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MACD Master Strategy Suite🧩 Overview The MACD Master Strategy Suite is not a basic MACD crossover system, but a complete backtesting tool designed for traders who want to explore and optimize MACD-based logic. This suite offers a host of configurable options that transform the standard MACD into a powerful research framework. You can test multiple entry styles, apply trend filters, run contrarian setups, and study seasonality — all from one script. ⚙️ Key Features Multiple MACD entry modes: classic cross, zero-line flip, pullback, momentum burst, divergence, and more. Dual-EMA trend filter with optional Contrarian Mode. Higher-timeframe trend confirmation. Calendar filters for weekday, month, and day-of-month testing. Realistic trade management: stop/target exits, cooldowns, and same-bar recalculation guard. Adjustable position sizing and leverage for accurate SPY-style backtests. 🧠 How It Differs From TradingView’s Built-In MACD Strategy The built-in MACD strategy uses only histogram zero-cross entries with no filters or risk controls. The MACD Master Strategy Suite expands this into a fully modular testing environment, allowing you to analyze how different MACD behaviors perform under diverse market conditions — turning MACD from a simple signal into a measurable system. ⚖️ Disclaimer For research and educational use only. This script does not constitute financial advice or guarantee performance.
Strategia Pine Script®
od ChartChow
1
Force of Strategy (FoS, Multi TF/TA, Backtest, Alerts)Introducing the FoS Trading System A comprehensive and innovative solution designed for both novice and experienced traders to enhance their intraday trading. The basic idea of creating this script is to stay profitable in any market Key Features: There are over 25 no-repaint strategies for generating buy and sell signals to choose from 10 symbols for simultaneous trading Webhook alerts in TTA format (tradingview to anywhere) pre-configured to send messages for trading cross-margin futures on major Crypto Exchanges: Binance, Bitget, BingX, Bybit, GateIO and OKX A unique automated "Strategy switcher" feature for backtesting and live trading—not just a specific strategy, but the logic behind choosing a trading one or another strategy based on backtesting data obtained in real time Advanced risk management options and backtest result metrics Higher Timeframe filters (Technical Rating, ADX, Volatility) and ability for check backtest results with 9 main higher timeframes Buy and sell signals are generated using TradingView Technical Ratings, indicators with adaptive length algorithms and various classic indicators with standard settings to avoid overfitting Next, I will describe in detail what this script does and what settings it operates with: "All Strategies" off - In the global settings block, as shown in the main chart screenshot, you select how long the script will perform backtests in days, with a limitation on the number of bars for calculations. This limitation is necessary to maintain an acceptable calculation speed. You also choose which two higher timeframes we will use for signal and filters when confirming the opening of trades - With "All Strategies" off - as in the example on the main chart screenshot, trading is carried out by strategy #1 on 10 selected tickers simultaneously. By default, I selected the 9 top-capitalized cryptocurrencies on the Bitget exchange and the chart symbol. You can change that choice of 9 non chart opened instruments and # strategy for each them - The first row in the table 1 shows some of the main choosen script settings, in attached example: initial capital 20$, leverage 50L, 20 backtest days, 3$ is invest in one deal, 60m - is chart timeframe, next 60m is higher timeframe 1 and last 90m is higher timeframe 2. In first column you see shortened to 5 characters ticker names - The exchange name in the second row determines the alert messages format I've attached another example of trading with setting "All strategies" off in the image below. In this example, trading 10 standard symbols on an hourly timeframe, 2 coins from 10: 1000SATS and DOGE have generated a profit of over $65 over the past 20 days using strategy #4 Can you browse a wide range of trading instruments and select the 10 best strategies and settings for future trading? Of course, trading is what this script is do! The parameters in the table 1 mean the following: TR - count of closed trading deals WR - Winning Rate, PF - Profit Factor MDD - Max Draw Down for all calculated time from initial capital R$ - trading profit result in usd The parameters in the table 2 is just more metrics for chart symbol: PT - result in usd Per one Trade PW - result Per Win, PL - result Per Lose ROI - Rate of Investments SR - Sharpe Ratio, MR - CalMAR ration Tx - Commision Fee in Usd R$ - trading profit result in usd again Table 2 separate trade results of backtesting for longs and shorts. In first column you see how many USD were invested in one trade, taking into account possible position splitting (will be discussed in more detail in the risk management section) Settings: "All Strategies" on, "Check Last" off When "All Strategies" is active, trading changed from 10 symbols and one strategy to all strategies and one chart symbol. If option "Check Last" is inactive you will see backtest results for each of strategy in backtest setting days. This is useful, for example, if you want to see backtest results under different settings over a long period of time for calibrating risk management or entry rules "All Strategies" on, "Check Last" on - If "All Strategies" and "Check Last" is active trading will occur on the chart symbol only for those strategies that meet the criteria of the settings block for the enabled "All Strategies" option. For example your criteria is: for last 5 trades for all strategies, open next trade only on strategy which reached ROI 25% and WinRate 50%. When strategy with this setting criteria receive Buy or Sell Signal this trade will be opened, and when trade will be close "check last" will repeat. This feature i called "Strategy switcher" -In Table 1 if strategy meet criteria you will see "Ok" label, if strategy meet criteria and have maximum from other reached ROI they labeled "Best". Chart strategy labeled "Chart", Chart and Ok labels in one time is "Chart+", "Chart" and "Best" is labeled "Best+" - The color in the first column of table 1 indicates that the strategy is currently in an open position: green means an open long position, red means an open short position. In picture bellow you will see good example for trading with check results for last 10 trades, and make desicion for trading when criteries 0.25 ROI and WinRate 50% reached for Top 2 by ROI strategies from all list of them. This example of trading logic in last 20 days (include periods when strategy don't arise 10 trades) give a profit $30+. At the bottom of the screen, you can see Labels with the numbers of the strategies that opened the trades. In this example, trades were primarily opened using strategy number 2, and the second most effective strategy after the 20-day backtest was strategy number 9 Who can promise you'll make a profit of $30 in the next 20 days with a drawdown of no more than $8 from the initial $20 with invest in one trade just 2.7$? No one. But this script guarantees that in the future it will repeat the same logic of switching trading strategies that brought profit over the last 20 days Risk management options - When a buy or sell trade is opened, you'll see three lines on the chart: a red stop-loss line (SL), a green take-profit line (TP), and a blue line representing the entry price. The trade will be closed if the high price or low price reaches the line TP or SL (no wait for bar close) and alert will be triggered once per bar when script recalculates - Several options are available to control the behavior of SL/TP lines, such as stop-loss by percentage, ATR, or Highest High (HH) and Lowest Low (LL). Take Profit can be in percent, ATR or in Risk Reward ratio. There some Trailing Stop with start trail trigger options, like ATR, percent or HH / LL - Additionally, in risk managment settings a function has been implemented for adding a position when the breakeven level expressed in the current ROI is reached for opened trade (splitting position). The position is added within the bar. - Webhook alerts in TTA format with message contained next info : Buy / Sell or adding Quantity, Leverage, SL price, TP price and close trade Keep in mind if the stop-loss changed when adding a position, the stop-loss will not be able to be higher than the current bar's low price, regardless of your settings, as backtest trades do not use intra-bar data, in this situation SL will be correct at next bar (but alert message don't be sended twice). And please note that this script does not have an option to simultaneously open trades in different directions. Only 1 trade can be opened for 1 trading instrument at a time Backtest Engine Backtest is a very important part of this script. Here describe how its calculate: - Profit or Loss is USD: close trade price * open trade quantity - open trade price * open trade quantity - open trade quantity * (open trade price + close trade price)/2 * commision fee Possible slippage or alert sending delay needed to be include in commission % which you will set in risk managment settings block, default settings is 0.15% (0,06% for open, 0,06% for close and 0,03% for possible slippage or additional fees) - Maximum Draw Down: Drawdown = (peak - current equity) / peak * 100 ; Drawdown > maxDrawdown ? maxDrawdown = Drawdown - ROI: profit result in USD / sum of all positions margin - CalMAR Ratio: ROI / (-MaxDrawDown) - Sharpe Ratio: ROI / standard deviation for (Sum of all Profits and Loses) / (Sum of all Position Margins) This description was added because in metrics i don't use parameters like "The risk-free rate of return". Keep in mind how exactly this script calculate profit and perfomance when adjusting key criteria in the strategy switching parameters block of script settings Strategies itself For trading, you can enable or disable various Higher Timeframes Filters (ADX, volatility, technical rating). With filters enabled, trades will only open when the setting parameters are reached - Strategy number 1, 2 and 3: is Higher Timeframe TradingView Technical Ratings itself, 1 is summary total rating, 2 is oscillators and 3 is moving averages. When TR filter cross filter levels trade will be open at chart bar close. By Default on chart you see Summary Technical Rating oscillator, but here the options for change it to Oscillator TR or Moving Average TR - Strategy number 4, 5 and 6: is Chart TimeFrame TR. Trades will open when its values (Summary, Oscillators and Moving Averages) reached setting buy sell level - Strategy number 7, 8 and 9: is Alternative buy sell logic for Chart TimeFrame TR, trades will open when counting rising or falling values will be reached - Strategies with number from 10 to 18: is chosen by user adaptive moving averages and oscillators indicators. There in settings you will see many different adaptive length algorithms for trading and different types of moving averages and oscillators. In tooltips in settings you will find very more information, and in settings you will see list of all indicators and algorithms (more than 30 variations). All adaptive strategies have their options in settings for calibrating and plotting - Strategies with number from 19: its can't be chosen or calibarted, this is needed for avoid overfitting, i try to found mostly time worked strategies and use its with standard settings. In future it's possible to changing current or adding additional strategies. At the time of publication this script uses: Dynamic Swing HH LL (19), Composite indicator (20), %R Exhausting with different signals (21,22,23), Pivot Point SuperTrend (24), Ichimoku Cloud (25), TSI (26), Fib Level RSI (27). I don't plot classic strategies in this script Let me explain, the value of this script is not in the strategies it includes, but in how exactly it collects the results of their work, how it filters the opening of trades, what risk management it applies and what strategy switching logic it performs. The system itself that you are now reading about represents the main value of this script Finally if you get access for this script - You will see many other not described options and possibilities like Kelly position or list of settings for adaptive strategies, also i added many usefull tooltips in script settings Happy trading, and stay tuned for updates! DISCLAIMER: No sharing, copying, reselling, modifying, or any other forms of use are authorized for this script, and the information published with them. This script is strictly for individual use. No one know future and Investments are always made at your own risk. I am not responsible for any losses you may incur. Please before investment make sure that chosen logic is enaugh profitable on virtual demo account.
