Inizia

POC

Anchored Clusters Volume Profile [LuxAlgo]The Anchored Clusters Volume Profile indicator utilizes K-Means clustering to categorize historical price action into distinct groups within a user-defined range and generates individual volume profiles for each detected cluster. This tool provides a unique perspective on volume distribution by isolating price behaviors based on proximity rather than strictly chronological order. 🔶 USAGE The indicator identifies "clusters" of price activity within a selected range defined by a starting and ending date. Each cluster is assigned a unique color and its own horizontal volume profile, allowing traders to see where liquidity is most concentrated within specific price regimes. 🔹 Identifying Institutional Zones Traders can use the Point of Control (POC) of high-volume clusters to identify significant institutional interest. Because the K-Means algorithm groups price action by density rather than time, a cluster's POC often represents a "fair value" level where significant exchange occurred. These dashed POC lines frequently act as robust support or resistance levels when price returns to them in the future. 🔹 Market Regime Detection By observing the vertical distribution and overlap of clusters, traders can identify market phases. Overlapping clusters with high volume often indicate accumulation or distribution phases (sideways markets), whereas distinct, vertically separated clusters with lower volume gaps between them suggest a trending environment. A shift from multiple overlapping clusters to a new, isolated cluster can signal a breakout or the start of a new trend. 🔹 Precision Entry & Exits Cluster boundaries and POC lines provide concrete levels for trade management. An entry can be sought when price retests a high-volume cluster POC, while stops can be placed outside the total price range of that specific cluster (the area covered by its volume profile). Conversely, targets can be set at the POC of the next major cluster above or below current price action. 🔹 Volume Conviction The tool provides specific volume metrics that allow traders to gauge conviction. By comparing the "Total" volume label of one cluster against another, a trader can determine which price regime had more participation. A breakout into a price zone with a high-volume cluster suggests stronger conviction and a higher probability of the level holding compared to a zone with low total volume. 🔶 DETAILS Unlike traditional anchored volume profiles that provide a single histogram, this script employs a K-Means clustering algorithm to segment the range. This process involves: Identifying the specific range of bars between the user-selected Start Time and End Time . Initializing "centroids" across the price range of that period. Iteratively assigning each price bar to the nearest centroid based on the HLC2 (median) price. Recalculating centroids based on the volume-weighted average price of the assigned bars. Finalizing assignments after the specified number of iterations to ensure stable clusters. By separating price action into these clusters, the tool helps identify high-interest zones that might be obscured by a single, traditional Volume Profile. 🔶 SETTINGS 🔹 Anchor Settings Start Time / End Time : Sets the beginning and end of the analysis range. These use the "Confirm" feature, allowing you to select the range directly on the chart after adding the indicator or changing settings. Range Highlight : Adjusts the color and transparency of the background shading that identifies the analyzed range. 🔹 Clustering Settings Number of Clusters : Sets how many distinct price groups the algorithm should attempt to find (2 to 10). K-Means Iterations : Controls the number of times the algorithm refines the cluster centers. Higher values can lead to more stable results. 🔹 Volume Profile Settings Rows per Cluster VP : Defines the vertical resolution (number of bins) for each individual cluster's profile. Max VP Width (Bars) : Sets the maximum horizontal length of the volume profile histograms. VP Offset : Adjusts the horizontal spacing between the current bar and the start of the volume profiles. Highlight Price Dots : Toggles the visibility of the colored dots on the price action to identify cluster assignments. Dot Size : Adjusts the size of the cluster assignment dots on the chart, ranging from tiny to huge.
Indicatore Pine Script®
di LuxAlgo
Volume Profile - Previous DayPrevious Day Volume Profile (PDVP) plots a fixed volume distribution for the prior trading day directly on your chart. It builds a price-by-volume histogram from the previous session and highlights key auction levels: POC (Point of Control): the price level with the highest traded volume VAH / VAL (Value Area High/Low): the value area boundaries based on your selected percentage Previous Day High/Low: optional session extremes for context How to Use It Contextual Trading: Use the vPOC (Point of Control) and Value Area as magnets or hurdles for price. Price staying inside the Value Area suggests a balanced/ranging market. Price breaking out of the Value Area suggests a trend initiation. Mean Reversion: Look for "Value Area Rejections" at the VAH or VAL to play moves back toward the POC. PDH/PDL Anchors: The blue rays provide instant daily bias. Breaking the Previous Day High often signals bullish momentum, while failing to do so suggests a potential reversal. Settings Auto-Detect Settings: Toggle this on to let the script handle the math, or toggle off to input your own custom "Row Height" in ticks. Value Area %: Defaulted to 70% (Standard). Histogram Width: Adjust how far the profile extends across your chart. Calculation Granularity: Defaulted to 10m for the best balance of speed and accuracy.
Indicatore Pine Script®
di prater18
Key Price Levels Daily Ver [structJCWL]As an independent developer and active trader, I built this tool to address a personal frustration: the lack of precision in standard session-level indicators. For those who trade based on market micro-structure, a level that is "approximately" correct is a logic error. Key Price Levels Daily Ver is an engineering implementation focused on reconstructing session data with surgical accuracy. It is designed for traders who require reliable, noise-filtered benchmarks to anchor their daily execution. THE ENGINEERING LOGIC: 1-Second (1S) Intrabar Reconstruction : Standard scripts often rely on daily-bar data, which can be imprecise. This tool re-aggregates the session using 1-Second (1S) granularity . By processing every sub-candle, it ensures that POC, Value Area, and Extremes are anchored to the true weight of capital commitment. The 15-Minute Threshold (Technical Rationale) : To maintain the high fidelity of 1S data aggregation, this indicator is optimized for timeframes ≤ 15 minutes . Calculating micro-structure on higher timeframes leads to data thinning and reduced precision—limitations I refuse to accept in my personal trading setup. Adaptive Visual Hierarchy (Fade & Limits) : To prevent visual clutter, I’ve integrated Fade Strength and Timeframe Limits . Lines automatically adjust their transparency or visibility based on your current timeframe, ensuring that the most relevant levels remain clear while secondary noise recedes. Reliability by Design : In 24/7 markets, script stability is paramount. I have implemented defensive programming (including a 98,000-unit memory circuit breaker ) to prevent overflows during extreme volatility. I strive for absolute dependability; if you encounter any issues, your feedback is highly welcome as we refine and improve this tool together. 作为一名独立开发者与实战交易者，我构建此工具是为了解决一个长期的困扰：标准时段指标精度的缺失。对于基于市场微观结构进行交易的人来说，“大约准确”的水位本身就是一种逻辑错误。 Key Price Levels Daily Ver 是我对日内关键水位线的个人工程化实现，专注于以“外科手术式”的精度重构时段数据。它专为那些需要可靠、过滤噪音的基准位来锚定日内执行的交易者而设计。 核心设计逻辑： 1秒级微观重构 (1S Precision) ：我不满足于直接调用现成的日线数据。脚本通过扫描 1秒 (1S) 微观颗粒度数据 来重构整个交易时段，确保 POC 和价值区的计算基准来自于最真实的成交细节。 15分钟周期硬限制 ：为了保证 1S 数据聚合的极致精度，本脚本仅限在 15分钟及以下周期 运行。在更长周期调用微观数据会导致精度大幅下降。作为开发者，我不允许“大约准确”的逻辑存在于我的系统里。 自适应视觉层级 (Fade & Limits) ：通过内置的 淡化强度 (Fade) 与 周期限制 (Limits) ，水位线会根据你当前的图表周期自动调节透明度或可见性。 可靠性设计 ：在 24/7 不间断的交易中，脚本的稳定性至关重要。我在代码底层加入了防御性设计（包括 98,000 数组容量熔断机制 ），旨在防止极端行情下的计算溢出或图表崩溃。我追求的是一个能让人放心的工具，若你在使用中发现任何问题，欢迎随时反馈，我们共同完善。 Feedback & Interaction: As a personal project, this script is continuously refined. I welcome any bug reports or suggestions for improvement to make this tool even more robust for the community. Compliance & Credits: Author: structJCWL (Independent Developer & Trader) License: Mozilla Public License 2.0 (MPL 2.0) Attribution: Core data aggregation and state-machine logic are 100% original implementations
Indicatore Pine Script®
di structJCWL
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.
