Get started

Strategy!

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.
Pine Script® strategy
by TradesLuci
Adaptive Cortex Strategy (Demo)Adaptive Cortex Strategy - The Smart, Adaptive Investment System Don't Get Lost in the Market Noise. Learn to Understand the Market. Every investor faces the same dilemma: Why does a strategy that worked perfectly yesterday struggle today when the market's character changes? Because the market isn't static. It's a dynamic structure that constantly changes, breathes, and enters different regimes. So, why shouldn't your strategy adapt to this dynamism? Adaptive Cortex Strategy (ACS) What is This Strategy? The Adaptive Cortex Strategy isn't just a simple indicator that gives you buy and sell signals. It's a holistic analysis framework that attempts to understand the changing nature of the market and adapt its decision-making mechanism accordingly. Its core philosophy is to identify data-driven, high-probability investment opportunities by combining (amalgamating) many different market dynamics. The strategy's power comes from its proprietary technology, which we call the "Smart Decision Engine." This engine performs two primary functions: Market Memory: The system continuously analyzes past significant market turning points and price levels. This allows the strategy to dynamically recognize and deeply understand the current market structure. Situational Awareness: The system continuously measures the current market "mood." It detects whether we are in a strong trend or indecisive sideways movement and automatically adjusts its analysis accordingly. This allows it to adopt the most appropriate approach in each market. What Does ACS Promise? Clarity: By transforming complex market data into clear, conclusive signals, it provides you with an objective perspective during decision-making. Discipline: With its rules-based structure, it helps you protect yourself from emotional traps like fear and greed, the market's greatest enemies. Adaptation: Instead of searching for a "one-size-fits-all" strategy, it offers a system logic that "adapts to every market." Risk Management: With advanced position management modules, it constantly reminds you that preserving capital is more important than making money. What Doesn't It Promise? Guaranteed Profit or the "Holy Grail": No system in the financial markets can offer 100% certainty. Losing trades are a natural and inevitable part of professional investing. ACS aims not to eliminate losses, but to manage them and statistically maximize profit potential. This is not a "run the robot and get rich" system. ACS is your most powerful analytical assistant, but the ultimate decision and responsibility always rest with the investor. The Dream of Getting Rich Overnight: Successful investing is a marathon, not a sprint. ACS is designed to help disciplined and patient investors achieve statistical advantage over the long term. Who Is This System Suitable For? For Beginner Investors: It offers a disciplined and structured roadmap that avoids emotional decisions and confusion. For Experienced Analysts: It serves as a powerful quantitative aid that validates or challenges their technical analysis. For Investors Seeking a System: It offers a professional-grade risk management framework that offers not only entry but also position management and multiple exit scenarios.
Pine Script® strategy
by blntdmn
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.
Pine Script® strategy
by Chart0bserver
2
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.
Pine Script® indicator
by 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.
Pine Script® strategy
by ahmedturker
AstraAlgo BacktesterOVERVIEW The AstraAlgo Backtester allows traders to simulate and evaluate trading strategies directly on TradingView. By simulating trades across different timeframes and markets, it provides valuable insights into win rates, drawdowns, and overall strategy effectiveness. HOW TO GAIN ACCESS Subscribe at www.astraalgo.com and provide your TradingView username. Access is usually granted within a few hours, and you’ll receive email confirmation once activated. FEATURES Signal Modes Signal Modes are the core of the AstraAlgo Backtester, generating simulated trade signals based on historical price data. Users can choose between Off, Basic, Advanced, or Custom modes to evaluate strategies under different conditions and refine their trading approach. Adjustable Backtesting Parameters for historical simulations can be customized to test different market conditions and trading scenarios. This allows traders to measure strategy performance, including win rate, profit/loss, and risk/reward ratios, helping refine and optimize strategies before live execution. Bar Coloring Bar Coloring highlights bullish and bearish bars on historical charts, allowing traders to visually assess trend direction and trade outcomes during backtesting. This makes it easier to analyze momentum and strategy effectiveness at a glance. Astra Cloud Astra Cloud overlays dynamic support and resistance levels on historical price data. These zones adapt automatically to past market movements, helping traders identify areas where trades would have reacted, aiding strategy evaluation and optimization. CONTACT US For any questions or assistance, contact us at support@astraalgo.com or visit www.astraalgo.com.
Pine Script® strategy
by AstraAlgo
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.
Pine Script® strategy
by PineIndicators
3
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.
Pine Script® indicator
by 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.
Pine Script® strategy
by 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.
