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Multi-MA SuiteMulti-MA Suite - Customizable Moving Averages Indicator Overview Multi-MA Suite is a comprehensive moving average indicator that combines both Exponential Moving Averages (EMAs) and Simple Moving Averages (SMAs) in a single, highly customizable tool. Designed for traders who rely on multiple timeframe analysis, this indicator provides up to 9 moving averages (5 EMAs + 4 SMAs) with full control over visibility, color schemes, and parameters. Key Features ✓ Dual MA Types: 5 Exponential Moving Averages (EMAs) - Responsive to recent price action, ideal for short to medium timeframes 4 Simple Moving Averages (SMAs) - Slow and stable, specifically designed for long timeframe analysis ✓ Full Customization: Individual toggle switches to show/hide each moving average Custom color picker for each MA line Adjustable length and source for all moving averages Progressive line width (thicker lines for longer periods) ✓ Pre-configured Defaults: EMA: 9, 21, 50, 100, 200 (common swing trading periods) SMA: 50, 100, 200, 300 (institutional reference levels for long-term trends) Color-coded scheme: Warm colors (yellow-orange) for EMAs, Cool colors (blue-purple) for SMAs ✓ Clean Interface: Organized input groups for easy navigation Clear labeling and logical parameter ordering Minimal chart clutter with toggle controls Key Difference - Speed & Timeframe: EMAs: Fast and reactive → Best for short to medium timeframes (1-min to 4-hour charts) SMAs: Slow and smooth → Best for long timeframes (daily, weekly, monthly charts) Recommended Settings Day Trading (Short Timeframes): Focus on EMAs: 9, 21, 50 Use 1-minute to 15-minute charts SMAs react too slowly for intraday timeframes Swing Trading (Medium Timeframes): Use all EMAs with SMA 50 and 200 1-hour to daily charts work best Mix of EMAs for entries, SMAs for trend context Position Trading (Long Timeframes): Focus primarily on SMAs: 50, 100, 200, 300 Daily to weekly charts recommended SMAs excel here due to their slow, stable nature Can add EMA 200 for comparison Investment Analysis (Very Long Timeframes): SMAs only: 100, 200, 300 Weekly to monthly charts SMA's slow calculation filters noise perfectly for long-term trends EMA Timeframe-Specific Recommendations 📌 Important Notes on EMA Usage by Timeframe: Small Timeframes (5-minute and 15-minute charts): Use 9 EMA and 21 EMA These fast EMAs respond quickly to price changes Perfect for scalping and day trading The 9/21 EMA crossover is a popular day trading strategy Medium Timeframes (1-hour to 4-hour charts): Use 21 EMA and 50 EMA Balances responsiveness with trend reliability Ideal for swing trading and intraday position holding The 21/50 EMA combination filters out noise while staying responsive Long Timeframes (Daily and Weekly charts): Use 50 EMA and 200 EMA The classic trend-following combination 50 EMA for medium-term trend, 200 EMA for major trend The 50/200 EMA crossover is known as the "Golden Cross" (bullish) or "Death Cross" (bearish) For very long-term analysis on these timeframes, consider using SMAs instead Quick Reference Guide: 5m / 15m: EMA 9 & 21 1h / 4h: EMA 21 & 50 1D / 1W: EMA 50 & 200 (or switch to SMAs for even smoother signals) Practical Trading Strategy with EMAs 📌 Why Use EMAs for Active Trading: For active trading, use EMAs because they have faster movement compared to SMAs. This faster response to price changes allows you to catch trends earlier and exit trades before major reversals occur. Three-EMA Trading System: 1. 9 EMA - Quick Trend Recognition: Use the 9 EMA to understand the trend quickly When price is above 9 EMA = Short-term uptrend When price is below 9 EMA = Short-term downtrend The 9 EMA reacts immediately to price momentum changes Perfect for entry timing and quick trend identification 2. 21 EMA - Exit Signal and Trend Confirmation: When the 21 EMA breaks (price crosses it), exit your trade This is critical because when the 21 EMA breaks, the trend will likely reverse The 21 EMA acts as your "stop-loss line" Breaking the 21 EMA signals that the short-term momentum has shifted Example: In an uptrend, when price crosses below 21 EMA, exit longs immediately Example: In a downtrend, when price crosses above 21 EMA, exit shorts immediately 3. 50 EMA - Full Correction Understanding: Use the 50 EMA to understand the complete correction The 50 EMA shows where the full pullback or correction might end When price reaches the 50 EMA, it often bounces (in a strong trend) Breaking the 50 EMA indicates a deeper correction or potential trend reversal Use it to gauge the strength of the overall trend Customization Tips Toggle unnecessary MAs off to reduce chart clutter based on your trading style and timeframe For the 3-EMA trading strategy, enable only 9, 21, and 50 EMAs For long timeframes (daily+), disable EMAs and use only SMAs to avoid over-reactive signals Match your EMA selection to your timeframe using the guide above Adjust colors to match your chart theme or to highlight specific MAs Modify lengths to fit specific market conditions or asset volatility Change source from close to high/low/HL2 for alternative perspectives Use thicker lines for key decision MAs (edit linewidth in settings) Color Scheme Rationale EMAs (Warm Colors): Yellow → Orange progression represents increasing timeframes while maintaining visual cohesion. The warm palette signals "active" or "fast-reacting" nature of EMAs, perfect for shorter timeframes and active trading. SMAs (Cool Colors): Blue → Purple progression provides clear visual distinction from EMAs. The cool palette suggests "stable," "slow," and "smooth" characteristics of SMAs, ideal for long timeframe analysis. What Makes This Different? Unlike basic MA indicators, Multi-MA Suite provides: Both EMA and SMA in one indicator (saves indicator slots) Optimized MA selection based on speed characteristics - fast EMAs for short timeframes, slow SMAs for long timeframes Clear timeframe-specific EMA recommendations for immediate use Practical trading strategy included - 9 EMA for trend, 21 EMA for exit, 50 EMA for corrections Individual control over each MA (toggle, color, parameters) Thoughtful default settings based on widely-used trading periods Color-coded system for instant visual differentiation Clean, organized interface for efficient workflow Installation & Usage Add the indicator to your chart Open indicator settings to customize For active trading: Enable 9, 21, and 50 EMAs (the recommended trading system) Select appropriate MAs for your timeframe (use the EMA timeframe guide above) Toggle MAs on/off based on your analysis needs Adjust colors if desired to match your chart theme Modify lengths and sources as needed for your strategy ⚠️ IMPORTANT DISCLAIMER EDUCATIONAL AND INFORMATIONAL PURPOSES ONLY This indicator and its accompanying documentation are provided for educational and informational purposes