Commencez

Analyse de la tendance

Ichimoku + EMA + RSI [Enhanced]# **Ichimoku + EMA + RSI Strategy - User Instructions** --- ## **📋 TABLE OF CONTENTS** 1. (#installation) 2. (#strategy-overview) 3. (#parameter-configuration) 4. (#understanding-the-dashboard) 5. (#entry--exit-rules) 6. (#best-practices) 7. (#optimization-guide) 8. (#troubleshooting) --- ## **🚀 INSTALLATION** ### **Step 1: Add to TradingView** 1. Open TradingView.com 2. Click **Pine Editor** (bottom of screen) 3. Click **"New"** → Select **"Blank indicator"** 4. Delete all default code 5. **Copy and paste** the complete script 6. Click **"Save"** (give it a name: "Ichimoku EMA RSI Strategy") 7. Click **"Add to Chart"** ### **Step 2: Verify Installation** ✅ You should see: - Orange **200 EMA** line - Blue **Tenkan** line - Red **Kijun** line - Green/Red **Cloud** (Ichimoku cloud) - **Dashboard** in top-right corner - **Strategy Tester** tab at bottom --- ## **📊 STRATEGY OVERVIEW** ### **What This Strategy Does** Combines three powerful technical indicators to identify high-probability trades: | Component | Purpose | |-----------|---------| | **200 EMA** | Determines overall trend direction | | **Ichimoku Cloud** | Provides support/resistance and momentum | | **RSI** | Filters momentum strength | | **Dashboard** | Real-time signal analysis | ### **Trading Logic** - **LONG**: Enter when all bullish conditions align - **SHORT**: Enter when all bearish conditions align - **EXITS**: Automatic via trailing stops, cloud breach, or TK cross reversal --- ## **⚙️ PARAMETER CONFIGURATION** ### **🔵 Trend Filter Settings** ``` EMA Length: 200 (default) ``` - **Lower (100-150)**: More sensitive, faster signals - **Higher (250-300)**: More stable, slower signals - **Recommendation**: Keep at 200 for most timeframes --- ### **🟢 RSI Settings** ``` RSI Length: 14 (default) RSI Long Minimum: 55 RSI Short Maximum: 45 ``` **Adjustment Guide:** - **Aggressive** (more signals): Long=50, Short=50 - **Balanced** (default): Long=55, Short=45 - **Conservative** (fewer signals): Long=60, Short=40 --- ### **🟡 Ichimoku Settings** ``` Tenkan Period: 9 Kijun Period: 26 Senkou B Period: 52 Displacement: 26 ``` **Standard Configurations:** | Timeframe | Tenkan | Kijun | Senkou B | |-----------|--------|-------|----------| | **1H - 4H** | 9 | 26 | 52 | | **15m - 1H** | 7 | 22 | 44 | | **Daily** | 9 | 26 | 52 | **Filters:** - ✅ **Require Chikou Confirmation**: Adds extra validation (recommended) - ✅ **Require Cloud Position**: Price must be above/below cloud (recommended) --- ### **🔴 Risk Management** ``` ATR Length: 14 ATR Stop Loss Multiplier: 2.0 ATR Take Profit Multiplier: 3.0 Min Bars Between Trades: 3 ``` **Risk/Reward Profiles:** | Profile | SL Multiplier | TP Multiplier | Description | |---------|---------------|---------------|-------------| | **Conservative** | 2.5 | 4.0 | Wider stops, higher R:R | | **Balanced** | 2.0 | 3.0 | Default settings | | **Aggressive** | 1.5 | 2.5 | Tighter stops, faster exits | --- ### **🎨 Display Settings** ``` Show Dashboard: ON Show Entry Signals: ON ``` - **Dashboard**: Shows real-time analysis - **Entry Signals**: Green/Red arrows on chart --- ## **📈 UNDERSTANDING THE DASHBOARD** ### **Dashboard Components** ``` ┌─────────────────────┬──────────┐ │ Component │ Status │ ├─────────────────────┼──────────┤ │ EMA Trend │ BULL/BEAR│ │ Cloud │ ABOVE/BELOW/INSIDE│ │ TK Cross │ BULL/BEAR│ │ RSI │ 55.3 │ │ Chikou │ BULL/BEAR│ │ Signal │ STRONG LONG│ └─────────────────────┴──────────┘ ``` ### **Signal Interpretation** | Signal | Score | Meaning | Action | |--------|-------|---------|--------| | **STRONG LONG** | 7+ | All conditions aligned | High confidence LONG | | **LONG** | 4-6 | Most conditions met | Moderate confidence | | **NEUTRAL** | <4 | Mixed signals | Wait for clarity | | **SHORT** | 4-6 | Bearish bias | Moderate SHORT | | **STRONG SHORT** | 7+ | All bearish conditions | High confidence SHORT | --- ## **📍 ENTRY & EXIT RULES** ### **✅ LONG ENTRY CONDITIONS** All must be TRUE: 1. ✅ Price **above** 200 EMA 2. ✅ Price **above** Ichimoku Cloud 3. ✅ Tenkan **crosses above** Kijun (TK Bull Cross) 4. ✅ RSI **above** 55 5. ✅ Chikou **above** price 26 bars ago 6. ✅ Minimum bars since last trade met **Visual Confirmation:** - 🟢 Green triangle **below** candle - Dashboard shows **"STRONG LONG"** --- ### **❌ LONG EXIT CONDITIONS** Any ONE triggers exit: 1. ❌ Price closes **below** cloud bottom 2. ❌ Tenkan **crosses below** Kijun 3. ❌ ATR trailing stop hit (2.0 × ATR) 4. ❌ Take profit hit (3.0 × ATR) --- ### **✅ SHORT ENTRY CONDITIONS** All must be TRUE: 1. ✅ Price **below** 200 EMA 2. ✅ Price **below** Ichimoku Cloud 3. ✅ Tenkan **crosses below** Kijun (TK Bear Cross) 4. ✅ RSI **below** 45 5. ✅ Chikou **below** price 26 bars ago 6. ✅ Minimum bars since last trade met **Visual Confirmation:** - 🔴 Red triangle **above** candle - Dashboard shows **"STRONG SHORT"** --- ### **❌ SHORT EXIT CONDITIONS** Any ONE triggers exit: 1. ❌ Price closes **above** cloud top 2. ❌ Tenkan **crosses above** Kijun 3. ❌ ATR trailing stop hit (2.0 × ATR) 4. ❌ Take profit hit (3.0 × ATR) --- ## **💡 BEST PRACTICES** ### **Recommended Timeframes** | Timeframe | Trading Style | Signals/Week | |-----------|---------------|--------------| | **15m** | Scalping | 20-30 | | **1H** | Day Trading | 10-15 | | **4H** | Swing Trading | 5-10 | | **Daily** | Position Trading | 2-5 | --- ### **Asset Classes** ✅ **Best Performance:** - Major Forex pairs (EUR/USD, GBP/USD) - Crypto (BTC/USD, ETH/USD) - Major indices (SPX, NAS100) ⚠️ **Use Caution:** - Low liquidity pairs - Highly volatile altcoins - Stocks with gaps --- ### **Risk Management Rules** ``` 1. Never risk more than 2% per trade 2. Use the built-in ATR stops (don't override) 3. Respect the "Min Bars Between Trades" cooldown 4. Don't trade during major news events 5. Monitor dashboard - only trade STRONG signals ``` --- ## **🔧 OPTIMIZATION GUIDE** ### **Step 1: Run Initial Backtest** 1. Open **Strategy Tester** tab (bottom of screen) 2. Set date range (minimum 6 months) 3. Review: - **Net Profit** - **Win Rate** (target: >50%) - **Profit Factor** (target: >1.5) - **Max Drawdown** (target: <20%) --- ### **Step 2: Optimize Parameters** **If Win Rate is Low (<45%):** - Increase RSI thresholds (Long=60, Short=40) - Enable