - **Long**: ≥2 bars closed at high in past 5 bars + current bar closes at high → Open long - **Short**: ≥2 bars closed at low in past 5 bars + current bar closes at low → Open short - **Filter**: If ≥3 doji patterns detected, skip trading ## Risk Management - Stop Loss: Based on entry bar's high/low - Take Profit: Risk × 2x multiplier - Cooldown: No trading for 2 bars after entry - Session Filter: No trading for first 5 bars after market open ## Configurable Parameters - Lookback period, doji threshold, close proximity ratio, TP/SL ratio, cooldown bars, etc. **Use Cases**: 1-minute and higher timeframes on stocks/futures
Pine Script® Strategie
von masteraux101
POWER STRATEGY - Perfect for Meme Coins by OeZkAN📈 POWER STRATEGY - PRO EXTENDED FILTER (NO FIB ATR, TUNABLE) This is a comprehensive, multi-layered trend-following strategy designed for Pine Script v5. It is built around a core EMA Re-Test entry logic, significantly enhanced by multiple, optional filters for Conviction, Volatility, Multi-Timeframe (MTF) Alignment, and Price Action Context (like FVAG, Divergence, Mobility, and LSOB), making it highly customizable and robust. 🌟 Core Logic & Trend Filtering The strategy aims to trade pullbacks/re-tests toward a primary Exponential Moving Average (EMA). Primary Trend Filter (EMA): An adjustable EMA (default 50) determines the dominant trend. Long Condition: Price is above the EMA. Short Condition: Price is below the EMA. Re-Test Entry: An entry signal is generated when the price briefly touches or crosses the EMA (the "Re-Test") but immediately rejects it and closes back on the trend side (e.g., a candle's low hits the EMA, but it closes bullishly above it). Confirmation (Optional): The useConfirmation setting enforces a waiting period (confirmationBars) after the initial re-test to ensure the price moves a minimum distance (confirmationThreshold, measured in multiples of ATR) away from the re-test low/high, confirming the bounce strength. 🎯 Advanced Filter Stack (The 'Extended Filter') This strategy integrates multiple optional filters, providing a high degree of control over trade quality. All filters use the ATR (Average True Range) for dynamic, volatility-adjusted calculations. Volatility Filter: Ensures the market is neither too calm (minVolatility) nor too excessively volatile (maxVolatility) by comparing the current ATR to a long-term SMA of the ATR. Conviction Score & MTF Alignment: Conviction Score: A weighted score (max 6 points) combining the primary EMA trend (2 points) and alignment across three user-defined Multi-Timeframes (MTF TF1, TF2, TF3, 1 point each). MTF Agreement: Requires a minimum number of timeframes (minTFAgreement) to agree with the entry direction. The Entry Conviction Level (minConvictionEntry) then acts as the final quality gate. FVAG Filter (Fair Value Area Gap): Uses an SMA and ATR-based bands to identify when the price is pulling back into a 'Fair Value Area' (similar to Mean Reversion context) to align entries with high-probability reversal zones. Pro Mobility Score (Optional): Measures the size of the current bar range relative to the average bar range over a mobilityLength period. Used to ensure sufficient current market movement for an effective trade. LSOB Filter (Last Stagnant Order Block - simplified): Tries to detect if the price is near a recent low-volatility consolidation zone, filtering for potential breakout/continuation trades from these areas. Divergence Filter (Optional): Uses RSI to check for Bullish or Bearish Divergence, aiming to align entries with underlying momentum shifts. 🛡️ Risk Management & Controllers Dynamic TP/SL: Take Profit (TP1, TP2, TP3) and Stop Loss (SL) levels are dynamically calculated as multiples of the current ATR value. Minimum R:R Ratio: The strategy blocks entries where the calculated Risk-to-Reward ratio (based on SL to TP1) is below a user-defined threshold (minRiskReward). Trailing Stop: When activated (useTrailing), the stop-loss is moved to Breakeven after TP1 is hit, with an additional buffer (beBuffer x ATR). The stop then trails the price by a defined trailingDistance x ATR. Auto-Fix Controllers: A unique feature designed to increase stability. The controllers monitor for core anomalies (errorMonitor) and calculation issues (calcIntegrity). In auto_fix mode, they apply non-intrusive fixes (e.g., temporarily relaxing the minConvictionEntry or disabling trailing stop if errors are detected) and can block entries for severe issues (safetyBlock). 🛠️ Customization and Use This strategy is highly tunable. Users can selectively enable/disable filters to adapt the logic to different market conditions or assets. Grouped Inputs: Inputs are logically grouped for easy adjustment of Trend, Volatility, Confirmation, Entry, TP/SL, Trailing, and various Filter settings. Debug Mode: Enables detailed on-chart labels for internal variables (Conviction Score, Volatility, etc.) to aid in backtesting and optimization. 📢 Check Out My Other Work! If you find this strategy valuable, please take a moment to explore my profile on TradingView. I have developed several other unique and robust Pine Script strategies and indicators focused on combining multiple data layers (price action, volume, volatility, and order flow concepts) into high-probability trading models. They are definitely worth a look for any serious trader! Disclaimer This script is for educational and testing purposes only. Trading involves significant risk, and past performance is not indicative of future results.
