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AlgoAIDESIGNED FOR HEIKEN ASHI BARS Gain Access here: algoai.store AlgoAI The Dark Edge of Trading An AI-powered TradingView strategy that thrives across all markets. Short altcoin pumps. Ride NAS100 waves. Dominate gold, FX, stocks, and futures — all with one AI brain. #1 Semi-Automatic Trading (Recommended) Set up alerts on AlgoAI signals. As they come in, grade the setups and choose to enter manually. This gives you full control while leveraging AI precision. #2 Fully Automated Trading Pass signals via webhooks to TradersPost for futures or PineConnector for FX. Note: When running fully automated, it's suggested to use long-only or short-only mode to avoid side swiping and potential unintended drawdown. BITSTAMP:BTCUSD
Strategi Pine Script®
oleh ArtificialIntelligenceAlgo
Alpha - Multi-Asset Adaptive Trading Strategy# Alpha - Multi-Asset Adaptive Trading Strategy Overview Alpha is a comprehensive trading strategy that combines multiple technical analysis components with pre-optimized settings for over 70 different trading instruments across cryptocurrencies, forex, and stocks. The strategy employs an adaptive approach using modified trend detection algorithms, dynamic support/resistance zones, and multi-timeframe confirmation. Key Features & Originality 1. Adaptive Trend Detection System - Modified trend-following algorithm with amplitude-based channel deviation - Dynamic channel width adjustment based on ATR (Average True Range) - Dual-layer trend confirmation using both price action and momentum indicators 2. Pre-Configured Asset Optimization The strategy includes carefully backtested parameter sets for: - **Cryptocurrencies**: BTC, ETH, and 40+ altcoin pairs - **Forex Pairs**: Major and minor currency pairs - **Stocks**: TSLA, AAPL, GOOG - **Commodities**: Gold, Silver, Platinum - Each configuration is optimized for specific timeframes (5m, 15m, 30m, 45m, 1h) 3. Advanced Risk Management - Multiple take profit levels (4 targets with customizable position sizing) - Dynamic stop-loss options (ATR-based or percentage-based) - Position size allocation across profit targets (default: 30%, 30%, 30%, 10%) 4. Multi-Timeframe Analysis Dashboard - Real-time analysis across 4 configurable timeframes - Comprehensive performance metrics display - Visual representation of current market conditions 5. Market Condition Filtering - RSI-based trend strength filtering - ATR-based volatility filtering - Sideways market detection to avoid choppy conditions - Customizable filter combinations (ATR only, RSI only, both, or disabled) How to Use Initial Setup 1. **Select Asset Configuration**: Choose your trading pair from the "Strategies" dropdown menu 2. **Enable Strategy**: Enter "Alpha" in the code confirmation field 3. **Adjust Timeframe**: Match your chart timeframe to the selected strategy configuration Parameter Customization - **Trendline Settings**: Adjust amplitude and channel deviation for sensitivity - **TP/SL Method**: Choose between ATR-based or percentage-based targets - **Filtering Options**: Select appropriate market filters for your trading style - **Backtest Period**: Set the number of days for strategy testing (max 60) Signal Interpretation - **BUY/SELL Labels**: Primary entry signals based on trend changes - **Support/Resistance Zones**: Visual zones showing key price levels - **Dashboard**: Real-time display of position status, targets, and performance metrics Important Considerations Limitations and Warnings - **Backtesting Period**: Results shown are based on historical data from the specified backtest period - **No Guarantee**: Past performance does not guarantee future results - **Market Conditions**: Strategy performance varies with market volatility and trending conditions - **Repainting**: Some signals may repaint if "Wait For Confirmed Bar" is disabled Risk Warnings - The pre-configured settings are starting points and may require adjustment for current market conditions - Always use appropriate position sizing and risk management - Test thoroughly on demo accounts before live trading - Monitor and adjust parameters regularly as market dynamics change Technical Components Core Indicators Used - Modified trend detection with amplitude-based channels - RSI (Relative Strength Index) for momentum confirmation - ATR (Average True Range) for volatility measurement - Support/Resistance detection using pivot points - Bollinger Band variant for trend confirmation Alert Functionality The strategy includes comprehensive alert options for: - Entry signals (long and short) - Take profit levels (TP1, TP2, TP3, TP4) - Stop loss triggers - Integration with trading bots via webhook messages Recommended Usage Best Practices 1. Start with the pre-configured settings for your chosen asset 2. Run backtests over different time periods to verify performance 3. Use the dashboard to monitor real-time strategy performance 4. Adjust filters based on current market conditions 5. Always use stop losses and proper risk management Timeframe Recommendations - **Short-Term**: Use 5m, 15m configurations for scalping - **Mid-Term**: Use 30m, 45m configurations for day trading - **Long-Term**: Use 1h configurations for swing trading Updates and Support The strategy parameters are regularly reviewed and optimized. Users should periodically check for updates to ensure they have the latest configurations. Disclaimer This strategy is for educational and informational purposes only. Trading involves substantial risk of loss. Users should conduct their own research and consider their financial situation before trading. The author is not responsible for any trading losses incurred using this strategy.
