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Indikatoren und Strategien

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
Pine Script® Strategie
von hamster-bot
2
Hull UT Bot Strategy - UT Main + Hull ConfirmThis strategy merges the strengths of the Hull Moving Average (HMA) Suite and the UT Bot Alerts indicator to create a trend-following system with reduced signal noise. The UT Bot acts as the primary signal generator, using an ATR-based trailing stop to identify momentum shifts and potential entry points. These signals are then filtered by the Hull Suite for trend confirmation: long entries require a UT Bot buy signal aligned with a bullish (green) Hull band, while short entries need a UT Bot sell signal with a bearish (red) Hull band. This combination aims to capture high-probability swings while avoiding whipsaws in choppy markets.The Hull Suite provides a responsive, smoothed moving average (configurable as HMA, EHMA, or THMA) that colors its band based on trend direction, offering a visual and logical filter for the faster UT Bot signals. The result is a versatile strategy suitable for swing trading on timeframes like 1H or 4H, with options for higher timeframe Hull overlays for scalping context. It includes backtesting capabilities via Pine Script's strategy functions, plotting confirmed signals, raw UT alerts (for reference), and the trailing stop line.Key benefits:Noise Reduction: Hull confirmation eliminates ~50-70% of false UT Bot signals in ranging markets (based on typical backtests). Trend Alignment: Ensures entries follow the broader momentum defined by the Hull band. Customization: Adjustable sensitivity for different assets (e.g., forex, stocks, crypto). How It WorksUT Bot Core: Calculates an ATR trailing stop (sensitivity via "Key Value"). A buy signal triggers when price crosses above the stop (bullish momentum), and sell when below (bearish). Hull Filter: The Hull band is green if current Hull > Hull (bullish), red otherwise. Signals only fire on alignment. Entries: Long on confirmed UT buy + green Hull; Short on confirmed UT sell + red Hull. No explicit exits—relies on opposite signals for reversal. Visuals: Plots Hull band, UT trailing stop, confirmed labels (Long/Short), and optional raw UT circles. Bar colors reflect UT position, tinted by confirmation. Alerts: Triggers on confirmed long/short for automated notifications. This setup performs well in trending markets but may lag in strong reversals—pair with risk management (e.g., 1-2% per trade).Recommended Settings Use these as starting points; optimize via back testing on your asset/timeframe. -Hull Variation Hma Standard Hull for responsiveness; switch to EHMA for smoother crypto, THMA for volatile stocks. -Hull Length 55 Balances swing detection; use 180-200 for dynamic S/R levels on higher TFs. -Hull Length Multiplier 1.0 Keep at 1 for native TF; >1 for HTF straight bands (e.g., 2 for 2x smoothing). -Show Hull from HTF False Enable for scalping (e.g., 1m chart with 15m Hull); set HTF to "15" or "240". -Color Hull by Trend True Visual trend cue; disable for neutral orange line. -Color Candles by Hull False Enable for trend visualization; conflicts with UT bar colors if True. -Show Hull as Band True Fills area for clear up/down zones; set transparency to 40-60. -Hull Line Thickness 1-2 Thinner for clean charts; 2+ for emphasis. -UT Bot Key Value 1 Default sensitivity (ATR multiple); 0.5 for aggressive signals, 2 for conservative. -UT Bot ATR Period 10 Standard volatility window; 14 for longer swings, 5 for intraday. -UT Signals from HA False Use True for smoother signals in noisy markets (Heikin Ashi close). Backtesting Tips: Test on liquid pairs like EURUSD (1H) or BTCUSD (4H) with 1% equity risk. Expect win rates ~45-60% in trends, with 1.5-2:1 reward:risk. Adjust Key Value down for more trades, Hull Length up for fewer.
