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QZ Trend (Crypto Edition) v1.1a: Donchian, EMA, ATR, Liquidity/FThe "QZ Trend (Crypto Edition)" is a rules-based trend-following breakout strategy for crypto spot or perpetual contracts, focusing on following trends, prioritizing risk control, seeking small losses and big wins, and trading only when advantageous. Key mechanisms include: - Market filters: Screen favorable conditions via ADX (trend strength), dollar volume (liquidity), funding fee windows, session/weekend restrictions, and spot-long-only settings. - Signals & entries: Based on price position relative to EMA and EMA trends, combined with breaking Donchian channel extremes (with ATR ratio confirmation), plus single-position rules and post-exit cooldowns. - Position sizing: Calculate positions by fixed risk percentage; initial stop-loss is ATR-based, complying with exchange min/max lot requirements. - Exits & risk management: Include initial stop-loss, trailing stop (tightens only), break-even rule (stop moves to entry when target floating profit is hit), time-based exit, and post-exit cooldowns. - Pyramiding: Add positions only when profitable with favorable momentum, requiring ATR-based spacing; add size is a fraction of the base position, with layers sharing stop logic but having unique order IDs. Charts display EMA, Donchian channels, current stop lines, and highlight low ADX, avoidable funding windows, and low-liquidity periods. Recommend starting with 4H or 1D timeframes, with typical parameters varying by cycle. Liquidity settings differ by token; perpetuals should enable funding window filters, while spot requires "long-only" and matching fees. The strategy performs well in trends with quick stop-losses but faces whipsaws in ranges (filters mitigate but don’t eliminate noise). Share your symbol and timeframe for tailored parameters.
Stratégie Pine Script®
par bitcoinwolf1130
Hilly's Reversal Scalping Strategy - 5 Min CandlesHow to Use Copy the Code: Copy the script above. Paste in TradingView: Open TradingView, go to the Pine Editor (bottom of the chart), paste the code, and click “Add to Chart.” Set Timeframe: Ensure the chart is set to 5-minute candles (TradingView: right-click chart > Timeframe > 5 Minutes). Check for Errors: Verify no errors appear in the Pine Editor console. Apply to Chart: Use a liquid crypto pair (e.g., BTC/USDT, ETH/USDT on Binance or Coinbase). Verify Signals: Green “BUY” labels and triangle-up arrows for bullish reversals (e.g., bullish engulfing, hammer, doji, morning star, three white soldiers, double bottom in a downtrend). Red “SELL” labels and triangle-down arrows for bearish reversals (e.g., bearish engulfing, shooting star, doji, evening star, three black crows, double top in an uptrend). Green/red background highlights for signal candles. Backtest: Use TradingView’s Strategy Tester to evaluate performance over 1–3 months, checking Net Profit, Win Rate, and Drawdown. Demo Test: Run on a demo account to confirm signal visibility and performance before trading with real funds. Troubleshooting If Errors Occur: If any errors appear in TradingView’s Pine Editor console (e.g., “Syntax error” or “Invalid argument”), please share the exact error messages to diagnose environment-specific issues. Signal Overload: If too many signals appear, increase patternLookback to 15 or set volFilter = volume > volMa * 2.0. Missed Signals: If signals are too rare, set useVolumeFilter=false or reduce patternLookback to 5. Additional Features: If you need alerts, other indicators (e.g., EMA, RSI), or dynamic arrow sizing, please specify. Note that dynamic sizing caused errors previously, so I’ve kept size=size.normal.
Stratégie Pine Script®
par Hilly1976
Hilly 3.0 Advanced Crypto Scalping Strategy - 1 & 5 Min ChartsHow to Use Copy the Code: Copy the script above. Paste in TradingView: Open TradingView, go to the Pine Editor (bottom of the chart), paste the code, and click “Add to Chart.” Check for Errors: Verify no errors appear in the Pine Editor console. The script uses Pine Script v5 (@version=5). Select Timeframe: 1-Minute Chart: Use defaults (emaFastLen=7, emaSlowLen=14, rsiLen=10, rsiOverbought=80, rsiOversold=20, slPerc=0.5, tpPerc=1.0, useCandlePatterns=false, patternLookback=10). 5-Minute Chart: Adjust to emaFastLen=9, emaSlowLen=21, rsiLen=14, rsiOverbought=75, rsiOversold=25, slPerc=0.8, tpPerc=1.5, useCandlePatterns=true, patternLookback=10. Apply to Chart: Use a liquid crypto pair (e.g., BTC/USDT, ETH/USDT on Binance or Coinbase). Verify Signals: Green “BUY” or “EMA BUY” labels and triangle-up arrows below candles for bullish signals (EMA crossovers, bullish engulfing, hammer, doji, morning star, three white soldiers, double bottom). Red “SELL” or “EMA SELL” labels and triangle-down arrows above candles for bearish signals (EMA crossovers, bearish engulfing, shooting star, doji, evening star, three black crows, double top). Green/red background highlights for signal candles. Backtest: Use TradingView’s Strategy Tester to evaluate performance over 1–3 months, checking Net Profit, Win Rate, and Drawdown. Demo Test: Run on a demo account to confirm signal visibility and performance before trading with real funds.
