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Quantum Flux Universal Strategy Summary in one paragraph Quantum Flux Universal is a regime switching strategy for stocks, ETFs, index futures, major FX pairs, and liquid crypto on intraday and swing timeframes. It helps you act only when the normalized core signal and its guide agree on direction. It is original because the engine fuses three adaptive drivers into the smoothing gains itself. Directional intensity is measured with binary entropy, path efficiency shapes trend quality, and a volatility squash preserves contrast. Add it to a clean chart, watch the polarity lane and background, and trade from positive or negative alignment. For conservative workflows use on bar close in the alert settings when you add alerts in a later version. Scope and intent • Markets. Large cap equities and ETFs. Index futures. Major FX pairs. Liquid crypto • Timeframes. One minute to daily • Default demo used in the publication. QQQ on one hour • Purpose. Provide a robust and portable way to detect when momentum and confirmation align, while dampening chop and preserving turns • Limits. This is a strategy. Orders are simulated on standard candles only Originality and usefulness • Unique concept or fusion. The novelty sits in the gain map. Instead of gating separate indicators, the model mixes three drivers into the adaptive gains that power two one pole filters. Directional entropy measures how one sided recent movement has been. Kaufman style path efficiency scores how direct the path has been. A volatility squash stabilizes step size. The drivers are blended into the gains with visible inputs for strength, windows, and clamps. • What failure mode it addresses. False starts in chop and whipsaw after fast spikes. Efficiency and the squash reduce over reaction in noise. • Testability. Every component has an input. You can lengthen or shorten each window and change the normalization mode. The polarity plot and background provide a direct readout of state. • Portable yardstick. The core is normalized with three options. Z score, percent rank mapped to a symmetric range, and MAD based Z score. Clamp bounds define the effective unit so context transfers across symbols. Method overview in plain language The strategy computes two smoothed tracks from the chart price source. The fast track and the slow track use gains that are not fixed. Each gain is modulated by three drivers. A driver for directional intensity, a driver for path efficiency, and a driver for volatility. The difference between the fast and the slow tracks forms the raw flux. A small phase assist reduces lag by subtracting a portion of the delayed value. The flux is then normalized. A guide line is an EMA of a small lead on the flux. When the flux and its guide are both above zero, the polarity is positive. When both are below zero, the polarity is negative. Polarity changes create the trade direction. Base measures • Return basis. The step is the change in the chosen price source. Its absolute value feeds the volatility estimate. Mean absolute step over the window gives a stable scale. • Efficiency basis. The ratio of net move to the sum of absolute step over the window gives a value between zero and one. High values mean trend quality. Low values mean chop. • Intensity basis. The fraction of up moves over the window plugs into binary entropy. Intensity is one minus entropy, which maps to zero in uncertainty and one in very one sided moves. Components • Directional Intensity. Measures how one sided recent bars have been. Smoothed with RMA. More intensity increases the gain and makes the fast and slow tracks react sooner. • Path Efficiency. Measures the straightness of the price path. A gamma input shapes the curve so you can make trend quality count more or less. Higher efficiency lifts the gain in clean trends. • Volatility Squash. Normalizes the absolute step with Z score then pushes it through an arctangent squash. This caps the effect of spikes so they do not dominate the response. • Normalizer. Three modes. Z score for familiar units, percent rank for a robust monotone map to a symmetric range, and MAD based Z for outlier resistance. • Guide Line. EMA of the flux with a small lead term that counteracts lag without heavy overshoot. Fusion rule • Weighted sum of the three drivers with fixed weights visible in the code comments. Intensity has fifty percent weight. Efficiency thirty percent. Volatility twenty percent. • The blend power input scales the driver mix. Zero means fixed spans. One means full driver control. • Minimum and maximum gain clamps bound the adaptive gain. This protects stability in quiet or violent regimes. Signal rule • Long suggestion appears when flux and guide are both above zero. That sets polarity to plus one. • Short suggestion appears when flux and guide are both below zero. That sets polarity to minus one. • When polarity flips from plus to minus, the strategy closes any long and enters a short. • When flux crosses above the guide, the strategy closes any short. What you will see on the chart • White polarity plot around the zero line • A dotted reference line at zero named Zen • Green background tint for positive polarity and red background tint for negative polarity • Strategy long and short markers placed by the TradingView engine at entry and at close conditions • No table in this version to keep the visual clean and portable Inputs with guidance Setup • Price source. Default ohlc4. Stable for noisy symbols. • Fast span. Typical range 6 to 24. Raising it slows the fast track and can reduce churn. Lowering it makes entries more reactive. • Slow span. Typical range 20 to 60. Raising it lengthens the baseline horizon. Lowering it brings the slow track closer to price. Logic • Guide span. Typical range 4 to 12. A small guide smooths without eating turns. • Blend power. Typical range 0.25 to 0.85. Raising it lets the drivers modulate gains more. Lowering it pushes behavior toward fixed EMA style smoothing. • Vol window. Typical range 20 to 80. Larger values calm the volatility driver. Smaller values adapt faster in intraday work. • Efficiency window. Typical range 10 to 60. Larger values focus on smoother trends. Smaller values react faster but accept more noise. • Efficiency gamma. Typical range 0.8 to 2.0. Above one increases contrast between clean trends and chop. Below one flattens the curve. • Min alpha multiplier. Typical range 0.30 to 0.80. Lower values increase smoothing when the mix is weak. • Max alpha multiplier. Typical range 1.2 to 3.0. Higher values shorten smoothing when the mix is strong. • Normalization window. Typical range 100 to 300. Larger values reduce drift in the baseline. • Normalization mode. Z score, percent rank, or MAD Z. Use MAD Z for outlier heavy symbols. • Clamp level. Typical range 2.0 to 4.0. Lower clamps reduce the influence of extreme runs. Filters • Efficiency filter is implicit in the gain map. Raising efficiency gamma and the efficiency window increases the preference for clean trends. • Micro versus macro relation is handled by the fast and slow spans. Increase separation for swing, reduce for scalping. • Location filter is not included in v1.0. If you need distance gates from a reference such as VWAP or a moving mean, add them before publication of a new version. Alerts • This version does not include alertcondition lines to keep the core minimal. If you prefer alerts, add names Long Polarity Up, Short Polarity Down, Exit Short on Flux Cross Up in a later version and select on bar close for conservative workflows. Strategy has been currently adapted for the QQQ asset with 30/60min timeframe. For other assets may require new optimization Properties visible in this publication • Initial capital 25000 • Base currency Default • Default order size method percent of equity with value 5 • Pyramiding 1 • Commission 0.05 percent • Slippage 10 ticks • Process orders on close ON • Bar magnifier ON • Recalculate after order is filled OFF • Calc on every tick OFF Honest limitations and failure modes • Past results do not guarantee future outcomes • Economic releases, circuit breakers, and thin books can break the assumptions behind intensity and efficiency • Gap heavy symbols may benefit from the MAD Z normalization • Very quiet regimes can reduce signal contrast. Use longer windows or higher guide span to stabilize context • Session time is the exchange time of the chart • If both stop and target can be hit in one bar, tie handling would matter. This strategy has no fixed stops or targets. It uses polarity flips for exits. If you add stops later, declare the preference Open source reuse and credits • None beyond public domain building blocks and Pine built ins such as EMA, SMA, standard deviation, RMA, and percent rank • Method and fusion are original in construction and disclosure Legal Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs. Strategy add on block Strategy notice Orders are simulated by the TradingView engine on standard candles. No request.security() calls are used. Entries and exits • Entry logic. Enter long when both the normalized flux and its guide line are above zero. Enter short when both are below zero • Exit logic. When polarity flips from plus to minus, close any long and open a short. When the flux crosses above the guide line, close any short • Risk model. No initial stop or target in v1.0. The model is a regime flipper. You can add a stop or trail in later versions if needed • Tie handling. Not applicable in this version because there are no fixed stops or targets Position sizing • Percent of equity in the Properties panel. Five percent is the default for examples. Risk per trade should not exceed five to ten percent of equity. One to two percent is a common choice Properties used on the published chart • Initial capital 25000 • Base currency Default • Default order size percent of equity with value 5 • Pyramiding 1 • Commission 0.05 percent • Slippage 10 ticks • Process orders on close ON • Bar magnifier ON • Recalculate after order is filled OFF • Calc on every tick OFF Dataset and sample size • Test window Jan 2, 2014 to Oct 16, 2025 on QQQ one hour • Trade count in sample 324 on the example chart Release notes template for future updates Version 1.1. • Add alertcondition lines for long, short, and exit short • Add optional table with component readouts • Add optional stop model with a distance unit expressed as ATR or a percent of price Notes. Backward compatibility Yes. Inputs migrated Yes.