Wskaźnik Pine Script®
od RGtrue
DCA with the Money Supply Index DCA with the Money Supply Index (MSI) by zdmre This strategy is based on the Money Supply Index (MSI) by zdmre and enhances it with two functional options for users: a DCA (Dollar-Cost Averaging) approach and a signal-based buy/sell mode. It’s designed to help traders and investors make data-driven, disciplined entry decisions based on monetary supply trends. 🧠 Concept Overview The Money Supply Index (MSI) provides insight into how liquidity (money supply) influences market movements. This strategy builds upon that foundation by allowing users to either: Accumulate positions over time using DCA, based on favorable MSI conditions. Execute a single buy and sell trade, optimized for bull market conditions. ⚙️ Inputs Explained General Parameters Start Bar Index / Stop Bar Index Defines the range of bars (historical data) for backtesting or strategy visualization. Long DCA Activates the DCA mode. If unchecked, the strategy operates in single-entry/single-exit signal mode. Trading Signal Enables signal-based entries and exits when the MSI reaches predefined thresholds. DCA Parameters Entry Value The MSI value that triggers a DCA buy event. When the MSI crosses below this value, the strategy considers it a favorable moment to deploy the saved capital. Saved Amount The amount of money set aside regularly (e.g., monthly) for investment. This simulates the DCA effect by accumulating capital and deploying it when conditions are optimal. Data Inputs Money Supply The data source for the Money Supply Index (default: ECONOMICS:USM2). Relational Symbol The market instrument to compare against the money supply (default: NASDAQ_DLY:NDX). This allows the strategy to measure liquidity impact on a specific market. Chart Display Options You can toggle these metrics on the chart for better visualization: Entry Price (green) – The price level of executed buys. Cash Balance (yellow) – Remaining uninvested capital. Invested Capital (red) – Total amount currently invested. Current Value (blue) – The current valuation of the investment. Profit (purple) – The total realized and unrealized profit. Trades on Chart / Signal Labels / Quantity – Enables trade markers, signal text, and position size visualization. 📈 How the Strategy Works 1️⃣ DCA Mode In DCA mode, the strategy simulates periodic savings and only invests when the MSI indicates favorable liquidity conditions (based on the Entry Value). This approach aims to achieve the best possible average entry price over time — a powerful strategy for long-term investors seeking stable accumulation with reduced emotional bias. 2️⃣ Signal-Based Mode In signal mode (with DCA disabled), the strategy performs one buy and one sell trade based on MSI turning points. It’s most effective during bull markets, where liquidity expansion supports upward momentum. This mode helps identify high-probability entry and exit zones rather than averaging in continuously. 💡 Additional Notes This strategy includes helpful metrics to monitor your personal investment performance — showing invested capital, cash reserves, and profit in real-time. The goal is to combine macroeconomic insight (money supply) with disciplined execution and capital management. ⚠️ Disclaimer This strategy is for educational and research purposes only. It does not constitute financial advice. Always conduct your own analysis before making investment decisions.
Strategia Pine Script®
od MightyCologne
OPR 4 ZonesThe OPR 4-Zone Boxes indicator visualizes four distinct market sessions on your chart by automatically drawing boxed ranges (high / low) and dotted midlines for each session. Each session box is created using time-based timestamps (timezone-aware) and updates in real time during the session. When the session closes, the box is locked to the session end, while an optional extension can display the session range for a configurable period afterward — useful for spotting retests, breakouts, and bias zones. Designed for traders who rely on session structure and price-action, OPR 4-Zone provides clear, non-intrusive visuals and is fully configurable: enable or disable individual sessions, set start/end and extension times per session, choose colors and transparency for both the primary box and the extension, and display dotted midlines to quickly gauge session control. Objects are cleaned up at the start of each new day to prevent clutter and ensure reliable behavior when scrolling or changing timeframes. Key features : - Four independent session boxes (Morning, Afternoon, Evening, Night) with separate enable switches - Timezone-aware timestamping so boxes align with the session times you want - Locked session ranges at session close and optional extension period after close - Dotted midline for quick reference to the session midpoint - Customizable colors and background transparency for both base and extended boxes - Automatic cleanup of session objects on new trading day to avoid frozen or stray boxes - Lightweight and overlay-friendly with sensible defaults for fast setup Suggested usage : Use the indicator to mark session ranges for intraday support/resistance, identify where price is trading relative to session midpoint, and watch for breakout or rejection setups near session highs/lows. Combine with volume-based or momentum indicators to confirm breakouts through the session box.
Wskaźnik Pine Script®
od bestmentality2023
Trend-Following & Breakout — Index Quant Strategy (NASDAQ)📈 Trend-Following & Breakout — Index Quant Strategy (NASDAQ & S&P 500) Type: Invite-only strategy Markets: NASDAQ 100 (NAS100 / US100 / NQ), S&P 500 (US500 / SPX), and other major equity indices. 🧠 Concept: Continuous trend model combining EWMAC (trend-following) and Donchian (breakout) signals, scaled by forecast strength and portfolio risk. ⚙️ Execution: Rebalances only on decision-bar closes, using hysteresis and a no-trade band to reduce churn. 📊 Default bias: Long-only — aligned with equity index drift. 🧩 How it works • EWMAC Trend: Difference between fast and slow EMAs, normalized by an EWMA of absolute returns. • Donchian Breakout: Distance beyond a 200-bar channel (Strict mode) or relative z-score position within it. • Forecast combination: Weighted sum of trend and breakout points, clamped to ± capPoints. • Hysteresis: Prevents quick sign flips near zero forecast. • Risk scaling: Maps forecast strength to position size using equity × risk budget × ATR-based stop distance. • Rebalance: Executes only if the required quantity change exceeds the Δqty threshold; can optionally block increases on Sundays (for CFDs). ⚙️ Default parameters Deployed on NQ / US100 / NAS100 on Daily Timeframe • Decision timeframe = 360 min (other options from 1 min to 1 week). • Trend (EWMAC): Fast = 64, Slow = 256, Vol Norm = 32, Weight = 0.8. • Breakout (Donchian): Length = 200, Mode = Strict, Weight = 0.2. • Forecast scaling: ptsPerSigma = 1.0, capPoints = 10. • Risk % per rebalance = 4 % of equity. • ATR stop: ATR(14) × 1.0. • No-trade band (Δqty) = 4 units. • Hysteresis = 2 forecast points. • Bias = Long-only (Neutral / Long-bias 50 % optional). • Skip Sunday increases = false (default). 📋 Backtest properties (documented) • Initial capital = 100 000 USD. • Commission = 0.20 % per trade. • Pyramiding = 10. • Calc on every tick = false. • Point value = 1 (for NAS100 CFD). • No financing or slippage modeled. • If using CFDs, account for overnight funding. • On futures (NQ / ES), carry is implicit. 📊 Typical behaviour • Many small scratches, a few large winners. • Performs best during multi-week / multi-month trends. • Underperforms in tight or volatile ranges. • Average hold ≈ 30 – 90 days in historical tests. 💡 Risk and performance guide (illustrative) Sharpe ≈ 1.25 Sortino ≈ 1.10 – 1.30 Max drawdown ≈ –18 % to –25 % Annual volatility ≈ 24 – 28 % CAGR ≈ 50 – 60 % (at 4 % risk) Edge ratio ≈ 5 (MFE / MAE) Historical backtests only — past performance does not guarantee future results. 🌍 Intended markets and timeframes Optimized for NASDAQ 100 and S&P 500; also effective on similar indices (DAX, Dow Jones, FTSE). Best on Daily or higher timeframes. Aligns with long-term index drift — suitable for long-bias systematic trend portfolios. ⚠️ Limitations • Backtests exclude CFD funding costs. • Trend models will have losing streaks in range-bound markets. • Designed for experienced traders seeking systematic exposure. 🔑 Requesting access Send a private TradingView message to with the text: “Request access to Trend-Following & Breakout — Index Quant Strategy.” Access is granted only on explicit request. For further information, see my TradingView Signature. 🆕 Release notes (v1.0) • Initial release (360 min TF): EWMAC 64/256 + Donchian 200 Strict. • Risk 4 %, ATR × 1.0, Long-only bias, hysteresis 2 pts, Δqty ≥ 4. • Developed for NASDAQ 100 and S&P 500 indices. • Implements continuous risk-scaled positioning and no-trade band logic. 🧾 Originality statement This strategy is original work built entirely from TradingView built-ins (EMA, ATR, Highest, Lowest). It does not reuse open-source invite-only code. Any future reuse of open scripts will be done with explicit permission and credit.