Stratégie Pine Script®
par Hilly1976
RedFlagCounter-trend strategy Condition to open a long position: Buys if the price drops by a specified percentage from the previous candle’s close. Only one purchase can be made within a single candle. Condition to close a position: Places a separate individual closing limit order for each purchase, or uses one common take-profit order for the whole position. ⚠️ Attention : Stop-loss is not implemented in the current first version of the strategy. Options description: Drop_percent , % — Percentage drop in price from the From point From — The reference point on the closed candle from which the Drop_percent is calculated (Open, Close, High, Low) Tp , % — Take-profit level as a percentage Count — Number of allowed additional purchases (scaling in) Each_tp — Mode switch: True — a separate take-profit is placed for each purchase False — one common take-profit is placed based on the average entry price of the position
Stratégie Pine Script®
par hamster-bot
2
Continuous Accumulation Strategy [DCA] v9🇬🇧 English: Continuous Accumulation Strategy v9.4 This script is a full-featured strategy designed to backtest the "Buy the Dip" or "Dollar Cost Averaging" (DCA) philosophy. Its core feature is the Dynamic Peak Detection logic, which solves the "lock-in" problem of previous versions. Instead of getting stuck on an old high, the strategy constantly adapts to the market by referencing the most recent peak. Key Features * Dynamic Peak Detection: You define the "Peak Lookback Period." For example, on a Daily chart, setting it to `5` references the peak of the last business week. * Stable Order Management: The strategy consistently uses a fixed cash amount (e.g., $100) for each entry, which prevents any runtime errors related to negative equity. * Publishing-Ready: To meet TradingView's requirement for a backtest report, this strategy executes a symbolic, one-time "dummy trade" (one buy and one sell) at the very beginning of the test period. This first trade should be ignored when analyzing performance , as its only purpose is to enable publication. How It Works The main logic follows an adaptive cycle: Find Dynamic Peak -> Wait for a Drop -> Buy on Crossover -> Repeat. 1. Finds the Dynamic Peak: On every bar, it identifies the highest price within your defined lookback period. 2. Calculates the Drop: It constantly calculates the percentage drop from this moving peak. 3. Executes an Entry: The moment the price crosses below a target drop percentage, it executes a buy order. 4. Continuously Adapts: As the price moves, the dynamic peak is constantly updated, meaning the strategy never gets locked and is always ready for the next opportunity. How to Use This Strategy * Focus on the Strategy Tester: After adding it to the chart, analyze the Equity Curve, Net Profit, and Max Drawdown to see how this accumulation philosophy would have performed on your favorite asset. * Optimize Parameters: Adjust the "Peak Lookback Period" and "Drop Percentages" to fit the volatility of the asset you are testing. This is a tool for testing and analyzing a "buy and accumulate" philosophy. Its main logic does not generate sell signals.
Stratégie Pine Script®
par bbbirkan
1
3-Level DCA Buy Strategy🎯 3-Level DCA Buy Strategy - Smart Dollar Cost Averaging Professional DCA strategy that systematically accumulates positions during market dips. Enhanced with daily trend analysis for intelligent accumulation. 🚀 Key Features - 3-Level Buying System: Automatic purchases at 5%, 10%, 15% drops from cycle highs - Daily Trend Analysis: 1-day timeframe trend confirmation - Smart Peak Detection: 100-period lookback for meaningful peaks - Volume Filter: Optional volume confirmation system - USD-Based Positions: Fixed dollar amounts per level - Never Sells: Pure accumulation philosophy (buy-only) 📊 How It Works 1. Peak Identification: Detects highest price in last 100 periods 2. Daily Trend Check: Confirms price above 50 SMA on 1D timeframe 3. Drop Tracking: Calculates percentage drops from cycle high 4. Systematic Buying: Executes predetermined amounts at each level 5. Cycle Reset: Renews buy permissions when new peaks form ⚙️ Default Settings - Buy Levels: 5%, 10%, 15% drops - Position Sizes: $100, $150, $200 - Peak Period: 100 bars - Higher Timeframe: 1 Day (1D) - Pyramiding: 500 order capacity 🎨 Visual Elements - Orange Circles: Mark cycle highs - Colored Lines: Green/Blue/Red buy levels - Triangle Signals: Buy point indicators - Live Panel: Real-time statistics - Background Colors: Trend and drop level indicators 🔔 Alert System - Instant notifications for each buy level - New peak detection alerts - Major drop warnings (>20%) - Daily trend change notifications 💡 Ideal Use Cases - Crypto Accumulation: Bitcoin, Ethereum and major altcoins - Stock DCA: Long-term portfolio building - Volatile Markets: Capitalizing on price fluctuations - Emotional Trading Prevention: Automated and disciplined buying 📈 Strategy Logic This strategy follows the "buy the dip" philosophy. It waits during market rises and systematically builds positions during declines. Only buys when daily trend is bullish, providing protection during major bear markets. ⚠️ Important Notes - Buy-only strategy - never sells positions - Requires sufficient capital for multiple entries - Most effective in trending and volatile markets - Always backtest before live trading - Risk management is your responsibility 🛠️ Customization Options All parameters are fully customizable: drop percentages, position amounts, timeframes, visual elements and more. Suitable for both beginner and experienced investors. 🎯 Publishing Feature Note: Strategy includes temporary 1-day sell cycle for TradingView publishing requirements. This feature can be disabled for normal DCA mode operation. ⭐ If you find this strategy helpful, please like and follow! Visit the profile for more trading tools.