Indicatore Pine Script®
di BigBeluga
3
Smart Krypto Futures Daytrade Suite Here is the complete **Strategy & User Guide** for your **"Smart Crypto Futures Daytrade Suite (Final)"** in English. --- # 📘 Smart Crypto Futures Daytrade Suite – User Guide ### 1. Overview This suite is an all-in-one institutional-grade tool designed for **Scalping and Daytrading** cryptocurrencies (Bitcoin, Ethereum, Altcoins). It combines high-timeframe trends with lower-timeframe entry triggers, liquidity levels, and a real-time market dashboard. ### 2. The Visual Legend (What is what?) #### A) Trend & Momentum (The "Traffic Light") * **🟣 Daily EMA 50 (Neon Violet):** The **Macro Trend**. * *Price Above:* Bullish Bias (Look for Longs). * *Price Below:* Bearish Bias (Look for Shorts). * **🟢 4h EMA 50 (Neon Green):** The **Swing Trend**. Ideally, price is above both the Violet and Green lines for a strong trend. * **🔵 WMA 200 (Royal Blue):** The **"Last Line of Defense"**. A weighted moving average often respected by algorithms as major dynamic support or resistance. * **💠 VWAP (Cyan/Light Blue):** The **Session Anchor**. * *Bullish Day:* Price stays above VWAP. * *Bearish Day:* Price stays below VWAP. * **🟡 EMA 9 (Yellow):** The **Entry Trigger**. Use this for timing. Enter when a candle closes above/below this line after a pullback. #### B) Market Structure & Zones * **🟥 / 🟩 Boxes (Solid):** **Supply & Demand Zones** (1h Timeframe). These are major reversal areas. * **⬜ FVG Boxes (Transparent):** **Fair Value Gaps**. Imbalances in the market that price often wants to fill ("mitigate") before continuing the trend. #### C) Liquidity & Targets * **🟡 POC Line (Gold):** **Point of Control** (Yesterday’s highest volume price). * *Rule:* Use as a **Take Profit** target. Price acts like a magnet to this level. * **⚪ PDH / PDL (Grey Dashed):** **Previous Day High / Low**. * *Strategy:* Watch for "Fakeouts" (Liquidity Grabs) at these levels to take a reversal trade. --- ### 3. The Dashboard (Head-Up Display) Located in the top right corner, this panel gives you an instant overview of the market health without switching charts. **Columns:** 1. **ASSET:** Monitors BTC, ETH, Bitcoin Dominance (BTC.D), and Tether Dominance (USDT.D). 2. **TREND (15m):** Compares Price vs. EMA 50 (15m timeframe). * **🟢 BULL:** Short-term trend is Up. * **🔴 BEAR:** Short-term trend is Down. 3. **RSI (15m):** Relative Strength Index (14). * **🟢 < 30:** Oversold (Potential Bounce / Long opportunity). * **🔴 > 70:** Overbought (Potential Pullback / Short opportunity). * **⚪ 30-70:** Neutral. **Correlations to watch:** * If **BTC.D** is BULL (Green), money is flowing into Bitcoin (Altcoins might bleed). * If **USDT.D** is BULL (Green), traders are fleeing to cash (Crypto prices usually drop). --- ### 4. Trading Strategy Blueprints #### Setup A: The "Trend Pullback" (High Probability) 1. **Context:** Price is above **Daily EMA (Violet)** and **4h EMA (Green)**. 2. **Pullback:** Price drops down to test the **WMA 200 (Royal Blue)** or **VWAP (Cyan)**. 3. **Confluence:** Ideally, there is a **Green Demand Zone** or an **FVG** at the same level. 4. **Trigger:** Wait for a candle to close back above the **EMA 9 (Yellow)**. 5. **Target:** The **POC (Gold)** or **PDH (Grey)**. #### Setup B: The "Liquidity Sweep" (Reversal) 1. **Context:** Price shoots up rapidly. 2. **Event:** Price breaks the **PDH (Previous Day High)** but fails to close above it (leaves a long wick). 3. **Dashboard Check:** RSI is red (> 70). 4. **Entry:** Short when price falls back below the PDH. 5. **Target:** Back to the **VWAP** or **POC**. --- ### 5. Risk Management Rules * **No Man's Land:** Do not trade when price is far away from all EMAs and VWAP. Wait for a return to value. * **The Chop:** If the EMAs are flat and weaving through price, the market is ranging. Reduce position size or wait. * **VWAP Rule:** In a strong trend, the VWAP often acts as the "floor" (Longs) or "ceiling" (Shorts). If price breaks VWAP with volume, the day's trend might be changing. **Enjoy the suite! Simplicity is the ultimate sophistication.**
Indicatore Pine Script®
di socke1986
Precision Market Entropy Heatmap [LuxAlgo]The Precision Market Entropy Heatmap indicator provides a high-resolution visualization of volume distribution and market activity within specific anchor intervals using intrabar data. By utilizing lower timeframe (LTF) precision, it maps out where the most significant trading activity occurred, allowing traders to identify institutional interest zones and "fair value" areas through a dynamic heat-mapped profile. 🔶 USAGE The indicator segments the chart into blocks based on the selected Anchor Interval. Within each block, a vertical distribution of volume is calculated using the Intrabar Precision setting to ensure the heatmap accurately reflects market participation at specific price levels. Heatmap Blocks : Brighter colors represent higher volume concentrations (high entropy). These areas often act as significant support or resistance zones where the market has previously found "fair value" or high liquidity. Identifying Institutional Interest : High-volume "bright" nodes represent price levels where heavy institutional participation occurred. These nodes act as powerful magnets or barriers for future price action. Navigating Liquidity Voids : Darker areas indicate low volume nodes (low entropy). Price often "slips" through these gaps quickly. Traders can use these zones to anticipate fast-moving price action or set targets beyond the void. Trend Direction via POC : Observe the slope and shifts of the Developing POC polyline. An ascending POC confirms bullish value migration, while a descending one suggests bearish value migration. Mean Reversion : Significant price deviations from the largest high-volume node, when the POC remains static, can signal that the market is overextended and likely to return to "fair value." Breakout Validation : Use the blocks to identify compression zones. A breakout is more reliable when the POC shifts into the new range, confirming that the move is backed by volume and accepted by the market. POC Extensions : Dashed lines extend the session's final POC. These are dynamically colored based on their relationship to the current price: Green if the POC is below the current price (potential support) and Red if above (potential resistance). 🔶 DETAILS Unlike standard Volume Profiles that look at fixed ranges, this script focuses on "Entropy" by visualizing the density of distribution across a user-defined grid. By requesting security data from lower timeframes, it provides a much more granular view of price action than what is visible on the current chart timeframe alone. The indicator uses a gradient-based coloring system to distinguish between low-activity areas and high-volume nodes, making it easier to spot "Liquidity Voids" (darker areas) and "High Volume Nodes" (brighter areas). 