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Multitimeframe

cd_VW_CxOverview The cd_VW_Cx is a sophisticated trend analysis tool designed to quantify market momentum using Multi-Period VWAP (Volume Weighted Average Price). Unlike standard indicators, this script evaluates the current price relationship across multiple historical VWAP anchors to generate a real-time "Confidence Score" ranging from -100 to +100. 💡 Key Features • Dynamic Anchoring: Seamlessly switch between Daily, Weekly, or Monthly open anchors to align with your trading style (Scalping, Day Trading, or Swing). • Algorithmic Scoring (The Score Box): The indicator compares the current VWAP against historical periods. o Score > +70: Strong Bullish Momentum. o Score < -70: Strong Bearish Momentum. • Polyline Rendering: Utilizes Pine Script v6’s advanced polyline architecture for high-performance, sleek visual plotting that doesn't clutter your chart. • Institutional Support/Resistance: Historical VWAP levels are color-coded, often acting as "invisible" magnetic zones where institutional orders are clustered. 🛠 How to Trade with cd_VW_Cx 1. Momentum Confirmation: Look for the Score Box to turn Teal (Bullish) or Red (Bearish). This indicates that the current trend has statistical backing from multiple previous sessions. 2. The Breakout Signal: The script tracks price crossovers of the current VWAP. A "Bullish Breakout" combined with a high score is a high-probability entry signal. 3. Visual Guidance: Use the custom labels to identify which specific day/week/month’s VWAP is currently being tested as support or resistance. ⚙️ Customizable Settings • Anchor Selection: Choose the calculation basis (Daily, Weekly, Monthly). • Thresholds: Adjust the sensitivity of the Bullish/Bearish alerts (Default is +/- 70). • Visuals: Full control over table positioning, font sizes, and color palettes to match your chart theme. 📢 cd_VW_Cx: Multi-Period VWAP Scoring & Analysis Guide 🔍 Overview & Visual Logic The labels next to the VWAP levels dynamically change based on your Anchor selection: • Daily Open: Displays the Day Name (e.g., Monday, Tuesday). • Weekly Open: Displays the Week Number (1 – 52). • Monthly Open: Displays the Month Number (1 – 12). • General View: ________________________________________ 🚦 How to Filter & Track Your Assets You can monitor your favorite assets using two powerful methods: 1. Real-Time Alerts Stay updated with TradingView notifications: • Per Asset: Track a single pair. • Watchlist Basis: Monitor your entire list at once. Alert Setup Guide: 2. Pine Screener Integration Filter the market effortlessly using the Pine Screener. Pine Screener View: ________________________________________ ⚙️ Settings & Configuration • Timeframe Selection: Your chart timeframe must be lower than the selected Anchor timeframe. (e.g., If "Daily Open" is selected, the timeframe should be lower than 1D). • Anchor Choice: Select Daily, Weekly, or Monthly opens. • Source Selection: Default value is set to ohlc4. Source Settings: Filtering Criteria Examples: • Bullish Filtering: Find assets with high momentum scores. • Bullish Breakout (Single Criteria): Filters assets that have closed above the current VWAP level. • Combined Strength (Score + Breakout): Filters assets that have a Score > 70 AND a fresh VWAP Breakout simultaneously. ________________________________________ ⚠️ Important Notes & Warnings • Calculation Logic: The indicator calculates levels and scores on timeframes lower than the anchor. It is best used on timeframes that are close to but lower than the anchor. • Avoid Extreme Gaps: Using a very low timeframe (e.g., 1m) with a very high anchor (e.g., Monthly) increases the risk of erroneous results. • Optimization: The default score threshold of 70 is a starting point; I recommend adjusting it based on your own trading experience. • The Power of Confluence: VWAP levels are naturally strong. Their significance increases when they coincide with institutional levels like PDH (Previous Day High), Session H/L, or HTF FVG. • Experience Matters: A high score alone is not enough for an entry. Always combine this data with your personal strategy. ________________________________________ 💬 Community & Feedback I would love to hear your suggestions regarding the scoring logic or visual improvements! Feel free to share your thoughts in the comments. Happy Trading! 🚀
อินดิเคเตอร์ Pine Script®
โดย cdikici71
5
Early Trend Warning Using MTF AnalysisAs an active trader and software professional, I build my own indicators. I built this one today which I want to share with fellow traders. If you are a trend trader then HTF/MTF analysis is very critical. It is virtually impossible to constantly track multiple tickers all the time. One should not take a buy trade when MTF is bearish and vice versa. This indicator solves this problem. The EMA Trend Warning indicator helps traders detect potential trend changes early by analyzing price interactions with multi-timeframe Exponential Moving Averages (EMAs) and their momentum. It sends instant alerts when price crosses above or below EMAs with supporting momentum, making it easier to capture bullish or bearish moves. The EMA Trend Warning indicator detects potential trend changes by monitoring price against 14-period EMAs on multiple timeframes: 15-minute, 30-minute, and 1-hour charts. It sends alerts when the price crosses above or below the EMA with supporting momentum, helping traders identify early bullish or bearish signals. How It Works: 1. Calculates 14-period EMA on 15m, 30m, and 1H charts. 2. Computes EMA slopes to determine momentum direction. 3. BUY alert triggers when price crosses above the 15m EMA and at least one EMA slope is upward. 4. SELL alert triggers when price crosses below the 15m EMA and at least one EMA slope is downward. 5. Alerts fire once per bar and track previous state to avoid repeated notifications. Features: 1. Multi-timeframe EMA monitoring. 2. Momentum confirmation with EMA slopes. 3. Instant BUY/SELL alerts. 4. Tracks previous trend state to prevent alert spam. Benefits: 1. Detects trend changes early for better entry timing. 2. Confirms trend across multiple timeframes. 3. Saves time with automated alerts. 4. Helps traders align trades with market momentum. Please consider this indicator as EARLY WARNING ONLY. Take trade based on multiple confluences post receiving any warning. I have tested it on BTCUSD since yesterday, multiple warning alerts were 100% perfect.