Pine Script® Strategie
von bigmoneymazz
AlphaTrend Strategy-Dexter📌 AlphaTrend Strategy – Brief Description The AlphaTrend Strategy uses ATR with RSI/MFI filters to build a dynamic trend line. Buy when AlphaTrend crosses above its past value (trend up). Sell when AlphaTrend crosses below its past value (trend down). Works as a trend-following system, but can whipsaw in sideways markets. 📊 Backtest Summary (Nifty 50, 10-min TF) Period: Aug 19, 2024 – Sep 11, 2025 Metric Value Total P&L ₹5,595.65 (+0.56%) Total Trades 230 Win Rate 42.61% Profit Factor 1.40 Max Equity Drawdown ₹1,704.15 (0.17%) Sharpe Ratio -1.80 ❌ Sortino Ratio -0.87 ❌ ⚠️ Observations & Risks Profit Factor > 1 → profitable but thin edge. Negative Sharpe & Sortino → risk-adjusted performance is poor (high volatility, low consistency). Low Win Rate (42%) → depends heavily on a few big winners. No Stop Loss / Take Profit → exposes account to streaks of losses. Works better in trending markets, fails in choppy/sideways conditions. ✅ Caution: The system makes money on paper, but the risk profile is weak. Use strict money management and additional filters (higher timeframe trend or volume confirmation) before considering it live.
Pine Script® Strategie
von theprimedexter
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.
Pine Script® Strategie
von Hilly1976
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.
Pine Script® Strategie
von bbbirkan
1
Trend Strength Index Long Strategy📈 Trend Strength Index Long Strategy This strategy combines the Trend Strength Index (TSI) with a Volume-Weighted Moving Average (VWMA) to identify high-probability long entries based on trend momentum and price confirmation. 📊 TSI Calculation : Measures correlation between price and time (bar index) over a user-defined period. Strong TSI values indicate trend momentum. 📏 VWMA Filter : Confirms bullish bias when price is above the VWMA. 🚀 Entry Condition : Long position is triggered when TSI crosses above -0.65 and price is above VWMA. 🔒 Exit Condition : Position is closed when TSI crosses above 0.65. 🎨 Visuals : Gradient fills highlight bullish and bearish zones. VWMA is plotted for trend context. 🧮 TSI Length: Adjustable (default 14) 📐 VWMA Length: Adjustable (default 55) 💸 Commission: 0.1% per trade 📊 Position Size: 75% of equity ⚙️ Slippage: 10 ticks ✅ Best used in trending markets with steady momentum. ⚠️ Avoid in choppy or range-bound conditions.
Pine Script® Strategie
von llbot
ATR Rope Strategy - Jaxon0007🔹 Overview The ATR Trend Rope is a volatility-based trend detection tool designed to adapt dynamically to price movements. It combines Average True Range (ATR) smoothing with a rope-style adaptive channel to identify: 📈 Bullish trends (green rope) 📉 Bearish trends (red rope) ⚖️ Neutral/consolidation zones (gray rope with shaded areas) This makes it useful for detecting trend continuation, reversals, and sideways consolidation ranges. 🔹 Features ✔️ Adaptive Rope Line → Filters out market noise using ATR. ✔️ ATR Channel → Upper & lower dynamic levels for volatility tracking. ✔️ Consolidation Zones → Highlights sideways price action. ✔️ Dynamic Colors → Instant visual feedback of trend direction. 🔹 How to Use Trend Detection Green rope = bullish trend (look for longs). Red rope = bearish trend (look for shorts). Gray rope = neutral / range (avoid trend trades). Consolidation Zones Shaded areas represent sideways phases. Breakouts from these zones often lead to strong moves. ATR Channel Optional channel lines act as dynamic support/resistance. Price above channel → strong bullish pressure. Price below channel → strong bearish pressure. 🔹 Backtest / Strategy Idea Although this script is coded as an indicator, you can manually backtest it with simple rules: Long Entries: Rope turns green after a consolidation or cross. Confirm with price closing above rope. Short Entries: Rope turns red after a consolidation or cross. Confirm with price closing below rope. Exit / Stop-Loss: Exit when rope flips color. Stop-loss can be placed at ATR channel levels. This system can be turned into a strategy by adding entry/exit conditions directly in Pine Script (optional). 🔹 Settings Price Source: Default close (can be changed). ATR Period: Default 14. ATR Multiplier: Default 1.5 (controls sensitivity). Show Consolidation Zones: On/Off toggle. Show ATR Channel: On/Off toggle.
Pine Script® Strategie
von Jaxon007
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.
Pine Script® Strategie
von Hilly1976
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.
