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อินดิเคเตอร์และกลยุทธ์

BHUVANA Fibonacci squeezed 50%–61.8% bandThis indicator is designed based on XAUUSD and in the 5 min time frame,When it looks like upstairs it is BUY trend (uptrend),Wjen it looks like downstairs the trend is sell (ie)Down trend) Swing mapping: Finds the active high/low over a user-defined lookback and computes Fib 50% and Fib 61.8%. Squeeze detection: Measures the distance between 50% and 61.8%. If the band width is ≤ (ATR × multiplier), the zone is flagged as a Squeeze. Breakout entries (on close): Long when price crosses up through 50% while squeezed. Short when price crosses down through 61.8% while squeezed. Risk framework: Auto-plots stop lines from the signal bar: Long SL = swing low; Short SL = swing high. Visuals: Fib lines (50/61.8) + optional yellow zone highlight during squeeze.
อินดิเคเตอร์ Pine Script®
โดย mankarnan
Smart Money Flow - Exchange & TVL Composite# Smart Money Flow - Exchange & TVL Composite Indicator ## Overview The **Smart Money Flow (SMF)** indicator combines two powerful on-chain metrics - **Exchange Flows** and **Total Value Locked (TVL)** - to create a composite index that tracks institutional and "smart money" movement in the cryptocurrency market. This indicator helps traders identify accumulation and distribution phases by analyzing where capital is flowing. ## What It Does This indicator normalizes and combines: - **Exchange Net Flow** (from IntoTheBlock): Tracks Bitcoin/Ethereum movement to and from exchanges - **Total Value Locked** (from DefiLlama): Measures capital locked in DeFi protocols The composite index is displayed on a 0-100 scale with clear zones for overbought/oversold conditions. ## Core Concept ### Exchange Flows - **Negative Flow (Outflows)** = Bullish Signal - Coins moving OFF exchanges → Long-term holding/accumulation - Indicates reduced selling pressure - **Positive Flow (Inflows)** = Bearish Signal - Coins moving TO exchanges → Preparation for selling - Indicates potential distribution phase ### Total Value Locked (TVL) - **Rising TVL** = Bullish Signal - Capital flowing into DeFi protocols - Increased ecosystem confidence - **Falling TVL** = Bearish Signal - Capital exiting DeFi protocols - Decreased ecosystem confidence ### Combined Signals **🟢 Strong Bullish (70-100):** - Exchange outflows + Rising TVL - Smart money accumulating and deploying capital **🔴 Strong Bearish (0-30):** - Exchange inflows + Falling TVL - Smart money preparing to sell and exiting positions **⚪ Neutral (40-60):** - Mixed or balanced flows ## Key Features ### ✅ Auto-Detection - Automatically detects chart symbol (BTC/ETH) - Uses appropriate exchange flow data for each asset ### ✅ Weighted Composite - Customizable weights for Exchange Flow and TVL components - Default: 50/50 balance ### ✅ Normalized Scale - 0-100 index scale - Configurable lookback period for normalization (default: 90 days) ### ✅ Signal Zones - **Overbought**: 70+ (Strong bullish pressure) - **Oversold**: 30- (Strong bearish pressure) - **Extreme**: 85+ / 15- (Very strong signals) ### ✅ Clean Interface - Minimal visual clutter by default - Only main index line and MA visible - Optional elements can be enabled: - Background color zones - Divergence signals - Trend change markers - Info table with detailed metrics ### ✅ Divergence Detection - Identifies when price diverges from smart money flows - Potential reversal warning signals ### ✅ Alerts - Extreme overbought/oversold conditions - Trend changes (crossing 50 line) - Bullish/bearish divergences ## How to Use ### 1. Trend Confirmation - Index above 50 = Bullish trend - Index below 50 = Bearish trend - Use with price action for confirmation ### 2. Reversal Signals - **Extreme readings** (>85 or <15) suggest potential reversal - Look for divergences between price and indicator ### 3. Accumulation/Distribution - **70+**: Accumulation phase - smart money buying/holding - **30-**: Distribution phase - smart money selling ### 4. DeFi Health - Monitor TVL component for DeFi ecosystem strength - Combine with exchange flows for complete picture ## Settings ### Data Sources - **Exchange Flow**: IntoTheBlock real-time data - **TVL**: DefiLlama aggregated DeFi TVL - **Manual Mode**: For testing or custom data ### Indicator Settings - **Smoothing Period (MA)**: Default 14 periods - **Normalization Lookback**: Default 90 days - **Exchange Flow Weight**: Adjustable 0-100% - **Overbought/Oversold Levels**: Customizable thresholds ### Visual Options - Show/Hide Moving Average - Show/Hide Zone Lines - Show/Hide Background Colors - Show/Hide Divergence Signals - Show/Hide Trend Markers - Show/Hide Info Table ## Data Requirements ⚠️ **Important Notes:** - Uses **daily data** from IntoTheBlock and DefiLlama - Works on any chart timeframe (data updates daily) - Auto-switches between BTC and ETH based on chart - All other crypto charts default to BTC exchange flow data ## Best Practices 1. **Use on Daily+ Timeframes** - On-chain data is daily, most effective on D/W/M charts 2. **Combine with Price Action** - Use as confirmation, not standalone signals 3. **Watch for Divergences** - Price making new highs while indicator falling = warning 4. **Monitor Extreme Zones** - Sustained readings >85 or <15 indicate strong conviction 5. **Context Matters** - Consider broader market conditions and fundamentals ## Calculation 1. **Exchange Net Flow** = Inflows - Outflows (inverted for index) 2. **TVL Rate of Change** = % change over smoothing period 3. **Normalize** both metrics to 0-100 scale 4. **Composite Index** = (ExchangeFlow × Weight) + (TVL × Weight) 5. **Smooth** with moving average ## Disclaimer This indicator uses on-chain data for analysis. While valuable, it should not be used as the sole basis for trading decisions. Always combine with other technical analysis tools, fundamental analysis, and proper risk management. On-chain data reflects blockchain activity but may lag price action. Use this indicator as part of a comprehensive trading strategy. --- ## Credits **Data Sources:** - IntoTheBlock: Exchange flow metrics - DefiLlama: Total Value Locked data **Indicator by:** @iCD_creator **Version:** 1.0 **Pine Script™ Version:** 6 --- ## Updates & Support For questions, suggestions, or bug reports, please comment below or message the author. **Like this indicator? Leave a 👍 and share your feedback!**
อินดิเคเตอร์ Pine Script®
โดย iCD_creator
LETHINH RSITitle: RSI + EMA9 + WMA45 Strength Flow Indicator Description: This indicator enhances the traditional RSI by combining it with two dynamic moving averages (EMA9 and WMA45) applied directly to the RSI line. The goal is to help traders visually identify momentum strength, trend confirmation, and potential reversal points with greater accuracy. How It Works: • RSI (14): Measures market momentum and identifies overbought/oversold conditions. • EMA9 on RSI: A fast-response signal line that tracks short-term shifts in buyer/seller strength. • WMA45 on RSI: A slower, smoother indication of long-term momentum flow and trend bias. Key Signals: 1. EMA9 crosses above WMA45: Momentum turning bullish → potential buy signal. 2. EMA9 crosses below WMA45: Momentum turning bearish → potential sell signal. 3. RSI above 50 + EMA9 above WMA45: Strong bullish environment. 4. RSI below 50 + EMA9 below WMA45: Strong bearish environment. 5. RSI approaching 70/30: Warning zones for exhaustion or potential reversals. Use Cases: • Spot momentum reversals earlier than RSI alone. • Confirm entries when price structure and momentum agree. • Filter out false breakouts during low-volatility or choppy conditions. • Strength-based scalping, swing trading, or trend following. Best Timeframes: Works on all timeframes, especially effective on M1–M15 for scalping and H1–H4 for swing trading.