only. The content does not constitute financial advice, investment advice, trading advice, or any other sort of advice, and you should not treat any of the indicator's content as such. NO GUARANTEE OF RESULTS Past performance is not indicative of future results. The strategies, techniques, and concepts discussed herein are provided "as is" without any warranty of any kind. Trading and investing in financial markets involves substantial risk of loss and is not suitable for every investor. RISK ACKNOWLEDGMENT You can lose money trading: Trading stocks, forex, futures, options, cryptocurrencies, and other financial instruments carries a high level of risk and may not be suitable for all investors. You may sustain a total loss of your investment. No guaranteed profits: The use of moving averages or any technical indicator does not guarantee profitable trades. Markets can remain irrational longer than you can remain solvent. Lagging indicators: All moving averages are lagging indicators based on historical price data and may not predict future price movements. False signals: Moving averages can produce false signals, especially in choppy, sideways, or low-volume market conditions. YOUR RESPONSIBILITY Do your own research: Before making any trading or investment decision, you should conduct your own research and due diligence. Consult professionals: Consider seeking advice from qualified financial advisors, certified public accountants, or licensed professionals before making financial decisions. Risk management: Always use proper risk management, including stop-losses, position sizing, and diversification. Demo trading: Test any strategy on a demo account before risking real capital. Understand the markets: Ensure you fully understand the markets you're trading and the risks involved. PERSONAL TRADING DECISIONS All trading decisions are made at your own discretion and at your own risk. You are solely responsible for all trading decisions you make. The strategies mentioned (including the 9/21/50 EMA system) are examples only and should not be followed blindly without proper testing and risk assessment. MARKET CONDITIONS VARY Market conditions change constantly. What works in one market condition may not work in another. Trending strategies (like the ones discussed) typically perform poorly in ranging markets. Adapt your approach based on current market conditions. USE AT YOUR OWN RISK By using this indicator, you acknowledge that you have read this disclaimer and agree to be bound by its terms. If you do not agree with any part of this disclaimer, do not use this indicator.
Indicador Pine Script®
por aaboomar
Regime Switch 100/200 SMAWhat it does Daily, close-only trend regime for any symbol using the 100-day (momentum) and 200-day (regime) SMAs. Classifies the tape into GREEN / YELLOW / RED and stays stable intraday. How it works (rules) GREEN = Close > 100D and 100D > 200D -> full risk-on. YELLOW = Close > 200D and 100D <= 200D -> light risk-on / repair. RED = Close < 200D -> risk-off. State changes require N = 2 daily closes (configurable). Optional +/- band % around 200D to reduce whipsaws. Always computes on daily data (independent of chart timeframe). Inputs Use chart symbol? (else pick a fixed symbol) Fast SMA length (default 100) Slow SMA length (default 200) Daily closes to confirm (default 2) Buffer band % around 200D (default 0) Toggles: state-change markers, status panel, SMA labels Visuals & alerts Background: GREEN / YELLOW / RED by state Lines: SMA100 (yellow) and SMA200 (orange) Markers on state flips; three alertconditions fire on GREEN / YELLOW / RED changes How to use (workflow) View with 1D candles , ~ 1Y range . Decide at the daily close; execute next day’s open. Example sizing when signaling on QQQ and expressing with TQQQ: - GREEN -> sleeve 10–15% (cap 20–25%); trim if sleeve > target x 1.25. - YELLOW -> sleeve 5–8% (half risk). - RED -> 0%; sit in cash until GREEN or YELLOW returns. No margin/loans layered on leveraged ETFs. Notes Works with regular candles; dividend-adjustment settings can nudge SMA values. For faster but noisier behavior, shorten to 150/100D or set Confirm=1. Change log v1.0: Initial release (daily, 3-state, follows chart symbol, alerts, panel). Disclosure Educational use only. Not investment advice.
Indicador Pine Script®
por degenfolio
Elite MTF EMA ReclaimThis indicator is a trend-continuation tool, not a scalper. Its purpose is to help you enter clean pullback trades in strong trends while blocking chop and low-quality setups. It works by: Requiring Daily + 1H trend alignment Enforcing EMA structure (5/10/20/50) on the execution timeframe Confirming momentum expansion using EMA slope + curvature Blocking trades when conditions are choppy (low ATR, weak ADX, tight EMAs, recent EMA crosses) Triggering entries only after a Pullback → Reclaim → (optional) Retest How to use it: Trade on the 6-minute chart (Forex works best based on default setting) but is adaptable to any market by changing settings Wait for LONG / SHORT triangles only when no CHOP or HTF block is shown Enter on the signal, place stops beyond EMA 50 or structure, target 2R–4R+ Expect fewer but higher-quality trades What it’s not: Not a breakout or range-trading indicator Not meant to fire many signals Not for choppy or low-volatility markets Bottom line: It helps you trade with higher-timeframe momentum, enter after pullbacks, and avoid bad market conditions.
Indicador Pine Script®
por sledgeproduuctions
MA 8-13-21-55-89-144-233MA 8-13-21-55-89-144-233 — Multi-Layer Trend & Momentum Framework This indicator is designed for traders who want to read market structure, trend direction, and momentum at a glance using a clean and professional multi-moving average setup. Why These Periods? The periods 8, 13, 21, 55, 89, 144, 233 are: Fibonacci-based Commonly used by professional and institutional traders Highly effective for separating momentum, pullbacks, and macro trend This structure allows you to track short-term speed, medium-term trend, and long-term market bias on a single chart. How to Use Trend Direction Price above MA 55 / 89 / 144 / 233 → bullish market structure Price below them → bearish market structure Momentum & Entries MA 8 – 13 – 21 Short-term momentum and aggressive entry zones MA 21 – 55 Healthy pullback and continuation areas within a trend Trend Strength Well-aligned and expanding MAs → strong trend Compressed MAs → ranging or indecisive market Who Is This For? Intraday traders Swing traders Price Action + MA traders Traders who prefer structure over clutter Important Note This indicator does not generate buy/sell signals by itself. Best results are achieved when combined with: Candlestick patterns Support & resistance Pure price action Clean chart. Clear structure. Multi-timeframe awareness. Know where the trend is, where momentum shifts, and when the market is compressing — all in one view.