Pine Script® strategy
by exlux
Kz GC1! ORBStrategy that trades breakouts on GC1! futures on the 5min timeframe. It also works on MGC1! for lower drawdown and to manage Apex and Top Step accounts with the lower risk. Risk Disclaimer: Past results as well as strategy tester reports do not indicate future performance. Guarantees do not exist in trading. By using this strategy you risk losing all your money. Important: It trades all days that markets are open. Set times may be seen on settings. Trades multiple times a day sometimes. It works on the 5 and 15min timeframe only. Results are better on 5min timeframe. The settings are optimized already for GC1! on the 5min timeframe. How it works: Every trading day it measures the range of the first 15min candle of pre-selected hours. As soon as price closes above or below on the 15min timeframe, it will trade the breakout targeting a set risk to reward ratio. SL on the opposite side of the range. Settings: Hourly Trading Hours: These are the times that worked best for this strategy. All boxes should be checked for best results. Excluded times were when it performed bad which is why those times have been left out. ORB Formation Period: This setting determines on which timeframe candle has to close outside the opening range box in order to take a trade. It's set to 15min by default because this is what worked by far the best Entry Type: Entries are immediate instead of waiting for a pull back to enter on a limit order. Limit Orders: If enabled, the strategy will place a pending order x points from the current price, instead of a market order. Immediate orders are enabled by default for a better performance. Important: It doesn't actually place a limit order. The strategy will just wait for a pullback and then enter with a market order. It's more like a hidden limit order. Limit Order Offset Points: If you have limit orders enabled, this setting determines how many points from the current price the limit order will be placed. FVG Detection Type: How fast it detects the fair value gaps. Standard detection over immediate had better performance Risk Type: You can chose either between Fixed USD Amount, Risk per Trade in % or Fixed Contract Size. By default it's set to fixed contract size. Risk Amount (USD or Contracts): This setting is to set how many USD or how many contracts you want to risk per trade. Make sure to check which risk type you have selected before you choose the risk amount. Take Profit Multiplier: This is simply the total SL size in points multiplied by x. Example: If you put 2, you get a 2:1 Risk to Reward Ratio. By Default it's set to 2.5 because this gave the best results in backtests. Stop Loss Padding: This is simply the buffer in points that is added to the SL for safety reasons. If you have it on 0, the SL will be at the exact price of the opposite side of the range. By default it's set to 5 because this is what delivered the best results in backtests. Stop Loss Placement: This determines where the stop loss gets placed for the order. It has been set to ORB Range by default as this delivered the best results. Max Trades Per Hour: This allows the user to decide how many trades are taken an hour. 1 is been set to default for best results Visual Settings: Check boxes to show orb range, FVG's, Entry points, and trade visualization boxes. Backtest Settings: For the backtest the commissions were set to 1.29USD per contract and .35USD for micros which is the highest amount Tradovate charges Margin was not accounted for because typically on prop accounts you can use way more contracts than you need for the extremely low max drawdown. Margin would be important on personal accounts but even there typically it's not an issue at all especially because this strategy runs on the 15min timeframe so it won't use a lot of contracts anyways. Why the source code is hidden: The source code is hidden because I invested a lot of time and money into developing this strategy and optimizing it with paid 3rd party software.
Pine Script® strategy
by Kuhmanderz
Extremum Range MA Crossover Strategy1. Principle of Work & Strategy Logic ⚙️📈 Main idea: The strategy tries to catch the moment of a breakout from a price consolidation range (flat) and the start of a new trend. It combines two key elements: Moving Average (MA) 📉: Acts as a dynamic support/resistance level and trend filter. Range Extremes (Range High/Low) 🔺🔻: Define the borders of the recent price channel or consolidation. The strategy does not attempt to catch absolute tops and bottoms. Instead, it enters an already formed move after the breakout, expecting continuation. Type: Trend-following, momentum-based. Timeframes: Works on different TFs (H1, H4, D), but best suited for H4 and higher, where breakouts are more meaningful. 2. Justification of Indicators & Settings ⚙️ A. Moving Average (MA) 📊 Why used: Core of the strategy. It smooths price fluctuations and helps define the trend. The price (via extremes) must cross the MA → signals a potential trend shift or strengthening. Parameters: maLength = 20: Default length (≈ one trading month, 20-21 days). Good balance between sensitivity & smoothing. Lower TF → reduce (10–14). Higher TF → increase (50). maSource: Defines price source (default = Close). Alternatives (HL2, HLC3) → smoother, less noisy MA. maType: Default = EMA (Exponential MA). Why EMA? Faster reaction to recent price changes vs SMA → useful for breakout strategies. Other options: SMA 🟦 – classic, slowest. WMA 🟨 – weights recent data stronger. HMA 🟩 – near-zero lag, but “nervous,” more false signals. DEMA/TEMA 🟧 – even faster & more sensitive than EMA. VWMA 🔊 – volume-weighted. ZLEMA ⏱ – reduced lag. 👉 Choice = tradeoff between speed of reaction & false signals. B. Range Extremes (Previous High/Low) 📏 Why used: Define borders of recent trading range. prevHigh = local resistance. prevLow = local support. Break of these levels on close = trigger. Parameters: lookbackPeriod = 5: Searches for highest high / lowest low of last 5 candles. Very recent range. Higher value (10–20) → wider, stronger ranges but rarer signals. 3. Entry & Exit Rules 🎯 Long signals (BUY) 🟢📈 Condition (longCondition): Previous Low crosses MA from below upwards. → Price bounced from the bottom & strong enough to push range border above MA. Execution: Auto-close short (if any) → open long. Short signals (SELL) 🔴📉 Condition (shortCondition): Previous High crosses MA from above downwards. → Price rejected from the top, upper border failed above MA. Execution: Auto-close long (if any) → open short. Exit conditions 🚪 Exit Long (exitLongCondition): Close below prevLow. → Uptrend likely ended, range shifts down. Exit Short (exitShortCondition): Close above prevHigh. → Downtrend likely ended, range shifts up. ⚠️ Important: Exit = only on candle close beyond extremes (not just wick). 4. Trading Settings ⚒️ overlay = true → indicators shown on chart. initial_capital = 10000 💵. default_qty_type = strategy.cash, default_qty_value = 100 → trades fixed $100 per order (not lots). Can switch to % of equity. commission_type = strategy.commission.percent, commission_value = 0.1 → default broker fee = 0.1%. Adjust for your broker! slippage = 3 → slippage = 3 ticks. Adjust to asset liquidity. currency = USD. margin_long = 100, margin_short = 100 → no leverage (100% margin). 5. Visualization on Chart 📊 The strategy draws 3 lines: 🔵 MA line (thickness 2). 🔴 Previous High (last N candles). 🟢 Previous Low (last N candles). Also: entry/exit arrows & equity curve shown in backtest. Disclaimer ⚠️📌 Risk Warning: This description & code are for educational purposes only. Not financial advice. Trading (Forex, Stocks, Crypto) carries high risk and may lead to full capital loss. You trade at your own risk. Testing: Always backtest & demo test first. Past results ≠ future profits. Responsibility: Author of this strategy & description is not responsible for your trading decisions or losses.
Pine Script® strategy
by Script_Algo
My Backtest Module### 📊 Universal Backtest Module - Pro Structure **A Fully Customizable Strategy Framework for Advanced Backtesting & Signal Analysis** This powerful Pine Script strategy is designed as a **universal testing module** for traders and developers who want to evaluate custom trading logic across multiple conditions, timeframes, and risk parameters — all within a single, flexible structure. > ⚠️ **Note:** This script is intended for **educational and backtesting purposes only**. It does **not** provide financial advice, nor does it guarantee profits. Always test strategies thoroughly before applying them to live markets. --- ### 🔧 Key Features ✅ **Multi-Source Entry Signals** Combine up to two independent buy/sell signals using flexible logic: - **OR Logic**: Trigger on any signal (edge-based). - **AND Logic (Latched)**: Requires both signals at any point (flip-flop style). - **AND No Latch**: Both signals must be active simultaneously. ✅ **Dynamic Trade Direction Control** Choose between: - Long & Short (Both) - Long Only - Short Only With optional **close-on-opposite-signal** and **wait-for-opposite-reentry** logic. ✅ **Precision Timing Filters** - Date range filtering (start/end dates) - Intraday session control (supports up to 3 custom sessions) - Visual session shading for clarity ✅ **Advanced Risk Management** - Multiple Stop Loss types: - Fixed Points / Percent - ATR-based (adjustable multiplier) - Swing-based (automatically detects pivots) - External SL source - Dynamic position sizing: - Fixed lot - % of equity risk (with max fallback) ✅ **Smart Take Profit Options** - Fixed Points, Percent, RR Ratio, ATR, Fibonacci extensions - Support for **external TP levels** (user-defined sources) - Optional **multiple partial exits** with customizable size distribution - Fibonacci TP levels (1.0, 1.618, 2.618, 4.236) based on SL distance ✅ **Flexible Exit Tools** - Breakeven stop activation after TP1 hit - Internal swing-based trailing stop - External trailing stop (custom source) - Max holding time (auto-close after X candles) - Custom close conditions via user-defined logic - Close & reverse functionality ✅ **Visual Clarity & Feedback** - Clear visual markers for Buy/Sell signals - Real-time SL, Entry, and TP lines with color-coded risk/reward zones - On-chart TP level labels showing prices and allocation percentages - Session background highlighting - Trade statistics summary label --- ### 🛠️ Ideal For: - Testing new indicator combinations - Validating entry/exit logic under various market filters - Comparing signal fusion methods (OR vs AND) - Simulating professional-grade risk management rules - Educational demonstrations in algorithmic trading --- ### ⚠️ Important Notes - This is a **backtesting tool**, not a live trading bot. - Past performance is **not indicative of future results**. - Strategy performance depends entirely on the quality of input signals. - Always validate results across multiple assets and timeframes. - Use in conjunction with sound money management principles. --- ### 📌 How to Use 1. Attach the script to your chart. 2. Configure **Buy/Sell Signal Sources** (e.g., RSI crossovers, moving averages, etc.) 3. Set your preferred **trade direction, session, and date filters** 4. Define **stop loss and take profit rules** 5. Adjust position sizing and exit behavior 6. Run the backtest and analyze results in the **Strategy Tester tab** 💡 *Tip: Combine with other indicators by referencing their output values as signal sources.* --- ### ❌ Disclaimer This script is shared for **informational and educational purposes only**. By using it, you agree that: - The author is **not responsible** for any financial losses. - Trading involves significant risk; only risk capital should be used. - You are solely responsible for your trading decisions. 🚫 **This script does not promote get-rich-quick schemes, guaranteed profits, or unverified performance claims.** --- 🔁 **Version:** 5 (Pine Script v5) 📦 **Category:** Strategy 📈 **Overlay:** Yes 🧪 **Purpose:** Backtesting, Signal Validation, Risk Modeling --- ✅ **Safe for Public Sharing** ✔ Complies with TradingView’s community standards ✔ No misleading performance claims ✔ No automated trading promises ✔ No copyrighted or plagiarized content --- > 💬 *"Knowledge is power — test wisely, trade responsibly."* --- Let me know if you'd like a **short version** for the script's header comment or a **public post summary** for the TradingView feed!