อินดิเคเตอร์ Pine Script®
โดย LEDUCTHINH98
Filter Wave1. Indicator Name Filter Wave 2. One-line Introduction A visually enhanced trend strength indicator that uses linear regression scoring to render smoothed, color-shifting waves synced to price action. 3. General Overview Filter Wave+ is a trend analysis tool designed to provide an intuitive and visually dynamic representation of market momentum. It uses a pairwise comparison algorithm on linear regression values over a lookback period to determine whether price action is consistently moving upward or downward. The result is a trend score, which is normalized and translated into a color-coded wave that floats above or below the current price. The wave's opacity increases with trend strength, giving a visual cue for confidence in the trend. The wave itself is not a raw line—it goes through a three-stage smoothing process, producing a natural, flowing curve that is aesthetically aligned with price movement. This makes it ideal for traders who need a quick visual context before acting on signals from other tools. While Filter Wave+ does not generate buy/sell signals directly, its secure and efficient design allows it to serve as a high-confidence trend filter in any trading system. 4. Key Advantages 🌊 Smooth, Dynamic Wave Output 3-stage smoothed curves give clean, flowing visual feedback on market conditions. 🎨 Trend Strength Visualized by Color Intensity Stronger trends appear with more solid coloring, while weak/neutral trends fade visually. 🔍 Quantitative Trend Detection Linear regression ordering delivers precise, math-based trend scoring for confidence assessment. 📊 Price-Synced Floating Wave Wave is dynamically positioned based on ATR and price to align naturally with market structure. 🧩 Compatible with Any Strategy No conflicting signals—Filter Wave+ serves as a directional overlay that enhances clarity. 🔒 Secure Core Logic Core algorithm is lightweight and secure, with minimal code exposure and strong encapsulation. 📘 Indicator User Guide 📌 Basic Concept Filter Wave+ calculates trend direction and intensity using linear regression alignment over time. The resulting wave is rendered as a smoothed curve, colored based on trend direction (green for up, red for down, gray for neutral), and adjusted in transparency to reflect trend strength. This allows for fast trend interpretation without overwhelming the chart with signals. ⚙️ Settings Explained Lookback Period: Number of bars used for pairwise regression comparisons (higher = smoother detection) Range Tolerance (%): Threshold to qualify as an up/down trend (lower = more sensitive) Regression Source: The price input used in regression calculation (default: close) Linear Regression Length: The period used for the core regression line Bull/Bear Color: Customize the color for bullish and bearish waves 📈 Timing Example Wave color changes to green and becomes more visible (less transparent) Wave floats above price and aligns with an uptrend Use as trend confirmation when other signals are present 📉 Timing Example Wave shifts to red and darkens, floating below the price Regression direction down; price continues beneath the wave Acts as bearish confirmation for short trades or risk-off positioning 🧪 Recommended Use Cases Use as a trend confidence overlay on your existing strategies Especially useful in swing trading for detecting and confirming dominant market direction Combine with RSI, MACD, or price action for high-accuracy setups 🔒 Precautions This is not a signal generator—intended as a trend filter or directional guide May respond slightly slower in volatile reversals; pair with responsive indicators Wave position is influenced by ATR and price but does not represent exact entry/exit levels Parameter optimization is recommended based on asset class and timeframe
อินดิเคเตอร์ Pine Script®
โดย c9indicator
Ultimate Multi-Asset Correlation System by able eiei Ultimate Multi-Asset Correlation System - User Guide Overview This advanced TradingView indicator combines WaveTrend oscillator analysis with comprehensive multi-asset correlation tracking. It helps traders understand market relationships, identify regime changes, and spot high-probability trading opportunities across different asset classes. Key Features 1. WaveTrend Oscillator Main Signal Lines: WT1 (blue) and WT2 (red) plot momentum and its moving average Overbought/Oversold Zones: Default levels at +60/-60 Cross Signals: 🟢 Bullish: WT1 crosses above WT2 in oversold territory 🔴 Bearish: WT1 crosses below WT2 in overbought territory Higher Timeframe (HTF) Analysis: Shows WT1 from 4H, Daily, and Weekly timeframes for trend confirmation 2. Multi-Asset Correlation Tracking Monitors relationships between: Major Assets: Gold (XAUUSD), Dollar Index (DXY), US 10-Year Yield, S&P 500 Crypto Assets: Bitcoin, Ethereum, Solana, BNB Cross-Asset Analysis: Correlation between traditional markets and crypto 3. Market Regime Detection Automatically identifies market conditions: Risk-On: High correlation + positive sentiment (🟢 Green background) Risk-Off: High correlation + negative sentiment (🔴 Red background) Crypto-Risk-On: Strong crypto correlations (🟠 Orange background) Low-Correlation: Divergent market behavior (⚪ Gray background) Neutral: Mixed signals (🟡 Yellow background) How to Use Basic Setup Add to Chart: Apply the indicator to any chart (works on all timeframes) Choose Display Mode (Display Options): All: Shows everything (recommended for comprehensive analysis) WaveTrend Only: Focus on momentum signals Correlation Only: View market relationships Heatmap Only: Simplified correlation view Enable Asset Groups: ✅ Major Assets: Traditional markets (stocks, bonds, commodities) ✅ Crypto Assets: Digital currencies Mix and match based on your trading