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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.
Chỉ báo Pine Script®
của BackQuant
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.
Chỉ báo Pine Script®
của darshakssc
3x ORB Alerts (JSON webhook, 3 ORBs)2× ORB Alerts (JSON Webhook, ORB4 + ORB5) is a clean, lightweight multi-session Opening Range Breakout (ORB) alert engine designed for automated trading systems using TradingView webhooks. This indicator provides up to 3 independent ORB windows, each with: Custom session time Custom cutoff time (HHMM or HH:MM) First-close breakout detection (Up or Down) Dedicated alert conditions Persistent ORB range + breakout price Full JSON webhook output for bots No boxes, no lines, no visual clutter (performance-optimized) ✔️ What this indicator does Tracks ORB high/low during the selected session Locks the range once the session ends Waits for a valid breakout (close > high or close < low) Triggers alerts only once per ORB per day Sends a clean JSON payload to your trading bot ✔️ Webhook JSON includes Symbol Timeframe ORB window number (1–3) Breakout direction Break price ORB range ATR (optional filtering) Close price Timestamp Custom API key ✔️ Why this script exists This indicator is built specifically for automated ORB trading bots, where reliability, clean signals, and low-latency alerts are critical. No repainting, no noise — just clear breakout confirmations for fully automated systems. ✔️ Use Cases Futures (GC, NQ, ES, CL, FDAX, etc.) Forex session breakout strategies Crypto ORB systems (BTC, ETH) Multi-session automated strategies Proprietary trading automation ✔️ How to use Set up 1,2,3 ORB sessions Add corresponding alert conditions Select "Once per bar close" Paste your webhook URL Your trading bot receives a JSON package on every breakout
Chỉ báo Pine Script®
của uhlirnorman
Absorption Meter — M15/M5/M3Absorption Meter — EMA200 + Wick + Absorption Combo Absorption Meter is a synthetic orderflow/absorption tool built only on OHLCV data. It plots two lines — Buy Absorption and Sell Absorption — plus optional EMA200-based reversion and trend-continuation signals. The idea is to highlight where aggressive buyers or sellers are likely being absorbed, not rewarded. The script uses a simple delta/CVD proxy (volume signed by candle direction), volume z-scores, candle structure (wicks vs body), VWAP proximity, and distance from EMA200. For each bar it builds two scores from 0–100: • Buy Absorption (green): high when selling pressure is strong (negative delta and CVD slope), volume is above normal, the candle is wicky/inefficient, price is near VWAP, and the bar looks like a stall or has a strong lower wick. This suggests shorts are hitting into bids and being absorbed. • Sell Absorption (red): high when buying pressure is strong (positive delta and CVD slope), volume is above normal, the candle is wicky, price is near VWAP, and the bar looks like a stall or has a strong upper wick. This suggests longs are hitting into offers and being absorbed. I use this mostly as contrarian context: high Buy Absorption near lows is a reason to stop chasing shorts and look for long/cover zones; high Sell Absorption near highs is a reason to stop chasing longs and look for short/profit zones. It is not a stand-alone “buy/sell” signal. On top of the lines, the script can draw arrows and fire alerts when several conditions align: • EMA200 mean reversion (price stretched from EMA200, recent big wick, strong absorption). • Optional base VWAP triggers (absorption near VWAP). • Optional strong distance-only reversions. • Optional trend-bias continuation (on the right side of EMA200 with supportive slope and absorption/wicks). Key settings (short overview): • Z-Score and Volume Z lookbacks: control how “unusual” delta, CVD and volume must be. • ATR Length: used for volatility, gates, and EMA distance. • Weights (Delta, CVD Slope, Volume Z, 1–Body Efficiency, VWAP Proximity): control how much each component contributes to the score. • Gates (Small Move, Wick Size, Soft Factor): control how strict the bar structure must be to count as absorption. • EMA200 / StdDev / distance thresholds: control when EMA reversion logic activates. • Big Wick filters (min wick vs ATR, wick percent, body percent, reclaim rules, min volume Z): define what a real “rejection wick” looks like. • Session filter and cooldown: restrict signals to your session and avoid arrow spam. This is a context tool: it shows where aggressive volume is running into resistance or support so you can make better decisions around chasing, fading, or taking profits.