Pine Script® Strategie
von Oezkan1983
Backtest any Indicator [Target Mode] StrategyUniversal Backtester Strategy with Sequential Logic This strategy serves as a highly versatile, universal backtesting engine designed to test virtually any indicator-based trading system without requiring custom code for every new idea. It transforms standard indicator comparisons into a robust trading strategy with advanced features like sequential entry steps, dynamic target modes, and automated webhook alerts. The core philosophy of this script is flexibility. Whether you are testing simple crossovers (e.g., MA Cross) or complex multi-stage setups (e.g., RSI overbought followed by a MACD flip), this tool allows you to configure logic via the settings panel and immediately see backtested results with professional-grade risk management. Core Logic: Source vs. Target Mode The fundamental building block of this strategy is the "Comparator" engine. Instead of hard-coding specific indicators, the script allows users to define logic slots (L1-L5 for Longs, S1-S5 for Shorts). Each slot operates on a flexible comparison logic: Source: The primary indicator you are testing (e.g., Close Price, RSI, Volume). Operator: The condition to check (Equal/Cross, Greater Than, Less Than). Target Mode: Value Mode: Compares the Source against a fixed number (e.g., RSI > 70). Source Mode: Compares the Source against another dynamic indicator (e.g., Close > SMA 200). This "Target Mode" switch allows the strategy to adapt to almost any technical analysis concept, from oscillator levels to moving average trends. Advanced Entry System: Sequential Steps (1-5) Unlike standard backtesters that usually require all conditions to happen simultaneously (AND logic), this strategy implements a State Machine for sequential execution. Each of the 5 entry slots (L1-L5 / S1-S5) is assigned a "Step" number. The logic flows as follows: Stage 1: The strategy waits for all conditions assigned to "Step 1" to be true. Latch & Wait: Once Step 1 is met, the strategy "remembers" this and advances to Stage 2. It waits for a subsequent bar to satisfy Step 2 conditions. Trigger: The actual trade entry is only executed once the highest assigned step is completed. Example Use Case: Step 1: Price closes below the Lower Bollinger Band (Dip). Step 2: RSI crosses back above 30 (Confirmation). Execution: Buy Signal triggers on the Step 2 confirmation candle. This creates a realistic "Setup -> Trigger" workflow common in professional trading, preventing premature entries. Exit Logic & Risk Management The strategy employs a dual-layer exit system to maximize profit retention and protect capital. 1. Signal-Based Exits (OR Logic) There are 5 configurable exit slots (LX1-LX5 / SX1-SX5). Unlike entries, these operate on "OR" logic. If any enabled exit condition is met (e.g., RSI becomes overbought OR Price crosses below EMA), the position is closed immediately. 2. Hard Stop & Take Profit Fixed %: Users can set a hard percentage-based Stop Loss and Take Profit. Trailing Stop: A toggleable "Trailing?" feature allows the Stop Loss to dynamically trail the price. Longs: The SL moves up as the price makes new highs. Shorts: The SL moves down as the price makes new lows. Automated Alerts & Webhooks This script is built with automation in mind. It includes a dedicated makeJson() function that constructs a JSON payload compatible with most trading bots (e.g., 3Commas, TradersPost, Tealstreet). Alert Modes Supported: | Alert Type | Description | | :--- | :--- | | Order Fills Only | Triggers standard TradingView strategy alerts when the broker emulator fills an order. | | Alert() Function | Triggers specific JSON payloads defined in the code ("action": "buy", "ticker": "MNQ", etc.). | The script automatically calculates the alert quantity based on your equity percentage settings, ensuring the payload matches your backtest sizing. Dashboard & Visuals To aid in rapid analysis, the strategy includes visual tools directly on the chart: Performance Table: A dashboard (top-right) displays real-time stats including Net Profit, Win Rate, Profit Factor, and Max Drawdown. Trade Markers: Custom labels (goLong, exLong) show exactly where trades opened and closed, including the trade number and profit percentage. SL/TP Visualization: Dynamic step-lines (Orange for SL, Lime for TP) show exactly where your protection levels are sitting, helping you visually verify if your stops are too tight or too loose.
Pine Script® Strategie
von jegbejimba
FxAST LiteWave Universal Profiles (intraday / swing)FxAST Lite Wave — Universal (Profiles) This strategy is intended for educational and analytical use. Derivative works must retain attribution and license terms. _____________________________________________________________________________ Overview FxAST Lite Wave is a rule-based trend participation strategy designed to adapt across multiple markets and timeframes using a simple profile switch. Rather than attempting to predict reversals or tops and bottoms, the strategy focuses on identifying continuation opportunities once directional alignment and market participation are already present. Its purpose is to provide a structured, repeatable framework for studying trend behavior and managing trades within established directional moves. _______________________________________________________________________________ How It Works FxAST Lite Wave evaluates market conditions using a layered confirmation process that includes: • Directional bias • Trend alignment • Momentum participation • Volatility suitability • Market regime awareness Trades are only considered when these conditions align, helping to reduce low-quality signals and overtrading during unfavorable environments. Two built-in profiles are provided: Intraday — designed for shorter-term participation Swing — designed for higher-timeframe continuation _______________________________________________________________________________ Core Concepts (Plain English) Direction Identifies which side of the market is currently in control. This answers: “Is pressure aligned for continuation?” _______________________________________________________________________________ Momentum Confirms that price is moving with intent rather than drifting or stalling. This answers: “Is participation present?” _______________________________________________________________________________ Regime Filters out unfavorable conditions such as congestion, compression, or low-energy chop. This answers: “Is this a tradable environment?” _______________________________________________________________________________ Continuation Focus Entries are designed to occur after alignmen t, not at arbitrary turning points. The strategy favors: • Pullbacks within trend • Momentum resumption • Sustained directional movement _______________________________________________________________________________ Risk & Trade Management FxAST Lite Wave includes structured trade management logic: • Volatility-aware initial risk • Optional partial profit taking • Optional breakeven and trailing behavior • Optional time-based exits • Optional equity-based position sizing A built-in on-chart Backtesting HUB displays live performance statistics for transparency and review. _______________________________________________________________________________ Philosophy FxAST Lite Wave is intentionally not a signal-spamming strategy . It is designed to: • Reduce decision fatigue • Encourage rule-based consistency • Support disciplined execution If you need: precise entries → use price action precise exits → use structure system context → use Lite Wave _______________________________________________________________________________ Disclaimer This strategy is provided for educational and analytical purposes only and does not constitute financial advice. Trading involves risk, and users are responsible for their own decisions. responsible for their own decisions.