Pine Script® strategy
by contactkenny117s
1
EMA inFusion Pro - Multiple SourcesEMA Fusion Pro: Dynamic Trend & Momentum Strategy with Three Exit Modes EMA Fusion Pro is a highly customizable, multi-exit trend-following strategy designed for traders who value both precision and flexibility. By leveraging exponential moving averages (EMA), average directional index (ADX), and volume analysis, this strategy aims to capture trending market moves while offering three distinct exit modes for optimal risk management across varying market conditions. Strategy Overview This strategy systematically identifies potential entry points using a moving average crossover with highly configurable data sources (including price, volume, rate of change, or their Heikin Ashi versions) and filters signal quality with ADX trend strength and volume spikes. Each trade is managed with one of three advanced exit methodologies—reverse signal, ATR-based stop/take profit, or fixed percentage—giving you the control to adapt your risk profile to different market regimes. Key Features Customizable EMA Source: Calculate the core trend-filtering EMA from price (default), volume, rate of change, or their Heikin Ashi counterparts for unique market perspectives. Trend Filter with ADX: Confirm entries only when the trend is strong, as measured by the user-adjustable ADX threshold. Volume Spike Confirmation: Optional filter to only take trades with above-average volume activity, reducing false signals. Three Exit Modes: Reverse Signal: Exit trades when a new, opposite entry signal occurs. ATR-Based Stop/Take Profit: Dynamic risk management using multiples of the average true range (ATR) for both take profit and stop loss. Percent-Based Stop/Take Profit: Fixed-percentage risk management with user-defined thresholds. Visual Annotations: Signal markers, EMA line color-coded by source, trend background coloring, and optional ATR/percent-based TP/SL levels. Info Panel: Real-time display of all core indicators, current trading mode, exit parameters, and position status for quick oversight. How It Works Entry Logic: A crossover signal (above/below the EMA) triggers a new entry, but only if both ADX trend strength and (optionally) volume spike conditions are met. Exit Logic: Three selectable modes allow you to exit trades on reverse signals, at a dynamic ATR-based profit or loss, or at a fixed percentage gain/loss. Flexible Data Analysis: The EMA source can be chosen from six options—standard price, volume, rate of change, or their Heikin Ashi variants—allowing experimentation with different market dimensions. Risk Management: All exits are precisely controlled, either by the next opposing signal, by volatility-adjusted levels, or by fixed risk/reward ratios. Backtest & Optimization: The strategy is fully backtestable within TradingView’s Strategy Tester, with adjustable parameters for optimization. Customization & Usage Indicator Source: Select your preferred data type for EMA calculation, opening the door to creative strategy variations (e.g., volume momentum, pure price trend, rate of change divergence). Filter Toggles: Enable/disable ADX and volume filters as desired—useful for different market environments. Exit Mode Selection: Switch between reverse, ATR, or percent-based exits with a single parameter—ideal for adapting to ranging vs. trending markets. Visual Clarity: The EMA line color reflects its underlying source, and the info panel summarizes all critical values for easy monitoring. Who Should Use This Strategy? Trend Followers seeking to ride strong moves with multiple exit options. Experienced Traders who want to experiment with different data types (volume, momentum, Heikin Ashi) for trend analysis. Algorithmic Traders looking for a robust, flexible base to build upon with their own ideas. Getting Started Apply the script to your chart and review default settings. Customize parameters—EMA length, ADX threshold, volume settings, exit type—as desired. Backtest on multiple instruments and timeframes to evaluate performance. Optimize filters, exit rules, and risk parameters for your preferred trading style. Monitor with the real-time info panel and trade alerts. Disclaimer This script is for educational and entertainment purposes only. It is not financial advice. Past performance is not indicative of future results. Always conduct thorough testing and consider your risk tolerance before trading real capital. — Happy Trading — Feel free to adapt, share, and contribute to this open-source strategy!
Pine Script® strategy
by fenyesk
1
Script_Algo - ORB Strategy with Filters🔍 Core Concept: This strategy combines three powerful technical analysis tools: Range Breakout, the SuperTrend indicator, and a volume filter. Additionally, it features precise customization of the number of candles used to construct the breakout range, enabling optimized performance for specific assets. 🎯 How It Works: The strategy defines a trading range at the beginning of the trading session based on a selected number of candles. It waits for a breakout above the upper or below the lower boundary of this range, requiring a candle close. It filters signals using the SuperTrend indicator for trend confirmation. It utilizes trading volume to filter out false breakouts. ⚡ Strategy Features 📈 Entry Points: Long: Candle close above the upper range boundary + SuperTrend confirmation Short: Candle close below the lower range boundary + SuperTrend confirmation 🛡️ Risk Management: Stop-Loss: Set at the opposite range boundary. Take-Profit: Calculated based on a risk/reward ratio (3:1 by default). Position Size: 10 contracts (configurable). ⚠️ IMPORTANT SETTINGS 🕐 Time Parameters: Set the correct time and time zone! ❕ATTENTION: The strategy works ONLY with correct time settings! Set the time corresponding to your location and trading session. 📊 This strategy is optimized for trading TESLA stock! Parameters are tailored to TESLA's volatility, and trading volumes are adequate for signal filtering. Trading time corresponds to the American session. 📈 If you look at the backtesting results, you can see that the strategy could potentially have generated about 70 percent profit on Tesla stock over six months on 5m timeframe. However, this does not guarantee that results will be repeated in the future; remain vigilant. ⚠️ For other assets, the following is required: Testing and parameter optimization Adjustment of time intervals and the number of candles forming the range Calibration of stop-loss and take-profit levels ⚠️ Limitations and Drawbacks 🔗 Automation Constraints: ❌ Cannot be directly connected via Webhook to CFD brokers! Additional IT solutions are required for automation, thus only manual trading based on signals is possible. 📉 Risk Management: Do not risk more than 2-3% of your account per trade. Test on historical data before live use. Start with a demo account. 💪 Strategy Advantages ✅ Combined approach – multiple signal filters ✅ Clear entry and exit rules ✅ Visual signals on the chart ✅ Volume-based false breakout filtering ✅ Automatic position management 🎯 Usage Recommendations Always test the strategy on historical data. Start with small trading volumes. Ensure time settings are correct. Adapt parameters to current market volatility. Use only for stocks – futures and Forex require adaptation. 📚 Suitable Timeframes - M1-M15 Only highly liquid stocks 🍀 I wish all subscribers good luck in trading and steady profits! 📈 May your charts move in the right direction! ⚠️ Remember: Trading involves risk. Do not invest money you cannot afford to lose!
Pine Script® strategy
by Script_Algo
4
Script_Algo - Fibo Correction Strategy🔹 Core Concept The strategy is built on combining Fibonacci retracement levels, candlestick pattern confirmation, and trend filtering for trade selection. It performs well on the 1-hour timeframe across many cryptocurrency pairs. Particularly on LINKUSDT over the past year and a half, despite the not very optimal 1:1 risk/reward ratio. The logic is simple: after a strong impulse move, the price often retraces to key Fibonacci levels (specifically, the 61.8% level). If a confirming candlestick (pattern) appears at this moment, the strategy looks for an entry in the direction of the main trend. 🔹 Indicators Used in the Strategy ATR (Average True Range) — Used to calculate the stop-loss and take-profit levels. EMA (9 and 21) — Additional moving averages for assessing the direction of movement (not directly used in entry conditions, but the logic can be expanded to include them). SMA (Trend Filter, 20 by default) — The trend direction filter. Trades are only opened in its direction. Fibonacci Levels — The 61.8% retracement level is calculated based on the high and low of the previous candle. 🔹 Entry Conditions 🟢 Long (Buy): Previous Candle: Must be green (close higher than open). Must have a body not smaller than a specified minimum. The upper wick must not exceed 30% of the body size. → This filters out "weak" or "indecisive" candles. Current Candle: Price touches or breaches the Fibonacci 61.8% retracement level from the previous range. Closes above this level. Closes above the Trend Filter (SMA) line. A position is opened only if there are no other open trades at the moment. 🔴 Short (Sell): Previous Candle: Must be red (close lower than open). Must have a body not smaller than a specified minimum. The lower wick must not exceed 30% of the body size. Current Candle: Price touches or breaches the Fibonacci 61.8% retracement level from the previous range. Closes below this level. Closes below the Trend Filter (SMA) line. A trade is opened only if there are no other open positions. 🔹 Risk Management Stop-Loss = ATR × multiplier (default is 5). Take-Profit = ATR × the same multiplier. Thus, the default risk/reward ratio is 1:1, but it can be easily adjusted by changing the coefficient. Although, strangely enough, this ratio has shown the best results on some assets on the 1-hour timeframe. 🔹 Chart Visualization Fibonacci level for Long — Green line with circles. Fibonacci level for Short — Red line with circles. Trend Filter line (SMA) — Blue. 🔹 Strengths of the Strategy ✅ Utilizes a proven market pattern — retracement to the 61.8% level. ✅ Further filters entries using trend and candlestick patterns. ✅ Simple, transparent logic that is easy to expand (e.g., adding other Fib levels, an EMA filter, etc.). 🔹 Limitations ⚠️ Performs better in trending markets; can generate false signals during ranging (sideways) conditions. ⚠️ The fixed 1:1 risk/reward ratio is not always optimal and could be refined. ⚠️ Performance depends on the selected timeframe and ATR parameters. 📌 Summary: The strategy seeks corrective entries in the direction of the trend, confirmed by candlestick patterns. It is versatile and can be applied to forex pairs, cryptocurrencies, and stocks. ⚠️ Not financial advice. Pay close attention to risk management to avoid blowing your account. The strategy is not repainting — I have personally verified it through real testing — but it may not necessarily replicate the same results in the future, as the market is constantly changing. Test it, profit, and good luck to everyone!