Pine Script® strategy
by osterhansi_
Quantura - Quantitative AlgorythmIntroduction “Quantura – Quantitative Algorithm” is an invite-only Pine Script strategy designed for multi-timeframe analysis, combining technical filters with user-adjustable fundamental sentiment. It was primarily developed for cryptocurrency markets but can also be applied across other assets such as Forex, stocks, and indices. The goal is to generate structured trade signals through a confluence of techniques rather than relying on a single indicator. Originality & Value Quantura is not a simple mashup of indicators. Its originality comes from how multiple layers of analysis are integrated into a single decision framework . Instead of showing indicators separately, the strategy only issues trades when several conditions align simultaneously: RSI entry triggers confirm overbought/oversold reversals. Market structure on a higher timeframe confirms trend direction. Order block detection highlights zones of concentrated supply and demand. Premium/Discount zones identify potential over- and undervaluation. HTF EMA provides trend confirmation. Optional candlestick patterns strengthen reversal or continuation signals. An optional correlation filter compares the main asset to a reference instrument. This design forces agreement between different methodologies (momentum, structure, value, volume, sentiment), which reduces noise compared to using them in isolation. Functionality & Indicators Entry trigger: RSI exits from extreme zones. Filters: Only valid when all selected filters (HTF structure, EMA, order blocks, premium/discount, candlesticks, correlation, volume) confirm the direction. Fundamental bias: User-defined sentiment and analysis settings (bullish, bearish, neutral) influence whether long or short trades are permitted. Exits: ATR-based take profit and stop loss, with optional breakeven, opposite-signal exit, and session-end exit. Visualization: Buy/Sell markers, trend-colored candles, and an optional dashboard summarizing indicator status. Parameters & Customization Timeframes: Independent HTF and LTF selection. Trading direction: Long / Short / Both. Session and weekday filters. RSI length and thresholds. Filters: HTF structure, order blocks, premium/discount, EMA, candlestick, ATR volatility, volume zones, correlation. Exit rules: ATR multipliers for TP/SL, breakeven logic, session-end exit, opposite-signal exit. Visuals: Toggle signals, candles, dashboard, custom colors. Default Properties (Strategy Settings) Initial Capital: 200,000 USD Position Size: 1 BTC Commission: 0.25% Slippage: enabled (1 tick) Pyramiding: 0 (one position at a time) Note: The position sizing of 1 BTC per trade is intentionally set for backtesting demonstration. Most traders prefer to risk 1-5% of equity. Backtesting & Performance Backtests on BTCUSD (2 years) with the above defaults showed: 103 trades Win rate: 42% Profit factor: 1.3 Maximum drawdown: 10% These results illustrate how the confluence model behaves, but they are not predictive of future performance . Users should re-test with their own preferred symbols, settings, and timeframes. Risk Management ATR-based stops and targets scale with volatility. Commission and slippage are included by default for realistic modeling. Opposite-signal exit helps capture trend reversals. Session-end exit can close intraday positions before illiquid hours. Breakeven option protects profits when available. Although the default allocation uses 1 BTC per trade for demonstration, this is not a recommendation. Users are encouraged to adjust risk sizing downwards to sustainable levels (commonly 1-5%). Limitations & Market Conditions Performs best in volatile, liquid markets (e.g., crypto). May struggle in prolonged sideways markets with low volatility. News events and fundamentals outside user inputs can override signals. Usage Guide Add “Quantura – Quantitative Algorithm” to your chart in strategy mode. Select HTF and LTF timeframes, trading direction, and session filters. Configure confluence filters (structure, EMA, order blocks, premium/discount, candlestick, correlation, volume). Set sentiment and analysis bias in fundamental settings. Adjust ATR multipliers and exits. Review buy/sell signals and analyze performance in the Strategy Tester. Author & Access Developed 100% by Quantura . Distributed as an Invite-Only script . Access is granted upon request. Details are provided in the Author’s Instructions field. Important: This description complies with TradingView’s Script Publishing Rules and House Rules. It does not guarantee profitability, avoids unrealistic claims, and explains how the strategy integrates multiple methods into a coherent decision framework.
Pine Script® strategy
by Quantura
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).
Pine Script® strategy
by Lean_Trading
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.