Pine Script® Strategie
von alldyn_pip_king
Recovery Adaptive Strategy [Starbots]🔁 Recovery Adaptive Strategy Recovery Adaptive Strategy is an advanced, single-position trading strategy designed for professional traders who require adaptive exposure control, dynamic profit targeting, and rule-based recovery mechanics in high-volatility market environments. The strategy applies a structured loss-streak framework where position sizing and take-profit objectives evolve systematically based on prior trade outcomes, while maintaining strict one-position execution at all times. 🧠 Strategic Framework This strategy is built around a controlled adaptive execution model: Only one position is active at any time Each closed trade directly influences the parameters of the next entry After a losing trade: Position size scales according to a defined factor Take-profit expands proportionally using a configurable multiplier After a winning trade: All parameters reset to their base configuration Scaling progression is capped via a configurable maximum step limit The methodology is designed to efficiently capitalize on expansion phases, volatility impulses, and directional inefficiencies, making it particularly suitable for high-volatility instruments and regimes. ⚙️ Adaptive Position Management Position Sizing Modes Percentage of Equity Fixed Base Currency Amount (USDT / USD / EUR, etc.) Each subsequent step applies a configurable size multiplier, enabling precise control over exposure progression across loss streaks. 🎯Dynamic Take-Profit Scaling Take-profit levels increase automatically with each scaling step A dedicated TP multiplier allows fine-tuning of profit expansion behavior All targets are recalculated and updated dynamically while positions are open Execution Control Single-position logic (no grid, no concurrent hedging) Optional forced exit and full reset upon reaching the maximum scaling step Bar-confirmed execution to avoid signal repainting 📈 Signal Generation & Market Filters The strategy supports multiple professional-grade entry models, selectable via settings: MACD (12,26,9) DMI (14) RSI (70 / 30) Stochastic (14,3,3) Bollinger Bands + RSI Market Structure (BOS / CHoCH) Additional execution layers include: Higher-timeframe signal evaluation Volatility-based trade filtering EMA trend alignment Flat-market detection (optional) The strategy is optimized for active, volatile markets, where price expansion and follow-through are frequent. 📊 Institutional-Style Analytics & Visualization Integrated analytics provide full transparency into strategy behavior: Adaptive Scaling Table Position size per step Take-profit expansion per step Loss-streak hit distribution On-Chart Execution Labels Equity Usage Overview Monthly & Yearly Performance Calendar Backtest vs. Leverage Projection Dashboard All dashboards and visual components are optional and configurable. 🧩 Intended Use This strategy is designed for: Advanced discretionary traders Systematic traders Quantitative research and optimization High-volatility instruments and environments It emphasizes structure, adaptability, and execution discipline, rather than static position sizing or fixed targets.
Pine Script® Strategie
von Starbots
SVTR [Ultimate]SVTR v1.0 is a fully automated trading strategy designed to identify high-probability market opportunities using structured momentum, trend validation, and risk-controlled execution logic. This strategy is not a simple signal generator. It is a complete decision engine that evaluates market conditions, confirms entries with multiple filters, and manages trades automatically according to predefined logic. Built for traders who want consistency, discipline, and objective execution, SVTR removes emotional bias and delivers rule-based trading across different market environments. KEY FEATURES • Fully automated entry and exit logic • Multi-layer confirmation system • Momentum and trend validation • Smart trade filtering to reduce noise • Works on multiple markets and timeframes • Non-repainting logic • Alert-ready for automation and integrations AUTOMATED STRATEGY LOGIC SVTR continuously analyzes the market and only executes trades when all required conditions align. This prevents overtrading and avoids weak or low-quality setups. The strategy is designed to: Enter when momentum and direction are confirmed Avoid choppy and uncertain market phases Exit trades based on objective, rule-driven logic Maintain consistency regardless of emotions or bias WHY THIS STRATEGY? Most traders fail not because of bad ideas, but because of: Late entries Emotional decisions Overtrading Lack of discipline SVTR v1.0 solves these problems by automating the decision process and executing trades exactly as designed, every time. You trade the system. Not your emotions. WHO IS IT FOR? • Traders looking for automated execution • System-based and rule-driven traders • Swing traders and intraday traders • Traders who want consistency over discretion • Users who want a ready-to-use strategy framework IMPORTANT NOTES • Invite-Only / Private access • Source code is protected • Designed for backtesting, automation, and live monitoring • Strategy behavior may vary depending on market conditions and settings VERSION v1.0 – Initial Private Release Future updates may include optimizations, additional filters, and performance improvements. FINAL STATEMENT SVTR v1.0 is built for traders who value structure, confirmation, and automation over guesswork. If you are looking for a strategy that executes with discipline, filters weak setups, and operates as a complete automated system, this strategy is designed for you.
Pine Script® Strategie
von Mo1ra
2
Mutanabby_AI | ONEUSDT_MR1 ONEUSDT Mean-Reversion Strategy | 74.68% Win Rate | 417% Net Profit This is a long-only mean-reversion strategy designed specifically for ONEUSDT on the 1-hour timeframe. The core logic identifies oversold conditions following sharp declines and enters positions when selling pressure exhausts, capturing the subsequent recovery bounce. Backtested Period: June 2019 – December 2025 (~6 years) Performance Summary | Metric | Value | |--------|-------| | Net Profit | +417.68% | | Win Rate | 74.68% | | Profit Factor | 4.019 | | Total Trades | 237 | | Sharpe Ratio | 0.364 | | Sortino Ratio | 1.917 | | Max Drawdown | 51.08% | | Avg Win | +3.14% | | Avg Loss | -2.30% | | Buy & Hold Return | -80.44% | Strategy Logic : Entry Conditions (Long Only): The strategy seeks confluence of three conditions that identify exhausted selling: 1. Prior Move Filter:*The price change from 5 bars ago to 3 bars ago must be ≥ -7% (ensures we're not entering during freefall) 2. Current Move Filter: The price change over the last 2 bars must be ≤ 0% (confirms momentum is stalling or reversing) 3. Three-Bar Decline: The price change from 5 bars ago to 3 bars ago must be ≤ -5% (confirms a significant recent drop occurred) When all three conditions align, the strategy identifies a potential reversal point where sellers are exhausted. Exit Conditions: - Primary Exit: Close above the previous bar's high while the