Mulakan

Momentum Indicator (MOM)

Market Breadth MomentumThe indicator operates by fetching data from external tickers (usually market internal symbols like ATHI and ATLO) and processing them through a momentum filter. It aims to identify "breadth thrusts" or exhaustion points before they become obvious on a standard price chart. Key ComponentsCustom Data Inputs: By default, it uses New Highs and New Lows tickers. You can toggle between calculating the Net difference (Highs minus Lows) or a Ratio (Highs divided by Lows). Dual Mode Logic:Raw Mode: Visualizes the raw spread between highs and lows.Momentum Mode: Applies a McClellan-style calculation (Fast EMA minus Slow EMA) to show the rate of change in market breadth.Signal Line: Includes a 9-period EMA (Signal Line) to help identify trend shifts and provide crossover alerts. Visual InterpretationThe indicator is displayed in a separate pane below the price chart:ElementDescription Teal ColumnsIndicate that the breadth momentum is increasing (bullish divergence or strengthening trend). Maroon Columns Indicate that the breadth momentum is decreasing (bearish divergence or weakening trend).Orange LineThe Signal Line; used to smooth out noise and provide entry/exit triggers.Zero LineThe "neutral" mark. Values above zero generally suggest bullish internal health; values below suggest bearish. Identifying Divergences If the S&P 500 is making new price highs, but the Breadth Momentum histogram is making lower highs, it suggests the rally is losing participation. This is often a precursor to a market correction. Momentum Crossovers A common signal is the "Signal Line Cross." When the columns cross above the orange Signal Line, it indicates a short-term surge in market participation (a "Thrust"). Mean Reversion Extreme extensions away from the Zero Line (either positive or negative) can signal that the market is overbought or oversold on an internal level, regardless of what the price action looks like. Settings & Inputs New Highs/Lows Ticker: Ensure these match the symbols provided by your broker (e.g., HI_NY or ATHI). Fast/Slow EMA: Standard settings are 19 and 39 (McClellan defaults), but these can be tightened for faster scalping or widened for long-term trend following. Show Momentum: Toggle this off if you simply want to see the raw "Net Highs" data without the EMA smoothing.
Penunjuk Pine Script®
oleh tommyttcat
MACD-V (Volatility Normalized MACD)Award-Winning Momentum Indicator by Alex Spiroglou (CMT Charles Dao Award & NAAIM Founders Award, 2022) The classic MACD has powered trading decisions for decades, but it suffers from five major limitations that undermine consistency: 1- Readings are not comparable over time (absolute price dependency causes massive scale differences across decades) 2- Not comparable across markets or assets (e.g., stocks vs. forex vs. crypto) 3- No universal overbought/oversold levels 4- Excessive whipsaws in low-momentum/range-bound conditions 5- Lagging signals in high-momentum reversals (e.g., missing big chunks of V-shaped recoveries) MACD-V solves all five issues by normalizing momentum against volatility instead of price. Core Formula MACD-V = (EMA(12) - EMA(26)) / ATR(26) × 100 This expresses momentum in units of Average True Range (ATR), creating a volatility-adjusted oscillator that remains mathematically meaningful and comparable: -Analysts can use MACD-V across any timeframe: -Across any asset class (stocks, forex, commodities, bonds, crypto) -Over decades of history Key Features & Benefits Time-stable & cross-market comparable: A +100 reading today has the same meaning as +100 in the past years, regardless of asset or price level. Universal extremes: ±150 captures ~95% of all readings across markets → extreme/stretched momentum. Momentum Lifecycle Roadmap (objective framework): +150 or < -150: Extreme / overstretched (high reversal risk) +50 to +150 or -50 to -150: Strong directional momentum (rallying, retracing, rebounding, reversing) -50 to +50: Neutral / low momentum / ranging (avoid most signals — high whipsaw zone) Range Rules for regime context: In bullish regimes (price > 200 EMA), -50 to -150 becomes the practical oversold zone; readings below -100 are rare and often powerful buy setups. Opposite in bearish regimes. Improved signal quality: Filter whipsaws in neutral zone, anticipate lag in extremes, prioritize high-probability crosses in strong-momentum bands. MACD-V Histogram (MACD-VH): Normalized short-term momentum with extremes at ±40 for fast reversal detection. Backtesting & strategy-friendly: Enables reliable historical analysis, cross-asset relative strength, and systematic rules MACD-V transforms momentum from subjective art into objective, repeatable science — giving you consistent, actionable insights no matter what you're trading. Use it standalone or layer with trend filters (e.g., 200 EMA), volume, or price action for even stronger edges. Developer: Alex Spiroglou Open-source versions inspired by his work — feel free to fork and improve! Happy trading! 🚀
Penunjuk Pine Script®
oleh KivancOzbilgic
15
RSI with Bullish/ Bearish Zones by VKKDisclaimer: Script is not suggesting any buy or sell any stock. It's a visual identification of the direction of the current state of the stock. This script is a modified Relative Strength Index (RSI) designed to help traders filter out market noise by identifying three distinct momentum phases. Instead of the traditional 70/30 approach, this version uses the 40 and 60 levels to define a "Neutral/Caution" zone. Key Features: 🟢 Bullish Zone (Above 60): Indicates strong upward momentum. The RSI line turns green, signaling a potential trend continuation. 🟠 Caution Zone (40–60): A neutral "no-man's land" where the market is often consolidating or undecided. The line turns orange, warning traders to be patient. 🔴 Bearish Zone (Below 40): Indicates strong downward momentum. The RSI line turns red, signaling a potential downtrend. ⚖️ Midline (50): A blue or your color choice dotted line acts as the ultimate pivot point between buyers and sellers. 🔥 Extremes (70/30): Classic Overbought (Red) and Oversold (Green) levels are included for mean-reversion context. How to Use: Trend Confirmation: Look for the RSI to sustain a position above 60 for longs or below 40 for shorts. Filter Noise: Avoid entering aggressive trend trades when the RSI is stuck in the Orange Caution Zone. Real-time Status: The dynamic label on the right provides an instant reading of the current market state and exact RSI value.
Penunjuk Pine Script®
oleh katakwar
Pro RSI Mean-Deviation Sigmoid Oscillator (Z-Score Normalized)# Pro RSI Mean-Deviation Sigmoid Oscillator (Z-Score Normalized) ## 🧮 Core Mathematical Concept **The Key Formula**: This indicator subtracts RSI's own EMA from the RSI value, divides the result by its standard deviation to create a Z-score, then applies sigmoid normalization to map it into a 0-1 range (displayed as 0-100). **In Simple Terms**: ``` Z-Score = (RSI - RSI_EMA) / Standard_Deviation Sigmoid = 1 / (1 + e^(-k × Z-Score)) Final Output = Sigmoid × 100 ``` This mathematical approach transforms raw RSI momentum into a statistically normalized oscillator that better identifies genuine trend changes while filtering out noise. --- ## 📊 What This Indicator Does This advanced momentum oscillator combines RSI analysis with statistical normalization to identify overbought/oversold conditions and momentum shifts with greater precision than traditional RSI alone. **Core Innovation**: Uses Z-score normalization and sigmoid transformation to convert RSI deviations into a smooth 0-100 scale, reducing noise while maintaining sensitivity to genuine market movements. --- ## 🔧 How It Works ### 1. **RSI Foundation** - Calculates standard RSI over your chosen period (default: 14) - Applies an EMA smoothing line to identify the RSI trend ### 2. **Statistical Normalization** - Measures deviation between RSI and its EMA - Calculates Z-score (standard deviations from mean) - Normalizes extreme values while preserving relative strength ### 3. **Sigmoid Transformation** - Maps Z-scores to a 0-100 scale using sigmoid function - Creates smooth transitions between bullish/bearish zones - Reduces false signals from RSI whipsaws ### 4. **RSI Bollinger Bands** - Adds dynamic overbought/oversold bands around RSI - Adapts to market volatility automatically - Confirms extreme conditions when RSI breaches bands ### 5. **Momentum Histogram** - Visualizes rate of change in normalized momentum - Green bars = strengthening bullish momentum - Red bars = strengthening bearish momentum --- ## 📈 How to Use ### **Primary Signals** **Sigmoid Oscillator (Thick Line)** - **Above 50** = Bullish momentum dominant - **Below 50** = Bearish momentum dominant - **Crossing 50** = Potential trend change **Extreme Zones** - **Above 70** = Overbought (green background) - Consider taking profits or preparing for reversal - **Below 30** = Oversold (red background) - Watch for potential bounce or reversal ### **Confirmation Signals** **RSI Bollinger Band Breaches** (Purple background) - RSI above upper band = Extremely overbought - RSI below lower band = Extremely oversold - Strong confirmation when paired with sigmoid extremes **RSI vs RSI EMA Crossovers** - Purple line (RSI) crossing above orange line (EMA) = Early bullish signal - Purple line crossing below orange line = Early bearish signal **Momentum Histogram** - Growing green bars = Accelerating bullish momentum - Growing red bars = Accelerating bearish momentum - Shrinking bars = Momentum weakening (potential reversal warning) --- ## ⚙️ Parameter Settings ### **RSI Period** (Default: 14) - Lower (7-10) = More responsive, more signals - Higher (20-30) = Smoother, fewer false signals - Recommended: Keep at 14 for most timeframes ### **RSI EMA Period** (Default: 14) - Controls smoothness of RSI trend line - Match to RSI period for standard behavior - Increase for longer-term trend identification ### **Standard Deviation Period** (Default: 20) - Lookback window for Z-score calculation - Lower = More sensitive to recent changes - Higher = More stable, slower to react ### **Sigmoid Sensitivity (k)** (Default: 1.0) - **0.5-0.8** = Smoother, less extreme readings - **1.0-1.5** = Balanced sensitivity - **2.0+** = More aggressive, reaches extremes faster - Adjust based on asset volatility ### **Bollinger Band Multiplier** (Default: 2.0) - Standard deviation multiplier for RSI bands - **1.5** = Tighter bands, more