อินดิเคเตอร์ Pine Script®
โดย arupnj2018
Liquidity Maxing [JOAT]Liquidity Maxing - Institutional Liquidity Matrix Introduction Liquidity Maxing is an open-source strategy for TradingView built around institutional market structure concepts. It identifies structural shifts, evaluates trades through multi-factor confluence, and implements layered risk controls. The strategy is designed for swing trading on 4-hour timeframes, focusing on how institutional order flow manifests in price action through structure breaks, inducements, and liquidity sweeps. Core Functionality Liquidity Maxing performs three primary functions: Tracks market structure to identify when control shifts between buyers and sellers Scores potential trades using an eight-factor confluence system Manages position sizing and risk exposure dynamically based on volatility and user-defined limits The goal is selective trading when multiple conditions align, rather than frequent entries. Market Structure Engine The structure engine tracks three key events: Break of Structure (BOS): Price pushes beyond a prior pivot in the direction of trend Change of Character (CHoCH): Control flips from bullish to bearish or vice versa Inducement Sweeps (IDM): Market briefly runs stops against trend before moving in the real direction The structure module continuously updates strong highs and lows, labeling structural shifts visually. IDM markers are optional and disabled by default to maintain chart clarity. The trade engine requires valid structure alignment before considering entries. No structure, no trade. Eight-Factor Confluence System Instead of relying on a single indicator, Liquidity Maxing uses an eight-factor scoring system: Structure alignment with current trend RSI within healthy bands (different ranges for up and down trends) MACD momentum agreement with direction Volume above adaptive baseline Price relative to main trend EMA Session and weekend filter (configurable) Volatility expansion/contraction via ATR shifts Higher-timeframe EMA confirmation Each factor contributes one point to the confluence score. The default minimum confluence threshold is 6 out of 8, but you can adjust this from 1-8 based on your preference for trade frequency versus selectivity. Only when structure and confluence agree does the strategy proceed to risk evaluation. Dynamic Risk Management Risk controls are implemented in multiple layers: ATR-based stops and targets with configurable risk-to-reward ratio (default 2:1) Volatility-adjusted position sizing to maintain consistent risk per trade as ranges expand or compress Daily and weekly risk budgets that halt new entries once thresholds are reached Correlation cooldown to prevent clustered trades in the same direction Global circuit breaker with maximum drawdown limit and emergency kill switch If any guardrail is breached, the strategy will not open new positions. The dashboard clearly displays risk state for transparency. Market Presets The strategy includes configuration presets optimized for different market types: Crypto (BTC/ETH): RSI bands 70/30, volume multiplier 1.2, enhanced ATR scaling Forex Majors: RSI bands 75/25, volume multiplier 1.5 Indices (SPY/QQQ): RSI bands 70/30, volume multiplier 1.3 Custom: Default values for user customization For crypto assets, the strategy automatically applies ATR volatility scaling to account for higher volatility characteristics. Monitoring and Dashboards The strategy includes optional monitoring layers: Risk Operations Dashboard (top-right): Trend state Confluence score ATR value Current position size percentage Global drawdown Daily and weekly risk consumption Correlation guard state Alert mode status Performance Console (top-left): Net profit Current equity Win rate percentage Average trade value Sharpe-style ratio (rolling 50-bar window) Profit factor Open trade count Optional risk tint on chart background provides visual indication of "safe to trade" versus "halted" state. All visualization elements can be toggled on/off from the inputs for clean chart viewing or full telemetry during parameter tuning. Alerts and Automation The strategy supports alert integration with two formats: Standard alerts: Human-readable messages for long, short, and risk-halt conditions Webhook format: JSON-formatted payloads ready for external execution systems (optional) Alert messages are predictable and unambiguous, suitable for manual review or automated forwarding to execution engines. Built-in Validation Suite The strategy includes an optional validation layer that can be enabled from inputs. It checks: Internal consistency of structure and confluence metrics Sanity and ordering of risk parameters Position sizing compliance with user-defined floors and caps This validation is optional and not required for trading, but provides transparency into system operation during development or troubleshooting. Strategy Parameters Market Presets: Configuration Preset: Choose between Crypto (BTC/ETH), Forex Majors, Indices (SPY/QQQ), or Custom Market Structure Architecture: Pivot Length: Default 5 bars Filter by Inducement (IDM): Default enabled Visualize Structure: Default enabled Structure Lookback: Default 50 bars Risk & Capital Preservation: Risk:Reward Ratio: Default 2.0 ATR Period: Default 14 ATR Multiplier (Stop): Default 2.0 Max Drawdown Circuit Breaker: Default 10% Risk per Trade (% Equity): Default 1.5% Daily Risk Limit: Default 6% Weekly Risk Limit: Default 12% Min Position Size (% Equity): Default 0.25% Max Position Size (% Equity): Default 5% Correlation Cooldown (bars): Default 3 Emergency Kill Switch: Default disabled Signal Confluence: RSI Length: Default 14 Trend EMA: Default 200 HTF Confirmation TF: Default Daily Allow Weekend Trading: Default enabled Minimum Confluence Score (0-8): Default 6 Backtesting Considerations When backtesting this strategy, consider the following: Commission: Default 0.05% (adjustable in strategy settings) Initial Capital: Default $100,000 (adjustable) Position Sizing: Uses percentage of equity (default 2% per trade) Timeframe: Optimized for 4-hour charts, though can be tested on other timeframes Results will vary significantly based on: Market conditions and volatility regimes Parameter settings, especially confluence threshold Risk limit configuration Symbol characteristics (crypto vs forex vs equities) Past performance does not guarantee future results. Win rate, profit factor, and other metrics should be evaluated in context of drawdown periods, trade frequency, and market conditions. How to Use This Strategy This is a framework that requires understanding and parameter tuning, not a one-size-fits-all solution. Recommended workflow: Start on 4-hour timeframe with default parameters and appropriate market preset Run backtests and study performance console metrics: focus on drawdown behavior, win rate, profit factor, and trade frequency Adjust confluence threshold to match your