open of the previous bar is at or below the close from 9 bars ago (profit-taking on strength) - Trailing Stop: 11x ATR trailing stop that locks in profits as price rises Risk Management - Position Sizing:Fixed position based on account equity divided by entry price - Trailing Stop:11× ATR (14-period) provides wide enough room for crypto volatility while protecting gains - Pyramiding:Up to 4 orders allowed (can scale into winning positions) - **Commission:** 0.1% per trade (realistic exchange fees included) Important Disclaimers ⚠️ This is NOT financial advice. - Past performance does not guarantee future results - Backtest results may contain look-ahead bias or curve-fitting - Real trading involves slippage, liquidity issues, and execution delays - This strategy is optimized for ONEUSDT specifically — results may differ on other pairs - Always test before risking real capital Recommended Usage - Timeframe:*1H (as designed) - Pair: ONEUSDT (Binance) - Account Size: Ensure sufficient capital to survive max drawdown Source Code Feedback Welcome I'm sharing this strategy freely for educational purposes. Please: - Drop a comment with your backtesting results any you analysis - Share any modifications that improve performance - Let me know if you spot any issues in the logic Happy trading As a quant trader, do you think this strategy will survive in live trading? Yes or No? And why? I want to hear from you guys
Pine Script® Strategie
von Mutanabby_AI
1
GIX Analizor strategiiGIX Analyzer – Intelligent Time Filters + X Strategy This script combines the X Strategy with an advanced system for filtering trades based on time intervals. The strategy allows: Filtering by preset trading hours (active sessions ) Filtering by a fully customizable time interval (hour + minute, Romania time ) Filtering by calendar range (Start Date → End Date) Simultaneous activation of both time-filter modes for maximum control Trading only within valid time ranges, while keeping all logic unchanged This indicator provides high flexibility for testing and optimizing trading entries based on hours, minutes, and calendar periods—while preserving the simplicity and efficiency of any strategy
Pine Script® Strategie
von client_nagiro
Market Dynamics - Backtest Engine [NeuraAlgo]Market Dynamics – Backtest Engine Market Dynamics – Backtest Engine is an advanced research-grade trading framework engineered by NeuraAlgo. 🔹 Core Engine – Dynamic Trend Model The strategy leverages the NeuraAlgo – Market Dynamics indicator as its foundation, providing intelligent insights to guide trading decisions. It is designed to automatically identify the optimal settings for the NeuraAlgo – Market Dynamics indicator, helping traders fine-tune their strategy for maximum efficiency, accuracy, and profitability. This engine dynamically adapts to market conditions, ensuring your strategy stays optimized in real-time. 🔹 Optimization Engine A built-in optimization module allows automatic testing of: Winrate-focused configurations Profit-focused configurations Sensitivity ranges Step sizes Main Entry, Main Filter, Feature Filter, and Risk Manager categories This enables rapid identification of optimal parameters similar to a lightweight AI optimizer. This Backtesting + Auto Optimization Engine includes an integrated optimizer that automatically tests sensitivity ranges: Maximize Winrate Maximize Profits Optimize Main Entries, Risk Manager, or Feature Filters Users can set: start sensitivity step size parameter category The engine autonomously computes which parameter delivers the strongest performance. 🔹 How To Use 1. Identify the Parameters First, you need to know which indicator parameters can be optimized. For the NeuraAlgo – Market Dynamics indicator, these might include: Trend sensitivity Smoothing periods Threshold values for bullish/bearish signals These parameters are the inputs your engine will test. 2. Define a Range For each parameter, define a range of values to test. Example: Sensitivity: 2 → 10 Trend period: 14 → 50 Threshold: 0.1 → 1.0 The more granular the range, the more precise the optimization—but it will also take longer. 3. Run Backtest Optimization Attach the strategy to a chart. Select optimization mode in your engine (or set the range for each parameter). Start the backtest: the engine will simulate trades for every combination of parameter values. The system will automatically record key metrics for each run: Net profit Win rate Profit factor Max drawdown 4. Analyze the Results After the backtest, your engine will display a results table or chart showing performance for each parameter combination. Look for: Highest net profit Highest win rate Or a combination depending on your strategy goals Some engines will highlight the “best” parameter set automatically. 5. Apply Optimal Settings Once identified: Select the best-performing parameter values. Apply them to your live strategy or paper trade. Optionally, forward test to confirm they work on unseen market data. Congratulations! The setup is now optimized. 🔹 Conclusion The backtest optimization process helps you find the best parameter values for the NeuraAlgo – Market Dynamics indicator by systematically testing different settings and measuring their performance. By analyzing metrics like net profit, win rate, and drawdown, you can select optimized parameters that are more likely to perform consistently in real trading. Proper optimization ensures your strategy is data-driven, adaptable, and reduces guesswork, giving you a stronger edge in the market.
Pine Script® Strategie
von NeuraAlgo
5-Min Range Breakout (09:30 NY on MNQ)This is a 5 - min orb strat that a youtuber mentioned and i had a manual look for a while and thought it was actually pretty good but my results are bad. Feel free to look yourself with this code. Basically this strat is using the 5min orb then go down to 1min timeframe and wait for a breakout with FVG confirmation. So candle after breaking candle is our entry only if FVG is formed. However i do notice if you dump this code onto 5min timefraem and above you start consistently making money but it is a very small amount for me so you all can have it. Good starter strat on 5min or 10min timeframe
Pine Script® Strategie
von ryanfoot7
1
EMA + Sessions + RSI Strategy v1.0A professional trading strategy that combines multiple technical indicators for high-probability entries. This system uses EMA crossovers, RSI zone filtering, and trend confirmation to identify optimal trading opportunities while managing risk with advanced position management tools. Key Features: ✅ Dual Entry Signals (EMA21 + EMA100 crossover conditions) ✅ Trend Filter EMA750 (trade only with the major trend) ✅ Complete Risk Management (SL 1%, TP 3% default) ✅ Trailing Stop & Breakeven (maximize profits, protect capital) ✅ Compact Statistics Table (real-time performance metrics) ✅ RSI & Session Filters (avoid low-probability setups) ✅ Optional Pyramiding (scale into winning positions) Perfect for swing trading and trend-following on any timeframe. Fully customizable to match your trading style.