Chỉ báo Pine Script®
của polishquant
2x ORB Alerts (JSON webhook, ORB4 + ORB5)2× ORB Alerts (JSON Webhook, ORB4 + ORB5) is a clean, lightweight multi-session Opening Range Breakout (ORB) alert engine designed for automated trading systems using TradingView webhooks. This indicator provides 2 independent ORB windows, each with: Custom session time Custom cutoff time (HHMM or HH:MM) First-close breakout detection (Up or Down) Dedicated alert conditions Persistent ORB range + breakout price Full JSON webhook output for bots No boxes, no lines, no visual clutter (performance-optimized) ✔️ What this indicator does Tracks ORB high/low during the selected session Locks the range once the session ends Waits for a valid breakout (close > high or close < low) Triggers alerts only once per ORB per day Sends a clean JSON payload to your trading bot ✔️ Webhook JSON includes Symbol Timeframe ORB window number (4&5) Breakout direction Break price ORB range ATR (optional filtering) Close price Timestamp Custom API key ✔️ Why this script exists This indicator is built specifically for automated ORB trading bots, where reliability, clean signals, and low-latency alerts are critical. No repainting, no noise — just clear breakout confirmations for fully automated systems. ✔️ Use Cases Futures (GC, NQ, ES, CL, FDAX, etc.) Forex session breakout strategies Crypto ORB systems (BTC, ETH) Multi-session automated strategies Proprietary trading automation ✔️ How to use Set up to 4&5 ORB sessions Add corresponding alert conditions Select "Once per bar close" Paste your webhook URL Your trading bot receives a JSON package on every breakout
Chỉ báo Pine Script®
của uhlirnorman
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)
Chỉ báo Pine Script®
của gadielvasquez1988
Opening Range Box, 2 SessionsOpening Range & Session Box Indicator This indicator automatically draws Opening Range (OR) boxes and Session Boxes based on specific time zone settings, helping you visualize key trading periods across different global markets. Key Features: Custom Sessions: Define two independent trading sessions (e.g., New York and London). Time Zone Selection: Choose the exact time zone for each session from a simple dropdown menu, ensuring accurate session mapping regardless of your chart's time zone. Opening Range Definition: The initial portion of each session (defined by the Opening Range Minutes input) establishes the high and low of the box. Offset Lines: Automatically draws two percentage offset lines inside the box, allowing you to easily track price movement relative to the Opening Range high and low (e.g., 10% retracement levels). How to Use the Inputs: Session A/B Timezone - Select the time zone for Session A (e.g., America/New_York). Session A/B Time - Define the start and end time for Session A (e.g., 0930-1600). Opening Range Minutes - Set how long the initial opening range period lasts (e.g., 30 minutes). Percent from High/Low for Line - Set the percentage distance for the inner offset lines (e.g., 10.0 for 10% retracement). Number of Boxes to Show - Controls the number of historical session boxes and lines that remain visible on the chart.