Pine Script® Strategie
von bbbirkan
1
Trend Line Breakout StrategyThe Trend Line Breakout Strategy is a sophisticated, automated trading system built in Pine Script v6 for TradingView, designed to capture high-probability reversals by detecting breakouts from dynamic trend lines. It focuses on establishing clear directional bias through higher timeframe (HTF) trend analysis while executing precise entries on the chart's native timeframe (typically lower, such as 15-60 minutes for intraday trading). Key Components: Trend Line Construction: Green Uptrend Lines (Support): Automatically drawn by connecting the two most recent pivot lows, but only if the line slopes upward (positive slope). This ensures the line truly represents bullish support. Red Downtrend Lines (Resistance): Drawn by connecting the two most recent pivot highs, but only if the line slopes downward (negative slope), confirming bearish resistance. Pivot points are detected using a user-defined lookback period (default: 5 bars left and right), filtering out invalid lines to reduce noise. HTF Trend Filter: Uses a 20-period EMA crossover against a 50-period EMA on a user-selected higher timeframe (e.g., 4H or Daily) to determine overall market direction. Long trades require an uptrend (20 EMA > 50 EMA), and shorts require a downtrend. This aligns entries with the broader momentum, reducing whipsaws. Entry Signals:Buy (Long) Signal: Triggered when price breaks above a red downtrend line with two consecutive confirmation candles (each closing above the line with bullish momentum, i.e., close > open). Must align with HTF uptrend. Sell (Short) Signal: Triggered when price breaks below a green uptrend line with two consecutive confirmation candles (each closing below the line with bearish momentum, i.e., close < open). Must align with HTF downtrend. This "2-candle confirmation" rule ensures momentum shift, avoiding false breaks. Risk Management:Position Sizing: Risks a fixed percentage of equity (default: 1%) per trade. Stop Loss: Optional ATR-based (14-period default) or fixed 1% of price, placed beyond the breakout candle's extreme. Take Profit: Set at a user-defined risk-reward ratio (default: 2:1), scaling rewards relative to the stop distance. No pyramiding or trailing stops in the base version, keeping it simple and robust. Visual Aids: Plots green/red trend lines on the chart. Triangle shapes mark entry signals (up for buys, down for sells). Background shading highlights HTF trend (light green for up, light red for down). Dashed lines show active stop-loss and take-profit levels. This strategy excels in trending markets like forex pairs (e.g., EUR/USD) or volatile assets (e.g., BTC/USD), where trend lines hold multiple touches before breaking. It avoids overtrading by requiring slope validation and HTF alignment, aiming for 40-60% win rates with favorable risk-reward to compound returns. Backtesting on historical data (e.g., 2020-2025) typically shows drawdowns under 15% with positive expectancy, but always forward-test on a demo account due to slippage and commissions.Example: Best Possible Settings for Highest ReturnBased on extensive backtesting across various assets and timeframes (using TradingView's Strategy Tester on historical data from January 2020 to September 2025), the optimal settings for maximizing net profit (highest return) were found on the EUR/USD pair using a 1-hour chart. This configuration yielded a simulated return of approximately 285% over the period (with a 52% win rate, profit factor of 2.8, and max drawdown of 12%), outperforming defaults by focusing on longer-term trends and higher rewards. Higher Timeframe "D" (Daily) Captures major institutional trends for fewer but higher-quality signals; reduces noise compared to 4H. Lower Timeframe "60" (1H) Balances intraday precision with trend reliability; ideal for swing trades lasting 1-3 days. Pivot Lookback Period 10 Longer lookback identifies more significant pivots, improving trend line validity in volatile forex markets. Min Trendline Touch Points 2 (default) Sufficient for confirmation without over-filtering; higher values reduce signals excessively. Risk % of Equity 1.0 (default) Conservative sizing preserves capital during drawdowns; scaling up increases returns but volatility. Profit Target (R:R) 3.0 1:3 ratio allows profitability with ~33% win rate; backtests showed it maximizes expectancy in breakouts. Use ATR for Stop Loss? true (default) ATR adapts to volatility, preventing premature stops in choppy conditions. Backtest Summary (EUR/USD, 1H, 2020-2025):Total Trades: 156 Winning Trades: 81 (52%) Avg. Win: +1.8% | Avg. Loss: -0.6% Net Profit: +285% (compounded) Sharpe Ratio: 1.65 Apply these on a demo first, as live results may vary with spreads (~0.5 pips on EUR/USD). For other assets like BTC/USD, increase pivot lookback to 15 for better noise filtering.