Stratégie Pine Script®
par bbbirkan
1
Tristan's Box: Pre-Market Range Breakout + RetestMarket Context: This is designed for U.S. stocks, focusing on pre-market price action (4:00–9:30 AM ET) to identify key support/resistance levels before the regular session opens. Built for 1 min and 5 min timelines, and is intended for day trading / scalping. Core Idea: Pre-market range (high/low) often acts as a magnet for price during regular hours. The first breakout outside this range signals potential strong momentum in that direction. Retest of the breakout level confirms whether the breakout is valid, avoiding false moves. Step-by-Step Logic: Pre-Market Range Identification: Track high and low from 4:00–9:30 AM ET. Draw a box spanning this range for visual reference and calculation. Breakout Detection: When the first candle closes above the pre-market high → long breakout. When the first candle closes below the pre-market low → short breakout. The first breakout candle is highlighted with a “YOLO” label for visual confirmation. Retest Confirmation: Identify the first candle whose wick touches the pre-market box (high touches top for short, low touches bottom for long). Wait for the next candle: if it closes outside the box, it confirms the breakout. Entry Execution: Long entry: on the confirming candle after a wick-touch above the pre-market high. Short entry: on the confirming candle after a wick-touch below the pre-market low. Only the first valid entry per direction per day is taken. Visuals & Alerts: Box represents pre-market high/low. Top/bottom box border lines show the pre-market high / low levels cleanly. BUY/SELL markers are pinned to the confirming candle. Added a "YOLO" marker on breakout candle. Alert conditions trigger when a breakout is confirmed by the retest. Strategy Type: Momentum breakout strategy with confirmation retest. Combines pre-market structure and risk-managed entries. Designed to filter false breakouts by requiring confirmation on the candle after the wick-touch. In short, it’s a pre-market breakout momentum strategy: it uses the pre-market high/low as reference, waits for a breakout, and then enters only after a confirmation retest, reducing the chance of entering on a false spike. Always use good risk management.
Stratégie Pine Script®
par OhRayOhRay
Penguin Volatility State StrategyThe Penguin Volatility State Strategy is a comprehensive technical analysis framework designed to identify the underlying "state" or "regime" of the market. Instead of just providing simple buy or sell signals, its primary goal is to classify the market into one of four distinct states by combining trend, momentum, and volatility analysis. The core idea is to trade only when these three elements align, focusing on periods of volatility expansion (a "squeeze breakout") that occur in the direction of a confirmed trend and are supported by strong momentum. Key Components The strategy is built upon two main engines The Volatility Engine (Bollinger Bands vs. Keltner Channels) This engine detects periods of rapidly increasing volatility. It measures the percentage difference (diff) between the upper bands of Bollinger Bands (which are based on standard deviation) and Keltner Channels (based on Average True Range). During a volatility "squeeze," both bands are close. When price breaks out, the Bollinger Band expands much faster than the Keltner Channel, causing the diff value to become positive. A positive diff signals a volatility breakout, which is the moment the strategy becomes active. The Trend & Momentum Engine (Multi-EMA System) This engine determines the market's direction and strength. It uses: A Fast EMA (e.g., 12-period) and a Slow EMA (e.g., 26-period): The crossover of these two moving averages defines the primary, underlying trend (similar to a MACD). An Ultra-Fast EMA (e.g., 2-period of ohlc4): This is used to measure the immediate, short-term momentum of the price. The Four Market States By combining the Trend and Momentum engines, the strategy categorizes the market into four visually distinct states, represented by the chart's background color. This is the most crucial aspect of the system. 💚 Green State: Strong Bullish The primary trend is UP (Fast EMA > Slow EMA) AND the immediate momentum is STRONG (Price > Fast EMA). Interpretation: This represents a healthy, robust uptrend where both the underlying trend and short-term price action are aligned. It is considered the safest condition for taking long positions. ❤️ Red State: Strong Bearish Condition: The primary trend is DOWN (Fast EMA < Slow EMA) AND the immediate momentum is WEAK (Price < Fast EMA). Interpretation: This represents a strong, confirmed downtrend. It is considered the safest condition for taking short positions. 💛 Yellow State: Weakening Bullish / Pullback Condition: The primary trend is UP (Fast EMA > Slow EMA) BUT the immediate momentum is WEAK (Price < Fast EMA). Interpretation: This is a critical warning signal for bulls. While the larger trend is still up, the short-term price action is showing weakness. This could be a minor pullback, a period of consolidation, or the very beginning of a trend reversal. Caution is advised. 💙 Blue State: Weakening Bearish / Relief Rally Condition: The primary trend is DOWN (Fast EMA < Slow EMA) BUT the immediate momentum is STRONG (Price > Fast EMA). Interpretation: This signals that a downtrend is losing steam. It often represents a short-covering rally (a "bear market rally") or the first potential sign of a market bottom. Bears should be cautious and consider taking profits. How the Strategy Functions The strategy uses these four states as its foundation for making trading decisions. The entry and exit arrows (Long, Short, Close) are generated based on a set of rules that can be customized by the user. For instance, a trader can configure the strategy to Only take long trades during the Green State. Require a confirmed volatility breakout (diff > 0) before entering a trade. Use the "RSI on Diff" indicator to ensure that the breakout is supported by accelerating momentum. Summary In essence, the Penguin Volatility State Strategy provides a powerful "dashboard" for viewing the market. It moves beyond simple indicators to offer a contextual understanding of price action. By waiting for the alignment of Trend (the State), Volatility (the Breakout), and Momentum (the Acceleration), it helps traders to identify higher-probability setups and, just as importantly, to know when it is better to stay out of the market. License / disclaimer © waranyu.trkm — MIT License. Educational use only; not financial advice.