Chỉ báo Pine Script®
của AndSem
Orbital Barycenter Matrix @darshaksscThe Orbital Barycenter Matrix is a visual, informational-only tool that models how price behaves around a dynamically calculated barycenter —a type of moving equilibrium derived entirely from historical price data. Instead of focusing on signals, this indicator focuses on market structure symmetry, distance, compression, expansion, and volatility-adjusted movement. This script does not predict future price and does not provide buy/sell signals . All values and visuals come solely from confirmed historical data , in full compliance with TradingView policy. 📘 How the Indicator Works 1. Dynamic Barycenter (Core Mean Line) The barycenter is calculated from a smoothed blend of historical price components. It represents the center of mass around which price tends to oscillate. This is not a forecast line—only a representation of historical average behavior. 2. Orbital Rings (Distance Zones) Around the barycenter, the indicator draws several “orbital rings.” Each ring shows a volatility-scaled distance from the barycenter using ATR-based calculations. These rings help visualize: How far price has drifted from its historical center Whether price is moving in an inner, mid, or outer region How volatility influences the spacing of the rings Rings do not imply future targets and are informational only. 3. Orbital Extension Range Beyond the outermost ring, a wider band (extension range) shows a high-volatility reference distance. It represents extended displacement relative to past price behavior—not a projected target. 4. Orbit Trail (Motion Trace) The Orbit Trail plots small circles behind price, helping visualize how price has moved through the orbital regions over time. Colors adjust with “pressure” (distance from center), making compression and expansion easy to observe. 5. Satellite Nodes (Swing Markers) Confirmed swing highs and lows (using fixed pivots) are marked as small dots. Their color reflects the orbital zone they formed in, giving context to how significant or extended each pivot was. These swing markers do not repaint because they use confirmed pivots. 6. Pressure & Distance Calculations The indicator converts price displacement away from the barycenter into a pressure metric, scaled between 0%–100%. Higher pressure means price is further from its historical center relative to volatility. The dashboard displays: Zone classification ATR-based distance Pressure level A small intensity gauge All are informational readings—no direction or forecast. 📊 Key Features ✔ Dynamic barycenter core ✔ Up to four orbital rings ✔ Informational orbital extension band ✔ Visual orbit trail showing recent movement ✔ Non-repainting satellite swing nodes ✔ Distance & pressure analytics ✔ Fully adjustable HUD ✔ Always-visible floating dashboard (screen-anchored) ✔ Zero repainting on confirmed elements ✔ 100% sourced from historical data only ✔ Policy-safe: no predictions, no signals, no targets 🎯 What to Look For 1. How close price is to the barycenter This can reveal whether price is in: The inner region The mid zone The outer region The extended field 2. Pressure level Shows how “stretched” price is relative to its past behavior. 3. Satellite nodes Indicate where confirmed pivots formed and in which orbital band. 4. Ring interactions Observe how price moves between rings—inside, outside, or oscillating around them. 5. Color changes in the orbit trail These show changes in market compression/expansion. 🧭 How to Read the Indicator Inner Orbit Price close to its historical equilibrium. Mid Orbit Moderate displacement from typical range. Outer Orbit Historically extended movement. Beyond Extension Field Price has moved further than usual relative to historical volatility. These are descriptive conditions only , not trade recommendations. 🛠 How to Apply It on the Chart Use the barycenter to understand where price has historically balanced. Observe how volatility changes the spacing between rings. Use pressure readings to identify when price is compressed, neutral, or extended. Use swing nodes to contextualize historical pivot formation. Watch how price interacts with rings to better understand rhythm, velocity, and structural behavior. This tool is meant to enhance visual understanding—not to generate trade entries or exits. ⚠️ Important Disclosure This indicator is strictly informational. It does not predict or project future price movement. It does not provide buy/sell/long/short signals. All lines, zones, and values are derived solely from past market data. Any interpretation is at the user’s discretion.