risk appetite—higher thresholds mean fewer but more selective trades Set realistic daily and weekly risk budgets appropriate for your account size and risk tolerance Consider ATR multiplier adjustments based on market volatility characteristics Only connect alerts or automation after thorough testing and parameter validation Treat this as a risk framework with an integrated entry engine, not merely an entry signal generator. The risk controls are as important as the trade signals. Strategy Limitations Designed for swing trading timeframes; may not perform optimally on very short timeframes Requires sufficient market structure to identify pivots; may struggle in choppy or low-volatility environments Crypto markets require different parameter tuning than traditional markets Risk limits may prevent entries during favorable setups if daily/weekly budgets are exhausted Correlation cooldown may delay entries that would otherwise be valid Backtesting results depend on data quality and may not reflect live trading with slippage Design Philosophy Many indicators tell you when price crossed a moving average or RSI left oversold. This strategy addresses questions institutional traders ask: Who is in control of the market right now? Is this move structurally significant or just noise? Do I want to add more risk given what I've already done today/week? If I'm wrong, exactly how painful can this be? The strategy provides disciplined, repeatable answers to these questions through systematic structure analysis, confluence filtering, and multi-layer risk management. Technical Implementation The strategy uses Pine Script v6 with: Custom types for structure, confluence, and risk state management Functional programming approach for reusable calculations State management through persistent variables Optional visual elements that can be toggled independently The code is open-source and can be modified to suit individual needs. All important logic is visible in the source code. Disclaimer This script is provided for educational and informational purposes only. It is not intended as financial, investment, trading, or any other type of advice or recommendation. Trading involves substantial risk of loss and is not suitable for all investors. Past performance, whether real or indicated by historical tests of strategies, is not indicative of future results. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown. In fact, there are frequently sharp differences between backtested results and actual results subsequently achieved by any particular trading strategy. The user should be aware of the risks involved in trading and should trade only with risk capital. The authors and publishers of this script are not responsible for any losses or damages, including without limitation, any loss of profit, which may arise directly or indirectly from use of or reliance on this script. This strategy uses technical analysis methods and indicators that are not guaranteed to be accurate or profitable. Market conditions change, and strategies that worked in the past may not work in the future. Users should thoroughly test any strategy in a paper trading environment before risking real capital. Commission and slippage settings in backtests may not accurately reflect live trading conditions. Real trading results will vary based on execution quality, market liquidity, and other factors not captured in backtesting. The user assumes full responsibility for all trading decisions made using this script. Always consult with a qualified financial advisor before making investment decisions. Enjoy - officialjackofalltrades
กลยุทธ์ Pine Script®
โดย officialjackofalltrades
Multi-Fractal Trading Plan [Gemini] v22Multi-Fractal Trading Plan The Multi-Fractal Trading Plan is a quantitative market structure engine designed to filter noise and generate actionable daily strategies. Unlike standard auto-trendline indicators that clutter charts with irrelevant data, this system utilizes Fractal Geometry to categorize market liquidity into three institutional layers: Minor (Intraday), Medium (Swing), and Major (Institutional). This tool functions as a Strategic Advisor, not just a drawing tool. It calculates the delta between price and structural pivots in real-time, alerting you when price enters high-probability "Hot Zones" and generating a live trading plan on your dashboard. Core Features 1. Three-Tier Fractal Engine The algorithm tracks 15 distinct fractal lengths simultaneously, aggregating them into a clean hierarchy: Minor Structure (Thin Lines): Captures high-frequency volatility for scalping. Medium Structure (Medium Lines): Identifies significant swing points and intermediate targets. Major Structure (Thick Lines): Maps the "Institutional" defense lines where trend reversals and major breakouts occur. 2. The Strategic Dashboard A dynamic data panel in the bottom-right eliminates analysis paralysis: Floor & Ceiling Targets: Displays the precise price levels of the nearest Support and Resistance. AI Logic Output: The script analyzes market conditions to generate a specific command, such as "WATCH FOR BREAKOUT", "Near Lows (Look Long?)", or "WAIT (No Setup)". 3. "Hot Zone" Detection Never miss a critical test of structure. Dynamic Alerting: When price trades within 1% (adjustable) of a Major Trend Line, the indicator’s labels turn Bright Yellow and flash a warning (e.g., "⚠️ WATCH: MAJOR RES"). Focus: This visual cue highlights the exact moment execution is required, reducing screen fatigue. 4. The Quant Web & Markers Pivot Validation: Deep blue fractal markers (▲/▼) identify the exact candles responsible for the structure. Inter-Timeframe Web: Faint dotted lines connect Minor pivots directly to Major pivots, visualizing the "hidden" elasticity between short-term noise and long-term trend anchors. 5. Enterprise Stability Engine Engineered to solve the "Vertical Line" and "1970 Epoch" glitches common in Pine Script trend indicators. This engine is optimized for Futures (NQ/ES), Forex, and Crypto, ensuring stability across all timeframes (including gaps on ETH/RTH charts). Operational Guide Consult the Dashboard: Before executing, check the "Strategy" output. If it says "WAIT", the market is in chop. If it says "WATCH FOR BOUNCE", prepare your entry criteria. Monitor Hot Zones: A Yellow Label indicates price is testing a major liquidity level. This is your signal to watch for a rejection wick or a high-volume breakout. Utilize the Web: Use the faint web lines to find "confluence" where a short-term pullback aligns with a long-term trend line. Configuration Show History: Toggles "Ghost Lines" (Blue) to display historical structure and broken trends. Fractal Points: Toggles the geometric pivot markers. Hot Zone %: Adjusts the sensitivity of the Yellow Warning system (Default: 1%). Max Line Length: A noise filter that removes stale or "spiderweb" lines that are no longer statistically relevant.