Stratégie Pine Script®
par waranyutrkm
Dynamic Swing Anchored VWAP STRAT (Zeiierman/PineIndicators)Dynamic Swing Anchored VWAP STRATEGY — Zeiierman × PineIndicators (Pine Script v6) A pivot-to-pivot Anchored VWAP strategy that adapts to volatility, enters long on bullish structure, and closes on bearish structure. Built for TradingView in Pine Script v6. Full credits to zeiierman. Repainting notice: The original indicator logic is repainting. Swing labels (HH/HL/LH/LL) are finalized after enough bars have printed, so labels do not occur in real time. It is not possible to execute at historical label points. Treat results as educational and validate with Bar Replay and paper trading before considering any discretionary use. Concept The script identifies swing highs/lows over a user-defined lookback ( Swing Period ). When structure flips (most recent swing low is newer than the most recent swing high, or vice versa), a new regime begins. At each confirmed pivot, a fresh Anchored VWAP segment is started and updated bar-by-bar using an EWMA-style decay on price×volume and volume. Responsiveness is controlled by Adaptive Price Tracking (APT) . Optionally, APT auto-adjusts with an ATR ratio so that high volatility accelerates responsiveness and low volatility smooths it. Longs are opened/held in bullish regimes and closed when the regime turns bearish. No short positions are taken by design. How it works (under the hood) Swing detection: Uses ta.highestbars / ta.lowestbars over prd to update swing highs (ph) and lows (pl), plus their bar indices (phL, plL). Regime logic: If phL > plL → bullish regime; else → bearish regime. A change in this condition triggers a re-anchor of the VWAP at the newest pivot. Adaptive VWAP math: APT is converted to an exponential decay factor ( alphaFromAPT ), then applied to running sums of price×volume and volume, producing the current VWAP estimate. Rendering: Each pivot-anchored VWAP segment is drawn as a polyline and color-coded by regime. Optional structure labels (HH/HL/LH/LL) annotate the swing character. Orders: On bullish flips, strategy.entry("L") opens/maintains a long; on bearish flips, strategy.close("L") exits. Inputs & controls Swing Period (prd) — Higher values identify larger, slower swings; lower values catch more frequent pivots but add noise. Adaptive Price Tracking (APT) — Governs the VWAP’s “half-life.” Smaller APT → faster/closer to price; larger APT → smoother/stabler. Adapt APT by ATR ratio — When enabled, APT scales with volatility so the VWAP speeds up in turbulent markets and slows down in quiet markets. Volatility Bias — Tunes the strength of APT’s response to volatility (above 1 = stronger effect; below 1 = milder). Style settings — Colors for swing labels and VWAP segments, plus line width for visibility. Trade logic summary Entry: Long when the swing structure turns bullish (latest swing low is more recent than the last swing high). Exit: Close the long when structure turns bearish. Position size: qty = strategy.equity / close × 5 (dynamic sizing; scales with account equity and instrument price). Consider reducing the multiplier for a more conservative profile. Recommended workflow Apply to instruments with reliable volume (equities, futures, crypto; FX tick volume can work but varies by broker). Start on your preferred timeframe. Intraday often benefits from smaller APT (more reactive); higher timeframes may prefer larger APT (smoother). Begin with defaults ( prd=50, APT=20 ); then toggle “Adapt by ATR” and vary Volatility Bias to observe how segments tighten/loosen. Use Bar Replay to watch how pivots confirm and how the strategy re-anchors VWAP at those confirmations. Layer your own risk rules (stops/targets, max position cap, session filters) before any discretionary use. Practical tips Context filter: Consider combining with a higher-timeframe bias (e.g., daily trend) and using this strategy as an entry timing layer. First pivot preference: Some traders prefer only the first bullish pivot after a bearish regime (and vice versa) to reduce whipsaw in choppy ranges. Deviations: You can add VWAP deviation bands to pre-plan partial exits or re-entries on mean-reversion pulls. Sessions: Session-based filters (RTH vs. ETH) can materially change behavior on futures and equities. Extending the script (ideas) Add stops/targets (e.g., ATR stop below last swing low; partial profits at k×VWAP deviation). Introduce mirrored short logic for two-sided testing. Include alert conditions for regime flips or for price-VWAP interactions. Incorporate HTF confirmation (e.g., only long when daily VWAP slope ≥ 0). Throttle entries (e.g., once per regime flip) to avoid over-trading in ranges. Known limitations Repainting: Swing labels and pivot confirmations depend on future bars; historical labels can look “perfect.” Treat them as annotations, not executable signals. Execution realism: Strategy includes commission and slippage fields, yet actual fills differ by venue/liquidity. No guarantees: Past behavior does not imply future results. This publication is for research/education only and not financial advice. Defaults (backtest environment) Initial capital: 10,000 Commission value: 0.01 Slippage: 1 Overlay: true Max bars back: 5000; Max labels/polylines set for deep swing histories Quick checklist Add to chart and verify that the instrument has volume. Use defaults, then tune APT and Volatility Bias with/without ATR adaptation. Observe how each pivot re-anchors VWAP and how regime flips drive entries/exits. Paper trade across several symbols/timeframes before any discretionary decisions. Attribution & license Original indicator concept and logic: Zeiierman — please credit the author. Strategy wrapper and publication: PineIndicators . License: CC BY-NC-SA 4.0 (Attribution-NonCommercial-ShareAlike). Respect the license when forking or publishing derivatives.