Pine Script® strategy
by Script_Algo
2
Rbpov1 – Opening Range Multi-Actifs Final📌 Strategy Bio – Rbpov1 Opening Range Pro 🎯 Core Concept The Rbpov1 Opening Range Pro is an advanced algorithmic trading system built around the opening range breakout concept. It is based on the observation that, after a period of consolidation (the opening range), markets often generate strong directional moves once the range is broken. This strategy is designed to be multi-asset (Forex, indices, commodities, crypto) and multi-timeframe, with the following key principles: A reference range (default: 03:00 → 06:00 UTC+2, customizable). Trade entries are taken only after the range closes. Smart filtering (trend, volatility, volume) to reduce false signals. Strict risk management in USD, with Stop Loss and Take Profit defined in multiples of R. Automatic end-of-day flat rule: all positions are closed by session end. ⚙️ Filters & Conditions 🔹 1. Trend Filter (EMA HTF) A 21-period EMA is applied to a higher timeframe (default: H4). If price is above EMA, only longs are allowed. If price is below EMA, only shorts are allowed. 👉 This aligns intraday trades with the dominant trend. 🔹 2. Volatility Filter (ATR) Uses a 14-period ATR to validate range conditions. Opening range is valid only if: Range > minATR × ATR Range < maxATR × ATR Default: minATR = 0.2, maxATR = 6.0. 👉 Filters out noise (tiny ranges) or overextended volatility. 🔹 3. Volume Filter (Optional) Breakout candle must show higher volume than the average (default SMA 20). Prevents low-liquidity breakouts. 🔹 4. Session & Trading Rules No trades during weekends (Forex). Maximum X trades per day (default: 2). Positions are force-closed at EOD (default: 19:00 UTC+2). 💰 Risk Management Dynamic position sizing in USD (capital × risk%). Stop Loss automatically set at the opposite side of the range (with optional buffer). Take Profit in multiples of R (default: 1.5R). Equity-based recalculation ensures consistency as account grows. 📊 Key Benefits ✅ Professional and modular architecture. ✅ Works across Forex, indices, gold, and crypto. ✅ Smart filtering for cleaner signals. ✅ Robust and consistent risk management. ✅ Automatic end-of-day flattening (no overnight risk). ✅ Modern and visual dashboard interface for readability. 🏆 Use Cases Forex (USD/JPY, EUR/USD, GBP/USD) → Asian session ranges. Indices (NAS100, US30, DAX) → NYSE opening ranges. Gold (XAU/USD) → Tokyo or pre-London ranges. Crypto (BTC, ETH) → Tailored to volatility peaks.
Pine Script® strategy
by LePotDeFleur
FlowStateTrader FlowState Trader - Advanced Time-Filtered Strategy ## Overview FlowState Trader is a sophisticated algorithmic trading strategy that combines precision entry signals with intelligent time-based filtering and adaptive risk management. Built for traders seeking to achieve their optimal performance state, FlowState identifies high-probability trading opportunities within user-defined time windows while employing dynamic trailing stops and partial position management. ## Core Strategy Philosophy FlowState Trader operates on the principle that peak trading performance occurs when three elements align: **Focus** (precise entry signals), **Flow** (optimal time windows), and **State** (intelligent position management). This strategy excels at finding reversal opportunities at key support and resistance levels while filtering out suboptimal trading periods to keep traders in their optimal flow state. ## Key Features ### 🎯 Focus Entry System **Support/Resistance Zone Trading**: - Dynamic identification of key price levels using configurable lookback periods - Entry signals triggered when price interacts with these critical zones - Volume confirmation ensures genuine breakout/reversal momentum - Trend filter alignment prevents counter-trend disasters **Entry Conditions**: - **Long Signals**: Price closes above support buffer, touches support level, with above-average volume - **Short Signals**: Price closes below resistance buffer, touches resistance level, with above-average volume - Optional trend filter using EMA or SMA for directional bias confirmation ### ⏰ FlowState Time Filtering System **Comprehensive Time Controls**: - **12-Hour Format Trading Windows**: User-friendly AM/PM time selection - **Multi-Timezone Support**: UTC, EST, PST, CST with automatic conversion - **Day-of-Week Filtering**: Trade only weekdays, weekends, or both - **Lunch Hour Avoidance**: Automatically skips low-volume lunch periods (12-1 PM) - **Visual Time Indicators**: Background coloring shows active/inactive trading periods **Smart Time Features**: - Handles overnight trading sessions seamlessly - Prevents trades during historically poor performance periods - Customizable trading hours for different market sessions - Real-time trading window status in dashboard ### 🛡️ Adaptive Risk Management **Multi-Level Take Profit System**: - **TP1**: First profit target with optional partial position closure - **TP2**: Final profit target for remaining position - **Flexible Scaling**: Choose number of contracts to close at each level **Dynamic Trailing Stop Technology**: - **Three Operating Modes**: - **Conservative**: Earlier activation, tighter trailing (protect profits) - **Balanced**: Optimal risk/reward balance (recommended) - **Aggressive**: Later activation, wider trailing (let winners run) - **ATR-Based Calculations**: Adapts to current market volatility - **Automatic Activation**: Engages when position reaches profitability threshold ### 📊 Intelligent Position Sizing **Contract-Based Management**: - Configurable entry quantity (1-1000 contracts) - Partial close quantities for profit-taking - Clear position tracking and P&L monitoring - Real-time position status updates ### 🎨 Professional Visualization **Enhanced Chart Elements**: - **Entry Zone Highlighting**: Clear visual identification of trading opportunities - **Dynamic Risk/Reward Lines**: Real-time TP and SL levels with price labels - **Trailing Stop Visualization**: Live tracking of adaptive stop levels - **Support/Resistance Lines**: Key level identification - **Time Window Background**: Visual confirmation of active trading periods **Dual Dashboard System**: - **Strategy Dashboard**: Real-time position info, settings status, and current levels - **Performance Scorecard**: Live P&L tracking, win rates, and trade statistics - **Customizable Sizing**: Small, Medium, or Large display options ### ⚙️ Comprehensive Customization **Core Strategy Settings**: - **Lookback Period**: Support/resistance calculation period (5-100 bars) - **ATR Configuration**: Period and multipliers for stops/targets - **Reward-to-Risk Ratios**: Customizable profit target calculations - **Trend Filter Options**: EMA/SMA selection with adjustable periods **Time Filter Controls**: - **Trading Hours**: Start/end times in 12-hour format - **Timezone Selection**: Four major timezone options - **Day Restrictions**: Weekend-only, weekday-only, or unrestricted - **Session Management**: Lunch hour avoidance and custom periods **Risk Management Options**: - **Trailing Stop Modes**: Conservative/Balanced/Aggressive presets - **Partial Close Settings**: Enable/disable with custom quantities - **Alert System**: Comprehensive notifications for all trade events ### 📈 Performance Tracking **Real-Time Metrics**: - Net profit/loss calculation - Win rate percentage - Profit factor analysis - Maximum drawdown tracking - Total trade count and breakdown - Current position P&L **Trade Analytics**: - Winner/loser ratio tracking - Real-time performance scorecard - Strategy effectiveness monitoring - Risk-adjusted return metrics ### 🔔 Alert System **Comprehensive Notifications**: - Entry signal alerts with price and quantity - Take profit level hits (TP1 and TP2) - Stop loss activations - Trailing stop engagements - Position closure notifications ## Strategy Logic Deep Dive ### Entry Signal Generation The strategy identifies high-probability reversal points by combining multiple confirmation factors: 1. **Price Action**: Looks for price interaction with key support/resistance levels 2. **Volume Confirmation**: Ensures sufficient market interest and liquidity 3. **Trend Alignment**: Optional filter prevents counter-trend positions 4. **Time Validation**: Only trades during user-defined optimal periods 5. **Zone Analysis**: Entry occurs within calculated buffer zones around key levels ### Risk Management Philosophy FlowState Trader employs a three-tier risk management approach: 1. **Initial Protection**: ATR-based stop losses set at strategy entry 2. **Profit Preservation**: Trailing stops activate once position becomes profitable 3. **Scaled Exit**: Partial profit-taking allows for both security and potential ### Time-Based Edge The time filtering system recognizes that not all trading hours are equal: - Avoids low-volume, high-spread periods - Focuses on optimal liquidity windows - Prevents trading during news events (lunch hours) - Allows customization for different market sessions ## Best Practices and Optimization ### Recommended Settings **For Scalping (1-5 minute charts)**: - Lookback Period: 10-20 - ATR Period: 14 - Trailing Stop: Conservative mode - Time Filter: Major session hours only **For Day Trading (15-60 minute charts)**: - Lookback Period: 20-30 - ATR Period: 14-21 - Trailing Stop: Balanced mode - Time Filter: Extended trading hours **For Swing Trading (4H+ charts)**: - Lookback Period: 30-50 - ATR Period: 21+ - Trailing Stop: Aggressive mode - Time Filter: Disabled or very broad ### Market Compatibility - **Forex**: Excellent for major pairs during active sessions - **Stocks**: Ideal for liquid stocks during market hours - **Futures**: Perfect for index and commodity futures - **Crypto**: Effective on major cryptocurrencies (24/7 capability) ### Risk Considerations - **Market Conditions**: Performance varies with volatility regimes - **Timeframe Selection**: Lower timeframes require tighter risk management - **Position Sizing**: Never risk more than 1-2% of account per trade - **Backtesting**: Always test on historical data before live implementation ## Educational Value FlowState serves as an excellent learning tool for: - Understanding support/resistance trading - Learning proper time-based filtering - Mastering trailing stop techniques - Developing systematic trading approaches - Risk management best practices ## Disclaimer This strategy is for educational and informational purposes only. Past performance does not guarantee future results. Trading involves substantial risk of loss and is not suitable for all investors. Users should thoroughly backtest the strategy and understand all risks before live trading. Always use proper position sizing and never risk more than you can afford to lose. --- *FlowState Trader represents the evolution of systematic trading - combining classical technical analysis with modern risk management and intelligent time filtering to help traders achieve their optimal performance state through systematic, disciplined execution.*