both Chikou + Cloud filters - Increase "Min Bars Between Trades" to 5 **If Too Few Signals:** - Decrease RSI thresholds (Long=50, Short=50) - Reduce EMA to 150 - Adjust Ichimoku to faster settings (7/22/44) **If Drawdown is High (>25%):** - Increase ATR Stop Loss Multiplier to 2.5 - Add longer cooldown period (5+ bars) - Trade only STRONG signals --- ### **Step 3: Forward Test** ``` 1. Paper trade for 2-4 weeks 2. Compare results to backtest 3. Adjust if live results differ significantly 4. Only go live after consistent paper trading success ``` --- ## **🛠️ TROUBLESHOOTING** ### **Problem: No Signals Appearing** **Solutions:** - Check RSI levels aren't too restrictive - Verify timeframe is appropriate (try 1H or 4H) - Ensure both filters aren't enabled on ranging markets - Review dashboard - components may be conflicting --- ### **Problem: Too Many Losing Trades** **Solutions:** - Enable **both** Chikou + Cloud filters - Increase RSI thresholds (more conservative) - Only trade when dashboard shows "STRONG" signals - Increase cooldown period to avoid overtrading --- ### **Problem: Dashboard Not Showing** **Solutions:** - Verify "Show Dashboard" is enabled in settings - Check chart isn't zoomed out too far - Refresh chart (F5) - Re-add indicator to chart --- ### **Problem: Stops Too Tight/Wide** **Solutions:** - **Too Tight**: Increase ATR Stop Loss Multiplier to 2.5-3.0 - **Too Wide**: Decrease to 1.5-1.8 - Verify ATR Length is appropriate for timeframe - Consider asset volatility (crypto needs wider stops) --- ## **📞 QUICK REFERENCE CARD** ``` ═══════════════════════════════════════════════════ STRATEGY QUICK REFERENCE ═══════════════════════════════════════════════════ BEST TIMEFRAMES: 1H, 4H, Daily BEST ASSETS: Major Forex, BTC, ETH, Indices RISK PER TRADE: 1-2% of capital LONG ENTRY: ✓ Price > 200 EMA ✓ Price > Cloud ✓ TK Bull Cross ✓ RSI > 55 ✓ Dashboard = STRONG LONG SHORT ENTRY: ✓ Price < 200 EMA ✓ Price < Cloud ✓ TK Bear Cross ✓ RSI < 45 ✓ Dashboard = STRONG SHORT EXITS: × Cloud breach × TK reverse cross × ATR trailing stop × Take profit (3:1 R:R) ═══════════════════════════════════════════════════ ``` --- ## **⚠️ DISCLAIMER** This strategy is for **educational purposes only**. Always: - Backtest thoroughly on your specific assets - Paper trade before going live - Never risk more than you can afford to lose - Past performance ≠ future results - Consider market conditions and your risk tolerance --- **Happy Trading! 📈** TradingView — Track All Markets Where the world charts, chats, and trades markets. We're a supercharged super-charting platform and social network for traders and investors. Free to sign up.
Stratégie Pine Script®
par D4V3YZ
Turtle System 1Turtle Trader system is a famous trend-following trading methodology created by Richard Dennis and his partner William Eckhardt in the early 1980s. The backstory is almost as interesting as the system itself: Dennis believed trading success was a skill that could be taught, while Eckhardt thought it was more about innate talent. To settle the debate, they recruited a group of ordinary people — with little to no trading experience — and trained them in a simple rules-based strategy. These students became known as the "Turtles". The system focused on trading breakouts in futures markets (commodities, currencies, bonds, stock indices) with strict risk management. System 1 (Short-Term) Entry: Buy when price breaks above the 20-day high. Sell short when price breaks below the 20-day low. Exit: Opposite 10-day breakout (i.e., sell long positions if price breaks below the 10-day low).
Stratégie Pine Script®
par KobeChan1
1
1H ETH Volume Breakout [ADX Filtered]Title: 1H ETH Volume Breakout w/ ADX Filter Description: 🚀 Strategy Overview This strategy is a high-precision Volatility Breakout system designed specifically for Ethereum (ETH) on the 1H timeframe. It focuses on catching explosive moves while aggressively filtering out market noise and "chop" to protect capital. Unlike standard breakout strategies that get wrecked in sideways markets, this script uses a multi-layer confirmation system (Volume + Trend + Momentum + ADX) to ensure high-probability entries. 🧠 The Logic (How it works) Keltner Channel Breakout: We use Keltner Channels (Length 22, Multiplier 2.0) instead of Bollinger Bands because they adapt better to ETH's unique volatility, reducing fake-outs. Volume Confirmation: A trade is only taken if the current volume spikes above the moving average. "No Volume = No Trade." Trend Filter (220 EMA): We only trade Long when price is above the 220 EMA, and Short when below. We trade with the dominant trend, never against it. The "Chop Killer" (ADX Filter): An added ADX filter ensures the trend has real strength before entering. If the market is flat (ADX < 20), the strategy sits on the sideline. 🛡️ Risk Management (The "Fee Crusher") Dynamic Stop Loss: Uses ATR (4.0) to give trades room to breathe without getting wicked out. Trailing Stop: Activates after a 3% gain to lock in profits during big pumps. Money Management: Includes a built-in Compounding feature (Optional). ⚙️ Recommended Settings Coin: ETH/USD or ETH/USDT Timeframe: 1 Hour (1H) Leverage: 2x (Recommended) Exchange Fees: Tuned for 0.1% fees. ⚠️ Disclaimer Past performance is not indicative of future results. Please backtest with your own exchange settings before using real capital. This is an open-source tool for educational purposes.
Stratégie Pine Script®
par debdaspt85
2
BULL Whale Finder + BTC 1hBULL Whale Finder + BTC 1h is a long-only strategy designed to capture strong impulsive moves in Bitcoin. It trades expansion (Whale) bars that appear in the direction of the trend, confirmed by the 200-period moving average on both 1H and 4H, with price holding above the 20-period moving average. Entries focus on impulsive moves that originate from structural zones, not late breakouts. Risk management is fully automated: ATR-based initial stop Automatic profit protection (Pay-Self) Adds and partial exits based on the expansion-bar sequence A protected runner managed with a trailing stop The user only sets the risk per trade (MLPT). All other parameters are hardcoded and locked to prevent over-optimization. 👉 Ready for backtesting, discretionary execution, or full automation.