Indicador Pine Script®
por nadoline
Advanced Algo [From India]Here is a **shortened, more concise, and TradingView-ready version** of the description, with **“TG – SWIFT Algo V1.1” replaced by “Advanced Algo ”** and explanations tightened while keeping clarity and professionalism. --- 🙏 Introduction & Gratitude > *I have taken so much from this TradingView community over the years — ideas, learning, and inspiration. > It’s time to give back a small contribution with gratitude.* **Advanced Algo ** is a **non-repainting, rule-based intraday indicator** designed primarily for **crypto markets**, optimized for **5-minute and 15-minute timeframes**. The goal is to provide **clean signals, disciplined trade structure, and consistent execution logic**. --- 📌 Indicator Overview **Advanced Algo **: * Generates **confirmed BUY / SELL signals** * Automatically plots **Entry, Take-Profit, and Stop-Loss levels** * Maintains **one active trade at a time** to avoid over-trading * Tracks results via a **lightweight statistics table** This is a **decision-support tool**, not a prediction system or financial advice. --- ## ⚙️ High-Level Logic ### 1️⃣ Adaptive Moving Average Engine The indicator compares two adaptive moving averages: * **Fast MA** (close-based) * **Slow MA** (open-based) Selectable MA types: * **TEMA** * **Hull MA** * **ALMA** (default – low lag & smooth) A small **price delay** is applied to ensure **true non-repainting behavior**. --- ### 2️⃣ Signal Generation (Confirmed Bars Only) * **BUY** → Fast MA crosses above Slow MA * **SELL** → Fast MA crosses below Slow MA Signals are generated **only after candle confirmation**. --- ### 3️⃣ Trade Lifecycle Control Once a trade starts: * Entry price is fixed * TP & SL are calculated using percentage inputs * No new trades are allowed until the current trade exits This prevents signal clustering and emotional over-trading. --- ### 4️⃣ Intrabar TP & SL Handling Although entries are bar-confirmed: * **Take-Profit and Stop-Loss execute intrabar** * Trades exit immediately when price is touched This closely matches real-market behavior on lower timeframes. --- ## 📊 Visuals & Statistics * **Blue** → Entry * **Purple** → Take Profit * **Maroon** → Stop Loss * Green & red fills show reward and risk zones Optional labels mark: * Entries * TP hits * SL hits A simple stats table tracks: * Buy TP / Sell TP * Buy SL / Sell SL --- ## ⏱ Recommended Usage **Best suited for:** * Crypto markets (BTC, ETH, liquid altcoins) * **5m and 15m timeframes** * Trending or moderately volatile conditions **Tips:** * Start with default settings * Adjust TP & SL based on volatility * Avoid low-volume or highly ranging markets --- ## 🔔 Alerts & Automation The script includes structured alerts for: * Entries * TP & SL exits These can be used for **manual alerts or automated execution workflows**. --- ## ⚠️ Disclaimer * No indicator guarantees profits * Always backtest and forward-test before live trading * Proper risk management is essential This script is shared **for educational and analytical purposes only**. --- ## 🤝 Closing Note If this tool adds structure or clarity to your trading, then it has fulfilled its purpose. Feedback and constructive suggestions are always welcome. **Trade responsibly and stay disciplined.**
Indicador Pine Script®
por sanjaybiligiri
10
MA Crossover with R SquaredThis indicator enhances the classic Moving Average (MA) crossover strategy with statistical filtering and prediction capabilities. Let me explain what it does: Instead of just showing when a fast MA crosses above/below a slow MA, this indicator adds R² (R-squared) filtering to identify higher-quality crossovers and predicts future crossovers. What is R²? R² (Coefficient of Determination) is a statistical measure that shows how well one variable explains the movement of another variable. In simpler terms: R² = 1.0: Perfect relationship - 100% of the movement in one MA is explained by the other MA R² = 0.8: Strong relationship - 80% R² = 0.5: Moderate relationship - 50% R² = 0.0: No relationship - 0% Imagine two cars driving on a highway: High R² (0.9): Both cars are in the same lane, moving together consistently Low R² (0.3): One car is weaving between lanes while the other stays straight - poor coordination. Traditional MA crossovers often generate false signals during: Choppy markets (price bouncing around) Sideways/ranging markets Low volatility periods News events causing temporary spikes The R² Solution: R² acts as a "quality filter" that answers: "How meaningful this crossover is?" What this means: Before R² filtering: Every crossover generates a signal After R² filtering: Only crossovers with R² > threshold generate signals Result: Fewer but higher-quality signals. MARKET REGIME DETECTION High R² (> 0.7): Strong trending market - MA crossovers are reliable Medium R² (0.4-0.7): Moderate trending - use with caution Low R² (< 0.4): Choppy/range-bound market - avoid MA crossover signals Increasing R²: MAs are converging/moving together more closely Decreasing R²: MAs are diverging/losing coordination Sudden R² drop: Potential market regime change. Why Square the Correlation? Correlation: Measures direction AND strength (-1 to +1) R²: Measures strength ONLY (0 to 1) In trading: We care about relationship strength, not direction Direction is already indicated by crossover type (bullish/bearish) Real-World Interpretation: If R² = 0.64, it means: 64% of the variation in the fast MA is explained by the slow MA 36% is "noise" or unexplained movement The MAs are moderately coordinated. R² Trend Confirmation: Entry: When crossover occurs AND R² is above threshold Confirmation: R² continues rising after entry Exit: R² drops below threshold (relationship weakening) Multi-Timeframe R² Analysis Check R² on higher timeframe for trend context Use current timeframe for entry signals Example: Daily R² > 0.7 gives bullish bias, use 1-hour for entries. R² LIMITATIONS & CAUTIONS 1. Lagging Nature R² is calculated from past data By the time R² is high, the trend may already be established 2. Not a Standalone Indicator R² should confirm other signals, not generate them alone Always combine with price action, volume, support/resistance 3. Curve Fitting Risk Don't over-optimize R² thresholds on historical data What worked in the past may not work in the future Use R² as a filter, not a predictor 4. Market-Specific Behavior R² thresholds that work in trending stocks may fail in Forex Cryptocurrencies may require different R² settings than commodities Always test on your specific market/instrument Before Taking Any Signal: ✅ Does the crossover have a colored circle? (R² > threshold) ✅ What's the R² number shown? (Higher = better) ✅ Is R² rising or falling? (Rising = strengthening relationship) ✅ Check history table - what happened with similar R² values? ✅ Consider prediction - does it align with current signal? Simple R² Rules of Thumb: R² > 0.8: Excellent signal quality R² 0.6-0.8: Good signal quality R² 0.4-0.6: Moderate - use additional confirmation R² < 0.4: Poor - avoid or use extreme caution Think of R² as: A quality control inspector for MA crossovers A relationship therapist for your moving averages A statistical bouncer that only lets strong signals through Higher win rate + Better risk/reward = More profitable trading This script transforms the basic "when lines cross" approach into a sophisticated, statistically-validated trading system. R² is the secret sauce that separates random crossovers (Golden/Death) from meaningful trend changes. DISCLAIMER: This information is provided for educational purposes only and should not be considered financial, investment, or trading advice. Please do boost if you like it. Happy Trading.