focus Reading the Charts WaveTrend Section (Bottom Panel) Above 0 = Bullish momentum Below 0 = Bearish momentum Above +60 = Overbought (potential reversal) Below -60 = Oversold (potential bounce) Lighter lines = Higher timeframe trends Correlation Histogram (Colored Bars) Blue bars: Major asset correlations Orange bars: Crypto correlations Purple bars: Cross-asset correlations Bar height: Correlation strength (-50 to +50 scale) Background Color Intensity reflects correlation strength Color shows market regime Dashboard Elements 🎯 Market Regime Analysis (Top Left) Current Regime: Overall market condition Average Correlation: Strength of relationships (0-1 scale) Risk Sentiment: -100% (risk-off) to +100% (risk-on) HTF Alignment: Multi-timeframe trend agreement Signal Quality: Confidence level for current signals 📊 Correlation Matrix (Top Right) Shows correlation values between asset pairs: 1.00: Perfect positive correlation 0.75+: Strong correlation (🟢 Green) 0.50+: Medium correlation (🟡 Yellow) 0.25+: Weak correlation (🟠 Orange) Below 0.25: Negative/no correlation (🔴 Red) 🔥 Correlation Heatmap (Bottom Right) Visual matrix showing: Gold vs. DXY, BTC, ETH DXY vs. BTC, ETH BTC vs. ETH Color-coded strength 📈 Performance Tracker (Bottom Left) Tracks individual asset momentum: WT1 Values: Current momentum reading Status: OB (overbought) / OS (oversold) / Normal Trading Strategies 1. High-Probability Trend Following ✅ Entry Conditions: WaveTrend bullish/bearish cross HTF Alignment matches signal direction Signal Quality > 70% Correlation supports direction 2. Regime Change Trading 🎯 Watch for regime shifts: Risk-Off → Risk-On = Consider long positions High correlation → Low correlation = Reduce position size Crypto-Risk-On = Focus on crypto longs 3. Divergence Trading 🔍 Look for: Strong correlation breakdown = Potential volatility Cross-asset correlation surge = Follow the leader Volume-price correlation extremes = Trend confirmation 4. Overbought/Oversold Reversals ⚡ Trade reversals when: WT crosses in extreme zones (-60/+60) HTF alignment shows opposite trend weakening Correlation confirms mean reversion setup Customization Tips Fine-Tuning Parameters WaveTrend Core: Channel Length (10): Lower = more sensitive, Higher = smoother Average Length (21): Adjust for your timeframe Correlation Settings: Length (50): Longer = more stable, Shorter = more responsive Smoothing (5): Reduce noise in correlation readings Market Regime: Risk-On Threshold (0.6): Lower = earlier regime signals High Correlation Threshold (0.75): Adjust sensitivity Custom Asset Selection Replace default symbols with your preferred markets: Major Assets: Any forex, indices, bonds Crypto: Any digital currencies Must use correct exchange prefix (e.g., BINANCE:BTCUSDT) Alert System Enable "Advanced Alerts" to receive notifications for: ✅ Market regime changes ✅ Correlation breakdowns/surges ✅ Strong signals with high correlation ✅ Extreme volume-price correlation ✅ Complete HTF alignment Correlation Interpretation Guide ValueMeaningTrading Implication+0.75 to +1.0Strong positiveAssets move together+0.5 to +0.75Moderate positiveGenerally aligned+0.25 to +0.5Weak positiveLoose relationship-0.25 to +0.25No correlationIndependent movements-0.5 to -0.25Weak negativeSlight inverse relationship-0.75 to -0.5Moderate negativeTend to move opposite-1.0 to -0.75Strong negativeStrongly inversely correlated Best Practices Use Multiple Timeframes: Check HTF alignment before trading Confirm with Correlation: Strong signals work best with supportive correlations Watch Regime Changes: Adjust strategy based on market conditions Volume Matters: Enable volume-price correlation for confirmation Quality Over Quantity: Trade only high-quality setups (>70% signal quality) Common Patterns to Watch 🔵 Risk-On Environment: Gold-BTC positive correlation DXY negative correlation with risk assets High crypto correlations 🔴 Risk-Off Environment: Flight to safety (Gold up, stocks down) DXY strength Correlation breakdowns 🟡 Transition Periods: Low correlation across assets Mixed HTF signals Use caution, reduce position sizes Technical Notes Calculation Period: Uses HLC3 (average of high, low, close) Correlation Window: Rolling correlation over specified length HTF Data: Accurately calculated using security() function Performance: Optimized for real-time calculation on all timeframes Support For optimal performance: Use on 15-minute to daily timeframes Enable only needed asset groups Adjust correlation length based on trading style Combine with your existing strategy for confirmation Enjoy comprehensive multi-asset analysis! 🚀
อินดิเคเตอร์ Pine Script®
โดย Able-terminal
2
Dynamic 15-Ticker Dashboard • Real-Time ▲▼ Arrows • 2025Dynamic 15-Ticker Dashboard • Real-Time ▲▼ Arrows • 2025 Edition Free • Fully Open Source • Stable and Mobile-Friendly The cleanest, most reliable multi-ticker dashboard you will ever add — zero collapsing, zero lag, works on mobile too. Features • SPY always pinned at the top • Add up to 14 of your own tickers (just type → instantly appears) • Live price + direction arrows (▲ ▼) with automatic green/red coloring • RSI(14) with momentum arrows • Volume auto-formatted (K / M / B) with change arrows • 15 rows 100% stable — no disappearing table bug • Alternating dark rows for easy reading • Real-time updates on any timeframe Perfect for day traders, swing traders, or anyone who wants a consolidated watchlist without switching charts constantly. How to use Add to chart Type your tickers in the settings (leave blank to hide) Done — enjoy the clean, organized watchlist Zero requests, zero repainting, zero drama. Made for traders, by traders ♥ Open source — feel free to modify, share, or improve. If you like it, leave a comment and hit the ♥ button. Enjoy the view!