frequent signals - **2.5-3.0** = Wider bands, only extreme moves --- ## 💡 Trading Strategies ### **Strategy 1: Momentum Continuation** 1. Wait for sigmoid to break and hold above 70 (bullish) or below 30 (bearish) 2. Confirm with growing momentum histogram in same direction 3. Enter in direction of momentum when RSI breaks Bollinger bands 4. Ride the trend until sigmoid crosses back through 50 or momentum histogram shrinks 5. This indicator excels at catching strong, sustainable momentum moves ### **Strategy 2: Momentum Breakout** 1. Identify sigmoid consolidation near 50 2. Watch for strong break above 70 or below 30 3. Confirm with growing momentum histogram 4. Enter in direction of break, exit when momentum weakens ### **Strategy 3: Divergence Detection** 1. Compare price action to sigmoid oscillator 2. Bullish divergence: Price makes lower low, sigmoid makes higher low 3. Bearish divergence: Price makes higher high, sigmoid makes lower high 4. Enter when sigmoid confirms with 50-line cross ### **Strategy 4: Multi-Timeframe Confluence** 1. Use on higher timeframe (4H/Daily) for trend direction 2. Use on lower timeframe (15M/1H) for entry timing 3. Only take trades when both timeframes align 4. Increases win rate significantly --- ## ⚠️ What to Watch For ### **Best Conditions** - ✅ Trending markets with clear momentum - ✅ Assets with decent volatility (not too choppy) - ✅ When multiple signals align (sigmoid + bands + histogram) - ✅ Confirmed with price action or volume ### **Difficult Conditions** - ❌ Sideways, choppy markets (generates false signals) - ❌ Low volatility periods (sigmoid may not reach extremes) - ❌ Major news events (can cause extreme whipsaws) - ❌ Very low timeframes (<5min) - too much noise ### **Common Pitfalls** - Don't trade sigmoid extremes blindly - wait for reversal confirmation - Don't ignore the momentum histogram - it shows strength of moves - Don't use in isolation - combine with support/resistance, volume, etc. - Don't over-optimize parameters - default settings work well for most assets --- ## 📋 Risk Disclaimers **IMPORTANT:** This indicator is for educational purposes only and is NOT financial advice. All trading involves substantial risk of loss. Past performance does not guarantee future results. Always use proper risk management, backtest thoroughly, and consult a licensed financial advisor before making trading decisions. The creator assumes no liability for your trading results. **Trade at your own risk.** --- ## 🔍 Additional Considerations ### **Combine With:** - Support and resistance levels - Volume analysis - Trend indicators (moving averages) - Price action patterns - Market structure analysis ### **Timeframe Recommendations:** - **Scalping (1-5min)**: Lower RSI period (7-10), higher sigmoid sensitivity - **Day Trading (15min-1H)**: Default settings work well - **Swing Trading (4H-Daily)**: Increase all periods by 50-100% - **Position Trading (Weekly)**: Double all default periods ### **Asset-Specific Tips:** - **Crypto**: Often more volatile - consider k=0.8 for smoother signals - **Forex**: Works well on major pairs with default settings - **Stocks**: May need slight adjustments per stock volatility - **Indices**: Very effective with standard parameters --- ## 📝 Credits & Sharing Feel free to share this indicator! If you make modifications or improvements, consider sharing back with the community. **Version**: 5 **Created for**: TradingView Pine Script **Category**: Oscillators / Momentum --- *Happy Trading! Remember: The best indicator is the one between your ears. Always think critically and trade responsibly.* 📊✨
Penunjuk Pine Script®
oleh hasanaksoy199264
2
GCM Kinetic Flux SpectrumTitle: GCM Kinetic Flux Spectrum DESCRIPTION The GCM Kinetic Flux Spectrum is an institutional-grade hybrid momentum and volume engine. Unlike standard oscillators that rely on closing prices, the GCM KFS synthesizes dual-source RSI volatility with Volume Flow Intensity (VFI) to reveal the hidden kinetic energy of market movements. By projecting a 27-layer "Spectrum Ribbon" and a multi-dimensional Divergence Engine, the GCM KFS identifies not just where the price is heading, but the quality and "fuel" behind the trend. CORE ARCHITECTURE 1) The Kinetic Mean (Dual-Source RSI) Standard RSI often ignores the battle occurring at the wicks. The GCM KFS calculates independent RSI streams for Highs and Lows, then anchors them to a Zero-Centered baseline (-50 to +50). The resulting Kinetic Mean filters out retail noise, providing a volatility-adjusted perspective on momentum. 2) Volume Flux Integration (VFI) Volume precedes price. The GCM KFS integrates a highly responsive, EMA-smoothed Volume Flow Indicator (VFI). By syncing VFI length with the RSI cycle, the indicator cross-verifies price strength with capital flow. • Momentum + Positive Flux: Confirms high-conviction trends. • Momentum + Negative Flux: Reveals "Empty" breakouts or institutional distribution. 3) 27-Layer Spectrum Ribbon The gradient fill isn't just aesthetic—it represents Volatility Density. • Expansion: When ribbons fan out, it signals a high-velocity trend. • Compression (The Squeeze): When ribbons pinch toward the Kinetic Mean, it signals a volatility contraction, typically the precursor to an explosive breakout. 4) Four-Way Divergence Engine The KFS automatically detects and projects four types of divergence on both the indicator pane and the main price chart: • Regular Bullish/Bearish: Identifying high-probability trend reversals. • Hidden Bullish/Bearish: Identifying trend continuation (Smart Money re-entry points). KEY POWER FEATURES • Zero-Centered Logic: Levels are shifted for better visual balance. (OB: +20, Extreme OB: +30 | OS: -20, Extreme OS: -30). • Dynamic Zones: Subtle background fills highlight "Extreme" areas where price is statistically likely to mean-revert. • Main Chart Projection: Use the force_overlay feature to keep your eyes on price action while the indicator confirms entries. • Institutional Dotted VFI: The orange dotted line acts as the "Anchor"—if price rises but the VFI Anchor stays below zero, the move lacks professional backing. HOW TO TRADE WITH GCM-KFS • The Reversal Sniper: Look for an R-BULL or R-BEAR label appearing inside the Extreme Zone (±30). This indicates momentum exhaustion backed by a volume shift. • Trend Riding: During an uptrend, look for H-BULL (Hidden Bullish) labels. This signals that institutions are "buying the dip" while momentum resets. • Volatility Breakouts: When the Spectrum Ribbon enters a tight "squeeze" near the Zero Line, prepare for a major move. Follow the direction of the first ribbon expansion. RECOMMENDED SETTINGS • Scalping (1m - 5m): Length 7 - 9 • Day Trading (15m - 1H): Length 10 - 14 • Swing Trading (4H - Daily): Length 20+ AUTHOR’S NOTE This script is part of the GCM suite of professional tools. It is designed to be a "confluence engine"—it works best when used to confirm price action levels, supply/demand zones, or order blocks. Always trade with a plan and managed risk.
Penunjuk Pine Script®
oleh uniGram
3
RSI [Hash Capital Research]RSI is a visually enhanced momentum indicator built on the classic Relative Strength Index. This version expands RSI into a more flexible analytical tool through smoothing options, adaptive zone-based coloring, optional signal line overlays, and divergence detection. It is designed as a context-building indicator, not a standalone entry system. What This Indicator Does This script calculates a smoothed RSI using user-defined parameters and then provides multiple optional enhancements: 1. Adaptive RSI Visualization The core RSI is plotted with: Zone-based color changes (neutral, oversold, overbought) Optional glow effects to emphasize extreme conditions User-defined color intensity and midline visibility The goal is to provide clearer visual segmentation of trend strength and momentum behavior. 2. Custom Smoothing & Signal Line Options The indicator allows: Multi-layer smoothing for RSI stability An optional signal line using the trader’s preferred moving-average method (SMA, EMA, SMMA/RMA, WMA, VWMA) This helps operators examine whether momentum is accelerating or stabilizing relative to its mean. 3. Overbought/Oversold Tools User-defined thresholds determine: Highlighted zones Optional markers for extreme reversals (based on RSI + momentum + velocity criteria) Midline (50) cross highlights for trend-bias transitions These features help contextualize where the RSI sits relative to broader momentum regimes. 4. Divergence Detection (Optional) When enabled, the script scans for regular bullish and bearish divergences using pivot-based structure. It compares: Price making lower lows vs RSI making higher lows (bullish) Price making higher highs vs RSI making lower highs (bearish) Detected divergences are plotted on the RSI panel with visual labels. This detection uses pivot lookbacks and range limits defined by the user. 5. Alerts The indicator provides optional alerts for: Extreme reversals Overbought/oversold momentum shifts Midline (50) crossovers Bullish / bearish divergences Alerts are intended for monitoring, not for automated execution. How to Use It This RSI modification is intended to support broader analysis workflows, including: Identifying regime shifts using midline crosses Monitoring momentum structure across trend phases Highlighting oversold or overbought clustering Adding a visual signal line to interpret momentum smoothing Spotting divergence between price and RSI As with all indicators, this tool should be used as one component of a complete analysis framework. What Makes This Version Distinct This script maintains the core behavior of RSI but introduces: A multi-layer smoothing system Adaptive colors calibrated to oversold/neutral/overbought zones Optional glow visualizations A modular signal-line engine with multiple MA types Configurable divergence detection with visual labels Multiple marker placement modes for extreme conditions These features expand RSI’s readability while keeping its underlying logic transparent and consistent with common operator workflows. Important Notes This is an indicator, not a strategy. It does not execute trades or calculate performance metrics. The visual enhancements are designed to improve clarity, not to generate automated “buy” or “sell” systems. Divergence detection is optional because divergence is inherently contextual and may not apply equally across all markets or timeframes.