Strategia Pine Script®
od Algorific
AstraAlgo BacktesterOVERVIEW The AstraAlgo Backtester allows traders to simulate and evaluate trading strategies directly on TradingView. By simulating trades across different timeframes and markets, it provides valuable insights into win rates, drawdowns, and overall strategy effectiveness. SIGNAL MODES Signal Modes generate proprietary trade signals based on live price data. Users can choose between Off, Basic, Advanced, or Custom modes to evaluate strategies under different conditions and refine their trading approach. ADJUSTABLE BACKTESTING Parameters for historical simulations can be customized to test different market conditions and trading scenarios. This allows traders to measure strategy performance, including win rate, profit/loss, and risk/reward ratios, helping refine and optimize strategies before live execution. BAR COLORING Bar Coloring highlights bullish and bearish bars on historical charts, allowing traders to visually assess trend direction and trade outcomes during backtesting. This makes it easier to analyze momentum and strategy effectiveness at a glance. ASTRA CLOUD Astra Cloud overlays dynamic support and resistance levels on live price data. These zones adapt automatically to past market movements, helping traders identify areas where trades would have reacted, aiding strategy evaluation and optimization.
Strategia Pine Script®
od AstraAlgo
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.
Strategia Pine Script®
od MonkeyPhone
1m OPTION BUY_Multi indi-01 (P) SEMI AUTOEnter every monday choose the option price range between 50 tp 100 , set strategy for a week or 3 three days, set upper limit 120 and lower limit 30 and input your own contract size and all parameters as you wish, and execute the alert (this is how the strtegy made). if you dont have any idea of market direction execute this strtegy for put and call both. be aware this strategy may incurred loss . we r not recomending to use this strategy , this is for education purpose only, watch and analyze then take your own decision.
Wskaźnik Pine Script®
od IQ2869
1
Lead Levels TP/SL v1.3 (close-only entries)Lead Levels — close-only signals, clean execution Notice: Designed for BTC 15-minute charts only. What it shows Four reliability tiers: L1, L2, L3, L4. A black “DON’T BET” marker for extreme conditions you should skip. All triangles print only on bar close to avoid repaint. How to read ▲ BUY L1–L4: higher level → stronger confidence. ▼ SELL L1–L4: higher level → stronger confidence. DON’T BET (black): stand aside. No trade. How to trade it When a triangle prints, run a 1:1 target/stop: Long: TP +1%, SL −1%. Short: TP −1%, SL +1%. Focus on normal conditions. Skip when the black marker appears. One entry per signal. Keep sizing consistent. Why traders like it Close-only printing keeps charts honest. Simple 1:1 playbook. No guesswork.
Strategia Pine Script®
od xotjr8052
The Best Strategy Template[LuciTech]Hello Traders, This is a powerful and flexible strategy template designed to help you create, backtest, and deploy your own custom trading strategies. This template is not a ready-to-use strategy but a framework that simplifies the development process by providing a wide range of pre-built features and functionalities. What It Does The LuciTech Strategy Template provides a robust foundation for building your own automated trading strategies. It includes a comprehensive set of features that are essential for any serious trading strategy, allowing you to focus on your unique trading logic without having to code everything from scratch. Key Features The LuciTech Strategy Template integrates several powerful features to enhance your strategy development: • Advanced Risk Management: This includes robust controls for defining your Risk Percentage per Trade, setting a precise Risk-to-Reward Ratio, and implementing an intelligent Breakeven Stop-Loss mechanism that automatically adjusts your stop to the entry price once a specified profit threshold is reached. These elements are crucial for capital preservation and consistent profitability. • Flexible Stop-Loss Options: The template offers adaptable stop-loss calculation methods, allowing you to choose between ATR-Based Stop-Loss, which dynamically adjusts to market volatility, and Candle-Based Stop-Loss, which uses structural price points from previous candles. This flexibility ensures the stop-loss strategy aligns with diverse trading styles. • Time-Based Filtering: Optimize your strategy's performance by restricting trading activity to specific hours of the day. This feature allows you to avoid unfavorable market conditions or focus on periods of higher liquidity and volatility relevant to your strategy. • Customizable Webhook Alerts: Stay informed with advanced notification capabilities. The template supports sending detailed webhook alerts in various JSON formats (Standard, Telegram, Concise Telegram) to external platforms, facilitating real-time monitoring and potential integration with automated trading systems. • Comprehensive Visual Customization: Enhance your analytical clarity with extensive visual options. You can customize the colors of entry, stop-loss, and take-profit lines, and effectively visualize market inefficiencies by displaying and customizing Fair Value Gap (FVG) boxes directly on your chart. How It Does It The LuciTech Strategy Template is meticulously crafted using Pine Script, TradingView's powerful and expressive programming language. The underlying architecture is designed for clarity and modularity, allowing for straightforward integration of your unique trading signals. At its core, the template operates by taking user-defined entry and exit conditions and then applying a sophisticated layer of risk management, position sizing, and trade execution logic. For instance, when a longCondition or shortCondition is met, the template dynamically calculates the appropriate position size. This calculation is based on your specified risk_percent of equity and the stop_distance (the distance between your entry price and the calculated stop-loss level). This ensures that each trade adheres to your predefined risk parameters, a critical component of disciplined trading. The flexibility in stop-loss calculation is achieved through a switch statement that evaluates the sl_type input. Whether you choose an ATR-based stop, which adapts to market volatility, or a candle-based stop, which uses structural price points, the template seamlessly integrates these methods. The ATR calculation itself is further refined by allowing various smoothing methods (RMA, SMA, EMA, WMA), providing granular control over how volatility is measured. Time-based filtering is implemented by comparing the current bar's time with user-defined start_hour, start_minute, end_hour, and end_minute inputs. This allows the strategy to activate or deactivate trading during specific market sessions or periods of the day, a valuable tool for optimizing performance and avoiding unfavorable conditions. Furthermore, the template incorporates advanced webhook alert functionality. When a trade is executed, a customizable JSON message is formatted based on your webhook_format selection (Standard, Telegram, or Concise Telegram) and sent via alert function. This enables seamless integration with external services for real-time notifications or even automated trade execution through third-party platforms. Visual feedback is paramount for understanding strategy behavior. The template utilizes plot and fill functions to clearly display entry prices, stop-loss levels, and take-profit targets directly on the chart. Customizable colors for these elements, along with dedicated options for Fair Value Gap (FVG) boxes, enhance the visual analysis during backtesting and live trading, making it easier to interpret the strategy's actions. How It's Original The LuciTech Strategy Template distinguishes itself in the crowded landscape of TradingView scripts through its unique combination of integrated, advanced risk management features, highly flexible stop-loss methodologies, and sophisticated alerting capabilities, all within a user-friendly and modular framework. While many templates offer basic entry/exit signal integration, LuciTech goes several steps further by providing a robust, ready-to-use infrastructure for managing the entire trade lifecycle once a signal is generated. Unlike templates that might require users to piece together various risk management components or code complex stop-loss logic from scratch, LuciTech offers these critical functionalities out-of-the-box. The inclusion of dynamic position sizing based on a user-defined risk percentage, a configurable risk-to-reward ratio, and an intelligent breakeven mechanism significantly elevates its utility. This comprehensive approach to capital preservation and profit targeting is a cornerstone of professional trading and is often overlooked or simplified in generic templates. Furthermore, the template's provision for multiple stop-loss calculation types—ATR-based for volatility adaptation, and candle-based for structural support/resistance—demonstrates a deep understanding of diverse trading strategies. The underlying code for these calculations is already implemented, saving developers considerable time and effort. The subtle yet powerful inclusion of FVG (Fair Value Gap) related inputs also hints at advanced price action concepts, offering a sophisticated layer of analysis and execution that is not commonly found in general-purpose templates. The advanced webhook alerting system, with its support for various JSON formats tailored for platforms like Telegram, showcases an originality in catering to the needs of modern, automated trading setups. This moves beyond simple TradingView pop-up alerts, enabling seamless integration with external systems for real-time trade monitoring and execution. This level of external connectivity and customizable data output is a significant differentiator. In essence, the LuciTech Strategy Template is original not just in its individual features, but in how these features are cohesively integrated to form a powerful, opinionated, yet highly adaptable system. It empowers traders to focus their creative energy on developing their core entry/exit signals, confident that the underlying framework will handle the complexities of risk management, trade execution, and external communication with precision and flexibility. It's a comprehensive solution designed to accelerate the development of robust and professional trading strategies. How to Modify the Logic to Apply Your Strategy The LuciTech Strategy Template is designed with modularity in mind, making it exceptionally straightforward to integrate your unique trading strategy logic. The template provides a clear separation between the core strategy management (risk, position sizing, exits) and the entry signal generation. This allows you to easily plug in your own buy and sell conditions without altering the robust underlying framework. Here’s a step-by-step guide on how to adapt the template to your specific trading strategy: 1. Locate the Strategy Logic Section: Open the Pine Script editor in TradingView and navigate to the section clearly marked with the comment //Strategy Logic Example:. This is where the template’s placeholder entry conditions (a simple moving average crossover) are defined. 2. Define Your Custom Entry Conditions: Within this section, you will find variables such as longCondition and shortCondition. These are boolean variables that determine when a long or short trade should be initiated. Replace the existing example logic with your own custom buy and sell conditions. Your conditions can be based on any combination of indicators, price action patterns, candlestick formations, or other market analysis techniques. For example, if your strategy involves a combination of RSI and MACD, you would define longCondition as (rsi > 50 and macd_line > signal_line) and shortCondition as (rsi < 50 and macd_line < signal_line). 3. Leverage the Template’s Built-in Features: Once your longCondition and shortCondition are defined, the rest of the template automatically takes over. The integrated risk management module will calculate the appropriate position size based on your Risk % input and the chosen Stop Loss Type. The Risk:Reward ratio will determine your take-profit levels, and the Breakeven at R feature will manage your stop-loss dynamically. The time filter (Use Time Filter) will ensure your trades only occur within your specified hours, and the webhook alerts will notify you of trade executions.