Pine Script® strategy
by TradeManager_PRO
1
Parallax Momentum MNQ Strategy# 📈 Parallax Momentum MNQ Strategy ## Overview The Parallax Momentum MNQ Strategy is a sophisticated support/resistance breakout system specifically designed for Micro Nasdaq futures (MNQ) trading (also works on minis). This strategy combines dynamic level detection with momentum confirmation to identify high-probability entry opportunities while maintaining strict risk management protocols. ## 🎯 Key Features ### Core Strategy Logic - **Dynamic Support/Resistance Detection**: Automatically identifies key levels using configurable lookback periods - **Momentum Confirmation**: Volume-based filtering ensures trades align with market momentum - **ATR-Based Risk Management**: Adaptive stop losses and take profits based on market volatility - **Dual Entry System**: Both long and short opportunities with limit order execution ### Risk Management - **ATR-Adaptive Stops**: Stop losses and take profits automatically adjust to market volatility - **Reward-to-Risk Ratios**: Configurable R:R ratios with default 2:1 minimum - **Maximum Loss Protection**: Optional daily loss limits to prevent overtrading - **Session Time Filtering**: Trade only during specified market hours ### Strategy Modes - **Conservative Mode**: 0.8x risk multiplier for cautious trading - **Balanced Mode**: Standard 1.0x risk multiplier (default) - **Aggressive Mode**: 1.2x risk multiplier for active trading ## 📊 Visual Features ### Dashboard Display - Real-time strategy status and performance metrics - Current support/resistance levels and ATR values - Live risk-to-reward ratios for potential trades - Win rate, profit factor, and drawdown statistics - Adjustable dashboard size and positioning ### Chart Indicators - Support and resistance lines with labels - ATR-based levels (+/-1 ATR and +/-2 ATR) - Dynamic visual updates as levels change - Configurable line extensions and styling ## ⚙️ Configuration Options ### Entry Filters - **Volume Filter**: Optional volume confirmation above SMA - **Session Time Filter**: 12-hour format time restrictions - **ATR vs Fixed Stops**: Choose between adaptive or fixed tick-based exits ### Risk Controls - **ATR Period**: Default 14-period ATR calculation - **Stop Loss Multiplier**: ATR-based stop distance (default 1.5x) - **Take Profit Multiplier**: ATR-based target distance (default 1.5x) - **Secondary Take Profit**: Optional TP2 with position scaling ## 📋 How It Works ### Entry Conditions **Long Trades**: Triggered when price closes above support buffer but low touches support level, with volume and session confirmation **Short Trades**: Triggered when price closes below resistance buffer but high touches resistance level, with volume and session confirmation ### Exit Strategy - **Primary Take Profit**: ATR-based target with 2:1 R:R minimum - **Stop Loss**: ATR-based protective stop - **Optional TP2**: Extended target for partial profit taking - **One Trade at a Time**: No overlapping positions ## 🎛️ Default Settings - **Lookback Period**: 20 bars for support/resistance detection - **ATR Period**: 14 bars for volatility calculation - **Stop Loss**: 1.5x ATR from entry - **Take Profit**: 1.5x ATR with 2:1 reward-to-risk ratio - **Session**: 7:30 AM - 2:00 PM (configurable) ## ⚠️ Important Notes ### Risk Disclaimer - This strategy is for educational and informational purposes only - Past performance does not guarantee future results - Always use proper position sizing and risk management - Test thoroughly on historical data before live trading - Consider market conditions and volatility when using ### Best Practices - Backtest on sufficient historical data - Start with conservative mode for new users - Monitor performance regularly and adjust parameters as needed - Use appropriate position sizing for your account - Consider broker commissions and slippage in live trading ## 🔧 Customization The strategy offers extensive customization options including: - Adjustable time sessions with AM/PM format - Configurable ATR and risk parameters - Optional maximum daily loss limits - Dashboard size and position controls - Visual element toggles and styling ## 📈 Ideal For - MNQ (Micro Nasdaq) futures traders - Intraday momentum strategies - Traders seeking systematic entry/exit rules - Risk-conscious traders wanting automated stops - Both beginner and experienced algorithmic traders --- **Version**: Pine Script v5 Compatible **Timeframe**: Works on multiple timeframes (test on 1m, 3m, 5m, 15m) **Market**: Optimized for MNQ but adaptable to other instruments **Strategy Type**: Trend following with momentum confirmation
Pine Script® strategy
by TradeManager_PRO
2
Aether SignalAether Signal is a professional TradingView indicator engineered for advanced traders who demand precise analysis, smart money concepts, and robust risk management. It systematically incorporates institutional trading techniques, automated level detection, and multi-level profit-taking for exceptional trade execution. Support & Resistance: Aether Signal automatically identifies key support and resistance levels using mathematically rigorous algorithms, ensuring that traders see the most significant price barriers for their entries and exits. Smart Money Concepts: The indicator is grounded in institutional trading logic, analyzing market structure to pinpoint where large market participants are engaging. It leverages volume and price interaction at critical zones, similar to harmonic liquidity nodes in professional strategies. Precise Entry Points: Entry signals are generated when strict confluence conditions are met, ensuring signals align with underlying market structure, high-volume footprints, and optimal momentum. Stops are logically placed just beyond the validated support or resistance—on the opposite side of the key zone. Triple Take Profits: Aether Signal equips traders to maximize returns with three intelligently placed take profit levels (TP1, TP2, TP3), allowing for strategic scaling out and adaptive trade management. Supply & Demand Zones: The indicator scans for market imbalances by identifying high-probability supply and demand areas driven by institutional activity and volume anomalies, guiding traders toward potent reversal or continuation setups. Advanced Risk Management: Robust risk controls are integrated, including logical stop loss suggestions and trade selection filters, to minimize overtrading and enhance consistency. Win Rate: The system claims a win rate of up to 96% under optimal settings and strict adherence to its entry criteria, setting a high benchmark for performance (note: actual results may vary depending on market conditions and trader discipline). Aether Signal is tailored for traders seeking the edge of institutional-grade analytics—offering comprehensive structure analysis, actionable alerts, and performance-focused features that merge automation with trader control.
Pine Script® strategy
by almotawa14
1
Golden Btc Formula🏆 Golden BTC Formula Bot Introducing the Golden BTC Formula Bot — a smart trading strategy built specifically for Bitcoin on TradingView, designed to combine algorithmic precision with solid risk management. 📊 Backtest Overview: The backtest shows that starting with a $10,000 balance and using a position size of 50% of equity per trade, the bot has delivered impressive, consistent returns over the tested period. The equity curve illustrates steady growth, minimal drawdowns, and controlled risk exposure — proving its robustness even in volatile market conditions. ⚙️ How It Works: The bot automatically detects high-probability entries based on carefully tuned indicators and price action logic. Targets and stop-loss levels are dynamically calculated to adapt to market volatility. Built entirely in Pine Script for TradingView, so you can watch trades live or backtest historically. 🛡️ Risk Management Tips: Even with a strong backtest, real trading always involves risk. Here’s how to use the Golden BTC Formula Bot responsibly: ✅ Use only part of your capital (e.g., 30–50%) for the bot. ✅ Set reasonable leverage (or stick to spot trading). ✅ Withdraw profits periodically instead of letting them fully compound forever. ✅ Always backtest and forward-test before going live, and consider running it in paper trading mode at first.
Pine Script® strategy
by Waveoflogic
Aftershock Playbook: Stock Earnings Drift EngineStrategy type Event-driven post-earnings momentum engine (long/short) built for single-stock charts or ADRs that publish quarterly results. What it does Detects the exact earnings bar (request.earnings, lookahead_off). Scores the surprise and launches a position on that candle’s close. Tracks PnL: if the first leg closes green, the engine automatically re-enters on the very next bar, milking residual drift. Blocks mid-cycle trades after a loss until the next earnings release—keeping the risk contained to one cycle. Think of it as a sniper that fires on the earnings pop, reloads once if the shot lands, then goes silent until the next report. Core signal inputs Component Default Purpose EPS Surprise % +0 % / –5 % Minimum positive / negative shock to trigger longs/shorts. Reverse signals? Off Quick flip for mean-reversion experiments. Time Risk Mgt. Off Optional hard exit after 45 calendar days (auto-scaled to any TF). Risk engine ATR-based stop (ATR × 2 by default, editable). Bar time stop (15-min → Daily: Have to select the bar value ). No pyramiding beyond the built-in “double-tap”. All positions sized as % of equity via Strategy Properties. Visual aids Yellow triangle marks the earnings bar. Diagnostics table (top-right) shows last Actual, Estimate, and Surprise %. Status-line tool-tips on every input. Default inputs Setting Value Positive surprise ≥ 0 % Negative surprise ≤ –5 % ATR stop × 2 ATR length 50 Hold horizon 350 ( 1h timeframe chart bars) Back-test properties Initial capital  10 000 Order size    5 % of equity Pyramiding    1 (internal re-entry only) Commission   0.03 % Slippage     5 ticks Fills      Bar magnifier ✔ · On bar close ✔ · Standard OHLC ✔ How to use Add the script to any earnings-driven stock (AAPL, MSFT, TSLA…). Turn on Time Risk Management if you want stricter risk management Back-test different ATR multipliers to fit the stock’s volatility. Sync commission & slippage with your broker before forward-testing. Important notes Works on every timeframe from 15 min to 1 D. Sweet spot around 30min/1h All request.earnings() & request.security() calls use lookahead_off—zero repaint. The “double-tap” re-entry occurs once per winning cycle to avoid drift-chasing loops. Historical stats ≠ future performance. Size positions responsibly.