อินดิเคเตอร์ Pine Script®
โดย CustomQuantLabs
V-Max Tactical Clock & Price make Crypto Price bigger📘 Tactical Clock & Price 14.1 — 功能介紹 / Features 這是一個輔助看盤的小工具，主要解決 TradingView 原生加密貨幣價格字體較小 以及時間顯示不直覺的問題。 This is a supplementary monitoring tool designed to address TradingView’s small native cryptocurrency price fonts and non-intuitive time displays。 動態變色價格 / Dynamic Price Coloring： 價格文字會隨當前 K 線漲跌變色（漲綠跌紅），方便觀察即時強弱。 Price text changes color based on the current candle's movement (green for up, red for down) for instant momentum tracking。 大字體設計 / Large Font Design： 採用較大的字體規格與等寬字體，確保在解析度較高或視距較遠時仍能清晰辨識價格。 Utilizes larger font scales and monospace typography to ensure price clarity on high-resolution displays or from a distance。 全球時區定義 / Global Timezone Definition： 內建時區偏移（GMT Offset）設定，使用者可根據所在城市手動調整，確保顯示時間與本地同步。 Includes a built-in GMT Offset setting, allowing users to manually adjust the time to sync with their local city。 視覺自定義 / Visual Customization： 支援自定義背景、文字與邊框顏色，可隨個人習慣調整透明度。 Supports custom background, text, and border colors with adjustable transparency to suit individual preferences。 🛡️ 支持開發 / Support Development 若工具對您有幫助，歡迎支持團隊以釋出更多公益模組。詳細支持資訊請參閱 我的個人簡介或置頂留言。 If this tool helps you, feel free to support the team to help release more public-benefit modules. For support details, please check my profile or pinned comments。
อินดิเคเตอร์ Pine Script®
โดย johnnydong
CryptoFlux Dynamo [JOAT]CryptoFlux Dynamo: Velocity Scalping Strategy This Pine Script v6 strategy is designed for cryptocurrency markets operating on 5-minute and faster timeframes. It combines volatility regime detection, multi-path signal confirmation, and adaptive risk management to identify momentum-based trading opportunities in perpetual futures markets. Core Design Principles The strategy addresses three challenges specific to cryptocurrency trading: 24/7 market operation without session boundaries requires continuous monitoring and execution logic Volatility regimes shift rapidly, demanding adaptive stop and target calculations Tick-level responsiveness is critical for capturing momentum moves before they complete Strategy Architecture 1. Signal Generation Stack The strategy uses multiple technical indicators calibrated for cryptocurrency momentum: MACD with parameters 8/21/5 (fast/slow/signal) optimized for crypto acceleration phases EMA ribbon using 8/21/34 periods with slope analysis to assess trend structure Volume impulse detection combining SMA baseline, standard deviation, and z-score filtering RSI (21 period) and MFI (21 period) for momentum confirmation Bollinger Bands and Keltner Channels for squeeze detection 2. Volatility Regime Classification The strategy normalizes ATR as a percentage of price and classifies market conditions into three regimes: Compression (< 0.8% ATR): Reduced position sizing, tighter stops (1.05x ATR), lower profit targets (1.6x ATR) Expansion (0.8% - 1.6% ATR): Standard risk parameters, balanced risk-reward (1.55x stop, 2.05x target) Velocity (> 1.6% ATR): Wider stops (2.1x ATR), amplified targets (2.8x ATR), tighter trailing offsets ATR is calculated over 21 periods and smoothed with a 13-period EMA to reduce noise from wicks. 3. Multi-Path Entry System Four independent signal pathways contribute to a composite strength score (0-100): Trend Break (30 points): Requires EMA ribbon alignment, positive slope, and structure breakout above/below recent highs/lows Momentum Surge (30 points): MACD histogram exceeds adaptive baseline, MACD line crosses signal, RSI/MFI above/below thresholds, with volume impulse confirmation Squeeze Release (25 points): Bollinger Bands compress inside Keltner Channels, then release with momentum bias Micro Pullback (15 points): Shallow retracements within trend structure that reset without breaking support/resistance Additional scoring modifiers: Volume impulse: +5 points when present, -5 when absent Regime bonus: +5 in velocity, -2 in compression Cycle bias: +5 when aligned, -5 when counter-trend Trades only execute when the composite score reaches the minimum threshold (default: 55) and all filters agree. 4. Risk Management Framework Position sizing is calculated from: RiskCapital = Equity × (riskPerTradePct / 100) StopDistance = ATR × StopMultiplier(regime) Quantity = min(RiskCapital / StopDistance, MaxExposure / Price) The strategy includes: Risk per trade: 0.65% of equity (configurable) Maximum exposure: 12% of equity (configurable) Regime-adaptive stop and target multipliers Adaptive trailing stops based on ATR and regime Kill switch that disables new entries after 6.5% drawdown Momentum fail-safe exits when MACD polarity flips or ribbon structure breaks 5. Additional Filters Cycle Oscillator : Measures price deviation from 55-period EMA. Requires cycle bias alignment (default: ±0.15%) before entry BTC Dominance Filter : Optional filter using CRYPTOCAP:BTC.D to reduce long entries during risk-off periods (rising dominance) and short entries during risk-on periods Session Filter : Optional time-based restriction (disabled by default for 24/7 operation) Strategy Parameters All default values used in backtesting: Core Controls Enable Short Structure: true Restrict to Session Window: false Execution Session: 0000-2359:1234567 (24/7) Allow Same-Bar Re-Entry: true Optimization Constants MACD Fast Length: 8 MACD Slow Length: 21 MACD Signal Length: 5 EMA Fast: 8 EMA Mid: 21 EMA Slow: 34 EMA Slope Lookback: 8 Structure Break Window: 9 Regime Intelligence ATR Length: 21 Volatility Soothing: 13 Low Vol Regime Threshold: 0.8% ATR High Vol Regime Threshold: 1.6% ATR Cycle Bias Length: 55 Cycle Bias Threshold: 0.15% BTC Dominance Feed: CRYPTOCAP:BTC.D BTC Dominance Confirmation: true Signal Pathways Volume Baseline Length: 34 Volume Impulse Multiplier: 1.15 Volume Z-Score Threshold: 0.5 MACD Histogram Smoothing: 5 MACD Histogram Sensitivity: 1.15 RSI Length: 21 RSI Momentum Trigger: 55 MFI Length: 21 MFI Momentum Trigger: 55 Squeeze Length: 20 Bollinger Multiplier: 1.5 Keltner Multiplier: 1.8 Squeeze Release Momentum Gate: 1.0 Micro Pullback Depth: 7 Minimum Composite Signal Strength: 55 Risk Architecture Risk Allocation per Trade: 0.65% Max Exposure: 12% of Equity Base Risk/Reward Anchor: 1.8 Stop Multiplier • Low Regime: 1.05 Stop Multiplier • Medium Regime: 1.55 Stop Multiplier • High Regime: 2.1 Take Profit Multiplier • Low Regime: 1.6 Take Profit Multiplier • Medium Regime: 2.05 Take Profit Multiplier • High Regime: 2.8 Adaptive Trailing Engine: true Trailing Offset Multiplier: 0.9 Quantity Granularity: 0.001 Kill Switch Drawdown: 6.5% Strategy Settings Initial Capital: $100,000 Commission: 0.04% (0.04 commission_value) Slippage: 1 tick Pyramiding: 1 (no position stacking) calc_on_every_tick: true calc_on_order_fills: true Visualization Features The strategy includes: EMA ribbon overlay (8/21/34) with customizable colors Regime-tinted background (compression: indigo, expansion: purple, velocity: magenta) Dynamic bar coloring based on signal strength divergence Signal labels for entry points On-chart dashboard displaying regime, ATR%, signal strength, position status, stops, targets, and risk metrics Recommended Usage Timeframes The strategy is optimized for 5-minute charts. It can operate on 3-minute and 1-minute timeframes for faster scalping, or 15-minute for swing confirmation. When using higher timeframes, consider: Increasing structure lookback windows Raising RSI trigger thresholds above 58 to filter noise Extending volume baseline length Markets Designed for high-liquidity cryptocurrency perpetual futures: BTC/USDT, BTC/USD perpetuals ETH perpetuals Major L1 tokens with sufficient volume For thinner order books, increase volume impulse multiplier and adjust quantity granularity to match exchange minimums. Limitations and Compromises Backtesting Considerations TradingView strategy backtesting does not replicate broker execution. Actual fills, slippage, and commissions may differ The strategy uses calc_on_every_tick=true and calc_on_order_fills=true to reduce bar-close distortions, but real execution still depends on broker infrastructure At least 200 historical