Strategia Pine Script®
od TradesLuci
DMI Toolbox StrategyThe Directional Movement Index (DMI) was originally developed by J. Welles Wilder Jr. in 1978. Wilder introduced the DMI along with the Average Directional Index (ADX) in his book, “New Concepts in Technical Trading Systems,” which became a foundational reference for technical analysis. The indicator can offer a myriad of signals for building a trading strategy. In an effort to provide the user with a meaningful way to evaluate these signals, this DMI Toolbox Strategy offers the chance to back-test various combinations and permutations of DMI signals on long trades. By default it will open a long position on the +DI (upward movement) crossing above the -DI (downward movement). By default, It exits long positions when the ADX (trend strength) reverses. Suggested Use Try a wide variety of long entry and exit signals across many different timeframes to see what is most effective for the item you wish to trade. There is a table in the upper right corner that will give a quick view of which signal is dominant across 5 timeframes, based on your current settings. Adjust the pyramidding, slippage, and commission values to more closely match your situation. Visual Helpers The DMI indicator has been altered to include a smoothed version of the ADX, as well as a colored background to show which signal is dominant (+DI or -DI). Small up arrows call your attention to ADX crossovers that may indicate a significant threshold in trend strength.
Strategia Pine Script®
od Chart0bserver
3
Volume Profile Auto POC📌 Overview Volume Profile Auto POC is a trend-following strategy that uses the automatically calculated Point of Control (POC) from the volume profile, combined with ATR zones, to capture reversals and breakouts. By basing decisions on volume concentration, it dynamically visualizes the price levels most watched by market participants. ⚠️ This strategy is provided for educational and research purposes only. Past performance does not guarantee future results. 🎯 Strategy Objectives Automatically detect the volume concentration area (POC) to improve entry accuracy Optimize risk management through ATR-based volatility adjustment Provide early and consistent signals when trends emerge ✨ Key Features Automatic POC Detection : Updates the volume profile over a defined lookback window in real time ATR Zone Integration : Defines a POC ± 0.5 ATR zone to clarify potential reversals/breakouts Visual Support : Plots the POC line and zones on the chart for intuitive decision-making 📊 Trading Rules Long Entry: Price breaks above the POC + 0.5 ATR zone Volume is above average to support the breakout Short Entry: Price breaks below the POC - 0.5 ATR zone Volume is above average to support the downside move Exit (or Reverse Position): Price returns to the POC area Or touches the ATR band ⚙️ Trading Parameters & Considerations Indicator Name: Volume Profile Auto POC Parameters: Lookback Bars: 50 Bins for Volume Profile: 24 ATR Length: 14 ATR Multiplier: 2.0 🖼 Visual Support POC line plotted in red POC ± 0.5 ATR zone displayed as a semi-transparent box ATR bands plotted in blue for confirmation 🔧 Strategy Improvements & Uniqueness This strategy is inspired by traditional Volume Profile + ATR analysis, while adding the improvement of a sliding-window mechanism for automatic POC updates. Compared with conventional trend-following approaches, its strength lies in combining both price and volume perspectives for decision-making. ✅ Summary Volume Profile Auto POC automatically extracts key market levels (POC) and combines them with ATR-based zones, providing a responsive trend-following method. It balances clarity with practicality, aiming for both usability and reproducibility. ⚠️ This strategy is based on historical data and does not guarantee future profits. Always use proper risk management when applying it.
Wskaźnik Pine Script®
od PakunFX
Siege Gold Strategy-1m Siege Gold Strategy - An Advanced Trading Strategy with a Multi-Confirmation System This powerful indicator is designed to help you base your trading decisions on solid foundations. Thanks to its advanced algorithms and multi-confirmation mechanism, it helps you understand market trends more clearly. Key Features Trend Pivot Points: Instantly identify trend reversals and potential support/resistance levels with intelligent pivot points that react to real-time price movements. This allows you to analyze the trend's strength and direction more accurately. Relative Strength Index (RSI) Integration: We combine the classic overbought/oversold signals of the RSI with our custom strategies to generate more reliable and filtered signals. This integration minimizes false signals. "Range" Module: This feature measures the volatility range the price is currently in, showing whether the market is consolidating or moving. This helps reduce the risk of making incorrect trades in sideways markets. Who Is This For? Traders who follow trend-following strategies. Anyone who wants to automatically determine support and resistance levels. Those looking for a multi-confirmation mechanism instead of relying on a single indicator. Anyone who wants to generate more reliable trading signals. This strategy can be used in the XAUUSD pair, as well as in crypto and forex markets. To use this strategy more accurately, we encourage you to watch a few videos. It's important to remember that every instrument and indicator setting yields different results, and we cannot guarantee that you will make a profit.
Strategia Pine Script®
od ahmedturker
Dynamic Swing Anchored VWAP STRAT (Zeiierman/PineIndicators)Dynamic Swing Anchored VWAP STRATEGY — Zeiierman × PineIndicators (Pine Script v6) A pivot-to-pivot Anchored VWAP strategy that adapts to volatility, enters long on bullish structure, and closes on bearish structure. Built for TradingView in Pine Script v6. Full credits to zeiierman. Repainting notice: The original indicator logic is repainting. Swing labels (HH/HL/LH/LL) are finalized after enough bars have printed, so labels do not occur in real time. It is not possible to execute at historical label points. Treat results as educational and validate with Bar Replay and paper trading before considering any discretionary use. Concept The script identifies swing highs/lows over a user-defined lookback ( Swing Period ). When structure flips (most recent swing low is newer than the most recent swing high, or vice versa), a new regime begins. At each confirmed pivot, a fresh Anchored VWAP segment is started and updated bar-by-bar using an EWMA-style decay on price×volume and volume. Responsiveness is controlled by Adaptive Price Tracking (APT) . Optionally, APT auto-adjusts with an ATR ratio so that high volatility accelerates responsiveness and low volatility smooths it. Longs are opened/held in bullish regimes and closed when the regime turns bearish. No short positions are taken by design. How it works (under the hood) Swing detection: Uses ta.highestbars / ta.lowestbars over prd to update swing highs (ph) and lows (pl), plus their bar indices (phL, plL). Regime logic: If phL > plL → bullish regime; else → bearish regime. A change in this condition triggers a re-anchor of the VWAP at the newest pivot. Adaptive VWAP math: APT is converted to an exponential decay factor ( alphaFromAPT ), then applied to running sums of price×volume and volume, producing the current VWAP estimate. Rendering: Each pivot-anchored VWAP segment is drawn as a polyline and color-coded by regime. Optional structure labels (HH/HL/LH/LL) annotate the swing character. Orders: On bullish flips, strategy.entry("L") opens/maintains a long; on bearish flips, strategy.close("L") exits. Inputs & controls Swing Period (prd) — Higher values identify larger, slower swings; lower values catch more frequent pivots but add noise. Adaptive Price Tracking (APT) — Governs the VWAP’s “half-life.” Smaller APT → faster/closer to price; larger APT → smoother/stabler. Adapt APT by ATR ratio — When enabled, APT scales with volatility so the VWAP speeds up in turbulent markets and slows down in quiet markets. Volatility Bias — Tunes the strength of APT’s response to volatility (above 1 = stronger effect; below 1 = milder). Style settings — Colors for swing labels and VWAP segments, plus line width for visibility. Trade logic summary Entry: Long when the swing structure turns bullish (latest swing low is more recent than the last swing high). Exit: Close the long when structure turns bearish. Position size: qty = strategy.equity / close × 5 (dynamic sizing; scales with account equity and instrument price). Consider reducing the multiplier for a more conservative profile. Recommended workflow Apply to instruments with reliable volume (equities, futures, crypto; FX tick volume can work but varies by broker). Start on your preferred timeframe. Intraday often benefits from smaller APT (more reactive); higher timeframes may prefer larger APT (smoother). Begin with defaults ( prd=50, APT=20 ); then toggle “Adapt by ATR” and vary Volatility Bias to observe how segments tighten/loosen. Use Bar Replay to watch how pivots confirm and how the strategy re-anchors VWAP at those confirmations. Layer your own risk rules (stops/targets, max position cap, session filters) before any discretionary use. Practical tips Context filter: Consider combining with a higher-timeframe bias (e.g., daily trend) and using this strategy as an entry timing layer. First pivot preference: Some traders prefer only the first bullish pivot after a bearish regime (and vice versa) to reduce whipsaw in choppy ranges. Deviations: You can add VWAP deviation bands to pre-plan partial exits or re-entries on mean-reversion pulls. Sessions: Session-based filters (RTH vs. ETH) can materially change behavior on futures and equities. Extending the script (ideas) Add stops/targets (e.g., ATR stop below last swing low; partial profits at k×VWAP deviation). Introduce mirrored short logic for two-sided testing. Include alert conditions for regime flips or for price-VWAP interactions. Incorporate HTF confirmation (e.g., only long when daily VWAP slope ≥ 0). Throttle entries (e.g., once per regime flip) to avoid over-trading in ranges. Known limitations Repainting: Swing labels and pivot confirmations depend on future bars; historical labels can look “perfect.” Treat them as annotations, not executable signals. Execution realism: Strategy includes commission and slippage fields, yet actual fills differ by venue/liquidity. No guarantees: Past behavior does not imply future results. This publication is for research/education only and not financial advice. Defaults (backtest environment) Initial capital: 10,000 Commission value: 0.01 Slippage: 1 Overlay: true Max bars back: 5000; Max labels/polylines set for deep swing histories Quick checklist Add to chart and verify that the instrument has volume. Use defaults, then tune APT and Volatility Bias with/without ATR adaptation. Observe how each pivot re-anchors VWAP and how regime flips drive entries/exits. Paper trade across several symbols/timeframes before any discretionary decisions. Attribution & license Original indicator concept and logic: Zeiierman — please credit the author. Strategy wrapper and publication: PineIndicators . License: CC BY-NC-SA 4.0 (Attribution-NonCommercial-ShareAlike). Respect the license when forking or publishing derivatives.