Pine Script® strategy
by exlux
2
Long/Short/Exit/Risk management Strategy # LongShortExit Strategy Documentation ## Overview The LongShortExit strategy is a versatile trading system for TradingView that provides complete control over entry, exit, and risk management parameters. It features a sophisticated framework for managing long and short positions with customizable profit targets, stop-loss mechanisms, partial profit-taking, and trailing stops. The strategy can be enhanced with continuous position signals for visual feedback on the current trading state. ## Key Features ### General Settings - **Trading Direction**: Choose to trade long positions only, short positions only, or both. - **Max Trades Per Day**: Limit the number of trades per day to prevent overtrading. - **Bars Between Trades**: Enforce a minimum number of bars between consecutive trades. ### Session Management - **Session Control**: Restrict trading to specific times of the day. - **Time Zone**: Specify the time zone for session calculations. - **Expiration**: Optionally set a date when the strategy should stop executing. ### Contract Settings - **Contract Type**: Select from common futures contracts (MNQ, MES, NQ, ES) or custom values. - **Point Value**: Define the dollar value per point movement. - **Tick Size**: Set the minimum price movement for accurate calculations. ### Visual Signals - **Continuous Position Signals**: Implement 0 to 1 visual signals to track position states. - **Signal Plotting**: Customize color and appearance of position signals. - **Clear Visual Feedback**: Instantly see when entry conditions are triggered. ### Risk Management #### Stop Loss and Take Profit - **Risk Type**: Choose between percentage-based, ATR-based, or points-based risk management. - **Percentage Mode**: Set SL/TP as a percentage of entry price. - **ATR Mode**: Set SL/TP as a multiple of the Average True Range. - **Points Mode**: Set SL/TP as a fixed number of points from entry. #### Advanced Exit Features - **Break-Even**: Automatically move stop-loss to break-even after reaching specified profit threshold. - **Trailing Stop**: Implement a trailing stop-loss that follows price movement at a defined distance. - **Partial Profit Taking**: Take partial profits at predetermined price levels: - Set first partial exit point and percentage of position to close - Set second partial exit point and percentage of position to close - **Time-Based Exit**: Automatically exit a position after a specified number of bars. #### Win/Loss Streak Management - **Streak Cutoff**: Automatically pause trading after a series of consecutive wins or losses. - **Daily Reset**: Option to reset streak counters at the start of each day. ### Entry Conditions - **Source and Value**: Define the exact price source and value that triggers entries. - **Equals Condition**: Entry signals occur when the source exactly matches the specified value. ### Performance Analytics - **Real-Time Stats**: Track important performance metrics like win rate, P&L, and largest wins/losses. - **Visual Feedback**: On-chart markers for entries, exits, and important events. ### External Integration - **Webhook Support**: Compatible with TradingView's webhook alerts for automated trading. - **Cross-Platform**: Connect to external trading systems and notification platforms. - **Custom Order Execution**: Implement advanced order flows through external services. ## How to Use ### Setup Instructions 1. Add the script to your TradingView chart. 2. Configure the general settings based on your trading preferences. 3. Set session trading hours if you only want to trade specific times. 4. Select your contract specifications or customize for your instrument. 5. Configure risk parameters: - Choose your preferred risk management approach - Set appropriate stop-loss and take-profit levels - Enable advanced features like break-even, trailing stops, or partial profit taking as needed 6. Define entry conditions: - Select the price source (such as close, open, high, or an indicator) - Set the specific value that should trigger entries ### Entry Condition Examples - **Example 1**: To enter when price closes exactly at a whole number: - Long Source: close - Long Value: 4200 (for instance, to enter when price closes exactly at 4200) - **Example 2**: To enter when an indicator reaches a specific value: - Long Source: ta.rsi(close, 14) - Long Value: 30 (triggers when RSI equals exactly 30) ### Best Practices 1. **Always backtest thoroughly** before using in live trading. 2. **Start with conservative risk settings**: - Small position sizes - Reasonable stop-loss distances - Limited trades per day 3. **Monitor and adjust**: - Use the performance table to track results - Adjust parameters based on how the strategy performs 4. **Consider market volatility**: - Use ATR-based stops during volatile periods - Use fixed points during stable markets ## Continuous Position Signals Implementation The LongShortExit strategy can be enhanced with continuous position signals to provide visual feedback about the current position state. These signals can help you track when the strategy is in a long or short position. ### Adding Continuous Position Signals Add the following code to implement continuous position signals (0 to 1): ```pine // Continuous position signals (0 to 1) var float longSignal = 0.0 var float shortSignal = 0.0 // Update position signals based on your indicator's conditions longSignal := longCondition ? 1.0 : 0.0 shortSignal := shortCondition ? 1.0 : 0.0 // Plot continuous signals plot(longSignal, title="Long Signal", color=#00FF00, linewidth=2, transp=0, style=plot.style_line) plot(shortSignal, title="Short Signal", color=#FF0000, linewidth=2, transp=0, style=plot.style_line) ``` ### Benefits of Continuous Position Signals - Provides clear visual feedback of current position state (long/short) - Signal values stay consistent (0 or 1) until condition changes - Can be used for additional calculations or alert conditions - Makes it easier to track when entry conditions are triggered ### Using with Custom Indicators You can adapt the continuous position signals to work with any custom indicator by replacing the condition with your indicator's logic: ```pine // Example with moving average crossover longSignal := fastMA > slowMA ? 1.0 : 0.0 shortSignal := fastMA < slowMA ? 1.0 : 0.0 ``` ## Webhook Integration The LongShortExit strategy is fully compatible with TradingView's webhook alerts, allowing you to connect your strategy to external trading platforms, brokers, or custom applications for automated trading execution. ### Setting Up Webhooks 1. Create an alert on your chart with the LongShortExit strategy 2. Enable the "Webhook URL" option in the alert dialog 3. Enter your webhook endpoint URL (from your broker or custom trading system) 4. Customize the alert message with relevant information using TradingView variables ### Webhook Message Format Example ```json { "strategy": "LongShortExit", "action": "{{strategy.order.action}}", "price": "{{strategy.order.price}}", "quantity": "{{strategy.position_size}}", "time": "{{time}}", "ticker": "{{ticker}}", "position_size": "{{strategy.position_size}}", "position_value": "{{strategy.position_value}}", "order_id": "{{strategy.order.id}}", "order_comment": "{{strategy.order.comment}}" } ``` ### TradingView Alert Condition Examples For effective webhook automation, set up these alert conditions: #### Entry Alert ``` {{strategy.position_size}} != {{strategy.position_size}} ``` #### Exit Alert ``` {{strategy.position_size}} < {{strategy.position_size}} or {{strategy.position_size}} > {{strategy.position_size}} ``` #### Partial Take Profit Alert ``` strategy.order.comment contains "Partial TP" ``` ### Benefits of Webhook Integration - **Automated Trading**: Execute trades automatically through supported brokers - **Cross-Platform**: Connect to custom trading bots and applications - **Real-Time Notifications**: Receive trade signals on external platforms - **Data Collection**: Log trade data for further analysis - **Custom Order Management**: Implement advanced order types not available in TradingView ### Compatible External Applications - Trading bots and algorithmic trading software - Custom order execution systems - Discord, Telegram, or Slack notification systems - Trade journaling applications - Risk management platforms ### Implementation Recommendations - Test webhook delivery using a free service like webhook.site before connecting to your actual trading system - Include authentication tokens or API keys in your webhook URL or payload when required by your external service - Consider implementing confirmation mechanisms to verify trade execution - Log all webhook activities for troubleshooting and performance tracking ## Strategy Customization Tips ### For Scalping - Set smaller profit targets (1-3 points) - Use tighter stop-losses - Enable break-even feature after small profit - Set higher max trades per day ### For Day Trading - Use moderate profit targets - Implement partial profit taking - Enable trailing stops - Set reasonable session trading hours ### For Swing Trading - Use longer-term charts - Set wider stops (ATR-based often works well) - Use higher profit targets - Disable daily streak reset ## Common Troubleshooting ### Low Win Rate - Consider widening stop-losses - Verify that entry conditions aren't triggering too frequently - Check if the equals condition is too restrictive; consider small tolerances ### Missing Obvious Trades - The equals condition is extremely precise. Price must exactly match the specified value. - Consider using floating-point precision for more reliable triggers ### Frequent Stop-Outs - Try ATR-based stops instead of fixed points - Increase the stop-loss distance - Enable break-even feature to protect profits ## Important Notes - The exact equals condition is strict and may result in fewer trade signals compared to other conditions. - For instruments with decimal prices, exact equality might be rare. Consider the precision of your value. - Break-even and trailing stop calculations are based on points, not percentage. - Partial take-profit levels are defined in points distance from entry. - The continuous position signals (0 to 1) provide valuable visual feedback but don't affect the strategy's trading logic directly. - When implementing continuous signals, ensure they're aligned with the actual entry conditions used by the strategy. --- *This strategy is for educational and informational purposes only. Always test thoroughly before using with real funds.*
Pine Script® strategy
by Selfsimilarity
TrendMaster Pro 2.3 with Alerts Hello friends, A member of the community approached me and asked me how to write an indicator that would achieve a particular set of goals involving comprehensive trend analysis, risk management, and session-based trading controls. Here is one example method of how to create such a system: Core Strategy Components Multi-Moving Average System - Uses configurable MA types (EMA, SMA, SMMA) with short-term (9) and long-term (21) periods for primary signal generation through crossovers Higher Timeframe Trend Filter - Optional trend confirmation using a separate MA (default 50-period) to ensure trades align with broader market direction Band Power Indicator - Dynamic high/low bands calculated using different MA types to identify price channels and volatility zones Advanced Signal Filtering Bollinger Bands Volatility Filter - Prevents trading during low-volatility ranging markets by requiring sufficient band width RSI Momentum Filter - Uses customizable thresholds (55 for longs, 45 for shorts) to confirm momentum direction MACD Trend Confirmation - Ensures MACD line position relative to signal line aligns with trade direction Stochastic Oscillator - Adds momentum confirmation with overbought/oversold levels ADX Strength Filter - Only allows trades when trend strength exceeds 25 threshold Session-Based Trading Management Four Trading Sessions - Asia (18:00-00:00), London (00:00-08:00), NY AM (08:00-13:00), NY PM (13:00-18:00) Individual Session Limits - Separate maximum trade counts for each session (default 5 per session) Automatic Session Closure - All positions close at specified market close time Risk Management Features Multiple Stop Loss Options - Percentage-based, MA cross, or band-based SL methods Risk/Reward Ratio - Configurable TP levels based on SL distance (default 1:2) Auto-Risk Calculation - Dynamic position sizing based on dollar risk limits ($150-$250 range) Daily Limits - Stop trading after reaching specified TP or SL counts per day Support & Resistance System Multiple Pivot Types - Traditional, Fibonacci, Woodie, Classic, DM, and Camarilla calculations Flexible Timeframes - Auto-adjusting or manual timeframe selection for S/R levels Historical Levels - Configurable number of past S/R levels to display Visual Customization - Individual color and display settings for each S/R level Additional Features Alert System - Customizable buy/sell alert messages with once-per-bar frequency Visual Trade Management - Color-coded entry, SL, and TP levels with fill areas Session Highlighting - Optional background colors for different trading sessions Comprehensive Filtering - All signals must pass through multiple confirmation layers before execution This approach demonstrates how to build a professional-grade trading system that combines multiple technical analysis methods with robust risk management and session-based controls, suitable for algorithmic trading across different market sessions. Good luck and stay safe!