Penunjuk Pine Script®
oleh Hash_Capital
2
RSI Sigmoid (Saturation)# 📊 RSI Sigmoid (Saturation) Indicator --- ## 🎯 What Does This Indicator Do? This indicator transforms the traditional **RSI (Relative Strength Index)** using a **sigmoid function**, creating a mathematically "saturated" version that provides smoother, more controlled momentum signals. --- ## ✨ Key Features ### 🌊 **Saturation Effect** Unlike standard RSI which oscillates wildly between 0-100, this version uses a **hyperbolic tangent function** to compress extreme values: - 🔴 **Extreme readings** (very high/low) are dampened → pushed toward saturation zones (10 & 90) - 🟡 **Middle range** (30-70) remains responsive and dynamic - 🟢 **Sharp spikes** are smoothed while maintaining trend direction ### 👁️ **Dual Visualization** - **🔵 Blue Line**: RSI Sigmoid (Saturated) - Your primary signal - **🟠 Orange Circles**: Traditional RSI - For comparison - **🟣 Purple Area**: Difference plot showing transformation intensity ### 🎯 **Smart Signals** - **▲ Green Triangle**: Buy Signal when RSI Sigmoid crosses **above 50** - **▼ Red Triangle**: Sell Signal when RSI Sigmoid crosses **below 50** - **🎨 Background Colors**: Highlight oversold, overbought, and saturation zones --- ## ⚙️ How to Use ### 📐 **RSI Period** (Default: 50) ``` Higher Values (70-100) → Smoother, slower, fewer signals Lower Values (14-30) → More responsive, more signals, noisier ``` ### 🎚️ **Sigmoid Coefficient** (Default: 0.5) ``` Low (0.1-0.2) → Gentle saturation, closer to standard RSI Medium (0.25) → Balanced transformation High (0.3-0.5) → Aggressive saturation, strong dampening ``` ### 📍 **Oversold/Overbought Levels** Customize based on your: - Trading timeframe (1m, 5m, 1h, 1D, etc.) - Asset volatility - Trading style (scalping, swing, position) --- ## 🔍 What to Watch For | Signal | Meaning | Action | |--------|---------|--------| | 🟢 **Cross Above 50** | Bullish momentum shift | Consider long positions | | 🔴 **Cross Below 50** | Bearish momentum shift | Consider short positions | | ⚡ **Saturation < 10** | Extreme oversold | Potential reversal up | | 🔥 **Saturation > 90** | Extreme overbought | Potential reversal down | | 🟣 **Large Difference** | High transformation intensity | Strong momentum dampening | --- ## 💡 Trading Tips ✅ **DO:** - Use multiple timeframes for confirmation - Combine with support/resistance levels - Apply proper risk management (stop-loss, position sizing) - Backtest settings on your specific asset - Watch for divergences between price and indicator ❌ **DON'T:** - Rely solely on this indicator - Ignore market context and fundamentals - Over-leverage based on signals - Use default settings without testing - Trade without a clear strategy --- ## ⚠️ IMPORTANT DISCLAIMERS ### 🚨 **NOT Financial Advice** This indicator is provided for **educational and informational purposes only**. It does not constitute financial, investment, or trading advice. ### 🛡️ **Risk Warning** - ❌ **No guarantee of profits** - Past performance ≠ future results - ❌ **Do not rely on this alone** - Always use multiple analysis methods - ❌ **Markets are unpredictable** - No indicator can predict with certainty - ❌ **You can lose money** - Never risk more than you can afford to lose ### 🎛️ **Customization Required** All settings are **user-configurable** for a reason: - Default values may NOT suit your strategy - Different assets require different parameters - Always backtest before live trading - Adjust based on your timeframe and risk tolerance ### 📜 **Your Responsibility** - ✓ You are responsible for your own trading decisions - ✓ Always do your own research (DYOR) - ✓ Understand the risks before trading - ✓ Consider consulting a licensed financial advisor --- ## 📋 Quick Settings Guide | Trading Style | RSI Period | Sigmoid K | Notes | |---------------|------------|-----------|-------| | **Scalping** | 14-21 | 0.3-0.4 | Fast signals, higher noise | | **Day Trading** | 30-50 | 0.4-0.5 | Balanced responsiveness | | **Swing Trading** | 50-70 | 0.5 | Smoother, fewer false signals | | **Position Trading** | 70-100 | 0.5 | Very smooth, major trends only | --- ## 🏷️ License & Liability **Use at your own risk.** The creator assumes **no liability** for any trading losses, damages, or consequences resulting from the use of this indicator. --- ### 🤝 Happy Trading & Stay Safe! 📈 *Remember: The best indicator is your own knowledge and discipline.*
Penunjuk Pine Script®
oleh hasanaksoy199264
2
StO Price Action - Impulse CandleShort Summary - Highlights impulse candles based on relative momentum - Compares current or previous closed candles against prior price movement - Uses a configurable momentum factor to filter significant impulses - Designed to make strong directional candles visually stand out Full Description Overview - Identifies impulse candles with strong momentum - Focuses on candle-to-candle expansion rather than trend or structure - Intended to visually emphasize moments of acceleration in price - Works as a complementary tool to price action and volatility analysis Impulse Candle Logic - Impulse candles are detected by comparing the current candle range to previous candles - A candle is considered an impulse when its range exceeds prior movement by a defined factor - The comparison basis can be (current forming Candle, previous fully closed Candle) Momentum Factor - The momentum factor defines how much stronger a candle must be compared to earlier candles - Higher values filter out smaller moves and highlight only extreme impulses - Lower values allow more frequent impulse detection - Helps adapt the indicator to different instruments and volatility regimes Range Calculation - Two range calculation modes are available: - Open / Close (Body range): - Measures body-based momentum - Focuses on directional conviction - High / Low (Candle range): - Measures full volatility expansion - Includes wicks and intrabar extremes Visualization - Impulse candles are highlighted using a customizable bar color - Designed to remain minimal and unobtrusive Alerts - Optional alert can be enabled after detected impulse candles - Useful for monitoring momentum shifts without constant screen time Usage - Suitable for breakout detection and momentum confirmation - Helps identify volatility expansion phases - Can be used for entry timing or trade management Notes - This indicator does not predict direction on its own - Impulse candles may occur in both trending and ranging markets - Best used in combination with structure, levels or higher-timeframe context - Momentum thresholds should be adjusted per market and timeframe
Penunjuk Pine Script®
oleh sto_svc
Institutional Volatility Expansion & Liquidity Thresholds (IVEL)Overview The IVEL Engine is an institutional-grade volatility modeling tool designed to identify the mathematical boundaries of price delivery. Unlike retail oscillators that use fixed scales, this script utilizes dynamic ATR-based multiples to map Institutional Premium and Discount zones in real-time. How to Use To maximize the effectiveness of the IVEL Engine, traders should focus on Price Delivery at the extreme thresholds: Identifying Institutional Premium (Short Setup) : When price expands into the Upper Red Zone, it has reached a mathematical exhaustion point. Seek short-side entries when price shows signs of rejection from this level back toward the Fair Value Baseline. Identifying Institutional Discount (Long Setup) : When price reaches the Lower Green Zone, it is considered "cheap" by institutional algorithms. Look for long-side absorption or accumulation patterns within this zone. Mean Reversion Targets: The Fair Value Baseline (Center Line) acts as the primary magnetic target. Successful trades taken at the outer thresholds should use the baseline as the first objective for profit-taking. Alerts & Execution Strategy The IVEL Engine is designed for automated monitoring so you don't have to watch the screen 24/7. To set up your execution workflow: Set the Alert : Right-click the indicator and select "Add Alert." Set the condition to "Price Crossing Institutional Premium" (Upper Red) or "Price Crossing Institutional Discount" (Lower Green). Wait for the Hit : Do not market-enter as soon as the alert fires. The alert tells you price has entered a High-Probability Liquidity Zone. Confirm the Rejection : Once alerted, drop down to a lower timeframe (e.g., 5m or 15m) and look for a "Shift in Market Structure" or an SMT Divergence. Execute : Enter once the rejection is confirmed, targeting the Fair Value Baseline as your primary TP1. Methodology The script anchors to an EMA-based baseline and projects expansion bands that adapt to current market conditions. Value Area : The blue inner region where the majority of trading volume occurs. Liquidity Exhaustion : The red and green outer regions where the probability of "Smart Money" reversal is highest.