Strategia Pine Script®
od PineIndicators
9
HD_DİNAMİK SEMBOL-SİNYAL TABLO (STrend + EMA(25/99) – v6.2HD_Dynamic Symbol–Signal Table (Short/Mid/Long) — SuperTrend + EMA(25/99) — v6.2 TL;DR Invite-only indicator that builds a multi-symbol live signal table combining SuperTrend direction with EMA 25/99 state, across three timeframe groups: Short (5/15/30), Mid (45/60/120), Long (180/240/D). Top 2 rows (e.g., BTC, ETH) always show the full 3×(ST, EMA) matrix; the remaining rows show the active group to stay lightweight. The table colors & texts are highly configurable, and the indicator emits clean alert messages you can route to webhooks (e.g., your bot). 1) What it does Signal logic (per symbol & timeframe): SuperTrend direction + EMA 25 vs 99 comparison. Combination map: ST=LONG & EMA=LONG → "LONG YAP" ST=SHORT & EMA=SHORT → "SHORT YAP" ST=SHORT & EMA=LONG → "SHORT/LONG YAP" (mixed) ST=LONG & EMA=SHORT → "LONG/SHORT YAP" (mixed) Timeframe groups Short: 5/15/30 Mid: 45/60/120 Long: 180/240/D Auto mode infers the group from the chart TF; Manual mode lets you pin a group. Pinned priority rows: Row #1 and #2 (default BTC/ETH) always display all three TFs (ST & EMA pairs). Dynamic list (rows 3–30): Shows only the active group for each symbol to stay fast and readable. Implementation note: in this build the ST “up”/“down” plotting uses the SuperTrend dir sign convention where dir < 0 is rendered as Uptrend and dir > 0 as Downtrend in visuals. The table/alerts already normalize this into LONG/SHORT text. 2) Table, styling & filters Placement & fonts: position, title/group/header/body font sizes. Colors: per-cell/background for header rows, LONG/SHORT states, and distinct brand colors per symbol row (BTC=blue, ETH=amber, majors=greens, mid-caps=oranges, high-risk=reds, new/hyped=purple range). Symbol column text: “Symbol only”, “Short+Symbol”, or “Short only”. Filter: Show All / LONG YAP / SHORT YAP / SHORT/LONG YAP / LONG/SHORT YAP. (Pinned BTC/ETH still visible.) 3) Alerts & webhook messages Per-row alerts: When the active TF for a row resolves on bar close, the indicator sends: |symbol=|tf=|signal= Example: HD_ST_EMA|symbol=BINANCE:BTCUSDT|tf=15|signal=LONG YAP Configure the alert to Once per bar close and set a webhook URL if you want to forward to an execution bot. Ready-made alertconditions (Robot block): Select a single alarmSymbol and get four conditions: LONG YAP, SHORT YAP, SHORT/LONG YAP, LONG/SHORT YAP. Chart-symbol conditions: Extra alertconditions for EMA LONG/SHORT and ST LONG/SHORT on the current chart symbol, if you also want single-symbol triggers. 4) Drawing package (optional) SuperTrend line with Up/Down segments and trend-flip labels. EMA 25/99 lines and cross labels. Main mixed-state labels for the chart symbol can be toggled (LONG/SHORT & mixed cases). 5) Symbols & safety Priority inputs (#1–2) for BTC/ETH; inputs #3–30 for your list (supports formats like BINANCE:BTCUSDT or BTCUSDT.P). A basic format validator ignores obviously malformed tickers to avoid request errors. request.security() powers all multi-TF/multi-symbol reads. 6) How to use Add indicator to the chart. Choose Auto (group follows chart TF) or pick Short/Mid/Long manually. Fill your symbol list (rows 3–30). BTC & ETH are pinned at the top. Set filter (or keep “All”). (Optional) Adjust fonts/colors and the “Symbol column” text mode. Turn Alert on; set alertPrefix if you need a specific route tag. Create an alert on the indicator, Once per bar close, and (optionally) add a webhook URL. 7) Notes & limits This is an indicator (no orders are placed). Use the alerts to trigger your own automation. Designed for crypto symbols; works on other markets if your vendor supports the tickers/timeframes. Table resizes dynamically to your active list; heavy watchlists may still be constrained by platform limits. 8) Disclaimer Educational use only. Not financial advice. Past performance does not guarantee future results. Changelog v6.2 — Auto/Manual TF-grouping, pinned BTC/ETH tri-TF view, robust alert text format, color-coded priorities, safer symbol validation, ST/EMA flip labels, dynamic table sizing. Türkçe Özet Ne yapar? Birden fazla sembol için SuperTrend + EMA(25/99) durumunu üç periyot grubunda (Kısa 5/15/30 – Orta 45/60/120 – Uzun 180/240/Günlük) tek tabloda gösterir. BTC/ETH ilk iki satırda her zaman 3×(ST, EMA) birlikte görünür; diğer satırlar aktif gruba göre (performans için) tek grup gösterir. Sinyal mantığı İkisi de LONG → LONG YAP İkisi de SHORT → SHORT YAP Karışık → SHORT/LONG YAP veya LONG/SHORT YAP (ST/EMA’ya göre) Alarm & Webhook Satır bazlı alarm metni: HD_ST_EMA|symbol=...|tf=...|signal=... (bar kapanışında). “Robot” bölümünde tek bir sembol için 4 ayrı alertcondition hazır. Grafikteki sembol için ayrıca EMA LONG/SHORT ve ST LONG/SHORT koşulları da var. Kullanım Otomatik/Elle grup seç; Listeyi doldur (3–30); Filtre/renk/yazı ayarla; Alarmı aç ve Once per bar close ile kur; gerekiyorsa webhook URL ekle. Not Gösterge emir vermez; sinyalleri kendi köprüne/botuna yönlendirirsin. Yatırım tavsiyesi değildir.