อินดิเคเตอร์ Pine Script®
โดย GammaBulldog
Kernel Channel [BackQuant]Kernel Channel A non-parametric, kernel-weighted trend channel that adapts to local structure, smooths noise without lagging like moving averages, and highlights volatility compressions, expansions, and directional bias through a flexible choice of kernels, band types, and squeeze logic. What this is This indicator builds a full trend channel using kernel regression rather than classical averaging. Instead of a simple moving average or exponential weighting, the midline is computed as a kernel-weighted expectation of past values. This allows it to adapt to local shape, give more weight to nearby bars, and reduce distortion from outliers. You can think of it as a sliding local smoother where you define both the “window” of influence (Window Length) and the “locality strength” (Bandwidth). The result is a flexible midline with optional upper and lower bands derived from kernel-weighted ATR or kernel-weighted standard deviation, letting you visualize volatility in a structurally consistent way. Three plotting modes help demonstrate this difference: When the midline is shown alone, you get a smooth, adaptive baseline that behaves almost like a regression moving average, as shown in this view: When full channels are enabled, you see how standard deviation reacts to local structure with dynamically widening and tightening bands, a mode illustrated here: When ATR mode is chosen instead of StdDev, band width reflects breadth of movement rather than variance, creating a volatility-aware envelope like the example here: Why kernels Classical moving averages allocate fixed weights. Kernels let the user define weighting shape: Epanechnikov — emphasizes bars near the current bar, fades fast, stable and smooth. Triangular — linear decay, simple and responsive. Laplacian — exponential decay from the current point, sharper reactivity. Cosine — gentle periodic decay, balanced smoothness for trend filters. Using these in combination with a bandwidth parameter gives fine control over smoothness vs responsiveness. Smaller bandwidths give sharper local sensitivity, larger bandwidths give smoother curvature. How it works (core logic) The indicator computes three building blocks: 1) Kernel-weighted midline For every bar, a sliding window looks back Window Length bars. Each bar in this window receives a kernel weight depending on: its index distance from the present the chosen kernel shape the bandwidth parameter (locality) Weights form the denominator, weighted values form the numerator, and the resulting ratio is the kernel regression mean. This midline is the central trend. 2) Kernel-based width You choose one of two band types: Kernel ATR — ATR values are kernel-averaged, producing a smooth, volatility-based width that is not dependent on variance. Ideal for directional trend channels and regime separation. Kernel StdDev — local variance around the midline is computed through kernel weighting. This produces a true statistical envelope that narrows in quiet periods and widens in noisy areas. Width is scaled using Band Multiplier , controlling how far the envelope extends. 3) Upper and lower channels Provided midline and width exist, the channel edges are: Upper = midline + bandMult × width Lower = midline − bandMult × width These create smooth structures around price that adapt continuously. Plotting modes The indicator supports multiple visual styles depending on what you want to emphasize. When only the midline is displayed, you get a pure kernel trend: a smooth regression-like curve that reacts to local structure while filtering noise, demonstrated here: This provides a clean read on direction and slope. With full channels enabled, the behavior of the bands becomes visible. Standard deviation mode creates elastic boundaries that tighten during compressions and widen during turbulence, which you can see in the band-focused demonstration: This helps identify expansion events, volatility clusters, and breakouts. ATR mode shifts interpretation from statistical variance to raw movement amplitude. This makes channels less sensitive to outliers and more consistent across trend phases, as shown in this ATR variation example: This mode is particularly useful for breakout systems and bar-range regimes. Regime detection and bar coloring The slope of the midline defines directional bias: Up-slope → green Down-slope → red Flat → gray A secondary regime filter compares close to the channel: Trend Up Strong — close above upper band and midline rising. Trend Down Strong — close below lower band and midline falling. Trend Up Weak — close between midline and upper band with rising slope. Trend Down Weak — close between lower band and midline with falling slope. Compression mode — squeeze conditions. Bar coloring is optional and can be toggled for cleaner charts. Squeeze logic The indicator includes non-standard squeeze detection based on relative width , defined as: width / |midline| This gives a dimensionless measure of how “tight” or “loose” the channel is, normalized for trend level. A rolling window evaluates the percentile rank of current width relative to past behavior. If the width is in the lowest X% of its last N observations, the script flags a squeeze environment. This highlights compression regions that may precede breakouts or regime shifts. Deviation highlighting When using Kernel StdDev mode, you may enable deviation flags that highlight bars where price moves outside the channel: Above upper band → bullish momentum overextension Below lower band → bearish momentum overextension This is turned off in ATR mode because ATR widths do not represent distributional variance. Alerts included Kernel Channel Long — midline turns up. Kernel Channel Short — midline turns down. Price Crossed Midline — crossover or crossunder of the midline. Price Above Upper — early momentum expansion. Price Below Lower — downward volatility expansion. These help automate regime changes and breakout detection. How to use it Trend identification The midline acts as a bias filter. Rising midline means trend strength upward, falling midline means downward behavior. The channel width contextualizes confidence. Breakout anticipation Kernel StdDev compressions highlight areas where price is coiling. Breakouts often follow narrow relative width. ATR mode provides structural expansion cues that are smooth and robust. Mean reversion StdDev mode is suitable for fade setups. Moves to outer bands during low volatility often revert to the midline. Continuation logic If price breaks above the upper band while midline is rising, the indicator flags strong directional expansion. Same logic for breakdowns on the lower band. Volatility characterization Kernel ATR maps raw bar movements and is excellent for identifying regime shifts in markets where variance is unstable. Tuning guidance For smoother long-term trend tracking Larger window (150–300). Moderate bandwidth (1.0–2.0). Epanechnikov or Cosine kernel. ATR mode for stable envelopes. For swing trading / short-term structure Window length around 50–100. Bandwidth 0.6–1.2. Triangular for speed, Laplacian for sharper reactions. StdDev bands for precise volatility compression. For breakout systems Smaller bandwidth for sharp local detection. ATR mode for stable envelopes. Enable squeeze highlighting for identifying setups early. For mean-reversion systems Use StdDev bands. Moderate window length. Highlight deviations to locate overextended bars. Settings overview Kernel Settings Source Window Length Bandwidth Kernel Type (Epanechnikov, Triangular, Laplacian, Cosine) Channel Width Band Type (Kernel ATR or Kernel StdDev) Band Multiplier Visuals Show Bands Color Bars By Regime Highlight Squeeze Periods Highlight Deviation Lookback and Percentile settings Colors for uptrend, downtrend, squeeze, flat Trading applications Trend filtering — trade only in direction of the midline slope. Breakout confirmation — expansion outside the bands while slope agrees. Squeeze timing — compression periods often precede the next directional leg. Volatility-aware stops — ATR mode makes channel edges suitable for adaptive stop placement. Structural swing mapping — StdDev bands help locate midline pullbacks vs distributional extremes. Bias rotation — bar coloring highlights when regime shifts occur. Notes The Kernel Channel is not a signal generator by itself, but a structural map. It helps classify trend direction, volatility environment, distribution shape, and compression cycles. Combine it with your entry and exit framework, risk parameters, and higher-timeframe confirmation. It is designed to behave consistently across markets, to avoid the bluntness of classical averages, and to reveal subtle curvature in price that traditional channels miss. Adjust kernel type, bandwidth, and band source to match the noise profile of your instrument, then use squeeze logic and deviation highlighting to guide timing.