Indicador Pine Script®
por kingshukghosh71
Smart Money Fluid [JOAT] Smart Money Fluid — Accumulation and Distribution Flow Analysis Smart Money Fluid tracks institutional-style accumulation and distribution patterns using a sophisticated combination of Money Flow Index, Chaikin Money Flow, and VWAP-relative price analysis. It aims to reveal whether larger participants may be accumulating (buying) or distributing (selling)—information that can precede significant price moves. What Makes This Indicator Unique Unlike single money flow indicators, Smart Money Fluid: Combines three different money flow methodologies into one composite signal Detects divergences between price and money flow automatically Identifies high-volume conditions that add conviction to signals Provides both the composite signal and individual component values Features a momentum histogram showing flow acceleration What This Indicator Does Combines multiple money flow indicators into a composite signal (0-100 scale) Identifies accumulation zones (potential institutional buying) and distribution zones (potential selling) Detects divergences between price and money flow Highlights high-volume conditions for stronger signals Tracks momentum direction within the flow Provides comprehensive dashboard with all component values Composite Calculation Explained The Smart Money Flow composite combines three proven money flow methodologies: // Component 1: Money Flow Index (MFI) - 40% weight // Measures buying/selling pressure using price and volume float mfi = 100 - (100 / (1 + mfRatio)) // Component 2: Chaikin Money Flow (CMF) - 30% weight // Measures accumulation/distribution based on close position within range float cmf = sum(mfVolume, length) / sum(volume, length) * 100 // Component 3: VWAP Price Strength - 30% weight // Measures price position relative to volume-weighted average price float priceVsVWAP = (close - vwap) / vwap * 100 // Final Composite (scaled to 0-100) float rawSMF = (mfi * 0.4 + (cmf + 50) * 0.3 + (50 + priceVsVWAP * 5) * 0.3) float smf = ta.ema(rawSMF, smoothLength) State Classification Accumulating (Green Zone) — SMF above accumulation threshold (default: 60). Suggests institutional buying may be occurring. Distributing (Red Zone) — SMF below distribution threshold (default: 40). Suggests institutional selling may be occurring. Neutral (Gray Zone) — SMF between thresholds. No clear accumulation or distribution detected. Divergence Detection The indicator automatically detects divergences using pivot analysis: Bullish Divergence — Price makes a lower low while SMF makes a higher low. This suggests selling pressure is weakening despite lower prices—potential reversal signal. Bearish Divergence — Price makes a higher high while SMF makes a lower high. This suggests buying pressure is weakening despite higher prices—potential reversal signal. Divergences are marked with "DIV" labels on the chart. Visual Features SMF Line with Glow — Main composite line with gradient coloring and glow effect Signal Line — Slower EMA of SMF for crossover signals Flow Momentum Histogram — Shows the difference between SMF and signal line with four-color coding: - Bright green: Positive and accelerating - Faded green: Positive but decelerating - Bright red: Negative and accelerating - Faded red: Negative but decelerating Zone Backgrounds — Green tint in accumulation zone, red tint in distribution zone Reference Lines — Dashed lines at accumulation/distribution thresholds, dotted line at 50 Strong Signal Markers — Triangles appear when accumulation/distribution occurs with high volume Divergence Labels — "DIV" markers when divergences are detected Color Scheme Accumulation Color — Default: #00E676 (bright green) Distribution Color — Default: #FF5252 (red) Neutral Color — Default: #9E9E9E (gray) Gradient Coloring — SMF line transitions smoothly between colors based on value Dashboard Information The on-chart table (top-right corner) displays: Current SMF value with state coloring State classification (ACCUMULATING, DISTRIBUTING, or NEUTRAL) Flow momentum direction (Up/Down with magnitude) MFI component value CMF component value with directional coloring Volume status (High or Normal) Active divergence detection (Bullish, Bearish, or None) Inputs Overview Calculation Settings: Money Flow Length — Period for flow calculations (default: 14, range: 5-50) Smoothing Length — EMA smoothing period (default: 5, range: 1-20) Divergence Lookback — Bars for pivot detection in divergence analysis (default: 5, range: 2-20) Sensitivity: Accumulation Threshold — Level above which accumulation is detected (default: 60, range: 50-90) Distribution Threshold — Level below which distribution is detected (default: 40, range: 10-50) High Volume Multiplier — Multiple of average volume for "high volume" classification (default: 1.5x, range: 1.0-3.0) Visual Settings: Accumulation/Distribution/Neutral Colors — Customizable color scheme Show Flow Histogram — Toggle momentum histogram Show Divergences — Toggle divergence detection and labels Show Dashboard — Toggle the information table Show Zone Background — Toggle colored backgrounds in accumulation/distribution zones Alerts: Await Bar Confirmation — Wait for bar close before triggering (recommended) How to Use It For Trend Confirmation: Accumulation during uptrends confirms buying pressure Distribution during downtrends confirms selling pressure Divergence between price trend and SMF warns of potential reversal For Reversal Detection: Bullish divergence at price lows suggests potential bottom Bearish divergence at price highs suggests potential top Strong signals (triangles) with high volume add conviction For Entry Timing: Enter longs when SMF crosses into accumulation zone Enter shorts when SMF crosses into distribution zone Wait for high volume confirmation for stronger signals Use divergences as early warning for position management Alerts Available SMF Accumulation Started — SMF entered accumulation zone SMF Distribution Started — SMF entered distribution zone SMF Strong Accumulation — Accumulation with high volume SMF Strong Distribution — Distribution with high volume SMF Bullish Divergence — Bullish divergence detected SMF Bearish Divergence — Bearish divergence detected Best Practices High volume during accumulation/distribution adds significant conviction Divergences are early warnings—don't trade them alone Use in conjunction with price action and support/resistance Works best on liquid markets with reliable volume data This indicator is provided for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management before making trading decisions. — Made with passion by officialjackofalltrades