Strategi Pine Script®
oleh DrFXGOD
4
顺序三连穿越：2/3先入 + 3/3加仓（仅低波动过滤）策略描述（中文） 本策略基于 顺序三连穿越 原则：当 MA5 依次上穿 MA10、MA30、MA60 时，触发趋势做多信号；反之依次下穿时触发做空信号。 在完成 2/3 穿越时即可先行入场，完成 3/3 穿越时可选择加仓确认。 为减少震荡磨损，策略引入了布林带带宽过滤：当市场波动率过低时禁止入场。同时设有 冷静期，避免刚出场后立即反复进场。 该系统适用于趋势性较强或弱趋势行情，能够较好地捕捉单边走势，但在长时间震荡行情中仍可能遭遇利润侵蚀。 Strategy Description (English) This strategy is built on the Sequential Triple Crossover principle: When the 5-period moving average (MA5) sequentially crosses above MA10, MA30, and MA60, a bullish entry is triggered. Conversely, when MA5 sequentially crosses below MA10, MA30, and MA60, a bearish entry is triggered. An early entry is allowed once 2 out of 3 crossovers are completed, while the final crossover (3/3) can optionally serve as a confirmation add-on position. To mitigate losses in choppy conditions, the system uses a Bollinger Bandwidth filter that blocks entries when volatility is too low. A cooldown period is also implemented to avoid immediate re-entries after closing a trade. This setup performs well in trending or weak-trend environments, capturing directional moves effectively, but may still suffer from profit erosion during prolonged sideways markets.
Strategi Pine Script®
oleh wuxiaolin2000
LeiRos PRO — Smart Entry & Target System⚡ Short Description LeiRos PRO is more than an indicator. It is an intelligent next-generation analytical tool designed to visualize the true trajectory of market movement. It reveals the hidden mechanics of price — the attraction points where liquidity is collected and extremes are updated before reversal. 🟢 During bullish phases, the market often reaches for previous highs. Green points of LeiRos PRO highlight the levels price is most likely to reach before completing the impulse. ⚪ In bearish phases, the market tends to sweep uncollected lows. White points indicate where stop hunts and local reversals commonly occur. Built upon the interaction of EMA20 / EMA50 / EMA200, volatility analysis and momentum strength, LeiRos PRO doesn’t just mark levels — it displays realistic targets price is drawn to with high probability. 📈 The higher the timeframe, the clearer and more stable the picture becomes. On H1 and above, the plotted points act as reference zones for those seeking structured, logical price behavior rather than noise. 💡 The main advantage of LeiRos PRO is clarity — it removes guessing. You see where price tends to move and where impulses are likely to end. This is not theory — it’s market behavior visualized. 📘 Full Description LeiRos PRO is a proprietary analytical tool created to precisely visualize directional bias, target zones, and protective stop areas. It combines trend structure, volatility, and price action logic — helping traders see the key areas where the market’s intent becomes clear. 📈 Core Features: Automatic trend detection: analyzes direction using EMA20, EMA50, and EMA200 to define the dominant side of the market. Target visualization (Take-Profit): marks potential liquidity-grab zones where price often completes its move. Protective stop zones (Stop-Loss): highlights areas where logical stops can be placed based on current structure. Adaptive to timeframe: higher timeframes provide cleaner and more reliable reference points, suitable for short-, medium-, and long-term analysis. ⚙️ Recommended Use: As a visual analytical tool for confirming trade direction. On lower TFs — for identifying intraday entry points and potential objectives. On higher TFs (H1 and above) — for building overall market context and defining major targets. Marked points are not entry signals, but contextual reference zones showing potential areas of liquidity collection or impulse completion. ⚠️ Disclaimer: LeiRos PRO is an analytical and visualization tool, not a trading signal or guarantee of results. All trading decisions, entries, exits, and risk management remain solely the responsibility of the user. ✳️ Note: This indicator is part of the LeiRos Project, which develops intelligent systems for advanced market analysis and visualization. Displayed levels adapt dynamically to volatility and timeframe, providing a flexible view of current market structure.