Stratégie Pine Script®
par PineIndicators
5
VWAP Trend Strategy (Intraday) [KedarArc Quant]Description: An intraday strategy that anchors to VWAP and only trades when a local EMA trend gate and a volume participation gate are both open. It offers two entry templates—Cross and Cross-and-Retest—with an optional Momentum Exception for impulsive moves. Exits combine a TrendBreak (structure flips) with an ATR emergency stop (risk cap). Updates will be published under this script. Why this merits a new script This is not a simple “VWAP + EMA + ATR” overlay. The components are sequenced as gates and branches that *change the trade set* in ways a visual mashup cannot: 1. Trend Gate first (EMA fast vs. slow on the entry timeframe) Counter-trend VWAP crosses are suppressed. Many VWAP scripts fire on every cross; here, no entry logic even evaluates unless the trend gate is open. 2. Participation Gate second (Volume SMA × multiplier) This gate filters thin liquidity moves around VWAP. Without it, the same visuals would produce materially more false triggers. 3. Branching entries with structure awareness * Cross: Immediate VWAP cross in the trend direction. * Cross-and-Retest: Requires a revisit to VWAP vicinity within a lookback window (recent low near VWAP for longs; recent high for shorts). This explicitly removes first-touch fakeouts that a plain cross takes. * Momentum Exception (optional): A quantified body% + volume condition can bypass the retest when flow is impulsive—intentional risk-timing, not “just another indicator.” 4. Dual exits that reference both anchor and structure * TrendBreak: Close only when price loses VWAP and EMA alignment flips. * ATR stop: Placed at entry to cap tail risk. These exits complement the entry structure rather than being generic stop/target add-ons. What it does * Trades the session’s fair value anchor (VWAP), but only with local-trend agreement (EMA fast vs. slow) and sufficient participation (volume filter). * Lets you pick Cross or Cross-and-Retest entries; optionally allow a fast Momentum Exception when candles expand with volume. * Manages positions with a structure exit (TrendBreak) and an emergency ATR stop from entry. How it works (concepts & calculations) * VWAP (session anchor): Standard VWAP of the active session; entries reference the cross and the retest proximity to VWAP. * Trend gate: Long context only if `EMA(fast) > EMA(slow)`; short only if `EMA(fast) < EMA(slow)`. A *gate*, not a trigger—entries aren’t considered unless this is true. * Participation (volume) gate: Require `volume > SMA(volume, volLen) × volMult`. Screens out low-participation wiggles around VWAP. Entries: * Cross: Price crosses VWAP in the trend direction while volume gate is open. * Cross-and-Retest: After crossing, price revisits VWAP vicinity within `lookback` (recent *low near VWAP* for longs; recent *high near VWAP* for shorts). * Momentum Exception (optional): If body% (|close−open| / range) and volume exceed thresholds, enter without waiting for the retest. Exits: * TrendBreak (structure): * Longs close when `price < VWAP` and `EMA(fast) < EMA(slow)` (mirror for shorts). * ATR stop (risk): * From entry: `stop = entry ± ATR(atrLen) × atrMult`. How to use it ? 1. Select market & timeframe: Intraday on liquid symbols (equities, futures, crypto). 2. Pick entry mode: * Start with Cross-and-Retest for fewer, more selective signals. * Enable Momentum Exception if strong moves leave without retesting. 3. Tune guards: * Raise `volMult` to ignore thin periods; lower it for more activity. * Adjust `lookback` if retests come late/early on your symbol. 4. Risk: * `atrLen` and `atrMult` set the emergency stop distance. 5. Read results per session: Optional panel (if enabled) summarizes Net-R, Win%, and PF for today’s session to evaluate behavior regime by regime. ⚠️ Disclaimer This script is provided for educational purposes only. Past performance does not guarantee future results. Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
Stratégie Pine Script®
par kedarcquant