Stratégie Pine Script®
par manueldelcura1
Professional Grid & Reversal Bot v10 (Binance Style)Professional Grid & Reversal Bot v10 (Binance Style) – Open Source & Educational About this Script: This script is an advanced Grid Trading & Smart Reversal strategy, inspired by professional Binance-style execution. It is designed as an educational, open-source tool for traders who want to understand market dynamics, grid logic, and risk management. How it Works: 1️⃣ Grid Execution: • Divides the price range between the high and low into multiple levels (Grids). • Opens Buy orders in the lower half and Sell orders in the upper half. • Levels are calculated dynamically based on the highest and lowest prices over a selected lookback period. 2️⃣ Smart Reversal System: • Detects price touches on the high or low range boundaries to identify potential reversal points. • Opens Buy orders at the lows and Sell orders at the highs using a configurable confirmation percentage (revPct). • Helps traders capture short-term price swings effectively. 3️⃣ Risk & Size Management: • Position sizing based on USD amount and leverage. • Automatic Take Profit (TP) and Stop Loss (SL) for every trade. • Controls overtrading via the "pyramiding" parameter (max open trades). 4️⃣ Advanced Visualization: • Plots the grid range with high/low levels and fills the background for clear context. • Highlights potential Supply and Demand Zones. • Displays a dynamic "Binance-style" Order Book table showing Side, Price, Quantity, and PnL. 5️⃣ Key Counters & Indicators: • levelsArr → Stores all grid levels for execution and plotting. • touchedHigh / touchedLow → Monitors range touches to trigger reversals. • strategy.openprofit → Displays live open trade PnL directly on the chart. Additional Features: • Supports both English and Arabic languages. • Dark Theme optimized for readability. • Dynamic control panel updates on every bar. • Flexible settings for Auto or Manual grid range updates. User Guidance: • This script is for educational purposes only; it does not guarantee profits. • We recommend adjusting Grid Levels, Reversal Percentage, and Trade Size to experiment with different strategies. Community Engagement: • Suggestions and improvements are welcome! 💡 • If you have ideas for new features, let's develop them together to enhance learning. • Please support the script with a Like & Boost if you find it useful. • Encourages knowledge sharing to improve collective performance. License: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) Free for educational use only. Please give credit to the author when sharing or modifying the script.
Stratégie Pine Script®
par nazaralgeze
ABCD Harmonic Pattern Strategy (Bull + Bear) This script is a strategy implementation of the classic ABCD Harmonic Pattern, designed for market structure analysis, backtesting, and educational research. The ABCD pattern is one of the foundational harmonic price patterns in technical analysis. Its Fibonacci ratio relationships were formalized and standardized within harmonic trading theory by Scott M. Carney, whose work helped define modern harmonic pattern rules. This strategy is conceptually inspired by educational ABCD pattern logic shared by the TradingView author theEccentricTrader. The code, structure, execution logic, filters, and risk management have been independently developed, reconstructed, and extended into a complete TradingView strategy. What this strategy does Detects bullish and bearish ABCD harmonic patterns based on price structure and Fibonacci ratios. Reconstructs ABCD market structure logic for both directions instead of using a simple visual inversion. Draws the ABCD legs, structure labels (A, B, C, D), and projection levels directly on the chart. Generates long and short trade entries using confirmed ABCD structures. Includes optional confluence filters, such as: Higher-timeframe EMA trend filter RSI strength filter ATR volatility filter Volume confirmation Candle body confirmation Minimum bounce distance from point D Provides built-in risk management, including: Configurable Stop Loss Configurable Take Profit Optional trailing stop Designed for backtesting, parameter optimization, and analytical research. Why this strategy is different This script is not a simple indicator conversion nor a basic bullish/bearish mirror. The ABCD pattern logic has been recreated at the structural level to better reflect how bullish and bearish market formations behave in real price action. Key differences Reconstructed bullish and bearish structures Bullish and bearish ABCD patterns are independently defined using market structure logic, not just inverted visually. Each direction has its own pivot relationships and validation rules to produce a more faithful representation of the ABCD pattern. Structure-aware pattern validation Pattern confirmation is based on price swings, structure continuity, and Fibonacci alignment, helping reduce distorted or forced patterns. Strategy-based execution Unlike indicator-only ABCD tools that only visualize patterns, this script uses strategy.entry and strategy.exit, enabling full backtesting and performance analysis. Confluence-driven entries Trade entries can require multiple confirmation layers beyond the pattern itself, helping reduce low-quality signals and overtrading. Integrated risk management Stop Loss, Take Profit, and optional trailing logic are applied consistently for both long and short positions. Non-repainting design Pattern detection and entries rely on confirmed bars (barstate.isconfirmed) and higher-timeframe data with lookahead_off, ensuring signals do not repaint historically. Improved and controlled visualization Pattern drawings, projections, and entry markers are managed with strict object limits to comply with TradingView performance and publishing requirements. How to use Add the strategy to a chart and select a symbol and timeframe. Enable or disable filters under “Entry Filters (Confluence)”. Configure Stop Loss, Take Profit, and trailing behavior under “TP/SL”. Use pattern drawings and entry markers as visual and analytical confirmation, not as standalone trade signals. Important notes This script is provided for educational and research purposes only. It does not provide financial or investment advice. No profitability or performance is implied or guaranteed. Past performance does not indicate future results. Always test across multiple markets and timeframes and apply proper risk management. Credits ABCD Harmonic Pattern: Harmonic trading principles as formalized by Scott M. Carney. Conceptual inspiration: Educational ABCD pattern logic shared by @theEccentricTrader on TradingView. Pattern reconstruction, strategy logic, and risk management: Independent development.
Stratégie Pine Script®
par TagsTrading
Multi KI Agenten Strategie (Final V2)What's included in the Pine Script (Technical Analysis) These features are mathematically implemented in the script and function as "agent logic": • Trend Following: Integrated via EMAs (50, 100, 200). • Volume Analysis: An agent checks for institutional volume spikes. • Supply & Demand: Zones are calculated based on price extremes. • RSI & Fibonacci: Both are built in as decision criteria for the agents. • Controlling AI: The "veto logic" in the code acts as a controlling instance, blocking signals if the risk is too high or divergences exist. • Alerts: The "LONG" and "SHORT" alerts are only triggered after approval by the controlling mechanism.
