เริ่มกันเลย

อินดิเคเตอร์และกลยุทธ์

[CT] ORB SuiteThis indicator is an Opening Range first tool that also includes an Initial Balance framework, breakout detection, and a full target and alerting package. It is designed to define a clean Opening Range at the start of the regular trading session and then turn that range into an actionable breakout structure by plotting the key levels, projecting measured targets, and visually confirming the exact breakout candle on your chart. The Opening Range component can be configured as either the first bar of the session or a true time-based duration, such as 1, 2, 5, 10, 15, 30 minutes, or 1 hour, which lets you standardize the opening structure across different chart timeframes without needing to “count bars.” As price prints during the Opening Range window, the script continuously updates the OR high and OR low, then locks those levels once the window closes so you have a stable reference for the rest of the session. The OR area can be shaded for quick visual recognition, and an optional OR midpoint line and label can be displayed to help you judge whether price is accepting above the middle of the range or failing back through it. Once the Opening Range is formed, the script upgrades the workflow by adding breakout qualification rules that you can control. You can choose confirmation based on a body cross, a close cross, or a close above or below the range boundary, which is a meaningful improvement over simple “touch” logic because it helps reduce false signals and makes the breakout trigger more consistent with how you actually trade. When a breakout is confirmed, the indicator can highlight the breakout candle itself so there is no ambiguity about which bar triggered the signal. You can highlight the candle body, the chart background, or both, and you can select separate colors for long and short breakouts. This makes chart review and live decision-making cleaner because you can immediately see where the breakout truly occurred instead of guessing between several candles that probed the level. The next major upgrade is the breakout target system. After a long breakout, targets are calculated as true multiples of the Opening Range size, starting from the OR high and projecting upward by the selected multiples. After a short breakout, targets are calculated from the OR low and projected downward by the same multiple logic. By default, the script supports four take-profit targets, TP1 through TP4, with sensible preset multiples that step outward in a structured way, but you can customize each multiple to match your instrument and style. This target system is a practical enhancement because it provides objective, range-based profit-taking levels that align with common intraday expansion behavior rather than arbitrary fixed tick offsets. You also get full control over whether the target lines and labels appear only after a breakout triggers, which keeps the chart clean and prevents “pre-biasing,” or whether you want to see projected targets in both directions before the breakout occurs for planning and scenario mapping. In addition, the target hit detection is configurable so you can decide whether a target is considered “hit” by a simple high or low touch or only after a close crosses the target, which is important for traders who want stricter confirmation and cleaner backtesting logic. Beyond the OR and targets, the indicator includes a complete Initial Balance module as an additional layer of structure. The IB duration is selectable and independent, and the script can plot IB high, IB low, and an optional IB midpoint, with optional fill shading to make the balance area obvious. A key upgrade here is the ability to base the breakout targets on either the Opening Range or the Initial Balance. This means you can run a pure OR breakout playbook, a pure IB breakout playbook, or compare both structures on the same session without changing indicators. This flexibility matters because OR breakouts tend to be more sensitive and earlier, while IB-based levels often better reflect the session’s early balance and can produce more stable expansion targets. Another major improvement is the history and session management. The script can freeze all drawings at the end of the session so lines and fills do not incorrectly extend into the next day, and it can optionally keep a configurable amount of history, such as the last 20 sessions, so you can study how price reacts to prior OR and IB structures. You also have control over whether IB should be included in that stored history, which helps if you want a cleaner chart while still retaining the OR context. To support different chart themes and personal preferences, label styling is expanded with controls for label background colors, text colors, transparency, and horizontal offsets, so the levels remain readable without covering price action. Finally, the alerting system is upgraded into a full set of actionable events. The indicator can generate alerts for session open and session close, for the moment the Initial Balance forms, for the moment the Opening Range forms, for long and short breakouts, and for each target hit from TP1 through TP4. Alerts can be used in standard alertcondition form or as dynamic alert() calls that include price-filled messages, which is a practical enhancement for traders who want their phone or desktop notifications to contain the exact level values rather than generic labels. This script is a derivative work built on the original Initial Balance foundation authored by © czoa under the Mozilla Public License 2.0, with extensive additions and improvements by © ChaosTrader63 to expand it into a complete Opening Range and Initial Balance breakout suite. The core upgrades are the configurable time-based Opening Range, breakout candle highlighting, multi-target measured range projections through TP4 with optional pre-projection behavior, stricter breakout confirmation modes, target hit rules, richer history controls, stronger label customization, and a comprehensive alert system that turns the session structure into a usable trade planning and execution framework directly on TradingView.
อินดิเคเตอร์ Pine Script®
โดย ChaosTrader63
MACD RSI EMA AGGRESSIVE + ATR SLTP (ALL COIN)This indicator is designed for aggressive scalping and intraday trading, especially on crypto futures. It combines: - MACD crossover for momentum direction - RSI filter to avoid weak signals - EMA trend filter to follow market bias - Volume confirmation to reduce false signals - ATR-based SL/TP visualization for risk management The script provides clear BUY and SELL alerts that can be used across multiple symbols and timeframes. Best used on lower timeframes (1m–5m) with proper risk management.
อินดิเคเตอร์ Pine Script®
โดย allegraclift5
Adaptive Trend Checklist (EMA + Supertrend + ADX)Adaptive Trend Checklist is a market context and validation tool designed for discretionary traders who prioritize structure, risk control, and trade quality over aggressive signal chasing. The script combines EMA, Supertrend, and ADX, with optional multi-timeframe (HTF) confirmation, to provide a clear view of market conditions before entering a trade. This is not a signal-spamming indicator. It is a visual checklist that helps identify when to trade, when to reduce risk, and when to stay out of the market. 🔹 Key Features 🔁 Automatic timeframe adaptation Parameters (EMA, ATR, ADX, Supertrend) automatically adjust based on the current chart timeframe. 🧠 Trend & range filtering Uses ADX and price structure to filter out ranging and low-probability market conditions. ⏱️ Multi-timeframe market context (optional) Confirms directional bias using higher timeframes. 🧮 Risk classification Trades are classified as: NORMAL REDUCED NO TRADE 📋 Clear visual checklist Displays in real time: trading mode, trend status, ADX condition, market session, recommended risk level. 🎯 Integrated trade management Automatically plots: Entry Stop Loss Take Profits (TP1, TP2, TP3) Position size in dollars based on selected risk. 🚫 No repaint 🚫 No signal spam 🚫 No win-rate promises ⚠️ Important Notice This script is not intended for fully mechanical or automated trading. It is designed as a decision-support tool for traders who understand market structure, context, and risk management. Performance depends on: market conditions, timeframe, and trader discipline. 👤 Who Is This For? ✔️ Discretionary traders ✔️ Scalpers & intraday traders seeking better filters ✔️ Swing traders needing HTF context ❌ Not recommended for blind signal following 📎 Usage Recommendation Use it as a primary market filter, not as a standalone signal. Combine it with your own entry criteria.