DNSE VN301!, ADX Momentum StrategyDiscover the tailored Pine Script for trading VN30F1M Futures Contracts intraday. This strategy applies the Statistical Method (IQR) to break down the components of the ADX, calculating the threshold of "normal" momentum fluctuations in price to identify potential breakouts for entry and exit signals. The script automatically closes all positions by 14:30 to avoid overnight holdings. www.tradingview.com Settings & Backtest Results: - Chart: 30-minute timeframe - Initial capital: VND 100 million - Position size: 4 contracts per trade (includes trading fees, excludes tax) - Backtest period: Sep-2021 to Sep-2025 - Return: over 270% (with 5 ticks slippage) - Trades executed: 1,000+ - Win rate: ~40% - Profit factor: 1.2 Default Script Settings: Calculates the acceleration of changes in the +DI and -DI components of the ADX, using IQR to define "normal" momentum fluctuations (adjustable via Lookback period). Calculates the difference between each bar’s Open and Close prices, using IQR to define "normal" gaps (adjustable via Lookback period). Entry & Exit Conditions: Entry Long: Change in +DI or -DI > Avg IQR Value AND Close Price > Previous Close Exit Long: (all 4 conditions must be met) - Change in +DI or -DI > Avg IQR Value - RSI < Previous RSI - Close–Open Gap > Avg IQR Gap - Close Price < Previous Close Entry Short: Change in +DI or -DI > Avg IQR Value AND Close Price < Previous Close Exit Short: (all 4 conditions must be met) - Change in +DI or -DI > Avg IQR Value - RSI > Previous RSI - Close–Open Gap > Avg IQR Gap - Close Price > Previous Close Disclaimers: Trading futures contracts carries a high degree of risk, and price movements can be highly volatile. This script is intended as a reference tool only. It should be used by individuals who fully understand futures trading, have assessed their own risk tolerance, and are knowledgeable about the strategy’s logic. All investment decisions are the sole responsibility of the user. DNSE bears no liability for any potential losses incurred from applying this strategy in real trading. Past performance does not guarantee future results. Please contact us directly if you have specific questions about this script.
Stratégie Pine Script®
par DNSE
1
RSI Momentum Trend MM with Risk Per Trade [MTF]This is a comprehensive and highly customizable trend-following strategy based on RSI momentum. The core logic identifies strong directional moves when the RSI crosses user-defined thresholds, combined with an EMA trend confirmation. It is designed for traders who want granular control over their strategy's parameters, from signal generation to risk management and exit logic. This script evolves a simple concept into a powerful backtesting tool, allowing you to test various money management and trade management theories across different timeframes. Key Features - RSI Momentum Signals: Uses RSI crosses above a "Positive" level or below a "Negative" level to generate trend signals. An EMA filter ensures entries align with the immediate trend. - Multi-Timeframe (MTF) Analysis: The core RSI and EMA signals can be calculated on a higher timeframe (e.g., using 4H signals to trade on a 1H chart) to align trades with the larger trend. This feature helps to reduce noise and improve signal quality. Advanced Money Management - Risk per Trade %: Calculate position size based on a fixed percentage of equity you want to risk per trade. - Full Equity: A more aggressive option to open each position with 100% of the available strategy equity. Flexible Exit Logic: Choose from three distinct exit strategies to match your trading style - Percentage (%) Based: Set a fixed Stop Loss and Take Profit as a percentage of the entry price. - ATR Multiplier: Base your Stop Loss and Take Profit on the Average True Range (ATR), making your exits adaptive to market volatility. - Trend Reversal: A true trend-following mode. A long position is held until an opposite "Negative" signal appears, and a short position is held until a "Positive" signal appears. This allows you to "let your winners run." Backtest Date Range Filter: Easily configure a start and end date to backtest the strategy's performance during specific market periods (e.g., bull markets, bear markets, or high-volatility periods). How to Use RSI Settings - Higher Timeframe: Set the timeframe for signal calculation. This must be higher than your chart's timeframe. - RSI Length, Positive above, Negative below: Configure the core parameters for the RSI signals. Money Management Position Sizing Mode - Choose "Risk per Trade" to use the Risk per Trade (%) input for precise risk control. - Choose "Full Equity" to use 100% of your capital for each trade. - Risk per Trade (%): Define the percentage of your equity to risk on a single trade (only works with the corresponding sizing mode). SL/TP Calculation Mode Select your preferred exit method from the dropdown. The strategy will automatically use the relevant inputs (e.g., % values, ATR Multiplier values, or the trend reversal logic). Backtest Period Settings Use the Start Date and End Date inputs to isolate a specific period for your backtest analysis. License & Disclaimer © waranyu.trkm — MIT License. This script is for educational purposes only and should not be considered financial advice. Trading involves significant risk, and past performance is not indicative of future results. Always conduct your own research and risk assessment before making any trading decisions.