Penunjuk Pine Script®
oleh TJT_Pro
RADAR_V67_TESTThis V67 indicator is a comprehensive trend-following strategy designed to filter out market noise and identify high-probability entries in the cryptocurrency market. The system is built on three major technical pillars: Hull Moving Average (HMA): Provides superior reactivity to trend reversals compared to standard moving averages. Supertrend: Acts as a primary trend filter to ensure we only trade in a confirmed bullish environment. Volume Analysis (POC): The script identifies the Point of Control (POC) to ensure that buy signals occur above institutional congestion zones. The buy signal (Screener_Signal = 1) is triggered only when the price crosses above the Hull MA while remaining above the Supertrend and the volume POC. This is a robust tool for both swing trading and day trading, focusing on momentum and institutional support. Le Supertrend : Il sert de filtre de sécurité pour s'assurer que nous sommes dans une dynamique haussière confirmée. L'analyse du Volume (POC) : Le script identifie le prix où le volume a été le plus important (Point of Control) pour s'assurer que l'achat se fait au-dessus des zones de congestion institutionnelles. Le signal d'achat (Screener_Signal = 1) est déclenché uniquement lorsque le prix croise la Hull MA à la hausse, tout en restant au-dessus du Supertrend et du POC de volume. C'est un outil robuste pour le swing trading et le day trading.
Strategi Pine Script®
oleh lolorenzo13
Manus Forex Alpha Pro Indicator (Trend-Momentum Hybrid)ใช้ AI Manus ช่วยผสมผสานให้ ใช้งานง่ายดี น่าจะไม่ต้องอธิบายนะครับ เพราะเป็นพื้นฐานการใช้งาน เพียงแต่มี แดชบอร์ด ช่วยให้อ่านง่ายขึ้น การลงทุนมีความเสี่ยง ไม่มีเครื่องมือใดคาดการณ์ถูกต้อง 100% เรียนรู้ ฝึกฝน มีวินัย ควบคุมความเสี่ยง ด้วยตนเอง Using AI Manus helps integrate it, making it easy to use. I don't think I need to explain this, as it's basic usage. The dashboard simply makes it easier to read. Investing involves risk; no tool is 100% accurate. Learn, practice, be disciplined, and manage your own risk.
Penunjuk Pine Script®
oleh kkk_mooy_in_FB
Blockcircle FTR - Follow Through ReversalWHAT THIS INDICATOR DOES Blockcircle FTR identifies failed directional moves followed by quality reversals. The indicator tracks structural pivot levels, monitors price interactions with those levels, and validates reversal sequences against a configurable threshold. A trend filter provides macro context so you can evaluate whether signals align with or oppose the broader direction. KEY FEATURES Reversal quality filtering via delivery threshold requirement Sweep confirmation when reversals follow liquidity grabs at structural levels ATR-adaptive origin zones marking reversal starting points Trend alignment indicator comparing signal bias to moving average direction Volume validation filter for participation confirmation Real-time dashboard with signal statistics and alignment status DETAILED BREAKDOWN Structural Level Tracking The indicator identifies pivot highs and lows based on the Structure Lookback parameter. These pivots serve as reference levels where liquidity typically accumulates. Levels remain active until price interacts with them or they exceed the Level Lifespan setting. When the price reaches a structural level, this interaction is logged. If a reversal then forms in the opposite direction within the Sweep Window, the signal qualifies as sweep-confirmed, indicating that stops were likely triggered before the move reversed. FTR Detection Logic The core detection looks for a specific sequence: a directional attempt that fails to follow through, followed by a counter-move that meets the Delivery Threshold ratio. This ratio measures the quality of the reversal relative to the failed move's structure. Higher threshold values (closer to 1.0) require cleaner, more convincing reversals. Lower values (closer to 0.1) allow weaker setups through. The default of 0.7 provides reasonable filtering without being overly restrictive. Trend Context Filter A moving average (EMA or SMA, configurable period) provides simple trend context. The dashboard displays three related metrics: Trend: Current price position relative to the MA (Bullish/Bearish) FTR Bias: Direction of the most recent confirmed signal (Long/Short) Aligned: Whether these two readings match (Yes/No) This helps identify situations where the FTR bias has become stale or is positioned against the prevailing trend. Signal Classification Standard signals appear as small triangles and represent FTR patterns that passed the delivery threshold and any active filters. Sweep-confirmed signals appear with an "S" label and represent the subset of signals where price swept a structural level shortly before the reversal formed. These carry higher conviction due to the additional liquidity context. Dashboard Metrics The information panel provides: Current trend direction and FTR bias Alignment status between the two Bars elapsed since the last signal Running totals for long and short signals Sweep-confirmed counts in parentheses Volume filter status Configuration Parameters Structure Lookback: Bars used for pivot detection. Higher values capture more significant swings. Delivery Threshold: Minimum ratio for valid reversals. Range 0.1 to 1.0. Level Lifespan: The maximum bars a structural level remains active. Sweep Window: Lookback period for sweep confirmation. Trend MA Period: Moving average length for trend context. Volume Spike Multiple: Required volume ratio when volume filter is active. Zone Depth: Origin zone width as ATR multiple. Practical Application Sweep-confirmed signals with trend alignment represent the highest-conviction setups. These combine a quality reversal pattern, liquidity sweep context, and trend support. Standard signals without sweep confirmation remain valid FTR patterns but warrant additional discretion. Counter-trend signals (Aligned showing NO) can still produce valid moves, but historically carry lower probability. Consider position sizing adjustments accordingly. Origin zones serve as potential support/resistance areas for subsequent price returns. Important Limitations The indicator may remain biased in the wrong direction during extended trends if no qualifying reversal pattern forms. The trend filter helps identify these situations, but does not automatically override the FTR bias. Signal counts are calculated on visible chart history and will vary based on the loaded timeframe and bar count. As with any technical tool, signals should be evaluated within the broader market context rather than traded mechanically. Hope you find it useful! If you have any questions, please don't hesitate to ask them!
Penunjuk Pine Script®
oleh blockcircle
2
OI: Simple BandOI: Simple Band (Open Source) OI: Simple Band is a very simple, open-source overlay that draws a two-line moving-average band and fills the space between them to highlight trend bias and momentum shifts at a glance. What it plots EMA (Exponential Moving Average) using the selected length SMMA (Smoothed Moving Average) using the same length A ribbon fill between the two: Green when EMA > SMMA (bullish bias) Red when EMA < SMMA (bearish bias) Why use two different MAs with the same length? Even with the same length, these two averages react differently: EMA weights recent prices more heavily, so it responds faster to changes. SMMA is designed to be steadier and slower, filtering more noise. Using the same length keeps the comparison fair (same smoothing window) while still giving you a “fast vs slow response” relationship. The distance and relationship between them becomes a simple way to see: Momentum / pressure: When EMA pulls away from SMMA, price is moving with enough force to overcome smoothing. Compression: When they converge, momentum is fading and conditions often look more “balanced.” State changes: Crossovers flip the ribbon colour and can be used as a context shift (trend/bias filter), not a standalone entry/exit rule. Inputs Moving average band (length): Controls both EMA and SMMA smoothing. SMMA Source: Chooses the data used for the SMMA calculation (EMA is calculated on close). Notes This is intentionally minimal: no higher-timeframe requests, no security() calls, no signals — just a clean visual band. Like all moving averages, it updates on the live candle and will settle on bar close.
Penunjuk Pine Script®
oleh OriginalIndicators
Adaptive Momentum Contextdaptive Momentum Context (AMC) Adaptive Momentum Context (AMC) is a single-panel, overlay indicator designed to help traders read market context, momentum behavior, and volatility-driven rhythm in a structured and non-misleading way. This indicator does not aim to predict future price movements. Instead, it focuses on describing current market conditions using adaptive smoothing and higher-timeframe bias. Concept Overview AMC is built around three core ideas: Higher Timeframe Context (Bias) Adaptive Market Rhythm Momentum Behavior within Context These components are combined to provide a clearer view of when momentum aligns with the broader market structure. Higher Timeframe Bias The indicator retrieves price data from a user-selected higher timeframe and compares it to a moving average on that timeframe. When higher timeframe price is above its average, the background is shaded green. When it is below, the background is shaded red. This background does not generate signals. Its purpose is to define directional context and reduce decision-making against dominant market conditions. Adaptive Market Rhythm Instead of using a fixed-length moving average, AMC calculates an adaptive smoothing length based on relative volatility. When volatility expands, the smoothing period increases. When volatility contracts, the smoothing period shortens. Because Pine Script does not allow dynamic lengths in built-in moving averages, the adaptive line is calculated manually using a recursive EMA formula. This ensures: No repainting No future data access Full Pine Script v6 compliance The adaptive line represents the current market rhythm, not a trend guarantee. Momentum Behavior Momentum is derived from changes in the adaptive rhythm rather than raw price. Small visual markers appear when: Momentum accelerates in the direction of the higher timeframe bias Momentum decelerates against that bias These markers are contextual cues, not standalone trade signals. How to Use AMC is best used as a context and filtering tool, not as a mechanical entry system. Possible use cases: Filtering lower-timeframe entries Avoiding trades against higher-timeframe structure Visualizing momentum shifts during pullbacks or continuations Users are encouraged to combine this indicator with their own risk management and execution rules. Important Notes This indicator does not provide performance guarantees. Past behavior does not imply future results. No lookahead, no repainting, or non-standard chart types are used. Default settings are intended for general use and may require adjustment depending on market and timeframe.