อินดิเคเตอร์ Pine Script®
โดย BackQuant
Bollinger Band with Clouds, MA, and Selectable Buy/Sell AlertsBollinger Bands + Clouds + Multi-TF Signals — All in One Open-Source Indicator This open-source indicator combines multiple technical tools into a single, flexible charting solution — giving traders clear context and the ability to customize or build upon the code. Perfect for intraday, swing, or longer-term analysis. What it includes: NMA (Normalized Moving Average): Adaptive, multi-length moving average for trend visualization. VWAP: Volume-weighted average price for intraday anchoring. Bollinger Bands: Customizable upper/lower bands with baseline and fill, providing dynamic volatility context. Hull Moving Average + Kalman Filter: Smoothed trend detection with optional buy/sell shapes on crossovers. Multi-Timeframe EMAs: Short, medium, and long-term EMAs from multiple timeframes, all in one view. RSI & ATR: Optional visibility to track momentum and volatility. Customizable Colors & Transparency: Every line, fill, and shape can be adjusted independently. Selectable Buy/Sell Alerts: Configurable shapes and TradingView alert conditions for strategy observation. Why you’ll love it: Fully open-source: inspect, modify, and adapt the code for your own analysis. Clean, informative visualizations that consolidate multiple indicators without cluttering your chart. Flexible for intraday, swing, or longer-term timeframes. Team Player Friendly: This script is intentionally published as open-source to support the TradingView community. All code is fully visible — no proprietary sections — so anyone can learn from, modify, and contribute to the indicator. Disclaimer: This indicator is for informational purposes only. It does not constitute financial, trading, or investment advice. Users should conduct their own analysis before making trading decisions.
อินดิเคเตอร์ Pine Script®
โดย GammaBulldog
Oracle Pivot Engine (OPE) — @darshaksscThe Oracle Pivot Engine (OPE) is a market-structure visualization tool that derives all its levels exclusively from historical price data — specifically, the previous day’s high, low, and mid-range. It does not provide signals, alerts, entries, exits, predictions, or trade recommendations. Instead, it creates a non-repainting reference framework that helps users observe how the current session interacts with the prior session’s completed price structure. All calculations are analytical, static, and based on fully closed candles. 🧠 How It Works (Core Logic Explained) OPE computes the following values from the completed prior daily candle: Prior-Day High Prior-Day Low Prior-Day Midpoint Displacement Range = High − Low This displacement range is used to generate symmetrical upward and downward reference zones. These levels do not update during the session. They refresh only once per day when a new daily candle closes. This ensures the indicator remains fully non-repainting and stable on every intraday chart. 📐 Reference Levels Generated Using the fixed prior-day displacement range, OPE plots: 1. BUY-Side Reference Map (Upward Bias) BUY Reference Entry BUY Reference Stop BUY T1 BUY T2 BUY T3 BUY T4 BUY T5 BUY T6 These are not trade signals — they are mathematical extensions above the prior-day midpoint for structural interpretation only. 2. SELL-Side Reference Map (Downward Bias) SELL Reference Entry SELL Reference Stop SELL T1 SELL T2 SELL T3 SELL T4 SELL T5 SELL T6 Again, these levels are not directives. They are mirrored displacement extensions below the prior-day midpoint. 📊 Pivot Zone & Bands The indicator includes optional visual layers derived from the same prior-day pivots: Pivot High–Low Zone Shading → shows the prior-day full range Pivot Midline → prior-day mid-price Outer Displacement Bands → extended contextual boundaries These are purely visual boundaries meant to improve market context. 🧾 Dashboard / HUD Explanation A compact on-chart HUD summarizes all values. It displays: Section | Information (All Historical) Prior-Day Pivots | High, Low, Mid, Range BUY Map | Entry, Stop, T1–T6 SELL Map | Entry, Stop, T1–T6 The HUD allows you to quickly review: Where the current price is relative to the previous day’s structure How far price is from each level Whether the session is operating inside or outside the prior-day displacement zones Everything shown is static, non-repainting , and for reference only . 📊 How to Analyze It ✔ 1. Contextual Awareness OPE helps users visually compare current intraday price to prior daily structure. You can observe whether price is: Inside yesterday’s high/low zone Above the prior-day displacement Below the prior-day displacement This offers a clearer understanding of daily context and volatility. ✔ 2. Structural Symmetry The BUY-side and SELL-side maps extend from the same pivot logic. This can help visualize: Expansion away from the prior-day midpoint Compression within the prior-day range Symmetrical displacement around key reference levels Again — these are observational insights , not signals. ✔ 3. Range Interaction As the session unfolds, users often study: How price reacts around prior-day midpoint Whether price is gravitating toward or away from the displacement levels How intraday swings behave within these historical boundaries This type of analysis is contextual , not predictive. ⚠️ Important Disclosures This script does NOT generate trading signals. It does NOT predict future price movement. It does NOT contain advice, instructions, recommendations, or strategies. All levels are derived exclusively from historical daily candle data . This is strictly an informational visualization tool meant to support chart analysis. Past price levels do not guarantee any future price behavior. 🛑 Disclaimer This indicator is provided solely for educational and informational purposes. It should not be interpreted as financial advice or a call to action of any kind. Users should apply independent judgment and discretion when analyzing markets.