อินดิเคเตอร์ Pine Script®
โดย djau
Global Sessions & Kill Zones [jpkxyz]Global Sessions & ICT Kill Zones Indicator Overview The Global Sessions & ICT Kill Zones indicator is a comprehensive trading tool designed to help traders identify and visualize the most critical time periods in the 24-hour forex and futures markets. This indicator combines traditional trading session analysis with Inner Circle Trader (ICT) Kill Zone methodology, providing traders with a complete picture of when institutional activity and liquidity are at their peak. Trading Theory & Foundation Session-Based Trading The forex market operates 24 hours a day across four major trading sessions: Sydney, Tokyo, London, and New York. Each session has distinct characteristics in terms of volatility, liquidity, and price behavior. Understanding these sessions is crucial because: Volatility Patterns: Each session exhibits unique volatility profiles based on which markets are open and which institutional players are active Liquidity Concentration: Major price movements tend to occur when multiple sessions overlap, as more market participants are active simultaneously Market Structure: Session highs and lows often act as key support and resistance levels that price respects throughout the trading day Time-Based Strategies: Many professional traders structure their strategies around specific sessions that align with their preferred instruments and trading style ICT Kill Zones The Inner Circle Trader (ICT) methodology emphasizes specific time windows called "Kill Zones" - periods when institutional algorithms and smart money are most active. These time windows represent optimal trading opportunities because: Institutional Activity: Banks, hedge funds, and large institutions execute their orders during these predictable time windows Algorithmic Trading: Many institutional algorithms are programmed to operate during these specific periods Liquidity Sweeps: Kill Zones often feature stop hunts and liquidity grabs before directional moves Higher Probability Setups: Price is more likely to respect technical levels and follow through on setups during these periods The four ICT Kill Zones are: Asian Kill Zone (00:00-03:00 UTC): Early Asian session institutional activity London Kill Zone (07:00-10:00 UTC): London open and European institutional entry New York Kill Zone (12:00-14:00 UTC): New York open and North American institutional entry London Close Kill Zone (15:00-17:00 UTC): European session close and position squaring What This Indicator Visualizes Trading Session Boxes The indicator draws high-to-low range boxes for each major trading session: Sydney Session (21:00-06:00 UTC): Captures the Australian and early Asian trading activity Tokyo Session (00:00-09:00 UTC): Represents the main Asian trading period London Session (08:00-17:00 UTC): Covers the European trading hours New York Session (13:00-22:00 UTC): Encompasses North American trading activity Each session box displays: The session's high and low price levels Customizable colored borders and fills Labels showing the exact high and low values Real-time updates as price moves within the active session Session Overlaps The indicator automatically identifies and highlights all session overlaps with distinct colored boxes: Sydney/Tokyo Overlap: Asian liquidity concentration Tokyo/London Overlap: Asian-European transition period London/New York Overlap: The most volatile period with maximum liquidity Sydney/New York Overlap: Late US session into early Asian session These overlaps are crucial because they represent periods of increased liquidity when multiple major markets are operating simultaneously, often leading to significant price movements and breakouts. ICT Kill Zones Kill Zones are displayed as vertical background highlights that span the entire chart height during their active periods: Visual clarity: Semi-transparent colored backgrounds that don't obstruct price action Label identification: Each Kill Zone is labeled at its start for easy recognition Overlay capability: Kill Zones overlay on top of session boxes, allowing you to see both simultaneously Independent control: Each Kill Zone can be toggled on/off individually How Traders Can Use This Indicator Entry Timing Wait for Kill Zones: Use Kill Zones as your primary trading windows to increase the probability of institutional support for your trades Session Boundaries: Look for breakouts or reversals at session open/close times when new participants enter the market Overlap Periods: Focus on high-conviction setups during session overlaps when liquidity is highest Support & Resistance Session Highs/Lows: Previous session highs and lows often act as key support/resistance levels Sweep Setups: Watch for price to sweep session highs/lows during Kill Zones, then reverse (liquidity grab) Range Trading: Trade within session ranges during low-volatility periods, breakout during overlaps Risk Management Volatility Awareness: Adjust position sizing based on which session is active (London/NY overlap = highest volatility) Stop Placement: Position stops outside of key session levels to avoid being caught in normal intraday ranges Time-Based Exits: Consider exiting or tightening stops as sessions close and liquidity decreases Strategy Development Session-Specific Strategies: Develop different approaches for different sessions based on your instrument's behavior Kill Zone Confirmation: Require setups to occur within Kill Zones for higher probability trades Backtesting Framework: Use historical session and Kill Zone data to backtest time-based strategies Full Customizability Session Customization Every aspect of each trading session can be customized: Toggle Visibility: Show/hide any session independently Time Adjustment: Modify start and end hours to match your broker's server time or personal preference Color Schemes: Customize box colors and border colors for each session Transparency: Adjust fill transparency to see price action clearly while maintaining visual reference Kill Zone Customization Complete control over ICT Kill Zone display: Individual Toggles: Enable or disable each Kill Zone independently based on your trading style Color Selection: Choose distinct colors for each Kill Zone (default: Green, Blue, Yellow, Red) Transparency Control: All Kill Zones use 70% transparency by default, fully customizable Label Display: Toggle Kill Zone labels on/off via the main label settings Visual Preferences Border Control: Toggle session box borders on/off for cleaner charts Label Size: Choose from tiny, small, normal, large, huge, or auto-sizing for all labels Label Colors: Customize label background and text colors to match your chart theme Box