Stratégie Pine Script®
par NextMoveAI
BE-QuantFlow: Adaptive Momentum Trading█ Overview: QuantFlow: Adaptive Momentum Trading QuantFlow is a sophisticated algorithmic momentum trading method designed specifically for indices and high-beta stocks. However, its logic is universal; with appropriate parameter tuning, it adapts to various asset classes and timeframes. While the standard momentum indicators (like RSI or MACD) simply measure how fast price is moving (Velocity), QuantFlow analyzes the quality and conviction of the trend . Features like Dynamic Volatility Filtering and Trend Shielding, combined with volatility weighting and a "Dual-Line" approach to distinguish between a sustainable institutional trend and a temporary retail spike, make the indicator unique and more powerful. █ Why QuantFlow ? Quant (The Engine): This replaces subjective guessing with objective math. Instead of just seeing that the price is "up," we measure "how it got there". For example, a stock that rises 1 currency value every day for 10 days (smooth trend) gets a much higher score than a stock that jumps 10 currency value in one minute and does nothing else (erratic noise). This mathematical rigor provides the structure. █ Core Logic & Philosophy To understand how QuantFlow calculates momentum, imagine a "Tug-of-War" between Buyers (Bulls) and Sellers (Bears). Most indicators (like RSI) use a single line. If RSI is at 50, it means "Neutral." But "Neutral" can mean two very different things: Peace: Nothing is happening. No one is buying or selling. War: Buyers are pushing hard, but Sellers are pushing back equally hard. Volatility is massive. A single line hides this reality. QuantFlow splits the market into two separate scores: Bull Score (Green Line): How hard are the buyers pushing? Bear Score (Red Line): How hard are the sellers pushing? The Layman's Advantage: If both lines are low = Sleepy Market (Avoid). If Green is high and Red is low = Clean Uptrend (Buy). If Red is high and Green is low = Clean Downtrend (Sell). If both lines are high = Chaos/War Zone (Wait). █ How it Weight "Sustenance" (The Critical Quality Check) This is the most unique aspect of QuantFlow: Trend direction alone is not enough; Sustenance is weighed equally . Standard indicators treat every 10 currency value movements the same way with no distinction. However, QuantFlow asks, "Did you hold the ground you gained?" Scenario A (High Sustenance) : A stock opens at 100, marches to 110, and closes at 110. Verdict : Buyers pushed up and sustained the price. QuantFlow Weight : 100%. This is a high-quality move. Scenario B (Low Sustenance) : A stock opens at 100, spikes to 110, but gets sold off to close at 102. Verdict : Buyers pushed up (Trend is Up), but failed to sustain it (Long Wick). QuantFlow Weight : 20%. This is treated as "Noise" or a trap. By mathematically weighing the Close Location Value (where the candle closes relative to its high/low), QuantFlow filters out "Gap-and-Fade" traps and exhaustion spikes that fool traditional indicators. Comparisons: QuantFlow vs. The Rest Calculation Logic : Standard RSI/MACD measures simple price change over time. QuantFlow measures Price Change 'times (x)' Conviction (Sustenance Weighting). Visual Output : Standard tools show a single line (0-100), often hiding market conflict. QuantFlow displays Dual Lines (Bull vs Bear Intensity) to reveal the true state of the battle. Trap Handling : Standard indicators are often fooled by sharp spikes. QuantFlow ignores "Gap-and-Fade" moves with poor closing conviction. Adaptability : Standard tools use static levels (e.g., Overbought > 70). QuantFlow uses Dynamic Bands that adjust automatically to recent volatility. █ Dynamic Volatility Filtering Unlike standard indicators that use fixed levels (e.g., "Buy if RSI > 50"), QuantFlow acknowledges that "50" means something different in a quiet market versus a crashing market. This section explains the statistical engine driving the signals. The Problem with Static Levels : In a low-volatility environment, a momentum score of 55 might indicate a massive breakout. In a high-volatility environment, a score of 55 might just be random noise. A fixed threshold cannot handle both scenarios. The Solution: Adaptive Statistics : The script maintains a memory of the Momentum Events. It doesn't just look at price; it looks at where the momentum occurred in the past and draws a "Noise Zone" (Grey Band). This logic acts as a "Smart Gatekeeper" for trade entries: Scenario A: Inside the Noise (The Filter) If a new momentum signal happens inside the Noise Zone, the script assumes it is likely chop or noise. Action : It forces a wait period. The signal is delayed until the trend sustains itself for Confirm Bars; else the signal is cancelled. This filters out ~70% of false signals in sideways markets. Scenario B: Outside the Noise (The Breakout) If a new momentum signal happens outside the Noise Zone (or the momentum score smashes through the Upper Band), it is statistically significant (an outlier event). Action: It triggers an Immediate Entry. No waiting is required because the move is powerful enough to escape the historical noise zone. █ The ⚠️ "Warning" System (Heads-up for Smart Reversals) While you are directional if there is potential reversal signal, it provides the heads-up warning for a better decision-making █ Special Utility: Ghost Mode For intraday traders, the biggest disruption to "Flow" is the mandatory broker square-off at 3:15 PM (considering Indian Market). Often, a trend continues overnight, and the trader misses the gap-up opening the next morning because their algo was flat. Ghost Mode is a unique feature that runs silently in the background: At Square-off: The strategy closes your official position to satisfy the broker. In the Background: It keeps the trade "alive" virtually (Ghost). Next Morning: If the market opens in the trend's favor, the strategy re-enters the trade automatically. This approach ensures you capture the full swing of the trend, even if you are forced to exit at the previous session. █ Advice on this indicator: Parameter Calibration: The default settings are optimized for BankNifty on 5-minute charts. If you trade stocks, crypto, commodities, or any higher timeframes (e.g., 15-min or hourly), you must adjust these. Low Volatility Assets: Reduce Stop Multiplier to 2.0. High Volatility Assets: Increase Momentum Lookback to 50 to filter noise. Confluence (Additional Confirmation): While QuantFlow is a complete system, using it alongside Key Support/Resistance Levels or Volume Profile provides the highest probability setups.
Stratégie Pine Script®
par TradeWiseWithEase
2
ML-Inspired Adaptive Momentum Strategy (TradingView v6)This strategy demonstrates an adaptive momentum approach using volatility-normalized trend strength. It is designed for educational and analytical purposes and uses deterministic, fully transparent logic compatible with Pine Script v6. ML-Inspired Concept (Educational Context) Pine Script cannot train or execute real machine-learning models. Instead, this strategy demonstrates ML-style thinking by: Converting price data into features Normalizing features to account for volatility differences Producing a bounded confidence score Applying thresholds for decision making This is not predictive AI and does not claim forecasting capability. Strategy Logic EMA is used to measure directional bias EMA slope represents momentum change ATR normalizes the slope (feature scaling) A clamped score between −1 and +1 is generated Trades trigger only when the score exceeds defined thresholds Risk & Execution Position size capped at 5% equity Commission and slippage included for realistic testing Signals are calculated on closed bars only Purpose This script is intended to help traders explore adaptive momentum concepts and understand how feature normalization can be applied in systematic trading strategies.