Pine Script® strategy
by everget
23
Algoway V4.2📌 Algoway V4.2 — Multi-layered Strategy Powered by ADX, MACD & PSO Overview Algoway V4.2 is a layered algorithmic strategy designed for volatility-rich assets like cryptocurrencies. While some core components (such as PSO, MACD, and ADX oscillators) are adapted from known indicator models, the original logic, state tracking, and Candle Strength Oscillator (CSO) are fully custom-developed. This strategy is not a simple combination of tools — it implements a conditional entry-exit logic system based on ADX zone transitions, momentum structure, and MACD/PSO signal synchronization, enhanced by custom-built CSO filtering. 🧠 Key Modules and How They Work Together PSO (Premium Stochastic Oscillator) Used to confirm local oversold/overbought pressure. Acts as a directional filter. MACD (Normalized) Volatility-normalized MACD values allow consistent signal detection even on volatile pairs. It triggers entries when momentum begins shifting. ADX Zonal Logic Divides the market into Range / MidRange / Trend Peak zones. Entries are allowed only under specific transitions — e.g., long entries only in yellow (low volatility) zones or in trend climax zones under certain pullbacks. CSO (Candle Strength Oscillator) — Custom Module Designed to measure real candle momentum and price structure consistency. It avoids false breakouts and filters trend fatigue. 🔁 How Logic Works Strategy maintains state variables to track entry type and zone. Exit conditions depend on the entry origin: entries from "Range" exit in "Peak", while "Peak" entries exit during pullbacks or mid-strength trend reversals. Additional logic prevents entries when signals are not aligned across modules, minimizing noise. Optional CSO module acts as a final microstructure confirmation before executing MACD-based midpoint entries. 📊 Example Parameters (for 5M crypto scalping) Each module is tuned to respond to 5-minute crypto volatility: Stochastic: fast response, tight thresholds MACD: shortened EMAs, normalized ADX: traditional smoothing, custom thresholds for zone switching CSO: candle-based dynamic filter with visual zone mapping 🧪 Conclusion Algoway V4.2 is not a script merger — it is a custom logic engine using familiar technical components but governed by a proprietary decision model, with additional filters and dynamic variable tracking. It’s suitable for scalping or swing setups, and the internal logic is optimized for real trading conditions, not just visual backtests.
Pine Script® strategy
by AlgowayConnector
MMTools - Backtester❖ Overview Backtester is a script implemented as a strategy, featuring multiple conditions and tools to offer an alternative way to work with Catcher. It supports both backtesting and algorithmic trading, allowing you to evaluate the indicator's performance on historical data for any instrument using the Strategy Tester. ❖ Settings ⚙️ Custom Conditions and Signals This section is intended to provide flexibility when working with Catcher. (If you intend to use Catcher alone, this section can be disregarded). You may combine the primary indicator (Catcher) with additional custom indicators to define entry and exit signals. Simply add the custom indicator to your chart, display it and then select its name in the corresponding dropdown menu. By default, the 'Close' option is selected, meaning custom conditions are disabled. Operator 'OR': An entry order is activated when either your custom signal or the primary signal occurs. Operator 'AND': An entry order is activated only when both the custom and primary signals occur simultaneously. If both 'AND' and 'OR' operators are used, enabling the 'Only Primary' option will apply the 'AND' operator only to the primary indicator. Custom Exit: Allows the strategy to close a position based on a custom signal, in addition to standard exit conditions. The first condition met will trigger the exit. Note: The strategy executes orders at the open of the next bar after the custom condition is met. ⚙️ Confirmation When enabled, the strategy will enter a position only if a specified number of signals occur within a defined lookback period. ⚙️ Exits Two types of exit mechanisms are available for take-profit and stop-loss: Timeout: Sets a maximum duration (in bars) that a trade can remain open. If this limit is exceeded, the strategy will close the position. Percentage-Based: Exit positions based on a specified percentage move. ⚙️ Start Date Specifies the starting point for the backtest. ⚙️ Plotting The green line represents the take-profit level, while the red line indicates the stop-loss level. Plotting is limited to the last 250 bars. ⚙️ Other Settings Remember to configure additional parameters under the “Properties” tab, including commissions, slippage, and pyramiding. Default commission is set at 0.05%. ❖ Access Please refer to the Author's Instructions field to request access to the script. ----------------------------------------------------------- Disclaimer The information provided by my scripts is for informational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Always do your own research before making financial decisions.
Pine Script® strategy
by MMTools
The VoVix Experiment The VoVix Experiment The VoVix Experiment is a next-generation, regime-aware, volatility-adaptive trading strategy for futures, indices, and more. It combines a proprietary VoVix (volatility-of-volatility) anomaly detector with price structure clustering and critical point logic, only trading when multiple independent signals align. The system is designed for robustness, transparency, and real-world execution. Logic: VoVix Regime Engine: Detects pre-move volatility anomalies using a fast/slow ATR ratio, normalized by Z-score. Only trades when a true regime spike is detected, not just random volatility. Cluster & Critical Point Filters: Price structure and volatility clustering must confirm the VoVix signal, reducing false positives and whipsaws. Adaptive Sizing: Position size scales up for “super-spikes” and down for normal events, always within user-defined min/max. Session Control: Trades only during user-defined hours and days, avoiding illiquid or high-risk periods. Visuals: Aurora Flux Bands (From another Original of Mine (Options Flux Flow): glow and change color on signals, with a live dashboard, regime heatmap, and VoVix progression bar for instant insight. Backtest Settings Initial capital: $10,000 Commission: Conservative, realistic roundtrip cost: 15–20 per contract (including slippage per side) I set this to $25 Slippage: 3 ticks per trade Symbol: CME_MINI:NQ1! Timeframe: 15 min (but works on all timeframes) Order size: Adaptive, 1–2 contracts Session: 5:00–15:00 America/Chicago (default, fully adjustable) Why these settings? These settings are intentionally strict and realistic, reflecting the true costs and risks of live trading. The 10,000 account size is accessible for most retail traders. 25/contract including 3 ticks of slippage are on the high side for MNQ, ensuring the strategy is not curve-fit to perfect fills. If it works here, it will work in real conditions. Forward Testing: (This is no guarantee. I've provided these results to show that executions perform as intended. Test were done on Tradovate) ALL TRADES Gross P/L: $12,907.50 # of Trades: 64 # of Contracts: 186 Avg. Trade Time: 1h 55min 52sec Longest Trade Time: 55h 46min 53sec % Profitable Trades: 59.38% Expectancy: $201.68 Trade Fees & Comm.: $(330.95) Total P/L: $12,576.55 Winning Trades: 59.38% Breakeven Trades: 3.12% Losing Trades: 37.50% Link: www.dropbox.com Inputs & Tooltips VoVix Regime Execution: Enable/disable the core VoVix anomaly detector. Volatility Clustering: Require price/volatility clusters to confirm VoVix signals. Critical Point Detector: Require price to be at a statistically significant distance from the mean (regime break). VoVix Fast ATR Length: Short ATR for fast volatility detection (lower = more sensitive). VoVix Slow ATR Length: Long ATR for baseline regime (higher = more stable). VoVix Z-Score Window: Lookback for Z-score normalization (higher = smoother, lower = more reactive). VoVix Entry Z-Score: Minimum Z-score for a VoVix spike to trigger a trade. VoVix Exit Z-Score: Z-score below which the regime is considered decayed (exit). VoVix Local Max Window: Bars to check for local maximum in VoVix (higher = stricter). VoVix Super-Spike Z-Score: Z-score for “super” regime events (scales up position size). Min/Max Contracts: Adaptive position sizing range. Session Start/End Hour: Only trade between these hours (exchange time). Allow Weekend Trading: Enable/disable trading on weekends. Session Timezone: Timezone for session filter (e.g., America/Chicago for CME). Show Trade Labels: Show/hide entry/exit labels on chart. Flux Glow Opacity: Opacity of Aurora Flux Bands (0–100). Flux Band EMA Length: EMA period for band center. Flux Band ATR Multiplier: Width of bands (higher = wider). Compliance & Transparency * No hidden logic, no repainting, no pyramiding. * All signals, sizing, and exits are fully explained and visible. * Backtest settings are stricter than most real accounts. * All visuals are directly tied to the strategy logic. * This is not a mashup or cosmetic overlay; every component is original and justified. Disclaimer Trading is risky. This script is for educational and research purposes only. Do not trade with money you cannot afford to lose. Past performance is not indicative of future results. Always test in simulation before live trading. Proprietary Logic & Originality Statement This script, “The VoVix Experiment,” is the result of original research and development. All core logic, algorithms, and visualizations—including the VoVix regime detection engine, adaptive execution, volatility/divergence bands, and dashboard—are proprietary and unique to this project. 