Transparency: Set individual transparency levels for each session and overlap Overlap Customization All four session overlaps have independent color controls: Sydney/Tokyo Overlap Tokyo/London Overlap London/New York Overlap Sydney/New York Overlap Technical Features Midnight Handling The indicator uses advanced hour-based detection that seamlessly handles sessions crossing midnight (like Sydney's 21:00-06:00 UTC timeframe) without breaking the visualization into separate boxes. Real-Time Updates Active Sessions: Boxes extend and update in real-time as price moves during active sessions High/Low Tracking: Session highs and lows are continuously updated until the session closes Kill Zone Detection: Background colors appear/disappear precisely at Kill Zone boundaries Clean Chart Integration Minimal Clutter: Only shows active and recently completed sessions Overlay Friendly: Works seamlessly with other indicators and doesn't obstruct price action Performance Optimized: Efficient code that doesn't slow down chart rendering Ideal For Forex Traders: Track the four major forex sessions and plan trades around overlaps Futures Traders: Identify when specific futures markets have peak activity ICT Students: Implement Inner Circle Trader concepts with visual Kill Zone references Session Traders: Build strategies around specific session characteristics Scalpers & Day Traders: Focus on high-liquidity periods for tighter spreads and better fills Swing Traders: Use session levels as key support/resistance for multi-day trades Best Practices Start Simple: Enable only the sessions and Kill Zones relevant to your instruments Color Code Strategically: Use colors that stand out on your chart theme but don't overwhelm Combine with Price Action: Use session levels and Kill Zones as context, not as standalone signals Match Your Timezone: Adjust session times if your broker uses non-UTC server time Focus on Overlaps: Pay special attention to London/New York overlap for highest-probability setups Journal Performance: Track which sessions and Kill Zones work best for your strategy Conclusion The Global Sessions & ICT Kill Zones indicator provides traders with institutional-grade time-based analysis in a highly customizable, visually clear format. By combining traditional session analysis with modern ICT Kill Zone theory, traders gain a comprehensive understanding of when markets are most likely to move and where key levels are established. Whether you're a scalper looking for the highest liquidity periods or a swing trader using session levels for support/resistance, this indicator adapts to your needs while keeping your charts clean and professional. Trade smarter by trading when the market is most active and predictable.
อินดิเคเตอร์ Pine Script®
โดย jpkxyz
SMART TRADER Institutional Trend Engine (ITE)SMART TRADER – Institutional Trend Engine (ITE) Created by Jonathan Mwendwa Ndunge, this indicator is designed for professional traders and institutions seeking a multi-timeframe trend confirmation system. It combines Donchian Channel-based trend analysis across higher, mid, and lower timeframes to provide a directional authority score, highlighting bullish and bearish execution zones. Built with price action and smart money concepts in mind, it helps traders identify high-probability trend-aligned opportunities while filtering out noise.
อินดิเคเตอร์ Pine Script®
โดย jonathanmwendwa2021
Trend Momentum v6Features - Trend EMAs: plots Fast EMA and Slow EMA to visualize direction and strength. - RSI Filter (optional): gates signals by RSI thresholds to reduce whipsaws. - Multi-Timeframe (MTF): computes EMAs/RSI on a selected timeframe via request.security. - Signals: triangle markers for Long/Short when fast EMA crosses slow EMA with optional RSI gating. - Bar Coloring: green for up-trend, red for down-trend, neutral otherwise. - Alerts: built-in alertcondition for Long Signal and Short Signal. Inputs - Signal timeframe: timeframe for EMAs/RSI; empty uses chart timeframe. - Fast/Slow EMA length: trend speed vs smoothness (21/50 default). - RSI length and thresholds: default RSI(14), thresholds at 50 for symmetry. - Confirm signals on bar close: requires bar close confirmation to avoid intrabar flips. - Show signal markers: enable/disable triangles. - Color bars by trend: enable/disable bar coloring. Signals - Long: Fast EMA crosses above Slow EMA, optionally with RSI >= bull threshold. - Short: Fast EMA crosses below Slow EMA, optionally with RSI <= bear threshold. - Trend coloring: independent of cross signals; reflects current EMA relation plus optional RSI gating. Tutorial - Add to chart: - Open TradingView → Pine Editor → paste the script → Save → Add to chart. - Configure: - Leave Signal timeframe empty for chart timeframe or choose higher TF (e.g., 1h while viewing 5m). - Start with Fast EMA=21, Slow EMA=50; adjust for your market’s volatility. - Keep RSI filter on with thresholds at 50 for balanced gating. - Enable “Confirm signals on bar close” for stable, non-repainting entries. - Interpret: - Long triangle appears after a bullish EMA cross that meets RSI criteria (if enabled). - Bars turn green when trendUp; red when trendDown; neutral when neither condition holds. - Alerts: - Add the indicator → Create Alert → Source: this indicator → Condition: Long Signal or Short Signal. - Configure frequency (Once per bar close recommended when confirm is enabled). - MTF guidance: - For intraday, set Signal timeframe to a higher TF (15m–1h) to align entries with dominant trend. - Using lookahead=barmerge.lookahead_off prevents future-data repainting; signals appear only when confirmed. Customization - Faster entries: lower Fast EMA (e.g., 13) or raise RSI bull threshold above 50 for stronger momentum. - Smoother trend: raise Slow EMA (e.g., 100) to reduce choppiness. - Stricter shorts: set RSI bear threshold below 50 (e.g., 45 or 40). - Intrabar signals: disable “Confirm signals on bar close” to see crosses mid-bar (more responsive, more noise). - Fixed indicator timeframe: if you want chart to render with gaps per fixed TF, set timeframe on indicator itself (e.g., timeframe="60") and optionally enable timeframe_gaps. Best Practices - Use with structure: apply on liquid instruments; combine with session/volatility filters if needed. - Risk management: consider ATR-based stops and position sizing; signals are entries, not guarantees. - Avoid overfitting: keep lengths and thresholds simple; validate across symbols and regimes. Limitations - Cross-based entries can lag at reversals and whipsaw in ranges; RSI gating helps but doesn’t eliminate noise. - MTF aggregation can delay signals compared to the chart’s timeframe; this is expected behavior.