Stratégie Pine Script®
par AIScripts
Supertrend + OBV AND Logic (long only)Supertrend + OBV Regime Filter (Long-Only) is a rule-based trend regime detection script that combines ATR-based Supertrend structure with volume-confirmed momentum using On-Balance Volume (OBV). The Supertrend (ATR 10, multiplier 3) defines the primary market regime and acts as the absolute authority for trend direction, while OBV—manually calculated for robustness and smoothed using EMA(20) with a signal EMA(20)—is used to confirm participation and momentum. A long signal is generated only on confirmed bar close when the Supertrend is bullish (price above the Supertrend line) and OBV momentum turns positive via an EMA crossover, enforcing strict AND-logic confirmation and preventing entries during low-volume or transitional phases. The strategy maintains a single long position per trend, with no pyramiding, averaging, or discretionary overrides. A full exit is triggered immediately when the Supertrend flips bearish, serving as a hard regime exit rather than a profit-target-based stop. Additionally, an OBV downside crossover generates a non-executable “Protect” signal (visual only), intended for risk-management actions such as reducing exposure or pausing position additions, particularly for grid or DCA implementations. This script is not designed as a grid, scalping, or buy-and-hold strategy; instead, it functions as a conservative trend and regime filter suitable for discretionary trading or as a signal layer to control automated long-bias execution systems. Forward testing and proper risk management are strongly recommended.
Stratégie Pine Script®
par blood_doc
Smart Trader,Episode 1, by Ata Sabanci | Unified Matrix⚠️ **CRITICAL: READ BEFORE USING** ⚠️ This strategy is **100% VOLUME-BASED** and requires **Lower Timeframe (LTF) intrabar data** for accurate calculations. Please understand the following limitations before using: **📊 DATA ACCURACY LEVELS:** • **1T (Tick)** — Most accurate, real volume distribution per tick • **1S (1 Second)** — Reasonably accurate approximation • **15S (15 Seconds)** — Good approximation, longer historical data available • **1M (1 Minute)** — Rough approximation, maximum historical data range **⚠️ BACKTEST & REPLAY LIMITATIONS:** • TradingView's Strategy Tester uses historical LTF data which may be limited depending on your subscription plan • Replay mode results may differ from live trading due to data availability • For longer backtest periods, use higher LTF settings (15S or 1M) • Not all symbols/exchanges support tick-level data • Crypto and Forex typically have better LTF data availability than stocks **💡 A NOTE ON TOOLS:** Successful trading requires proper tools. Higher TradingView plans provide access to more historical intrabar data, which directly impacts the accuracy of volume-based calculations. More precise volume data leads to more reliable signals. Consider this when evaluating your trading infrastructure. **WHY "EPISODE 1"?** This strategy is titled "Episode 1" because it focuses exclusively on **Highest Buyers (HB)** — a single but powerful concept in volume analysis. **The Philosophy:** A single high-volume buying event can tell us a story about market psychology: • Where did the biggest buyers enter? • How much of their power remains? • Are sellers consuming their advantage? • At what rate is the balance shifting? By focusing on just ONE aspect of volume analysis, traders can deeply understand how a buying surge affects future price action before moving to more complex multi-factor analysis. **The Reality:** This script alone is approximately **2000 lines of code** — and it only analyzes buyers. A comprehensive system covering all aspects (sellers, combined analysis, multi-timeframe correlation) would be significantly larger and computationally heavier. Breaking this into focused modules allows for: • Deeper understanding of each component • Lighter, more responsive scripts • Educational progression from simple to complex **OVERVIEW** Smart Trader EP1 is a volume-based trading strategy that tracks the balance of power between buyers and sellers through the lens of the **Highest Buyers event**. Unlike traditional indicators that rely on price patterns or mathematical formulas, this strategy analyzes *actual volume flow* to identify who is in control of the market. The core philosophy is simple: **markets move when one side (buyers or sellers) exhausts their power while the opposing side accumulates strength.** By measuring this power shift in real-time, the strategy identifies high-probability entry and exit points. **HOW IT WORKS** **1. Volume Engine** The strategy splits each candle's volume into buying volume and selling volume using intrabar data. In *Intrabar (Precise)* mode, it uses actual tick-by-tick or second-by-second data to calculate the exact buy/sell distribution. In *Geometry* mode, it approximates based on candle structure (close position within the range). **2. Event Detection** Within the lookback window, the strategy identifies key events: • **HB (Highest Buyers)** — The candle with maximum buying volume (potential resistance when exhausted) • **HS (Highest Sellers)** — The candle with maximum selling volume (potential support when exhausted) • **LB (Lowest Buyers)** — The candle with minimum buying volume (buyer absence) • **LS (Lowest Sellers)** — The candle with minimum selling volume (seller absence) These events create dynamic support and resistance levels based on actual volume, not arbitrary price levels. **3. Power Tracking (Attrition Model)** For the Highest Buyers event (HB), the strategy tracks: • **Start Power (X)** — The initial buying volume at the HB event • **Consumed Power (Y)** — How much selling volume has accumulated since the event • **Remaining Power (Z)** — Start Power minus Consumed Power (X - Y) • **Opponent Dominance** — When Remaining Power goes negative (Z < 0), sellers have overtaken buyers Think of it like a battle: buyers establish a position (HB), and sellers gradually consume their power. When buyers' power is exhausted (Remaining Power ≤ 0), sellers have taken control. **4. Depletion Markers** Visual markers appear on the chart when power reaches critical thresholds: • **🔋** — Buyers consumed 100% (Remaining = 0) • **🚨** — Buyers consumed 200% (Opponent Dominance = 100%) • **🪫** — Sellers consumed 100% • **⚠️** — Sellers consumed 200% **5. Cumulative Delta** Beyond tracking power at specific events, the strategy calculates the cumulative buy volume minus sell volume since the HB event. This shows the *net flow* of money: • **Positive Delta** — More buying than selling since HB (bullish pressure) • **Negative Delta** — More selling than buying since HB (bearish pressure) **6. Trend Channel** A 5-point linear regression channel identifies the current trend: • **UPTREND** — Both upper and lower channel lines slope upward • **DOWNTREND** — Both lines slope downward • **RANGING** — Mixed or flat slopes The strategy also tracks where the HB event occurred within this channel (TOP, UPPER, MIDDLE, LOWER, BOTTOM) to contextualize the signal. **7. Nearest Event Analysis** The strategy identifies which event is closest to the current candle and analyzes the price action *after* that event: • How many bullish vs bearish candles followed? • Does post-event momentum confirm or contradict the event type? This prevents false signals when, for example, a bearish event occurs but is immediately followed by strong bullish candles. **SIGNAL LOGIC** **🟢 LONG Signal