Chỉ báo Pine Script®
của darshakssc
FBB Buy/Sell ProDisclaimer : This script is for educational purposes only and does not constitute financial advice. Use at your own risk. FBB Buy/Sell Pro is a volatility based reversal tool that builds a dynamic channel around a volume weighted moving average and highlights potential turning points at the extremes. The indicator paints a smooth "funnel" of bands around price and generates Buy/Sell labels when candles reject the outer zones, helping you spot exhaustion and mean reversion opportunities in trending or ranging markets. Signals are based on price interaction with the outer bands combined with candle direction, optionally filtered by RSI to reduce noise. When enabled, the built in TP/SL module projects an ATR based stop and target using a configurable risk to reward ratio and clearly draws entry, risk and reward zones directly on the chart. For tracking performance, FBB Pro includes an on chart statistics table that simulates trades using your own base capital, leverage and fee settings. It displays net profit, number of trades and win rate so you can quickly evaluate how the logic behaves on different symbols and timeframes. Key features Dynamic FBB volatility channel around VWMA with smooth gradient visualization Clear reversal Buy/Sell labels at outer band reactions with optional RSI filter Automatic TP/SL projection based on ATR and custom risk to reward Realistic stats module with leverage and fee simulation shown in a compact table Works on most markets and timeframes. It is recommended to combine FBB Buy/Sell Pro with your own higher timeframe context and risk management.
Chỉ báo Pine Script®
của CrossiDev
1
Simple Line📌 Understanding the Basic Concept The trend reverses only when the price moves up or down by a fixed filter size. It ignores normal volatility and noise, recognizing a trend change only when price moves beyond a specified threshold. Trend direction is visually intuitive through line colors (green: uptrend, red: downtrend). ⚙️ Explanation of Settings Auto Brick Size: Automatically determines the brick/filter size. Fixed Brick Size: Manually set the size (e.g., 15, 30, 50, 100, etc.). Volatility Length: The lookback period used for calculations (default: 14). 📈 Example of Identifying Buy Timing When the line changes from gray or red to green, it signals the start of an uptrend. This indicates that the price has moved upward by more than the required threshold. 📉 Example of Identifying Sell Timing When the line changes from green to red, it suggests a possible downtrend reversal. At this point, consider closing long positions or evaluating short entries. 🧪 Recommended Use Cases Use as a trend filter to enhance the accuracy of existing strategies. Can be used alone as a clean directional indicator without complex oscillators. Works synergistically with trend-following strategies, breakout strategies, and more. 🔒 Notes & Cautions More suitable for medium- to long-term trend trading than for fast scalping. If the brick size is too small, the indicator may react to noise. Sensitivity varies greatly depending on the selected brick size, so backtesting is essential to determine optimal values. ❗ The Trend Simple Line focuses solely on direction—remove the noise and focus purely on the trend. 초대 전용 스크립트 이 스크립트에 대한 접근이 제한되어 있습니다. 사용자는 즐겨찾기에 추가할 수 있지만 사용하려면 사용자의 권한이 필요합니다. 연락처 정보를 포함하여 액세스 요청에 대한 명확한 지침을 제공해 주세요. 이 비공개 초대 전용 스크립트는 스크립트 모더레이터의 검토를 거치지 않았으며, 하우스 룰 준수 여부는 확인되지 않았습니다. 트레이딩뷰는 스크립트의 작동 방식을 충분히 이해하고 작성자를 완전히 신뢰하지 않는 이상, 해당 스크립트에 비용을 지불하거나 사용하는 것을 권장하지 않습니다. 커뮤니티 스크립트에서 무료 오픈소스 대안을 찾아보실 수도 있습니다. 작성자 지시 사항 . c9indicator 면책사항 해당 정보와 게시물은 금융, 투자, 트레이딩 또는 기타 유형의 조언이나 권장 사항으로 간주되지 않으며, 트레이딩뷰에서 제공하거나 보증하는 것이 아닙니
Chỉ báo Pine Script®
của c9indicator
Filte Ichimoku1. Indicator Name Filte Ichimoku 2. One-line Introduction A smoothed and visually enhanced version of the Ichimoku Cloud that highlights trend direction and strength using adaptive color transparency. 