Pine Script® strategy
by 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 🎀 •._.·°¯((?•
Pine Script® indicator
by cnagda3
Advanced Supertrend ADX Strategy with Highest ReturnOverview This sophisticated trading strategy combines the proven Supertrend indicator with advanced momentum filters and trend strength analysis to identify high-probability long entries in trending markets. Key Features ✅ Supertrend-Based Signals: Uses optimized ATR calculations for reliable trend detection ✅ Advanced Momentum Filtering: Multiple proprietary momentum filters ensure entry quality ✅ Trend Strength Validation: ADX-based confirmation prevents false signals in weak trends ✅ Intelligent Risk Management: Dynamic stop-loss system based on price action ✅ Visual Stop Loss Indicators: Clear visual representation of risk levels How It Works The strategy enters long positions when: Supertrend indicator confirms bullish trend reversal Proprietary momentum conditions align for optimal entry timing Trend strength exceeds minimum threshold (ADX > 20) Multiple timeframe momentum filters confirm signal quality Ideal For Trending markets (stocks, forex, crypto, indices) Swing trading timeframes (15m to 4H work best) Traders seeking systematic, rule-based entries Risk-conscious traders wanting clear stop levels Settings ATR Period: Adjustable for different volatility environments (default: 10) Supertrend Factor: Fine-tune sensitivity (default: 3.0) ADX Parameters: Customize trend strength requirements Performance Notes Long-only strategy optimized for uptrending markets Works best in trending conditions, may underperform in choppy markets Designed for systematic execution with clear entry/exit rules Disclaimer Past performance does not guarantee future results. Always use proper risk management and position sizing appropriate for your account size. This is just for education purpose only and not recomanded for trading in s
Pine Script® strategy
by VikramDivekar
Signalgo Strategy ISignalgo Strategy I: Technical Overview Signalgo Strategy I is a systematically engineered TradingView strategy script designed to automate, test, and manage trend-following trades using multi-timeframe price/volume logic, volatility-based targets, and multi-layered exit management. This summary covers its operational structure, user inputs, entry and exit methodology, unique technical features, and practical application. Core Logic and Workflow Multi-Timeframe Data Synthesis User-Defined Timeframe: The user chooses a timeframe (e.g., 1H, 4H, 1D, etc.), on which all strategy signals are based. Cross-Timeframe Inputs: The strategy imports closing price, volume, and Average True Range (ATR) for the selected interval, independently from the chart’s native timeframe, enabling robust multi-timeframe analysis. Price Change & Volume Ratio: It calculates the percent change of price per bar and computes a volume ratio by comparing current volume to its 20-bar moving average—enabling detection of true “event” moves vs. normal market noise. Hype Filtering Anti-Hype Mechanism: An entry is automatically filtered out if abnormal high volume occurs without corresponding price movement, commonly observed during manipulation or announcement periods. This helps isolate genuine market-driven momentum. User Inputs Select Timeframe: Choose which interval drives signal generation. Backtest Start Date: Specify from which date historical signals are included in the strategy (for precise backtests). Take-Profit/Stop-Loss Configuration: Internally, risk levels are set as multiples of ATR and allow for three discrete profit targets. Entry Logic Trade Signal Criteria: Price change magnitude in the current bar must exceed a fixed sensitivity threshold. Volume for the bar must be significantly elevated compared to average, indicating meaningful participation. Anti-hype check must not be triggered. Bullish/Bearish Determination: If all conditions are met and price change direction is positive, a long signal triggers. If negative, a short signal triggers. Signal Debouncing: Ensures a signal triggers only when a new condition emerges, avoiding duplicate entries on flat or choppy bars. State Management: The script tracks whether an active long or short is open to avoid overlapping entries and to facilitate clean reversals. Exit Strategy Take-Profits: Three distinct profit targets (TP1, TP2, TP3) are calculated as fixed multiples of the ATR-based stop loss, adapting dynamically to volatility. Reversals: If a buy signal appears while a short is open (or vice versa), the existing trade is closed and reversed in a single step. Time-Based Exit: If, 49 bars after entry, the trade is in-profit but hasn’t reached TP1, it exits to avoid stagnation risk. Adverse Move Exit: The position is force-closed if it suffers a 10% reversal from entry, acting as a catastrophic stop. Visual Feedback: Each TP/SL/exit is plotted as a clear, color-coded line on the chart; no hidden logic is used. Alerts: Built-in TradingView alert conditions allow automated notification for both entries and strategic exits. Distinguishing Features vs. Traditional MA Strategies Event-Based, Not Just Slope-Based: While classic moving average strategies enter trades on MA crossovers or slope changes, Signalgo Strategy I demands high-magnitude price and volume confirmation on the chosen timeframe. Volume Filtering: Very few MA strategies independently filter for meaningful volume spikes. Real Market Event Focus: The anti-hype filter differentiates organic market trends from manipulated “high-volume, no-move” sessions. Three-Layer Exit Logic: Instead of a single trailing stop or fixed RR, this script manages three profit targets, time-based closures, and hard adverse thresholds. Multi-Timeframe, Not Chart-Dependent: The “main” analytical interval can be set independently from the current chart, allowing for in-depth cross-timeframe backtests and system runs. Reversal Handling: Automatic handling of signal reversals closes and flips positions precisely, reducing slippage and manual error. Persistent State Tracking: Maintains variables tracking entry price, trade status, and target/stop levels independently of chart context. Trading Application Strategy Sandbox: Designed for robust backtesting, allowing users to simulate performance across historical data for any major asset or interval. Active Risk Management: Trades are consistently managed for both fixed interval “stall” and significant loss, not just via trailing stops or fixed-day closes. Alert Driven: Can power algorithmic trading bots or notify discretionary traders the moment a qualifying market event occurs.