Strategi Pine Script®
oleh Veloria-PRO-Clien
Apex Squeeze Breakout Strategy (v1.0 by SKC)The Apex Squeeze Breakout Strategy is a powerful momentum-based system designed to capture explosive price moves following periods of low volatility compression (squeeze). It combines five key conditions to validate high-probability breakouts: 🔵 TTM Squeeze Detection using Bollinger Bands and Keltner Channels 🔊 Volume Spike Confirmation relative to a moving average 📈 Breakout Trigger above/below a recent high/low range 💪 Momentum Acceleration using percentage change over time ♻️ RSI Recovery / Overbought Logic to confirm shift in strength The strategy includes: Configurable swing/day trading modes Dynamic ATR-based Stop Loss and TP1/TP2 system Modular input structure for easy customization Clear entry/exit visual markers and trade zones It’s designed for disciplined traders who want to catch high-energy moves after consolidation, suitable for both intraday and swing setups.
Strategi Pine Script®
oleh samaun_khalid
Price Deviation StrategyThis strategy getting in long position only after the price drop The % of the drop is Determined by SMA for the first trade The inputs of SMA and % of the drop can be adjust from the User After that bot start taking safe trades if not take profit from the first trade The safe trades are Determined by step down deviation % and by quantity There is no Stop loss is not for one with small tolerance to getting under Take profit is average price + take profit - note if you use % trailing profit back test is not realistic but is working on real time Max Safe Trades = 15 Capital max = $30000 Doge-USDT is just a example What the Strategy Can do Green line - take profit Black line - Brake even with fee - adjust for exchange
Strategi Pine Script®
oleh fullmax
6
RSI Momentum ScalperOverview The "RSI Momentum Scalper" is a Pine Script v5 strategy crafted for trading highly volatile markets, with a special focus on newly listed cryptocurrencies. This strategy harnesses the Relative Strength Index (RSI) alongside volume analysis and momentum thresholds to pinpoint short-term trading opportunities. It supports both long and short trades, managed with customizable take profit, stop loss, and trailing stop levels, which are visually plotted on the chart for easy tracking. Why I Created This Strategy I developed the "RSI Momentum Scalper" because I was seeking a reliable trading strategy tailored to newly listed, highly volatile cryptocurrencies. These assets often experience rapid price fluctuations, rendering traditional strategies less effective. I aimed to create a tool that could exploit momentum and volume spikes while managing risk through adaptable exit parameters. This strategy is designed to address that need, offering a flexible approach for traders in dynamic crypto markets. How It Works The strategy utilizes RSI to identify momentum shifts, combined with volume confirmation, to trigger long or short entries. Trades are controlled with take profit, stop loss, and trailing stop levels, which adjust dynamically as the price moves in your favor. The trailing stop helps lock in profits, while the plotted exit levels provide clear visual cues for trade management. Customizable Settings The script is highly customizable, allowing you to adjust it to various market conditions and trading styles. Here’s a brief overview of the key settings: Trade Mode: Select "Both," "Long Only," or "Short Only" to determine the trade direction. (Default: Both) RSI Length: Sets the lookback period for the RSI calculation (2 to 30). (Default: 8) A shorter length increases RSI sensitivity, suitable for volatile assets. RSI Overbought: Defines the upper RSI threshold (60 to 99) for short entries. (Default: 90) Higher values signal stronger overbought conditions. RSI Oversold: Defines the lower RSI threshold (1 to 40) for long entries. (Default: 10) Lower values indicate stronger oversold conditions. RSI Momentum Threshold: Sets the minimum RSI momentum change (1 to 15) to trigger entries. (Default: 14) Adjusts the sensitivity to price momentum. Volume Multiplier: Multiplies the volume moving average to filter high-volume bars (1.0 to 3.0). (Default: 1) Higher values require stronger volume confirmation. Volume MA Length: Sets the lookback period for the volume moving average (5 to 50). (Default: 13) Influences the volume trend sensitivity. Take Profit %: Sets the profit target as a percentage of the entry price (0.1 to 10.0). (Default: 4.15) Determines when to close a winning trade. Stop Loss %: Sets the loss limit as a percentage of the entry price (0.1 to 6.0). (Default: 1.85) Protects against significant losses. Trailing Stop %: Sets the trailing stop distance as a percentage (0.1 to 4.0). (Default: 2.55) Locks in profits as the price moves favorably. Visual Features Exit Levels: Take profit (green), fixed stop loss (red), and trailing stop (orange) levels are plotted when in a position. Performance Table: Displays win rate, total trades, and net profit in the top-right corner. How to Use Add the strategy to your chart in TradingView. Adjust the input settings based on the cryptocurrency and timeframe you’re trading. Monitor the plotted exit levels for trade management. Use the performance table to assess the strategy’s performance over time. Notes Test the strategy on a demo account or with historical data before live trading. The strategy is optimized for short-term scalping; adjust settings for longer timeframes if needed.
