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Indicators and strategies

Recursive Least Squares Forecast [LuxAlgo]The Recursive Least Squares Forecast indicator uses an adaptive linear regression algorithm to estimate price trends in real-time, projecting future movements via a "Ghost Line" and providing dynamic bands and mean reversion signals for identifying market extremes. By continuously updating its internal model with every new bar, the script provides a highly responsive framework for both trend forecasting and volatility-adjusted trading. 🔶 USAGE The indicator aims to identify trend direction and potential exhaustion points. The central RLS mean line represents the current equilibrium price based on the adaptive model, while the bands represent volatility-adjusted extremes. Users can utilize the tool for both trend following and mean reversion strategies: Trend Following: Observe the slope and direction of the RLS Mean and the "Ghost Line" projection to determine the prevailing market bias. Mean Reversion: Use the dynamic bands to identify when price has deviated significantly from its adaptive equilibrium. Responsiveness: Adjust the Forgetting Factor (λ) to control the model's memory. A lower value (e.g., 0.95) makes the model react quickly to new price pivots, while a higher value (e.g., 0.99) provides a smoother, more stable trend line. 🔹 Mean Reversion Signals The indicator identifies mean reversion opportunities using a two-step process: Overextension: A setup begins when the price crosses outside the Upper or Lower Band, indicating an overbought or oversold state. Entry Signal: A "BUY" or "SELL" signal is triggered when the price crosses back inside the band, suggesting a return to the RLS mean. Targets: The RLS mean line serves as the primary take-profit target for these mean reversion setups. 🔶 DETAILS The model assumes a linear relationship where the intercept and slope are updated recursively. The RLS algorithm is an adaptive filter that effectively "learns" the trend at every bar. It uses a state-space approach where the transition matrix is updated using a gain vector, ensuring the most efficient estimate of the current trend trajectory. Unlike standard Moving Averages, the Recursive Least Squares (RLS) algorithm minimizes the sum of squared prediction errors by giving more weight to recent data. This allows the mean line to pivot quickly when market conditions change without the lag associated with traditional smoothing techniques. The "Ghost Line" extends from the last bar into the future, providing a linear projection of where the current trend is headed. Surrounding this projection are "Standard Deviation Forecast Bands," which indicate the expected range of price movement based on the current model state. 🔶 SETTINGS Forgetting Factor (λ): Controls how quickly the model forgets old data. Values closer to 1.0 make the model stable, while lower values make it more adaptive to recent price changes. Band Multiplier: Standard deviation multiplier for the forecast bands, controlling the width of the mean reversion zones. Forecast Horizon: Number of bars to project the "Ghost Line" and uncertainty bands into the future. Show Ghost Line & Bands: Toggles the visibility of the future projection polylines. Show Mean Reversion Signals: Toggles the visibility of the BUY/SELL labels on the chart.
Pine Script® indicator
by LuxAlgo
5
Liquidity Depth Indicator [BigBeluga]🔵 OVERVIEW Liquidity Depth Indicator visualizes the distribution, balance, and depth of liquidity within a selected lookback window. It builds a full liquidity profile by scanning how often price interacted with each price level, generating cumulative buy-side and sell-side curves, heatmap intensity zones, and a clear Point of Control (PoC). This provides a deep structural view of where liquidity sits, how it’s stacked, and which side of the market dominates. 🔵 CONCEPTS Liquidity Binning — The full range (High → Low) over the lookback window is divided into 100 micro-price zones. Each candle contributes its volume into the bin closest to its close. Buy/Sell Side Split — • Zones above the midpoint = potential sell-side liquidity concentration. • Zones below midpoint = potential buy-side liquidity concentration. Cumulative Liquidity Curves — Each side builds a flowing curve showing how liquidity stacks from mid toward extremes. Liquidity Heatmap — Highlights volume density at each price level using color intensity for easy visual analysis. Point of Control — The price level with the highest liquidity accumulation (max volume bin). 🔵 FEATURES 100-Level Volume Distribution — Scans all candles inside the lookback period and assigns each close to the nearest bin. Sell-Side Depth Curve — Plotted above the midpoint, showing how sell liquidity increases as price moves toward the top of the range. Buy-Side Depth Curve — Plotted below the midpoint, showing how buy liquidity builds toward the bottom of the range. Volume Labels — Displays total buy-side and sell-side volume at curve peaks. Mid-Range Liquidity Split — Calculates: • Buy-side liquidity % • Sell-side liquidity % Displayed in two vertical boxes next to the profile. Liquidity Heatmap Overlay — Color-coded price strips showing where largest clusters sit: • Above midpoint → Sell zones • Below midpoint → Buy zones PoC Detection — Draws the strongest liquidity level with a bold line and prints its relative volume. Range Frame Lines — High, Low, and Mid lines are plotted to define the liquidity environment. Auto-Cleanup & Rebuild — All curves, boxes, and heatmap segments are refreshed each bar using barstate.islast. 🔵 HOW IT WORKS 1. Determines High, Low, and Mid over the lookback window. 2. Divides the range into 100 bins based on linear spacing. 3. Accumulates volume per bin depending on where each candle’s close lands. 4. Builds total, buy-side, and sell-side cumulative curves . 5. Colors the heatmap based on normalized volume per bin. 6. Locates PoC — the bin with maximum volume. 7. Creates buy/sell percentage distribution boxes . 🔵 HOW TO USE Identify Liquidity Imbalance — Compare the buy vs sell percentage boxes to see which side dominates. Spot Strong Liquidity Walls — Thick portions of cumulative curves represent areas price may reject. Read PoC as a Magnet — Price often gravitates toward the PoC or reacts strongly once reached. Evaluate Breakout Strength — If liquidity is concentrated at extremes, a breakout may face strong absorption. Use Heatmap as Hidden S/R — The brightest zones frequently act as hidden support/resistance. Detect Exhaustion Areas — If a curve sharply thins near highs or lows, the trend may weaken. 🔵 CONCLUSION Liquidity Depth Indicator is a powerful microstructure tool that reveals where liquidity is stacked within a price range. By combining cumulative curves, heat mapping, and PoC identification, it exposes both visible and hidden liquidity layers — helping traders spot absorption zones, reversal clusters, liquidity pools, and trend exhaustion areas with high clarity.
Pine Script® indicator
by BigBeluga
2
Chaos Weighted RSI [LuxAlgo]The Chaos Weighted RSI indicator provides a specialized relative strength index that adaptively adjusts its smoothing based on the level of market disorder (chaos). By utilizing Fractal Dimension Index (FDI) logic, the tool reduces sensitivity during chaotic price action to filter out market noise, offering a clearer perspective on momentum trends. 🔶 USAGE The indicator functions similarly to a traditional RSI but with a dynamic response rate. When the market is in a state of high chaos (random, non-trending movement), the RSI smoothing becomes heavier, preventing premature overbought or oversold readings. Conversely, when the price exhibits more orderly, trending behavior, the indicator becomes more responsive. Users can observe the following key elements: Trend Confirmation: The RSI line changes color based on its position relative to the 50 midline (Green for bullish momentum, Red for bearish momentum). Overbought/Oversold Zones: Traditional levels at 70 and 30 are used. The indicator features gradient fills to highlight when price momentum has reached these extremes. Divergence Detection: The script automatically identifies regular bullish and bearish divergences between price and the Chaos Weighted RSI, marking them with dots and connecting lines. 🔶 DETAILS The core innovation of this script is the integration of the Sevcik method for calculating Fractal Dimension. This calculation determines the "complexity" of the price path within a specific lookback window. 🔹 Weighting Mechanism The script calculates a Chaos value (scaled 0 to 1). This value modulates the RSI's smoothing factor (alpha). High chaos reduces the alpha, resulting in a smoother, slower-reacting RSI that is less likely to be influenced by whipsaws. Low chaos increases the alpha, allowing the RSI to track the price more closely during efficient trends. 🔹 Divergence Logic Divergences are confirmed using a pivot-based approach. Because the Chaos Weighted RSI is smoother than a standard RSI during noisy periods, the divergences detected are often more significant and less prone to minor price fluctuations. 🔶 SETTINGS 🔹 RSI Settings RSI Length: Sets the base period for the RSI calculation. 🔹 Disorder Settings Disorder Lookback: The period used to calculate the price chaos via the Fractal Dimension Index. Weight Sensitivity: Determines how aggressively the chaos calculation affects the RSI smoothing. Higher values result in more significant smoothing during chaotic periods. 🔹 Visuals Overbought/Oversold Fill: Customizes the colors for the gradient fills in extreme zones. Background Transparency: Adjusts the visibility of the central background fill between levels 30 and 70. 🔹 Divergence Settings Divergence Strength: The number of bars required on the left and right of a pivot to confirm a divergence. Higher values filter for more significant, long-term signals. Show Bullish/Bearish Divergence: Toggles the visibility of divergence labels and lines.
Pine Script® indicator
by LuxAlgo
4
Market Structure Dashboard | Flux ChartsGENERAL OVERVIEW Market Structure Dashboard is a multi-timeframe market structure analysis indicator. It combines EMA trend detection, swing high/low tracking, market structure labels, Order Block detection, Fair Value Gap detection, liquidity sweep detection, volume analysis, volatility analysis, trading sessions, ICT killzones, a weighted trend bias system, and HTF levels into one unified dashboard. Each component is calculated independently across up to 7 configurable timeframes and displayed together in a single organized view. (Screenshot: Full dashboard overview - all sections visible) (Screenshot: Dashboard on a busy chart showing OB/FVG boxes, swing labels, HTF lines) WHAT IS THE THEORY BEHIND THIS INDICATOR? The core idea is that a trade setup becomes more reliable when multiple timeframes agree on direction. A bullish signal on a 5-minute chart carries more weight when the 15-minute, 1-hour, and daily timeframes also show bullish conditions. Analyzing each timeframe separately is both time-consuming and prone to error. The Market Structure Dashboard automates this process by calculating key metrics across all enabled timeframes and presenting them side by side. The indicator draws from two established trading methodologies. Smart Money Concepts (SMC) focuses on identifying institutional footprints in price action through patterns like Order Blocks, Fair Value Gaps, and liquidity sweeps. Inner Circle Trader (ICT) methodology emphasizes time-based analysis through specific trading windows called killzones and the importance of previous day, week, and month highs and lows. Rather than treating these concepts in isolation, the dashboard organizes them into a layered framework. Structure shows where the market has been. Zones show where it may react. Sessions and killzones show when activity tends to increase. The trend bias system combines all factors into a single weighted score, giving traders a quick read on overall market sentiment across timeframes. The purpose of the Market Structure Dashboard is to present the current market activity across multiple timeframes and how these conditions relate to earlier market structure, volume, and timing. (Screenshot: Multi-timeframe confluence example - all TFs showing bearish alignment) (Screenshot: Multi-timeframe disagreement example - mixed signals across TFs) MARKET STRUCTURE DASHBOARD FEATURES The Market Structure Dashboard indicator includes 14 main features: EMA Trend Detection Swing High/Low Tracking Market Structure Labels (HH/HL/LH/LL) Order Block Detection Fair Value Gap Detection Liquidity Sweep & Reclaim Detection Volume Analysis Volatility Analysis Trading Sessions ICT Killzones Trend Bias System HTF Levels (PDH/L, PWH/L, PMH/L) Visual Overlays Dashboard Customization Each component operates independently while sharing the same underlying market structure logic. All features are calculated across up to 7 user-configurable timeframes and displayed in a unified dashboard. Detailed explanations for each component are provided in the sections that follow. EMA TREND DETECTION 🔹 What is an EMA? An Exponential Moving Average (EMA) is a type of moving average that gives more weight to recent price data. Unlike a Simple Moving Average that weights all prices equally, the EMA responds faster to recent price changes while still considering historical data. Traders use EMAs to identify trend direction and dynamic support/resistance levels. When price trades above the EMA, the short-term trend is considered bullish. When price trades below the EMA, the short-term trend is considered bearish. The distance between price and EMA can indicate trend strength, with larger distances suggesting stronger momentum. 