อินดิเคเตอร์ Pine Script®
โดย lohanineeraj
ISM Manufacturing PMIDescription The ISM Manufacturing PMI (Purchasing Managers' Index) is a key economic indicator derived from monthly surveys of private sector companies. It provides insight into the health of the US manufacturing sector. Above 50.0: Indicates Expansion. Below 50.0: Indicates Contraction. This script visualizes the ISM Manufacturing PMI using TradingView's available economic data (ECONOMICS:USBCOI), providing traders and analysts with a clear view of macroeconomic trends directly on their charts. Key Features Intuitive Visualization: Dynamic Color Coding: The line turns Green during expansion (>50) and Red during contraction (<50). Baseline Fill: Optional shading between the data line and the 50.0 baseline emphasizes the current economic state. Histogram Mode: Toggle a histogram view to easily spot momentum shifts. Customizable Data Source: Defaults to ECONOMICS:USBCOI but can be configured to use other tickers (e.g., FRED:NAPM) if preferred. Smoothing: Built-in SMA, EMA, RMA, or WMA smoothing to filter out noise and see the longer-term trend. Alerts: Set alerts for significant crossovers (Expansion/Contraction start) or extreme levels. How to Use Add to Chart: Apply the indicator to any chart. It works best on higher timeframes but pulls monthly data automatically. Interpret the Trend: Look for the line crossing the 50.0 level. A cross above suggests the manufacturing sector is growing (Bullish for economy). A cross below suggests slowing down or contraction (Bearish for economy). Watch for extreme readings (above 60 or below 40) which often mark economic peaks or troughs. Adjust Settings: Style: Toggle the Line, Histogram, or Fill visibility in the settings. Smoothing: If the raw data is too jagged, increase the "Smoothing Length" to 3 or 6 months. Settings PMI Ticker: Default is ECONOMICS:USBCOI. Timeframe: Default is 1M (Monthly). Show Line / Histogram: Toggle visualization modes. Smoothing: Type and Length of the moving average applied to the data. Colors: Customize the colors for Expansion (Grow), Contraction (Fall), and Neutral. Indicator by: iCD_creator Version: 1.0 --- 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
Volume Profile Skew [BackQuant]Volume Profile Skew Overview Volume Profile Skew is a market-structure indicator that answers a specific question most volume profiles do not: “Is volume concentrating toward lower prices (accumulation) or higher prices (distribution) inside the current profile range?” A standard volume profile shows where volume traded, but it does not quantify the shape of that distribution in a single number. This script builds a volume profile over a rolling lookback window, extracts the key profile levels (POC, VAH, VAL, and a volume-weighted mean), then computes the skewness of the volume distribution across price bins. That skewness becomes an oscillator, smoothed into a regime signal and paired with visual profile plotting, key level lines, and historical POC tracking. This gives you two layers at once: A full profile and its important levels (where volume is). A skew metric (how volume is leaning within that range). What this indicator is based on The foundation comes from classical “volume at price” concepts used in Market Profile and Volume Profile analysis: POC (Point of Control): the price level with the highest traded volume. Value Area (VAH/VAL): the zone containing the bulk of activity, commonly 70% of total volume. Volume-weighted mean (VWMP in this script): the average price weighted by volume, a “center of mass” for traded activity. Where this indicator extends the idea is by treating the volume profile as a statistical distribution across price. Once you treat “volume by price bin” as a probability distribution (weights sum to 1), you can compute distribution moments: Mean: where the mass is centered. Standard deviation: how spread-out it is. Skewness: whether the distribution has a heavier tail toward higher or lower prices. This is not a gimmick. Skewness is a standard statistic in probability theory. Here it is applied to “volume concentration across price”, not to returns. Core concept: what “skew” means in a volume profile Imagine a profile range from Low to High, split into bins. Each bin has some volume. You can get these shapes: Balanced profile: volume is fairly symmetric around the mean, skew near 0. Bottom-heavy profile: more volume at lower prices, with a tail toward higher prices, skew tends to be positive. Top-heavy profile: more volume at higher prices, with a tail toward lower prices, skew tends to be negative. In this script: Positive skew is labeled as ACCUMULATION. Negative skew is labeled as DISTRIBUTION. Near-zero skew is NEUTRAL. Important: accumulation here does not mean “buying will immediately pump price.” It means the profile shape suggests more participation at lower prices inside the current lookback range. Distribution means participation is heavier at higher prices. How the volume profile is built 1) Define the analysis window The profile is computed on a rolling window: Lookback Period: number of bars included (capped by available history). Profile Resolution (bins): number of price bins used to discretize the high-low range. The script finds the highest high and lowest low in the lookback window to define the price range: rangeHigh = highest high in window rangeLow = lowest low in window binSize = (rangeHigh - rangeLow) / bins 2) Create bin midpoints Each bin gets a midpoint “price” used for calculations: price = rangeLow + binSize * (b + 0.5) These midpoints are what the mean, variance, and skewness are computed on. 3) Distribute each candle’s volume into bins This is a key implementation detail. Real volume profiles require tick-level data, but Pine does not provide that. So the script approximates volume-at-price using candle ranges: For each bar in the lookback: Determine which bins its low-to-high range touches. Split that candle’s total volume evenly across the touched bins. So if a candle spans 6 bins, each bin gets volume/6 from that bar. This is a practical, consistent approximation for “where trading could have occurred” inside the bar. This approach has tradeoffs: It does not know where within the candle the volume truly traded. It assumes uniform distribution across the candle range. It becomes more meaningful with larger samples (bigger lookback) and/or higher timeframes. But it is still useful because the purpose here is the shape of the distribution across the whole window, not exact microstructure. Key profile levels: POC, VAH, VAL, VWMP POC (Point of Control) POC is found by scanning bins and selecting the bin with maximum volume. The script stores: pocIndex: which bin has max volume poc price: midpoint price of that bin Value Area (VAH/VAL) using 70% volume The script builds the value area around the POC outward until it captures 70% of total volume: Start with the POC bin. Expand one bin at a time to the side with more volume. Stop when accumulated volume >= 70% of total profile volume. Then: VAL = rangeLow + binSize * lowerIdx VAH = rangeLow + binSize * (upperIdx + 1) This produces a classic “where most business happened” zone. VWMP (Volume-Weighted Mean Price) This is essentially the center of mass of the profile: VWMP = sum(price * volume ) / totalVolume It is similar in spirit to VWAP, but it is computed over the profile bins, not from bar-by-bar typical price. Skewness calculation: turning the profile into an oscillator This is the main feature. 