Wskaźnik Pine Script®
od doganhayrullah38
EMA20 Cross Strategy with countertrades and signalsEMA20 Cross Strategy Documentation Overview The EMA20 Cross Strategy with Counter-Trades and Instant Signals is a Pine Script (version 6) trading strategy designed for the TradingView platform. It implements an Exponential Moving Average (EMA) crossover system to generate buy and sell signals, with optional trend filtering, session-based trading, instant signal processing, and visual/statistical feedback. The strategy supports counter-trades (closing opposing positions before entering new ones) and operates with a fixed trade size in EUR. Features EMA Crossover Mechanism: Uses a short-term EMA (configurable length, default: 1) and a long-term EMA (default: 20) to detect crossovers. A buy signal is generated when the short EMA crosses above the long EMA. A sell signal is generated when the short EMA crosses below the long EMA. Instant Signals: If enabled (useInstantSignals), signals are based on the current price crossing the short EMA, rather than waiting for the candle close. This allows faster trade execution but may increase sensitivity to price fluctuations. Trend Filter: Optionally filters trades based on the trend direction (useTrendFilter). Long trades are allowed only when the short EMA (or price, for instant signals) is above the long EMA. Short trades are allowed only when the short EMA (or price) is below the long EMA. Session Filter: Restricts trading to specific market hours (sessionStart, default: 09:00–17:00) if enabled (useSessionFilter). Ensures trades occur only during active market sessions, reducing exposure to low-liquidity periods. Customizable Timeframe: The EMA calculations can use a higher timeframe (e.g., 5m, 15m, 1H, 4H, 1D, default: 1H) via request.security. This allows the strategy to base signals on longer-term trends while operating on a shorter-term chart. Trade Management: Fixed trade size of €100,000 per trade (tradeAmount), with a maximum quantity cap (maxQty = 10,000) to prevent oversized trades. Counter-trades: Closes short positions before entering a long position and vice versa. Trades are executed with a minimum quantity of 1 to ensure valid orders. Visualization: EMA Lines: The short EMA is colored based on the last signal (green for buy, red for sell, gray for neutral), and the long EMA is orange. Signal Markers: Displays buy/sell signals as arrows (triangles) above/below candles if enabled (showSignalShapes). Background/Candle Coloring: Optionally colors the chart background or candles green (bullish) or red (bearish) based on the trend (useColoredBars). Statistics Display: If enabled (useStats), a label on the chart shows: Total closed trades Open trades Win rate (%) Number of winning/losing trades Profit factor (gross profit / gross loss) Net profit Maximum drawdown Configuration Inputs EMA Short Length (emaLength): Length of the short-term EMA (default: 1). Trend EMA Length (trendLength): Length of the long-term EMA (default: 20). Enable Trend Filter (useTrendFilter): Toggles trend-based filtering (default: true). Color Candles (useColoredBars): Colors candles instead of the background (default: true). Enable Session Filter (useSessionFilter): Restricts trading to specified hours (default: false). Trading Session (sessionStart): Defines trading hours (default: 09:00–17:00). Show Statistics (useStats): Displays performance stats on the chart (default: true). Show Signal Arrows (showSignalShapes): Displays buy/sell signals as arrows (default: true). Use Instant Signals (useInstantSignals): Generates signals based on live price action (default: false). EMA Timeframe (emaTimeframe): Timeframe for EMA calculations (options: 5m, 15m, 1H, 4H, 1D; default: 1H). Strategy Logic Signal Generation: Standard Mode: Signals are based on EMA crossovers (short EMA crossing long EMA) at candle close. Instant Mode: Signals are based on the current price crossing the short EMA, enabling faster reactions. Trade Execution: On a buy signal, closes any short position and opens a long position. On a sell signal, closes any long position and opens a short position. Position size is calculated as the minimum of €100,000 or available equity, divided by the current price, capped at 10,000 units. Filters: Trend Filter: Ensures trades align with the trend direction (if enabled). Session Filter: Restricts trades to user-defined market hours (if enabled). Visual Feedback EMA Lines: Provide a clear view of the short and long EMAs, with the short EMA’s color reflecting the latest signal. Signal Arrows: Large green triangles (buy) below candles or red triangles (sell) above candles for easy signal identification. Chart Coloring: Highlights bullish (green) or bearish (red) trends via background or candle colors. Statistics Label: Displays key performance metrics in a label above the chart for quick reference. Usage Notes Initial Capital: €100,000 (configurable via initial_capital). Currency: EUR (set via currency). Order Processing: Orders are processed at candle close (process_orders_on_close=true) unless instant signals are enabled. Dynamic Requests: Allows dynamic timeframe adjustments for EMA calculations (dynamic_requests=true). Platform: Designed for TradingView, compatible with any market supported by the platform (e.g., stocks, forex, crypto). Example Use Case Scenario: Trading on a 5-minute chart with a 1-hour EMA timeframe, trend filter enabled, and session filter set to 09:00–17:00. Behavior: The strategy will: Calculate EMAs on the 1-hour timeframe. Generate buy signals when the short EMA crosses above the long EMA (and price is above the long EMA). Generate sell signals when the short EMA crosses below the long EMA (and price is below the long EMA). Execute trades only during 09:00–17:00. Display green/red candles and performance stats on the chart. Limitations Instant Signals: May lead to more frequent signals, increasing the risk of false positives in volatile markets. Fixed Trade Size: Does not adjust dynamically based on market conditions beyond equity and max quantity limits. Session Filter: Simplified and may not account for complex session rules or holidays. Statistics: Displayed on-chart, which may clutter the view in smaller charts. Customization Adjust emaLength and trendLength to suit different market conditions (e.g., shorter for scalping, longer for swing trading). Toggle useInstantSignals for faster or more stable signal generation. Modify sessionStart to align with specific market hours. Disable useStats or showSignalShapes for a cleaner chart. This strategy is versatile for both manual and automated trading, offering flexibility for various markets and trading styles while providing clear visual and statistical feedback.
Strategia Pine Script®
od osterhansi_
Optimized ADX DI CCI Strategy### Key Features: - Combines ADX, DI+/-, CCI, and RSI for signal generation. - Supports customizable timeframes for indicators. - Offers multiple exit conditions (Moving Average cross, ADX change, performance-based stop-loss). - Tracks and displays trade statistics (e.g., win rate, capital growth, profit factor). - Visualizes trades with labels and optional background coloring. - Allows countertrading (opening an opposite trade after closing one). 1. **Indicator Calculation**: - **ADX and DI+/-**: Calculated using the `ta.dmi` function with user-defined lengths for DI and ADX smoothing. - **CCI**: Computed using the `ta.cci` function with a configurable source (default: `hlc3`) and length. - **RSI (optional)**: Calculated using the `ta.rsi` function to filter overbought/oversold conditions. - **Moving Averages**: Used for CCI signal smoothing and trade exits, with support for SMA, EMA, SMMA (RMA), WMA, and VWMA. 2. **Signal Generation**: - **Buy Signal**: Triggered when DI+ > DI- (or DI+ crosses over DI-), CCI > MA (or CCI crosses over MA), and optional ADX/RSI filters are satisfied. - **Sell Signal**: Triggered when DI+ < DI- (or DI- crosses over DI+), CCI < MA (or CCI crosses under MA), and optional ADX/RSI filters are satisfied. 3. **Trade Execution**: - **Entry**: Long or short trades are opened using `strategy.entry` when signals are detected, provided trading is allowed (`allow_long`/`allow_short`) and equity is positive. - **Exit**: Trades can be closed based on: - Opposite signal (if no other exit conditions are used). - MA cross (price crossing below/above the exit MA for long/short trades). - ADX percentage change exceeding a threshold. - Performance-based stop-loss (trade loss exceeding a percentage). - **Countertrading**: If enabled, closing a trade triggers an opposite trade (e.g., closing a long opens a short). 4. **Visualization**: - Labels are plotted at trade entries/exits (e.g., "BUY," "SELL," arrows). - Optional background coloring highlights open trades (green for long, red for short). - A statistics table displays real-time metrics (e.g., capital, win rates). 5. **Trade Tracking**: - Tracks the number of long/short trades, wins, and overall performance. - Monitors equity to prevent trading if it falls to zero. ### 2.3 Key Components - **Indicator Calculations**: Uses `request.security` to fetch indicator data for the specified timeframe. - **MA Function**: A custom `ma_func` handles different MA types for CCI and exit conditions. - **Signal Logic**: Combines crossover/under checks with recent bar windows for flexibility. - **Exit Conditions**: Multiple configurable exit strategies for risk management. - **Statistics Table**: Updates dynamically with trade and capital metrics. ## 3. Configuration Options The script provides extensive customization through input parameters, grouped for clarity in the TradingView settings panel. Below is a detailed breakdown of each setting and its impact. ### 3.1 Strategy Settings (Global) - **Initial Capital**: Default `10000`. Sets the starting capital for backtesting. - **Effect**: Determines the base equity for calculating position sizes and performance metrics. - **Default Quantity Type**: `strategy.percent_of_equity` (50% of equity). - **Effect**: Controls the size of each trade as a percentage of available equity. - **Pyramiding**: Default `2`. Allows up to 2 simultaneous trades in the same direction. - **Effect**: Enables multiple entries if conditions are met, increasing exposure. - **Commission**: 0.2% per trade. - **Effect**: Simulates trading fees, reducing net profit in backtesting. - **Margin**: 100% for long and short trades. - **Effect**: Assumes no leverage; adjust for margin trading simulations. - **Calc on