bars are required to stabilize regime classification, volume baselines, and cycle context Market Structure Dependencies BTC dominance feed ( CRYPTOCAP:BTC.D ) may lag during low-liquidity periods or weekends. Consider disabling the filter if data quality degrades Volume impulse detection assumes consistent order book depth. During extreme volatility or exchange issues, volume signatures may be unreliable Regime classification based on ATR percentage assumes normal volatility distributions. During black swan events, regime thresholds may not adapt quickly enough Parameter Sensitivity Default parameters are tuned for BTC/ETH perpetuals on 5-minute charts. Different assets or timeframes require recalibration The composite signal strength threshold (55) balances selectivity vs. opportunity. Higher values reduce false signals but may miss valid setups Risk per trade (0.65%) and max exposure (12%) are conservative defaults. Aggressive scaling increases drawdown risk Execution Constraints Same-bar re-entry requires broker support for rapid order placement Quantity granularity must match exchange contract minimums Kill switch drawdown (6.5%) may trigger during normal volatility cycles, requiring manual reset Performance Expectations This strategy is a framework for momentum-based cryptocurrency trading. Performance depends on: Market conditions (trending vs. ranging) Exchange execution quality Parameter calibration for specific assets Risk management discipline Backtest results shown in publications reflect specific market conditions and parameter sets. Past performance does not indicate future results. Always forward test with paper trading or broker simulation before deploying live capital. Code Structure The strategy is organized into functional sections: Configuration groups for parameter organization Helper functions for position sizing and normalization Core indicator calculations (MACD, EMA, ATR, RSI, MFI, volume analytics) Regime classification logic Multi-path signal generation and composite scoring Entry/exit orchestration with risk management Visualization layer with dashboard and chart elements The source code is open and can be modified to suit your trading requirements. Everyone is encouraged to understand the logic before deploying and to test thoroughly in their target markets. Modification Guidelines When adapting this strategy: Document any parameter changes in your publication Test modifications across different market regimes Validate position sizing logic for your exchange's contract specifications Consider exchange-specific limitations (funding rates, liquidation mechanics, order types) Conclusion This strategy provides a structured approach to cryptocurrency momentum trading with regime awareness and adaptive risk controls. It is not a guaranteed profit system, but rather a framework that requires understanding, testing, and ongoing calibration to market conditions. You should thoroughly understand the logic, test extensively in their target markets, and manage risk appropriately. The strategy's effectiveness depends on proper parameter tuning, reliable execution infrastructure, and disciplined risk management. Disclaimer This script and its documentation are for educational and informational purposes only. They do not constitute financial advice, investment recommendations, or trading advice of any kind. Trading cryptocurrencies and derivatives involves substantial risk of loss and is not suitable for all investors. Past performance, whether real or indicated by backtesting, does not guarantee future results. This strategy is provided "as is" without any warranties or guarantees of profitability You should not rely solely on this strategy for making trading decisions Always conduct your own research and analysis before making any financial decisions Consider consulting with a qualified financial advisor before engaging in trading activities The authors and contributors are not responsible for any losses incurred from using this strategy Cryptocurrency trading can result in the loss of your entire investment Only trade with capital you can afford to lose Use this strategy at your own risk. The responsibility for any trading decisions and their consequences lies entirely with you.
กลยุทธ์ Pine Script®
โดย officialjackofalltrades
Session Breakout TrackerThis indicator identifies breakout opportunities when price breaks previous session ranges, tracking 4 distinct breakout chains: Asia → London (Primary Asia breakout during London session) London → NY (London breakout during NY session) NY → Asia (NY breakout during next Asia session) Asia → NY* (Fallback Asia breakout during NY if Chain 1 had no breakout) For each breakout, it measures the maximum distance price travels before hitting your defined stop-loss, providing exact pip/point calculations. Features : Automatic session detection (Asia: 18:00-03:00, London: 03:00-12:00, NY: 12:00-18:00 NYT) Complete session range tracking - high/low for each session Session level plotting with adjustable transparency User Inputs : Adjustable pip multiplier (0.0001 for Forex, 0.01 for JPY pairs) Customizable stop-loss distance in pips Toggle labels/table/session levels independently Adjustable session duration for optimizing strategies and back testing
อินดิเคเตอร์ Pine Script®
โดย mmrabea
Daytrading Suite: Neon TPO + FVG v6.1Here is the summary of the code and the trading guide in English. --- ### 1. Code Summary: What does the chart show? The script combines three dimensions of trading into a single chart: * **The Context (TPO / Market Profile - Yesterday):** * **Gold Zone (Center):** Yesterday's **POC (Point of Control)**. This was the "fairest price". It often acts as a magnet. * **White Dashed Lines:** The **VAH (Value Area High)** and **VAL (Value Area Low)**. Yesterday, 70% of all trading volume happened between these lines. This is the area of "Balance". * **The Structure (HTF - 1 Hour+):** * **Red/Green Boxes (Right Edge):** Automatic **Supply & Demand Zones** based on the 1-hour chart (or your setting). They indicate major resistance and support levels. * **The Timing (Entries):** * **Neon FVG Boxes (Small):** "Fair Value Gaps". These represent imbalances in price. If price revisits these, it is often your **entry signal**. * **Lines (VWAP, EMA, PDH/PDL):** Act as dynamic support and trend indicators. --- ### 2. Trading Strategy: How to use it Do not just trade every colored spot. You must combine **Location (TPO)** with **Signal (FVG)**. #### Step A: The Open (Where are we?) In the morning (or at the US Open), check where the price is relative to the **white TPO lines**. 1. **Inside the White Lines (In Balance):** * The market is undecided. Expect ranging/choppy behavior. * **Strategy:** Buy at the bottom edge (VAL), Sell at the top edge (VAH). The target is often the Gold Zone (POC) in the middle. 2. **Outside the White Lines (Imbalance):** * The market is seeking new prices. Danger of a Trend! * **Strategy:** If price breaks above VAH and tests it from above -> **Long**. If it breaks below VAL -> **Short**. #### Step B: The Setup (The High Probability Scenario) Here is the "Rejection" Setup (Long Example): 1. Price drops to the lower white line (**VAL**) or into a green **Demand Zone**. 2. It bounces (shows a wick). 3. In the process, a small **green Neon FVG** is formed. 4. **Entry:** Limit Order at the top of the Neon FVG. 5. **Target:** The Gold Zone (POC) or the upper white line (VAH). 6. **Stop Loss:** Below the recent swing low. #### Step C: Warning Signals (When NOT to trade) * **In "No Man's Land":** If the price is sitting right in the middle between Gold (POC) and White (VAH/VAL), do nothing. The risk is 50/50. Wait until price hits an edge. * **Against the Flow:** If EMA 9 and 21 are pointing steeply downwards, do not buy blindly at the VAL just because the line is there. Wait for confirmation (FVG). ### Pre-Trade Checklist: 1. **Level:** Am I at a white line (VAH/VAL) or the Gold Zone (POC)? 2. **Structure:** Do I have an HTF Demand/Supply Zone backing me up? 3. **Trigger:** Do I see a Neon FVG pointing in my direction?