3. General Overview Filte Ichimoku is a modernized take on the classic Ichimoku Kinko Hyo indicator, designed for traders who value clarity and minimalism while retaining core Ichimoku functionality. It calculates traditional components like Tenkan-sen, Kijun-sen, and the Senkou Span A/B, but focuses primarily on visualizing the Kumo (cloud) with enhanced styling. Instead of raw plots, Filte Ichimoku applies triple-step smoothing to both Senkou spans, creating a soft, wave-like appearance that reflects trend fluidity. The color of the cloud dynamically adapts based on whether Span A is above or below Span B (bullish/bearish), and its opacity changes according to the intensity of the trend, which is calculated relative to ATR-based volatility. By forward-shifting the plots and visually blending the cloud, the indicator helps traders quickly identify dominant trends, potential reversals, and consolidation zones. Its clean design makes it highly compatible with both traditional Ichimoku strategies and modern price action systems. 4. Key Advantages 🌥 Adaptive Ichimoku Cloud Cloud color and transparency dynamically change based on real trend strength and direction. 📊 Smoother, Cleaner Display Triple-smoothing on Senkou A and B creates a less noisy, more readable visual output. 📈 Forward Shift Preserved Maintains the traditional Ichimoku forward-shift logic, helping project future price zones. 🎨 Customizable Trend Colors Define your own bullish and bearish cloud colors for easy visual alignment with your strategy. 🚫 Noise Reduction via ATR Normalization Trend intensity is calculated relative to ATR, reducing false positives in low-volatility zones. 🔒 Lightweight & Secure Design Optimized script avoids exposure of sensitive logic while remaining fast and reliable in live charts. 📘 Indicator User Guide 📌 Basic Concept Filte Ichimoku emphasizes cloud dynamics (Kumo) to interpret market structure. Trend direction is derived from the relationship between Senkou Span A and B, while trend strength is measured by their distance relative to ATR. The smoother curves make it easier to read while preserving all Ichimoku logic. ⚙️ Settings Explained Tenkan Sen Length: Fast-moving average calculation period (default: 18) Kijun Sen Length: Medium trend baseline (default: 52) Senkou Span Length: Long-term cloud boundary (default: 104) Bull/Bear Color: Set custom colors for bullish or bearish cloud states 📈 Bullish Timing Example Senkou Span A > Span B, and the cloud appears green with high opacity Indicates strong uptrend support, especially when price is above both Tenkan and Kijun 📉 Bearish Timing Example Span B > Span A, cloud turns red and darkens Suggests bearish dominance; avoid long entries or prepare for short-side setups 🧪 Recommended Use Cases Use as a trend background layer for existing Ichimoku or price action systems Combine with breakouts, support/resistance, and momentum indicators Great for trend filtering in mid- to long-term strategies 🔒 Precautions Designed for clarity and filtering—not a standalone entry system In sideways markets, cloud may compress and color changes may become less meaningful Adjust smoothing lengths cautiously to avoid lagging during volatile swings Best results come from combining with price structure analysis
Chỉ báo Pine Script®
của c9indicator
Filter Bar1. Indicator Name Filter Bar 2. One-line Introduction A trend-aware bar coloring system that visualizes market direction and strength through adaptive transparency based on regression scoring. 3. General Overview Filter Bar+ is a minimalist but powerful trend visualization tool that colors chart bars according to market direction and momentum strength. It analyzes the linear regression trend alignment over a specified lookback period and uses a pairwise comparison algorithm to determine whether the market is in a bullish, bearish, or neutral state. The result is a "trend score" that gets normalized to reflect trend intensity (0~1). Bar colors are then dynamically updated using the specified bullish or bearish base colors, where higher intensity results in more opaque (darker) bars, and weaker trends lead to lighter, faded tones. If no strong trend is detected, bars are shown in gray, signaling indecision or neutrality. The strength of this indicator lies in its simplicity—it doesn’t draw lines, waves, or shapes, but overlays insight directly onto the chart through smart color cues. It’s particularly effective as a background filter for price action traders, scalpers, and anyone who prefers clean charts but still wants embedded directional context. 4. Key Advantages 🎨 Adaptive Bar Coloring Bar color opacity increases with trend strength, offering instant visual confirmation without clutter. 📊 Quantified Trend Direction Uses a regression-based scoring system to reliably detect uptrends, downtrends, or sideways markets. ⚖️ Customizable Sensitivity Parameters like lookback period and tolerance percentage give users full control over signal responsiveness. 