Pine Script® Strategie
von jake_theboss
1
Simple Grid Trading v1.0 [PUCHON]Simple Grid Trading v1.0 Overview This is a Long-Only Grid Trading Strategy developed in Pine Script v6 for TradingView. It is designed to profit from market volatility by placing a series of Buy Limit orders at predefined price levels. As the price drops, the strategy accumulates positions. As the price rises, it sells these positions at a profit. Features Grid Types : Supports both Arithmetic (equal price spacing) and Geometric (equal percentage spacing) grids. Flexible Order Management : Uses strategy.order for precise control and prevents duplicate orders at the same level. Performance Dashboard : A real-time table displaying key metrics like Capital, Cashflow, and Drawdown. Advanced Metrics : Includes Max Drawdown (MaxDD) , Avg Monthly Return , and CAGR calculations. Customizable : Fully adjustable price range, grid lines, and lot size. Dashboard Metrics The dashboard (default: Bottom Right) provides a quick snapshot of the strategy's performance: Initial Capital : The starting capital defined in the strategy settings. Lot Size : The fixed quantity of assets purchased per grid level. Avg. Profit per Grid : The average realized profit for each closed trade. Cashflow : The total realized net profit (closed trades only). MaxDD : Maximum Drawdown . The largest percentage drop in equity (realized + unrealized) from a peak. Avg Monthly Return : The average percentage return generated per month. CAGR : Compound Annual Growth Rate . The mean annual growth rate of the investment over the specified time period. Strategy Settings (Inputs) Grid Settings Upper Price : The highest price level for the grid. Lower Price : The lowest price level for the grid. Number of Grid Lines : The total number of levels (lines) in the grid. Grid Type : Arithmetic: Distance between lines is fixed in price terms (e.g., $10, $20, $30). Geometric: Distance between lines is fixed in percentage terms (e.g., 1%, 2%, 3%). Lot Size : The fixed amount of the asset to buy at each level. Dashboard Settings Show Dashboard : Toggle to hide/show the performance table. Position : Choose where the dashboard appears on the chart (e.g., Bottom Right, Top Left). How It Works Initialization : On the first bar, the script calculates the price levels based on your Upper/Lower price and Grid Type. Entry Logic : The strategy places Buy Limit orders at every grid level below the current price. It checks if a position already exists at a specific level to avoid "stacking" multiple orders on the same line. Exit Logic : For every Buy order, a corresponding Sell Limit (Take Profit) order is placed at the next higher grid level. MaxDD Calculation : The script continuously tracks the highest equity peak. It calculates the drawdown on every bar (including intra-bar movements) to ensure accuracy. Displayed as a percentage (e.g., 5.25%). Disclaimer This script is for educational and backtesting purposes only. Grid trading involves significant risk, especially in strong trending markets where the price may move outside your grid range. Always use proper risk management.
Pine Script® Strategie
von ProPuchon
Alt Trading: FuturesOne The FuturesOne Indicator + Strategy will be continuously enhanced to ensure our users receive the most effective and profit-focused trading system at the best possible value. Version 0 (V0) of the FuturesOne Strategy is built on a refined Opening Range Breakout (ORB) framework, augmented with a quantitative regime-detection and filtering layer. This design allows users to tailor their approach: they may opt for consistent daily ORB opportunities or select a mode that applies quantitative filters to surface fewer, but higher-probability, trade setups.
Pine Script® Strategie
von futuresone
1
STRATEGY 1 │ Red Dragon │ Model 1 │ Pro │ [Titans_Invest]The Red Dragon Model 1 is a fully automated trading strategy designed to operate BTC/USDT.P on the 4-hour chart with precision, stability, and consistency. It was built to deliver reliable behavior even during strong market movements, maintaining operational discipline and avoiding abrupt variations that could interfere with the trader’s decision-making. Its core is based on a professionally engineered logical structure that combines trend filters, confirmation criteria, and balanced risk management. Every component was designed to work in an integrated way, eliminating noise, avoiding unnecessary trades, and protecting capital in critical moments. There are no secret mechanisms or hidden logic: everything is built to be objective, clean, and efficient. Even though it is based on professional quantitative engineering, Red Dragon Model 1 remains extremely simple to operate. All logic is clearly displayed and fully accessible within TradingView itself, making it easy to understand for both beginners and experienced traders. The structure is organized so that any user can quickly view entry conditions, exit criteria, additional filters, adjustable parameters, and the full mechanics behind the strategy’s behavior. In addition, the architecture was built to minimize unnecessary complexity. Parameters are straightforward, intuitive, and operate in a balanced way without requiring deep adjustments or advanced knowledge. Traders have full freedom to analyze the strategy, understand the logic, and make personal adaptations if desired—always with total transparency inside TradingView. The strategy was also designed to deliver consistent operational behavior over the long term. Its confirmation criteria reduce impulsive trades; its filters isolate noise; and its overall logic prioritizes high-quality entries in structured market movements. The goal is to provide a stable, clear, and repeatable flow—essential characteristics for any medium-term quantitative approach. Combining clarity, professional structure, and ease of use, Red Dragon Model 1 offers a solid foundation both for users who want a ready-to-use automated strategy and for those looking to study quantitative models in greater depth. This entire project was built with extreme dedication, backed by more than 14,000 hours of hands-on experience in Pine Script, continuously refining patterns, techniques, and structures until reaching its current level of maturity. Every line of code reflects this long process of improvement, resulting in a strategy that unites professional engineering, transparency, accessibility, and reliable execution. 