Indicador Pine Script®
por officialjackofalltrades
Adaptive 2 EMA Cloud (Trend-Aware)Adaptive 2 EMA Cloud (Trend-Aware) This indicator combines a classic 2-EMA cloud and crossover with an adaptive Trend vs Chop filter designed to reduce whipsaws during sideways markets. Instead of treating every EMA crossover equally, this script evaluates EMA separation and directional commitment (normalized by ATR) to determine whether price is trending or chopping. Signals can optionally be filtered so they only appear during qualified trend conditions. What This Indicator Does Plots two configurable EMAs with a filled EMA cloud Marks bullish and bearish EMA crossovers Classifies market state as BULLISH / BEARISH / CHOP Optionally filters signals during chop Highlights chop zones with a subtle background Displays a movable Trend status label (Top / Bottom × Left / Middle / Right) with offset controls to avoid UI overlap This makes the indicator useful both as: A visual trend context tool A signal filter to pair with discretionary or systematic entries Quick Presets (Main Framework) Scalp / Fast (1–2 min) Built for speed and momentum bursts. Uses tighter EMAs and stricter filters to avoid chop on very fast charts. EMA pairs (choose one): 5 / 9 8 / 13 slopeLen: 4–6 minDistATR: 0.25–0.40 minSlopeATR: 0.06–0.12 Balanced Intraday (3–5 min) General-purpose intraday setup. Balances early trend participation with chop filtering. Recommended starting point if unsure. EMA pairs (choose one): 8 / 13 9 / 21 slopeLen: 5–8 minDistATR: 0.18–0.30 minSlopeATR: 0.04–0.08 Slower / Swing (15–60 min) Designed for higher timeframes and smoother trends. Allows longer trends to develop without requiring sharp acceleration. EMA pairs (choose one): 13 / 21 21 / 34 slopeLen: 8–14 minDistATR: 0.10–0.22 minSlopeATR: 0.02–0.06 Input Guide (Streamlined) minDistATR — EMA Separation Sets the minimum EMA spacing (ATR-normalized) required for a trend. Higher = stricter, fewer signals Filters EMA compression / ranges Too much chop → increase Too few signals → decrease Too low = congestion signals · Too high = late entries minSlopeATR — EMA Slope / Commitment Sets the minimum directional strength (ATR-normalized) of the EMAs. Higher = stricter, fewer signals Filters weak drift and slow grind Signals stall → increase Miss smooth trends → decrease Too low = flat EMAs allowed · Too high = requires acceleration slopeLen — Slope Lookback Controls how quickly the filter reacts. Lower = faster, noisier Higher = smoother, fewer signals 3–5 responsive · 8–14 stable atrLen — Normalization Stabilizes distance and slope across symbols and timeframes. Leave at 14 normally Use 20–30 during extreme volatility shifts Notes This is an indicator, not a strategy. It does not backtest or predict outcomes. No filter eliminates chop entirely—this tool is designed to reduce low-quality conditions, not remove them. Best results come from matching presets to timeframe first, then making small adjustments only when behavior is clearly off.
Indicador Pine Script®
por charleyRT
UM Premarket Volume DashboardSUMMARY Do you track the largest percent movers in the premarket? Instantly compare current premarket volume to its recent average with built-in trend confirmation. ⸻ DESCRIPTION This indicator is a compact premarket intelligence dashboard that combines live volume analysis with adaptive trend detection. It highlights unusually strong premarket activity while confirming directional bias using either a Nadaraya–Watson Estimator (NWE) or traditional moving averages. The goal is to quickly identify symbols that are both active and aligned with trend before the regular trading session begins. ⸻ HOW IT WORKS • Calculates average daily volume using a 50-day rolling average • Tracks live premarket volume between 04:00–09:30 (exchange time) • Computes a rolling average of prior premarket sessions and blends in the current day’s partial premarket volume in real time • Highlights premarket volume in dark green when it exceeds both a user-defined threshold and the rolling premarket average • Determines bullish or bearish trend status using a selectable method: • Nadaraya–Watson Estimator (NWE) • EMA, WMA, or SMA • Trend status is based on directional slope (current value vs prior bar) • Displays percent gain from the previous regular-session close (4:00pm ET) • Shows total shares outstanding for quick liquidity context (when available) ⸻ DEFAULT SETTINGS • Trend Method: Nadaraya–Watson Estimator (NWE) • NWE Lookback Window (h): 8 • NWE Relative Weighting (r): 8 • Regression Length: 120 bars • Premarket Average Days: 10 • Premarket Green Volume Threshold: 50,000 shares • Average Daily Volume: 50-day SMA • Trend Source: Close ⸻ SUGGESTED SETTINGS AND USES • Use the default NWE settings for smoother, adaptive trend confirmation, especially on lower timeframes (1–5 minute charts) during premarket • Switch to EMA or WMA if you prefer faster trend flips or want behavior consistent with MA-based systems • Increase the Premarket Volume Threshold for large-cap stocks or ETFs to reduce noise • Decrease the threshold for small-cap stocks to surface early momentum names Ideal for: • Premarket gap scanners • Momentum continuation setups • Liquidity confirmation before market open • Building dynamic watchlists for the opening bell This indicator is best used as a filtering and confirmation tool, not as a standalone entry signal.