Conditions:** • Uptrend with positive cumulative delta and buyers accumulating • At channel bottom/lower with strong buyer power remaining • After a bearish event (HS) with bullish post-event momentum (reversal signal) • Ranging market with positive delta and strong power **🔴 SHORT Signal Conditions:** • Downtrend with negative cumulative delta and sellers in control • Opponent Dominance (buyer power exhausted) with bearish momentum • Buyer Trap: HB at TOP in uptrend but power exhausted and delta negative • After a bullish event (HB) with bearish post-event momentum (trap signal) **⏳ NO_TRADE Conditions:** • Conflicting signals (e.g., bearish event but bullish post-momentum) • Ranging market without clear direction • Mixed power readings • Price position contradicts signal direction **STRATEGY EXECUTION** **Entry Rules:** • Enter LONG when signal is "LONG" and conditions are valid • Enter SHORT when signal is "SHORT" and conditions are valid • **Pyramid**: Up to 2 entries allowed in the same direction (configurable) • Each entry uses 10% of equity by default • Only one entry per confirmed candle (prevents multiple fills) **Stop Loss (Event Line Based):** • **LONG positions**: Stop Loss placed below the HS line (seller support level) • **SHORT positions**: Stop Loss placed above the HB line (buyer resistance level) • A small buffer percentage is added to prevent premature stops **Take Profit (Event Line Based):** • **LONG positions**: Take Profit near the HB line (buyer resistance target) • **SHORT positions**: Take Profit near the HS line (seller support target) • A small buffer percentage ensures realistic fill expectations **Exit Rules:** • Exit LONG when signal changes to SHORT • Exit SHORT when signal changes to LONG • **NO_TRADE signal = HOLD** (do not exit, wait for clear direction) • SL/TP orders remain active regardless of signal changes **SETTINGS GUIDE** **⚙️ General Settings:** • *Calculation Method* — Choose between Intrabar (Precise) or Geometry (approximation) • *Intrabar Resolution* — LTF for volume data (1T, 1S, 15S, 1M) • *Lookback Length* — Window for scanning events (10-150 bars) • *Timezone Offset* — Adjust clock display to your local time **📊 Matrix Display Settings:** • *Show Unified Matrix* — Toggle the information dashboard • *Show Event Lines* — Toggle horizontal lines at event prices • *Panel Size/Position* — Customize dashboard appearance • *Projection Bars* — Extend event lines into the future • *Depletion Threshold* — Percentage for depletion markers (default: 100%) **🏷️ Rank Labels Settings:** • *Show Rank Labels (HB/HS)* — Display labels on highest volume candles • *Show Low Labels (LB/LS)* — Display labels on lowest volume candles • *Ranks Count* — Number of rankings to display (1-5) **📐 Trend Channel Settings:** • *Show Trend Channel* — Toggle the 5-point regression channel • *Line Color/Fill/Width/Style* — Customize channel appearance **🎯 Trade Signal Settings:** • *Long: Min Remaining Power %* — Minimum buyer power for LONG signal (default: 50%) • *Short: Max Remaining Power %* — Maximum power for SHORT signal (default: 30%) • *Opponent Dominance Threshold* — When to consider power "exhausted" (default: 0%) • *Max Decay Angle* — Maximum consumption rate for valid entries (default: 60°) **📈 Strategy Execution Settings:** • *Enable Strategy* — Turn automatic trading on/off • *Allow LONG/SHORT* — Enable or disable specific directions • *Max Pyramid Entries* — Maximum entries in same direction (1-3) • *SL Buffer %* — Distance below/above event line for stop loss (default: 0.15%) • *TP Buffer %* — Distance from event line for take profit (default: 0.05%) **VISUAL ELEMENTS** **Chart Labels:** • **#1 HB** — Highest Buyers (rank label on candle high) • **#1 HS** — Highest Sellers (rank label on candle low) • **#1 LB** — Lowest Buyers (rank label on candle high) • **#1 LS** — Lowest Sellers (rank label on candle low) • **🔋 / 🚨** — Buyer power depletion markers • **🪫 / ⚠️** — Seller power depletion markers **Event Lines:** • **Blue horizontal lines** — HB price levels (buyer entry points) • **Red horizontal lines** — HS price levels (seller entry points) • **Cyan lines** — LB price levels • **Orange lines** — LS price levels • **Dashed extensions** — Projected levels into future bars **Trend Channel:** • **Orange lines** — Upper and lower channel boundaries (5-point regression) • **Orange fill** — Channel area (90% transparency) **Matrix Dashboard (6 rows):** • Row 1: Header with symbol, LTF setting, and local clock • Row 2: Volume snapshot (Total, Buy, Sell, Delta) • Row 3: Column headers • Row 4: Highest Buyers data (Age, Start Power, Consumed, Remaining, Decay, ETA) • Row 5: Highest Sellers data • Row 6: Signal Evaluation (Trend, Zone, Nearest Event, Signal, Reason) **Strategy Markers:** • **Green triangle up** — LONG entry • **Red triangle down** — SHORT entry • **Faded triangles** — Pyramid entries • **Colored lines** — SL (red) and TP (green) levels when in position **BEST PRACTICES** **For Maximum Accuracy:** 1. Use **1T (tick)** or **1S** intrabar resolution when available 2. Trade liquid markets with good volume data (crypto majors, forex majors, high-volume stocks) 3. Use smaller lookback length (20-30) to ensure all bars have valid LTF data 4. Monitor the "Intrabar Valid Bars" counter in the matrix header 5. If you see data warnings, reduce lookback or increase LTF resolution **For Longer Backtests:** 1. Use **15S or 1M** intrabar resolution for more historical data 2. Increase lookback length if needed 3. Understand that accuracy decreases with higher LTF settings 4. Consider using Geometry mode for very long backtests (approximation but always available) **Understanding the Signals:** • Pay attention to the signal *reasoning* shown in the matrix — it explains WHY • **NO_TRADE** means the system sees conflicting factors — respect this caution • Event lines act as dynamic S/R — they update as new volume events occur • Cumulative Delta (Δ) often provides early warning of trend changes **Risk Management:** • The default 10% per entry with max 2 pyramids = 20% maximum exposure • Event-line-based SL/TP provides logical levels based on actual volume events • Always verify signals with your own analysis before trading **INTERPRETING THE MATRIX** **Power Status Examples:** • *Remaining Power: 75%* — Buyers still have most of their strength • *Remaining Power: 25%* — Buyers nearly exhausted, watch for reversal • *Opponent Dominance: -50%* — Sellers have consumed 150% of buyer power (strong bearish) **Decay Angle:** • *Low angle (0-30°)* — Slow consumption, power lasting longer • *High angle (60-90°)* — Rapid consumption, expect quick exhaustion **ETA to Parity:** • Shows estimated bars until Remaining Power reaches zero • *"Overtaken"* with 🚨 means sellers have already dominated **LIMITATIONS & DISCLAIMER** **Technical Limitations:** • Requires sufficient historical LTF data (varies by TradingView plan and symbol) • Intrabar (Precise) mode may show invalid data warnings on symbols with limited history • Strategy tester may not have access to the same LTF data as live trading • Maximum 500 lines and 500 labels (TradingView platform limits) **Important Notes:** • This strategy focuses on **Highest Buyers only** — it does not analyze all market factors • Past performance does not guarantee future results • Volume data quality varies significantly between symbols and exchanges • The strategy's signals are analytical tools, not trading recommendations **Risk Disclaimer:** This strategy is provided for **educational and informational purposes only**. Trading involves substantial risk of loss and is not suitable for all investors. • Always use proper risk management • Never risk more than you can afford to lose • Backtest results may differ significantly from live trading • You are solely responsible for your trading decisions **TECHNICAL SPECIFICATIONS** • Pine Script Version: 6 • Calculation: calc_on_every_tick=true, use_bar_magnifier=true • Default Capital: 10,000 • Default Position Size: 10% of equity • Maximum Lines: 500 • Maximum Labels: 500 • External Library: TradingView/ta/10 (for requestUpAndDownVolume) *Smart Trader EP1 — Understanding Volume, One Event at a Time*