🔶 MAIN FEATURES • Fully automated and robust: Operates without manual intervention, ideal for traders seeking consistency and stability. It delivers reliable performance even in volatile markets thanks to the solid quantitative engineering behind the system. • Multiple layers of confirmation: Combines 10 key technical indicators with 15 adaptive filters to avoid false signals. It only triggers entries when all trend, market strength, and contextual criteria align. • Configurable and adaptable filters: Each of the 15 filters can be enabled, disabled, or adjusted by the user, allowing the creation of personalized statistical models for different assets and timeframes. This flexibility gives full freedom to optimize the strategy according to individual preferences. • Clear and accessible logic: All entry and exit conditions are explicitly shown within the TradingView parameters. The strategy has no hidden components—any user can quickly analyze and understand each part of the system. • Integrated exclusive tools: Includes complete backtest tables (desktop and mobile versions) with annualized statistics, along with real-time entry conditions displayed directly on the chart. These tools help monitor the strategy across devices and track performance and risk metrics. • No repaint: All signals are static and do not change after being plotted. This ensures the trader can trust every entry shown without worrying about indicators rewriting past values. 🔷 ENTRY CONDITIONS & RISK MANAGEMENT Red Dragon Model 1 triggers buy (long) or sell (short) signals only when all configured conditions are satisfied. For example: • Volume: • The system only trades when current volume exceeds the volume moving average multiplied by a user-defined factor, indicating meaningful market participation. • RSI: • Confirms bullish bias when RSI crosses above its moving average, and bearish bias when crossing below. • ADX: • Enters long when +DI is above –DI with ADX above a defined threshold, indicating directional strength to the upside (and the opposite conditions for shorts). • Other indicators (MACD, SAR, Ichimoku, Support/Resistance, etc.) Each one must confirm the expected direction before a final signal is allowed. When all bullish criteria are met simultaneously, the system enters Long; when all criteria indicate a bearish environment, the system enters Short. In addition, the strategy uses fixed Take Profit and Stop Loss targets for risk control: Currently: TP around 1.5% and SL around 2.0% per trade, ensuring consistent and transparent risk management on every position. ⚙️ INDICATORS __________________________________________________________   1) 🔊 Volume: Avoids trading on flat charts.   2) 🍟 MACD: Tracks momentum through moving averages.   3) 🧲 RSI: Indicates overbought or oversold conditions.   4) 🅰️ ADX: Measures trend strength and potential entry points.   5) 🥊 SAR: Identifies changes in price direction.   6) ☁️ Cloud: Accurately detects changes in market trends.   7) 🌡️ R/F: Improves trend visualization and helps avoid pitfalls.   8) 📐 S/R: Fixed support and resistance levels.   9)╭╯MA: Moving Averages. 10) 🔮 LR: Forecasting using Linear Regression. __________________________________________________________ 🟢 ENTRY CONDITIONS 🔴 __________________________________________________________ IF all conditions are 🟢 = 📈 Long IF all conditions are 🔴 = 📉 Short __________________________________________________________ 🚨 CURRENT TRIGGER SIGNAL 🚨 __________________________________________________________ 🔊 Volume 🟢 LONG  = (volume) > (MA_volume) * (Volume Mult) 🔴 SHORT = (volume) > (MA_volume) * (Volume Mult) 🧲 RSI 🟢 LONG  = (RSI) > (RSI_MA) 🔴 SHORT = (RSI) < (RSI_MA) 🟢 ALL ENTRY CONDITIONS AVAILABLE 🔴 __________________________________________________________ 🔊 Volume 🟢 LONG  = (volume) > (MA_volume) * (Volume Mult) 🔴 SHORT = (volume) > (MA_volume) * (Volume Mult) 🔊 Volume 🟢 LONG  = (volume) > (MA_volume) * (Volume Mult) and (close) > (open) 🔴 SHORT = (volume) > (MA_volume) * (Volume Mult) and (close) < (open) 🍟 MACD 🟢 LONG  = (MACD) > (Signal Smoothing) 🔴 SHORT = (MACD) < (Signal Smoothing) 🧲 RSI 🟢 LONG  = (RSI) < (Upper) 🔴 SHORT = (RSI) > (Lower) 🧲 RSI 🟢 LONG  = (RSI) > (RSI_MA) 🔴 SHORT = (RSI) < (RSI_MA) 🅰️ ADX 🟢 LONG  = (+DI) > (-DI) and (ADX) > (Treshold) 🔴 SHORT = (+DI) < (-DI) and (ADX) > (Treshold) 🥊 SAR 🟢 LONG  = (close) > (SAR) 🔴 SHORT = (close) < (SAR) ☁️ Cloud 🟢 LONG  = (Cloud A) > (Cloud B) 🔴 SHORT = (Cloud A) < (Cloud B) ☁️ Cloud 🟢 LONG  = (Kama) > (Kama ) 🔴 SHORT = (Kama) < (Kama ) 🌡️ R/F 🟢 LONG  = (high) > (UP Range)      and (upward)     > (0) 🔴 SHORT = (low) < (DOWN Range) and (downward) > (0) 🌡️ R/F 🟢 LONG  = (high) > (UP Range) 🔴 SHORT = (low) < (DOWN Range) 📐 S/R 🟢 LONG  = (close) > (Resistance) 🔴 SHORT = (close) < (Support) ╭╯MA2️⃣ 🟢 LONG  = (Cyan Bar MA2️⃣) 🔴 SHORT = (Red Bar MA2️⃣) ╭╯MA2️⃣ 🟢 LONG  = (close) > (MA2️⃣) 🔴 SHORT = (close) < (MA2️⃣) ╭╯MA2️⃣ 🟢 LONG  = (Positive MA2️⃣) 🔴 SHORT = (Negative MA2️⃣) __________________________________________________________ 🎯 TP / SL 🛑 __________________________________________________________ 🎯 TP: 1.5 ％ 🛑 SL:  2.0 ％ __________________________________________________________ 🪄 UNIQUE FEATURES OF THIS STRATEGY ____________________________________ 1)   𝄜  Table Backtest for Mobile. 2)   𝄜  Table Backtest for Computer. 3)   𝄜  Table Backtest for Computer & Annual Performance. 4)   𝄜  Live Entry Conditions. 1)   𝄜  Table Backtest for Mobile. 2)   𝄜  Table Backtest for Computer. 3)   𝄜  Table Backtest for Computer & Annual Performance. 4)   𝄜  Live Entry Conditions. _____________________________ 𝄜  BACKTEST / PERFORMANCE 𝄜 _____________________________ • Net Profit: +634.47%, Maximum Drawdown: -18.44%. 🪙 PAIR / TIMEFRAME ⏳ 🪙 PAIR: BINANCE:BTCUSDT.P ⏳ TIME: 4 hours (240m) ✅ ON ☑️ OFF ✅ LONG ✅ SHORT 🎯 TP / SL 🛑 🎯 TP: 1.5 (％) 🛑 SL:  2.0 (％) ⚙️ CAPITAL MANAGEMENT 💸 Initial Capital: 10000 $ (TradingView) 💲 Order Size:      10 ％     (Of Equity) 🚀 Leverage:        10 x       (Exchange) 💩 Commission:    0.03 ％  (Exchange) 📆 BACKTEST 🗓️ Start: Setember 24, 2019 🗓️ End:   November 21, 2025 🗓️ Days:  2250 🗓️ Yers:   6.17 🗓️ Bars:  13502 📊 PERFORMANCE 💲 Net Profit:                 + 63446.89 $ 🟢 Net Profit:                 + 634.47 ％ 💲 DrawDown Maximum: - 10727.48 $ 🔴 DrawDown Maximum: - 18.44 ％ 🟢 Total Closed Trades:     1042 🟡 Percent Profitable:       63.92 ％ 🟡 Profit Factor:               1.247 💲 Avg Trade:                 + 60.89 $ ⏱️ Avg # Bars in Trades 🕯️ Avg # Bars: 4 ⏳ Avg # Hrs:  15 ✔️ Trades Winning: 666 ❌ Trades Losing:    376 ✔️ Maximum Consecutive Wins:   11 ❌ Maximum Consecutive Losses: 7 📺 Live Performance : br.tradingview.com • Use this strategy on the recommended pair and timeframe above to replicate the tested results. • Feel free to experiment and explore other settings, assets, and timeframes.
Pine Script® Strategie
von Titans_Invest
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.