🔹 How the Indicator Uses EMA The dashboard calculates a 9-period EMA (configurable) for each enabled timeframe. The EMA Trend column displays both direction and distance. ◇ Direction is shown with an up arrow (↑) when price is above EMA, or a down arrow (↓) when price is below EMA. ◇ Distance is displayed as percentage, price, or pips based on the Distance Display setting. For example, "+0.45% ↑" means price is 0.45% above the EMA on that timeframe. ◇ Color coding shows green when price is above EMA (bullish) and red when price is below EMA (bearish). The EMA can optionally be plotted as a visual overlay on the chart. It can also be included as a factor in the Trend Bias calculation, where each timeframe's EMA direction contributes to the overall bias score. (Screenshot: EMA column showing bearish readings - red, ↓) SWING HIGH/LOW TRACKING 🔹 What are Swing Highs and Lows? A swing high is a price peak where a candle's high is higher than the highs of surrounding candles. A swing low is a price trough where a candle's low is lower than the lows of surrounding candles. These points represent short-term reversals and define the boundaries of price movement. Swing points are foundational to market structure analysis. Breaking a swing high suggests bullish momentum. Breaking a swing low suggests bearish momentum. The sequence of swing points creates market structure patterns that reveal trend direction. 🔹 How the Indicator Tracks Swing Highs/Lows? The indicator detects swing points using a configurable Swing Length parameter (default: 5). A swing high is confirmed when a candle's high is higher than the specified number of candles on both sides. A swing low is confirmed when a candle's low is lower than the specified number of candles on both sides. This confirmation requirement means swing points are identified with a delay, ensuring they are valid pivots rather than temporary spikes. This same Swing Length setting is also used by Order Block detection and Market Structure labels, so adjusting it affects all three features. ◇ The Swing H/L column displays a visual position indicator showing where price sits within the current swing range. A dot moves along a bar between L (swing low) and H (swing high) to show exact position. ◇ When price breaks outside the range, arrows indicate the direction. An up arrow (↑) appears when price breaks above the swing high. A swing high break indicates that buyers have pushed price beyond the previous peak, suggesting bullish momentum and a potential continuation higher. (Screenshot: Price above Swing High) A down arrow (↓) appears when price breaks below the swing low. A swing low break indicates that sellers have pushed price beyond the previous trough, suggesting bearish momentum and a potential continuation lower (Screenshot: Price breaks Swing Low) When a liquidity sweep occurs (price breaks a level then reclaims it), special arrows appear: ⤴ for a swept and reclaimed low, ⤵ for a swept and reclaimed high. A swept and reclaimed swing means price broke beyond the level, likely triggering stop-loss orders resting beyond it, but then reversed back inside the range. This suggests the breakout was a false move and the opposite direction may follow. Liquidity sweeps are explained in detail in the Liquidity Sweep & Reclaim Detection section below. ◇ Color coding shows green when price is in the lower half of the range or breaks above the swing high, and red when price is in the upper half or breaks below the swing low. (Screenshot) ◇ Tooltips provide additional context when hovering over any Swing H/L cell, such as "Price is nearing swing low on 15M" or "Price above swing high on 1H - swing high broken." MARKET STRUCTURE LABELS (HH/HL/LH/LL) 🔹 What is Market Structure? Market structure refers to the pattern of swing highs and swing lows that price creates over time. By comparing consecutive swing points, each new swing can be classified into one of four types. ◇ HH (Higher High): A swing high that is higher than the previous swing high, indicating bullish momentum. ◇ HL (Higher Low): A swing low that is higher than the previous swing low, indicating bullish momentum. ◇ LH (Lower High): A swing high that is lower than the previous swing high, indicating bearish momentum. ◇ LL (Lower Low): A swing low that is lower than the previous swing low, indicating bearish momentum. (Screenshot: Bullish and Bearish Swing Points) Bullish structure consists of HH and HL patterns, where price makes higher highs and higher lows. Bearish structure consists of LH and LL patterns, where price makes lower highs and lower lows. Mixed structure contains conflicting patterns and indicates consolidation or potential trend change. 🔹 How the Indicator Displays Market Structure The Structure column shows the last three structure labels in sequence along with an overall bias arrow. ◇ "LL-LH-HL →" indicates mixed structure with no clear direction. ◇ "HH-HL-HH ↑" indicates bullish structure with higher highs and higher lows. ◇ "LH-LL-LH ↓" indicates bearish structure with lower highs and lower lows. (Screenshot: Dashboard showing neutral, bearish and bullish indication across different timeframes) The indicator tracks each new swing point as it forms, compares it to the previous swing of the same type, and assigns the appropriate label. Market Structure labels use the same Swing Length setting as Swing High/Low tracking, so both features stay synchronized. Structure bias is determined by the most recent high type and low type combined. If the last swing high was HH and the last swing low was HL, bias is bullish. If the last swing high was LH and the last swing low was LL, bias is bearish. Any other combination shows neutral. Color coding shows green for bullish structure, red for bearish structure, and gray for mixed or neutral structure. ORDER BLOCK DETECTION 🔹 What is an Order Block? An Order Block is a concept from Smart Money analysis representing a candle or consolidation area where institutional orders may have been placed. In SMC methodology, Order Blocks are identified as the last opposing candle before a significant price move that breaks market structure. ◇ A Bullish Order Block is the last bearish candle before a rally that breaks a swing high. When price returns to this zone, it may find support. ◇ A Bearish Order Block is the last bullish candle before a drop that breaks a swing low. When price returns to this zone, it may find resistance. Order Blocks are considered "mitigated" when price trades completely through them, suggesting the institutional orders have been filled. 🔹 How the Indicator Detects Order Blocks The detection algorithm follows a specific sequence to identify valid Order Blocks. ◇ Step 1: The indicator tracks swing highs and swing lows using the configured Swing Length setting (shared with Swing High/Low tracking and Market Structure labels). ◇ Step 2: When price breaks above a swing high, the indicator identifies a bullish breakout. When price breaks below a swing low, it identifies a bearish breakout. ◇ Step 3: For a bullish Order Block, the indicator finds the candle with the lowest low between the broken swing high and the current bar. For a bearish Order Block, it finds the candle with the highest high between the broken swing low and the current bar. ◇ Step 4: The Order Block zone is created spanning from that candle's low to its high. ◇ Step 5: Mitigation is applied when price closes through the Order Block. Bullish OBs are mitigated when price closes below the zone. Bearish OBs are mitigated when price closes above the zone. The Order Block column shows the nearest unmitigated Order Block for each timeframe. "IN BULL OB ↑" means price is currently inside a bullish Order Block. "BULL OB (5.4%) ↑" means the nearest OB is bullish and 5.5% away. "NONE" means no unmitigated Order Blocks exist on that timeframe. (Screenshot: Nearest order block is Bull OB) (Screenshot: Price in Bear OB) FAIR VALUE GAP DETECTION 🔹What is a Fair Value Gap? A Fair Value Gap (FVG), also called an imbalance, is a three-candle pattern where a gap exists between the first and third candle that the middle candle did not fill. This gap represents an area where price moved quickly, creating an imbalance in the market. ◇ A Bullish FVG forms when the first candle's high is lower than the third candle's low, creating an upward gap. When price returns to this gap, it may find support. ◇ A Bearish FVG forms when the first candle's low is higher than the third candle's high, creating a downward gap. When price returns to this gap, it may find resistance. FVGs are considered mitigated when price wicks into the gap, filling the inefficiency. 🔹 How the Indicator Detects FVGs The detection logic checks for the three-candle gap pattern with specific conditions. ◇ For a Bullish FVG, the current candle's low must be above the candle from three bars ago's high (gap exists), and the middle candle must be bullish (displacement candle). ◇ For a Bearish FVG, the current candle's high must be below the candle from three bars ago's low (gap exists), and the middle candle must be bearish (displacement candle). ◇ The FVG zone spans from the gap's bottom to its top. ◇ Mitigation occurs when price wicks below the gap bottom for bullish FVGs, or above the gap top for bearish FVGs. Note that FVG mitigation is more sensitive than Order Block mitigation. FVGs only need a wick to touch them, while Order Blocks require a close through them. The FVG column displays similarly to Order Blocks. "IN BULL FVG ↑" means price is inside a bullish Fair Value Gap. "BULL FVG (0.2%) ↑" means the nearest FVG is bullish and 0.2% away. "NONE" means no unmitigated FVGs exist on that timeframe. (Screenshot: Price in Bull FVG) (Screenshot: Bear FVG +3.4% away) LIQUIDITY SWEEP & RECLAIM DETECTION 🔹 What is a Liquidity Sweep? Liquidity refers to resting orders in the market, particularly stop-loss orders. Traders commonly place stops just beyond swing highs and swing lows, creating pools of liquidity at these levels. A liquidity sweep occurs when price breaks beyond a swing point, potentially triggering stops, but then reverses and closes back inside the range. ◇ A Bullish Liquidity Sweep occurs when price breaks below a swing low, then reverses and closes back above it. This pattern suggests potential buying interest after weak hands have been stopped out. ◇ A Bearish Liquidity Sweep occurs when price breaks above a swing high, then reverses and closes back below it. This pattern suggests potential selling interest after weak hands have been stopped out. 🔹 How the Indicator Detects Liquidity Sweeps The indicator tracks whether each swing level has been broken and then reclaimed. ◇ A swing low is marked as broken when price trades below it. A swing high is marked as broken when price trades above it. ◇ A reclaim is detected when price closes back above a broken swing low (bullish) or back below a broken swing high (bearish). ◇ The break and reclaim flags reset when a new swing point forms, ensuring fresh detection for each level. When a liquidity sweep is detected, the Swing H/L column displays special indicators. The ⤴ symbol indicates a bullish liquidity sweep where price swept the low and reclaimed. The ⤵ symbol indicates a bearish liquidity sweep where price swept the high and reclaimed. Tooltips provide additional context such as "Liquidity sweep - price swept swing low and reclaimed on 15M." (Screenshot: Swing High Swept) (Screenshot: Previous Month Low Swept) VOLUME ANALYSIS 🔹 What is Volume Analysis? Volume represents the number of shares, contracts, or units traded during a given period. High volume suggests strong interest and participation behind a price move. Low volume suggests weak interest and moves may lack follow-through. Comparing current volume to average volume helps identify unusual activity. 🔹 How the Indicator Analyzes Volume The dashboard calculates current volume as a percentage of its 20-period simple moving average. ◇ The Volume column displays a visual bar using filled and empty blocks to represent volume level relative to average. ◇ Volume states are classified as EXTREME (over 200% of average), HIGH (over 120%), NORMAL (over 80%), LOW (over 50%), or VERY LOW (50% or less). (Screenshot: Extreme Volume) ◇ Color coding shows yellow for extreme volume, orange for high volume, and gray for normal, low, and very low. ◇ Tooltips show the exact percentage, such as "Volume is currently at 145% of average." VOLATILITY ANALYSIS 🔹 What is Volatility? Volatility measures how much price fluctuates over a given period. High volatility means large price swings. Low volatility means small price movements. The Average True Range (ATR) is a common volatility measure that calculates the average of true ranges over a period. 