🧼 Clean Chart Presentation No lines, shapes, or overlays—just color-coded bars that blend into your existing chart setup. 🚀 Lightweight & Fast Minimal computational load ensures it works smoothly even on lower-end devices or multiple chart setups. 🔒 Secure Internal Logic Algorithm is neatly encapsulated and optimized, with no critical logic exposed. 📘 Indicator User Guide 📌 Basic Concept Filter Bar+ evaluates trend direction and strength using a pairwise comparison of linear regression values. The result determines whether the market is bullish, bearish, or neutral, and adjusts bar colors accordingly. It visually amplifies the current market state without drawing any indicators on the chart. ⚙️ Settings Explained Lookback Period: Number of bars used to compare regression values Range Tolerance (%): Minimum score required to label a trend as bullish or bearish Regression Source: Data input used for regression (default: close) Linear Regression Length: Period for generating the base regression line Bull/Bear Base Colors: Choose colors to represent bullish or bearish bars 📈 Buy Timing Example Bars are green (or user-set bullish color) and becoming more vivid Indicates a strengthening bullish trend; helpful when used alongside breakout confirmation or support zones 📉 Sell Timing Example Bars turn red (or your custom bearish color) with increasing opacity Signals growing bearish pressure; acts as confirmation during short setups or breakdowns 🧪 Recommended Use Cases Combine with volume, RSI, or price action setups for direction filtering Ideal for clean chart strategies where visual simplicity is preferred Use as a confirmation layer to reduce noise in sideways markets 🔒 Precautions This is a visual filter, not a signal generator—use alongside other strategies for entries/exits In choppy markets, bars may flicker between colors—adjust sensitivity as needed Works best when you already have a directional thesis and want to validate it visually Always test settings for your asset/timeframe before applying in live trades
Chỉ báo Pine Script®
của c9indicator
Filter Ribbon1. Indicator Name Filter Ribbon 2. One-line Introduction A trend visualization ribbon that uses linear regression and directional scoring to highlight bullish and bearish strength with intuitive color gradients. 3. General Overview Filter Ribbon is a minimalistic yet powerful trend visualization tool that leverages linear regression slope ordering to determine directional momentum. It analyzes the ordering of regression values over a defined lookback period and quantifies how consistently the price has been trending upward or downward. Using a pairwise comparison system, it calculates a trend "score" and compares this to a configurable threshold to determine if a bullish, bearish, or neutral condition exists. The result is a color-coded ribbon that sits over the chart, changing hue and opacity based on both the direction and strength of the trend. The stronger the directional alignment, the more opaque the ribbon becomes, offering traders a fast, intuitive way to assess market sentiment at a glance. It also includes an optional linear regression line to further help visualize the central trend. This indicator is best used in trend-following systems or as a dynamic background layer when combined with signal-based strategies. Thanks to its efficient design and protected logic, Filter Ribbon offers high-performance visualization without compromising strategy integrity. 4. Key Advantages 🌈 Visual Trend Heatmap Dynamic color ribbon gives real-time visual feedback on both trend direction and strength. 🔢 Quantified Trend Scoring Calculates a mathematically sound trend score using pairwise linear regression comparisons. ⚖️ Adjustable Sensitivity Users can tune lookback and threshold parameters to fit different asset classes and timeframes. 📉 Smooth Ribbon Effect Plots upper/lower bands around regression line with smooth filling for a professional chart look. 🎯 Precise Trend Confirmation Acts as a confidence layer for other entry/exit signals by confirming broader trend bias. 🔒 Secure and Minimal Codebase Core logic is embedded securely with minimal exposure, reducing risk of replication or misuse. 