Penunjuk Pine Script®
oleh aioncharts
Momentum Indikator (Avg Volume)Momentum Indicator (Avg Volume) 1. Purpose of the Indicator The WMT Momentum Indicator (Avg Volume) is designed to highlight strong price movements accompanied by increased trading volume. It specifically filters for trading days where: volume is increasing, volume is above its average, and the percentage price movement exceeds a defined threshold. The goal is to identify momentum days early — both bullish and bearish. 2. Display & Visualization Visualization: Histogram (columns) Panel: Separate indicator window (overlay = false) Y-Axis: Percentage price change compared to the previous close Colors: 🟢 Green: Positive daily movement (Close ≥ Open) 🔴 Red: Negative daily movement (Close < Open) Zero Line: Reference line separating positive and negative momentum 3. Input Parameters Parameter Description Default +/- Movement Threshold (%) Minimum absolute daily price movement in percent 4.0 % Volume Average (Days) Period for the moving average of volume 20 days 4. Logic & Calculations 4.1 Volume Conditions The indicator only considers days where: Volume is higher than the previous day volHigherPrev = volume > volume Volume is above the moving average avgVolume = ta.sma(volume, volLength) volAboveAvg = volume > avgVolume ➡️ This ensures that only days with unusually high market participation are taken into account. 4.2 Price Movement Percentage change vs. previous close priceMovePct = (close - close ) / close * 100 Absolute movement absMovePct = math.abs(priceMovePct) Intraday direction priceMoveDay = close - open 4.3 Direction Logic Condition Meaning priceMoveDay ≥ 0 Bullish day (green) priceMoveDay < 0 Bearish day (red) 4.4 Main Condition (Signal Filter) A bar is displayed only if all of the following conditions are met: showBar = volHigherPrev and volAboveAvg and absMovePct >= moveThreshold ➡️ Interpretation: Only strong price movements with rising and above-average volume are visualized. 5. Color Logic barColor = showBar and volGreen ? color.green : showBar and volRed ? color.red : na Color Meaning Green Strong bullish momentum Red Strong bearish momentum No bar Conditions not met 6. Plot Description Momentum Histogram plot( showBar ? priceMovePct : na, style = plot.style_columns ) Bars are plotted only when showBar = true Bar height represents the percentage change vs. previous close Direction and color indicate momentum direction Zero Line hline(0, "0-Line") Visual separation between positive and negative momentum Helps with quick interpretation 7. Typical Use Cases Identifying breakout days Confirming trend continuation Detecting distribution or accumulation Filtering for momentum trading & swing trading Complementing price action or volume-based strategies 8. Practical Interpretation Tall green bar: → Strong buying pressure, potential trend start or continuation Tall red bar: → Strong selling pressure, possible trend exhaustion or short signal No bars: → Market without relevant momentum (sideways / low volume)
Penunjuk Pine Script®
oleh kthiele
Dual RSI Spread Strategy [Custom] 概述 这是一个综合性的动量交易工具，结合了双重 RSI 交叉系统与经典 RSI 背离检测功能。该指标旨在通过分析短期与长期动量的“剪刀差”来识别潜在的超买/超卖区域，并辅以顶底背离信号作为反转确认。 核心功能与逻辑 1. 双重 RSI 差值信号 (Dual RSI Spread) 该策略同时计算两条 RSI 曲线： 短周期 RSI (默认 13)：对价格变化反应灵敏。 长周期 RSI (默认 42)：代表长期趋势基准。 交易信号基于两条 RSI 的差值 (Spread) 生成，逻辑如下： 🟢 买入信号 (Buy)：当 长周期 RSI - 短周期 RSI > 20。这意味着短期动量严重低于长期基准，市场可能处于深度超卖状态，存在均值回归需求。 🔴 卖出信号 (Sell)：当 短周期 RSI - 长周期 RSI > 20。这意味着短期动量冲高过快，远超长期基准，市场可能过热。 2. RSI 顶底背离 (Divergence) 指标内置了经典的背离检测算法（可选择开启/关闭），应用于短周期 RSI： Bullish Divergence (看涨背离)：价格创新低，但 RSI 底部抬高。 Bearish Divergence (看跌背离)：价格创新高，但 RSI 顶部降低。 (注意：背离功能默认关闭，请在设置中勾选 "Calculate Divergence" 开启) 3. 高度自定义 支持自定义 RSI 长度、平滑类型 (SMA/EMA) 及平滑长度。 支持自定义差值阈值（默认 20）。 完整的告警支持：可分别为差值信号和背离信号设置 TradingView 告警。 如何使用 建议将“差值信号”作为预警，结合“背离信号”作为确认。当出现“买入”标签且随后出现 Bullish 背离时，胜率通常更高。 Overview This is a comprehensive momentum trading tool that combines a Dual RSI Cross System with Classic RSI Divergence Detection. It is designed to identify potential overbought/oversold conditions by analyzing the "spread" between short-term and long-term momentum, reinforced by divergence signals for reversal confirmation. Key Features & Logic 1. Dual RSI Spread Signals The script calculates two RSI lines simultaneously: Short RSI (Default 13): Sensitive to immediate price changes. Long RSI (Default 42): Represents the longer-term baseline. Trading signals are generated based on the Spread (Difference) between these two lines: 🟢 BUY Signal: Triggers when Long RSI - Short RSI > 20. This implies short-term momentum is significantly below the long-term baseline, suggesting a deep oversold condition and potential mean reversion. 🔴 SELL Signal: Triggers when Short RSI - Long RSI > 20. This implies short-term momentum has spiked too far above the baseline, suggesting an overheated market. 2. RSI Divergence The indicator includes a built-in divergence detection algorithm (optional) applied to the Short RSI: Bullish Divergence: Price makes a lower low, but RSI makes a higher low. Bearish Divergence: Price makes a higher high, but RSI makes a lower high. (Note: Divergence is disabled by default. Please check "Calculate Divergence" in the settings to enable). 3. Fully Customizable Configurable RSI lengths, Smoothing types (SMA/EMA), and Smoothing lengths. Adjustable Spread Threshold (Default is 20). Full Alert Support: Set alerts specifically for Spread Signals or Divergence detections. How to Use It is recommended to use the "Spread Signals" as an early warning system and the "Divergence Signals" as confirmation. A setup where a "BUY" spread label is followed by a Bullish Divergence line often presents a higher probability trade.