Strategi Pine Script®
oleh MonkeyPhone
Order Block Volumatic FVG StrategyInspired by: Volumatic Fair Value Gaps — License: CC BY-NC-SA 4.0 (Creative Commons Attribution–NonCommercial–ShareAlike). This script is a non-commercial derivative work that credits the original author and keeps the same license. What this strategy does This turns BigBeluga’s visual FVG concept into an entry/exit strategy. It scans bullish and bearish FVG boxes, measures how deep price has mitigated into a box (as a percentage), and opens a long/short when your mitigation threshold and filters are satisfied. Risk is managed with a fixed Stop Loss % and a Trailing Stop that activates only after a user-defined profit trigger. Additions vs. the original indicator ✅ Strategy entries based on % mitigation into FVGs (long/short). ✅ Lower-TF volume split using upticks/downticks; fallback if LTF data is missing (distributes prior bar volume by close’s position in its H–L range) to avoid NaN/0. ✅ Per-FVG total volume filter (min/max) so you can skip weak boxes. ✅ Age filter (min bars since the FVG was created) to avoid fresh/immature boxes. ✅ Bull% / Bear% share filter (the 46%/53% numbers you see inside each FVG). ✅ Optional candle confirmation and cooldown between trades. ✅ Risk management: fixed SL % + Trailing Stop with a profit trigger (doesn’t trail until your trigger is reached). ✅ Pine v6 safety: no unsupported args, no indexof/clamp/when, reverse-index deletes, guards against zero/NaN. How a trade is decided (logic overview) Detect FVGs (same rules as the original visual logic). For each FVG currently intersected by the bar, compute: Mitigation % (how deep price has entered the box). Bull%/Bear% split (internal volume share). Total volume (printed on the box) from LTF aggregation or fallback. Age (bars) since the box was created. Apply your filters: Mitigation ≥ Long/Short threshold. Volume between your min and max (if enabled). Age ≥ min bars (if enabled). Bull% / Bear% within your limits (if enabled). (Optional) the current candle must be in trade direction (confirm). If multiple FVGs qualify on the same bar, the strategy uses the most recent one. Enter long/short (no pyramiding). Exit with: Fixed Stop Loss %, and Trailing Stop that only starts after price reaches your profit trigger %. Input settings (quick guide) Mitigation source: close or high/low. Use high/low for intrabar touches; close is stricter. Mitigation % thresholds: minimal mitigation for Long and Short. TOTAL Volume filter: skip FVGs with too little/too much total volume (per box). Bull/Bear share filter: require, e.g., Long only if Bull% ≥ 50; avoid Short when Bull% is high (Short Bull% max). Age filter (bars): e.g., ≥ 20–30 bars to avoid fresh boxes. Confirm candle: require candle direction to match the trade. Cooldown (bars): minimum bars between entries. Risk: Stop Loss % (fixed from entry price). Activate trailing at +% profit (the trigger). Trailing distance % (the trailing gap once active). Lower-TF aggregation: Auto: TF/Divisor → picks 1/3/5m automatically. Fixed: choose 1/3/5/15m explicitly. If LTF can’t be fetched, fallback allocates prior bar’s volume by its close position in the bar’s H–L. Suggested starting presets (you should optimize per market) Mitigation: 60–80% for both Long/Short. Bull/Bear share: Long: Bull% ≥ 50–70, Bear% ≤ 100. Short: Bull% ≤ 60 (avoid shorting into strong support), Bear% ≥ 0–70 as you prefer. Age: ≥ 20–30 bars. Volume: pick a min that filters noise for your symbol/timeframe. Risk: SL 4–6%, trailing trigger 1–2%, distance 1–2% (crypto example). Set slippage/fees in Strategy Properties. Notes, limitations & best practices Data differences: The LTF split uses request.security_lower_tf. If the exchange/data feed has sparse LTF data, the fallback kicks in (it’s deliberate to avoid NaNs but is a heuristic). Real-time vs backtest: The current bar can update until close; results on historical bars use closed data. Use “Bar Replay” to understand intrabar effects. No pyramiding: Only one position at a time. Modify pyramiding in the header if you need scaling. Assets: For spot/crypto, TradingView “volume” is exchange volume; in some markets it may be tick volume—interpret filters accordingly. Risk disclosure: Past performance ≠ future results. Use appropriate position sizing and risk controls; this is not financial advice. Credits Visual FVG concept and original implementation: BigBeluga. This derivative strategy adds entry/exit logic, volume/age/share filters, robust LTF handling, and risk management while preserving the original spirit. License remains CC BY-NC-SA 4.0 (non-commercial, attribution required, share-alike).