📘 Indicator User Guide 📌 Basic Concept Filter Ribbon determines trend direction and intensity by comparing the order of linear regression values over time. It forms a ribbon on the chart that changes color based on trend direction and opacity based on trend strength. This makes it ideal for identifying clear trending periods vs. uncertain consolidations. ⚙️ Settings Explained Lookback Period: Number of bars for scoring the trend direction (higher = smoother trend) Range Tolerance (%): Determines how aggressive the trend classification is (lower = stricter) Regression Length: Period for calculating the base linear regression line Ribbon Colors: Customize colors for bullish and bearish conditions 📈 Bullish Timing Example Ribbon color is green and becomes increasingly opaque Regression line slopes upward and price remains above it Can be used as trend confirmation for long trades 📉 Bearish Timing Example Ribbon color is red with higher opacity Price consistently below the regression line Useful for confirming short trade setups or avoiding long entries 🧪 Recommended Use Cases Combine with breakout indicators to validate if the breakout aligns with broader trend Use in swing or trend-following strategies as a background filter Helps filter out trades during unclear, sideways market conditions 🔒 Precautions Not a signal generator on its own — meant for trend context only Ribbon may lag slightly during sudden trend reversals; best used with reactive entry tools Always test ribbon parameters on your specific market/timeframe before applying live Avoid using solely in low-volatility or flat markets — sensitivity may require tuning +++
Chỉ báo Pine Script®
của c9indicator
5
Filter Cross1. Indicator Name Filter Cross Indicator 2. One-line Introduction A multi-filtered crossover strategy that enhances classic moving average signals with trend, volatility, volume, and momentum confirmation. 3. General Overview The Filter Cross indicator builds upon the traditional golden/dead cross concept by incorporating additional market filters to evaluate the quality of each signal. It uses two key moving averages (50-period and 200-period SMA) to identify crossovers, while adding four advanced metrics: Linear regression trend ordering, ATR-based volatility positioning, Volume pressure, Price positioning relative to fast MA. These components are individually scored and averaged to calculate a Confidence %, which is displayed on the chart alongside each crossover signal. Visual cues such as dynamic color changes reflect the current trend direction and strength, making it intuitive for both novice and experienced traders. The indicator is especially effective in swing trading and trend-following strategies, where false signals can be filtered out through the additional logic. Security measures are applied to ensure that the core logic remains protected, making it safe for proprietary use. 4. Key Advantages ✅ Multi-factor Signal Validation Evaluates each signal using four key market filters to improve reliability over classic crossovers. 📉 Confidence Score Display Each signal is accompanied by a Confidence % label to help traders assess entry/exit quality. 🎨 Dynamic Color Feedback Automatically adjusts chart color based on trend intensity and direction, aiding visual clarity. 🔍 Linear Regression Trend Logic Uses pairwise comparison of regression data to quantify trend alignment across lookback periods. 📈 Reduced False Signals Minimizes noise and weak signals during sideways markets using adaptive thresholds. 📘 Indicator User Guide 📌 Basic Concept Filter Cross enhances moving average crossover signals using four additional market-based filters. These include trend alignment, volatility range, volume strength, and price momentum. Final signals are graded with a Confidence % score, showing how favorable the conditions are for action. ⚙️ Settings Explained Fast MA Length: Short-term moving average period (default: 50) Slow MA Length: Long-term moving average period (default: 200) Linear Regression Length: Period used to assess price trend alignment Trend Lookback / Threshold: Sensitivity controls for trend scoring Volume Lookback / ATR Length: Defines volatility and volume filters Bull/Bear Color: Customize visual colors for bullish and bearish signals 📈 Buy Timing Example Golden Cross occurs (50 MA crosses above 200 MA) Confidence % is above 70% Trend color turns green, volume is rising, price above fast MA → Strong entry signal 📉 Sell Timing Example Dead Cross occurs (50 MA crosses below 200 MA) Confidence % above 60% indicates a reliable bearish setup Regression trend down, color turns red → Valid exit or short opportunity 🧪 Recommended Use Cases Combine with RSI or MACD for timing confirmation in swing trades Use Confidence % to filter out weak crossover signals during sideways trends Effective in medium-to-long term trading with volatile assets 🔒 Precautions Confidence % reflects current conditions—not future prediction—use with discretion May produce delayed signals in ranging markets; test before real application Best results achieved when combined with other indicators or price action context Always optimize parameters based on the specific market or asset being traded +++