Pine Script® Strategie
von bigmoneymazz
Enhanced Kitchen Sink Strategymulti-layered trading system designed for TradingView, targeting a minimum 75% win rate through precise entry signals and robust risk management. Built on classic EMA crossovers, it incorporates advanced filters for trend alignment, momentum confirmation, and market confluence to reduce false signals and maximize profitable trades. Ideal for swing traders on timeframes like 1H or 4H, it adapts to various assets (stocks, forex, crypto) while emphasizing conservative position sizing and dynamic stops. With customizable inputs and a real-time dashboard, it's user-friendly yet powerful for both beginners and pros aiming for consistent, high-probability setups. Core Entry Logic At its heart, the strategy triggers long entries on bullish EMA crossovers (fast 12-period EMA crossing above slow 26-period EMA, with close above the slow EMA) and short entries on bearish crossunders. To ensure high-quality trades: Pullback Entries (Optional): Waits for price to retrace to a short-term EMA (default 8-period) before entering, capturing better risk-reward on dips in trends. Signal Quality Scoring: A proprietary 0-100% score evaluates each setup across 6 categories (trend, EMAs, MACD, RSI, volume, trendlines/S&R). Trades only fire if the score exceeds your threshold (default 75%, adjustable to 0% for testing). This results in fewer but higher-conviction trades, filtering out noise for superior edge. Advanced Filters for Confluence No single indicator drives decisions—confluence is key: Trend Analysis: Master trend filter using a 200-period EMA and strength metric (default >0.5% deviation). Optional higher-timeframe (e.g., daily) confirmation via EMA and MACD alignment. MACD Double Confirmation: Requires MACD line above/below signal (9-period) with optional histogram momentum buildup. RSI + Divergence: Filters for neutral RSI zones (40-70 for longs, 30-60 for shorts) and detects bullish/bearish divergences over 20 bars. Volume Profile: Demands above-average volume (1.5x 20-period SMA) with buying/selling pressure analysis. Trendlines & S/R: Auto-detects dynamic trendlines from pivots (10-bar lookback) and support/resistance zones (100-bar lookback, 3+ touches), avoiding entries near key levels. Session Filters: Trades only during London/NY sessions (UTC-based), skipping high-volatility news windows (e.g., 1:30-2:00 PM UTC). All filters are toggleable, allowing you to dial in aggressiveness—disable for more signals during backtesting.Risk Management & Position Sizing Safety first: Uses 100% equity per trade with 0.1% commission simulation. Stops & Targets: ATR-based (14-period) stop-loss (1x ATR) and take-profit (2.5x ATR) for 1:2.5 risk-reward. Breakeven Moves: Auto-shifts stop to +0.1% entry after 1% profit. Trailing Stops: Optional 1.5x ATR trail to lock in gains during runners. No pyramiding—flat after each close for clean, low-drawdown performance. Visualization & Insights On-Chart: Plots EMAs, pullback lines, S/R dashes, trend backgrounds (green/red), and entry labels/shapes. Dashboard: Real-time table shows trend status, HTF bias, quality scores, MACD/RSI/volume readouts, session info, ATR, price, and position. Customization: 20+ inputs grouped by category; max 500 labels for clean charts. Performance Edge & Usage Tips Backtested for 75%+ win rates in trending markets, this strategy shines in volatile assets like EURUSD or BTCUSD. Start with defaults on 1H charts, then tweak filters (e.g., lower quality to 50%) for ranging conditions. Always forward-test—past results aren't guarantees. Download, apply, and elevate your trading with confluence-driven precision!
Pine Script® Strategie
von bigmoneymazz
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.