Indicador Pine Script®
por UnderwearMillionaire
Trend Regime Bands (EMA 50 / 150 / 200)📘 Trend Regime Bands – EMA 50·150·200 Overview Trend Regime Bands is a visual trend-context indicator designed to help users quickly understand whether the market is in a bullish or bearish regime. The indicator uses the alignment of EMA 50, EMA 150, and EMA 200 to determine overall trend direction, while additional EMAs are used only to create color-based bands for visual context. No buy or sell signals are generated. How Trend Direction Is Determined Trend direction is derived exclusively from the relative positioning of: EMA 50 (short-term trend) , EMA 150 (medium-term trend) , EMA 200 (long-term trend) . Bullish regime: EMA 50 ≥ EMA 150 ≥ EMA 200 . Bearish regime: EMA 50 < EMA 150 < EMA 200. These three EMAs act as the decision framework for the indicator. What the Color Bands Represent : The indicator displays two visual bands on the chart: Fast Band (Momentum Context) - Built using faster EMAs, Represents short-term momentum and pullback behavior. Brighter color intensity reflects stronger momentum Slow Band (Regime Context) - Built using slower EMAs. Represents broader trend structure and regime stability.Deeper color intensity reflects stronger trend alignment The color of both bands follows the trend direction determined by EMA 50/150/200: Green shades indicate a bullish regime. Red shades indicate a bearish regime. Color intensity increases or decreases smoothly based on trend strength. How to Use This Indicator Use the bands to understand market context, not as entry or exit signals. Strong, bright bands suggest a well-established trend. Lighter bands indicate weaker or transitioning trends. The indicator works across intraday, swing, and higher timeframes. This tool is best used alongside price action, support/resistance, or other confirmation methods. Important Notes This indicator does not provide buy or sell signals. It does not predict future price movement. It is intended solely as a visual trend-regime and context tool Summary Trend Regime Bands offers a clean, distraction-free way to visualize bullish and bearish market regimes using EMA structure and color intensity, helping traders maintain directional awareness and discipline.
Indicador Pine Script®
por Market_Logic_India
ATR-Normalized VWMA DeviationThis indicator measures how far price deviates from the Volume-Weighted Moving Average ( VWMA ), normalized by market volatility ( ATR ). It identifies significant price reversal points by combining price structure and volatility-adjusted deviation behavior. The core idea is to use VWMA as a dynamic trend anchor, then measure how far price travels away from it relative to recent volatility . This helps highlight when price has stretched too far and may be due for a reversal or pullback. How it works: VWMA deviation is calculated as the difference between price and the VWMA. That deviation is divided by ATR (Average True Range) to normalize for current volatility. The script tracks the highest and lowest normalized deviations over the chosen lookback period. It also tracks price structure (highest/lowest highs/lows) over the same period. A reversal signal is generated when a historical extreme in deviation aligns with a price structure extreme, and a confirmed reversal candle forms. You get visual signals and color highlights where these conditions occur. Settings explained: Lookback period defines how many bars the script uses to find recent extremes. ATR length controls how volatility is measured. VWMA length controls how the volume-weighted moving average is calculated. Signal filters help refine entries based on price vs deviation behavior. Display options let you customize how signals and levels appear on the chart. This indicator is especially useful for spotting potential turning points where price has moved far from VWMA relative to volatility, suggesting possible exhaustion or overextension. Tips for use: Combine with broader trend context (higher timeframe support/resistance). Use with risk management rules (position sizing, stops) — signals are guides, not guaranteed entries. Adjust lookback and ATR settings based on your trading timeframe and asset volatility.
Indicador Pine Script®
por exploretranspose
2
Adaptive ML Trailing Stop [BOSWaves]Adaptive ML Trailing Stop – Regime-Aware Risk Control with KAMA Adaptation and Pattern-Based Intelligence Overview Adaptive ML Trailing Stop is a regime-sensitive trailing stop and risk control system that adjusts stop placement dynamically as market behavior shifts, using efficiency-based smoothing and pattern-informed biasing. Instead of operating with fixed ATR offsets or rigid trailing rules, stop distance, responsiveness, and directional treatment are continuously recalculated using market efficiency, volatility conditions, and historical pattern resemblance. This creates a live trailing structure that responds immediately to regime change - contracting during orderly directional movement, relaxing during rotational conditions, and applying probabilistic refinement when pattern confidence is present. Price is therefore assessed relative to adaptive, condition-aware trailing boundaries rather than static stop levels. Conceptual Framework Adaptive ML Trailing Stop is founded on the idea that effective risk control depends on regime context rather than price location alone. Conventional trailing mechanisms apply constant volatility multipliers, which often results in trend suppression or delayed exits. This framework replaces static logic with adaptive behavior shaped by efficiency state and observed historical outcomes. Three core principles guide the design: Stop distance should adjust in proportion to market efficiency. Smoothing behavior must respond to regime changes. Trailing logic benefits from probabilistic context instead of fixed rules. This shifts trailing stops from rigid exit tools into adaptive, regime-responsive risk boundaries. Theoretical Foundation The indicator combines adaptive averaging techniques, volatility-based distance modeling, and similarity-weighted pattern analysis. Kaufman’s Adaptive Moving Average (KAMA) is used to quantify directional efficiency, allowing smoothing intensity and stop behavior to scale with trend quality. Average True Range (ATR) defines the volatility reference, while a K-Nearest Neighbors (KNN) process evaluates historical price patterns to introduce directional weighting when appropriate. Three internal systems operate in tandem: KAMA Efficiency Engine : Evaluates directional efficiency to distinguish structured trends from range conditions and modulate smoothing and stop behavior. Adaptive ATR Stop Engine : Expands or contracts ATR-derived stop distance based on efficiency, tightening during strong trends and widening in low-efficiency environments. KNN Pattern Influence Layer : Applies distance-weighted historical pattern outcomes to subtly influence stop placement on both sides. This design allows stop behavior to evolve with market context rather than reacting mechanically to price changes. How It Works Adaptive ML Trailing Stop evaluates price through a sequence of adaptive processes: Efficiency-Based Regime Identification : KAMA efficiency determines whether conditions favor trend continuation or rotational movement, influencing stop sensitivity. Volatility-Responsive Scaling : ATR-based stop distance adjusts automatically as efficiency rises or falls. Pattern-Weighted Adjustment : KNN compares recent price sequences to historical analogs, applying confidence-based bias to stop positioning. Adaptive Stop Smoothing : Long and short stop levels are smoothed using KAMA logic to maintain structural stability while remaining responsive. Directional Trailing Enforcement : Stops advance only in the direction of the prevailing regime, preserving invalidation structure. Gradient Distance Visualization : Gradient fills reflect the relative distance between price and the active stop. Controlled Interaction Markers : Diamond markers highlight meaningful stop interactions, filtered through cooldown logic to reduce clustering. Together, these elements form a continuously adapting trailing stop system rather than a fixed exit mechanism. Interpretation Adaptive ML Trailing Stop should be interpreted as a dynamic risk envelope: Long