Chỉ báo Pine Script®
của c9indicator
Astra EdgeAstra Edge Tool Astra Edge is built from the ground up, through years of real market experience, observation, and execution — not theory. It reflects how I personally analyze price structure, volatility, and directional bias in live markets. The indicator combines multiple layers of technical logic — multi-timeframe trend context, fixed daily structure levels, volatility bands, and range compression detection — into one stable, easy-to-read system. It does not predict or guarantee direction; it reads what the market is doing right now and presents it visually in a structured way. Every element of Astra Edge — the dashboard, zones, and compression highlights — is designed to help traders interpret market behavior, not chase it. It aims to bring clarity and control to your intraday or swing decision-making by helping you focus on structure, momentum, and context instead of noise. It’s not a shortcut or a holy grail. It’s a refined tool that mirrors how experienced traders actually think — visually, contextually, and systematically. ⚙️ Features 🟢 Multi–Timeframe Dashboard A clean grid showing five user-selected symbols across three timeframes — giving instant trend alignment and strength visibility. LTP, % change, and SMA direction are colour-coded for quick interpretation. 🔵 Fixed Market Structure Levels Automatic plotting of previous day and today’s high, low, open, and close — the four most powerful reference points for intraday structure and reaction levels. No repainting, no recalculation — just static, reliable structure. 🟣 Zone Bands Calculates zones from the prior candles Weekly or custom timeframe zones Zones are highlighted dynamically and labeled clearly, helping you identify balance, breakout, and reversal regions visually. 🟠 Sideways Zone Detector Built-in compression detector that identifies when the market is stuck in range. Highlights consolidation zones and labels them with optional Zig Zag markers, helping traders avoid choppy conditions or plan breakout traps early. 🟡 Optional Bollinger Framework Toggleable Bollinger structure that adds volatility context to the chart, helping spot expansions, squeezes, or range resets quickly. ⚙️ Customization Dashboard and Sideways Zone ON/OFF switches Adjustable zone thickness, label names, and colours Works across stocks, indices, forex, and crypto Optimized for dark and light chart themes 🧠 How to Use Best for intraday and positional structure analysis Works on any timeframe — but ideal visualization on 1m to 1h charts Ideal timeframe 5mins Focus on zone reactions and structure shifts, not standalone signals Combine with your own entry confirmation or volume logic Remember — Astra Edge shows structure, it doesn’t decide trades. 💎 Philosophy “Every trader has tools. The elite have Astra Edge.” Astra Edge was built for traders who prefer clarity over clutter and discipline over guesswork. It combines multiple technical frameworks — not to replace your strategy, but to enhance your judgment. ⚠️ Disclaimer I am not a SEBI-registered advisor. This indicator is created purely for educational and informational purposes. It does not guarantee profits, nor should it be considered investment advice or a trading signal system. Trading and investing involve risk — use at your own discretion and consult a SEBI-registered financial advisor before making any financial decisions. Astra Edge follows price action — price action does not follow Astra Edge. Sometimes it will align perfectly with the trend, other times it won’t. This is not a Holy Grail, it’s a structured lens to view the market more intelligently. 💼 Access “Access available to invite-only users.” All existing users will receive lifetime updates and improvements without any additional charges.
Chỉ báo Pine Script®
của Ganesh_Gujarathi