🔶 SETTINGS 🔹 Heatmap Settings Anchor Interval : Sets the timeframe that defines each heatmap block (e.g., "D" for Daily blocks). Intrabar Precision : Determines the lower timeframe used to calculate the volume distribution. Lower values (like "1m") provide higher precision but are limited by available historical data. Number of Rows : Controls the vertical price resolution of the heatmap grid. Higher values create a more detailed but computationally heavier profile. 🔹 Style Settings Heatmap Intensity : A three-color gradient selector that defines the color transition from low to high volume areas. Heatmap Transparency : Adjusts the visibility of the heatmap blocks on the chart. POC Extension (Bull/Bear) : Sets the colors for the dashed POC lines based on whether they are currently below (Bull) or above (Bear) the market price. Show Developing POC : Toggles the visibility of the real-time POC polyline. Auto : When enabled, the developing POC color automatically syncs with your chart theme's foreground color. 🔹 Display Settings Max Sessions to Show : Limits the number of historical heatmap blocks rendered on the chart to maintain performance. Extend POCs to Current Bar : When enabled, historical POC lines will extend to the far right of the chart until they are replaced by newer sessions.
Indicatore Pine Script®
di LuxAlgo
2
Volume Profile Skew [BackQuant]Volume Profile Skew Overview Volume Profile Skew is a market-structure indicator that answers a specific question most volume profiles do not: “Is volume concentrating toward lower prices (accumulation) or higher prices (distribution) inside the current profile range?” A standard volume profile shows where volume traded, but it does not quantify the shape of that distribution in a single number. This script builds a volume profile over a rolling lookback window, extracts the key profile levels (POC, VAH, VAL, and a volume-weighted mean), then computes the skewness of the volume distribution across price bins. That skewness becomes an oscillator, smoothed into a regime signal and paired with visual profile plotting, key level lines, and historical POC tracking. This gives you two layers at once: A full profile and its important levels (where volume is). A skew metric (how volume is leaning within that range). What this indicator is based on The foundation comes from classical “volume at price” concepts used in Market Profile and Volume Profile analysis: POC (Point of Control): the price level with the highest traded volume. Value Area (VAH/VAL): the zone containing the bulk of activity, commonly 70% of total volume. Volume-weighted mean (VWMP in this script): the average price weighted by volume, a “center of mass” for traded activity. Where this indicator extends the idea is by treating the volume profile as a statistical distribution across price. Once you treat “volume by price bin” as a probability distribution (weights sum to 1), you can compute distribution moments: Mean: where the mass is centered. Standard deviation: how spread-out it is. Skewness: whether the distribution has a heavier tail toward higher or lower prices. This is not a gimmick. Skewness is a standard statistic in probability theory. Here it is applied to “volume concentration across price”, not to returns. Core concept: what “skew” means in a volume profile Imagine a profile range from Low to High, split into bins. Each bin has some volume. You can get these shapes: Balanced profile: volume is fairly symmetric around the mean, skew near 0. Bottom-heavy profile: more volume at lower prices, with a tail toward higher prices, skew tends to be positive. Top-heavy profile: more volume at higher prices, with a tail toward lower prices, skew tends to be negative. In this script: Positive skew is labeled as ACCUMULATION. Negative skew is labeled as DISTRIBUTION. Near-zero skew is NEUTRAL. Important: accumulation here does not mean “buying will immediately pump price.” It means the profile shape suggests more participation at lower prices inside the current lookback range. Distribution means participation is heavier at higher prices. How the volume profile is built 1) Define the analysis window The profile is computed on a rolling window: Lookback Period: number of bars included (capped by available history). Profile Resolution (bins): number of price bins used to discretize the high-low range. The script finds the highest high and lowest low in the lookback window to define the price range: rangeHigh = highest high in window rangeLow = lowest low in window binSize = (rangeHigh - rangeLow) / bins 2) Create bin midpoints Each bin gets a midpoint “price” used for calculations: price = rangeLow + binSize * (b + 0.5) These midpoints are what the mean, variance, and skewness are computed on. 3) Distribute each candle’s volume into bins This is a key implementation detail. Real volume profiles require tick-level data, but Pine does not provide that. So the script approximates volume-at-price using candle ranges: For each bar in the lookback: Determine which bins its low-to-high range touches. Split that candle’s total volume evenly across the touched bins. So if a candle spans 6 bins, each bin gets volume/6 from that bar. This is a practical, consistent approximation for “where trading could have occurred” inside the bar. This approach has tradeoffs: It does not know where within the candle the volume truly traded. It assumes uniform distribution across the candle range. It becomes more meaningful with larger samples (bigger lookback) and/or higher timeframes. But it is still useful because the purpose here is the shape of the distribution across the whole window, not exact microstructure. Key profile levels: POC, VAH, VAL, VWMP POC (Point of Control) POC is found by scanning bins and selecting the bin with maximum volume. The script stores: pocIndex: which bin has max volume poc price: midpoint price of that bin Value Area (VAH/VAL) using 70% volume The script builds the value area around the POC outward until it captures 70% of total volume: Start with the POC bin. Expand one bin at a time to the side with more volume. Stop when accumulated volume >= 70% of total profile volume. Then: VAL = rangeLow + binSize * lowerIdx VAH = rangeLow + binSize * (upperIdx + 1) This produces a classic “where most business happened” zone. VWMP (Volume-Weighted Mean Price) This is essentially the center of mass of the profile: VWMP = sum(price * volume ) / totalVolume It is similar in spirit to VWAP, but it is computed over the profile bins, not from bar-by-bar typical price. Skewness calculation: turning the profile into an oscillator This is the main feature. 1) Treat volumes as weights For each bin: weight = volume / totalVolume Now weights sum to 1. 