Strategi Pine Script®
oleh TagsTrading
Elliott Wave Auto + Fib Targets + Scalper Strategy (Fixed)// Elliott Wave Auto + Fib Targets + Scalper Strategy // // Fixed by expert trader: // - Replaced table with label-based visualization to avoid 'Column 2 is out of table bounds' error. // - Uses label.new to display buy/sell signal counts in top-right corner, mimicking table layout. // - Fixed array.sum() error: Replaced invalid range-based array.sum() with custom sum_array_range() function. // - Removed barstate usage to fix 'Undeclared identifier barstate' error. // - Replaced barstate.isconfirmed with true (process every bar). // - Replaced barstate.isfirstconfirmed with bar_index == 0 (first bar). // - Replaced strategy.alert with label.new for long/short entry signals (buy/sell markers). // - Fixed array index out-of-bounds: Protected array.get() calls with size checks. // - Fixed pyramiding: Set constant pyramiding=4 (max 5 entries); use allow_pyramiding to limit entries. // - Fixed default_qty_value: Set constant default_qty_value=100.0; use entry_size_pct to scale qty. // - Replaced alertcondition with labels for Elliott Wave patterns. // - Fixed partial exits: 50% at TP1 with fixed SL, 50% at TP2 with fixed SL or trailing. // - Fixed Elliott Wave pivot indexing for alternating H/L check. // - Ensured proper position sizing and exit logic.
Strategi Pine Script®
oleh shravanreddy0808
2
BOCS Channel Scalper Strategy - Automated Mean Reversion System# BOCS Channel Scalper Strategy - Automated Mean Reversion System ## WHAT THIS STRATEGY DOES: This is an automated mean reversion trading strategy that identifies consolidation channels through volatility analysis and executes scalp trades when price enters entry zones near channel boundaries. Unlike breakout strategies, this system assumes price will revert to the channel mean, taking profits as price bounces back from extremes. Position sizing is fully customizable with three methods: fixed contracts, percentage of equity, or fixed dollar amount. Stop losses are placed just outside channel boundaries with take profits calculated either as fixed points or as a percentage of channel range. ## KEY DIFFERENCE FROM ORIGINAL BOCS: **This strategy is designed for traders seeking higher trade frequency.** The original BOCS indicator trades breakouts OUTSIDE channels, waiting for price to escape consolidation before entering. This scalper version trades mean reversion INSIDE channels, entering when price reaches channel extremes and betting on a bounce back to center. The result is significantly more trading opportunities: - **Original BOCS**: 1-3 signals per channel (only on breakout) - **Scalper Version**: 5-15+ signals per channel (every touch of entry zones) - **Trade Style**: Mean reversion vs trend following - **Hold Time**: Seconds to minutes vs minutes to hours - **Best Markets**: Ranging/choppy conditions vs trending breakouts This makes the scalper ideal for active day traders who want continuous opportunities within consolidation zones rather than waiting for breakout confirmation. However, increased trade frequency also means higher commission costs and requires tighter risk management. ## TECHNICAL METHODOLOGY: ### Price Normalization Process: The strategy normalizes price data to create consistent volatility measurements across different instruments and price levels. It calculates the highest high and lowest low over a user-defined lookback period (default 100 bars). Current close price is normalized using: (close - lowest_low) / (highest_high - lowest_low), producing values between 0 and 1 for standardized volatility analysis. ### Volatility Detection: A 14-period standard deviation is applied to the normalized price series to measure price deviation from the mean. Higher standard deviation values indicate volatility expansion; lower values indicate consolidation. The strategy uses ta.highestbars() and ta.lowestbars() to identify when volatility peaks and troughs occur over the detection period (default 14 bars). ### Channel Formation Logic: When volatility crosses from a high level to a low level (ta.crossover(upper, lower)), a consolidation phase begins. The strategy tracks the highest and lowest prices during this period, which become the channel boundaries. Minimum duration of 10+ bars is required to filter out brief volatility spikes. Channels are rendered as box objects with defined upper and lower boundaries, with colored zones indicating entry areas. ### Entry Signal Generation: The strategy uses immediate touch-based entry logic. Entry zones are defined as a percentage from channel edges (default 20%): - **Long Entry Zone**: Bottom 20% of channel (bottomBound + channelRange × 0.2) - **Short Entry Zone**: Top 20% of channel (topBound - channelRange × 0.2) Long