Stop (Green) : Acts as the downside invalidation level during bullish regimes, tightening as efficiency improves. Short Stop (Red) : Serves as the upside invalidation level during bearish regimes, adjusting width based on efficiency and volatility. Trend State Changes : Regime flips occur only after confirmed stop breaches, filtering temporary price spikes. Gradient Depth : Deeper gradient penetration indicates increased extension from the stop rather than imminent reversal. Pattern Influence : KNN weighting affects stop behavior only when historical agreement is strong and remains neutral otherwise. Distance, efficiency, and context outweigh isolated price interactions. Signal Logic & Visual Cues Adaptive ML Trailing Stop presents two primary visual signals: Trend Transition Circles : Display when price crosses the opposing trailing stop, confirming a regime change rather than anticipating one. Stop Interaction Diamonds : Indicate controlled contact with the active stop, subject to cooldown filtering to avoid excessive signals. Alert generation is limited to confirmed trend transitions to maintain clarity. Strategy Integration Adaptive ML Trailing Stop fits within trend-following and risk-managed trading approaches: Dynamic Risk Framing : Use adaptive stops as evolving invalidation levels instead of fixed exits. Directional Alignment : Base execution on confirmed regime state rather than speculative reversals. Efficiency-Based Tolerance : Allow greater price fluctuation during inefficient movement while enforcing tighter control during clean trends. Pattern-Guided Refinement : Let KNN influence adjust sensitivity without overriding core structure. Multi-Timeframe Context : Apply higher-timeframe efficiency states to inform lower-timeframe stop responsiveness. Technical Implementation Details Core Engine : KAMA-based efficiency measurement with adaptive smoothing Volatility Model : ATR-derived stop distance scaled by regime Machine Learning Layer : Distance-weighted KNN with confidence modulation Visualization : Directional trailing stops with layered gradient fills Signal Logic : Regime-based transitions and controlled interaction markers Performance Profile : Optimized for real-time chart execution Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Tight adaptive trailing for short-term momentum control 15 - 60 min : Structured intraday trend supervision 4H - Daily : Higher-timeframe regime monitoring Suggested Baseline Configuration: KAMA Length : 20 Fast/Slow Periods : 15 / 50 ATR Period : 21 Base ATR Multiplier : 2.5 Adaptive Strength : 1.0 KNN Neighbors : 7 KNN Influence : 0.2 These suggested parameters should be used as a baseline; their effectiveness depends on the asset volatility, liquidity, and preferred entry frequency, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Excessive chop or overreaction : Increase KAMA Length, Slow Period, and ATR Period to reinforce regime filtering. Stops feel overly permissive : Reduce the Base ATR Multiplier to tighten invalidation boundaries. Frequent false regime shifts : Increase KNN Neighbors to demand stronger historical agreement. Delayed adaptation : Decrease KAMA Length and Fast Period to improve responsiveness during regime change. Adjustments should be incremental and evaluated over multiple market cycles rather than isolated sessions. Performance Characteristics High Effectiveness: Markets exhibiting sustained directional efficiency Instruments with recurring structural behavior Trend-oriented, risk-managed strategies Reduced Effectiveness: Highly erratic or event-driven price action Illiquid markets with unreliable volatility readings Integration Guidelines Confluence : Combine with BOSWaves structure or trend indicators Discipline : Follow adaptive stop behavior rather than forcing exits Risk Framing : Treat stops as adaptive boundaries, not forecasts Regime Awareness : Always interpret stop behavior within efficiency context Disclaimer Adaptive ML Trailing Stop is a professional-grade adaptive risk and regime management tool. It does not forecast price movement and does not guarantee profitability. Results depend on market conditions, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates structure, volatility, and contextual risk management.
Indicador Pine Script®
por BOSWaves
2
TwinSmooth ATR Bands | QuantEdgeBTwinSmooth ATR Bands | QuantEdgeB 🔍 Overview TwinSmooth ATR Bands | QuantEdgeB is a dual-smoothing, ATR-adaptive trend filter that blends two complementary smoothing engines into a single baseline, then builds dynamic ATR bands around it to detect decisive breakouts. When price closes above the upper band it triggers a Long regime; when it closes below the lower band it flips to Short—otherwise it stays neutral. The script enhances clarity with regime-colored candles, an active-band fill, and an optional on-chart backtest table. ✨ Key Features 1. 🧠 Twin-Smooth Baseline (Dual Engine Blend) - Computes two separate smoothed baselines (a slower “smooth” leg + a faster “responsive” leg). - Blends them into a single midpoint baseline for balanced stability + speed. - Applies an extra EMA smoothing pass to produce a clean trend_base. 2. 📏 ATR Volatility Bands - Builds upper/lower bands using ATR × multiplier around the trend_base. - Bands expand in volatile conditions and contract when markets quiet down—auto-adapting without manual tweaks. 3. ⚡ Clear Breakout Regime Logic - Long when close > upperBand. - Short when close < lowerBand. - Neutral otherwise (no forced signals inside the band zone). 4. 🎨 Visual Clarity - Plots only the active band (lower band in long regime, upper band in short regime). - Fills between active band and price for instant regime context. - Colors candles to match the current state (bullish / bearish / neutral). - Multiple color palettes + transparency control. 💼 Use Cases • Trend Confirmation Filter: Use the regime as a higher-confidence trend gate for entries from other indicators. • Breakout/Breakdown Trigger: Trade closes outside ATR bands to catch momentum expansions. • Volatility-Aware Stops/Targets: Bands naturally reflect volatility, making them useful as adaptive reference levels. • Multi-Timeframe Alignment: Confirm higher-timeframe regime before executing on lower timeframes. 🎯 For Who • Trend Traders who want clean regime shifts without constant whipsaw. • Breakout Traders who prefer confirmation via ATR expansion rather than raw MA crossovers. • System Builders needing a simple, robust “state engine” (Long / Short / Neutral) to plug into larger strategies. • Analysts who want quick on-chart validation with a backtest table. ⚙️ Default Settings • SMMA Length (Base Smooth Leg): 24 • TEMA Length (Base Responsive Leg): 8 • EMA Extra Smoothing: 14 • ATR Length: 14 • ATR Multiplier: 1.1 • Color Mode: Alpha • Color Transparency: 30 • Backtest Table: On (toggleable) • Backtest Start Date: 09 Oct 2017 • Labels: Off by default 📌 Conclusion TwinSmooth ATR Bands | QuantEdgeB merges a dual-speed smoothing core into a single trend baseline, then wraps it with ATR-based bands to deliver clean, volatility-adjusted breakout signals. With regime coloring, active-band plotting, and optional backtest stats, it’s a compact, readable tool for spotting momentum shifts and trend continuation across any market and timeframe. 🔹 Disclaimer: Past performance is not indicative of future results. Always backtest and align settings with your risk tolerance and objectives before live trading. 🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Indicador Pine Script®
por QuantEdgeB
3
Next-Gen Market Signal Dashboard Key Features: Trend Detection: EMA50 and EMA200 highlight bullish and bearish trends with subtle background coloring. Momentum Indicators: RSI, MACD, and Stochastic Oscillator confirm signal strength and market momentum. Volatility Filter: ATR ensures signals are only triggered during active market conditions. Visual Signals: Animated triangles and colored backgrounds for LONG (green) and SHORT (red) signals. Take Profit / Stop Loss: Automatic, elegant TP and SL lines to guide trades. Compact Multi-Indicator Panel: Displays RSI, MACD, Stochastic, and ATR with color-coded strength indicators. Mini-Guide: Integrated panel explanations help quickly interpret signals without confusion. Alerts: Built-in alerts for all LONG and SHORT signals.