2) Compute weighted mean Mean price: mean = sum(weight * price ) 3) Compute weighted variance and std deviation Variance: variance = sum(weight * (price - mean)^2) stdDev = sqrt(variance) 4) Compute weighted third central moment Third moment: m3 = sum(weight * (price - mean)^3) 5) Standardize to skewness Skewness: rawSkew = m3 / (stdDev^3) This standardization matters. Without it, the value would explode or shrink based on profile scale. Standardized skewness is dimensionless and comparable. Smoothing and regime rules Raw skewness can be jumpy because: profile bins change as rangeHigh/rangeLow shift, one high-volume candle can reshape the distribution, volume regimes change quickly in crypto. So the indicator applies EMA smoothing: smoothedSkew = EMA(rawSkew, smooth) Then it classifies regime using fixed thresholds: Bullish (ACCUMULATION): smoothedSkew > +0.25 Bearish (DISTRIBUTION): smoothedSkew < -0.25 Neutral: between those values Signals are generated on threshold cross events: Bull signal when smoothedSkew crosses above +0.25 Bear signal when smoothedSkew crosses below -0.25 This makes the skew act like a regime oscillator rather than a constantly flipping color. Volume Profile plotting modes The script draws the profile on the last bar, using boxes for each bin, anchored to the right with a configurable offset. The width of each profile bar is normalized by max bin volume: volRatio = binVol / maxVol barWidth = volRatio * width Three style modes exist: 1) Gradient Uses a “jet-like” gradient based on volRatio (blue → red). Higher-volume bins stand out naturally. Transparency increases as volume decreases, so low-volume bins fade. 2) Solid Uses the current regime color (bull/bear/neutral) for all bins, with transparency. This makes the profile read as “structure + regime.” 3) Skew Highlight Highlights bins that match the skew bias: If skew bullish, emphasize lower portion of profile. If skew bearish, emphasize higher portion of profile. Else, keep most bins neutral. This is a visual “where the skew is coming from” mode. Historical POC tracking and Naked POCs This script also treats POCs as meaningful levels over time, similar to how traders track old VA levels. What is a “naked POC”? A “naked POC” is a previously formed POC that has not been revisited (retested) by price since it was recorded. Many traders watch these as potential reaction zones because they represent prior “maximum traded interest” that the market has not re-engaged with. How this script records POCs It stores a new historical POC when: At least updatebars have passed since the last stored POC, and The POC has changed by at least pochangethres (%) from the last stored value. New stored POCs are flagged as naked by default. How naked becomes tested On each update, the script checks whether price has entered a small zone around a naked POC: zoneSize = POC * 0.002 (about 0.2%) If bar range overlaps that zone, mark it as tested (not naked). Display controls: Highlight Naked POCs: draws and labels untested POCs. Show Tested POCs: optionally draw tested ones in a muted color. To avoid clutter, the script limits stored POCs to the most recent 20 and avoids drawing ones too close to the current POC. On-chart key levels and what they mean When enabled, the script draws the current lookback profile levels on the price chart: POC (solid): the “most traded” price. VAH/VAL (dashed): boundaries of the 70% value area. VWMP (dotted): volume-weighted mean of the profile distribution. Interpretation framework (practical, not mystical): POC often behaves like a magnet in balanced conditions. VAH/VAL define the “accepted” area, breaks can signal auction continuation. VWMP is a fair-value reference, useful as a mean anchor when skew is neutralizing. Oscillator panel and histogram The skew oscillator is plotted in a separate pane: Line: smoothedSkew, colored by regime. Histogram: smoothedSkew as bars, colored by sign. Fill: subtle shading above/below 0 to reinforce bias. This makes it easy to read: Direction of bias (positive vs negative). Strength (distance from 0 and from thresholds). Transitions (crosses of ±0.25). Info table: what it summarizes On the last bar, a table prints key diagnostics: Current skew value (smoothed). Regime label (ACCUMULATION / DISTRIBUTION / NEUTRAL). Current POC, VAH, VAL, VWMP. Count of naked POCs still active. A simple “volume location” hint (lower/higher/balanced). This is designed for quick scanning without reading the entire profile. Alerts The indicator includes alerts for: Skew regime shifts (cross above +0.25, cross below -0.25). Price crossing above/below current POC. Approaching a naked POC (within 1% of any active naked POC). The “approaching naked POC” alert is useful as a heads-up that price is entering a historically important volume magnet/reaction zone. How to use it properly 1) Regime filter Use skew regime to decide what type of trades you should prioritize: ACCUMULATION (positive skew): market activity is heavier at lower prices, pullbacks into value or below VWMP often matter more. DISTRIBUTION (negative skew): activity is heavier at higher prices, rallies into value or above VWMP often matter more. NEUTRAL: mean-reversion and POC magnet behavior tends to dominate. This is not “buy when green.” It is context for what the auction is doing. 2) Level-based execution Combine skew with VA/POC levels: In neutral regimes, expect rotations around POC and inside VA. In strong skew regimes, watch for acceptance away from POC and reactions at VA edges. 3) Naked POCs as targets and reaction zones Naked POCs can act like unfinished business. Common workflows: As targets in rotations. As areas to reduce risk when price is approaching. As “if it breaks cleanly, trend continuation” markers when price returns with force. Parameter tuning guidance Lookback Controls how “local” the profile is. Shorter: reacts faster, more sensitive to recent moves. Longer: more stable, better for swing context. Bins Controls resolution of the profile. Higher bins: more detail, more computation, more sensitive profile shape. Lower bins: smoother, less detail, more stable skew. Smoothing Controls how noisy the skew oscillator is. Higher smoothing: fewer regime flips, slower response. Lower smoothing: more responsive, more false transitions. POC tracking settings Update interval and threshold decide how many historical POCs you store and how different they must be. If you set them too loose, you will spam levels. If too strict, you will miss meaningful shifts. Limitations and what not to assume This indicator uses candle-range volume distribution because Pine cannot see tick-level volume-at-price. That means: The profile is an approximation of where volume could have traded, not exact tape data. Skew is best treated as a structural bias, not a precise signal generator. Extreme single-bar events can distort the distribution briefly, smoothing helps but cannot remove reality. Summary Volume Profile Skew takes standard volume profile structure (POC, Value Area, volume-weighted mean) and adds a statistically grounded measure of profile shape using skewness. The result is a regime oscillator that quantifies whether volume concentration is leaning toward lower prices (accumulation) or higher prices (distribution), while also plotting the full profile, key levels, and historical naked POCs for actionable context.