signals trigger when candle low touches or enters the long entry zone. Short signals trigger when candle high touches or enters the short entry zone. This captures mean reversion opportunities as price reaches channel extremes. ### Cooldown Filter: An optional cooldown period (measured in bars) prevents signal spam by enforcing minimum spacing between consecutive signals. If cooldown is set to 3 bars, no new long signal will fire until 3 bars after the previous long signal. Long and short cooldowns are tracked independently, allowing both directions to signal within the same period. ### ATR Volatility Filter: The strategy includes a multi-timeframe ATR filter to avoid trading during low-volatility conditions. Using request.security(), it fetches ATR values from a specified timeframe (e.g., 1-minute ATR while trading on 5-minute charts). The filter compares current ATR to a user-defined minimum threshold: - If ATR ≥ threshold: Trading enabled - If ATR < threshold: No signals fire This prevents entries during dead zones where mean reversion is unreliable due to insufficient price movement. ### Take Profit Calculation: Two TP methods are available: **Fixed Points Mode**: - Long TP = Entry + (TP_Ticks × syminfo.mintick) - Short TP = Entry - (TP_Ticks × syminfo.mintick) **Channel Percentage Mode**: - Long TP = Entry + (ChannelRange × TP_Percent) - Short TP = Entry - (ChannelRange × TP_Percent) Default 50% targets the channel midline, a natural mean reversion target. Larger percentages aim for opposite channel edge. ### Stop Loss Placement: Stop losses are placed just outside the channel boundary by a user-defined tick offset: - Long SL = ChannelBottom - (SL_Offset_Ticks × syminfo.mintick) - Short SL = ChannelTop + (SL_Offset_Ticks × syminfo.mintick) This logic assumes channel breaks invalidate the mean reversion thesis. If price breaks through, the range is no longer valid and position exits. ### Trade Execution Logic: When entry conditions are met (price in zone, cooldown satisfied, ATR filter passed, no existing position): 1. Calculate entry price at zone boundary 2. Calculate TP and SL based on selected method 3. Execute strategy.entry() with calculated position size 4. Place strategy.exit() with TP limit and SL stop orders 5. Update info table with active trade details The strategy enforces one position at a time by checking strategy.position_size == 0 before entry. ### Channel Breakout Management: Channels are removed when price closes more than 10 ticks outside boundaries. This tolerance prevents premature channel deletion from minor breaks or wicks, allowing the mean reversion setup to persist through small boundary violations. ### Position Sizing System: Three methods calculate position size: **Fixed Contracts**: - Uses exact contract quantity specified in settings - Best for futures traders (e.g., "trade 2 NQ contracts") **Percentage of Equity**: - position_size = (strategy.equity × equity_pct / 100) / close - Dynamically scales with account growth **Cash Amount**: - position_size = cash_amount / close - Maintains consistent dollar exposure regardless of price ## INPUT PARAMETERS: ### Position Sizing: - **Position Size Type**: Choose Fixed Contracts, % of Equity, or Cash Amount - **Number of Contracts**: Fixed quantity per trade (1-1000) - **% of Equity**: Percentage of account to allocate (1-100%) - **Cash Amount**: Dollar value per position ($100+) ### Channel Settings: - **Nested Channels**: Allow multiple overlapping channels vs single channel - **Normalization Length**: Lookback for high/low calculation (1-500, default 100) - **Box Detection Length**: Period for volatility detection (1-100, default 14) ### Scalping Settings: - **Enable Long Scalps**: Toggle long entries on/off - **Enable Short Scalps**: Toggle short entries on/off - **Entry Zone % from Edge**: Size of entry zone (5-50%, default 20%) - **SL Offset (Ticks)**: Distance beyond channel for stop (1+, default 5) - **Cooldown Period (Bars)**: Minimum spacing between signals (0 = no cooldown) ### ATR Filter: - **Enable ATR Filter**: Toggle volatility filter on/off - **ATR Timeframe**: Source timeframe for ATR (1, 5, 15, 60 min, etc.) - **ATR Length**: Smoothing period (1-100, default 14) - **Min ATR Value**: Threshold for trade enablement (0.1+, default 10.0) ### Take Profit Settings: - **TP Method**: Choose Fixed Points or % of Channel - **TP Fixed (Ticks)**: Static distance in ticks (1+, default 30) - **TP % of Channel**: Dynamic target as channel percentage (10-100%, default 50%) ### Appearance: - **Show Entry Zones**: Toggle zone labels on channels - **Show Info Table**: Display real-time strategy status - **Table Position**: Corner placement (Top Left/Right, Bottom Left/Right) - **Color Settings**: Customize long/short/TP/SL colors ## VISUAL INDICATORS: - **Channel boxes** with semi-transparent fill showing consolidation zones - **Colored entry zones** labeled "LONG ZONE ▲" and "SHORT ZONE ▼" - **Entry signal arrows** below/above bars marking long/short entries - **Active TP/SL lines** with emoji labels (⊕ Entry, 🎯 TP, 🛑 SL) - **Info table** showing position status, channel state, last signal, entry/TP/SL prices, and ATR status ## HOW TO USE: ### For 1-3 Minute Scalping (NQ/ES): - ATR Timeframe: "1" (1-minute) - ATR Min Value: 10.0 (for NQ), adjust per instrument - Entry Zone %: 20-25% - TP Method: Fixed Points, 20-40 ticks - SL Offset: 5-10 ticks - Cooldown: 2-3 bars - Position Size: 1-2 contracts ### For 5-15 Minute Day Trading: - ATR Timeframe: "5" or match chart - ATR Min Value: Adjust to instrument (test 8-15 for NQ) - Entry Zone %: 20-30% - TP Method: % of Channel, 40-60% - SL Offset: 5-10 ticks - Cooldown: 3-5 bars - Position Size: Fixed contracts or 5-10% equity ### For 30-60 Minute Swing Scalping: - ATR Timeframe: "15" or "30" - ATR Min Value: Lower threshold for broader market - Entry Zone %: 25-35% - TP Method: % of Channel, 50-70% - SL Offset: 10-15 ticks - Cooldown: 5+ bars or disable - Position Size: % of equity recommended ## BACKTEST CONSIDERATIONS: - Strategy performs best in ranging, mean-reverting markets - Strong trending markets produce more stop losses as price breaks channels - ATR filter significantly reduces trade count but improves quality during low volatility - Cooldown period trades signal quantity for signal quality - Commission and slippage materially impact sub-5-minute timeframe performance - Shorter timeframes require tighter entry zones (15-20%) to catch quick reversions - % of Channel TP adapts better to varying channel sizes than fixed points - Fixed contract sizing recommended for consistent risk per trade in futures **Backtesting Parameters Used**: This strategy was developed and tested using realistic commission and slippage values to provide accurate performance expectations. Recommended settings: Commission of $1.40 per side (typical for NQ futures through discount brokers), slippage of 2 ticks to account for execution delays on fast-moving scalp entries. These values reflect real-world trading costs that active scalpers will encounter. Backtest results without proper cost simulation will significantly overstate profitability. ## COMPATIBLE MARKETS: Works on any instrument with price data including stock indices (NQ, ES, YM, RTY), individual stocks, forex pairs (EUR/USD, GBP/USD), cryptocurrency (BTC, ETH), and commodities. Volume-based features require data feed with volume information but are optional for core functionality. ## KNOWN LIMITATIONS: - Immediate touch entry can fire multiple times in choppy zones without adequate cooldown - Channel deletion at 10-tick breaks may be too aggressive or lenient depending on instrument tick size - ATR filter from lower timeframes requires higher-tier TradingView subscription (request.security limitation) - Mean reversion logic fails in strong breakout scenarios leading to stop loss hits - Position sizing via % of equity or cash amount calculates based on close price, may differ from actual fill price - No partial closing capability - full position exits at TP or SL only - Strategy does not account for gap openings or overnight holds ## RISK DISCLOSURE: Trading involves substantial risk of loss. Past performance does not guarantee future results. This strategy is for educational purposes and backtesting only. Mean reversion strategies can experience extended drawdowns during trending markets. Stop losses may not fill at intended levels during extreme volatility or gaps. Thoroughly test on historical data and paper trade before risking real capital. Use appropriate position sizing and never risk more than you can afford to lose. Consider consulting a licensed financial advisor before making trading decisions. Automated trading systems can malfunction - monitor all live positions actively. ## ACKNOWLEDGMENT & CREDITS: This strategy is built upon the channel detection methodology created by **AlgoAlpha** in the "Smart Money Breakout Channels" indicator. Full credit and appreciation to AlgoAlpha for pioneering the normalized volatility approach to identifying consolidation patterns. The core channel formation logic using normalized price standard deviation is AlgoAlpha's original contribution to the TradingView community. Enhancements to the original concept include: mean reversion entry logic (vs breakout), immediate touch-based signals, multi-timeframe ATR volatility filtering, flexible position sizing (fixed/percentage/cash), cooldown period filtering, dual TP methods (fixed points vs channel percentage), automated strategy execution with exit management, and real-time position monitoring table.