1) Treat volumes as weights For each bin: weight = volume / totalVolume Now weights sum to 1. 2) Compute weighted mean Mean price: mean = sum(weight * price ) 3) Compute weighted variance and std deviation Variance: variance = sum(weight * (price - mean)^2) stdDev = sqrt(variance) 4) Compute weighted third central moment Third moment: m3 = sum(weight * (price - mean)^3) 5) Standardize to skewness Skewness: rawSkew = m3 / (stdDev^3) This standardization matters. Without it, the value would explode or shrink based on profile scale. Standardized skewness is dimensionless and comparable. Smoothing and regime rules Raw skewness can be jumpy because: profile bins change as rangeHigh/rangeLow shift, one high-volume candle can reshape the distribution, volume regimes change quickly in crypto. So the indicator applies EMA smoothing: smoothedSkew = EMA(rawSkew, smooth) Then it classifies regime using fixed thresholds: Bullish (ACCUMULATION): smoothedSkew > +0.25 Bearish (DISTRIBUTION): smoothedSkew < -0.25 Neutral: between those values Signals are generated on threshold cross events: Bull signal when smoothedSkew crosses above +0.25 Bear signal when smoothedSkew crosses below -0.25 This makes the skew act like a regime oscillator rather than a constantly flipping color. Volume Profile plotting modes The script draws the profile on the last bar, using boxes for each bin, anchored to the right with a configurable offset. The width of each profile bar is normalized by max bin volume: volRatio = binVol / maxVol barWidth = volRatio * width Three style modes exist: 1) Gradient Uses a “jet-like” gradient based on volRatio (blue → red). Higher-volume bins stand out naturally. Transparency increases as volume decreases, so low-volume bins fade. 2) Solid Uses the current regime color (bull/bear/neutral) for all bins, with transparency. This makes the profile read as “structure + regime.” 3) Skew Highlight Highlights bins that match the skew bias: If skew bullish, emphasize lower portion of profile. If skew bearish, emphasize higher portion of profile. Else, keep most bins neutral. This is a visual “where the skew is coming from” mode. Historical POC tracking and Naked POCs This script also treats POCs as meaningful levels over time, similar to how traders track old VA levels. What is a “naked POC”? A “naked POC” is a previously formed POC that has not been revisited (retested) by price since it was recorded. Many traders watch these as potential reaction zones because they represent prior “maximum traded interest” that the market has not re-engaged with. How this script records POCs It stores a new historical POC when: At least updatebars have passed since the last stored POC, and The POC has changed by at least pochangethres (%) from the last stored value. New stored POCs are flagged as naked by default. How naked becomes tested On each update, the script checks whether price has entered a small zone around a naked POC: zoneSize = POC * 0.002 (about 0.2%) If bar range overlaps that zone, mark it as tested (not naked). Display controls: Highlight Naked POCs: draws and labels untested POCs. Show Tested POCs: optionally draw tested ones in a muted color. To avoid clutter, the script limits stored POCs to the most recent 20 and avoids drawing ones too close to the current POC. On-chart key levels and what they mean When enabled, the script draws the current lookback profile levels on the price chart: POC (solid): the “most traded” price. VAH/VAL (dashed): boundaries of the 70% value area. VWMP (dotted): volume-weighted mean of the profile distribution. Interpretation framework (practical, not mystical): POC often behaves like a magnet in balanced conditions. VAH/VAL define the “accepted” area, breaks can signal auction continuation. VWMP is a fair-value reference, useful as a mean anchor when skew is neutralizing. Oscillator panel and histogram The skew oscillator is plotted in a separate pane: Line: smoothedSkew, colored by regime. Histogram: smoothedSkew as bars, colored by sign. Fill: subtle shading above/below 0 to reinforce bias. This makes it easy to read: Direction of bias (positive vs negative). Strength (distance from 0 and from thresholds). Transitions (crosses of ±0.25). Info table: what it summarizes On the last bar, a table prints key diagnostics: Current skew value (smoothed). Regime label (ACCUMULATION / DISTRIBUTION / NEUTRAL). Current POC, VAH, VAL, VWMP. Count of naked POCs still active. A simple “volume location” hint (lower/higher/balanced). This is designed for quick scanning without reading the entire profile. Alerts The indicator includes alerts for: Skew regime shifts (cross above +0.25, cross below -0.25). Price crossing above/below current POC. Approaching a naked POC (within 1% of any active naked POC). The “approaching naked POC” alert is useful as a heads-up that price is entering a historically important volume magnet/reaction zone. How to use it properly 1) Regime filter Use skew regime to decide what type of trades you should prioritize: ACCUMULATION (positive skew): market activity is heavier at lower prices, pullbacks into value or below VWMP often matter more. DISTRIBUTION (negative skew): activity is heavier at higher prices, rallies into value or above VWMP often matter more. NEUTRAL: mean-reversion and POC magnet behavior tends to dominate. This is not “buy when green.” It is context for what the auction is doing. 2) Level-based execution Combine skew with VA/POC levels: In neutral regimes, expect rotations around POC and inside VA. In strong skew regimes, watch for acceptance away from POC and reactions at VA edges. 3) Naked POCs as targets and reaction zones Naked POCs can act like unfinished business. Common workflows: As targets in rotations. As areas to reduce risk when price is approaching. As “if it breaks cleanly, trend continuation” markers when price returns with force. Parameter tuning guidance Lookback Controls how “local” the profile is. Shorter: reacts faster, more sensitive to recent moves. Longer: more stable, better for swing context. Bins Controls resolution of the profile. Higher bins: more detail, more computation, more sensitive profile shape. Lower bins: smoother, less detail, more stable skew. Smoothing Controls how noisy the skew oscillator is. Higher smoothing: fewer regime flips, slower response. Lower smoothing: more responsive, more false transitions. POC tracking settings Update interval and threshold decide how many historical POCs you store and how different they must be. If you set them too loose, you will spam levels. If too strict, you will miss meaningful shifts. Limitations and what not to assume This indicator uses candle-range volume distribution because Pine cannot see tick-level volume-at-price. That means: The profile is an approximation of where volume could have traded, not exact tape data. Skew is best treated as a structural bias, not a precise signal generator. Extreme single-bar events can distort the distribution briefly, smoothing helps but cannot remove reality. Summary Volume Profile Skew takes standard volume profile structure (POC, Value Area, volume-weighted mean) and adds a statistically grounded measure of profile shape using skewness. The result is a regime oscillator that quantifies whether volume concentration is leaning toward lower prices (accumulation) or higher prices (distribution), while also plotting the full profile, key levels, and historical naked POCs for actionable context.