อินดิเคเตอร์ Pine Script®
โดย darshakssc
纳斯达克涨2.5%以上//@version=5 indicator("纳斯达克大涨标记", shorttitle="NASDAQ+2.5%", overlay=true) // 纳斯达克综合指数的符号 // 如果您想使用 E-mini 纳斯达克 100 期货 (NQ!) 或其他相关工具，请更改此符号 symbolName = "NASDAQ:IXIC" // 目标涨幅百分比 targetPercentage = 2.5 // 获取纳斯达克指数的数据 // 使用 security() 函数获取不同品种的数据 nasdaq_close = request.security(symbolName, "D", close ) nasdaq_prev_close = request.security(symbolName, "D", close ) // 确保我们有足够的数据进行计算 isDataAvailable = not na(nasdaq_close) and not na(nasdaq_prev_close) // 计算当天的涨幅百分比 // (今日收盘价 - 昨日收盘价) / 昨日收盘价 * 100 changePercentage = isDataAvailable ? (nasdaq_close - nasdaq_prev_close) / nasdaq_prev_close * 100 : na // 检查条件：涨幅是否大于或等于目标百分比 isBigUpDay = changePercentage >= targetPercentage // 绘制粉红色的点 plotshape(isBigUpDay, title="大涨日", location=location.belowbar, // 绘制在 K 线的下方 color=color.rgb(255, 0, 255, 0), // 纯粉红色 style=shape.circle, size=size.small, text="") // 可以在图表底部显示涨幅百分比作为确认 plot(isBigUpDay ? changePercentage : na, title="当日涨幅%", color=color.rgb(255, 0, 255, 50), style=plot.style_stepline, trackprice=false) // 警报示例 (可选) // if isBigUpDay // alert("纳斯达克当日涨幅达到 " + str.tostring(targetPercentage) + "% 或以上!", alert.freq_once_per_bar_close)
อินดิเคเตอร์ Pine Script®
โดย xjincn
Market Position TableMarket Position Table Indicator Overview The Market Position Table is a comprehensive multi-timeframe indicator that provides traders with an instant visual snapshot of market position relative to key technical indicators. This tool displays a clean, color-coded table directly on your chart, showing whether price is above or below critical moving averages, the Ichimoku Cloud, and whether the market is in a TTM Squeeze compression. Key Features Visual Status Dashboard Real-time color coding: Green for bullish positioning (above), Red for bearish positioning (below/compressed) Clean table display: Organized, easy-to-read format that doesn't clutter your chart Customizable positioning: Place the table anywhere on your chart for optimal viewing Technical Indicators Monitored Four Moving Averages (20, 50, 100, 200 period) Shows whether price is above or below each MA Helps identify trend direction and strength Ichimoku Cloud Displays whether price is above, below, or inside the cloud Gray color indicates price is within the cloud (neutral zone) TTM Squeeze Indicator Shows when the market is in compression (Squeeze ON = Red) Alerts when the market is expanding (Squeeze OFF = Green) Helps identify potential breakout opportunities Flexible Customization Moving Average Options: Choose from 5 MA types: SMA, EMA, WMA, VWMA, HMA Adjust all four MA periods to your preference Default settings: 20, 50, 100, 200 periods Timeframe Control: Lock to Daily: View daily timeframe signals on any chart timeframe Custom Timeframe: Select any specific timeframe for calculations Chart Timeframe: Default behavior matches your current chart Ichimoku Settings: Customize Tenkan, Kijun, and Senkou B periods Default: 9, 26, 52 (traditional settings) Squeeze Settings: Adjust Bollinger Band length and multiplier Customize Keltner Channel length and multiplier Fine-tune sensitivity to match your trading style Visual Customization: Table position: 9 placement options on your chart Table size: Tiny, Small, Normal, or Large Optional: Toggle MA plot lines on/off Table Settings: Position and size Moving Average Settings: Type and periods Ichimoku Settings: Period adjustments Squeeze Settings: BB and KC parameters Timeframe Settings: Lock to daily or use custom timeframe Interpretation Moving Averages: Green (ABOVE): Price is above the MA - bullish signal Red (BELOW): Price is below the MA - bearish signal Multiple green MAs indicate strong uptrend Multiple red MAs indicate strong downtrend Ichimoku Cloud: Green (ABOVE): Price above cloud - bullish trend Red (BELOW): Price below cloud - bearish trend Gray (INSIDE): Price in cloud - consolidation/neutral Squeeze Indicator: Red (ON): Market is in compression - potential breakout setup Green (OFF): Market is expanding - trend continuation or reversal in progress Trading Applications Trend Confirmation: Use multiple green MAs + price above Ichimoku cloud to confirm strong uptrends Use multiple red MAs + price below Ichimoku cloud to confirm strong downtrends Breakout Trading: Watch for Squeeze ON (red) as compression builds When Squeeze turns OFF (green), look for directional breakout Confirm direction with MA alignment Multi-Timeframe Analysis: Lock to daily timeframe while trading intraday charts Ensure intraday trades align with daily trend direction Example: Only take long setups on 15-min chart when daily shows green MAs Support/Resistance: Major MAs (50, 100, 200) often act as dynamic support/resistance Watch for price reactions when testing these levels Best Practices Combine with Price Action: Use the table as confirmation alongside your chart analysis Multi-Timeframe Confluence: Check that multiple timeframes align for higher probability setups Don't Trade on Table Alone: Use this as one tool in your complete trading system Customize to Your Strategy: Adjust MA types and periods to match your trading style Monitor All Indicators: Look for alignment across all indicators for strongest signals Tips for Optimal Use Day Traders: Enable "Lock to Daily" to stay aligned with the daily trend while trading shorter timeframes Swing Traders: Use default chart timeframe on daily or weekly charts Trend Followers: Focus on MA alignment - all green or all red indicates strong trends Breakout Traders: Watch the Squeeze indicator closely for compression/expansion cycles Position Traders: Use longer MA periods (e.g., 50, 100, 150, 200) for smoother signals
อินดิเคเตอร์ Pine Script®
โดย BlouToro
Order Flow AnalysisOrder Flow Pressure Suite — Wick, Volume & Absorption-Based Pressure Map This indicator builds a composite buying/selling pressure score from candle structure, volume behavior, and absorption signals. It is designed to infer the “intent” behind price moves by looking at how candles form, where they close, and how volume behaves — even without access to true bid/ask or footprint data. Core Concepts Wick-to-Body Analysis The script evaluates the ratio of upper and lower wicks to the total candle range. Strong wicks with relatively small bodies are treated as rejections : Long upper wick → potential selling pressure / rejection of higher prices Long lower wick → potential buying pressure / rejection of lower prices Close Position Analysis The close is normalized within the candle range: Close near the high → bullish pressure Close near the low → bearish pressure Close near the middle → more neutral , context taken from wicks and volume Volume Delta Estimation Since true bid/ask data is not available on standard charts, the script estimates “volume delta” by distributing total volume between buyers and sellers based on candle characteristics: Bull candles receive more “buying volume,” weighted toward closes near the high Bear candles receive more “selling volume,” weighted toward closes near the low This is an approximation of order flow, not a direct time & sales feed. Absorption Detection The script looks for candles where volume is high but price movement is relatively small . This combination often suggests: Bullish absorption → buyers absorbing aggressive selling (potential accumulation) Bearish absorption → sellers absorbing aggressive buying (potential distribution) Absorption zones are tracked over a configurable lookback and can be shaded in the background. Composite Pressure Oscillator All the above components (wicks, close position, heuristic volume delta, absorption bias) are blended into a single pressure score : Values > 0 → net buying pressure Values < 0 → net selling pressure The raw score is smoothed with an EMA to reduce noise and create a cleaner oscillator line. Divergence Detection The indicator compares price pivots to pressure pivots: Bullish divergence : price makes a lower low while pressure makes a higher low Bearish divergence : price makes a higher high while pressure makes a lower high These conditions can help highlight potential exhaustion or hidden participation from larger players. Visual Elements Histogram showing the intensity of buying/selling pressure Color-coding for increasing vs. decreasing pressure Background shading for detected absorption zones Status table summarizing current pressure, trend bias, volume delta, wick signal, and absorption state in real time How To Use Use the pressure oscillator to gauge whether the current bar sequence is dominated by buyers or sellers. Strong positive readings may indicate sustained buying pressure; strong negatives may indicate sustained selling pressure. Watch for divergences between price and the pressure oscillator around key levels, swings, or zones you already care about. Use absorption zones and wick rejection signals as additional context around support/resistance, breakouts, or failed moves. Treat all signals as context and confluence , not as stand-alone trade entries or exits. This tool is best used alongside your existing price action, volume, and risk management framework. Important Notes & Limitations This script does not access real bid/ask, footprint, or order book data . All volume delta and absorption interpretations are heuristic estimates derived from OHLCV candles. Signals are probabilistic , not guarantees. They can be early, late, or outright wrong in fast or low-liquidity markets. Always validate signals with your own analysis, timeframe alignment, and risk management. This indicator is intended as an analytical tool , not financial advice.