🔹 How the Indicator Measures Volatility The dashboard calculates a 14-period ATR and compares it to its own 20-period average (configurable). ◇ The Volatility column displays the current state as HIGH (ATR over 130% of average), NORMAL (ATR between 70-130% of average), or LOW (ATR under 70% of average). ◇ Color coding shows red for high volatility, gray for normal, and green for low volatility. ◇ Tooltips provide context such as "Volatility is currently high" or "Volatility is currently low." Low volatility often precedes significant moves, making it a useful setup indicator when combined with price at key levels. (Screenshot: High Volatility) TRADING SESSIONS 🔹 What are Trading Sessions? Financial markets have varying activity levels throughout the day. Trading is typically divided into three major sessions based on which financial centers are open. ◇ Asian Session runs from 7:00 PM to 3:00 AM EST. It is characterized by generally lower volatility and ranging price action ◇ London Session runs from 3:00 AM to 12:00 PM EST. It is characterized by higher volatility and trending moves ◇ New York Session runs from 8:00 AM to 5:00 PM EST. It has high volatility especially during the London overlap from 8:00 AM to 12:00 PM EST, affecting USD pairs and all majors. 🔹 How the Indicator Displays Sessions The Session column shows the current session name in the first row as ASIAN, LONDON, NEW YORK, or OFF HOURS (between sessions from 5:00 PM to 7:00 PM EST). ◇ The second row shows a progress bar that fills as the session advances, with each block representing approximately one hour. ◇ Sessions are color-coded as blue for Asian, green for London, orange for New York, and gray for off hours. These colors can be customized in the settings ◇ The indicator uses New York (EST) timezone for all session calculations and includes replay mode support. (Asian Session and Killzone) ICT KILLZONES 🔹 What are Killzones? Killzones are specific time windows within each trading session when market activity tends to be higher. These windows are derived from ICT (Inner Circle Trader) methodology and represent times when significant moves are more likely to occur. ◇ Asian Killzone runs from 8:00 PM to 12:00 AM EST and often sets the initial range for the day. ◇ London Killzone runs from 2:00 AM to 5:00 AM EST and covers the London open when major moves are common. ◇ New York AM Killzone runs from 9:30 AM to 11:00 AM EST and covers the NYSE open, a high volume period. ◇ New York Lunch runs from 12:00 PM to 1:00 PM EST and typically has lower activity and consolidation. ◇ New York PM Killzone runs from 1:30 PM to 4:00 PM EST when afternoon continuation moves occur. 🔹 How the Indicator Displays Killzones The Killzone column shows the current killzone in the first row as ASIAN KZ, LONDON KZ, NY AM KZ, NY LUNCH, NY PM KZ, or NO KILLZONE when outside all killzones. ◇ When outside a killzone, the second row shows a countdown to the next killzone, such as "NY AM KZ in 2h:15m." ◇ Killzones are color-coded as blue for Asian, green for London, orange for NY AM, gray for NY Lunch, and purple for NY PM. These colors can be customized in the settings TREND BIAS SYSTEM 🔹 What is Trend Bias? The Trend Bias System aggregates multiple factors across all enabled timeframes to produce a single directional bias score. Instead of analyzing each factor and timeframe separately, this system provides a weighted summary of overall market sentiment. 🔹 How the Indicator Calculates Trend Bias The calculation involves three components working together. (Screenshot: BTC Bearish Trend) ◇ Factors determine what contributes to bias. Users can enable or disable Structure (market structure bias), Order Block (direction of nearest OB), FVG (direction of nearest FVG), EMA Trend (price position relative to EMA), and Swing Position (where price sits in the swing range). Each enabled factor contributes +1 for bullish, -1 for bearish, or 0 for neutral per timeframe. ◇ Weights determine how much each timeframe matters. Each timeframe has a configurable weight from 0 to 10. Default weights are 1 for 1M and 5M, 2 for 15M, 1H, and 4H, 3 for Daily, and 4 for Weekly. Higher weights mean that timeframe contributes more to the final score. (Screenshot: Gold Bullish Trend) ◇ Score Calculation combines factors and weights. For each active timeframe, the sum of factor scores is multiplied by the timeframe's weight. The total score is the sum of all timeframe scores. The maximum possible score is the sum of each weight multiplied by the number of enabled factors. The bias percentage equals the total score divided by the maximum possible score, multiplied by 100. ◇ Bias Labels are assigned based on percentage. Over 50% shows BULLISH ↑. Between 20% and 50% shows LEAN BULL ↑. Between -20% and 20% shows NEUTRAL →. Between -50% and -20% shows LEAN BEAR ↓. Below -50% shows BEARISH ↓. The Trend Bias column displays the bias label in the first row and the raw score in the second row, such as "+22/60" meaning 22 points out of 60 possible. HTF LEVELS (PDH/L, PWH/L, PMH/L) 🔹 What are HTF Levels? Higher Timeframe (HTF) Levels are significant price points from previous completed periods. These levels represent clear, objective reference points that many traders watch. ◇ PDH/PDL (Previous Day High/Low) are the high and low of the previous completed trading day and act as intraday support and resistance. ◇ PWH/PWL (Previous Week High/Low) are the high and low of the previous completed week and are significant levels for swing trading. ◇ PMH/PML (Previous Month High/Low) are the high and low of the previous completed month and are major levels for position trading. 🔹 How the Indicator Displays HTF Levels The HTF Levels Dashboard section (optional) shows a swing-style position bar for each enabled level, displaying where price sits within the previous day, week, or month range. ◇ The same liquidity sweep detection applies to HTF levels. If price sweeps PDL and reclaims, the ⤴ indicator appears. (Screenshot: Previous Week Low Swept) ◇ Visual overlays can plot HTF level lines on the chart with customizable colors and line styles. ◇ When multiple levels are close together, labels automatically combine. For example, "PDH/PWH" appears when both levels are at similar prices, or "PDL/PWL/PML" when all three lows align. (Screenshot: PWH/PMH labels combined when Previous Week Low and Previous Month Low align) VISUAL OVERLAYS Beyond the dashboard, the indicator offers optional visual overlays that plot directly on the price chart. 🔹 Order Block Zones When enabled, Order Blocks appear as semi-transparent rectangular boxes. Green boxes represent bullish Order Blocks and red boxes represent bearish Order Blocks. Boxes span from the OB candle's low to its high and extend forward based on the Extend setting. Optional labels show "OB ↑" or "OB ↓" inside the zones. 🔹 FVG Zones Fair Value Gaps appear as boxes with dashed borders to distinguish them from Order Blocks. Green dashed boxes represent bullish FVGs and red dashed boxes represent bearish FVGs. They share the same extend and label options as Order Blocks. (Order Blocks & Fair Value Gaps) 🔹 Swing Labels HH, HL, LH, and LL labels can be plotted directly at each swing point on the chart. Labels appear above swing highs and below swing lows. Green labels indicate bullish structure (HH, HL) and red labels indicate bearish structure (LH, LL). The Show Last setting controls how many labels appear. 🔹 Swing Lines Horizontal lines can be drawn at the current swing high and swing low. A red line appears at the swing high and a green line at the swing low. Line styles are customizable as solid, dashed, or dotted. (Swing Labels & Swing Lines) 🔹 HTF Level Lines Horizontal lines can be plotted at Previous Day, Week, and Month highs and lows. Each level has a separate enable toggle with customizable colors and line styles. Labels auto-combine when levels are close together. 🔹 EMA Line A standard EMA line can be plotted on the chart using the same EMA Length setting as the dashboard with customizable color. DASHBOARD CUSTOMIZATION: The dashboard is highly customizable to fit different trading styles and screen setups. 🔹Dashboard Position Choose from 9 dashboard positions including top left, top center, top right, middle left, middle center, middle right, bottom left, bottom center, and bottom right. 🔹Dashboard Colors Two color themes are available. Dark Mode has dark backgrounds with light text and is the default. Light Mode has light backgrounds with dark text. 🔹Column Toggles Enable or disable individual columns in each dashboard section to show only the information needed. The Market Structure Dashboard section can toggle EMA Trend, Swing H/L, Structure, Order Block, and FVG columns. The Current Timeframe Dashboard section can toggle Volume, Swing H/L, and Volatility columns. The Market Context Dashboard section can toggle Session, Killzone, and Trend Bias columns. The HTF Levels Dashboard section can toggle PDH/L, PWH/L, and PMH/L levels. 🔹Color Settings Customize colors for trend colors (bull, bear, neutral), session colors (Asian, London, NY), and killzone colors (Asian KZ, London KZ, NY AM, Lunch, PM). 🔹Distance Display Choose how distances are shown. Percent shows values like "0.45%" and is the default. Price shows raw values like "45.50". Pips shows values like "45 pips" and is useful for forex. SETTINGS: 🔹 Timeframes Configure which timeframes are analyzed in the dashboard. Enable toggles turn each of the 7 timeframes on or off. Timeframe selection sets the specific timeframe for each slot (1M, 5M, 15M, 1H, 4H, D, W, M, or custom). Trend weight controls how much each timeframe contributes to the overall bias calculation (0-10), with higher values giving that timeframe more influence. 🔹 Market Structure Dashboard Controls the main multi-timeframe dashboard section. The enable toggle turns the entire section on or off. Column toggles allow you to show or hide individual columns: EMA Trend, Swing H/L, Structure, Order Block, and FVG. Disabling columns you don't need reduces visual clutter and focuses the dashboard on the information most relevant to your trading style. 🔹 Current Timeframe Dashboard Controls the current chart timeframe section that displays volume, swing position, and volatility data. The enable toggle turns the entire section on or off. Column toggles allow you to show or hide individual columns: Volume, Swing H/L, and Volatility. 🔹 Market Context Dashboard Controls the market context section that displays session, killzone, and trend bias information. The enable toggle turns the entire section on or off. Column toggles allow you to show or hide individual columns: Session, Killzone, and Trend Bias. 🔹 HTF Levels Dashboard Controls the higher timeframe levels section that displays previous day, week, and month high/low data. The enable toggle turns the entire section on or off. Level toggles allow you to show or hide individual levels: PDH/L, PWH/L, and PMH/L. 🔹 Trend Bias Settings Controls which factors contribute to the trend bias calculation. Factor toggles allow you to include or exclude Structure, Order Block, FVG, EMA Trend, and Swing H/L from the bias score. Disabling factors you don't find relevant customizes how the overall bias is determined. 🔹 Visual Overlays Controls what is plotted directly on the price chart. Order Blocks and FVGs each have an enable toggle, bull/bear colors, show last count (how many zones to display), extend bars (how far zones project forward), and labels toggle. Swing Labels have an enable toggle, bull/bear colors, and show last count. Swing Lines have an enable toggle, high/low colors, line style (solid, dashed, dotted), and extend bars. HTF Level Lines for Previous Day, Week, and Month highs/lows each have an enable toggle, colors, and line style, with a shared extend setting for all HTF lines. EMA has an enable toggle and color setting. 🔹 General Settings Core indicator parameters. EMA Length sets the period for EMA calculation (default 9). Swing Length sets how many bars are required to confirm a pivot and is used for Swing Point detection, Order Block detection, and Market Structure labels (default 5). Volatility Lookback sets the period for ATR averaging (default 20). Distance Display controls how distances are shown: Percent, Price, or Pips. Dashboard Position sets where the dashboard appears on the chart (9 options). Dashboard Theme switches between Dark Mode and Light Mode. Color settings allow customization of trend colors (bull, bear, neutral), session colors (Asian, London, NY), and killzone colors (Asian KZ, London KZ, NY AM, Lunch, PM). (Full Dashboard) (Customized Display) UNIQUENESS: The Market Structure Dashboard focuses on multi-timeframe confluence by calculating and displaying the same analytical components across up to 7 timeframes simultaneously. Unlike indicators that show one timeframe at a time, each row in the dashboard represents a complete analysis of that timeframe's structure, zones, and trend state. This allows traders to observe alignment, disagreement, and transitions across timeframes within a single view. The weighted Trend Bias System combines structure, zones, EMA, and swing position into a single score that accounts for timeframe importance. Higher timeframes can be weighted more heavily, reflecting their greater significance in establishing overall market direction. The dashboard also integrates time-based context through session and killzone tracking, helping traders identify when market conditions align with historically active trading windows. All components coexist without overriding each other, providing a comprehensive framework for multi-timeframe market structure analysis.