Indicatore Pine Script®
di BackQuant
2
PowerLevels - Key Daily LevelsThe Institutional Levels standalone indicator plots the following key price and volume levels directly on your chart: PDH & PDL (Previous Day High/Low): Displays the high and low of the prior session using time-anchored logic to ensure accuracy across the weekend gap. POC (Point of Control): The price level where the most volume was traded during the previous New York RTH session. VAH & VAL (Value Area High/Low): Marks the boundaries of the price range where 70% of the previous day's volume took place. Settlement: The official previous-day closing price as determined by the CME exchange. Midnight Open: A horizontal line marking the opening price at 12:00 AM New York time for the current session. NDOG (New Day Opening Gap): Automated boxes highlighting the gap between the previous day's close and the current day's open, including a dashed midline. NWOG (New Week Opening Gap): Automated boxes highlighting the gap between Friday’s close and Sunday’s open, including a dashed midline. Midnight V-Line: A vertical separator marking each new daily session to maintain a clear visual narrative.
Indicatore Pine Script®
di PowerEdgeTrader
Apex Wallet - Volume Profile: Institutional POC & Value Area TooOverview The Apex Wallet Volume Profile is a professional-grade institutional analysis tool designed to reveal where the most significant trading activity has occurred. By plotting volume on the vertical price axis, it identifies key liquidity zones, value areas, and market fair value, which are essential for order flow trading and identifying high-probability support and resistance. Dynamic Multi-Mode Engine This script features an intelligent adaptive lookback system that automatically adjusts based on your timeframe and trading style: Scalping: Fine-tuned for 1m to 15m charts, focusing on immediate liquidity. Day-Trading: Optimized for intraday sessions from 5m to 1h timeframes. Swing-Trading: Deep historical analysis for 1h up to daily charts. Institutional Data Points Point of Control (POC): Automatically identifies and highlights the price level with the highest total volume. Value Area (VAH/VAL): Calculates the range where 70% (customizable) of the volume occurred, representing the "Fair Value" of the asset. HVN & LVN Detection: Spots High Volume Nodes (significant support/resistance) and Low Volume Nodes (rejection zones). Delta Visualization: Toggle between Bullish, Bearish, or Total volume distribution for precise buy/sell pressure analysis. Professional UI The profile is rendered with high-fidelity histograms that can be offset to avoid overlapping with price action. It features clear labels and dashed levels for institutional markers, ensuring a clean and actionable workspace.
Indicatore Pine Script®
di Apex-Wallet
[LJ] HTF Candles with Volume POC [Highly Optimized]Welcome to the ultimate Higher Timeframe (HTF) fusion tool. This indicator seamlessly merges Higher Timeframe price action with precise volume profiling on Lower Timeframe (LTF) charts. By utilizing advanced array memory management, it bypasses TradingView's drawing limits to render clean HTF candle boxes and their exact Volume Point of Control (POC), ensuring peak performance and accuracy even on extreme timeframe combinations. 🔎 Visual Guide: What's on Your Chart? The Big Boxes (Wick & Body): These represent the Open, High, Low, and Close of your selected Higher Timeframe (e.g., a 1-Hour candle projected onto your 5-Minute chart). Color-coded for bullish/bearish momentum. The Midline: A horizontal line dividing the HTF candle perfectly in half. Useful for gauging if LTF price is in a "premium" or "discount" zone relative to the HTF. The Yellow Box (The POC): This is the Point of Control. When an HTF candle closes, this yellow box locks in place, showing the exact price zone that saw the highest volume accumulation during that period, calculated using precise LTF hlc3 price data. ⚙️ Key Settings & Configuration To get the most out of this indicator, check these inputs in the settings menu: Box Time Interval: Set this to your desired HTF (e.g., "1H", "4H", "D"). Tip: A good rule of thumb is an HTF that is 5x to 12x higher than your current chart. POC Resolution (Levels): This is your fine-tuning dial. Set to 50 - 100: Creates a very thin, precise POC line. Great for exact support/resistance levels. Set to 15 - 35: Creates a thicker POC "Zone". Great for capturing broader areas of high liquidity. Max Historical Boxes: Controls how far back the indicator draws. Keep this at 50 for a clean chart and fast loading times. 📈 Trading Strategies: How to Trade the HTF POC 1. The "Magnet" Mean Reversion High volume nodes (POCs) act as price magnets. If the current LTF price is far away from the previous HTF candle's POC, look for setups that trade back toward that yellow box. 2. The Break & Retest The POC box acts as a heavy Support/Resistance wall. If price breaks through the yellow POC box with strong momentum, look to enter on the retest of that box in the direction of the breakout. 3. Trend Continuation In a strong uptrend, look for the current LTF price to bounce off the Midline or the previous candle's POC to join the dominant HTF trend. ⚡ Performance Note This indicator uses advanced Pine Script Array Management. Unlike standard volume profile scripts that crash when calculating big timeframes, this indicator guarantees zero lag and no disappearing boxes, even when looking at a Daily HTF on a 1-Minute chart. 🙏 Credits This is a refactored and heavily optimized fusion of two great concepts: Original HTF Box logic by © krollo041 Original Volume Thermometer concept by © ChartPrime Merged, debugged, and optimized for v6 Array Management by ©Luki_eR Disclaimer: This script is for educational and informational purposes only and does not constitute financial advice.