Pine Script® Strategie
von DskyzInvestments
STRATEGY 1 │ Red Dragon │ Model 1 │ [Titans_Invest]The Red Dragon Model 1 is a fully automated trading strategy designed to operate BTC/USDT.P on the 4-hour chart with precision, stability, and consistency. It was built to deliver reliable behavior even during strong market movements, maintaining operational discipline and avoiding abrupt variations that could interfere with the trader’s decision-making. Its core is based on a professionally engineered logical structure that combines trend filters, confirmation criteria, and balanced risk management. Every component was designed to work in an integrated way, eliminating noise, avoiding unnecessary trades, and protecting capital in critical moments. There are no secret mechanisms or hidden logic: everything is built to be objective, clean, and efficient. Even though it is based on professional quantitative engineering, Red Dragon Model 1 remains extremely simple to operate. All logic is clearly displayed and fully accessible within TradingView itself, making it easy to understand for both beginners and experienced traders. The structure is organized so that any user can quickly view entry conditions, exit criteria, additional filters, adjustable parameters, and the full mechanics behind the strategy’s behavior. In addition, the architecture was built to minimize unnecessary complexity. Parameters are straightforward, intuitive, and operate in a balanced way without requiring deep adjustments or advanced knowledge. Traders have full freedom to analyze the strategy, understand the logic, and make personal adaptations if desired—always with total transparency inside TradingView. The strategy was also designed to deliver consistent operational behavior over the long term. Its confirmation criteria reduce impulsive trades; its filters isolate noise; and its overall logic prioritizes high-quality entries in structured market movements. The goal is to provide a stable, clear, and repeatable flow—essential characteristics for any medium-term quantitative approach. Combining clarity, professional structure, and ease of use, Red Dragon Model 1 offers a solid foundation both for users who want a ready-to-use automated strategy and for those looking to study quantitative models in greater depth. This entire project was built with extreme dedication, backed by more than 14,000 hours of hands-on experience in Pine Script, continuously refining patterns, techniques, and structures until reaching its current level of maturity. Every line of code reflects this long process of improvement, resulting in a strategy that unites professional engineering, transparency, accessibility, and reliable execution. 🔶 MAIN FEATURES • Fully automated and robust: Operates without manual intervention, ideal for traders seeking consistency and stability. It delivers reliable performance even in volatile markets thanks to the solid quantitative engineering behind the system. • Multiple layers of confirmation: Combines 10 key technical indicators with 15 adaptive filters to avoid false signals. It only triggers entries when all trend, market strength, and contextual criteria align. • Configurable and adaptable filters: Each of the 15 filters can be enabled, disabled, or adjusted by the user, allowing the creation of personalized statistical models for different assets and timeframes. This flexibility gives full freedom to optimize the strategy according to individual preferences. • Clear and accessible logic: All entry and exit conditions are explicitly shown within the TradingView parameters. The strategy has no hidden components—any user can quickly analyze and understand each part of the system. • Integrated exclusive tools: Includes complete backtest tables (desktop and mobile versions) with annualized statistics, along with real-time entry conditions displayed directly on the chart. These tools help monitor the strategy across devices and track performance and risk metrics. • No repaint: All signals are static and do not change after being plotted. This ensures the trader can trust every entry shown without worrying about indicators rewriting past values. 🔷 ENTRY CONDITIONS & RISK MANAGEMENT Red Dragon Model 1 triggers buy (long) or sell (short) signals only when all configured conditions are satisfied. For example: • Volume: • The system only trades when current volume exceeds the volume moving average multiplied by a user-defined factor, indicating meaningful market participation. • RSI: • Confirms bullish bias when RSI crosses above its moving average, and bearish bias when crossing below. • ADX: • Enters long when +DI is above –DI with ADX above a defined threshold, indicating directional strength to the upside (and the opposite conditions for shorts). • Other indicators (MACD, SAR, Ichimoku, Support/Resistance, etc.) Each one must confirm the expected direction before a final signal is allowed. When all bullish criteria are met simultaneously, the system enters Long; when all criteria indicate a bearish environment, the system enters Short. In addition, the strategy uses fixed Take Profit and Stop Loss targets for risk control: Currently: TP around 1.5% and SL around 2.0% per trade, ensuring consistent and transparent risk management on every position. ⚙️ INDICATORS __________________________________________________________   1) 🔊 Volume: Avoids trading on flat charts.   2) 🍟 MACD: Tracks momentum through moving averages.   3) 🧲 RSI: Indicates overbought or oversold conditions.   4) 🅰️ ADX: Measures trend strength and potential entry points.   5) 🥊 SAR: Identifies changes in price direction.   6) ☁️ Cloud: Accurately detects changes in market trends.   7) 🌡️ R/F: Improves trend visualization and helps avoid pitfalls.   8) 📐 S/R: Fixed support and resistance levels.   9)╭╯MA: Moving Averages. 