อินดิเคเตอร์ Pine Script®
โดย kingthies
1
cc AJ TIME WITH TIME EXTENSIONcc AJ TIME WITH TIME EXTENSION – Flexible Session & Time-Based Highlighter (v6) A fully customizable Pine Script® indicator that lets you highlight specific times of day using three different calculation methods and draw extended background rectangles (session boxes) forward in time. Features: • Up to 6 independent time rules • Three selectable detection methods for each rule (you can combine them): – Direct minute match (e.g. when the current minute = your target) – Addition method (hour + minute = target value) – Subtraction method (minute − hour = target value) • Each rule can independently color candles (barcolor) and/or draw a price-level rectangle • Rectangles automatically extend right for a user-defined duration (hours + minutes) • Individual control over fill color, opacity, border color, and border thickness • Works on any timeframe and any symbol • Uses UTC+2 as reference timezone (common for many European/London-based sessions – change in code if needed) Perfect for marking custom session windows, recurring intraday time windows, or any personal time-based confluences you trade. No external data, no repainting, no hidden calculations – completely transparent and compliant with TradingView House Rules. Educational / personal use only • Not financial advice
อินดิเคเตอร์ Pine Script®
โดย THE_REF
Stochastic Average (2 TFs)“Stoch (2 TFs)” plots two separate Stochastic oscillators from two different timeframes in a single pane and adds an average line of all four values (%K and %D from each timeframe). It is designed to quickly compare short-term vs higher-timeframe momentum and see whether they are aligned or diverging. The script is an overlay-off oscillator, so it appears in its own window under the price chart. How it works The indicator calculates a classic Stochastic (%K and %D) on two user-selectable timeframes: tf1 (default 30 minutes) tf2 (default 60 minutes) For each timeframe it: Requests the high, low and close series from that timeframe using request.security. Computes %K as the smoothed position of the close within the lookback high/low range. Computes %D as a moving average of %K. So you get four lines in total: K1 and D1 from timeframe 1 K2 and D2 from timeframe 2 A small table in the top-right of the pane shows which timeframes are currently selected for TF1 and TF2, so you always know what you are looking at even if you change the chart timeframe. Inputs %K Length – lookback period used to find highest high and lowest low. %K Smoothing – smoothing length for the %K line. %D Smoothing – smoothing length for the %D line. 30 (tf1) – first Stochastic timeframe (default 30m). %K Color (1) / %D Color (1) – colors for K1 and D1. 60 (tf2) – second Stochastic timeframe (default 60m). %K Color (2) / %D Color (2) – colors for K2 and D2. Average Color – color for the current bar average line. Average Prev Color – color for the previous-bar average line. You can put this indicator on any chart timeframe; the internals always use the two selected timeframes via request.security. Visual elements The pane shows: Four Stochastic lines: K1 and D1 (for tf1), K2 and D2 (for tf2), using the input colors. Three horizontal reference levels: 80 (upper band), 50 (middle), 20 (lower band). A light blue background band between 80 and 20 to make the overbought/oversold zone easier to see visually. A 2-cell table in the top-right with the current values of tf1 and tf2. These elements make it easy to see when each timeframe is overbought, oversold, or in the middle zone, and whether the two timeframes are synchronized or showing divergence. Average and previous-average lines At the bottom of the script there is a simple composite measure: Sum KD adds K1 + D1 + K2 + D2 and divides by 4. Prev Sum KD does the same for the previous bar ( ). Both are plotted as separate lines: Sum KD – current bar average of all four Stochastic values (main composite). Prev Sum KD – previous bar average (for comparison). This makes it easy to see whether overall multi-timeframe Stochastic momentum is increasing or decreasing from bar to bar without having to visually average four separate curves. How to use Typical uses: See short- vs higher-timeframe Stochastic at a glance and trade only when they agree. Look for divergence between TF1 and TF2 (e.g., lower timeframe overbought while higher timeframe still neutral). Use the average lines (Sum KD and Prev Sum KD) as a simple “multi-TF momentum gauge” for confirmations or filters.
อินดิเคเตอร์ Pine Script®
โดย alejandroscotti
SMI 30m With Built-in Divergence AlertsStochastic Momentum Index SMI 30m is a simplified, single-timeframe Stochastic Momentum Index (SMI) designed for traders who want a clean momentum oscillator with clear crossover signals and automatic higher-timeframe filtering. This version is locked to a 30-minute timeframe, making it consistent across any chart you place it on. The script plots: SMI Blue Line – the main momentum line SMI Orange Line – the signal line (EMA-smoothed) Overbought / Oversold regions Optional colored background zones that highlight strong momentum extremes Both the Blue and Orange plots are fully exposed, allowing users to manually create TradingView alerts for crossovers. Additionally, the script includes two built-in alert conditions for traders who prefer automatic signals. How the SMI is calculated This script uses a double-EMA smoothing method to stabilize momentum: Highest and lowest price ranges are calculated over the selected %K period. Relative position of price inside that range is computed. A double EMA is applied to both the range and the midpoint offset. The SMI result is scaled to ±200 for clarity. The Signal Line is a single-EMA applied to the SMI. These parameters can be adjusted: %K Length %D Length EMA Length The default values match traditional 13-3-3 SMI settings. Visual Components 1. SMI Blue Line Represents the primary momentum movement. Values above 40 indicate positive momentum; values below −40 indicate negative momentum. 2. SMI Orange Line Acts as a smoothing signal line. Crossovers between Blue and Orange often indicate momentum shifts. 3. Overbought / Oversold Zones +40 = overbought boundary −40 = oversold boundary These levels help identify exhaustion points. 4. Gradient High/Low Zones The script includes colored fill zones above +40 and below −40 to visually highlight extreme momentum regions. Built-In Alerts The indicator includes two pre-configured alert conditions: 1. Bearish Cross (Overbought) Triggers when: The Blue SMI crosses below the Orange SMI AND the Blue SMI value is above 80 This represents a potential bearish divergence or momentum reversal from extreme highs. Alert title: SMI Bearish Cross 2. Bullish Cross (Oversold) Triggers when: The Blue SMI crosses above the Orange SMI AND the Blue SMI value is below −80 This represents a potential bullish divergence or reversal from extreme lows. Alert title: SMI Bullish Cross How to Use Alerts After adding the indicator to your chart: Open the Alerts panel Select Condition → SMI (1 TF) 30m Choose either: SMI Bearish Cross SMI Bullish Cross Set your preferred trigger method: Once per bar close Once per bar Once per minute Create the alert Traders can also manually create alerts for: Blue crossing above Orange Blue crossing below Orange Because both plots are fully exposed. Purpose This indicator is intended for traders who want a stable, single-timeframe SMI with: Clear structure Extreme-zone highlighting Exposed plots for custom alerts Built-in reversal alerts Consistent 30-minute TF regardless of chart It can be used for: Identifying trend reversals Detecting momentum exhaustion Confirming entries/exits Spotting early divergence signals