Indicatore Pine Script®
di Luki_eR
Ultimate Futures Daytrade Suite v1 - The Strategy GuideHere is the complete **Strategy Guide** translated into English. --- # 📘 Ultimate Futures Daytrade Suite – The Strategy Guide ### 1. The Visual Legend (What is what?) Before you trade, you need to understand the hierarchy of your lines. Not every line has the same importance. * **🟣 Daily EMA 50 (Neon Violet):** The **"Big Boss"**. It determines the **Macro Trend**. * *Price above:* We are primarily looking for Longs. * *Price below:* We are primarily looking for Shorts. * **🟢 4h EMA 50 (Neon Green):** The **"Swing Trend"**. Your most important level for **Pullback Entries** (Re-entries). * **🟡 POC (Gold) & TPO:** The **"Magnet"**. Price often returns here. * *Rule:* Never open a trade directly *on* the POC (Risk of "Chop"). Use it as a **Target** (Take Profit). * **🟠 IB High/Low (Orange Lines):** The **"Daily Structure"**. * A breakout from the IB (Initial Balance) often indicates the trend direction for the day. * **🟥/🟩 Boxes (Supply/Demand):** Resistance and Support zones from the 1h timeframe. * **⬜ FVG Boxes:** "Gaps" in the market that are often filled. --- ### 2. The Trading Workflow (Top-Down Method) Go through this mental checklist before every trade: #### Step 1: Trend Check (The Traffic Light) Look at the **Violet Line (Daily)** and the **Green Line (4h)**. * **Bullish:** Price is above Violet AND above Green. -> *Focus: Buy dips.* * **Bearish:** Price is below Violet AND below Green. -> *Focus: Sell rallies.* * **Mixed:** Price is between Violet and Green. -> *Caution! Market is undecided (Range Trading).* #### Step 2: Location (The Context) Where is the price currently located? * Are we at a **Green Demand Zone**? * Are we testing the **4h EMA 50 (Green)** from above? * Are we at the **VWAP**? * *Never trade in "No Man's Land"!* Wait until the price touches one of your lines. #### Step 3: Trigger (The Execution) Now zoom into your lower timeframe (e.g., 5min or 15min). * Wait for a reaction at the zone. * Use the **EMA 9 (Yellow)** as a momentum trigger. If price breaks the EMA 9 and closes above/below it, that is your "Go". --- ### 3. The Setup Blueprints Here are the two most profitable scenarios you can trade with this script: #### A) The "Golden Trend" Setup (Long) * **Context:** Price > **Daily EMA (Violet)**. * **Preparation:** Price corrects (drops) back to the **4h EMA 50 (Green)** or to the **VWAP**. * **Confluence:** Ideally, there is also a **Demand Zone (Green Box)** or an **FVG** at that level. * **Entry:** As soon as a candle touches the zone and closes bullish again (or reclaims the EMA 9). * **Stop-Loss:** Below the 4h EMA 50. * **Take-Profit:** Next **Supply Zone (Red)** or the **IB High (Orange)**. #### B) The "Daytrade Breakout" (Intraday) * **Context:** Price opens inside yesterday's Value Area. * **Signal:** Price breaks through the **IB High (Orange)** with momentum. * **Filter:** Price must be above the **VWAP**. * **Entry:** On the retest of the IB High or directly on the breakout. * **Target:** Price often trends in that direction for the rest of the day. --- ### 4. Warning Signals (When NOT to trade) 1. **The "Concrete Ceiling":** If you want to go Long, but the **Violet Daily EMA 50** is running directly above you. This is massive resistance. Better wait until it is broken. 2. **The "POC Dance":** If price is dancing sideways around the **Gold Line (POC)**. This is a "No-Trade Zone". Day traders lose the most money here due to fees and whipsaws. 3. **Overextension:** If price is extremely far away from the **4h EMA 50 (Green)** (Rubber Band Effect). Do not enter in the trend direction here; wait for a pullback to the line. ### Summary Your chart is now telling you a story: * **Violet** tells you the Direction. * **Green** gives you the Entry. * **Red/Green Boxes** show you the Obstacles. * **Yellow (EMA 9)** gives you the Timing. Good luck with the Suite! This is a setup similar to what institutional traders use.
Indicatore Pine Script®
di socke1986
Volume Profile Visible Range (VPVR) with POC PriceThis script visualizes volume distribution for the bars currently visible on your chart, helping you identify key liquidity zones and high-traffic price levels. Main Features: ・Dynamic Range: Recalculates automatically as you zoom or scroll. ・POC Price Label: Highlights the Point of Control (highest volume) with a clear price tag. ・Value Area (VA): Visually separates the most active trading zone (default 70%). ・Highly Flexible: Choose your preferred layout (Left or Right) and colors. How to use: 1. Spot S/R Levels: Look for long bars (High Volume Nodes); these often act as strong support or resistance. 2. Monitor the POC: The Point of Control is a price magnet. Watch for reactions or retests at this level. 3. Low Volume Gaps: Price tends to move quickly through areas with very short volume bars.
Indicatore Pine Script®
di ken5_5489
[Greeny] RTH Only Naked VPOCWhat it does Calculates and displays daily Volume Point of Control (VPOC) levels based on RTH (Regular Trading Hours) session only. Tracks which VPOCs remain "naked" (untouched) and which have been hit - but only counts hits during RTH hours, ignoring overnight/globex touches. Key Features One VPOC per trading day calculated from entire RTH session volume profile RTH-only hit detection - levels only marked as hit when touched during RTH, not overnight Works on all timeframes - daily, hourly, or any chart timeframe Volume-based filtering - automatically skips low-liquidity sessions (pre-front-month contract data) Visual markers - small dash on origin bar shows where each VPOC was, even after being hit Visual Guide Yellow dashed line - Naked VPOC (not yet touched during RTH) White dashed line - Hit VPOC (was touched during RTH) Small dash on candle - POC origin marker Settings Display options: Toggle to show only naked POCs, customize hit/naked colors, adjust line width and style (solid/dashed/dotted), enable/disable line extension and origin markers. RTH Session: Configure start and end time in NY timezone. Default is 9:30-16:00 (US equity market hours), which equals 15:30-22:00 Budapest time. Advanced: Adjust volume profile resolution (default 250 bins), data source timeframe for calculations (5min recommended for daily charts), and minimum volume threshold to filter out low-liquidity sessions like pre-rollover contract data (default 10% of average). Best For ES/MES, NQ/MNQ futures traders Mean reversion strategies using VPOC as support/resistance Auction Market Theory practitioners Anyone wanting clean RTH-only volume profile levels Note on Contract Rollovers When using specific contract symbols (e.g., ESH2026 instead of ES1!), the script may show many naked VPOCs from months before the contract became active. This happens because futures contracts have very low liquidity before becoming the front-month, creating unreliable VPOCs with gaps that never get hit. The volume filter helps reduce this, but you may need to increase the "Min Volume % of Average" setting or simply ignore older levels when viewing back-month data.