10) 🔮 LR: Forecasting using Linear Regression. __________________________________________________________ 🟢 ENTRY CONDITIONS 🔴 __________________________________________________________ IF all conditions are 🟢 = 📈 Long IF all conditions are 🔴 = 📉 Short __________________________________________________________ 🚨 CURRENT TRIGGER SIGNAL 🚨 __________________________________________________________ 🔊 Volume 🟢 LONG  = (volume) > (MA_volume) * (Volume Mult) 🔴 SHORT = (volume) > (MA_volume) * (Volume Mult) 🧲 RSI 🟢 LONG  = (RSI) > (RSI_MA) 🔴 SHORT = (RSI) < (RSI_MA) 🟢 ALL ENTRY CONDITIONS AVAILABLE 🔴 __________________________________________________________ 🔊 Volume 🟢 LONG  = (volume) > (MA_volume) * (Volume Mult) 🔴 SHORT = (volume) > (MA_volume) * (Volume Mult) 🔊 Volume 🟢 LONG  = (volume) > (MA_volume) * (Volume Mult) and (close) > (open) 🔴 SHORT = (volume) > (MA_volume) * (Volume Mult) and (close) < (open) 🍟 MACD 🟢 LONG  = (MACD) > (Signal Smoothing) 🔴 SHORT = (MACD) < (Signal Smoothing) 🧲 RSI 🟢 LONG  = (RSI) < (Upper) 🔴 SHORT = (RSI) > (Lower) 🧲 RSI 🟢 LONG  = (RSI) > (RSI_MA) 🔴 SHORT = (RSI) < (RSI_MA) 🅰️ ADX 🟢 LONG  = (+DI) > (-DI) and (ADX) > (Treshold) 🔴 SHORT = (+DI) < (-DI) and (ADX) > (Treshold) 🥊 SAR 🟢 LONG  = (close) > (SAR) 🔴 SHORT = (close) < (SAR) ☁️ Cloud 🟢 LONG  = (Cloud A) > (Cloud B) 🔴 SHORT = (Cloud A) < (Cloud B) ☁️ Cloud 🟢 LONG  = (Kama) > (Kama ) 🔴 SHORT = (Kama) < (Kama ) 🌡️ R/F 🟢 LONG  = (high) > (UP Range)      and (upward)     > (0) 🔴 SHORT = (low) < (DOWN Range) and (downward) > (0) 🌡️ R/F 🟢 LONG  = (high) > (UP Range) 🔴 SHORT = (low) < (DOWN Range) 📐 S/R 🟢 LONG  = (close) > (Resistance) 🔴 SHORT = (close) < (Support) ╭╯MA2️⃣ 🟢 LONG  = (Cyan Bar MA2️⃣) 🔴 SHORT = (Red Bar MA2️⃣) ╭╯MA2️⃣ 🟢 LONG  = (close) > (MA2️⃣) 🔴 SHORT = (close) < (MA2️⃣) ╭╯MA2️⃣ 🟢 LONG  = (Positive MA2️⃣) 🔴 SHORT = (Negative MA2️⃣) __________________________________________________________ 🎯 TP / SL 🛑 __________________________________________________________ 🎯 TP: 1.5 ％ 🛑 SL:  2.0 ％ __________________________________________________________ 🪄 UNIQUE FEATURES OF THIS STRATEGY ____________________________________ 1)   𝄜  Table Backtest for Mobile. 2)   𝄜  Table Backtest for Computer. 3)   𝄜  Table Backtest for Computer & Annual Performance. 4)   𝄜  Live Entry Conditions. 1)   𝄜  Table Backtest for Mobile. 2)   𝄜  Table Backtest for Computer. 3)   𝄜  Table Backtest for Computer & Annual Performance. 4)   𝄜  Live Entry Conditions. _____________________________ 𝄜  BACKTEST / PERFORMANCE 𝄜 _____________________________ • Net Profit: +634.47%, Maximum Drawdown: -18.44%. 🪙 PAIR / TIMEFRAME ⏳ 🪙 PAIR: BINANCE:BTCUSDT.P ⏳ TIME: 4 hours (240m) ✅ ON ☑️ OFF ✅ LONG ✅ SHORT 🎯 TP / SL 🛑 🎯 TP: 1.5 (％) 🛑 SL:  2.0 (％) ⚙️ CAPITAL MANAGEMENT 💸 Initial Capital: 10000 $ (TradingView) 💲 Order Size:      10 ％     (Of Equity) 🚀 Leverage:        10 x       (Exchange) 💩 Commission:    0.03 ％  (Exchange) 📆 BACKTEST 🗓️ Start: Setember 24, 2019 🗓️ End:   November 21, 2025 🗓️ Days:  2250 🗓️ Yers:   6.17 🗓️ Bars:  13502 📊 PERFORMANCE 💲 Net Profit:                 + 63446.89 $ 🟢 Net Profit:                 + 634.47 ％ 💲 DrawDown Maximum: - 10727.48 $ 🔴 DrawDown Maximum: - 18.44 ％ 🟢 Total Closed Trades:     1042 🟡 Percent Profitable:       63.92 ％ 🟡 Profit Factor:               1.247 💲 Avg Trade:                 + 60.89 $ ⏱️ Avg # Bars in Trades 🕯️ Avg # Bars: 4 ⏳ Avg # Hrs:  15 ✔️ Trades Winning: 666 ❌ Trades Losing:    376 ✔️ Maximum Consecutive Wins:   11 ❌ Maximum Consecutive Losses: 7 📺 Live Performance : br.tradingview.com • Use this strategy on the recommended pair and timeframe above to replicate the tested results. • Feel free to experiment and explore other settings, assets, and timeframes.
Pine Script® Strategie
von Titans_Invest
MTF Scalper - alemicihanMulti-Timeframe Scalper Strategy: Aligning the Big Picture for Quick Gains This article presents a robust futures trading strategy designed for high-frequency scalping in the crypto market. It’s built on the principle of minimizing risk by ensuring that short-term entries are always aligned with the dominant, higher-timeframe trend. The Core Concept: Alignment is Key A Balanced Trend Follower approach, now refined for rapid scalping, uses a Multi-Timeframe (MTF) confirmation system to filter out market noise and increase the probability of a successful trade. The strategy operates on a Low Timeframe (LTF) chart (e.g., 3m, 5m, or 15m) but only executes trades if the direction is validated by three Higher Timeframes (HTF). ComponentPurposeFunctionHTF (D, 4h, 1h) EMA => Trend Confirmation =>Checks if the current price is above/below all three Exponential Moving Averages (EMA 20). This provides a strong directional bias. LTF (5m) Stochastic RSI => Momentum Entry => Generates the actual buy/sell signal by spotting a swift crossover, indicating fresh momentum in the direction of the confirmed HTF trend. How The Signal Is Generated Trend Alignment: The system first confirms the trend. If the price is trading above the Daily, 4-Hour, and 1-Hour EMAs, the market is deemed to be in a Strong LONG Trend. Only LONG signals are permitted. Momentum Trigger: Once the trend is confirmed, a Long Signal is generated only when the Stochastic K-Line crosses above the D-Line, indicating a momentum shift (a pullback ending) towards the main trend direction. Short Signal: The inverse logic applies to the Short Trend confirmation and entry signal. Mandatory Risk Management: ATR-Based Exit Given the high leverage nature of futures and scalping, static Stop-Loss (SL) and Take-Profit (TP) levels are inefficient. This strategy uses the Average True Range (ATR) indicator to dynamically set profit and loss targets based on current market volatility. Stop Loss (SL): Set dynamically at 1.5 x ATR below (for long) or above (for short) the entry price. This gives the trade enough room to breathe without risking excessive capital. Take Profit (TP): Set dynamically at 3.0 x ATR, establishing a robust Risk-to-Reward Ratio of 1:2. Final Thoughts on Testing This sophisticated approach combines the reliability of MTF analysis with the speed of momentum indicators. However, data analysis is key. Backtesting these parameters (EMA, ATR Multipliers, RSI/Stochastic lengths) on your chosen asset (like BTC/USDT or ETH/USDT) and timeframe is crucial to achieving optimal performance.
Pine Script® Strategie
von alemicihan