Every Tick**: `true`. - **Effect**: Ensures real-time signal updates for precise execution. ### 3.2 Indicator Settings - **Indicator Timeframe** (`indicator_timeframe`): - **Options**: `""` (chart timeframe), `1`, `5`, `15`, `30`, `60`, `240`, `D`, `W`. - **Default**: `""` (uses chart timeframe). - **Effect**: Determines the timeframe for ADX, DI, CCI, and RSI calculations. A higher timeframe reduces noise but may delay signals. ### 3.3 ADX & DI Settings - **DI Length** (`adx_di_len`): - **Default**: `30`. - **Range**: Minimum `1`. - **Effect**: Sets the period for calculating DI+ and DI-. Longer periods smooth trends but reduce sensitivity. - **ADX Smoothing Length** (`adx_smooth_len`): - **Default**: `14`. - **Range**: Minimum `1`. - **Effect**: Smooths the ADX calculation. Longer periods produce smoother ADX values. - **Use ADX Filter** (`use_adx_filter`): - **Default**: `false`. - **Effect**: If `true`, requires ADX to exceed the threshold for signals to be valid, filtering out weak trends. - **ADX Threshold** (`adx_threshold`): - **Default**: `25`. - **Range**: Minimum `0`. - **Effect**: Sets the minimum ADX value for valid signals when the filter is enabled. Higher values restrict trades to stronger trends. ### 3.4 CCI Settings - **CCI Length** (`cci_length`): - **Default**: `20`. - **Range**: Minimum `1`. - **Effect**: Sets the period for CCI calculation. Longer periods reduce noise but may lag. - **CCI Source** (`cci_src`): - **Default**: `hlc3` (average of high, low, close). - **Effect**: Defines the price data for CCI. `hlc3` is standard, but users can choose other sources (e.g., `close`). - **CCI MA Type** (`ma_type`): - **Options**: `SMA`, `EMA`, `SMMA (RMA)`, `WMA`, `VWMA`. - **Default**: `SMA`. - **Effect**: Determines the moving average type for CCI signal smoothing. EMA is more responsive; VWMA weights by volume. - **CCI MA Length** (`ma_length`): - **Default**: `14`. - **Range**: Minimum `1`. - **Effect**: Sets the period for the CCI MA. Longer periods smooth the MA but may delay signals. ### 3.5 RSI Filter Settings - **Use RSI Filter** (`use_rsi_filter`): - **Default**: `false`. - **Effect**: If `true`, applies RSI-based overbought/oversold filters to signals. - **RSI Length** (`rsi_length`): - **Default**: `14`. - **Range**: Minimum `1`. - **Effect**: Sets the period for RSI calculation. Longer periods reduce sensitivity. - **RSI Lower Limit** (`rsi_lower_limit`): - **Default**: `30`. - **Range**: `0` to `100`. - **Effect**: Defines the oversold threshold for buy signals. Lower values allow trades in more extreme conditions. - **RSI Upper Limit** (`rsi_upper_limit`): - **Default**: `70`. - **Range**: `0` to `100`. - **Effect**: Defines the overbought threshold for sell signals. Higher values allow trades in more extreme conditions. ### 3.6 Signal Settings - **Cross Window** (`cross_window`): - **Default**: `0`. - **Range**: `0` to `5` bars. - **Effect**: Specifies the lookback period for detecting DI+/- or CCI crosses. `0` requires crosses on the current bar; higher values allow recent crosses, increasing signal frequency. - **Allow Long Trades** (`allow_long`): - **Default**: `true`. - **Effect**: Enables/disables new long trades. If `false`, only closing existing longs is allowed. - **Allow Short Trades** (`allow_short`): - **Default**: `true`. - **Effect**: Enables/disables new short trades. If `false`, only closing existing shorts is allowed. - **Require DI+/DI- Cross for Buy** (`buy_di_cross`): - **Default**: `true`. - **Effect**: If `true`, requires a DI+ crossover DI- for buy signals; if `false`, DI+ > DI- is sufficient. - **Require CCI Cross for Buy** (`buy_cci_cross`): - **Default**: `true`. - **Effect**: If `true`, requires a CCI crossover MA for buy signals; if `false`, CCI > MA is sufficient. - **Require DI+/DI- Cross for Sell** (`sell_di_cross`): - **Default**: `true`. - **Effect**: If `true`, requires a DI- crossover DI+ for sell signals; if `false`, DI+ < DI- is sufficient. - **Require CCI Cross for Sell** (`sell_cci_cross`): - **Default**: `true`. - **Effect**: If `true`, requires a CCI crossunder MA for sell signals; if `false`, CCI < MA is sufficient. - **Countertrade** (`countertrade`): - **Default**: `true`. - **Effect**: If `true`, closing a trade triggers an opposite trade (e.g., close long, open short) if allowed. - **Color Background for Open Trades** (`color_background`): - **Default**: `true`. - **Effect**: If `true`, colors the chart background green for long trades and red for short trades. ### 3.7 Exit Settings - **Use MA Cross for Exit** (`use_ma_exit`): - **Default**: `true`. - **Effect**: If `true`, closes trades when the price crosses the exit MA (below for long, above for short). - **MA Length for Exit** (`ma_exit_length`): - **Default**: `20`. - **Range**: Minimum `1`. - **Effect**: Sets the period for the exit MA. Longer periods delay exits. - **MA Type for Exit** (`ma_exit_type`): - **Options**: `SMA`, `EMA`, `SMMA (RMA)`, `WMA`, `VWMA`. - **Default**: `SMA`. - **Effect**: Determines the MA type for exit signals. EMA is more responsive; VWMA weights by volume. - **Use ADX Change Stop-Loss** (`use_adx_stop`): - **Default**: `false`. - **Effect**: If `true`, closes trades when the ADX changes by a specified percentage. - **ADX % Change for Stop-Loss** (`adx_change_percent`): - **Default**: `5.0`. - **Range**: Minimum `0.0`, step `0.1`. - **Effect**: Specifies the percentage change in ADX (vs. previous bar) that triggers a stop-loss. Higher values reduce premature exits. - **Use Performance Stop-Loss** (`use_perf_stop`): - **Default**: `false`. - **Effect**: If `true`, closes trades when the loss exceeds a percentage threshold. - **Performance Stop-Loss (%)** (`perf_stop_percent`): - **Default**: `-10.0`. - **Range**: `-100.0` to `0.0`, step `0.1`. - **Effect**: Specifies the loss percentage that triggers a stop-loss. More negative values allow larger losses before exiting. ## 4. Visual and Statistical Output - **Labels**: Displayed at trade entries/exits with arrows (↑ for buy, ↓ for sell) and text ("BUY," "SELL"). A "No Equity" label appears if equity is zero. - **Background Coloring**: Optionally colors the chart background (green for long, red for short) to indicate open trades. - **Statistics Table**: Displayed at the top center of the chart, updated on timeframe changes or trade events. Includes: - **Capital Metrics**: Initial capital, current capital, capital growth (%). - **Trade Metrics**: Total trades, long/short trades, win rate, long/short win rates, profit factor. - **Open Trade Status**: Indicates if a long, short, or no trade is open. ## 5. Alerts - **Buy Signal Alert**: Triggered when `buy_signal` is true ("Cross Buy Signal"). - **Sell Signal Alert**: Triggered when `sell_signal` is true ("Cross Sell Signal"). - **Usage**: Users can set up TradingView alerts to receive notifications for trade signals.
Strategia Pine Script®
od osterhansi_
ORB FVG Strategy with telegram V6.1Summary Intraday NY-session strategy with Opening-Range bias (09:30–10:00 NY), FVG entries (incl. optional HTF FVGs), momentum filters (LinReg slope & Williams %R), limit entries inside the zone, SL from FVG anchors, and TP via risk-reward. Includes session/trade caps, pending-order handling, auto-cancel at NY time, and optional Telegram webhook alerts. Feature Overview Opening Range & Bias: OR high/low built until 10:00 NY, then frozen. Bias from confirmed 5-minute candles (modes: Body Close, Complete Candle, Wick Only). FVG Scanner: Bull/bear FVGs (choose wick or body gaps), min size, auto-extend, mitigation cleanup (touch or 50%). HTF FVG (10 min): Optional – displayed after ≥ 2 consecutive FVGs; cleans up on touch/50%. Entry/SL/TP: Entry at X% fill (+extra %) within the FVG; SL from FVG candle / FVG-1 / FVG-2 (smart) + buffer; TP via risk-reward. Momentum Filters: LinReg slope (MLL) + Williams %R with threshold/slope filters (individually switchable). Intrabar Mode (optional): Immediate Open/intrabar entry on touch (calc_on_every_tick=true) or classic bar-close confirmation (toggle). Trade Management: Max trades/day, pending cap, auto-cancel at defined NY time, pause after first winner (optional). Telegram: Programmatic alerts via alert() with Telegram-ready JSON payload. Parameters (compact) Group Parameter Purpose Sessions Trading session, Opening range Trading/OR window (internal NY TZ) Bias Body Close / Complete Candle / Wick Only Bias confirmation relative to OR Liquidity LQ session, lookback days, cleanup points, show lines Intraday liquidity marks & cleanup FVG Min size, wick/body, colors, extend, cleanup Detection/visualization & validity HTF FVG (10 m) Toggle/Display/Colors Conservative HTF filter/POI Entry Fill %, extra %, max pending, validity (bars), cancel time, intrabar switch Execution timing, order caps, auto-cancel Stop Loss Source: Candle / -1 / -2 (smart), buffer (points) SL anchor from FVG history + safety offset Take Profit Risk-Reward (R:R) Target calculation Momentum LinReg length/min slope, W%R length/min slope, HUD Trend/momentum filters Trade Mgmt Max trades/day, pause after win Daily cap / risk cooldown Telegram Enabled, tester, interval, channel id Webhook output & test signals Debug & Info Debug panel, rejection reasons On-chart status/diagnostics Alerts / Telegram Webhook (Quick Setup) Create an alert with Condition: “Any alert() function call”. Webhook URL: api.telegram.org Message: leave empty (the strategy provides JSON via alert() – includes chat_id, parse_mode, text). Ensure your bot can post to the channel and the chat_id is valid. Repainting & Backtesting HTF series via lookahead_off on closed higher-TF candles; FVG detection on confirmed bars (barstate.isconfirmed). Intrabar/Open entries allow earlier fills but typically cause differences between backtest and live (tick granularity/slippage, limit touch on bar OHLC). For reproducibility, trade without intrabar (bar-close only). Limitations No full tick simulation; limit fills rely on bar OHLC. Liquidity “cleanup” is rule-based (not an orderbook). Telegram depends on correct webhook configuration. Tips Timeframes: M5 (intrabar) Start with modest R:R (e.g., 1.5–2.0) and tune filters carefully. Disclaimer No financial advice. Past results do not guarantee future performance. Use responsibly and follow Public Library rules. License / Credits © 2025 Lean Trading (Lennart Pomreinke). License: MPL-2.0. Changelog V06.1: Intrabar switch (Open/intrabar vs bar-close), Telegram sanitizer & tester, HTF-FVG cleanup, refined pending/cancel logic, debug panel (status & rejections).