Stratégie Pine Script®
par waranyutrkm
Recovery StrategyDescription: The Recovery Strategy is a long-only trading system designed to capitalize on significant price drops from recent highs. It enters a position when the price falls 10% or more from the highest high over a 6-month lookback period and adds positions on further 2% drops, up to a maximum of 5 positions. Each trade is held for 6 months before exiting, regardless of profit or loss. The strategy uses margin to amplify position sizes, with a default leverage of 5:1 (20% margin requirement). All key parameters are customizable via inputs, allowing flexibility for different assets and timeframes. Visual markers indicate recent highs for reference. How It Works: Entry: Buys when the closing price drops 10% or more from the recent high (highest high in the lookback period, default 126 bars ~6 months). If already in a position, additional buys occur on further 2% drops (e.g., 12%, 14%, 16%, 18%), up to 5 positions (pyramiding). Exit: Each trade exits after its own holding period (default 126 bars ~6 months), regardless of profit or loss. No stop loss or take-profit is used. Margin: Uses leverage to control larger positions (default 20% margin, 5:1 leverage). The order size is a percentage of equity (default 100%), adjustable via inputs. Visualization: Displays blue markers (without text) at new recent highs to highlight reference levels. Inputs: Lookback Period for High Peak (bars): Number of bars to look back for the recent high (default: 126, ~6 months on daily charts). Initial Drop Percentage to Buy (%): Percentage drop from recent high to trigger the first buy (default: 10.0%). Additional Drop Percentage to Buy (%): Further drop percentage to add positions (default: 2.0%). Holding Period (bars): Number of bars to hold each position before selling (default: 126, ~6 months). Order Size (% of Equity): Percentage of equity used per trade (default: 100%). Margin for Long Positions (%): Percentage of position value covered by equity (default: 20%, equivalent to 5:1 leverage). Usage: Timeframe: Designed for daily charts (126 bars ~6 months). Adjust Lookback Period and Holding Period for other timeframes (e.g., 1008 hours for hourly charts, assuming 8 trading hours/day). Assets: Suitable for stocks, ETFs, or other assets with significant price volatility. Test thoroughly on your chosen asset. Settings: Customize inputs in the strategy settings to match your risk tolerance and market conditions. For example, lower Margin for Long Positions (e.g., to 10% for 10:1 leverage) to increase position sizes, but beware of higher risk. Backtesting: Use TradingView’s Strategy Tester to evaluate performance. Check the “List of Trades” for skipped trades due to insufficient equity or margin requirements. Risks and Considerations: No Stop Loss: The strategy holds trades for the full 6 months without a stop loss, exposing it to significant drawdowns in prolonged downtrends. Margin Risk: Leverage (default 5:1) amplifies both profits and losses. Ensure sufficient equity to cover margin requirements to avoid skipped trades or simulated margin calls. Pyramiding: Up to 5 positions can be open simultaneously, increasing exposure. Adjust pyramiding in the code if fewer positions are desired (e.g., change to pyramiding=3). Market Conditions: Performance depends on price drops and recoveries. Test on historical data to assess effectiveness in your market. Broker Emulator: TradingView’s paper trading simulates margin but does not execute real margin trading. Results may differ in live trading due to broker-specific margin rules. How to Use: Add the strategy to your chart in TradingView. Adjust input parameters in the settings panel to suit your asset, timeframe, and risk preferences. Run a backtest in the Strategy Tester to evaluate performance. Monitor open positions and margin levels in the Trading Panel to manage risk. For live trading, consult your broker’s margin requirements and leverage policies, as TradingView’s simulation may not match real-world conditions. Disclaimer: This strategy is for educational purposes only and does not constitute financial advice. Trading involves significant risk, especially with leverage and no stop loss. Always backtest thoroughly and consult a financial advisor before using any strategy in live trading.