Penunjuk Pine Script®
oleh xiaoVinter
SMC Rebalance to Equilibrium + ATR/ADX (Release)Markets spend more time rebalancing than trending. After an impulsive move, price naturally seeks fair value (equilibrium / mean / VWAP / 50%) where buyers and sellers agree again. This makes rebalance trades higher win-rate and lower risk compared to continuation or breakout strategies. Examples from real market behaviour: - Gold futures (GC) rebalance very frequently because gold is heavily mean-reverted by institutions and hedgers. Roughly 60–70% of intraday moves show some form of rebalance. - Nasdaq (NQ) is momentum-dominant, but even then 45–55% of intraday extensions rebalance, especially outside NY Open. - FCPO is strongly controlled and rotational, with 70–80% of moves showing rebalance behaviour, especially outside aggressive news flows. What each candle label means in this indicator This indicator labels ATR state per candle to read market intent: E (Expansion) - Volatility increasing. Aggressive participation. Used to drive price, not to rebalance. S (Strong) - Sustained momentum. Trend still active. D (Decreasing) - Volatility contracting. Acceptance forming. This is the core condition for rebalance. W (Weak) represents very low momentum and temporary hesitation. W means the market is unsure. Indicator features explained This indicator is designed to be simple, objective, and rule-based: Candle labels show real-time ATR state (E / S / D / W) Strong rebalance condition is highlighted when D-D-D forms Filters avoid signals during ADX expansion Designed specifically for SMC rebalance to equilibrium, not continuation Alerts trigger only when valid rebalance conditions appear, helping traders avoid over-trading and impulsive entries Why D-D-D is very important? Three consecutive D candles (D-D-D) mean: - Volatility has contracted for multiple closes - Chasers are gone - Order flow is absorbed - Market accepts current price as unfair This is the strongest condition for price to return to equilibrium and sometimes continue further to MRH / MRL instead of stopping at 50%. Important: One or two D candles are not enough. D-D-D confirms acceptance, not just a pause Why NOT to trade rebalance when ADX is expanding ADX expansion means trend strength is increasing. When ADX is expanding: - Decreasing ATR often means reload, not reversal - Price is being delivered, not balanced - Rebalance attempts usually fail This indicator filters out rebalance signals when ADX shows expansion because trend strength overrides balance logic. Why price can rebalance without taking liquidity A liquidity sweep is not required for rebalance. Rebalance happens because acceptance changes, not because stops are hunted. Price returns to equilibrium when: - Momentum fades - Volatility contracts - Participation drops - Passive orders dominate Liquidity sweeps only make the move faster, not necessary. This is why rebalances commonly happen in Asian session, late US session, and mid-range conditions without any obvious stop-run. Best time to trade rebalance (US & Malaysia time) Rebalance works best when liquidity is stable or decaying, not expanding. Best for Gold (GC) - US Late Session: 11:30 pm – 2:00 am MYT - Asian Morning: 7:00 am – 11:00 am MYT Best for Nasdaq (NQ) - US Late Session only: 11:30 pm – 1:30 am MYT Avoid for all markets - NY Open impulse: 8:30 pm – 10:30 pm MYT This is delivery time, not balance time. Core idea to remember Rebalance trading is not about predicting reversals. It is about waiting for acceptance. Liquidity makes moves fast. Acceptance makes moves possible. This indicator exists to help you trade what markets do most of the time — rebalance back to fair value — with discipline and structure
Penunjuk Pine Script®
oleh inzuddin
Supertrend Nova Cloud [Pineify]Supertrend Nova Cloud Overview The Supertrend Nova Cloud is a sophisticated trend-following system designed to filter market noise and provide clear, actionable insights into market direction and volatility. By combining two distinct Supertrend calculations—the fast-acting "Nova" and the slower, more robust "Nebula"—this indicator creates a dynamic "Cloud" that visualizes the strength and stability of the current trend. It is engineered to help traders identify strong trending periods, potential pullbacks, and major reversals with greater confidence than a single Supertrend indicator. Key Features Dual-Trend Architecture: Utilizes a two-layer approach with a Fast (Nova) and Slow (Nebula) Supertrend to define market structure. Dynamic Nova Cloud: A visual gradient fill between the two trendlines that adjusts its intensity ("Glow") based on the spread between the trends, representing market volatility. Smart Candle Coloring: Candles are colored based on the consensus between the two trends, clearly distinguishing between strong trends, pullbacks, and recovery phases. High-Quality Signals: Buy and Sell signals are filtered and only generated when the major (Slow) trend reverses, reducing false signals during chop. Real-time Dashboard: An on-chart dashboard displays the current state of both the Nova and Nebula trends for instant analysis. How It Works The Supertrend Nova Cloud operates on the principles of Average True Range (ATR) volatility to determine trend direction. Nova (Fast Trend): Calculated using a shorter ATR length (default 10) and a lower multiplier (default 2.0). This line reacts quickly to price changes, serving as an early warning system or trailing stop for aggressive entries. Nebula (Slow Trend): Calculated using a longer ATR length (default 20) and a higher multiplier (default 4.0). This line defines the overall market bias and acts as significant support/resistance. Cloud Gradient Logic: The script calculates the absolute difference (delta) between the Nova and Nebula lines. It compares this delta to its recent historical maximum to determine the opacity of the fill color. A wider spread (higher volatility) results in a brighter, more opaque cloud, while a narrow spread (consolidation) results in a more transparent cloud. How multiple indicators work together In trading, a single trend indicator often faces a dilemma: if it's too fast, it gives false signals; if it's too slow, it lags significantly. The Supertrend Nova Cloud solves this by combining both: The Fast Supertrend captures immediate momentum and provides potential re-entry points during strong trends. The Slow Supertrend acts as a filter. The script logic enforces that major reversal signals ("NOVA BUY/SELL") are only triggered when this slower, dominant trend changes direction. By requiring the Slow trend to confirm the reversal, the indicator filters out the "noise" that would typically whip-saw a standard Supertrend. Trading Ideas and Insights Trend Riding: When the Cloud is fully Green (Strong Bull) or Red (Strong Bear), and the candles match this color, the trend is established. These are ideal conditions for holding positions. Pullback Opportunities: If the candles turn a lighter shade (e.g., light red during an uptrend), it indicates the price has broken the Fast trend but holds above the Slow trend. This "Mixed" state often represents a buying opportunity in an uptrend (or selling in a downtrend). Volatility Expansion: A widening cloud (brighter glow) indicates expanding volatility and often accompanies a strong breakout or trend acceleration. Unique Aspects Visual Volatility Feedback: Unlike standard fills, the "Nova Cloud" uses a custom algorithm to adjust transparency based on the relative distance between the two trendlines. This gives traders an intuitive sense of market expansion and contraction. Nuanced State Detection: The script doesn't just show Up or Down. It identifies four states: Strong Bull, Strong Bear, Fast Bull/Slow Bear (Recovery), and Fast Bear/Slow Bull (Pullback), coding the candles accordingly. How to Use Entry: Look for "NOVA BUY" or "NOVA SELL" labels. These appear when the major trend (Nebula) flips, confirming a significant shift in market structure. Stop Loss: The Nebula (thick) line serves as a robust trailing stop loss. As long as price holds beyond this line, the macro trend remains intact. Re-Entry/Pyramiding: During a strong trend, if price dips into the cloud (changing candle color to mixed/neutral) and then resumes the trend color, it can be a valid re-entry signal. Customization Users can fully customize the indicator via the settings menu: Nova & Nebula Settings: Adjust the ATR Length and Factor for both the Fast and Slow trends to tune sensitivity for different timeframes or assets. Visuals: Toggle the Dashboard, Candle Coloring, and customize the colors for Bullish, Bearish, and Neutral states. Conclusion The Supertrend Nova Cloud offers a comprehensive visual interface for trend traders. By harmonizing two time horizons of volatility analysis into a single, cohesive display, it simplifies decision-making and helps traders stay on the right side of the major trend while identifying granular opportunities within it.
Penunjuk Pine Script®
oleh Pineify
4
Scalp Precision Matrix [BullByte]SCALP PRECISION MATRIX (SPM) OVERVIEW Scalp Precision Matrix (SPM) is a comprehensive decision-support framework designed specifically for scalpers and short-term traders. This indicator synthesizes five distinct analytical layers into a unified system that helps identify high-quality setups while avoiding common pitfalls that trap traders. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ THE CORE PROBLEM THIS INDICATOR ADDRESSES Scalping demands rapid decision-making while simultaneously processing multiple data points. Traders constantly ask themselves: Is momentum still alive? Am I entering near a potential reversal zone? Is this the right session to trade? What is my actual risk-to-reward? Most traders either overwhelm themselves with too many separate indicators (creating analysis paralysis) or use too few (missing crucial context). SPM was developed to consolidate these essential checks into one cohesive framework. Rather than overlaying disconnected indicators, each component in SPM directly informs and adjusts the others, creating an integrated analytical system. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHY THESE SPECIFIC COMPONENTS AND HOW THEY WORK TOGETHER The five analytical layers in SPM are not arbitrarily combined. Each addresses a specific question in the scalping decision process, and together they form a logical workflow: LAYER 1: MOMENTUM FUEL GAUGE This answers the question: "Does the current move still have energy?" After any impulse move (a significant directional price movement), momentum naturally decays over time. The Fuel Gauge estimates remaining momentum by analyzing four factors: Body Strength (30% weight): Compares recent candle body sizes against the historical average. Strong momentum produces candles with large bodies relative to their wicks. The calculation takes the 3-bar average body size divided by the 20-bar average body size, then scales it to a 0-100 range. Wick Rejection (25% weight): Measures the wick-to-body ratio. When wicks are large relative to bodies, it suggests rejection and weakening momentum. A ratio of 2.0 or higher (wicks twice the body size) scores low; smaller ratios score higher. Volume Consistency (20% weight): Compares recent 3-bar average volume against the lookback period average. Sustained moves require consistent volume support. Volume dropping off suggests the move may be losing participation. Time Decay (25% weight): Tracks how many bars have passed since the last detected impulse. Momentum naturally fades over time. The typical impulse duration is adjusted based on the current volatility regime. These components are weighted and combined, then smoothed with a 3-period EMA to reduce noise. The result is a 0-100% gauge where: - Above 70% = Strong momentum (green) - 40-70% = Moderate momentum (amber) - Below 40% = Weak momentum (red) - Below 20% = Exhausted (triggers EXIT warning) The Fuel Gauge also estimates how many bars of momentum remain based on the current burn rate. IMPORTANT DISCLAIMER : The Fuel Gauge is NOT order flow, volume profile, or depth of market data. It is a technical proxy calculated entirely from standard OHLCV (Open, High, Low, Close, Volume) data. The term "Fuel" is used metaphorically to represent estimated remaining momentum energy. LAYER 2: TRAP ZONE DETECTION This answers the question: "Am I walking into a potential reversal area?" Price tends to reverse at levels where it has reversed before. SPM identifies these zones by detecting clusters of historical swing points: How it works: 1. The indicator detects swing highs and swing lows using the Swing Detection Length setting (default 5 bars on each side required to confirm a pivot). 