Pine Script® indicator
by fluxchart
5
Volumetric Supply and Demand Zones [BOSWaves]Volumetric Supply and Demand Zones - Impulse-Based Zone Detection with Embedded Volume Profile Analysis Overview Volumetric Supply and Demand Zones is an impulse-driven zone identification system that marks significant reversal areas through swing detection and volume accumulation patterns, where zone boundaries dynamically reflect actual trading activity concentration rather than arbitrary price levels. Instead of relying on traditional horizontal support/resistance lines or fixed pivot structures, zone placement, thickness, and volumetric composition are determined through ATR-normalized impulse detection, volume profile distribution analysis, and delta decomposition within base formation periods. This creates adaptive supply and demand boundaries that reflect actual volume accumulation patterns rather than simple price extremes - contracting zones around high-volume concentration areas when profile shows tight distribution, expanding zones during dispersed volume activity, and incorporating positive/negative delta breakdowns to reveal whether zones formed under buying or selling pressure dominance. Price interactions are therefore evaluated relative to volume-weighted zone structures and point-of-control levels rather than conventional naked price zones. Conceptual Framework Volumetric Supply and Demand Zones is founded on the principle that meaningful reversal zones emerge where significant volume accumulated during consolidation before impulse moves rather than at simple swing high/low pivot points. Traditional supply and demand methods identify zones using price structure alone through swing detection or candlestick patterns, which often ignores the underlying volume distribution and buying/selling pressure that validates institutional accumulation or distribution. This framework replaces price-only logic with volume-weighted zone construction informed by actual trading activity concentration and delta composition. Three core principles guide the design: Zone boundaries should encompass base formation periods preceding impulse moves, not isolated pivot candles alone. Volume profile distribution within zones must reveal where actual trading activity concentrated, identifying true points of control. Delta decomposition exposes whether zones formed under buying pressure (demand accumulation) or selling pressure (supply distribution). This shifts supply and demand analysis from naked price levels into volume-validated, delta-aware institutional footprint zones. Theoretical Foundation The indicator combines swing pivot detection, ATR-based impulse measurement, volume profile construction, and delta decomposition analysis. A pivot detection system identifies local swing highs and lows using configurable left/right bar parameters. Impulse validation measures the subsequent price move magnitude relative to ATR, confirming whether the swing preceded a significant directional thrust. Zone boundaries encompass a lookback period of candles forming the base, with maximum height capped by ATR multiplier to prevent excessively large zones. Volume profile divides each zone into horizontal rows, distributing volume proportionally based on price overlap and identifying the point of control (highest volume row). Delta profile separates volume into buying versus selling components using close-open relationships, revealing net directional pressure within each profile row. Five internal systems operate in tandem: Swing Detection Engine : Identifies pivot highs and lows using symmetrical left/right bar confirmation for potential zone anchor points. Impulse Validation System : Measures price movement magnitude following pivot formation, requiring ATR-multiple threshold breach to confirm zone significance. Volume Profile Constructor : Divides zone height into configurable rows, allocates volume proportionally based on bar price range overlap with each row, identifies POC as highest-volume row. Delta Decomposition Engine : Separates volume into buying (up-close bars) versus selling (down-close bars) components within each profile row, calculates net delta and dominant pressure direction. Zone Merge Logic : Detects overlapping zones of same type (supply/supply or demand/demand), combines boundaries and recalculates volume/delta statistics with weighted blending. This design allows supply and demand zones to reflect actual volume accumulation reality rather than reacting mechanically to price pivots alone. How It Works Volumetric Supply and Demand Zones evaluates price through a sequence of volume-aware zone construction processes: Pivot Identification : Swing detection algorithm identifies local highs and lows using configurable left/right bar symmetry, marking potential reversal zone anchors. Impulse Magnitude Validation : Following pivot formation, price movement measured relative to ATR over lookback period - move must exceed ATR multiplier threshold to confirm zone validity. Base Period Boundary Definition : Zone encompasses pivot bar plus configurable lookback candles forming the consolidation base preceding impulse move. Height Normalization : Raw zone height (high to low of base period) capped at maximum ATR multiplier to prevent zones becoming unreasonably large during extended consolidations. Volume Profile Row Allocation : Zone divided into configurable number of horizontal rows, each bar's volume distributed proportionally based on price range overlap with row boundaries. Point of Control Identification : Row with highest accumulated volume marked as POC, representing price level with maximum trading activity concentration within zone. Delta Component Separation : Each bar's volume classified as buying (close > open) or selling (close < open), allocated to respective delta buckets within overlapping profile rows. Delta Profile Construction : Net delta (buy volume minus sell volume) calculated per row, rendered as horizontal bars extending from zone right edge inward with green (positive) or red (negative) coloring. Overlap Detection and Merging : New zones checked against existing zones of same type, overlapping zones within merge gap threshold combined with boundary expansion and volume/delta statistics aggregation. Mitigation Detection : Price interaction monitoring using configurable method (wick or close) determines when zones violated, triggering zone deletion and cleanup of all visual elements. Together, these elements form a continuously updating supply and demand framework anchored in volume accumulation reality and delta pressure composition. Interpretation Volumetric Supply and Demand Zones should be interpreted as volume-validated institutional footprint zones: Demand Zones (Green) : Form at swing lows preceding upward impulse moves exceeding ATR threshold - represent areas where buyers accumulated positions before markup phase, volume profile shows where bids concentrated. Supply Zones (Red) : Establish at swing highs preceding downward impulse moves exceeding ATR threshold - identify areas where sellers distributed positions before markdown phase, volume profile shows where offers concentrated. Volume Profile Bars : Horizontal bars extending from zone left edge show relative volume distribution across price levels - longer bars indicate higher trading activity, revealing true institutional accumulation/distribution levels versus arbitrary zone edges. Point of Control Line (White) : Horizontal line within zone marks price level with maximum volume concentration - represents the most significant institutional activity level, often acts as magnetic price level during retests. Delta Profile Bars : Horizontal bars extending from zone right edge inward display net buying/selling pressure per price level - green bars show buy volume dominance (accumulation), red bars show sell volume dominance (distribution). Zone Info Box : Text panel on right edge displays zone type (SUPPLY/DEMAND), status (Fresh/Tested), total volume, net delta, and touch count - provides quantitative validation of zone significance. Fresh Status : Newly created zones not yet tested by price - highest probability reversal zones as institutional orders likely remain unfilled. Tested Status : Zones where price returned and interacted with boundaries - touch count reveals how many times zone provided support/resistance, excessive touches suggest weakening. Merged Zones : Wider zones with higher volume/delta values formed by combining multiple overlapping base periods - represent extended institutional accumulation/distribution areas with greater significance. POC Brightness : Brightest (white) volume profile bar marks point of control - visual emphasis highlights the most critical price level within zone structure. Volume distribution shape, POC placement, delta composition, and touch count outweigh simple zone boundary reactions. Signal Logic & Visual Cues Volumetric Supply and Demand Zones presents zone interaction insights rather than discrete directional signals: Fresh Zone Formation : New supply or demand zone created when swing pivot followed by ATR-threshold impulse - suggests institutional footprint left behind, high-probability reversal area established. First Retest (Fresh → Tested) : Price returning to previously untouched zone triggers status change and touch increment - historically highest-probability reaction level as unfilled orders likely remain. POC Magnetic Behavior : Price gravitating toward white POC line during zone interaction - suggests institutional activity concentration level acting as support/resistance within broader zone. Volume Profile Asymmetry : Profile showing volume concentrated at zone edge versus center reveals base formation character - edge concentration suggests quick accumulation before impulse, center concentration indicates prolonged consolidation. Delta Divergence Patterns : Demand zones showing negative delta profile (red bars dominant) or supply zones showing positive delta (green bars) reveal weak zone formation - pressure composition conflicted with expected direction. Delta Confirmation Patterns : Demand zones with strong positive delta (green bars) or supply zones with strong negative delta (red bars) validate institutional conviction - pressure aligned with expected reversal direction. Excessive Touch Degradation : Touch count exceeding 3-4 interactions suggests zone weakening - repeated tests consume institutional orders, reducing reversal probability. Mitigation Events : Price closing beyond zone boundaries (or wicking through, based on settings) triggers zone deletion - invalidation confirms institutional levels failed, trend continuation likely. The primary value lies in volume-validated zone structure and delta composition analysis rather than simple boundary touches. Strategy Integration Volumetric Supply and Demand Zones fits within institutional footprint and order flow-aware trading approaches: Fresh Zone Reversal Entries : Enter counter-trend positions at first retest of fresh zones with strong delta confirmation - unfilled institutional orders provide high-probability reaction levels. POC-Precise Limit Orders : Place entries at POC line rather than zone edges - point of control represents maximum volume concentration, offering tighter stop placement and better risk/reward. Delta-Filtered Zone Selection : Prioritize demand zones showing positive net delta and supply zones showing negative net delta-aligned pressure composition validates institutional conviction. Volume Profile Distribution Analysis : Favor zones with tight volume concentration (profile bars clustered) over dispersed distribution - concentrated profiles suggest decisive institutional accumulation/distribution. Merge-Enhanced Conviction : Treat merged zones with higher volume/delta totals as stronger reversal candidates - combined statistics represent extended institutional activity periods. Touch Count Degradation Filtering : Reduce position sizing or avoid zones with 3+ touches - excessive interaction depletes institutional orders, weakening reversal probability. Trend Continuation via Mitigation : Enter breakout positions when price closes beyond supply zones (uptrend) or demand zones (downtrend) - mitigation confirms trend strength overwhelming institutional levels. Multi-Timeframe Zone Confluence : Apply higher-timeframe zones for macro structure, use lower-timeframe volume profile to identify precise entry levels within larger zones. Technical Implementation Details Core Engine : Pivot detection with symmetrical left/right confirmation, ATR-normalized impulse validation Zone Construction : Base period lookback with ATR-capped height normalization and time-based extension Volume Profile System : Proportional volume allocation across configurable rows with overlap percentage calculation Delta Engine : Close-open relationship classification separating buy/sell volume with net delta calculation per row POC Identification : Maximum volume row detection with visual emphasis rendering Merge Logic : Overlap detection with gap threshold, boundary expansion, and weighted statistic aggregation Visualization : Multi-element rendering (zone boxes, profile bars, delta bars, POC lines, info panels) with proportional sizing Performance Profile : Custom type system for zone/profile/delta management, efficient array-based storage with configurable zone limits Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Micro-structure supply/demand for scalping with tight ATR multipliers and reduced lookback 15 - 60 min : Intraday institutional footprint zones with balanced profile row count and merge sensitivity 4H - Daily : Swing-level accumulation/distribution areas with extended lookback periods and wider merge gaps Weekly - Monthly : Macro institutional zones with maximum profile detail and extended zone persistence Suggested Baseline Configuration: Swing Length : 8 Impulse Size (ATR) : 1.2 Base Lookback Candles : 3 ATR Length : 14 Maximum Zone Height (ATR) : 4.0 Maximum Zones : 10 Extend Zones (bars) : 60 Merge Overlapping Zones : Enabled Merge Gap (ATR) : 0.3 Mitigation Type : Wick Profile Rows : 10 Profile Width (%) : 0.5 Show POC Line : Enabled Show Delta Profile : Enabled Delta Profile Width (%) : 0.35 Show Zone Info Box : Enabled These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volatility profile, volume characteristics, and preferred zone sensitivity, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Too many zones cluttering chart : Increase Swing Length (10 - 12) to demand stronger pivots, or increase Impulse Size multiplier (1.5 - 2.0) to require larger moves for zone validation. Missing significant reversal levels : Decrease Swing Length (5-6) for earlier pivot detection, or reduce Impulse Size (0.8 - 1.0) to capture smaller but valid base formations. Zones too large/tall : Reduce Maximum Zone Height ATR multiplier (2.5 - 3.0) to cap vertical size, or decrease Base Lookback Candles (1 - 2) for tighter base periods. Zones too small to be useful : Increase Base Lookback Candles (4 - 6) to encompass longer consolidation periods, or raise Maximum Zone Height (5.0 - 7.0) for taller zones. Profile bars too granular : Decrease Profile Rows (6 - 8) for coarser distribution showing major volume clusters only. Profile lacking detail : Increase Profile Rows (15 - 20) for finer resolution revealing subtle volume distribution nuances. Zones merging too aggressively : Decrease Merge Gap ATR multiplier (0.1 - 0.2) to require tighter overlap for merge qualification, or disable merging entirely. Related zones not combining : Increase Merge Gap (0.5 - 0.8) to allow merging of zones with larger separation distances. Zones invalidating prematurely : Switch Mitigation Type from "Wick" to "Close" to require closing violation rather than intrabar penetration. Zones persisting too long after breach : Switch Mitigation Type from "Close" to "Wick" for faster invalidation on initial penetration. Profile bars invisible : Increase Profile Width percentage (0.6 - 0.8) for longer bars, improving visibility on cluttered charts. Delta profile obscuring volume profile : Reduce Delta Profile Width (0.2 - 0.3) to prevent overlap, or disable delta display temporarily. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Range-bound and mean-reverting markets where institutional zones provide reliable turning points Instruments with consistent volume characteristics where profile distribution reveals true accumulation/distribution Swing trading approaches targeting zone-to-zone reactions with defined risk parameters Reversal strategies seeking volume-validated entry levels rather than blind counter-trend positions Markets where delta proxy correlates well with actual order flow (trending volume instruments) Position trading benefiting from macro supply/demand structure with embedded volume context Reduced Effectiveness: Extremely low volume environments where profile distribution becomes unreliable and sparse News-driven or gapped markets where zones form/invalidate without normal volume accumulation patterns Highly trending markets where zones consistently mitigate without providing reversal opportunities Instruments with erratic volume patterns making delta decomposition and profile interpretation misleading Very high-frequency timeframes (seconds) where base formation periods too short for meaningful volume accumulation Integration Guidelines Confluence : Combine with BOSWaves structure, market profile, or traditional technical analysis for zone validation within broader context Volume Profile Respect : Trust POC levels and high-volume profile bars over arbitrary zone edges for entry/exit precision Delta Confirmation Priority : Favor zones where delta composition aligns with expected direction - positive delta in demand, negative delta in supply Fresh Zone Preference : Prioritize first retests of untouched zones over repeatedly tested areas with high touch counts Merge Recognition : Treat merged zones with elevated volume/delta statistics as higher-conviction institutional footprint areas Touch Count Filtering : Reduce position sizing or avoid zones after 3+ touches as institutional order depletion reduces effectiveness Mitigation Discipline : Exit zone-based positions decisively when price closes beyond boundaries, respecting invalidation signals Multi-Timeframe Structure : Apply higher-timeframe zones for swing structure, use lower-timeframe profiles for tactical entry refinement Disclaimer Volumetric Supply and Demand Zones is a professional-grade supply/demand zone and volume profile analysis tool. It uses volume-based delta proxy to estimate directional pressure but does not access true order book data or institutional trade information. Results depend on market conditions, volume reliability, ATR characteristics, parameter selection, and disciplined execution. Volume profile and delta calculations represent approximations based on close-open relationships and price overlap formulas, not actual bid/ask transactions. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, order flow context, and comprehensive risk management.