อินดิเคเตอร์ Pine Script®
โดย socke1986
1
Iridescent Liquidity Prism [JOAT]Iridescent Liquidity Prism | Peer Momentum HUD A multi-layered order-flow indicator that combines microstructure analysis, smart-money footprint detection, and intermarket momentum signals. The script uses dynamic color-shifting themes to visualize liquidity patterns, structure, and peer momentum data directly on the chart. There is so much to choose from inside the settings, if you think it's a mess on the chart it's because you have to personally customize it based on your needs... Core Functionality The indicator calculates and displays several analytical layers simultaneously: Order-Flow Imbalance (OFI): Calculates buy vs. sell volume pressure using volume-weighted price distribution within each bar. Uses an EMA filter (default: 55 periods) to smooth the signal. Values are normalized using standard deviation to identify significant imbalances. Smart Money Footprints: Detects accumulation and distribution zones by comparing volume rate of change (ROC) against price ROC. When volume ROC exceeds a threshold (default: 65%) and price ROC is positive, accumulation is detected. When volume ROC is high but price ROC is negative, distribution is detected. Fractal Structure Mapping: Identifies pivot highs and lows using a fractal detection algorithm (default: 5-bar period). Maintains a rolling window of recent structure points (default: 4 levels) and draws connecting lines to show trend structure. Fair Value Gap (FVG) Detection: Automatically detects price gaps where three consecutive candles create an imbalance. Bullish FVGs occur when the current low exceeds the high two bars ago. Bearish FVGs occur when the current high is below the low two bars ago. Gaps persist for a configurable duration (default: 320 bars) and fade when price fills the gap. Liquidity Void Detection: Identifies candles where the high-low range exceeds an ATR threshold (default: 1.7x ATR) while volume is below average (default: 65% of 20-bar average). These conditions suggest areas where liquidity may be thin. Price/Volume Divergence: Uses linear regression to detect when price trend direction disagrees with volume trend direction. A divergence alert appears when price is trending up while volume is trending down, or vice versa. Peer Momentum Heatmap (PMH): Calculates composite momentum scores for up to 6 symbols across 4 timeframes. Each score combines RSI (default: 14 periods) and StochRSI (default: 14 periods, 3-bar smooth) to create a momentum composite between -1 and +1. The highest absolute momentum score across all combinations is displayed in the HUD. Custom settings using Fractal Pivots, Skeleton Structure, Pulse Liquidity Voids, Bottom Colorful HeatMaps, and Iridescent Field. --- Visual Components Spectrum Aura Glow: ATR-weighted bands (default: 0.25x ATR) that expand and contract around price action, indicating volatility conditions. The thickness adapts to market volatility. Chromatic Flow Trail: A blended line combining EMA and WMA of price (default: 8-period EMA blended with WMA at 65% ratio). The trail uses gradient colors that shift based on a phase oscillator, creating an iridescent effect. Volume Heat Projection: Creates horizontal volume profile bands at price levels (default: 14 levels). Scans recent bars (default: 150 bars) to calculate volume concentration. Each level is colored based on its volume density relative to the maximum volume level. Structure Skeleton: Dashed lines connecting fractal pivot points. Uses two layers: a primary line (2-3px width) and an optional glow overlay (4-5px width) for enhanced visibility. Fractal Markers: Diamond shapes placed at pivot high and low points. Color-coded: primary color for highs, secondary color for lows. Iridescent Color Themes: Five color themes available: Iridescent (default), Pearlescent, Prismatic, ColorShift, and Metallic. Colors shift dynamically using a phase oscillator that cycles through the color spectrum based on bar index and a speed multiplier (default: 0.35). --- HUD Console Metrics The right-side HUD displays seven key metrics: Flow: Shows OFI status: ▲ FLOW BUY when normalized OFI exceeds imbalance threshold (default: 2.2), ▼ FLOW SELL when below -2.2, or ◆ FLOW BAL when balanced. Struct: Structure trend bias: ▲ STRUCT BULL when microtrend > 2, ▼ STRUCT BEAR when < -2, or ◆ STRUCT RANGE when neutral. Smart$: Institutional activity: ◈ ACCUM when smart money index = 1, ◈ DISTRIB when = -1, or ○ IDLE when inactive. Liquid: Liquidity state: ⚡ VOID when a liquidity void is detected, or ● NORMAL otherwise. Diverg: Divergence status: ⚠ ALERT when price/volume divergence detected, or ✓ CLEAR when aligned. PMH: Peer Momentum Heatmap status: Shows dominant timeframe and momentum score. Displays 🪩 for bull surge (above 0.55 threshold) or 🧨 for bear surge (below -0.55). FVG: Fair Value Gap status: Shows active gap count or CLEAR when no gaps exist. Displays GAP LONG when bullish gap detected, GAP SHORT when bearish gap detected. Pearlscent Color with Volume Heatmap. Parameters and Settings Microstructure Engine: Analysis Depth: 20-250 bars (default: 55) - Controls OFI smoothing period Liquidity Threshold ATR: 1.0-4.0 (default: 1.7) - Multiplier for void detection Imbalance Ratio: 1.5-6.0 (default: 2.2) - Standard deviations for OFI significance Smart Money Layer: Smart Money Window: 10-150 bars (default: 24) - Period for ROC calculations Accumulation Threshold: 40-95% (default: 65%) - Volume ROC threshold Structural Mapping: Fractal Pivot Period: 3-15 bars (default: 5) - Period for pivot detection Structure Memory: 2-8 levels (default: 4) - Number of structure points to track Volume Heat Projection: Heat Map Lookback: 60-400 bars (default: 150) - Bars to analyze for volume profile Heat Map Levels: 5-30 levels (default: 14) - Number of price level bands Heat Map Opacity: 40-100% (default: 92%) - Transparency of heat map boxes Heat Map Width Limit: 6-80 bars (default: 26) - Maximum width of heat map boxes Heat Map Visibility Threshold: 0.0-0.5 (default: 0.08) - Minimum density to display Iridescent Enhancements: Visual Theme: Iridescent, Pearlescent, Prismatic, ColorShift, or Metallic Color Shift Speed: 0.05-1.00 (default: 0.35) - Speed of color phase oscillation Aura Thickness (ATR): 