Pine Script® strategy
by signalgo
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
Script_Algo - High Low Range MA Crossover Strategy🎯 Core Concept This strategy uses modified moving averages crossover, built on maximum and minimum prices, to determine entry and exit points in the market. A key advantage of this strategy is that it avoids most false signals in trendless conditions, which is characteristic of traditional moving average crossover strategies. This makes it possible to improve the risk/reward ratio and, consequently, the strategy's profitability. 📊 How the Strategy Works Main Mechanism The strategy builds 4 moving averages: Two senior MAs (on high and low) with a longer period Two junior MAs (on high and low) with a shorter period Buy signal 🟢: when the junior MA of lows crosses above the senior MA of highs Sell signal 🔴: when the junior MA of highs crosses below the senior MA of lows As seen on the chart, it was potentially possible to make 9X on the WIFUSDT cryptocurrency pair in just a year and a half. However, be careful—such results may not necessarily be repeated in the future. Special Feature Position closing priority ❗: if an opposite signal arrives while a position is open, the strategy first closes the current position and only then opens a new one ⚙️ Indicator Settings Available Moving Average Types EMA - Exponential MA SMA - Simple MA SSMA - Smoothed MA WMA - Weighted MA VWMA - Volume Weighted MA RMA - Adaptive MA DEMA - Double EMA TEMA - Triple EMA Adjustable Parameters Senior MA Length - period for long-term moving averages Junior MA Length - period for short-term moving averages ✅ Advantages of the Strategy 🛡️ False Signal Protection - using two pairs of modified MAs reduces the number of false entries 🔄 Configuration Flexibility - ability to choose MA type and calculation periods ⚡ Automatic Switching - the strategy automatically closes the current position when receiving an opposite signal 📈 Visual Clarity - all MAs are displayed on the chart in different colors ⚠️ Disadvantages and Risks 📉 Signal Lag - like all MA-based strategies, it may provide delayed signals during sharp movements 🔁 Frequent Switching - in sideways markets, it may lead to multiple consecutive position openings/closings 📊 Requires Optimization - optimal parameters need to be selected for different instruments and timeframes 💡 Usage Recommendations Backtest - test the strategy's performance on historical data Optimize Parameters - select MA periods suitable for the specific trading instrument Use Filters - add additional filters to confirm signals Manage Risks - always use stop-loss and take-profit orders. You can safely connect to the exchange via webhook and enjoy trading. Good luck and profits to everyone!!
Pine Script® strategy
by Script_Algo
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
OrderVibe indicator (Invite-Only)What it is OrderVibe is a closed-source tool that visualizes market structure and volatility. It does not generate trade calls or manage orders. It draws zones/levels and optional alerts so traders can build their own process. How it works - technical overview (conceptual) * Trend regime filter (optional). Uses a sloped moving-average baseline to qualify trend and can require higher-timeframe (HTF) agreement. * Momentum gate. A smoothed, rate-of-change–style momentum must align with the trend and exceed a configurable strength threshold. * Volatility filter. ATR-based bounds suppress setups when volatility is unusually low or high for the instrument. * Order-block zones (SMC element). Marks candidate OB zones derived from pre-break structure and uses them for confluence; zones invalidate on decisive closes. * Support/Resistance. Clusters recent pivots into zones using ATR-relative distance, keeping the most relevant areas by recency/proximity. * Informational entry label. Prints on controlled retests of active zones when trend/momentum/volatility conditions are met. Labels are informational only. * Baseline stop suggestion. Suggests a protective distance based on ATR or recent swing, whichever is more conservative. * ATR TP ladder (TP1-TP10). Optional multi-level targets built from ATR multiples; per-level toggles and alerts. * Cooldown. After a label, a short cooldown prevents duplicates; invalid zones are removed automatically. * Alerts (optional). New S/R zone, new OB zone, TP reached, and related events. Why it’s not a simple mashup * Dual qualification (trend + momentum) with optional HTF agreement. * Volatility-aware suppression and ATR-normalized zone clustering. * Integrated ATR TP ladder with per-level controls and cooldown in one workflow. * Provides clear value beyond classic MA/ATR combinations by combining HTF-aware gating, ATR-relative zone clustering, and structured multi-target management. How to use * Works on any symbol; defaults are calibrated for intraday XAUUSD. * Adjust ATR lengths/ranges and TP multipliers to your instrument. * Hide unused TP levels; forward-test before using live. * Educational analytics only; no signals or advice. Disclaimer
 Analytical tool only. This is not financial advice and outcomes are not guaranteed. Use independent judgment and risk management. Access
 Access is invite-only and granted manually on TradingView. For contact details, see my Signature.
Pine Script® indicator
by ordervibe