อินดิเคเตอร์ Pine Script®
โดย BackQuant
2
Chris_LEGODescription Time-Anchored Volatility Grid is a precision analysis tool designed for traders who base their strategies on specific market events (e.g., London/New York Open, News Releases, or Daily Reset). Unlike standard grid indicators that use arbitrary fixed distances, this tool allows you to "Anchor" the calculation to a specific historical candle. It then captures the market volatility of that exact moment to generate dynamic, context-aware grid levels. 🚀 Key Features WYSIWYG Timezone Engine (What You See Is What You Get) Most Pine Script indicators struggle with timezone conversions. This version features a custom engine where you simply input the time you see on your chart (e.g., GMT+8). No more manual UTC conversions. Automated Volatility Capture Auto-Start Price: Automatically sets the grid origin based on the Low of your anchored candle. Auto-Gap Calculation: Dynamically calculates the grid spacing based on the High-Low range of the target candle. Bi-Directional Flexibility Toggle Long (upward) or Short (downward) grids independently. Perfect for hedging strategies or directional bias trading. Gap Multiplier Fine-tune the grid density by applying a multiplier (e.g., 0.5 for tighter grids, 2.0 for wider swings) to the captured volatility. Visual Debugging Includes an optional Anchor Line and detailed Data Labels to verify exactly which candle and price data are being used for your calculations. How to Use Set Your Anchor: In the settings, input the exact Year, Month, Day, and Time of the candle you want to reference (e.g., the 09:30 opening bell). Sync Timezone: Ensure the User Timezone field matches the timezone displayed at the bottom right of your TradingView chart (e.g., America/New_York for US Stocks or GMT+8 for Asia). Choose Logic: Enable "Use Auto Start Price" to snap the grid to the candle's Low. Enable "Use Auto Gap" to let the market's volatility define the grid size. Customize: Adjust the Line Count and Colors to fit your chart theme.
อินดิเคเตอร์ Pine Script®
โดย Chris_jing_we
Trend FollowingTrend Following is a visual trend-tracking indicator built on multiple exponential moving averages (EMAs) and market-context confirmation. The indicator combines: Slow EMA (50) to define the primary trend Fast EMA (20) for intermediate trend alignment Fastest EMA (9) for timing and sensitivity 200 SMA as a long-term structural reference The moving averages change color dynamically: Green when the MA is rising and price is above it (healthy trend) Red when the MA is falling and price is below it (downtrend) Yellow during transition phases, consolidation, or loss of momentum The chart background is also color-coded to highlight the market regime: Green → bullish bias (trend continuation) Red → bearish bias Black → conflict, correction, or consolidation zones (avoid aggressive entries) Additionally, the script includes: Logic for identifying low-wick candles, indicating directional strength Volume confirmation using a 21-period volume moving average 📌 Indicator purpose: To help traders stay aligned with the dominant trend, avoid low-probability environments, and improve timing on pullbacks and continuation moves. 📈 Best suited for: Trend following Swing trading Position trading Market context and trend confirmation before technical setups ⚠️ This indicator does not generate automated signals. It is designed as a context and confirmation tool and should be used alongside proper risk management and a well-defined trading strategy.
อินดิเคเตอร์ Pine Script®
โดย renatosaab
Momentum Average [SWT] Momentum Average (MMA) What is the Momentum Average? This is not your typical trend follower. MMA Pro is an algorithmic convergence tool designed for traders who seek to filter market noise and trade with the true momentum on their side. Its core engine allows you to fuse the "DNA" of up to three different moving averages into a single, high-precision "Master Line." 🛠️ Key Tool Benefits Data Convergence: By averaging up to three different MA types (EMA, SMA, WMA, VWMA, etc.), the indicator eliminates the erratic signals of individual averages, offering a smoothed curve that reacts primarily to institutional movements. Volatility Visualization (Cloud): Thanks to the "Trend Cloud" between the two primary averages, you can immediately visualize price expansion and contraction. Visual Confirmation (Pivot Dots): Identify the exact candle where the market slope shifts, ensuring you stay on the right side of the trend. ⚠️ Usage Philosophy: A Confirmation Tool, Not a Signal Generator It is vital to understand that MMA Pro is not a "blind signal" tool. It is not designed to be traded every time a dot appears. Its true power lies in serving as a high-quality filter and confirmation layer: Bias Validation: Use it to confirm the direction of your primary strategy. If your system gives a "Buy," the MMA Pro should ideally show bullish momentum. Entry Filtering: Avoid entries during "chop" or sideways markets when the "Master Line" is flat or pivot dots are frequently flipping. Exit Management: Many traders use it as a visual Trailing Stop; if the slope changes against your position, it may be time to protect profits. 💡 User Tips: Nasdaq 1m/5m: Try combining an EMA with a VWMA to capture intraday volume averaged with price action. Aesthetics: Customize the "Pivot Dots" colors to match your chart theme (Light/Dark).