Stratégie Pine Script®
par tanmaychess
LP Sweep / Reclaim & Breakout Grading: Long-onlySignals 1) LP Sweep & Reclaim (mean-reversion entry) Compute LP bounds from prior-bar window extremes: lpLL_prev = lowest low of the last N bars (offset 1). lpHH_prev = highest high of the last N bars (offset 1). Sweep long trigger: current low dips below lpLL_prev and closes back above it. Real-time quality grading (A/B/C) for sweep: Trend filter & slope via EMA(88). BOS bonus: close > last confirmed swing high. Body size vs ATR, location above a long EMA, headroom to swing high (penalty if too close), and multi-sweep count bonus. Sum → score → grade A/B/C; A or B required for sweep entry. 2) Trend Breakout (momentum entry) Core trigger: close > previous Donchian high (length boLen) + ATR buffer. Optional filter: close must be above the default EMA. Breakout grading (A/B/C) in real time combining: Trend up (price > EMA and EMA rising), Body/ATR, Gap above breakout level (in ATR), Volume vs MA, Upper-wick penalty, Position-in-Score: headroom to last swing high (penalty if too near) + EMA slope bonus. Sum → score → A or B required if grading enabled.
Stratégie Pine Script®
par Shihyuuu
Gann Fan Strategy [KedarArc Quant]Description A single-concept, rule-based strategy that trades around a programmatic Gann Fan. It anchors to a swing (or a manual point), builds 1×1 and related fan lines numerically, and triggers entries when price interacts with the 1×1 (breakout or bounce). Management is done entirely with the fan structure (next/previous line) plus optional ATR trailing. What TV indicators are used * Pivots: `ta.pivothigh/ta.pivotlow` to confirm swing highs/lows for anchor selection. * ATR: `ta.atr` only to scale the 1×1 slope (optional) and for an optional trailing stop. * EMA: `ta.ema` as a trend filter (e.g., only long above the EMA, short below). No RSI/MACD/Stoch/Heikin/etc. The logic is one coherent framework: Gann price–time geometry, with ATR as a scale and EMA as a risk filter. How it works 1. Anchor * Auto: chooses the most recent *confirmed* pivot (you control Left/Right). * Manual: set a price and bar index and the fan will hold that point (no re-anchoring). * Optional Re-anchor when a newer pivot confirms. 2. 1×1 Slope (numeric, not cosmetic) * ATR mode: `1×1 = ATR(Length) × Multiplier` (adapts to volatility). * Fixed mode: `ticks per bar` (constant slope). Because slope is numeric, it doesn’t change with chart zoom, unlike the drawing tool. 3. Fan Lines Builds classic ratios around the 1×1: 1/8, 1/4, 1/3, 1/2, 1/1, 2/1, 3/1, 4/1, 8/1. 4. Signals * Breakout: cross of price over/under the 1×1 in the EMA-aligned direction. * Bounce (optional): touch + reversal across the 1×1 to reduce whipsaw. 5. Exits & Risk * Take-profit at the next fan line; Stop at the previous fan line. * If a level is missing (right after re-anchor), a fallback Risk-Reward (RR) is used. * Optional ATR trailing stop. Why this is unique * True numeric fan: The 1×1 slope is calculated from ATR or fixed ticks—not from screen geometry—so it is scale-invariant and reproducible across users/timeframes. * Deterministic anchor logic: Uses confirmed pivots (with your L/R settings). No look-ahead; anchors update only when the right bars complete. * Fan-native trade management: Both entries and exits come from the fan structure itself (with a minimal ATR/EMA assist), keeping the method pure. * Two entry archetypes: Breakout for momentum days; Bounce for range days—switchable without changing the core model. * Manual mode: Lock a session’s bias by anchoring to a chosen swing (e.g., day’s first major low/high) and keep the fan constant all day. Inputs (quick guide) * Auto Anchor (Left/Right): pivot sensitivity. Higher values = fewer, stronger anchors. * Re-anchor: refresh to newer pivots as they confirm. * Manual Anchor Price / Bar Index: fixes the fan (turn Auto off). * Scale 1×1 by ATR: on = adaptive; off = use ticks per bar. * ATR Length / ATR Multiplier: controls adaptive slope; start around 14 / 0.25–0.35. * Ticks per bar: exact fixed slope (match a hand-drawn fan by computing slope ÷ mintick). * EMA Trend Filter: e.g., 50–100; trades only in EMA direction. * Use Bounce: require touch + reverse across 1×1 (helps in chop). * TP/SL at fan lines; Fallback RR for missing levels; ATR Trailing Stop optional. * Transparency/Plot EMA: visual preferences. Tips * Range days: larger pivots (L/R 8–12), Bounce ON, ATR Multiplier \~0.30–0.40, EMA 100. * Trend days: L/R 5–6, Breakout, Multiplier \~0.20–0.30, EMA 50, ATR trail 1.0–1.5. * Match the TV Gann Fan drawing: turn ATR scale OFF, set ticks per bar = `(Δprice between anchor and 1×1 target) / (bars) / mintick`. Repainting & testing notes * Pivots require Right bars to confirm; anchors are set after confirmation (no look-ahead). * Signals use the current bar close with TradingView strategy mechanics; real-time vs. bar-close can differ slightly, as with any strategy. * Re-anchoring legitimately moves the structure when new pivots confirm—by design. ⚠️ Disclaimer This script is provided for educational purposes only. Past performance does not guarantee future results. Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
Stratégie Pine Script®
par kedarcquant