Strategia Pine Script®
od Lean_Trading
2
FVG Ultra Assertive - Individual Filters (mtbr)FVG Ultra Assertive - Individual Filters (mtbr) What this script offers: This strategy detects and highlights FVGs (Fair Value Gaps) on the chart, providing traders with a visual and systematic approach to identify potential price inefficiencies. The script plots bullish and bearish FVG zones using customizable boxes and labels, allowing users to easily spot high-probability trading areas. In addition, it opens and closes simulated trades based on the detected FVGs, enabling full backtesting and strategy performance evaluation. It integrates multiple independent filters to validate the strength of each FVG signal before entering a trade. How it works: The script identifies: Bullish FVGs when the current low is higher than the high of two bars ago. Bearish FVGs when the current high is lower than the low of two bars ago. Once an FVG is detected, it applies three optional independent filters: GAP/ATR Filter: Measures the FVG size relative to the Average True Range (ATR). Only gaps exceeding a user-defined multiple of ATR are considered valid. Support/Resistance (S/R) Filter: Uses pivot points to check if the FVG overlaps with recent high/low pivot levels within a tolerance percentage. This ensures the gap aligns with meaningful market levels. Stochastic Filter: Applies a stochastic oscillator to confirm momentum. Bullish FVGs are validated when stochastic values are oversold, and bearish FVGs when overbought. After passing the selected filters, the strategy opens trades: LONG FVG for bullish signals (buy) SHORT FVG for bearish signals (sell) The strategy automatically closes positions when an opposite signal appears, generating a backtest report with trades, profits, and statistics. The final bullish or bearish FVG signals are plotted as colored boxes on the chart with labels “BULL FVG” or “BEAR FVG” for immediate visual reference. How to configure it for use: Use GAP/ATR Filter: Enable or disable the ATR-based filter and adjust the ATR period (ATR Length) and minimum gap multiplier (Minimum Gap x ATR). Use S/R Filter: Enable or disable the pivot-based S/R filter. Configure the pivot lookback periods (Pivot Left and Pivot Right) and the tolerance percentage (Gap Tolerance %). Use Stochastic Filter: Enable or disable stochastic confirmation. Adjust the K and D lengths (Stoch K Length and Stoch D Length) and the overbought/oversold thresholds (Stoch Overbought and Stoch Oversold). Colors: Customize the colors for bullish and bearish FVGs (FVG Bull and FVG Bear) to match your chart preferences. Usage Tips: Apply this strategy to any timeframe; shorter timeframes generate more frequent FVGs, while higher timeframes highlight stronger gaps. Combine FVG signals with other technical analysis tools for better trade confirmation. Use the box and label visualization to quickly scan charts for trade opportunities without cluttering the chart. The strategy’s trades (LONG and SHORT) provide backtesting results and performance statistics for each signal.
Strategia Pine Script®
od MestredosTradersBR
Cnagda Liquidit Trading SystemCnagda Liquidit Trading System helps spot where price is likely to trap traders and reverse, then gives simple, actionable Level to entry, place SL, and take profits with confidence. It blends imbalance zones, trend bias, order blocks, liquidity pools, high-probability fake Signal, and context-aware candle patterns into one clean workflow. 🟩🟥 Imbalance boxes: “Crowd rushed, gaps left” What it is: Green/red boxes mark fast, one-sided moves where price “skipped” orders—think FVG-like zones that often get revisited. Why it helps: Price frequently pulls back to “fill” these zones, creating clean retest entries with logical stops. ⏩How to use: Green box = potential demand retest; Red box = potential supply retest. Enter on pullback into box, not on first impulse. Put stop on far side of box and aim first targets at recent swing points. ↕️ Swing bias (HH/HL vs LH/LL): “Which way is the road?” What it is: Higher-highs/higher-lows = up-bias; Lower-highs/lower-lows = down-bias. system plots Buy/Sell OB levels aligned with that bias. Why it helps: Trading with the broader flow reduces “hero trades” against institutions. Bias gives clearer entries and cleaner drawdowns. ⏩How to use: Up-bias: look for long on Buy OB retests. Down-bias: look for short on Sell OB retests. Wait for a small rejection/engulfing to confirm before triggering. 🧱Order blocks: “Where big players remember” What it is: last opposite-colored candle before an impulsive move—these zones often hold memory and reaction. system plots these as Buy/Sell OB lines. Why it helps: Many breakouts pull back to the origin. Good entries often happen on retest, not on the breakout chase. ⏩ How to use: Let price return into the OB, show wick rejection, and decent volume. Enter with stop beyond OB; define risk-reward before entry. 📊Volume coloring: “How Volume is move?” What it is: Bar color reflects relative volume; inside bars are black. The dashboard also shows Volume and “Volume vs Prev.” Why it helps: Patterns without volume often fade; volume validates strength and intent of moves. ⏩ How to use: Favor entries where imbalance/OB/liquidity-grab coincide with higher volume. If volume is weak, reduce size or skip. 🧲 BSL/SSL liquidity pools: “Fishing for stops” What it is: Equal highs cluster stops above (BSL); equal lows cluster stops below (SSL). system plots these and highlights the nearest one (“magnet”). Why it helps: Price often sweeps these pools to trigger stops before reversing. This is a prime trap-reversal location. ⏩ How to use: Watch nearest BSL/SSL. If price wicks through and closes back inside, anticipate a reversal. Trade reaction, not first poke. When price closes beyond, consider that pool mitigated and move on. 🟢🔴 Advanced liquidity grab: “Catch fakeout” What it is: Bullish grab = makes a new low beyond a prior low but closes back above it, with a long lower wick, small body, and higher volume. Bearish is mirror. Labeled automatically. Why it helps: It exposes trap moves (stop hunts) and often precedes true direction. ⏩ How to use: Best when it aligns with a nearby imbalance/OB and supportive volume. Enter on reversal candle break or on retest. Stop goes beyond sweep wick. 🧠 Smart candlestick patterns (only in right place) What it is: Engulfing, Hammer, Shooting Star, Hanging Man, Doji (with high volume), Morning/Evening Star, Piercing—but marked “effective” only if context (swing/trend/location) agrees. Why it helps: same pattern in the wrong place is noise; in the right place, it’s signal. ⏩ How to use: Location first (BSL/SSL/OB/imbalance), then pattern. Treat pattern as trigger/confirmation—one fresh label shows to keep chart clean. 🧭 Dashboard: “Context in a glance” ⏩ Reversal Level: current swing anchor—expect turns or reactions nearby; great for alerts and planning. ⏩ Volume vs Prev + Volume: Strength meter for signal candle—higher adds conviction. ⏩ Nearest Pool: next “magnet” area—look for sweeps/rejections there. 🧩Step-by-step trading flow (with mindset) ⏩ Set bias: HH/HL = long bias, LH/LL = short bias. Counter-trend only on clean sweeps with strong confirmation. ⏩ Find magnet: Check Nearest Pool (BSL/SSL). Focus attention there; it saves screen time. ⏩ Wait for event: Look for a sweep/grab label, or sharp rejection at pool/OB/imbalance. Avoid FOMO. ⏩ Add confluence: Stack 2–3 of these—imbalance box, OB, contextual pattern, supportive volume. ⏩Plan entry: Bullish: trigger above reversal candle high or take retest of FVG/OB. Stop below sweep wick/zone. Target at least 1:1.5–1:2. Bearish: mirror above. ⏩Manage smartly: Take partials, move to breakeven or trail thoughtfully. Don’t drag stops inside zone out of emotion. 🎛️ Parameter tuning (to reduce human error) ⏩ swingLen: Smaller = faster but noisier; larger = cleaner but slower. Backtest first, then go live. ⏩ Tolerance (ATR or percent): ATR tolerance adapts to volatility (good for fast markets and lower TFs). Start around 0.15–0.30. In calm markets, try percent 0.05–0.15%. ⏩ minBarsGap: Start with 3–5 so equal highs/lows are truly equal—reduces false pools. ❌Common mistakes → ✅ Better habits ⏩Chasing every breakout → Wait for sweep/rejection, then confirm. ⏩Ignoring volume → Validate strength; cut size or skip on weak volume. ⏩Losing history of pools → If reviewing/backtesting, keep mitigated pools visible (dashed/faded). ⏩Over-tight tolerance/too small swingLen → Increases false signals; backtest to find balance. 📝 checklist (before entry) ⏩ Is there a nearby BSL/SSL and did a sweep/grab happen there? ⏩ Is there a close imbalance/OB that price can retest? ⏩ Do we have an effective pattern plus supportive volume? ⏩Is the stop beyond the wick/zone and RR ≥ 1:1.5? •?((¯°·._.• 🎀 𝐻𝒶𝓅𝓅𝓎 𝒯𝓇𝒶𝒹𝒾𝓃𝑔 🎀 •._.·°¯((?•
Wskaźnik Pine Script®
od cnagda3