อินดิเคเตอร์ Pine Script®
โดย ScalpWolfTrader
TSM: Time-Series Momentum & Volatility Targeting [Moskowitz]TSM: Institutional Time-Series Momentum & Volatility Targeting (Moskowitz) SUMMARY TSM is a trend and risk-sizing indicator designed to convert price movement into a risk-adjusted regime signal and a single Recommended Exposure output. It addresses a common trend problem: direction can be correct while sizing is wrong during volatility expansions. Recommended Exposure is a signed value where positive indicates bullish bias and negative indicates bearish bias. The magnitude reflects confidence after the volatility and quality filters are applied. The engine combines volatility-scaled time-series momentum across multiple horizons with optional volatility targeting and an optional efficiency filter to reduce noise sensitivity and improve sizing discipline. WHAT THIS INDICATOR GIVES YOU A risk-adjusted momentum signal that is scaled by realized volatility rather than raw returns, so high-volatility noise is less likely to look like strong trend. An optional volatility targeting layer that mechanically scales Recommended Exposure down when realized volatility rises and up when it falls, capped by Max Leverage. An ensemble approach using fast, medium, and slow horizons with configurable weights, reducing dependence on a single lookback and lowering curve-fitting risk. An optional R-squared efficiency filter that reduces exposure in choppy, low-quality trends, with a floor to avoid over-suppressing exposure. Optional workflow features including a dashboard, trend cloud bands, threshold-based signals with cooldown, and alerts. SCIENTIFIC FOUNDATION (PLAIN ENGLISH) Time-Series Momentum (Moskowitz, Ooi, Pedersen 2012) describes the empirical tendency for an asset’s own past returns to predict its future returns in expectation, distinct from cross-sectional momentum which compares assets to each other. Volatility clustering means markets alternate between calm and violent regimes; many traditional trend tools misread volatility shocks as sustainable trend. This indicator normalizes momentum by realized volatility to express trend significance relative to the regime. Volatility targeting (Harvey et al. 2018) scales exposure inversely to realized volatility to stabilize risk. When volatility rises, recommended exposure is reduced mechanically; when volatility falls, exposure can increase, subject to a max leverage cap. DATA AND SOURCES This indicator uses only the chart symbol’s OHLC data. No external feeds, no COT libraries, and no third-party data sources are required. It supports multi-timeframe calculation. You can compute the signal on the current chart timeframe, or use a fixed timeframe such as Daily to keep volatility math consistent when viewing intraday charts. HOW THE ENGINE WORKS (HIGH LEVEL) Step 1 estimates realized volatility from log returns over a chosen lookback. Step 2 computes a volatility-scaled momentum statistic for three horizons (fast, medium, slow) to measure how meaningful the move is relative to volatility. Step 3 clamps extreme values so outliers do not dominate. Step 4 combines the horizons into a weighted ensemble. Step 5 optionally applies an efficiency filter to reduce exposure in choppy trends. Step 6 optionally applies volatility targeting to scale exposure inversely with realized annualized volatility, capped by Max Leverage. The final output is Recommended Exposure as the combined result of direction, risk scaling, and quality filtering. OUTPUTS AND HOW USERS SHOULD APPLY THEM Recommended Exposure is the primary output. Positive values indicate bullish regime bias, negative values indicate bearish regime bias, and larger magnitude indicates higher risk-adjusted conviction after filters. Typical use is as a position-sizing overlay: keep your own entry method and use Recommended Exposure to decide how aggressive or defensive sizing should be in the current regime. Signals are optional and trigger when Recommended Exposure crosses user-defined thresholds. A cooldown reduces repeated triggers during consolidations, and direction can be restricted to long only, short only, or both. The dashboard is optional and displays realized volatility versus target, ensemble momentum, the efficiency metric, the volatility scalar, the quality multiplier, and final Recommended Exposure, including the fast/medium/slow breakdown. Trend cloud bands are optional and provide range context; they are not the signal and are intended as visual regime support. SETTINGS GUIDE (WHAT MATTERS MOST) Fixed Timeframe mode is recommended for consistent volatility math across chart timeframes; Current Chart mode is more sensitive to the displayed timeframe. Momentum horizons control responsiveness versus stability. Shorter lookbacks react faster but whipsaw more; longer lookbacks are smoother but slower. Weights allow emphasizing fast responsiveness or slow regime confirmation. Volatility targeting turns the tool into a sizing engine by scaling exposure inversely to realized volatility. Target annualized volatility sets the risk budget, and the annualization basis (365 vs 252) aligns conventions for crypto versus traditional markets. Max Leverage caps the scalar in very low-volatility regimes. The efficiency filter reduces exposure in choppy conditions; the floor controls how harshly exposure is reduced. Threshold and cooldown control how selective discrete signals are. LIMITATIONS (IMPORTANT FOR USERS) This is a trend-following framework, so it will lag turning points by design. Sideways markets can still cause whipsaws; cooldown and the efficiency filter may reduce but cannot eliminate this. Volatility targeting can reduce drawdowns during volatility expansions but may reduce participation during sharp V-shaped reversals after volatility increases. The efficiency metric is a practical proxy for trend straightness and can misclassify certain price paths. REFERENCES Moskowitz, T. J., Ooi, Y. H., and Pedersen, L. H. (2012). Time series momentum. Journal of Financial Economics, 104(2), 228-250. Harvey, C. R., Rattray, S., Sinclair, A., and Van Hemert, O. (2018). The impact of volatility targeting. Journal of Portfolio Management, 45(1), 14-33. Hurst, B., Ooi, Y. H., and Pedersen, L. H. (2017). A century of evidence on trend-following investing. Journal of Portfolio Management, 44(1), 15-29. DISCLAIMER Educational and informational purposes only. Not financial advice. Trading involves risk. Past performance is not indicative of future results.