Stratégie Pine Script®
par ata_sabanci
6
[PickMyTrade] Trend strategy for LongThis strategy detects descending trend resistance using pivot-based trendlines and enters long positions when price confirms a breakout above a validated trendline. It is designed to capture bullish trend reversals with strict risk control and flexible exit management. The system focuses on structural market behavior rather than indicators, making it suitable for traders who prefer price-action-based decision making. USAGE This strategy automatically builds trendlines from confirmed pivot highs. A trendline is considered valid only when price has interacted with it a user-defined number of times, ensuring that trades are taken only from well-formed market structures. A trade is triggered when price closes above a validated descending trendline while optional session and position limits are respected. All risk and position sizing are calculated automatically based on the selected risk amount and stop-loss distance. HOW IT WORKS The strategy identifies swing highs using pivot logic and connects them into descending trendlines. Each trendline must meet a minimum number of touch confirmations before becoming eligible for trading. When price closes above a valid trendline, the strategy calculates: Stop-loss placement below the most recent pivot low Position size based on fixed monetary risk Profit targets based on the selected exit method EXIT METHODS Three exit models are supported: Risk–Reward Ratio Uses a fixed multiple of the defined risk distance to set the take-profit level. Lookback Candle Exit Exits trades when price shows structural reversal behavior based on recent candles. Fibonacci Targets Uses Fibonacci extensions derived from recent swing structure to trail profits dynamically. An optional trailing stop can also be enabled to protect open profits. FEATURES Automatic pivot-based trendline detection Multi-trendline or single-trendline operation Dynamic position sizing based on monetary risk Pivot-based stop-loss placement Multiple exit methodologies Optional trailing stop Optional trading session filter Fully visualized trendlines, stop levels, and profit targets SETTINGS Trend Detection Pivot Length for Trend Touch Number Validation Percentage Optional Pivot-to-Pivot Confirmation Risk Management Fixed Risk Amount Default Contract Size Option Stop-Loss Buffer Trailing Stop Toggle Take-Profit Exit Method Selection Risk-Reward Ratio Lookback Candle Length Fibonacci Extension Levels Session Filter Enable/Disable Session Trading Trading Session Time Window
Stratégie Pine Script®
par PickMyTrade_Official
%-to-Tick Trailing Stop & VisualizerPercent-to-Tick Trailing Stop (strategy.exit Framework + Visualizer) Overview This script focuses on exit management and visualization, not entry performance. The included MA crossover entry is intentionally simple and replaceable. Core idea (Percent → Tick conversion) strategy.exit() trailing parameters are tick-based (trail_points, trail_offset, and loss). This script lets you input distances in percent (%) and converts them into integer ticks using syminfo.mintick, making the same exit logic portable across most tick-based symbols/exchanges with different tick sizes. //==What it provides==// 1. % → tick conversion for: - Fixed stop loss (loss) - Trailing activation distance (trail_points) - Trailing offset distance (trail_offset) 2. On-chart visualization: - Entry average price - Trailing activation threshold - Fixed stop-loss line - Trailing stop line (with an exit-bar alignment attempt to reduce gaps) //==How to use==// 1. Keep the included MA crossover entries, or replace them with your own entries. 2. Configure: - Fixed Stop Loss % (loss_pct) - Trailing Activation % (t_points_pct) - Trailing Offset % (t_offset_pct) 3. Adjust commission/slippage defaults to match your market. //==Important limitations (must read)==// - calc_on_every_tick=true recalculates on realtime bars only; historical bars are evaluated differently. Backtests can differ from realtime behavior and may change after reload. - Tick rounding: percent distances are rounded to integer ticks, so small differences can occur depending on tick size and price level. - For more realistic intrabar backtesting, consider enabling Bar Magnifier in Strategy Properties (if available). # Average Entry Price (Basis): "Calculations are based on the position's average entry price (strategy.position_avg_price)." # Pine Script v6: "Written in the latest Pine Script v6." 요약 이 스크립트의 핵심은 “진입 전략”이 아니라 **strategy.exit()의 tick 기반 트레일링 파라미터를 % 입력으로 일반화(%→ticks 변환)**하여, 다양한 심볼/거래소의 서로 다른 tick size 환경에서도 동일한 exit 로직을 재사용할 수 있게 만든 “청산 프레임워크”입니다. 또한 calc_on_every_tick=true 환경에서 트리거/손절/트레일 라인을 실시간에 가깝게 시각화하는 데 중점을 두었습니다. 단, calc_on_every_tick은 실시간 바에서만 틱 단위 재계산이 적용되며, 히스토리 바/백테스트는 평가 방식이 달라 결과가 다를 수 있습니다.
Stratégie Pine Script®
par surirang
SMAcross-mvrOverview SMAcross-mvrNew is a flexible, non-repainting moving-average strategy designed for clarity, configurability, and reliable backtesting. It supports multiple entry styles, optional layered exits, and full-capital position sizing, while remaining stable during chart zooming and dragging. 🚀 What’s New in v2 ✅ Multiple Entry Modes You can now choose how trades are entered: Entry Mode A: Short SMA crosses Long SMA Entry Mode B: Price crosses Long SMA This allows both classic MA-crossover trading and trend-continuation pullback entries using the same strategy. ✅ Modular Exit System (Checkbox-Based) Exit logic is now fully modular using independent checkboxes: ☑ Exit on opposite signal ☑ Exit when price closes beyond Short SMA You may enable one, both, or neither. If both are enabled, the strategy exits on whichever condition occurs first. ✅ Terminology Clarity All labels, inputs, and alerts now use semantic naming: Short SMA (formerly 13 SMA) Long SMA (formerly 30 SMA) This makes the strategy easier to understand and future-proof if SMA lengths are changed. ✅ Full-Capital Position Sizing Each trade uses 100% of available equity, allowing performance to naturally compound over time during backtests. ✅ Optional Visual Enhancements Optional cross price labels (can be toggled on/off) Color-filled zone between Short and Long SMAs for quick trend recognition Optional 200 SMA (off by default) for higher-timeframe context ✅ Alert-Ready (TV-Safe) All alerts use static messages compatible with TradingView’s alert system, making the strategy suitable for: Manual trade notifications Webhook-based automation Broker integrations 🔒 Design Principles No repainting No line continuations (TradingView-safe formatting) Stable behavior when zooming or scrolling Clear separation of entry logic, exit logic, and visuals ⚠️ Notes This script is intended for educational and research purposes. Always forward-test and apply proper risk management before live trading.