Pine Script® indicator
by BOSWaves
5
Gold Breakout Trader⚙️ Gold short-term entries off M1 timeframe every 2 hours every day with SL/TP targets. 📦 2-Hour Breakout Structure: The indicator plots a new set of dynamic zones every two hours, providing a fresh breakout structure based on the most recent price action. This is the default setting and is designed for intraday trading. 🎯 Precision Entry & Exit Levels: A central gray box is plotted, with Buy Stop and Sell Stop lines automatically placed 2 USD away from its borders. This buffer creates a neutral zone and helps filter out noise. 💰 Pre-Defined Profit Targets: Three Take Profit TP zones are plotted for both long and short trades TP1, TP2, TP3. These zones are spaced apart, providing clear targets for managing trades. ⚙️ Fully Customizable Spacing: Every element is adjustable. You can change the buffer between the gray box and stop lines, the gap between the stop lines and the first TP zone, and the gaps between each subsequent TP zone. 🔔 M1 Breakout Alerts: The indicator includes a powerful alerts module that triggers when an M1 candle closes above the Buy Stop level or below the Sell Stop level. This provides real-time notifications for potential trade entries. 🎨 Clean Visuals & Clear Labels: The zones are color-coded teal for buy-side, red/purple for sell-side for instant recognition. The Buy Stop and Sell Stop labels are also colored to match their respective directions, ensuring zero confusion. ⚙️ Trading Strategy & Logic This strategy is designed for precision and requires patience. The core idea is to wait for the market to confirm a breakout of the established 2-hour range before entering a trade. 📌 Entry Logic 1. 🕒 Wait for a New Zone: Allow the indicator to plot a new 2-hour structure. Do not trade old or expired zones. 2. 🔔 Set Your Alerts: In TradingView, create a new alert and select the indicator. For the condition, choose "Any alert() function call" and set it to trigger "Once Per Bar Close". This will notify you the moment a candle closes across a stop level. 3. 👀 Wait for the M1 Close: For a Long Buy Trade, wait for an M1 candle to close above the Buy Stop line. For a Short Sell Trade, wait for an M1 candle to close below the Sell Stop line. 4. ✅ Enter on Confirmation: Once you receive the alert and visually confirm the M1 candle has closed past the level, you can enter the trade. 🛑 Stop Loss SL Placement The stop loss is designed to be tight and objective, providing a clear invalidation of the trade idea. ⬇️ For a Long Trade, the Stop Loss should be placed at the Sell Stop line the level on the opposite side of the gray box. ⬆️ For a Short Trade, the Stop Loss should be placed at the Buy Stop line. 🎯 Take Profit TP Strategy The indicator provides three clear targets. How you use them depends on your trade management style. 🥇 TP1: The first level of resistance/support. This is an ideal target for taking partial profits and moving your stop loss to breakeven. 🥈 TP2 & TP3: Subsequent targets for scaling out of the position or for your final profit target. ⚠️ IMPORTANT NOTICE This indicator and the accompanying strategy are provided for educational purposes only. Trading financial markets involves substantial risk, and past performance is not indicative of future results. The logic described is based on a specific set of rules and does not guarantee profit. Always conduct your own analysis and risk management before entering any trade. The creators are not responsible for any financial losses incurred.
Pine Script® indicator
by ProjectSyndicate
4
2022 Model Pro+ | ICTKESIK2022 MODEL PRO+ | ICTKESIK OVERVIEW ----------------------------------------------------------------------------------------------- 2022 Model Pro+ | ICTKESIK is a professional-grade execution and study framework designed to systematically visualize ICT Unicorn and Silver Bullet style models in real time. The indicator consolidates liquidity, structure, displacement, PD Arrays, SMT divergence, session logic, and risk framework components into a single, rule-driven engine. It is built for traders, analysts, and educators who want to: - Study repeatable institutional models - Reduce discretion during live execution - Maintain consistency through structured validation and on-chart grading This indicator does not place trades or execute strategies. All logic is visual, analytical, and educational in nature. ----------------------------------------------------------------------------------------------- MODEL FOUNDATION ----------------------------------------------------------------------------------------------- The 2022 Model is built around a repeatable sequence of market behaviors: Liquidity interaction → Structure shift → Displacement → Price delivery 2022 Model Pro+ formalizes this process into two primary execution models: Unicorn Model - Sweep-based reversal framework - Requires full structural confirmation Silver Bullet Model - Time-restricted displacement model - Designed for NYAM macro execution Each model follows strict validation rules and is continuously evaluated until completion or invalidation. ----------------------------------------------------------------------------------------------- MODEL LOGIC FLOW ----------------------------------------------------------------------------------------------- Liquidity Identification - Tracks multiple liquidity sources: - Session highs and lows (Asia, London, NYAM, NYPM) - Previous day high and low - Swing-based buy-side and sell-side liquidity - Event-driven data wicks around the 08:30 NY window - All liquidity points remain active until swept or invalidated Liquidity Sweep Detection - A sweep is confirmed when price trades beyond a valid liquidity level - Sweeps are classified by source and logged as part of the model lifecycle - Sweeps act as the catalyst for further validation Market Structure Shift - Structure is tracked using swing sequencing - A shift is confirmed when price closes beyond the relevant swing reference - MSS confirmation gates all downstream logic Displacement and Fair Value Gaps - Displacement is detected through body-based imbalances - Both current timeframe and higher timeframe FVGs are supported - HTF PD Arrays are tracked as delivery objectives and grading context Breaker Block Validation - Breaker blocks are identified after a confirmed structure shift - Breaker candle selection is rule-based and non-repainting - Breakers are used exclusively for Unicorn model validation ----------------------------------------------------------------------------------------------- MODEL TYPES ----------------------------------------------------------------------------------------------- Unicorn Model - Requires the full sequence: - Liquidity sweep - Market structure shift - Valid breaker block - Fair value gap confirmation - Entry can be placed at: - Fair Value Gap - Breaker Block - Optimal overlap between both Silver Bullet Model - Restricted to the NYAM macro window - Does not require a breaker block - Uses premium and discount alignment for directional filtering - Requires displacement-based FVG formation inside the time window ----------------------------------------------------------------------------------------------- CORE COMPONENTS ----------------------------------------------------------------------------------------------- Liquidity Framework - Session liquidity tracking - Previous day reference levels - Data highs and lows - Optional visualization and mitigation handling Session Engine - Asia, London, NYAM, NYPM session boundaries - Session highs and lows persist until swept - Session context is integrated into model grading Key Opens - Midnight NY open - 08:30 NY open - Plotted as short reference stubs with labels Fair Value Gaps - Current timeframe FVG detection - Higher timeframe PD Array mapping - HTF gaps finalize on source timeframe close - Only the closest relevant HTF PD Array is kept active SMT Divergence - Automatic correlated asset pairing - Manual override supported - SMT is tracked as confirmation context - Only the most recent SMT is displayed to maintain clarity Premium and Discount - Dynamic midpoint calculation during active windows - Used as a directional filter for Silver Bullet execution - Updates in real time during the session ----------------------------------------------------------------------------------------------- ENTRY AND LIMIT FRAMEWORK ----------------------------------------------------------------------------------------------- Entry Level - Automatically plotted when a model completes validation - Entry logic depends on the active model and selected placement mode Stop Loss - Derived from multiple candidates: - Fixed baseline buffer - Structural pivots - Breaker block boundaries - FVG candle references - The most conservative valid stop is selected Take Profits - TP1 and TP2 are derived from nearby opposing liquidity - Targets respect minimum reward logic - Optional price labels can be displayed Consecutive Displacement Handling - If a new qualifying FVG forms before break-even is hit: - Entry, stop, and targets may be recalculated - Once break-even is reached, recalculation is disabled ----------------------------------------------------------------------------------------------- CHECKLIST AND GRADING ----------------------------------------------------------------------------------------------- When a setup forms, a live checklist appears on the chart verifying: - Liquidity sweep confirmed - Structure shift confirmed - Fair value gap present - Breaker block present (Unicorn only) - Premium or discount alignment - HTF PD Array delivery context - Session or data sweep source - SMT confirmation when enabled The checklist is designed to enforce discipline and prevent partial or forced setups. ----------------------------------------------------------------------------------------------- ALERT SYSTEM ----------------------------------------------------------------------------------------------- Alerts are optional and fully configurable. Alert categories include: - Macro window opens - Silver Bullet hour open - Session liquidity sweeps - Unicorn setup detected - Silver Bullet setup detected - Invalidation events All alerts output text messages only and do not execute trades. ----------------------------------------------------------------------------------------------- USAGE GUIDELINES ----------------------------------------------------------------------------------------------- This indicator is best used as: - A structured execution assistant - A study and journaling tool - An educational framework for teaching ICT-style models Recommended workflows: - Use neutral bias during study and replay - Apply directional bias when HTF context is already defined - Reduce visual toggles to focus only on components you actively use ----------------------------------------------------------------------------------------------- OPERATIONAL NOTES AND LIMITATIONS ----------------------------------------------------------------------------------------------- - All HTF logic finalizes on bar close - Session times use New York time - Some inputs exist for future expansion but may be inactive - Performance depends on chart density and enabled features - No strategy tester or automated execution module is included ----------------------------------------------------------------------------------------------- ORIGINALITY AND ATTRIBUTION ----------------------------------------------------------------------------------------------- 2022 Model Pro+ | ICTKESIK integrates multiple independent systems into a unified engine: - Liquidity and session tracking - Sequential model validation - HTF PD Array delivery mapping - SMT divergence confirmation - Structured entry and limit logic - Discipline-enforcing checklist workflow Core concepts such as liquidity sweeps, fair value gaps, PD Arrays, SMT divergence, and market structure are widely taught within ICT-style education. This implementation was designed and engineered by TakingProphets and authored for TradingView publication by TakingProphets. ----------------------------------------------------------------------------------------------- TERMS AND DISCLAIMER ----------------------------------------------------------------------------------------------- This indicator is provided for educational and analytical purposes only. It does not provide financial advice, predictions, or guarantees. All trading decisions remain the responsibility of the user. Use of this script implies agreement with TradingView’s Terms of Use. ----------------------------------------------------------------------------------------------- ACCESS ----------------------------------------------------------------------------------------------- Access is managed through TradingView’s invite-only framework. Requests are handled directly by TakingProphets.
Pine Script® indicator
by TakingProphets
1
LFWD Watermark + ChecklistLFWD Watermark + Checklist is a simple but powerful trading overlay designed to keep you locked into discipline and execution. This indicator displays: ✅ A customizable motivational watermark at the top-center of your chart ✅ A clean LFWD execution checklist at the bottom-right ✅ Adjustable text sizing for both the watermark and checklist ✅ Fully customizable text and background colors to match your chart theme The goal is to keep traders focused on process over emotion, and to reinforce the key execution principles every time a setup appears. LFWD Checklist Includes: 1. Momentum & Intent 2. Liquidity Grab 3. Break of Structure 4. Supply or Demand 5. Time and Price This tool is best used as a daily reminder that consistency is built through repetition and discipline. LFWD — Discipline Builds Everything.
Pine Script® indicator
by lfwd
Volume-Range Anomaly Breakout [AlgoPoint]The Volume-Range Anomaly (VRA) Breakout system is a specialized trading tool designed to detect "Absorption" and "Hidden Institutional Activity" in the market. Unlike traditional trend indicators that lag behind price, this script focuses on the relationship between Effort (Volume) and Result (Price Range) to identify explosive moves before they happen. 1. The Underlying Logic (VRA Theory) In a normal market environment, high volume should result in a large price range (a big candle). However, anomalies occur when: - Volume is Extremely High (High Effort) - Price Range is Extremely Low (Low Result) What does this mean? This specific anomaly indicates that "Smart Money" or large institutions are absorbing liquidity using passive Limit Orders. They are aggressively buying or selling, but they are preventing the price from moving to accumulate a position without slippage. This is often called " Squat " behavior or " Absorption. " When this compression phase ends, the price typically explodes (Breakout) in the direction of the dominant institutional pressure. 2. How It Works The indicator operates in three distinct phases: 1. Detection Phase (The Anomaly): - The script calculates Relative Volume (RVOL) and Relative Range (R-Range) over a user-defined lookback period. - If Volume > Threshold AND Range < Threshold , the bar is identified as a " Whale Candle " and colored PURPLE. This signifies hidden activity. 2. Setup Phase (The Trap): - Once a Purple Candle is detected, the script automatically draws dynamic Support (Green Dotted) and Resistance (Red Dotted) lines based on that candle's High and Low. - These lines represent the "Battle Zone" where the absorption took place. 3. Execution Phase (The Breakout): - The script waits for a confirmed candle CLOSE outside of this zone. - BUY Signal : Price closes above the Whale Candle's High. - SELL Signal : Price closes below the Whale Candle's Low. 3. How to Use This is a complete breakout system. Step 1: Wait for the Setup (Purple Bar) When a purple bar appears, do not enter immediately. This is a warning that volatility is compressing. Step 2: Wait for the Breakout (Signal) Green Label: Enter a Long position when the price confirms a breakout above the resistance line. Red Label: Enter a Short position when the price confirms a breakout below the support line. Step 3: Risk Management (Stop Loss) For Longs: The invalidation level (Stop Loss) is the Bottom of the Purple Candle (Green dotted line). For Shorts: The invalidation level (Stop Loss) is the Top of the Purple Candle (Red dotted line). 4. Settings - Lookback Period: The window used to calculate average volume and range (Default: 20). - Volume Threshold: How many times higher than the average must the volume be? (Default: 1.5x). - Range Compression: How compressed must the candle be relative to the average? (Default: 0.8x - meaning 80% of average size or smaller). - Breakout Window: How many bars after the anomaly should the script wait for a breakout before canceling the setup? (Default: 5). 5. Alerts The script includes 2 custom alert conditions for automation: - Whale BUY Breakout: Triggers on a confirmed upside breakout. - Whale SELL Breakout: Triggers on a confirmed downside breakout.