1. VoVix Regime Logic The concept of “volatility of volatility” (VoVix) is an original quant idea, not a standard indicator. The implementation here (fast/slow ATR ratio, Z-score normalization, local max logic, super-spike scaling) is custom and not found in public TradingView scripts. 2. Cluster & Critical Point Logic Volatility clustering and “critical point” detection (using price distance from a rolling mean and standard deviation) are general quant concepts, but the way they are combined and filtered here is unique to this script. The specific logic for “clustered chop” and “critical point” is not a copy of any public indicator. 3. Adaptive Sizing The adaptive sizing logic (scaling contracts based on regime strength) is custom and not a standard TradingView feature or public script. 4. Time Block/Session Control The session filter is a common feature in many strategies, but the implementation here (with timezone and weekend control) is written from scratch. 5. Aurora Flux Bands (From another Original of Mine (Options Flux Flow) The “glowing” bands are inspired by the idea of volatility bands (like Bollinger Bands or Keltner Channels), but the visual effect, color logic, and integration with regime signals are original to this script. 6. Dashboard, Watermark, and Metrics The dashboard, real-time Sharpe/Sortino, and VoVix progression bar are all custom code, not copied from any public script. What is “standard” or “common quant practice”? Using ATR, EMA, and Z-score are standard quant tools, but the way they are combined, filtered, and visualized here is unique. The structure and logic of this script are original and not a mashup of public code. This script is 100% original work. All logic, visuals, and execution are custom-coded for this project. No code or logic is directly copied from any public or private script. Use with discipline. Trade your edge. — Dskyz, for DAFE Trading Systems
Pine Script® strategy
by DskyzInvestments
9
Dskyz (DAFE) GENESIS Dskyz (DAFE) GENESIS: Adaptive Quant, Real Regime Power Let’s be honest: Most published strategies on TradingView look nearly identical—copy-paste “open-source quant,” generic “adaptive” buzzwords, the same shallow explanations. I’ve even fallen into this trap with my own previously posted strategies. Not this time. What Makes This Unique GENESIS is not a black-box mashup or a pre-built template. It’s the culmination of DAFE’s own adaptive, multi-factor, regime-aware quant engine—built to outperform, survive, and visualize live edge in anything from NQ/MNQ to stocks and crypto. True multi-factor core: Volume/price imbalances, trend shifts, volatility compression/expansion, and RSI all interlock for signal creation. Adaptive regime logic: Trades only in healthy, actionable conditions—no “one-size-fits-all” signals. Momentum normalization: Uses rolling, percentile-based fast/slow EMA differentials, ALWAYS normalized, ALWAYS relevant—no “is it working?” ambiguity. Position sizing that adapts: Not fixed-lot, not naive—not a loophole for revenge trading. No hidden DCA or pyramiding—what you see is what you trade. Dashboard and visual system: Directly connected to internal logic. If it’s shown, it’s used—and nothing cosmetic is presented on your chart that isn’t quantifiable. 📊 Inputs and What They Mean (Read Carefully) Maximum Raw Score: How many distinct factors can contribute to regime/trade confidence (default 4). If you extend the quant logic, increase this. RSI Length / Min RSI for Shorts / Max RSI for Longs: Fine-tunes how “overbought/oversold” matters; increase the length for smoother swings, tighten floors/ceilings for more extreme signals. ⚡ Regime & Momentum Gates Min Normed Momentum/Score (Conf): Raise to demand only the strongest trends—your filter to avoid algorithmic chop. 🕒 Volatility & Session ATR Lookback, ATR Low/High Percentile: These control your system’s awareness of when the market is dead or ultra-volatile. All sizing and filter logic adapts in real time. Trading Session (hours): Easy filter for when entries are allowed; default is regular trading hours—no surprise overnight fills. 📊 Sizing & Risk Max Dollar Risk / Base-Max Contracts: All sizing is adaptive, based on live regime and volatility state—never static or “just 1 contract.” Control your max exposures and real $ risk. ATR will effect losses in high volatility times. 🔄 Exits & Scaling Stop/Trail/Scale multipliers: You choose how dynamic/flexible risk controls and profit-taking need to be. ATR-based, so everything auto-adjusts to the current market mode. Visuals That Actually Matter Dashboard (Top Right): Shows only live, relevant stats: scoring, status, position size, win %, win streak, total wins—all from actual trade engine state (not “simulated”). Watermark (Bottom Right): Momentum bar visual is always-on, regime-aware, reflecting live regime confidence and momentum normalization. If the bar is empty, you’re truly in no-momentum. If it glows lime, you’re riding the strongest possible edge. *No cosmetics, no hidden code distractions. Backtest Settings Initial capital: $10,000 Commission: Conservative, realistic roundtrip cost: 15–20 per contract (including slippage per side) I set this to $25 Slippage: 3 ticks per trade Symbol: CME_MINI:NQ1! Timeframe: 1 min (but works on all timeframes) Order size: Adaptive, 1–3 contracts No pyramiding, no hidden DCA Why these settings? These settings are intentionally strict and realistic, reflecting the true costs and risks of live trading. The 10,000 account size is accessible for most retail traders. 25/contract including 3 ticks of slippage are on the high side for NQ, ensuring the strategy is not curve-fit to perfect fills. If it works here, it will work in real conditions. Why It Wins While others put out “AI-powered” strategies with little logic or soul, GENESIS is ruthlessly practical. It is built around what keeps traders alive: - Context-aware signals, not just patterns - Tight, transparent risk - Inputs that adapt, not confuse - Visuals that clarify, not distract - Code that runs clean, efficient, and with minimal overfitting risk (try it on QQQ, AMD, SOL, etc. out of the box) Disclaimer (for TradingView compliance): Trading is risky. Futures, stocks, and crypto can result in significant losses. Do not trade with funds you cannot afford to lose. This is for educational and informational purposes only. Use in simulation/backtest mode before live trading. No past performance is indicative of future results. Always understand your risk and ownership of your trades. This will not be my last—my goal is to keep raising the bar until DAFE is a brand or I’m forced to take this private. Use with discipline, use with clarity, and always trade smarter. — Dskyz , powered by DAFE Trading Systems.
Pine Script® strategy
by DskyzInvestments
6
Parabolic RSI Strategy [ChartPrime × PineIndicators]This strategy combines the strengths of the Relative Strength Index (RSI) with a Parabolic SAR logic applied directly to RSI values. Full credit to ChartPrime for the original concept and indicator, licensed under the MPL 2.0. It provides clear momentum-based trade signals using an innovative method that tracks RSI trend reversals via a customized Parabolic SAR, enhancing traditional oscillator strategies with dynamic trend confirmation. How It Works The system overlays a Parabolic SAR on the RSI, detecting trend shifts in RSI itself rather than on price, offering early reversal insight with visual and algorithmic clarity. Core Components 1. RSI-Based Trend Detection Calculates RSI using a customizable length (default: 14). Uses upper and lower thresholds (default: 70/30) for overbought/oversold zones. 2. Parabolic SAR Applied to RSI A custom Parabolic SAR function tracks momentum within the RSI, not price. This allows the system to capture RSI trend reversals more responsively. Configurable SAR parameters: Start, Increment, and Maximum acceleration. 3. Signal Generation Long Entry: Triggered when the SAR flips below the RSI line. Short Entry: Triggered when the SAR flips above the RSI line. Optional RSI filter ensures that: Long entries only occur above a minimum RSI (e.g. 50). Short entries only occur below a maximum RSI. Built-in logic prevents new positions from being opened against trend without prior exit. Trade Modes & Controls Choose from: Long Only Short Only Long & Short Optional setting to reverse positions on opposite signal (instead of waiting for a flat close). Visual Features 1. RSI Plotting with Thresholds RSI is displayed in a dedicated pane with overbought/oversold fill zones. Custom horizontal lines mark threshold boundaries. 2. Parabolic SAR Overlay on RSI SAR dots color-coded for trend direction. Visible only when enabled by user input. 3. Entry & Exit Markers Diamonds: Mark entry points (above for shorts, below for longs). Crosses: Mark exit points. Strategy Strengths Provides early momentum reversal entries without relying on price candles. Combines oscillator and trend logic without repainting. Works well in both trending and mean-reverting markets. Easy to configure with fine-tuned filter options. Recommended Use Cases Intraday or swing traders who want to catch RSI-based reversals early. Traders seeking smoother signals than price-based Parabolic SAR entries. Users of RSI looking to reduce false positives via trend tracking. Customization Options RSI Length and Thresholds. SAR Start, Increment, and Maximum values. Trade Direction Mode (Long, Short, Both). Optional RSI filter and reverse-on-signal settings. SAR dot color customization. Conclusion The Parabolic RSI Strategy is an innovative, non-repainting momentum strategy that enhances RSI-based systems with trend-confirming logic using Parabolic SAR. By applying SAR logic to RSI values, this strategy offers early, visualized, and filtered entries and exits that adapt to market dynamics. Credit to ChartPrime for the original methodology, published under MPL-2.0.
Pine Script® strategy
by PineIndicators