Indicatore Pine Script®
di GreenyEdge
1
Volume Cluster Profile [VCP] (Zeiierman)█ Overview Volume Cluster Profile (Zeiierman) is a volume profile tool that builds cluster-enhanced volume-by-price maps for both the current market window and prior swing segments. Instead of treating the profile as a raw histogram only, VCP detects the dominant volume peaks (clusters) inside the profile, then uses a Gaussian spread model to “radiate” those peaks into surrounding price bins. This produces a smoother, more context-aware profile that highlights where volume is most meaningfully concentrated, not just where it happened to print. On top of the live profile, VCP automatically records historical swing profiles between pivots, wraps each segment for clarity, and can project the most recent segment’s High/Low Value extensions (VA/LV) forward to the current bar to keep key structure visible as price evolves. █ How It Works ⚪ 1) Profile Construction (Volume-by-Price) VCP builds a volume profile histogram over a chosen window (current lookback, or a swing segment): Range Scan The script finds the full min → max price range inside the window. Bin the Range That range is divided into a user-defined number of Price Bins (rows). More bins = finer detail, but heavier computation. Accumulate Volume into Bins For each bar inside the window, the script takes the bar’s close price, determines which price bin it belongs to, and adds the bar’s volume to that bin. float step = (maxPrice - minPrice) / binsCount for i = 0 to barsToUse - 1 int b = f_clamp(int(math.floor((close - minPrice) / step)), 0, binsCount - 1) volBins += volume Result: volBins becomes a standard volume-by-price histogram (close-based binning). ⚪ 2) Cluster Detection (Finding Dominant Peaks) Once the raw histogram is built, VCP identifies cluster centers as the most meaningful volume “hills”: Local Peak Test A bin becomes a cluster candidate if its volume is greater than or equal to its immediate neighbors (left/right). Filter Weak Peaks Peaks must also be above a basic activity threshold (relative to the average bin volume) to avoid noise. bool isPeak = v >= left and v >= right if isPeak and v > avgVol array.push(clusterIdxs, b) Keep the Best Peaks Only If too many peaks exist, the script keeps only the strongest ones, capped by: Max Cluster Centers Result: clusterIdxs = the set of dominant profile peaks (cluster centers). ⚪ 3) Cluster Enhancement (Gaussian Spread Model) This is what makes VCP different from a raw profile. Instead of using volBins directly, the script builds an enhanced profile where each cluster center influences nearby price bins using a Gaussian curve: Distance from each bin to each cluster center is computed in “bin units” A Gaussian weight is applied so that bins near the center receive stronger influence, while bins farther away decay smoothly. Cluster Spread (sigma) controls how wide this influence reaches: low sigma produces tight, sharp clusters, while high sigma results in wider, smoother structure zones. enhanced += centerV * math.exp(-(dist*dist) / (2.0 * clusterSigma * clusterSigma)) volBinsAI := enhanced / szClFinal Result: volBinsAI = the cluster-enhanced volume value for each bin. In practice, VCP turns the profile into a structure map of dominant volume concentrations, rather than a simple “where volume printed” histogram. ⚪ 4) POC from the Enhanced Profile After enhancement: The bin with the highest volBinsAI becomes the POC (Point of Control) POC is plotted at the midpoint price of that bin if volBinsAI > maxVol maxVol := volBinsAI , pocBin := b So the POC reflects the cluster-enhanced profile rather than the raw histogram. █ How to Use ⚪ Read Cluster Structure (Default = 2 Clusters) By default, the Volume Cluster Profile (VCP) is configured to detect up to 2 dominant volume clusters within the profile. These clusters represent price zones where the market accepted trading activity, not just where volume printed randomly. ⚪ When TWO Clusters Appear When VCP detects two distinct clusters, it usually indicates: Two competing areas of value Ongoing auction between higher and lower acceptance zones Treat each cluster as an acceptance zone Expect slower price action and rotation inside clusters Expect faster movement in the low-volume space between clusters Use cluster-to-cluster movement as: rotation targets range boundaries acceptance vs rejection tests Typical behavior: Price enters a cluster → stalls, consolidates, rotates Price rejects at cluster edge → moves toward the opposite cluster ⚪ When ONLY ONE Cluster Appears If VCP detects only one cluster, or if two clusters visually merge into one: Volume is no longer split The market has formed a single dominant value area Price consensus is strong Treat the cluster as the primary value anchor Expect pullbacks and reactions around this zone Bias becomes directional: Above the cluster → bullish context Below the cluster → bearish context Inside the cluster → balance/chop This structure often appears during clean trends or stable equilibria. ⚪ VA/LV Extensions VCP projects two zones from the end of the most recent swing segment: VA extension = the segment’s highest enhanced-volume bin (dominant zone) LV extension = the segment’s lowest enhanced-volume bin (thin/weak zone) A breakout of the VA extension signals acceptance and potential continuation. A retest of the VA or LV extension is used to confirm acceptance or rejection, while rejection from either zone often leads to rotation back toward value. █ Settings Cluster Volume Profile Lookback Bars – how many recent bars build the current profile Price Bins – profile resolution (more bins = more detail, heavier CPU) Cluster Spread – Gaussian sigma; higher values widen/smooth cluster influence Max Cluster Centers – cap on detected peaks used in enhancement Historical Swing Cluster Volume Profile Pivot Length – swing sensitivity (larger = fewer, broader segments) Max Profiles – how many historical segments to retain Profile Width – thickness of each historical profile High & Low Value Area Profile VA/LV – extend the last segment’s top-bin and low-bin zones forward ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Indicatore Pine Script®
di Zeiierman
22