Pine Script® Strategie
von bitcoinwolf1130
Hazel nut BB Strategy, volume base- lite versionHazel nut BB Strategy, volume base — lite version Having knowledge and information in financial markets is only useful when a trader operates with a well-defined trading strategy. Trading strategies assist in capital management, profit-taking, and reducing potential losses. This strategy is built upon the core principle of supply and demand dynamics. Alongside this foundation, one of the widely used technical tools — the Bollinger Bands — is employed to structure a framework for profit management and risk control. In this strategy, the interaction of these tools is explained in detail. A key point to note is that for calculating buy and sell volumes, a lower timeframe function is used. When applied with a tick-level resolution, this provides the most precise measurement of buyer/seller flows. However, this comes with a limitation of reduced historical depth. Users should be aware of this trade-off: if precise tick-level data is required, shorter timeframes should be considered to extend historical coverage . The strategy offers multiple configuration options. Nevertheless, it should be treated strictly as a supportive tool rather than a standalone trading system. Decisions must integrate personal analysis and other instruments. For example, in highly volatile assets with narrow ranges, it is recommended to adjust profit-taking and stop-loss percentages to smaller values. ◉ Volume Settings • Buyer and seller volume (up/down volume) are requested from a lower timeframe, with an option to override the automatic resolution. • A global lookback period is applied to calculate moving averages and cumulative sums of buy/sell/delta volumes. • Ratios of buyers/sellers to total volume are derived both on the current bar and across the lookback window. ◉ Bollinger Band • Bands are computed using configurable moving averages (SMA, EMA, RMA, WMA, VWMA). • Inputs allow control of length, standard deviation multiplier, and offset. • The basis, upper, and lower bands are plotted, with a shaded background between them. ◉ Progress & Proximity • Relative position of the price to the Bollinger basis is expressed as percentages (qPlus/qMinus). • “Near band” conditions are triggered when price progress toward the upper or lower band exceeds a user-defined threshold (%). • A signed score (sScore) represents how far the close has moved above or below the basis relative to band width. ◉ Info Table • Optional compact table summarizing: • - Upper/lower band margins • - Buyer/seller volumes with moving averages • - Delta and cumulative delta • - Buyer/seller ratios per bar and across the window • - Money flow values (buy/sell/delta × price) for bar-level and summed periods • The table is neutral-colored and resizable for different chart layouts. ◉ Zone Event Gate • Tracks entry into and exit from “near band” zones. • Arming logic: a side is armed when price enters a band proximity zone. • Trigger logic: on exit, a trade event is generated if cumulative buyer or seller volume dominates over a configurable window. ◉ Trading Logic • Orders are placed only on zone-exit events, conditional on volume dominance. • Position sizing is defined as a fixed percentage of strategy equity. • Long entries occur when leaving the lower zone with buyer dominance; short entries occur when leaving the upper zone with seller dominance. ◉ Exit Rules • Open positions are managed by a strict priority sequence: • 1. Stop-loss (% of entry price) • 2. Take-profit (% of entry price) • 3. Opposite-side event (zone exit with dominance in the other direction) • Stop-loss and take-profit levels are configurable ◉ Notes • This lite version is intended to demonstrate the interaction of Bollinger Bands and volume-based dominance logic. • It provides a framework to observe how price reacts at band boundaries under varying buy/sell pressure, and how zone exits can be systematically converted into entry/exit signals. When configuring this strategy, it is essential to carefully review the settings within the Strategy Tester. Ensure that the chosen parameters and historical data options are correctly aligned with the intended use. Accurate back testing depends on applying proper configurations for historical reference. The figure below illustrates sample result and configuration type.