Pine Script® indicator
by Iamalala
2
BlueSkyTerritory1️⃣ TradingView — Public Script Description (Legally safe / transparent / non-provocative) BlueSkyTerritory BlueSkyTerritory is a multi-timeframe volatility structure indicator designed to highlight periods of compression (price balance) and expansion (price movement) using widely known, non-proprietary mathematical concepts. This script is built entirely from: Bollinger Bands Keltner Channels ATR-based volatility calculations Standard multi-timeframe analysis All calculations rely exclusively on price and volatility data provided by TradingView. What this indicator does Identifies volatility compression (price coiling) Highlights potential expansion regimes as compression unwinds Allows two independent timeframes per instance (2TF) Supports stacking multiple instances for top-down analysis Uses confirmed (non-repainting) values for stability This tool is intended for context, structure, and regime awareness, not as a standalone trading signal. Important clarifications This script does not use options chain data This script does not calculate Gamma, GEX, dealer positioning, or order-flow This script does not pull any external or proprietary data This script does not attempt to replicate or replace true options-based gamma models TradingView’s platform does not provide real-time, full-chain options gamma exposure to Pine Script. Any claims of selling “live GEX / gamma” scripts directly inside TradingView should be treated with caution. Development note This indicator was developed solely using ChatGPT as a coding assistant, based on public, well-documented volatility math and TradingView’s Pine Script documentation. No proprietary source code, private indicators, or restricted datasets were used or referenced in its creation. Disclaimer This indicator is for educational and analytical purposes only. It does not constitute financial advice, trading recommendations, or guaranteed outcomes.
Pine Script® indicator
by cunderwood51
AssistantA comprehensive technical analysis indicator combining three powerful tools for price action trading: 1. Fractal Detection Identifies 3-candle and 5-candle fractals (Williams Fractals) Marks swing highs and lows with customizable triangle markers 3-candle fractals: Orange with 10% opacity 5-candle fractals: Black with 50% opacity Can be toggled on/off independently 2. No-Wick Candles Detection Highlights candles with minimal or no wicks (shadows) Identifies rejection-free price action Adjustable wick threshold (default: 0% for perfect body candles) Marked with red crosses (10% opacity) Useful for spotting strong momentum and institutional orders 3. Fair Value Gap (FVG) Alerts Detects bullish and bearish imbalances (gaps between candles) Bullish FVG: when low > high Bearish FVG: when high < low No visual boxes - alerts only for clean charts Customizable alert notifications for both directions Features: Overlay indicator - displays directly on price chart Fully customizable: enable/disable each component independently Organized settings groups for easy configuration Alert conditions for FVG formations Minimal visual clutter while providing maximum information
Pine Script® indicator
by produmanni
Top score Scalping 3-Signal Dashboard v2If you are using this indicator in an international environment or want to understand the English terminology used in professional trading, here is a guide on how to use and interpret the **Scalping 3-Signal Dashboard v2**. --- ## 1. Understanding the Dashboard Logic The dashboard works on a **Confluence Model**. Instead of following one indicator blindly, it looks for "agreement" between three different types of analysis: * **Trend Analysis (EMA):** Shows the direction of the market. * **Momentum Analysis (RSI):** Shows the strength of the move. * **Volume Analysis (VFI):** Shows if "Big Money" is supporting the move. ### 📊 Score Interpretation The **Verdict** row is your final decision maker: * **"BUY ZONE" (Score 60% - 100%):** High probability bullish setup. All or most signals are aligned. * **"SELL ZONE" (Score 60% - 100%):** High probability bearish setup. * **"WAIT":** The market is in a **Conflict State**. (e.g., Price is going up, but volume is decreasing). **Do not trade.** --- ## 2. Trading Terms & Actions When using this tool, you will encounter these English terms in the settings and alerts: | English Term | Definition / Action | | --- | --- | | **Bullish** | Market is going up (Look for Buy). | | **Bearish** | Market is going down (Look for Sell). | | **Crossover** | When the Fast EMA crosses the Slow EMA (Trend change). | | **Neutral** | RSI is near 50; no clear strength in either direction. | | **Probability (Prob)** | The calculated confidence level of the signal. | | **Trigger** | The exact moment the "BUY" or "SELL" label appears. | --- ## 3. How to Execute a Trade (Step-by-Step) ### **Step 1: Check the Verdict** Wait for the **"BUY ZONE"** or **"SELL ZONE"** to appear on the dashboard. Do not enter if the dashboard says **"WAIT"**. ### **Step 2: Verify the Signal (The Arrow)** Look for the **Green Label (BUY)** below the candle or the **Red Label (SELL)** above the candle. * *Tip:* The best signals happen when the labels appear just as the EMAs cross each other. ### **Step 3: Set Your Exit (Risk Management)** Since this script doesn't provide exit targets, use these standard English trading rules: * **Stop Loss (SL):** Place it below the recent "Swing Low" (for Buys) or above the "Swing High" (for Sells). * **Take Profit (TP):** Aim for a **Risk/Reward ratio of 1:1.5 or 1:2**. --- ## 4. Optimization Settings (Inputs) If you want to change the settings, here is what the English labels mean: * **EMA Fast/Slow Length:** Adjusts how sensitive the trend lines are. * **Min Probability:** The threshold for showing arrows. If you want fewer, more accurate signals, increase this to **70%**. * **Weight Settings:** How much "importance" you give to each indicator. If you trust Volume more than RSI, increase the **VFI Weight**. --- ### 💡 Pro Tip for XAUUSD (Gold) Gold is highly volatile. In English, we call this **"Market Noise."** To avoid being "stopped out" by noise, it is best to use this indicator during high-volume sessions: 1. **London Session** (starts ~8:00 AM GMT) 2. **New York Session** (starts ~1:00 PM GMT) **Would you like me to translate the labels inside the script's code into English so the dashboard itself displays English text?**
Pine Script® indicator
by thanachaiyo27
Dynamic Extreme Channels & Reversals [LuxAlgo]The Dynamic Extreme Channels & Reversals indicator provides an adaptive framework for identifying price extremes and trend shifts through self-adjusting boundaries. Unlike static channels, this tool dynamically resets its levels based on price activity, offering a responsive environment for trend following and mean-reversion analysis. 🔶 USAGE The indicator functions by tracking the highest highs and lowest lows over a specific window. When the price fails to make a new extreme within the defined period, the boundaries contract toward the current price action. This behavior creates a "breathing" channel that adapts to market volatility and consolidation phases. Users can toggle between two primary viewing modes: Channel Mode: Displays the upper, lower, and midline boundaries. This is ideal for identifying overextended price levels and potential mean-reversion targets. Trailing Stop Mode: Simplifies the visual output into a single step-line that tracks the lower boundary during uptrends and the upper boundary during downtrends, serving as a dynamic exit or trend-following level. 🔹 Reversal Signals The script includes built-in reversal signals designed to catch "blow-off" tops or "panic" bottoms where price briefly exceeds a boundary but immediately loses momentum. Bullish Signal (▲): Occurs when the price hits a new lower extreme (LL) but the current candle manages to peak back above the channel midline. Bearish Signal (▼): Occurs when the price hits a new higher extreme (HH) but the current candle manages to drop below the channel midline. The sensitivity and frequency of these signals are directly influenced by the Lookback Period and Reset Alpha % : Lookback Period: A shorter lookback causes the channel boundaries to "reset" more frequently. This results in tighter channels and more frequent reversal signals, as the midline becomes easier to cross. A longer lookback creates wider, more stable channels, resulting in fewer, high-conviction signals. Reset Alpha %: This determines how aggressively the levels move toward the price after the lookback period expires. A high Alpha (e.g., 100%) creates sharp adjustments, which can lead to rapid signal generation during choppy markets. A lower Alpha creates smoother transitions, filtering out noise in the reversal logic. 🔶 DETAILS The core logic avoids standard rolling maximum/minimum functions to provide a more "sticky" boundary. Instead of the channel edge constantly moving with every bar, it remains fixed until a new extreme is reached or the "timer" (Lookback Period) runs out. When the timer runs out, the level interpolates toward the price based on the Reset Alpha. This simulates a decaying memory of past price extremes, ensuring the indicator remains relevant even after long periods of sideways movement. 🔶 SETTINGS 🔹 Core Settings Lookback Period: The number of bars the indicator waits before adjusting an extreme level if no new high/low is found. Reset Alpha %: Controls the intensity of the level adjustment. 100% resets the level entirely to the current price, while 0% keeps it static. Trailing Stop Mode: Switches the display from a three-line channel to a single trend-following stop line. 🔹 Visuals Show Reversal Signals: Toggles the visibility of the triangle reversal labels. Upper Color: Customizes the color and transparency of the upper boundary. Midline Color: Customizes the color and transparency of the center line. Lower Color: Customizes the color and transparency of the lower boundary. 🔹 Dashboard Dashboard: Toggles the on-screen information panel. Position: Controls the location of the dashboard on the chart. Size: Controls the scale of the dashboard text and cells.
Pine Script® indicator
by LuxAlgo
3
Swing High/Low Wick Zones - Support & Resistance IndicatorOverview The Swing High/Low Wick Zones indicator is a powerful visual tool designed to help traders identify true support and resistance levels based on price action. By highlighting key swing points and their rejection zones (wicks), this indicator provides clear, actionable insights into where the market has historically reversed. How It Works This indicator automatically detects swing highs and swing lows on your chart using a customizable pivot detection algorithm. When a swing point is identified, the script: 1. Marks the swing point with a colored dot for easy identification 2. Draws a box from the wick extreme to the candle body, highlighting the true rejection zone 3. Extends a horizontal line to visualize the key price level going forward Key Features ✅ True Support & Resistance Zones - Focuses on wicks (not just candle bodies) to identify real rejection points where price action reversed ✅ Visual Clarity - Boxes highlight the exact price zones where buyers or sellers stepped in, making it easy to spot critical levels at a glance ✅ Fully Customizable - Adjustable swing detection sensitivity (swing length) - Customizable box and line extension lengths - Independent color controls for swing highs and swing lows - Adjustable opacity for boxes and lines - Customizable marker colors and sizes ✅ Clean, Professional Display - Organized visual elements that don't clutter your chart while providing essential market structure information Use Cases 📊 Day Trading - Identify intraday support and resistance levels for precise entries and exits 📈 Swing Trading - Spot key reversal zones and market structure for multi-day position trades 📉 Trend Analysis - Understand market structure and where institutional players are defending levels 🎯 Entry/Exit Planning - Use the highlighted zones to set stop losses and take profit targets Settings Swing Detection - Swing Length: Controls sensitivity (lower = more swings, higher = only major swings) Boxes - Extension length in bars - Separate colors for highs and lows - Adjustable opacity (0-100) - Border color customization Lines - Toggle on/off - Extension length in bars - Separate colors for swing high and swing low lines - Adjustable opacity (0-100) - Line width (1-5) Markers - Color customization - Size options (Tiny, Small, Normal) Why This Indicator is Different Unlike traditional support/resistance indicators that only mark horizontal lines at swing points, this indicator emphasizes the **actual rejection zone** (the wick area) where price was tested and reversed. This provides traders with a more accurate representation of where supply and demand dynamics actually shifted. Best Practices - Use higher swing lengths (7-10) for major structural levels - Use lower swing lengths (3-5) for short-term trading opportunities - Combine with volume analysis for confirmation - Watch for price reactions when it returns to these zones - Use the boxes to identify potential support-turned-resistance (and vice versa) Perfect For: - Identifying key price levels - Planning trade entries and exits - Understanding market structure - Setting stop losses and take profits - Spotting potential breakout/breakdown zones --- Note: This indicator works on all timeframes and all markets (stocks, forex, crypto, futures, etc.). Experiment with the settings to find what works best for your trading style! ---