Stratégie Pine Script®
par vmedaram1
6
Seasonal Strategies V1Seasonal Strategies V1 is a rule-based futures seasonality framework built around predefined calendar windows per asset. The strategy automatically detects the current symbol and activates long or short trading phases strictly based on historically observed seasonal tendencies. All entries and exits are fully time-based — no indicators, no predictions, no discretionary input. Key Features Asset-specific seasonal windows (MMDD-based) Automatic long and short activation Fully time-based entries and exits One position at a time (no pyramiding) Clean chart visualization using subtle background shading No indicators, no filters, no curve fitting Philosophy: This strategy is designed as a structural trading tool, not a forecasting model. It focuses on when a market historically shows seasonal tendencies — not why or how far price might move. Seasonal Strategies V1 intentionally keeps the chart clean and minimal, making it suitable as a baseline framework for research, portfolio-style seasonal approaches, or further extensions in later versions. Intended Use: Futures and commodity markets Seasonality research and testing Systematic, calendar-driven strategies Educational and analytical purposes Disclaimer This script is provided for educational and research purposes only. Past seasonal tendencies do not guarantee future performance. Risk management, position sizing, and portfolio decisions are the responsibility of the user.
Stratégie Pine Script®
par DerAndi72
EMA and Dow Theory Strategies V2 DOGE Current Optimum Value 📘 Overview These are the current optimal values for DOGE. They are intended for use on the 2‑hour timeframe. This script requires complex configuration, but there is an optimal set of values somewhere. Here, I’m sharing the settings that I personally use at the moment. Turning Take Profit off can lead to higher profits, but it also increases risks such as a lower win rate. With Take Profit on, you can adjust the settings by increasing the values. I have been trading using Dow Theory for many years. Trading with Dow Theory and EMA has been my main strategy. Although it has been profitable, I have long struggled with its low win rate. The issue lies in the immaturity of the exit strategy, and I’m currently experimenting to see if I can solve that. In V2, I added three take‑profit lines, securing 30% of the profit at each level to ensure a minimum level of gain. Additionally, when the trend weakens, half of the position is closed. In all scenarios, the remaining position is held until the trend reverses. The system provides precise entries, adaptive exits, and highly visual guidance that helps traders understand trend structure at a glance. 🧠 Key Features 🔹 1. Dual‑EMA Trend Logic (Symbol + External Index) Both the chart symbol and an external index (OTHERS.D) are evaluated using fast/slow EMAs to determine correlation‑based trend bias. 🔹 2. Dow Theory Swing Detection (Real‑time) The script identifies swing highs/lows and updates trend direction when price breaks them. This creates a structural trend model that reacts faster than EMAs alone. 🔹 3. Gradient Trend Zones (Visual Trend Strength) When trend is up or down, the area between price and the latest swing level is filled with a multi‑step gradient. This makes trend strength and distance-to-structure visually intuitive. 🔹 4. Higher‑Timeframe Swing Trend (htfTrend) Swing highs/lows from a higher timeframe (e.g., 4H) are plotted to show macro structure. Used only for visual context, not for filtering entries. 🔹 5. RSI‑Based Entry Protection RSI prevents entries during extreme overbought/oversold conditions. 🔹 6. Dynamic Exit System Includes: Custom stop‑loss (%) Partial take‑profit (TP1/TP2/TP3) Automatic scale‑out when trend color weakens “Color‑change lockout” to prevent immediate re‑entry Real‑time PnL tracking and labels 🔹 7. Alerts for All Key Events Entry, stop‑loss, partial exits, and trend‑change exits all generate structured JSON alerts. 🔹 8. Visual PnL Labels & Equity Tracking PnL for the latest trade is displayed directly on the chart, including scale‑out adjustments. ⚙️ Input Parameters Parameter Description Fast EMA / Slow EMA EMAs used for symbol trend detection Index Fast / Slow EMA EMAs applied to external index StopLoss (%) Custom stop‑loss threshold Scale‑Out % Portion to exit when trend color weakens RSI Period / Levels Overbought/oversold filters Swing Detection Length Bars used to detect swing highs/lows Stats Display Position of statistics table 🧭 About htfTrend (Higher Timeframe Trend) The higher‑timeframe swing trend is displayed visually but not used for entry logic. Why? Strict HTF filtering reduces trade frequency and often removes profitable setups. By keeping it visual‑only, traders retain flexibility while still benefiting from macro structure awareness. Use it as a contextual guide, not a constraint. 📘 概要 DOGEの現在の最適値です。 2時間足での使用を想定しています。 このスクリプトは複雑な設定が必要ですが、どこかに最適値が存在します。 今回は現在私が個人的に使っている設定値の公開です。 Take ProfitをOFFにするとさらなる利益が望めますが、勝率が下がるなどのリスクが上がります。 ONにした状態で数値を上げることによって調整することが可能です。 私はダウ理論を使ったトレードを長年続けてきました。 ダウ理論とEMAを使ったトレードが私の主力です。 しかし利益は出るものの、長年その勝率の低さに悩んでいました。 問題は出口戦略が未熟なためで、現在はそれらの解決ができないかと試行錯誤を続けています。 V2では3本の利益確定ラインを引き、それぞれ30%ずつ利益を確定し、最低限の利益がでるようにしました。 それ以外にはトレンドが弱まったタイミングで半分の利益確定をし、どのパターンでも残ったポジションはトレンド転換まで持ち続けます。 🧠 主な機能 🔹 1. 銘柄＋外部インデックスの EMA クロス判定 対象銘柄と OTHERS.D の EMA を比較し、相関を考慮したトレンド方向を判定します。 🔹 2. ダウ理論に基づくスイング高値・安値の自動検出 スイング更新によりトレンド方向を切り替える、構造ベースのトレンド判定を採用。 🔹 3. グラデーション背景によるトレンド強度の可視化 スイングラインから現在価格までを段階的に塗り分け、 「どれだけトレンドが伸びているか」を直感的に把握できます。 🔹 4. 上位足スイングトレンド（htfTrend）の表示 4H などの上位足でのスイング高値・安値を表示し、 大局的なトレンド構造を視覚的に把握できます（ロジックには未使用）。 🔹 5. RSI による過熱・売られすぎフィルター 極端な RSI 状態でのエントリーを防止。 🔹 6. 動的イグジットシステム カスタム損切り（％） TP1/TP2/TP3 の段階的利確 トレンド色の弱まりによる自動スケールアウト 色変化後の再エントリー制限（waitForColorChange） リアルタイム PnL の追跡とラベル表示 🔹 7. アラート完備（JSON 形式） エントリー、損切り、部分利確、トレンド反転などすべてに対応。 🔹 8. 損益ラベル・統計表示 直近トレードの損益をチャート上に表示し、視覚的に把握できます。 ⚙️ 設定項目 設定項目名 説明 Fast / Slow EMA 銘柄の EMA 設定 Index Fast / Slow EMA 外部インデックスの EMA 設定 損切り（％） カスタム損切りライン 部分利確割合 トレンド弱化時のスケールアウト割合 RSI 期間・水準 過熱/売られすぎフィルター スイング検出期間 スイング高値・安値の検出に使用 統計表示位置 テーブルの表示位置 🧭 上位足トレンド（htfTrend）について 上位足スイングの更新に基づくトレンド判定を表示しますが、 エントリー条件には使用していません。 理由： 上位足を厳密にロジックへ組み込むと、トレード機会が大幅に減るためです。 本ストラテジーでは、 「大局の把握は視覚で、エントリーは柔軟に」 という設計思想を採用しています。 → 裁量で利確判断や逆張り回避に活用できます。
Stratégie Pine Script®
par mm_mitsuya
3