อินดิเคเตอร์ Pine Script®
โดย Robinhodl21
Fixed Risk + Contracts 2.0This is the upgraded version of my Contracts/Risk indicator, released in January 2026. Users will trade responsibly (and never overleverage again!) 1. Pre-Select Your Ticker MES ES NQ MNQ MYM YM M2K MCL MGC GC SIL SI 2. Input Current Account Balance and Risk % Each Trade To Grow Your Account 3. Input Stop Amount In Ticks (Use Position Tool for ease) 4. Contract Risk Is Calculated Automatically! Add to your favourites and comment below if you have any suggestions :)
อินดิเคเตอร์ Pine Script®
โดย tradeina
OF CVD Divergence Labels (Lite) by TheActualSnailCVD Divergence (Order Flow Proxy) — Lite This indicator highlights price vs Cumulative Volume Delta (CVD) divergences directly on the price chart, using a lower-timeframe intrabar volume approximation and optional Open Interest (OI) confirmation. It is designed to catch potential exhaustion, absorption, and early trend shifts, without cluttering the chart with extra panes or lines. How it works 1️⃣ Intrabar Delta (Order Flow Proxy) Volume is decomposed on a lower timeframe (e.g. 30s, 1m). Each intrabar candle contributes volume to buying or selling pressure based on price movement. This produces a delta (buy − sell volume). Delta is accumulated into CVD, optionally reset on a higher timeframe (Daily / Weekly / Monthly). This is not exchange-level footprint data — it’s a robust proxy that works on any TradingView symbol. 2️⃣ Pivot-Based Divergences The script detects divergences using confirmed swing pivots: Bullish Regular Divergence Price makes a lower low CVD makes a higher low → Suggests selling pressure is weakening Bearish Regular Divergence Price makes a higher high CVD makes a lower high → Suggests buying pressure is weakening Optional hidden divergences (continuation-type) can also be enabled. All labels are plotted at the actual pivot bar, not repainting forward. 3️⃣ Open Interest filter (optional) When enabled: Labels are filtered by OI trend direction You can require: Rising OI (participation increasing) Falling OI (position unwinding) This helps reduce signals caused by low-liquidity noise or passive price movement. Settings used (shown in screenshots) These are the settings I personally use for cleaner, more precise pivot labels: Lower TF (intrabar): 30s Improves delta accuracy and reduces false divergences CVD reset: Daily Keeps CVD context relevant to the session Pivot length: 5 Good balance between signal frequency and reliability Use wicks for pivots: ✅ ON Captures true extremes where absorption often happens Min CVD diff filter: 0 No artificial filtering — rely on structure + confluence Show hidden divergences: ❌ OFF Focus on reversal-type signals Enable OI filter: ✅ ON Adds participation context OI trend length: 5 Short-term confirmation without lag Filter labels by OI: None View all signals first, then judge context manually How to use it (important) This indicator is not a standalone trading system. Best used together with: Market structure (HH / HL / LL / LH) Key levels (HTF levels, VWAP, range highs/lows) Liquidity concepts (sweeps, equal highs/lows) Volume behavior & session context Divergence ≠ immediate reversal. Think of it as a context tool, not an entry button. ⚠️ Disclaimer This indicator is provided for educational purposes only. It is not financial advice and should not be used on its own to make trading decisions. Always combine with other confluences and proper risk management.
อินดิเคเตอร์ Pine Script®
โดย TAS1TheActualSnail
ICT Bias ProICT Bias Pro: Dashboard + First Hour Range & Session FVGs This indicator is a comprehensive "Bias Builder" designed for traders who follow Inner Circle Trader (ICT) concepts. It combines a multi-timeframe trend dashboard with a specific intraday strategy derived from ICT's recent teaching: "How Do I Engage Markets When I Don't Have An Initial Bias?" The tool is designed to help traders find confluence between the Macro trend (Daily/4H) and the Micro execution (15M/5M) during the New York AM Session. Features & Methodology 1. Multi-Timeframe Bias Dashboard Located in the corner of your chart, this dashboard provides a quick "Traffic Light" view of the market structure across 4 key timeframes: Daily & 4-Hour: Establishes the macro direction. 15-Min & 5-Min: Monitors intraday order flow. Logic: Bias is determined by comparing price relative to the 20 EMA and checking for Market Structure alignment. Green = Bullish, Red = Bearish. 2. The "First Hour" Trading Range (No-Bias Strategy) Following ICT’s specific logic for days when bias is unclear, this tool automatically highlights the 9:30 AM – 10:30 AM (New York Time) trading range. Range High & Low: Defining the volatility of the opening hour. Equilibrium (50%): The "Line in the Sand." Price holding above the 50% signals bullish strength (Premium); price below signals bearish weakness (Discount). Quadrants (25% & 75%): Deep discount/premium zones for precision entries. 3. Session-Specific Fair Value Gaps (FVG) The indicator automatically detects and draws Fair Value Gaps that form only within that critical first hour of trading. Auto-Extension: Boxes extend to the right until price "mitigates" (fills) them. Consequent Encroachment (C.E.): Automatically plots the 50% dashed line inside every FVG, a key institutional support/resistance level. Smart Mitigation: Once a gap is filled, the box changes color (user-selectable) to indicate it is no longer an active magnet. How to Use This Indicator This tool is designed to identify Confluence: Check the Dashboard: Look for alignment on the Daily and 4H timeframes (e.g., Both Green). Wait for 10:30 AM EST: Allow the script to draw the First Hour Range. Trade the Confluence: Bullish Setup: If the Dashboard is Green, look for price to hold above the 50% Equilibrium of the First Hour Range. Look for entries inside Bullish FVGs that form near the 50% or 75% levels. Bearish Setup: If the Dashboard is Red, look for price to reject the 50% Equilibrium and stay in the lower half. Target Bearish FVGs near the 50% or 25% levels. Settings & Customization Dashboard Toggle: Show or hide the table to keep charts clean. Colors: Fully customizable colors for Range High/Low, FVGs (Bullish/Bearish), and Mitigated gaps. Text Positioning: Adjust FVG labels (Left/Center/Right) to prevent visual clutter on candles. Credits & Attribution Concept: Inner Circle Trader (Michael Huddleston). Core Strategy: Based on the video "How Do I Engage Markets When I Don't Have An Initial Bias?" Disclaimer: This tool is for educational purposes only. Past performance is not indicative of future results.
อินดิเคเตอร์ Pine Script®
โดย DivergentTrades
Bollinger Bands - ALMA EditionBollinger Bands with Crossing Markers - A Small Simple Indicator as a Small Lightweight Supplement. Green and red markers appear when the price breaks through the top and bottom of the bands, indicating weakening trend momentum and a possible correction or the beginning of a downtrend/uptrend. The BBand is excellent as the FIRST signal of weakening trends – it usually appears right after reaching extremes, i.e., after reaching the bottom or top of the local structure.
อินดิเคเตอร์ Pine Script®
โดย Zomzi