2. Recent swing points are stored (up to 10 of each type). 3. For each potential zone, the algorithm counts how many swing points cluster within a tolerance of 0.5 ATR. 4. Zones with 2 or more clustered swing points, positioned between 0.3 and 4.0 ATR from current price, are marked as Trap Zones. 5. A Confluence Score is calculated based on cluster density and proximity to current price. The percentage displayed (e.g., "TRAP 85%") is a CONFLUENCE SCORE, not a probability. Higher percentages mean more swing points cluster at that level and price is closer to it. This indicates stronger historical significance, not a prediction of future reversal. CRITICAL DISCLAIMER : Trap Zones are NOT institutional order flow, liquidity pools, smart money footprints, or any proprietary data feed. They are calculated purely from historical swing point clustering using standard technical analysis. The term "trap" describes how price action has historically reversed at these levels, potentially trapping traders who enter prematurely. This is pattern recognition, not market structure data. LAYER 3: VELOCITY ANALYSIS This answers the question: "Is price moving favorably right now?" Velocity measures how fast price is currently moving compared to its recent average: Calculation: - Current velocity = Absolute price change from previous bar divided by ATR - Average velocity = Simple moving average of velocity over the lookback period - Velocity ratio = Current velocity divided by average velocity Classification: - FAST (ratio above 1.5 ): Price is moving significantly faster than normal. Good for momentum continuation plays. - NORMAL (ratio 0.5 to 1.5) : Typical price movement speed. - SLOW (ratio below 0.5 ): Price is moving sluggishly. Often indicates ranging or choppy conditions where scalping becomes difficult. The velocity score contributes 18% to the overall quality score calculation. LAYER 4: SESSION AWARENESS This answers the question: "Is this a good time to trade?" Different trading sessions have different characteristics. SPM automatically detects which major session is active and adjusts its quality assessment: Session Times (all in UTC): - A sia Session : 00:00 - 08:00 UTC - London Session : 08:00 - 16:00 UTC - New York Session : 13:00 - 21:00 UTC - London/NY Overlap : 13:00 - 16:00 UTC - Off-Peak : Outside major sessions Session Quality Weighting: - Overlap : 100 points (highest liquidity, best movement) - London : 85 points - New York : 80 points - Asia : 50 points (tends to range more) - Off-Peak : 30 points (lower liquidity, more false signals) The session score contributes 17% to the overall quality calculation. Signals are also filtered to prevent firing during off-peak hours. Note : These are fixed UTC times and may not perfectly match your broker's session boundaries. Use them as general guidance rather than precise timing. LAYER 5: VOLATILITY REGIME ADAPTATION This answers the question: "How should I adjust for current market conditions?" SPM compares current volatility (14-period ATR) against historical volatility (50-period ATR) to categorize the market: HIGH Volatility (ratio above 1.3): Current ATR is 30%+ above normal. SPM widens thresholds to filter noise and extends target projections. NORMAL Volatility (ratio 0.7 to 1.3): Typical conditions. Standard parameters apply. LOW Volatility (ratio below 0.7): Current ATR is 30%+ below normal. SPM tightens thresholds for sensitivity and reduces target expectations. The market state may show AVOID during prolonged low volatility. This adaptation prevents false signals during erratic markets and missed signals during quiet markets. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ THE SYNERGY: WHY THIS COMBINATION MATTERS These five layers are not independent indicators placed on one chart. They form an interconnected system: - A signal only fires when momentum exists (Fuel above 40%), price is away from danger zones (Trap Zones factored into quality score), movement is favorable (Velocity contributes to score), timing is appropriate (Session is not off-peak), and volatility is accounted for (thresholds adapt to regime). - The Trap Zones directly influence Entry Zone placement. Entry zones are positioned beyond trap zones to avoid getting caught in reversals. - Target projections automatically adjust to avoid placing take-profit levels inside detected trap zones. - The Fuel Gauge affects which signal tier fires. Insufficient fuel prevents all signals. - Session quality is weighted into the overall score, reducing signal quality during less favorable trading hours. This integration is the core originality of SPM. Each component makes the others more useful than they would be in isolation. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ HOW THE QUALITY SCORE IS CALCULATED The Quality Score (0-100) synthesizes all layers into a single number for each direction (long and short): For Long Quality Score: - Fuel Component (28% weight) : Full fuel value if impulse direction is bullish; 60% of fuel value otherwise - Trap Avoidance (22% weight) : 75 points if no trap zone below; otherwise 100 minus the trap confluence score (minimum 20) - Velocity Component (18% weight) : Direct velocity score - Session Component (17% weight) : Current session quality score - Trend Alignment (15% bonus) : Adds 12 points if price is above the 20-period SMA For Short Quality Score: - Same structure but reversed (bearish impulse direction, trap zone above, price below SMA) The direction with the higher score becomes the current Bias. A 12-point difference is required to switch bias, preventing flip-flopping in neutral conditions. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SIGNAL TYPES AND WHAT THEY MEAN SPM generates four types of signals, each with specific visual representation: PRIME SIGNALS (Cyan Diamond) These represent the highest quality confluence. Requirements: - Quality score crosses above the Prime threshold (default 80) - Bias aligns with signal direction - Fuel is sufficient (above 40%) - Session is active (not off-peak) - Cooldown period has passed Prime signals appear as cyan-colored diamond shapes. Long signals appear below the bar; short signals appear above. STANDARD SIGNALS (Green Triangle Up / Red Triangle Down) These represent good quality setups. Requirements: - Quality score crosses above the Standard threshold (default 75) but below Prime - Same bias, fuel, and cooldown requirements as Prime Standard signals appear as small triangles in green (long) or red (short). CAUTION SIGNALS (Small Faded Circle) These represent minimum threshold setups. Requirements: - Quality score crosses above the Caution threshold (default 65) but below Standard - Same additional requirements Caution signals appear as small, faded circles. These suggest the setup exists but with weaker confluence. Consider these only when broader market context supports them, or skip them entirely during uncertain conditions. EXHAUSTION SIGNAL (Purple X with "EXIT" text) This warning appears when the Fuel Gauge drops below 20% from above, indicating momentum has depleted. This is not a trade signal but a warning to: - Consider exiting existing positions - Avoid entering new trades in the current direction - Wait for new momentum to develop All signals use CONFIRMED bar data only (referencing the previous closed bar) to prevent repainting. Once a signal appears, it will never disappear or change position on historical bars. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ READING THE CHART ELEMENTS TRAP ZONES (Red Dashed Box with "TRAP XX%" Label) These mark price levels where multiple historical swing points cluster. The red dashed box shows the zone boundaries. The percentage is the confluence score indicating cluster strength and proximity. How to use: When price approaches a trap zone, be cautious about entering in that direction. If your bias is LONG and there's a strong trap zone above, consider taking partial profits before price reaches it or adjusting your target below it. ENTRY ZONES (Green Solid Box with "ENTRY" Label) These show suggested entry areas based on the current bias direction. For LONG bias, the entry zone appears below the trap zone (buying the dip beyond support). For SHORT bias, it appears above the trap zone (selling the rally beyond resistance). How to use: Rather than entering at current price, consider placing limit orders within the entry zone. This positions you beyond where typical trap reversals occur. TARGET ZONES (Blue Dotted Box with "TARGET" Label) These project potential take-profit areas based on ATR multiples, adjusted for: - Current volatility regime (wider in high volatility, tighter in low) - Impulse direction (larger targets when aligned with impulse) - Nearby trap zones (targets adjust to avoid placing TP inside trap zones) How to use: These are suggestions, not guarantees. Consider taking partial profits before the target or using trailing stops once price moves favorably. STOP LEVEL (Orange Dashed Line with "STOP" Label) This shows suggested stop-loss placement, calculated as 0.8 ATR beyond the trap zone (or 2.0 ATR from current price if no trap zone exists). How to use: This provides a reference for risk calculation. The dashboard R:R ratio is calculated using this stop level. Chart Example: Scalp Precision Matrix displays real-time market analysis through dynamic zones and quality scores. ENTRY/TARGET/STOP zones show potential price levels based on current market structure - they appear continuously as reference points, NOT as trade instructions. Actual trade signals (diamonds, triangles, circles) fire only when multiple conditions align: quality score thresholds are crossed, fuel gauge is sufficient, session is active, and cooldown period has passed. The zones help you understand market context; the signals tell you when to act. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ UNDERSTANDING THE DASHBOARD (Top Right Panel) The main dashboard provides comprehensive market context: Row 1 - Header: - "SPM " : Indicator name - Market State : Current overall condition Market States Explained: - PRIME : Excellent conditions. Quality score meets prime threshold, session is active. Best opportunities. - READY : Good conditions. Quality score meets standard threshold. Solid setups available. - WAIT : Mixed conditions. Some factors favorable, others not. Patience recommended. - AVOID : Poor conditions. Off-peak session or very low volatility. High risk of false signals. - EXIT : Fuel exhausted. Momentum depleted. Consider closing positions or waiting. Row 2-3 - Quality Bars: - " UP ########## " : Visual meter for long quality (each # = 10 points, . = empty) - " DN ########## " : Visual meter for short quality - The number on the right shows the exact quality score Row 4 - Bias: - Shows current directional lean: LONG, SHORT, or NEUTRAL - Color-coded: Green for long, red for short, gray for neutral Rows 5-7 (Full Mode Only) - Trade Levels: - Entry : Suggested entry price for current bias direction - Stop : Suggested stop-loss price - Target : Projected take-profit price Row 8 - Risk:Reward Ratio: - Format : "1:X.X" where X.X is the reward multiple - Color-coded : Green if 2:1 or better, amber if 1.5:1 to 2:1, red if below 1.5:1 Row 9 - Fuel: - Shows percentage and estimated bars remaining in parentheses - Example : "72% (8)" means 72% fuel with approximately 8 bars remaining - Color-coded : Green above 70%, amber 40-70%, red below 40% Row 10-11 (Full Mode Only) - Market Conditions: - Vol : Current volatility regime (HIGH/NORMAL/LOW) - Speed : Current velocity zone (FAST/NORMAL/SLOW) Row 12 - Session: - Shows active trading session - Color-coded by session type Row 13 (Full Mode Only) - Remaining: - Time remaining in current session (hours and minutes) Row 14 (Conditional) - Trap Warning: - Appears when a significant trap zone exists in your bias direction - Shows direction (ABOVE/BELOW) and confluence percentage ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ UNDERSTANDING THE QUICK PANEL (Bottom Left) The Quick Panel provides essential information at a glance without looking away from price action: Row 1: Current Bias and Quality Score (large text for quick reading) Row 2: Market State Row 3: Fuel Percentage Row 4: Estimated Bars Remaining Row 5: Risk:Reward Ratio Row 6: Current Session Both panels can be repositioned using the settings, and each can be toggled on/off independently. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SETTINGS EXPLAINED CORE SETTINGS: Analysis Lookback (Default: 20) Number of bars used for statistical calculations including average volume and average body size. Higher values create smoother but slower-reacting analysis. Lower values are more responsive but may include more noise. Swing Detection Length (Default: 5) Bars required on each side to confirm a swing high or low. A setting of 5 means a swing high must have 5 lower highs on each side. Lower values detect more swings (more trap zones, more sensitivity). Higher values find only major pivots (fewer but more significant zones). Impulse Sensitivity (Default: 1.5) Multiplier for ATR when detecting impulse moves. Lower values (like 1.0) detect smaller price movements as impulses, refreshing the fuel gauge more frequently. Higher values (like 2.5) require larger moves, making impulse detection less frequent but more significant. SIGNAL SETTINGS: Prime/Standard/Caution Thresholds (Defaults: 80/75/65) These control the quality score required for each signal tier. You can adjust these based on your preference: - More conservative : Raise thresholds (e.g., 85/80/70) for fewer but higher-quality signals - More aggressive : Lower thresholds (e.g., 75/70/60) for more signals with slightly lower quality Signal Cooldown (Default: 8 bars) Minimum bars between signals to prevent signal spam. After any signal fires, no new signals can appear until this many bars pass. Increase for fewer signals in choppy markets; decrease if you want faster signal refresh. Show Prime/Standard/Caution/Exhaustion Signals Toggle each signal type on or off based on your preference. ZONE DISPLAY: Show Trap Zones / Entry Zones / Target Zones / Stop Levels Toggle each zone type on or off. Turning off zones you don't use reduces chart clutter. Zone Transparency (Default: 88) Controls how transparent zone boxes appear. Higher values (closer to 95) make zones barely visible; lower values (closer to 75) make them more prominent. Zone History (Default: 25 bars) How far back zone boxes extend on the chart. Purely visual preference. BACKGROUND: Background Mode (Options: Off, Subtle, Normal) Controls whether and how intensely the chart background is colored. Subtle is barely noticeable; Normal is more visible; Off disables background coloring entirely. Background Type (Options: Bias, Fuel) - Bias : Colors background based on current directional lean (green for long, red for short) - Fuel : Colors background based on momentum level (green for high fuel, amber for moderate, red for low) DASHBOARD / QUICK PANEL: Show Dashboard / Show Quick Panel Toggle each panel on or off. Compact Mode When enabled, the main dashboard shows only essential rows (quality bars, bias, R:R, fuel, session) without entry/stop/target levels, volatility, velocity, or time remaining. Position Settings Choose where each panel appears on your chart from six options: Top Right, Top Left, Bottom Right, Bottom Left, Middle Right, Middle Left. ALERTS: Alert Prime Signals / Standard Signals / Fuel Exhaustion Enable or disable TradingView alerts for each condition. When enabled, you can set up alerts in TradingView that will notify you when these conditions occur. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ RECOMMENDED TIMEFRAMES AND USAGE OPTIMAL TIMEFRAMES: - 1-minute to 5-minute : Best for active scalping with quick entries and exits - 5-minute to 15-minute : Balanced scalping with slightly more confirmation - 15-minute to 1-hour : Short-term swing entries, fewer but more significant signals Zone visualizations only appear on intraday timeframes to prevent chart clutter on higher timeframes. BEST PRACTICES: 1. Trade primarily during LONDON, NEW YORK, or OVERLAP sessions. The indicator weights these sessions higher for good reason - liquidity and movement are typically better. 2. Prioritize PRIME signals. These represent the highest confluence and have proven most reliable. Use STANDARD signals as secondary opportunities. Treat CAUTION signals with extra scrutiny. 3. Respect the Fuel Gauge. Avoid entering new positions when fuel is below 40%. When the EXIT signal appears, seriously consider closing or reducing positions. 4. Pay attention to TRAP warnings. When the dashboard shows a trap zone in your bias direction, be cautious about holding through that level. 5. Verify R:R before entry. The dashboard shows the risk-to-reward ratio. Ensure it meets your minimum requirements (many traders require at least 1.5:1 or 2:1). 6. When state shows AVOID or EXIT, step back. These conditions typically produce poor results. 7. Combine with your own analysis. SPM is a decision-support tool, not a standalone system. Use it alongside your understanding of market structure, news events, and overall context. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ PRACTICAL EXAMPLE Scenario : You're watching a 5-minute chart during London session. A cyan diamond (Prime Long signal) appears below the bar. Before entering, you check the dashboard: - State shows "PRIME" - conditions are favorable - Fuel shows "72% (8)" - plenty of momentum remaining (approximately 8 bars) - R:R shows "1:2.3" - acceptable risk-to-reward ratio - Session shows "LONDON" - active session with good liquidity - No TRAP warning in dashboard - no immediate resistance cluster in your way - Entry zone visible on chart at a lower price level - Stop and Target zones clearly marked With this confluence of factors, you have context for a more informed decision. The signal indicates quality, the fuel suggests momentum remains, the R:R is favorable, and no immediate trap threatens your trade. However, you also notice the target zone sits just below where a trap zone would be if there were one. This is by design - SPM adjusts targets to avoid placing them inside reversal zones. This multi-factor confirmation delivered in a single glance is what SPM provides. Chart Example :This chart demonstrates how the Scalp Precision Matrix identifies key market transitions. After a strong bullish impulse (cyan PRIME signal at ~08:30), price reached a historical reversal cluster (TRAP ZONE at 92,300). The indicator detected momentum exhaustion (purple EXIT signal) as fuel dropped below 20%, warning traders to exit longs. Now showing a SHORT bias with entry/stop/target zones clearly marked. The 92% trap zone confluence indicates a strong cluster of previous swing highs where price historically reversed. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ DATA WINDOW VALUES For detailed analysis and strategy development, SPM exports the following values to TradingView's Data Window (visible when you hover over the chart with the indicator selected): - Long Quality Score (0-100) - Short Quality Score (0-100) - Fuel Gauge (0-100%) - Risk:Reward Ratio These values can be useful for understanding how the indicator behaves over time and for developing your own insights about when it works best for your trading style. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ NON-REPAINTING CONFIRMATION All signals in SPM are generated using CONFIRMED bar data only. The signal logic references the previous closed bar's values ( and in Pine Script terms). This means: - Signals appear at the OPEN of the new bar (after the previous bar closes) - Signals will NEVER disappear once they appear - Signals will NEVER change position on historical bars - What you see in backtesting is what you would have seen in real-time The dashboard and zones update in real-time to provide current market context, but the trading signals themselves are non-repainting. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ IMPORTANT DISCLAIMERS TERMINOLOGY CLARIFICATION: This indicator uses terms that might imply access to data it does not have. To be completely transparent: - "Trap Zones" are calculated from historical swing point clustering. They are NOT institutional liquidity pools, order blocks, smart money footprints, or any form of order flow data. The term "trap" is metaphorical, describing how price has historically reversed at these levels. - "Fuel Gauge" is a technical momentum proxy. It is NOT order flow, volume profile, depth of market, or bid/ask data. It estimates momentum remaining based entirely on standard OHLCV price and volume data. - "Quality Scores" are weighted combinations of the technical factors described above. A high score indicates multiple conditions align favorably according to the indicator's logic. It does NOT predict or guarantee trade success. - The percentages shown on trap zones are CONFLUENCE SCORES measuring cluster density and proximity. They are NOT probability predictions of reversal. TRADING RISK WARNING: Trading involves substantial risk of loss and is not suitable for all investors. This indicator is a technical analysis tool designed to assist with decision-making. It does not constitute financial advice, trading advice, or any other sort of advice. Past performance of any signal or pattern does not guarantee future results. Markets are inherently unpredictable. Always use proper risk management. Define your risk before entering any trade. Never risk more than you can afford to lose. Consider consulting with a licensed financial advisor before making trading decisions. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ORIGINALITY STATEMENT - NOT A MASHUP Scalp Precision Matrix is an original work that combines several analytical concepts into a purpose-built scalping framework. While individual components like ATR calculations, pivot detection, session timing, and trend alignment exist in various forms elsewhere, the specific implementation here represents original synthesis: - The Fuel Gauge decay model with its four-component weighted calculation - The Trap Zone cluster detection with confluence scoring - The multi-factor quality scoring system that integrates all layers - The trap-aware entry and target zone placement logic - The volatility regime adaptation across all components - The session weighting is integrated into the quality assessment The indicator does not simply overlay separate indicators on one chart. It creates interconnected layers where each component informs and adjusts the others. This integration is the core originality of SPM. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ For best results, combine SPM with your own market understanding and always practice proper risk management. -BullByte
Penunjuk Pine Script®
oleh BullByte
20