Indicador Pine Script®
por Boubizee
Trade Secrets by Pratik - Dual Intraday StrategyThe "Trade Secrets by Pratik" strategy is a high-momentum, dual-direction trading system designed to capture explosive moves after brief market pullbacks. It relies on a rigorous combination of trend-following moving averages and a strength filter. 1. Core Concept The strategy identifies "Clean Pullbacks"—brief pauses in a strong trend where the price stays strictly away from the short-term average (10 EMA). This indicates extreme momentum, as buyers (in an uptrend) or sellers (in a downtrend) are too aggressive to allow a deeper correction. 2. Technical Filters Trend Direction: Price must be above both 10 and 35 EMAs for Buys, and below both for Sells. Strength Filter (RSI): Requires an RSI > 60 for Longs (to ensure high demand) and RSI < 40 for Shorts (to ensure heavy selling pressure). 3. Trade Execution The Setup: Look for a "Floating Candle"—a Red candle for Buys or a Green candle for Sells that does not touch the 10 EMA. The Trigger: A trade is entered only if the very next candle breaks the "Setup Candle's" high (Buy) or low (Sell). Risk-Reward: Aim for a fixed 1:3 Ratio, ensuring that one winner covers three losing trades. 4. Safety Logic The system includes a "No-Same-Candle-Exit" rule, preventing the script from triggering a Stop Loss on the same bar as the Entry. This filters out immediate price "whipsaws" and ensures the trade has room to develop.
Indicador Pine Script®
por Trade_Secrets_By_Pratik
UVOL Thrust TrackerUVOL Thrust Tracker identifies institutional breadth thrusts using NYSE up-volume as a percentage of total volume (USI:UVOL / USI:TVOL), plotted directly on price. The indicator highlights: TRUE 90% UVOL thrusts (rare, high-conviction breadth events) Surrogate thrust clusters (multi-day 80–89% participation) Cluster failures (momentum that fails to expand) Structural thrust failures (2022-style false starts) A regime filter based on the chart symbol’s moving averages separates bull vs bear environments, dynamically adjusting thresholds and failure logic. This tool is designed for regime confirmation and risk management, not short-term entries. TRUE thrusts typically confirm trend continuation, while failures warn when breadth support breaks down. Note: This indicator is intended for regime and risk assessment, not precise entries or exits.
Indicador Pine Script®
por Trend711
A-Share Broad-Based ETF Dual-Core Timing System1. Strategy Overview The "A-Share Broad-Based ETF Dual-Core Timing System" is a quantitative trading strategy tailored for the Chinese A-share market (specifically for broad-based ETFs like CSI 300, CSI 500, STAR 50). Recognizing the market's characteristic of "short bulls, long bears, and sharp bottoms," this strategy employs a "Left-Side Latency + Right-Side Full Position" dual-core driver. It aims to safely bottom-fish during the late stages of a bear market and maximize profits during the main ascending waves of a bull market. 2. Core Logic A. Left-Side Latency (Rebound/Bottom Fishing) Capital Allocation: Defaults to 50% position. Philosophy: "Buy when others fear." Seeks opportunities in extreme panic or momentum divergence. Entry Signals (Triggered by any of the following): Extreme Panic: RSI Oversold (<30) + Price below Bollinger Lower Band + Bullish Candle Close (Avoid catching falling knives). Oversold Bias: Price deviates more than 15% from the 60-day MA (Life Line), betting on mean reversion. MACD Bullish Divergence: Price makes a new low while MACD histogram does not, accompanied by strengthening momentum. B. Right-Side Full Position (Trend Following) Capital Allocation: Aggressively scales up to Full Position (~99%) upon signal trigger. Philosophy: "Follow the trend." Strike heavily once the trend is confirmed. Entry Signals (All must be met): Upward Trend: MACD Golden Cross + Price above 20-day MA. Breakout Confirmation: CCI indicator breaks above 100, confirming a main ascending wave. Volume Support: Volume MACD Golden Cross, ensuring price increase is backed by volume. C. Smart Risk Control Bear Market Exhaustion Exit: In a bearish trend (MA20 < MA60), the strategy does not "hold and hope." It immediately liquidates left-side positions upon signs of rebound exhaustion (breaking below MA20, touching MA60 resistance, or RSI failure). ATR Trailing Stop: Uses Average True Range (ATR) to calculate a dynamic stop-profit line that rises with the price to lock in profits. Hard Stop Loss: Forces a stop-loss if the left-side bottom fishing fails and losses exceed a set ATR multiple, preventing deep drawdowns. 3. Recommendations Target Assets: High liquidity broad-based ETFs such as CSI 300 ETF (510300), CSI 500 ETF (510500), ChiNext ETF (159915), STAR 50 ETF (588000). Timeframe: Daily Chart.
Estratégia Pine Script®
por RTA-Odysseus