Pine Script® indicator
by ajd77
IMB Mitigation Alert (15M+) by TradeWithForbesIMB Mitigation Alert (15M+) — by TradeWithForbes This indicator is designed to help traders track and receive alerts when ICT-style Imbalance (IMB) levels are created and later mitigated (revisited) by price. Using the classic 3-candle ICT imbalance definition, the script automatically scans selected higher timeframes (15M and above) and stores the most recent bullish and bearish imbalance levels per timeframe. Tap Alert: triggered when price wicks into the imbalance level Close Confirmation Alert: triggered when a candle closes beyond the imbalance level after mitigation Session-Based Filtering (GMT+1) Tokyo, London, New York sessions included Option to monitor all sessions or only selected sessions
Pine Script® indicator
by Risk2Rewards
Target RadarTarget Radar filters entries with a confidence gate, then maps the next objective using pivot-cluster Support/Resistance pools. It’s built for traders who want fewer, cleaner signals and a clear target level instead of guessing exits. What you get on the chart 🔵 Support pools (pivot-low clusters) 🟠 Resistance pools (pivot-high clusters) 🟢 Long signal (▲) when the setup passes filters + score threshold 🔴 Short signal (▼) when the setup passes filters + score threshold Projection band (expected move with uncertainty half-width) Forward box (next-horizon projected zone) Target line + label (best nearby pool in the forecast direction + score) How to read the Support/Resistance pools Target Radar doesn’t draw random lines. It builds price pools from confirmed pivots and clusters them: A pivot forms after pivotLen bars confirm (that’s the confirmation delay by design). Levels within ATR * mergeATR merge into one pool. Strength = number of merged touches. Thickness/opacity = strength (stronger pools stand out). Legend 🔵 Blue = Support pools 🟠 Orange = Resistance pools Thick + less transparent = stronger level These colors are reserved for structure, not signal direction. What makes this different Most tools do signals or support/resistance or volatility bands. Target Radar combines them into a single workflow: Directional forecast (up/down pressure) Uncertainty gate (trade conditions vs noise) Structure-based target (where price is most likely to react next) So you’re not just taking entries—you’re trading entry + environment + destination. The math behind it (simple + transparent) 1) Forecast Engine (direction) Each component is normalized with a z-score over lookback: trendZ = zscore((EMA10 − EMA20) / EMA20) momZ = zscore(RSI14 − 50) volZ = zscore(ATR14 / close) (penalty) vprZ = zscore(log(SMA(upVol)/SMA(downVol))) Weighted blend: rawScore = wTrend*trendZ + wMom*momZ − wVol*volZ + wVpr*vprZ Bounded and scaled: bound(x) = x / (1 + |x|) forecastRet = bound(rawScore) * (ATR/close) * retScale 2) Uncertainty band (confidence gate) The script measures recent forecast error: realRet = ln(close / close ) residual = |realRet − forecastRet | Half-width uses rolling error stats: halfWidth = max(mean(residual) + zMult*stdev(residual), minHW) Interpretation: Small halfWidth = stable environment Large halfWidth = unstable environment (signals blocked if enabled) 3) Target scoring (structure + forecast alignment) The target is the nearest pool in the forecast direction, then scored by: distance fit vs the uncertainty band whether the level sits inside the projection zone pool strength bonus Best practices (how traders actually use it) New traders Start with Breakout or EMA Cross Keep filters ON: Require Forecast Alignment ✅ Block High Uncertainty ✅ Match Regime to Mode ✅ Use the dashed target as the first objective. Experienced traders Use Target Radar as a validation + targeting layer: Your setup triggers → Target Radar decides if conditions are tradable and where the next level sits. Raise minScore to reduce signals and tighten quality. Use the pool strength (thicker/clearer lines) as a structure filter. Mode ↔ Regime pairing TREND regime: Breakout, EMA Cross RANGE regime: Mean Reversion CHAOS regime: filtered out when regime gate is enabled What it is / what it isn’t It is: a confidence-gated signal filter + structure target mapper. It isn’t: a full strategy/backtest engine—use Strategy Tester if you want full trade simulation. Alerts Long signal Short signal High uncertainty
Pine Script® indicator
by Finntech1
Silver Strike: Elite Trap Hunter & Trend Guardian"The H1/M5 Liquidity Engine" Master the Silver Markets with Precision Trap Detection Trading Silver on the 5-minute timeframe requires more than just moving averages; it requires an understanding of Liquidity Traps and Session Structure. Silver Strike is an institutional-grade indicator designed to identify "Sweeps"—false breakouts of the previous hour’s highs and lows—giving you the edge to trade reversals where others get stopped out. Key Features H1 Structure Mapping: Automatically tracks the high, low, and midpoint of the previous hour. On a 5m chart, these are the "battleground" levels where institutional liquidity rests. The "Sweep" Engine: Real-time visual alerts (⚔️ SWEEP) when price pierces an H1 level and immediately closes back within range. This is a classic "trap" signal for high-probability reversals. Dual-Layer Trend Guard: Includes a built-in HUD (Heads-Up Display) that tracks the 4H Macro Trend and 1H Session Trend using EMA filters. It instantly tells you if a Long or Short is "SAFE" or "RISKY" based on higher timeframe alignment. Smart Noise Filter: Custom candle coloring logic that "grays out" indecisive price action, highlighting only the bars that matter for your bias. Integrated VWAP: Built-in VWAP tracking to ensure you are never trading "too far from the mean" during intraday sessions. Why This Works Silver is notorious for "stop hunts." By focusing on the Hourly High/Low as the primary trap zone, this script filters out the 5-minute noise and focuses on where the "smart money" is actually moving. Best Used For: Asset: Silver (XAGUSD / XAG), Gold (XAU), or volatile Indices. Timeframe: 5-Minute Chart (Primary) with 1-Hour Structure. Style: Scalping, Day Trading, and Mean Reversion.
Pine Script® indicator
by chyg8823
H4 Color Change Bias (Correct Final)Trading is the active buying and selling of financial instruments—such as stocks, currencies, commodities, and derivatives—to generate short-term profits from price fluctuations. Unlike long-term investing, traders capitalize on both rising (bullish) and falling (bearish) markets using technical analysis, market research, and risk management strategies. Key aspects of trading include: Financial Instruments: Traders deal in various markets, including stock markets (shares), foreign exchange (Forex), commodities (gold, oil), and cryptocurrencies. Goal: The primary objective is to buy at a lower price and sell at a higher price, or vice versa (short selling) to make a profit. Timeframe: Trading is typically fast-paced, with positions held for minutes, hours, days, or weeks, as opposed to years.
Pine Script® indicator
by michalnam16
Volume Delta Bubble + Absorption📊 Overview A sophisticated volume analysis tool that identifies unusual buying/selling pressure and detects absorption patterns in real-time. This indicator combines statistical volume analysis with smart price action detection to reveal hidden market dynamics. 🔍 Key Features 1. Unusual Volume Detection Statistical Z-Score Analysis: Flags statistically significant volume spikes using adaptive thresholds Dual Detection Modes: Choose between adaptive (Z-Score) or fixed volume threshold methods Volume Delta Calculation: Compares buying vs selling volume based on price movement 2. Smart Absorption Detection 🎯 Directional Absorption: Identifies WHO is absorbing whom: B-ABS: Bullish Absorption (Buyers absorbing selling pressure) S-ABS: Bearish Absorption (Sellers absorbing buying pressure) Context-Aware Logic: Uses price rejection/support levels to determine absorption direction Streak Tracking: Monitors consecutive absorption bars for stronger signals 3. Visual Features 🎨 Color-Coded Bubbles: Green: Bullish volume Red: Bearish volume Light Green: Bullish absorption Light Red: Bearish absorption Smart Placement: Automatically avoids label overlapping Multiple Styles: Choose between circle or box label styles Background Highlighting: Absorbing bars are highlighted for quick identification 4. Information Display 📈 Real-time Stats: Volume, Z-Score, and percentage above average Info Table: Shows absorption trend, current Z-Score, and average volume Detailed Tooltips: Hover over bubbles for comprehensive information Absorption Markers: Small triangles indicate absorption bars ⚙️ How It Works Volume Delta Calculation The indicator calculates the net difference between buying and selling volume: Volume Delta Mode: Uses lower timeframe close vs open Candle Delta Mode: Uses current timeframe close vs open Neutral Handling: Accounts for doji candles with partial attribution Absorption Logic Detects when high volume fails to move price significantly: Small Body Check: Candle body < 60% of average (configurable) High Volume: Volume > 1.5x average (configurable) Direction Detection: Bullish Absorption: High selling volume but price holds above previous low Bearish Absorption: High buying volume but price rejects below previous high Statistical Analysis Z-Score Calculation: (Current Volume - Average Volume) / Standard Deviation Adaptive Thresholding: Default Z-Score ≥ 2.0 (2 standard deviations) Historical Comparison: Uses configurable lookback period (default: 60 bars) 🛠️ Customization Options Detection Settings Calculation Source: Volume Delta or Candle Delta Lower Timeframe: Analyze volume from faster timeframes Detection Mode: Adaptive (Z-Score) or Fixed volume threshold Lookback Period: 10-200 bars for statistical calculations Visual Settings Bubble Opacity: 0-100% transparency Label Styles: Circle or box format Smart Placement: Auto-adjust to avoid overlap Color Customization: Full control over all color schemes Absorption Settings Body Size Ratio: Adjust sensitivity (0.1-1.0) Absorption Labels: Toggle B-ABS/S-ABS labels Background Highlight: Toggle bar highlighting 📊 Output Information Each bubble displays: Volume: Formatted in millions (e.g., "1.25M") Z-Score: Statistical significance (e.g., "Z:2.45") Direction: Color-coded bullish/bearish Absorption Type: B-ABS or S-ABS when applicable 🎯 Use Cases For Traders: Breakout Confirmation: Validate breakouts with volume support Reversal Signals: Spot absorption at key support/resistance levels Trend Continuation: Identify accumulation/distribution patterns Risk Management: Avoid false breakouts with volume context For Analysts: Volume Profile Analysis: Understand institutional activity Market Structure: Identify hidden support/resistance Order Flow: Track buying/selling pressure in real-time Statistical Edge: Use Z-Score for objective volume assessment ⚡ Pro Tips Combine with Price Action: Use absorption signals at key S/R levels Multi-Timeframe: Lower timeframe provides early signals Confirmation: Wait for candle close before acting on signals Risk Management: Use smaller position sizes on absorption signals 🔧 Technical Details Built With: Pine Script v5 Maximum Labels: 500 (configurable) Overlay: Yes (displays on main chart) Calculation: On bar close (most accurate) Performance: Optimized for real-time use 📱 Alert Conditions Unusual Volume Delta: Triggers on statistically significant volume Absorption Detected: Alerts when absorption pattern forms Customizable: Set your own threshold levels 🎨 Design Philosophy Clarity: Minimal, clean visual presentation Information Density: Maximum insight with minimum clutter Customizability: Every visual element is adjustable User Experience: Intuitive for both beginners and professionals 📚 Educational Value This indicator teaches: Volume-price relationship Statistical volume analysis Absorption and distribution concepts Order flow interpretation Multi-timeframe analysis 🤝 Community Benefits Open Logic: Transparent calculations for peer review Educational: Helps traders understand volume dynamics Customizable: Adapts to different trading styles Reliable: Based on proven volume analysis principles 🚀 Why This Indicator? Smart Detection: Goes beyond basic volume analysis Directional Clarity: Clearly shows who's in control Statistical Rigor: Uses Z-Score for objective signals Professional Grade: Suitable for institutional analysis Beginner Friendly: Clear visuals and explanations Recommended Settings by Timeframe: Scalping (1-5 min): Lower TF = "1", Z-Score = 2.5 Day Trading (15-60 min): Lower TF = "5", Z-Score = 2.0 Swing Trading (4H-Daily): Lower TF = "60", Z-Score = 1.8 Perfect for: Day traders, swing traders, volume analysts, institutional traders, and anyone wanting to understand the true story behind price movements through volume analysis. Combine with price action and support/resistance levels for best results!