0.05-1.0 (default: 0.25) - Multiplier for aura band width Chromatic Trail Length: 2-50 bars (default: 8) - Period for trail calculation Trail Blend Ratio: 0.1-0.95 (default: 0.65) - EMA/WMA blend percentage FVG Persistence: 50-600 bars (default: 320) - Bars to keep FVG boxes active Max Active FVG Boxes: 10-200 (default: 40) - Maximum boxes on chart FVG Base Opacity: 20-95% (default: 80%) - Transparency of FVG boxes Peer Momentum Heatmap: Peer Symbols: Comma-separated list of up to 6 symbols (e.g., "BTCUSD,ETHUSD") Peer Timeframes: Comma-separated list of up to 4 timeframes (default: "60,240,D") PMH RSI Length: 5-50 periods (default: 14) PMH StochRSI Length: 5-50 periods (default: 14) PMH StochRSI Smooth: 1-10 periods (default: 3) Super Momentum Threshold: 0.2-0.95 (default: 0.55) - Threshold for surge detection Clarity & Readability: Liquidity Void Opacity: 5-90% (default: 30%) Smart Money Footprint Opacity: 5-90% (default: 35%) HUD Background Opacity: 40-95% (default: 70%) Iridescent Field: Field Opacity: 20-100% (default: 86%) - Background color intensity Field Smooth Length: 10-200 bars (default: 34) - Smoothing for background gradient --- Alerts The indicator provides seven alert conditions: Liquidity Void Detected - Triggers when void conditions are met Strong Order Flow - Triggers when normalized OFI exceeds imbalance ratio Smart Money Activity - Triggers when accumulation or distribution detected Price/Volume Divergence - Triggers when divergence conditions occur Structure Shift - Triggers when structure polarity changes significantly PMH Bull Surge - Triggers when PMH exceeds positive threshold (if enabled) PMH Bear Surge - Triggers when PMH exceeds negative threshold (if enabled) Bull/Bear Prismatic FVG - Triggers when new FVG is detected (if FVG display enabled) --- Usage Considerations Performance may vary on lower timeframes due to the volume heat map calculations scanning multiple bars. Consider reducing heat map lookback or levels if experiencing slowdowns. The PMH feature requires data requests to other symbols/timeframes, which may impact performance. Limit the number of peer symbols and timeframes for optimal performance. FVG boxes automatically expire after the persistence period to prevent chart clutter. The maximum box limit (default: 40) prevents excessive memory usage. Color themes affect all visual elements. Choose a theme that provides good contrast with your chart background. The indicator is designed for overlay display. All visual elements are positioned relative to price action. Structure lines are drawn dynamically as new pivots form. On fast-moving markets, structure may update frequently. Volume calculations assume typical volume data availability. Symbols without volume may show incomplete data for volume-dependent features. --- Technical Notes Built on Pine Script v6 with dynamic request capability for PMH functionality. Uses exponential moving averages (EMA) and weighted moving averages (WMA) for trail calculations to balance responsiveness and smoothness. Volume profile calculation uses price level buckets. Higher levels provide finer granularity but require more computation. Iridescent color engine uses a phase oscillator with sine wave calculations for smooth color transitions. Box management includes automatic cleanup of expired boxes to maintain performance. All visual elements use color gradients and transparency for smooth blending with price action. --- Customization Examples Intraday Scalping Setup: Analysis Depth: 30 bars Heat Map Lookback: 100 bars FVG Persistence: 150 bars PMH Window: 15 bars Fast color shift speed: 0.5+ Macro Structure Tracking: Analysis Depth: 100+ bars Heat Map Lookback: 300+ bars FVG Persistence: 500+ bars Structure Memory: 6-8 levels Slower color shift speed: 0.2 --- Limitations Volume heat map calculations may be computationally intensive on lower timeframes with high lookback values. PMH requires valid symbol names and accessible timeframes. Invalid symbols or timeframes will return no data. FVG detection requires at least 3 bars of history. Early bars may not show FVG boxes. Structure lines connect points but do not predict future structure. They reflect historical pivot relationships. Color themes are aesthetic choices and do not affect calculation logic. The indicator does not provide trading signals. All visual elements are analytical tools that require interpretation in context of market conditions. Open Source This indicator is open source and available for modification and distribution. The code is published with Pine Script v6 compliance. Users are free to customize parameters, modify calculations, and adapt the visual elements to their trading needs. For questions, suggestions, or anything please talk to me in private messages or comments below! Would love to help! - officialjackofalltrades
อินดิเคเตอร์ Pine Script®
โดย officialjackofalltrades
Hardwaybets Strat Market Checklist Trading## **Hardwaybets TheStrat Market Checklist Engine** **A Checklist-Driven TheStrat Trading** --- ### **Overview** This script is an **informational market context and permission framework** designed to help users **organize structural and liquidity information** in a clear, checklist-based format. It evaluates **price context only** and displays the results in a table. It does **not** generate trade signals or trading instructions. --- ### **What This Script Does** The indicator evaluates and displays: * Nearest prior **Area of Interest (AOI)** (Previous Day High/Low or Previous Week High/Low) * Higher-timeframe structural bias (Daily & Weekly) * Proximity to liquidity * Liquidity behavior (acceptance vs rejection) * **Strat pattern classification only** (12 canonical patterns) * A final **permission state** based on the above conditions All information is presented as **contextual reference data**, not execution guidance. --- ### **What This Script Does NOT Do** * ❌ No buy or sell signals * ❌ No arrows, markers, or execution prompts * ❌ No entries, exits, stops, or targets * ❌ No performance metrics or profitability claims * ❌ No strategy or backtesting logic The word **“TRADE”** in the dashboard refers to **permission status only**, not a recommendation to trade. --- ### **Dashboard Modes** * **Full Mode**: displays AOI price and distance (points & ticks) * **Compact Mode**: minimal checklist view for reduced screen usage Both modes are **informational only**. --- ### **Pattern Classification** The script identifies and labels Strat candle pattern **types only**, including: * Reversal patterns * Continuation patterns * Compression patterns * Expansion patterns Pattern labels are **descriptive classifications**, not signals or instructions. --- ### **Intended Use** This script is intended to be used as a **contextual reference tool** alongside a user’s own analysis, rules, or education. It may be useful for: * Market structure study * Liquidity behavior observation * Pattern classification review * Educational purposes --- ### **Technical Notes** * Pine Script® v6 * Uses completed candles only * No repainting logic * No future data access * Table-based UI only --- ### **Disclaimer** This indicator is provided **for educational and informational purposes only**. The author does not provide financial advice, trading recommendations, or execution guidance. All trading decisions remain the sole responsibility of the user. --- ### **Conceptual Attribution** This script is inspired by publicly available market structure concepts commonly referred to as “The Strat” methodology. No proprietary or paid content is included. --- ### **Feedback** Constructive feedback and suggestions are welcome. Please note that this script is intentionally **non-signaling by design**.
อินดิเคเตอร์ Pine Script®
โดย hardwaybets
Swing Elite Trend Direction [Free]Swing Elite Trend Direction This indicator automatically identifies and labels market structure by detecting swing highs and swing lows, then classifying them as Higher Highs (HH), Higher Lows (HL), Lower Highs (LH), and Lower Lows (LL). 🔍 What It Does The indicator uses a depth-based pivot detection algorithm to find significant swing points in price action. Each swing is then compared to the previous swing of the same type to determine the market structure: HH (Higher High): Current swing high is above the previous swing high → bullish structure HL (Higher Low): Current swing low is above the previous swing low → bullish structure LH (Lower High): Current swing high is below the previous swing high → bearish structure LL (Lower Low): Current swing low is below the previous swing low → bearish structure 📈 How To Use Trend Identification: Bullish trend is confirmed when you see HH followed by HL (or HL followed by HH) Bearish trend is confirmed when you see LL followed by LH (or LH followed by LL) The zigzag line color changes based on confirmed trend direction Trade Setups: In a bullish trend, look for pullbacks to HL areas for long entries In a bearish trend, look for rallies to LH areas for short entries Trend changes are signaled when structure breaks (e.g., bullish trend making a LL) Depth Setting: Higher depth values (e.g., 34-55) capture major swings for higher timeframe analysis Lower depth values (e.g., 8-21) capture minor swings for shorter-term trading Adjust based on your trading style and timeframe
อินดิเคเตอร์ Pine Script®
โดย Swing_elite
1
Statistical Deviation per AssetINDICATOR: STATISTICAL DEVIATION PER ASSET (SDPA) 1. Overview The Statistical Deviation per Asset (SDPA) is a quantitative analysis tool designed to measure the strength and exhaustion of price movements. Unlike standard oscillators (like RSI ), the SDPA calculates the actual percentage deviation from the most recent pivot point (High or Low) and compares it against historical performance averages specific to each asset. --- 2. Core Logic & Calculation The script operates on a Mean Reversion principle. It assumes that every asset (Gold, Bitcoin, Ethereum, etc.) has a unique "volatility signature" depending on the timeframe. * Dynamic Pivot Detection : The indicator identifies recent Swing Highs and Swing Lows using an adaptive lookback period. * Real-Time Return Calculation : Once a pivot is confirmed, the script calculates the real-time percentage gain (from a Low) or loss (from a High). * Zero-Indexed Histogram : This return is plotted as an oscillator centered around a Zero Line , representing the current trend's progress since the last reversal. --- 3. Adaptive Intelligence (Multi-Asset & Multi-TF) The SDPA is pre-loaded with a statistical database. It automatically adjusts its sensitivity and thresholds based on: 1. The Selected Asset : Whether trading XAUUSD , Bitcoin , or Solana , the deviation thresholds adapt to the specific volatility of that instrument. 2. The Timeframe (TF) : The calculation period ( period ) and performance targets ( hausse_perf / baisse_perf ) change dynamically. For example, a 1-minute scalping setup uses a longer lookback (200) compared to a Daily swing setup (10). --- 4. Visual Anatomy The interface is designed for instant "at-a-glance" interpretation: * The Histogram : * Green : Price is trending up since the last Swing Low . * Red : Price is trending down since the last Swing High . * Threshold Lines (The Statistical Averages) : * Thick Line (60% Opacity) : Represents the Average Historical Deviation . When the histogram hits this line, the move is considered "statistically mature." * Thin Line (70% Opacity) : Represents the Strong Deviation Zone (1.5x the average), indicating extreme momentum or potential exhaustion. * Background Highlighting : The chart background colors automatically when the price exceeds historical averages, signaling a High-Probability Reversal Zone . --- 5. How to Trade with SDPA * Trend Maturity : If the histogram exceeds the Bullish Average (Green line), the current move has reached its typical historical limit. Traders should look for take-profit opportunities or wait for a reversal. * Impulse Strength : A rapid move from the Zero Line toward the thresholds confirms strong institutional interest. * Mean Reversion : When the histogram reaches the Strong Zone (1.5x), the price is "overextended" statistically, offering a high reward-to-risk ratio for counter-trend setups. --- 6. Technical Parameters * Asset Choice : Dropdown menu to select the specific asset. * Colors : Customizable Bullish and Bearish colors to match any UI theme. * Precision : Set to 4 decimal places to ensure accuracy across all asset types.
อินดิเคเตอร์ Pine Script®
โดย AlchimistOfCrypto