อินดิเคเตอร์ Pine Script®
โดย alejandroscotti
MAHI Indicator v9.5 - Smart Momentum HUD + IntradayMAHI Indicator v9.5 — Smart Momentum HUD (Multi-Framework + Intraday Engine) A Complete Momentum, Trend, and Setup Framework for Swing, Position & Intraday Traders MAHI v9.5 is the most advanced version yet — a highly optimized, visual, multi-framework trading system that blends momentum, trend alignment, adaptive setup detection, and now Auto-Intraday Mode for short-term traders. This indicator acts like a Heads-Up Display (HUD) on your chart: it shows trend strength, squeeze zones, dynamic support/resistance, EMAs, setup validation, and early reversal signals in one clean interface — without clutter. ✔ Core Features 📌 1. Smart Momentum Ribbon A dynamic EMA-based momentum band that visually shifts as trend strength changes. Helps identify strong vs. weak momentum zones Adapts to volatility & trend slope Works on all timeframes (1m to 1M) 📌 2. EMA 9 → 21 Flip System A precision trend-switching signal: EMA 9 → 21 BULL = early bullish momentum EMA 9 → 21 BEAR = early bearish momentum More reliable than stand-alone MA crossovers 📌 3. Bullish Setup Engine (Standard + Weak) Automatically identifies when price is entering a reversal-ready state based on: Position relative to the ribbon Candle structure Momentum compression Slope + exhaustion conditions Includes: Bull Setup (Standard) — Higher probability setup Bull Setup (Weak) — Early or less developed setup Setup Invalidated — Confirms that the pattern failed This prevents false confidence & keeps traders disciplined. 📌 4. Strong Buy / Strong Sell Signals Only appear when multiple confirmations align: Ribbon bias EMA slope Momentum compression Trend alignment Filtered to remove noise — especially in lower timeframes. 📌 5. Multi-Timeframe Trend HUD Top-right panel summarizing: Overall Trend (Bullish, Bearish, Neutral) RSI Condition Daily vs Weekly Alignment Trading Mode Suggestions (Buy / Sell / LEAPS / Neutral) This gives instant context. 📌 6. Auto Intraday Engine (NEW in v9.5) Automatically switches internal logic when you move into intraday timeframes (1m–30m): Intraday Enhancements: Adaptive setup detection Faster momentum sensitivity EMAs tuned for scalp/swing precision Tighter invalidation logic Reduced false positives Optional strict filtering Perfect for scalping, day trading & micro-trends Works instantly — no settings needed. Just change the chart timeframe and MAHI adjusts. 📌 7. Dynamic High-Timeframe Support (W & M) Auto-layers weekly & monthly levels: Helps identify strong bounce zones Extremely useful for swing & LEAPS traders 📌 8. Weekly Volume Shelf Projection Lightweight VWAP-style level based on weekly volume aggregation. Shows probable bottoming areas during pullbacks. ✔ Who This Indicator Is For Perfect for: Day traders Swing traders Momentum riders LEAPS & long-term investors Beginner traders needing a structured system MAHI adapts to your timeframe and trading style. ✔ Why MAHI Works MAHI isn’t a single-signal indicator — it’s a framework. It combines: Trend Momentum Volatility Setup pattern detection Validation & invalidation Multi-timeframe alignment Dynamic zones Intraday optimization This eliminates guesswork and helps traders avoid the emotional traps that cause most losses. You don’t just get a signal — you get context. ✔ How to Use It Follow the ribbon bias Use EMA 9→21 flips as trend confirmation Look for Bull Setup tags during pullbacks Avoid trades when you see Setup Invalidated Respect weekly/monthly HTF support levels On intraday charts — rely on auto-optimized mode For swing entries, combine setups with HTF trend HUD MAHI gives the map. You choose the path. ✔ Final Notes This version is heavily optimized for performance, clarity, and high-probability signals. MAHI does not repaint, and works on all assets including: Stocks Crypto ETFs Forex Futures
อินดิเคเตอร์ Pine Script®
โดย mahipalc
Abacus Community Williams %R + Bollinger %B📌 Indicator Description (Professional & Clear) Williams %R + Bollinger %B Momentum Indicator (ThinkOrSwim Style) This custom indicator combines Williams %R and Bollinger %B into a single, unified panel to provide a powerful momentum-and-positioning view of price action. Modeled after the ThinkOrSwim version used by professional traders, it displays: ✅ Williams %R (10-period) – Yellow Line This oscillator measures the market's position relative to recent highs and lows. It plots on a 0% to 100% scale, where: 80–100% → Overbought region 20–0% → Oversold region 50% → Momentum equilibrium Williams %R helps identify exhaustion, trend strength, and potential reversal zones. ✅ Bollinger %B (20, 2.0) – Turquoise Histogram Bars %B shows where price is trading relative to the Bollinger Bands: Above 50% → Price is in the upper half of the band (bullish pressure) Below 50% → Price is in the lower half (bearish pressure) Near 100% → Price pushing upper band (possible breakout) Near 0% → Price testing lower band (possible breakdown) The histogram visually represents momentum shifts in real time, creating a clean profile of volatility and strength. 🎯 Why This Combination Works Together, Williams %R and Bollinger %B reveal: Momentum direction Overbought/oversold conditions Volatility compression & expansion Trend continuation vs reversal zones High-probability inflection points Williams %R shows oscillation and exhaustion, while %B shows pressure inside volatility bands. The combination helps identify whether momentum supports the current trend or is weakening. 🔍 Use Cases Detect early trend reversals Validate breakouts and breakdowns Spot momentum failure in price extremes Confirm pullbacks and continuation setups Time entries and exits with higher precision 💡 Best For Swing traders Momentum traders Trend-followers Options traders (for timing premium decay or volatility expansion)
อินดิเคเตอร์ Pine Script®
โดย gadielvasquez1988