Pine Script® indicator
by iamsammy
Radiant Mean Reversion Channels [Pineify]Radiant Mean Reversion Channels - HMA & ATR Normalized Oscillator with Dynamic Gradient Signals The Radiant Mean Reversion Channels indicator is a volatility-normalized oscillator designed to detect high-probability mean reversion setups across any market and timeframe. It transforms a Hull Moving Average (HMA) based channel into a bounded 0–100 oscillator, making it easy to spot when price has stretched to statistical extremes and is likely to revert toward equilibrium. By combining the low-lag properties of HMA with the adaptive volatility measurement of ATR, this indicator provides fast, accurate overbought and oversold readings without the noise common in traditional oscillators. Key Features HMA-based dynamic mean for ultra-low-lag price tracking ATR-driven volatility bands that automatically adapt to market conditions Normalized 0–100 oscillator scale for consistent interpretation across all instruments WMA smoothing to reduce whipsaws while preserving signal responsiveness Dynamic gradient coloring that shifts from bearish to bullish based on oscillator value Clearly defined overbought (80/90) and oversold (10/20) zones with visual fills Automatic buy and sell signal generation on mean reversion crossovers Built-in alert conditions for seamless trading automation How It Works The indicator follows a five-step calculation pipeline that converts raw price action into a clean, actionable oscillator: Dynamic Mean via HMA: The center of the channel is calculated using a Hull Moving Average of the selected source over the specified channel length. HMA was chosen specifically because it dramatically reduces lag compared to SMA or EMA while maintaining a smooth curve, giving traders a more accurate real-time estimate of the current mean price. Volatility Measurement via ATR: The Average True Range over the same lookback period measures current market volatility. This value is scaled by a user-defined Band Multiplier to create the channel width. ATR naturally adapts—widening during volatile conditions and tightening during consolidation—ensuring the channel remains contextually appropriate. Channel Construction: The upper and lower bands are formed by adding and subtracting the scaled ATR from the HMA mean. This creates a dynamic envelope that contains most price action under normal conditions. Normalization to Oscillator: The price position within the channel is normalized using the formula: (Price - Lower Band) / (Upper Band - Lower Band) × 100. This maps the channel into a 0–100 scale where 0 represents the lower band, 100 represents the upper band, and 50 represents the mean. Values above 100 or below 0 indicate price has exceeded the channel boundaries. WMA Smoothing: The raw oscillator is smoothed using a Weighted Moving Average, which gives more weight to recent readings. This reduces noise and false signals while keeping the oscillator responsive to genuine shifts in momentum. Trading Ideas and Insights Mean reversion is a core principle in quantitative trading—prices tend to oscillate around a fair value and snap back after stretching too far. The Radiant Mean Reversion Channels quantifies this behavior by measuring exactly where price sits within its volatility envelope: When the oscillator rises above 80, price is near the upper channel band—a statistically overbought condition where selling pressure often emerges When the oscillator falls below 20, price is near the lower channel band—an oversold zone where buyers tend to step in The extreme levels at 90 and 10 represent deeper extensions where reversion probability increases significantly Signal generation occurs when the oscillator crosses back inside these zones, timing the actual beginning of the reversion move rather than trying to catch the exact top or bottom This method excels in range-bound and mean-reverting markets. In trending markets, the signals can be used to identify pullback entry opportunities in the direction of the prevailing trend. How Multiple Indicators Work Together The Radiant Mean Reversion Channels integrates three distinct technical concepts into a cohesive analytical framework: Hull Moving Average (Mean): HMA serves as the dynamic center of the channel. Its unique double-smoothed, lag-compensated formula (using nested WMAs with square root period adjustment) provides a mean line that reacts to trend changes significantly faster than traditional averages. This ensures the "fair value" baseline stays current with evolving market conditions. Average True Range (Volatility): ATR measures real market volatility by accounting for gaps and true trading ranges—not just close-to-close changes. As the volatility component, ATR automatically adjusts the channel width. During high-volatility periods, the channel expands so that only truly extreme moves trigger signals. During low-volatility periods, it contracts to remain sensitive, preventing missed opportunities. Weighted Moving Average (Smoothing): The WMA applied to the normalized oscillator gives heavier weight to the most recent data points. This produces a smoother output than SMA while introducing less lag than EMA for short smoothing periods, striking an optimal balance between signal clarity and timeliness. These three components work together synergistically: HMA tracks where price should be, ATR defines how far is too far, and WMA ensures the final oscillator reading is clean and reliable. Unique Aspects HMA-ATR Combination: Most channel-based oscillators use Bollinger Bands (SMA + Standard Deviation). By pairing HMA with ATR, this indicator benefits from lower lag on the mean and a volatility measure that accounts for gaps and true range—producing faster and more robust channel boundaries Dynamic Gradient Visualization: The oscillator line smoothly transitions color from bearish to bullish across the 0–100 range using a continuous gradient. This provides immediate visual feedback on market conditions without requiring traders to reference fixed levels Dual-Zone Architecture: The indicator features both standard zones (20/80) and extreme zones (10/90) with distinct visual fills, helping traders differentiate between moderate and extreme conditions at a glance Normalization Advantage: By converting the channel into a normalized oscillator, traders can compare readings across different assets and timeframes on a consistent scale, making it versatile for multi-market analysis How to Use Add the indicator to your chart—it displays as a sub-chart oscillator below the main price chart Monitor the oscillator's position: readings above 80 indicate overbought conditions, below 20 indicate oversold conditions Watch for buy signals (circles at the bottom) when the oscillator crosses back above 20 from oversold territory, indicating a bullish mean reversion is underway Watch for sell signals (circles at the top) when the oscillator crosses back below 80 from overbought territory, signaling a bearish mean reversion Use the gradient color intensity to quickly assess momentum—greener tones indicate bullish positioning while redder tones indicate bearish positioning Combine with trend analysis: in uptrends, prioritize buy signals near the 20 level; in downtrends, prioritize sell signals near the 80 level Enable alerts using the built-in alert conditions to receive notifications when reversion signals trigger Customization Channel Length (default: 21): Controls the lookback period for both the HMA mean and ATR volatility calculation. Shorter values increase sensitivity for scalping; longer values provide smoother readings for swing trading Band Multiplier (default: 2.0): Adjusts the channel width by scaling the ATR value. Higher values create wider channels, producing fewer but higher-confidence signals. Lower values narrow the channel for more frequent signals Oscillator Smoothing (default: 3): Controls the WMA smoothing period applied to the raw oscillator. Increase this value in choppy markets to filter out noise; decrease it in clean-trending markets for faster signals Source (default: Close): Select the price source for all calculations. Alternatives like HL2 or HLC3 can provide smoother inputs Bullish/Bearish/Neutral Colors: Fully customizable color scheme for the gradient, zones, and signal markers to match your preferred chart theme Conclusion The Radiant Mean Reversion Channels indicator offers traders a refined approach to mean reversion analysis by combining the speed of Hull Moving Average, the adaptive volatility measurement of ATR, and intelligent WMA smoothing into a single normalized oscillator. Its gradient visualization, clearly defined reversion zones, and automated signal generation make it a practical and visually intuitive tool for identifying high-probability reversal points. Whether used for timing entries in range-bound markets or catching pullbacks in trending conditions, this indicator brings clarity and precision to mean reversion trading strategies.
Pine Script® indicator
by Pineify
Internal vs External Liquidity Zones [Alpha Extract]A sophisticated dual-timeframe market structure visualization system that identifies and maps internal (short-term) and external (long-term) liquidity levels with comprehensive Break of Structure (BOS) and Change of Character (CHoCH) detection across both timeframes. Utilizing pivot-based zone creation with ATR-scaled heights and sweep classification, this indicator delivers institutional-grade liquidity mapping distinguishing between major swing liquidity (external) and minor retracement liquidity (internal) for multi-dimensional market structure analysis. The system's hierarchical structure framework combined with objective arrow projection and state-based zone coloring provides complete smart money concept implementation for advanced order flow trading. 🔶 Understanding Internal vs External Structure External Structure represents major swing points using longer pivot lengths (default 10 bars), identifying significant highs and lows that define the broader market range and trend direction. These are the key levels where large institutional positions likely exist, stop losses cluster, and major trend reversals may occur. External structure breaks (eBOS/eCHoCH) signal significant shifts in market sentiment and often precede sustained directional moves. Internal Structure captures minor swing points within the external range using shorter pivot lengths (default 3 bars), revealing short-term liquidity pools formed during retracements, consolidations, and minor corrections. These represent areas where smaller participants' stops accumulate and where price often reacts before continuing toward external objectives. Internal structure breaks (iBOS/iCHoCH) provide early warning signals and tactical entry opportunities within the broader external trend context. The relationship between internal and external structure creates a hierarchical framework: external zones define the "what" (overall bias and major objectives), while internal zones reveal the "how" (tactical path and entry models). When internal structure breaks bullish while within an external bearish range, it signals potential reversal setup. When internal breaks align with external direction, it confirms trend strength. 🔶 Advanced Dual-Pivot Detection Framework Implements separate pivot calculation systems for external and internal structure with configurable lookback periods optimizing for different swing magnitudes. The system identifies external pivots using extended length capturing major swing extremes, detects internal pivots using compressed length for minor retracement highs/lows, and optionally requires internal pivots occur within current external range boundaries ensuring hierarchical structure coherence. // Dual Structure Detection External_Pivot_High = ta.pivothigh(high, External_Length, External_Length) External_Pivot_Low = ta.pivotlow(low, External_Length, External_Length) Internal_Pivot_High = ta.pivothigh(high, Internal_Length, Internal_Length) Internal_Pivot_Low = ta.pivotlow(low, Internal_Length, Internal_Length) // Optional Range Requirement Valid_Internal = requireInside ? (pivot within ) : true 🔶 BOS and CHoCH Detection System Break of Structure (BOS) occurs when price breaks a recent structure point in the direction of the current trend, confirming trend continuation. The system identifies BOS when: Price breaks above previous high while trend remains bullish (bullish BOS) Price breaks below previous low while trend remains bearish (bearish BOS) Previous structure point hasn't been violated yet Change of Character (CHoCH) signals potential trend reversal when price breaks structure counter to the established trend direction. The system detects CHoCH when: Price breaks above previous high while trend was bearish (bullish CHoCH - reversal signal) Price breaks below previous low while trend was bullish (bearish CHoCH - reversal signal) Both external (e-prefix) and internal (i-prefix) structures generate independent BOS/CHoCH labels, enabling multi-timeframe structure analysis where eCHoCH may signal major reversal while iBOS confirms minor trend within that reversal. 🔶 Intelligent Zone Creation Architecture Features ATR-based or tick-based zone height calculation with separate sizing for internal and external liquidity levels, creating visual boxes centered on pivot points. The system calculates zone dimensions using configurable ATR multiples (default 0.40x) or fixed tick counts, positions zones symmetrically above/below pivot levels, and applies distinct color schemes distinguishing external highs (red), external lows (white), internal highs (cyan), and internal lows (blue). 🔶 Equal High/Low Detection Mode Provides advanced internal zone mode that only creates zones when consecutive internal pivots form equal highs or equal lows within ATR-based tolerance, filtering noise and highlighting significant accumulation/distribution patterns. The system tracks previous internal pivots, compares new pivots against tolerance threshold, creates averaged zone when equality detected, and ignores isolated pivots that don't form patterns, reducing visual clutter while emphasizing institutional liquidity clustering. 🔶 Comprehensive Sweep Classification System Implements three sweep detection modes distinguishing between liquidity grabs and genuine breakouts with state-based zone coloring: Wick Mode: Marks zone as swept when wick touches but close remains outside Close Mode: Requires close through zone for sweep classification Wick+Close Classify Mode: Distinguishes sweeps (S - wick touches, close outside) from breaks (B - close through zone) The system transitions zones through three states: Active (0 - untouched), Swept (1 - liquidity grabbed), Broken (2 - fully breached), applying progressive transparency increases to visually distinguish state changes and enabling traders to identify false breakouts versus genuine structural violations. 🔶 Objective Arrow Projection Framework Features intelligent objective labeling that triggers when internal zones are swept, projecting arrows pointing toward opposite external structure as probable targets. The system generates "->ExtH" labels when internal low swept (suggesting move toward external high) and "->ExtL" labels when internal high swept (suggesting move toward external low), providing smart money concept implementation where internal liquidity grabs often precede runs toward external objectives. 🔶 Dynamic Zone Management System Maintains separate arrays for external and internal zones with configurable history modes and maximum zone limits. The system implements "Latest Only" mode (clears previous external zones of same side when new pivot detected) or "Keep History" mode (preserves all zones up to maximum limit), automatically expires oldest zones when limits reached, and optionally clears all internal zones when new external pivot forms, maintaining clean chart presentation while preserving relevant liquidity context. 🔶 Trend Momentum Scoring Engine Calculates sophisticated trend state using dual-component analysis combining momentum (price change normalized by volatility) with strength (MA separation and slope alignment). The system generates TrendScore objects containing momentum value, strength percentage, direction (-1/0/+1), and confidence score (0-100), uses these scores to classify BOS versus CHoCH by comparing previous and current trend states, and provides objective structural classification beyond simple price level violations. 🔶 Adaptive Zone Extension Logic Implements intelligent right-edge management where active zones extend to current bar but freeze at touch/sweep point when cut-on-touch enabled. The system continuously updates zone right boundaries during active state, locks boundary at bar of first violation, and maintains locked position through subsequent bars, creating visual history of when liquidity was accessed while preventing misleading forward projection of filled zones. 🔶 Multi-State Visual Feedback System Provides comprehensive color and transparency modulation based on zone state with two visual style options. "Soft Fill" mode uses semi-transparent fills with subtle borders, while "Outline" mode displays only colored borders with transparent fills. The system applies progressive transparency increases: Active (light), Swept (medium), Broken (heavy), with independent control over fill and border transparency enabling customization from subtle hints to prominent highlighting. 🔶 Structure Line Visualization Architecture Creates dashed horizontal lines connecting structure break points to current bar with BOS/CHoCH labels positioned at midpoint between break bar and detection bar. The system draws lines at exact structure level, applies color coding matching bullish (green) or bearish (red) classification, and uses compact labels (eBOS, eCHoCH, iBOS, iCHoCH) for instant structural event identification without cluttering chart with excessive text. 🔶 Performance Optimization Framework Utilizes efficient array management with configurable maximum limits (default 120 zones each type), automatic cleanup of oldest elements, and optional hiding of filled zones reducing active object count. The system includes intelligent state tracking minimizing recalculation overhead, optimized sweep detection using simple comparison logic, and streamlined zone update loops processing only active zones for consistent performance across extended sessions. 🔶 Why Choose Internal vs External Liquidity Zones ? This indicator delivers institutional-grade market structure analysis through hierarchical dual-timeframe liquidity mapping with comprehensive BOS/CHoCH detection. The distinction between external (major swing) and internal (minor retracement) structure provides complete smart money concept implementation where external zones define bias and targets while internal zones reveal tactical entries and stop hunts. The system's sweep classification distinguishes liquidity grabs from genuine breakouts, objective arrows project probable targets based on internal sweeps toward external levels, and comprehensive BOS/CHoCH labeling across both timeframes enables multi-dimensional structural analysis. Perfect for order flow traders implementing ICT concepts, liquidity-based strategies, or market maker models in cryptocurrency, forex, and futures markets where understanding the relationship between internal accumulation and external objectives is essential for high-probability trade location and proper risk management.
Pine Script® indicator
by AlphaExtract