Strategi Pine Script®
oleh TradeManager_PRO
KD The ScalperWe have to take the trade when all three EMAs are pointing in the same direction (no criss-cross, no up/down, sideways). All 3 EMAs should be cleanly separated from each other with strong spacing between them; they are not tangled, sideways, or messy. This is our first filter before entering the trade. Are the EMAs stacked neatly, and is the price outside of the 25 EMA? If price pulls back and closes near or below the 25 or 50 EMA and breaks the 100 EMA, we don't trade. Use the 100 EMA as a safety net and refrain from trading if the price touches or falls below the 100 EMA. 1. Confirm the trend- All 3 EMAs must align, and they must spread 2. Watch price pull back to the 25th or the 50 EMA 3. Wait for the price to bounce - And re-approach the 25 EMA Why is this powerful? Removes 80% of the low-probability Trades It keeps you out of choppy markets Avoids Reversal Traps Anchors us to momentum We take the entry when the price moves up again and touches the 25 EMA from below, and then when it breaks above the 25 EMA, or even better, when a lovely green bullish candle forms. A bullish candle indicates good momentum. When a bullish candle closes in green, it means the momentum has increased significantly. This is when we enter a long trade, with the stop-loss just below the 50 EMA and the profit target being 1.5 times the stop-loss. The same rule applies to the bearish trade.
Strategi Pine Script®
oleh krish16887
1
NQ Opening Range BreakoutOpening Range Breakout script with: Customizable opening range timeframe selection. Inputs for Risk to Reward ratio, EMAs, Vwap, and ATR sizing to avoid ranges that are too big or too small. Features a toggle for reversal trades that when enabled will trade the other direction if the initial ORB gets stopped out. Default it will use the entire opening range to determine stop loss and take profit and if neither the take profit or stop loss is hit it will end the trade at 16:00. There are toggles to use half the opening range as the stop loss and take profit will then be calculated as risk reward ratio * stop loss or you can select entry candle stop loss and risk reward ratio which places the stop loss at the entry candles opening price. There is also a take profit option that will only exit the trade when price closes below (for longs) or above (for shorts) a customizable ema length. Note that if you have the opening range, for example, selected as 9:30 - 9:45 and are on a 5 minute chart it will enter on the first 5 min closure outside of that range and if you are on a 15 minute chart it will enter on the first 15 min closure outside of that range and so on. You can automate the entries and exits by using a webhook service and using the strategy’s alerts.
Strategi Pine Script®
oleh blinkzssss
BTC Momentum Strategy - RSI & Stoch RSI Entry and EMA ExitBTC Momentum Strategy: RSI & Stoch RSI Entry with EMA Exit This strategy is designed to identify potentially strong entry points for Bitcoin (BTC) during periods of shifting momentum and then ride the trend until it shows signs of weakness. It's a straightforward, long-only strategy, meaning it only looks for opportunities to buy and then sell for a profit. How It Works: The strategy combines a few classic indicators to make its decisions. Think of it as a two-step confirmation system for buying, with a simple rule for selling. 1. The Buy Signal (Green Triangle) To generate a buy signal, the strategy looks for two things to happen at the same time: RSI Confirmation: It first waits for the Relative Strength Index (RSI) to show signs of bullish momentum. Specifically, it's looking for the RSI line to cross above its own moving average, suggesting that strength is starting to build from a lower level. This helps catch moves as they begin to turn positive. Stochastic RSI Confirmation: As an extra layer of confirmation, it also checks the Stochastic RSI. This helps filter out weaker signals and confirm that momentum is truly shifting upwards from an oversold or "bottomed-out" condition. When both of these conditions are met, a green "buy" triangle will appear below the candle, and the strategy will enter a long position. 2. The Sell Signal (Red Triangle) The exit rule is simple and designed to let your winners run while protecting you when the trend reverses. * EMA-Based Exit: The strategy plots an orange line on your chart, which is an Exponential Moving Average (EMA). The strategy will hold the position as long as the price stays above this line. If a candle closes *below* the orange EMA line, it's taken as a sign that the short-term trend is weakening, and the strategy will close the position to lock in profits or cut losses. A red "sell" triangle will appear above that candle. Best Use: This strategy was built with Bitcoin in mind and tends to perform best on higher timeframes like the Weekly charts. It aims to capture major swings rather than small, quick scalps. You can adjust all the settings for the RSI, Stochastic RSI, and the Exit EMA to fine-tune the strategy to your own trading style.
Strategi Pine Script®
oleh dasacortado