Pine Script® Strategie
von ata_sabanci
Money Flow Index 1D — last-10m live EXITMoney Flow Index 1D Algo — Last-10m Live Exit (Single-Alert Ready) What it does This strategy buys daily oversold dips using MFI and manages exits with simple, execution-friendly rules: Entry (Long-only): Go long when daily MFI < threshold (optional “operate on close” confirmation). Exits: Breakout exit: Close if price closes above the previous day’s high. Time exit: Close after N bars in trade. Optional SL: Percentage stop from entry. Live EOD exit window: During the last N minutes before 16:00 New York, close early if price strength persists (configurable buffer). Next-open execution: When an exit is marked at the daily close, the strategy sends the close at the next session open (live alert) while still backtesting with strategy.close. Anti-PDT safeguard: Optional rule to avoid same-day exits after entry. Single-alert mode: Optional, sends entry JSON from the script so you can run the entire flow with one alert. Visuals: Entry/exit markers and “pending exit” badge. Notes: Alert-based exits run on live bars; historical backtests use strategy orders so results remain visible. The EOD window uses your time zone input (default: America/New_York) and only applies in real-time. Inputs (high-level) MFI period & level: Default 2 bars; enter when MFI < level. Operate on close: Confirm signals at bar close. Max bars in trade: Time stop. Stop-Loss %: Optional percent SL. EOD live exit window: Last N minutes before 16:00 NY (+ optional price buffer). Anti-PDT: Block same-day exits. Single-alert mode: If enabled, the script emits entry alerts too; otherwise only exits send alerts. Connect to SignalStack (no custom server needed) Option A — One alert (recommended): “Any alert() function call” This script generates JSON via alert() on entries (when Single-alert is ON) and on all exits. Create one alert and let the script supply the message. Create a SignalStack webhook (Brokers & Webhooks → pick your broker → Create Webhook → copy URL). SignalStack In TradingView Create Alert: Condition: select this strategy → Any alert() function call. TradingView Webhook URL: paste your SignalStack webhook URL. SignalStack Message: leave empty — the script’s alert() provides full JSON (the Create-Alert “Message” box is not used by alert() and doesn’t process placeholders). TradingView In the strategy settings: Turn ON “Use a single alert (alert() also on ENTRIES)”. Set Entry Qty (this becomes the quantity value in the entry JSON). What SignalStack expects (stocks/ETFs): symbol, action, quantity. Docs show lowercase examples ("buy", "sell"). If your broker enforces lowercase, ensure actions are lowercase in the payload. SignalStack Typical live JSON (sent by the script): Entry: {"symbol":"QQQ","action":"BUY","quantity":10,"class":"equity","intent":"open",...} Exit: {"symbol":"QQQ","action":"SELL","quantity":,"class":"equity","intent":"close",...} SignalStack’s stock router only requires symbol/action/quantity; extra fields like class, intent, source, nonce are simply ignored by the router. SignalStack Option B — Strategy “Order fills only” (alternative) If you prefer TradingView to send alerts on strategy fills, create a Strategy Alert with Order fills only and put JSON with placeholders in the Message box (TradingView replaces them at runtime): TradingView +1 Message: { "symbol": "{{ticker}}", "action": "{{strategy.order.action}}", "quantity": "{{strategy.order.contracts}}" } Placeholders like {{strategy.order.action}} and {{strategy.order.contracts}} are officially supported in strategy alerts. TradingView For stocks/ETFs on Tastytrade, those three fields are sufficient per SignalStack docs. SignalStack Why the single-alert option is ideal here The script already builds the JSON and handles special cases (last-10m exit, next-open exit). Using “Any alert() function call” means you only maintain one alert; the code drives entries/exits. TradingView Disclaimers Backtests are simulations; live fills differ. Verify your broker permissions and symbol formats in SignalStack before going live. SignalStack examples show lowercase action values; align to your broker’s requirement if needed. SignalStack
Pine Script® Strategie
von mauricio_a_morales
AstraAlgo BacktesterOVERVIEW The AstraAlgo Backtester allows traders to simulate and evaluate trading strategies directly on TradingView. By simulating trades across different timeframes and markets, it provides valuable insights into win rates, drawdowns, and overall strategy effectiveness. HOW TO GAIN ACCESS Subscribe at www.astraalgo.com and provide your TradingView username. Access is usually granted within a few hours, and you’ll receive email confirmation once activated. FEATURES Signal Modes Signal Modes are the core of the AstraAlgo Backtester, generating simulated trade signals based on historical price data. Users can choose between Off, Basic, Advanced, or Custom modes to evaluate strategies under different conditions and refine their trading approach. Adjustable Backtesting Parameters for historical simulations can be customized to test different market conditions and trading scenarios. This allows traders to measure strategy performance, including win rate, profit/loss, and risk/reward ratios, helping refine and optimize strategies before live execution. Bar Coloring Bar Coloring highlights bullish and bearish bars on historical charts, allowing traders to visually assess trend direction and trade outcomes during backtesting. This makes it easier to analyze momentum and strategy effectiveness at a glance. Astra Cloud Astra Cloud overlays dynamic support and resistance levels on historical price data. These zones adapt automatically to past market movements, helping traders identify areas where trades would have reacted, aiding strategy evaluation and optimization. CONTACT US For any questions or assistance, contact us at support@astraalgo.com or visit www.astraalgo.com.
Pine Script® Strategie
von AstraAlgo