Daytrading Suite v6.4: Neon TPO + FVG + IB Lines (Stable)Here is the complete **Trading Manual & Strategy Guide** for the **Master Daytrading Suite (Neon + IB Edition)**. This guide explains exactly **when** to trade and **how** to execute trades using the tools in the script. --- # 📘 MASTER TRADING MANUAL (Neon + IB) ### 1. THE BASICS * **Best Assets:** BTCUSDT & ETHUSDT (Futures). * **Best Timeframe:** 5 Minutes (Entry) / 15 Minutes (Trend). * **Key Session:** New York Session (High Volatility). * **Golden Rule:** Never go **LONG** inside a Red Supply Zone. Never go **SHORT** inside a Green Demand Zone. --- ### 2. THE INDICATORS (Legend) | Indicator | Color | Function | How to use | | --- | --- | --- | --- | | **Supply Zone** | 🟥 **Red Box** | Resistance | Look for Short setups here. | | **Demand Zone** | 🟩 **Green Box** | Support | Look for Long setups here. | | **Golden Pocket** | 🟧 **Orange** | Retracement | The "Sweet Spot" for trend entries (Fib 0.618). | | **VWAP** | 🔵 **Blue Line** | Trend Anchor | Price > VWAP = Bullish. Price < VWAP = Bearish. | | **Initial Balance (IB)** | 🟨 **Yellow Box** | Opening Range | Breakout above = Bullish. Breakdown below = Bearish. | | **FVG (Gap)** | 🟩/🟥 **Tiny Box** | Trigger | **Green FVG** = Entry Signal for Longs. **Red FVG** = Entry Signal for Shorts. | --- ### 3. STRATEGY A: The Trend Pullback (High Win Rate) *Use this when the market is trending smoothly.* #### ✅ HOW TO ENTER A LONG (BUY) POSITION 1. **Trend Check:** Price is trading **ABOVE** the VWAP (Blue Line) and EMA 9 (Yellow Line). 2. **The Wait:** Wait for the price to drop back down (pullback). 3. **The Zone:** Price touches the **Green Demand Zone** OR the **Orange Golden Pocket**. 4. **The Trigger:** A **Green FVG Box** appears on the 5-minute chart. 5. **Execution:** Enter Long. Stop Loss below the recent low. Take Profit at the next Red Zone. #### 🔻 HOW TO ENTER A SHORT (SELL) POSITION 1. **Trend Check:** Price is trading **BELOW** the VWAP (Blue Line) and EMA 9 (Yellow Line). 2. **The Wait:** Wait for the price to rally up (pullback). 3. **The Zone:** Price touches the **Red Supply Zone** OR the **Orange Golden Pocket**. 4. **The Trigger:** A **Red FVG Box** appears on the 5-minute chart. 5. **Execution:** Enter Short. Stop Loss above the recent high. Take Profit at the next Green Zone. --- ### 4. STRATEGY B: The IB Breakout (Volatility) *Use this specifically after the first hour of the New York Session (approx. 10:30 NY time).* * **The Setup:** Look at the **Yellow Box (Initial Balance)** which marks the high/low of the first hour. * **Bullish Breakout:** If a candle closes **above** the Yellow Box + Price is above VWAP → **Go Long**. * **Bearish Breakdown:** If a candle closes **below** the Yellow Box + Price is below VWAP → **Go Short**. * **The Trap (Fakeout):** If price breaks out but immediately falls back inside the Yellow Box, close the trade immediately. --- ### 5. DAILY ROUTINE (Checklist) 1. **Open TradingView:** Switch to the **15m Chart**. 2. **Check Context:** Where are we? Are we near a big Red Box (Supply) or Green Box (Demand)? 3. **Check Trend:** Is price above or below the Blue VWAP line? 4. **Wait for the Open:** Let the first hour of New York pass (to form the Yellow IB Box). 5. **Set Alerts:** Right-click the chart and set alerts for "IB Breakout" or "Golden Pocket". 6. **Execute:** Switch to the **5m Chart** to find your entry trigger (FVG). --- ### 6. RISK MANAGEMENT RULES * **Stop Loss:** NEVER trade without one. Place it just outside the FVG box or the Zone. * **Risk per Trade:** 1% to 2% of your account maximum. * **No Trade Zone:** If the price is "chopping" (moving sideways) inside the Yellow IB Box, **do not trade**. Wait for a breakout.
Indicatore Pine Script®
di socke1986
1
Point of Control [BigBeluga]🔵 OVERVIEW Point of Control identifies the exact price level with the highest traded volume over a selected lookback period. This level—called the Point of Control (PoC) —marks where the greatest market participation occurred, representing a zone of highest volume. The indicator helps traders visualize dominant volume concentrations, fair-value levels, and structural balance within recent price action. 🔵 CONCEPTS Point of Control (PoC) — The single price level within the defined lookback range that has accumulated the most traded volume. Volume Distribution Bins — The price range is divided into 25 equal bins, and volume is aggregated per bin to locate the maximum concentration. Range Boundaries — The highest and lowest price within the lookback window are used to form the upper and lower reference limits. PoC Channel — Optional upper and lower bands plotted around the main PoC to visualize a fair-value corridor. Volume Intensity Mapping — Candle color dynamically shifts based on the candle’s position relative to the PoC channel, showing whether price is balanced or trending away from high-volume levels. 🔵 FEATURES Configurable Lookback Range — Adjust how many bars (10–400) are used for calculating the PoC. Precise PoC Calculation — Volume aggregation across 25 bins to identify the exact volume peak. Dynamic Channel Visualization — PoC bands above and below the central level to indicate equilibrium tolerance. Adaptive Candle Coloring — - Neutral → price inside PoC channel. Gray - Bullish → price above PoC channel. Blue 🔵 - Bearish → price below PoC channel. Orange 🟠 Automatic Volume Labeling — Displays total volume at the active PoC level for quick reference. Directional Indicators — 🔵 or 🟠 markers appear when price shifts above or below the PoC channel. Range Visualization — Plots the highest and lowest points of the active lookback window for contextual awareness. Live Updating Logic — PoC recalculates automatically every 15 bars for efficient chart performance and accuracy. 🔵 HOW TO USE Volume Anchoring — Use PoC as a reference for where the majority of volume occurred; price often reacts to or consolidates around this level. Trend Confirmation — Sustained price movement away from PoC channel may signal developing directional imbalance. Value Tracking — Watch the shifting of PoC across time to identify where fair value migrates during market evolution. Equilibrium Mapping — When price hovers around PoC, the market is balanced; when it departs, a new value zone may form. Combine With Volume Profiles — Use alongside profile tools for higher-resolution analysis of institutional activity. 🔵 CONCLUSION Point of Control provides a pure, volume-centric view of market balance by pinpointing where most transactions occurred within any chosen range. It delivers a clean and efficient visualization of fair value zones—helping traders track the heartbeat of market participation, recognize dominant liquidity areas, and stay aligned with where true market interest resides.
Indicatore Pine Script®
di BigBeluga
14
Daytrading Suite: Neon TPO + FVG v6.1Here is the summary of the code and the trading guide in English. --- ### 1. Code Summary: What does the chart show? The script combines three dimensions of trading into a single chart: * **The Context (TPO / Market Profile - Yesterday):** * **Gold Zone (Center):** Yesterday's **POC (Point of Control)**. This was the "fairest price". It often acts as a magnet. * **White Dashed Lines:** The **VAH (Value Area High)** and **VAL (Value Area Low)**. Yesterday, 70% of all trading volume happened between these lines. This is the area of "Balance". * **The Structure (HTF - 1 Hour+):** * **Red/Green Boxes (Right Edge):** Automatic **Supply & Demand Zones** based on the 1-hour chart (or your setting). They indicate major resistance and support levels. * **The Timing (Entries):** * **Neon FVG Boxes (Small):** "Fair Value Gaps". These represent imbalances in price. If price revisits these, it is often your **entry signal**. * **Lines (VWAP, EMA, PDH/PDL):** Act as dynamic support and trend indicators. --- ### 2. Trading Strategy: How to use it Do not just trade every colored spot. You must combine **Location (TPO)** with **Signal (FVG)**. #### Step A: The Open (Where are we?) In the morning (or at the US Open), check where the price is relative to the **white TPO lines**. 1. **Inside the White Lines (In Balance):** * The market is undecided. Expect ranging/choppy behavior. * **Strategy:** Buy at the bottom edge (VAL), Sell at the top edge (VAH). The target is often the Gold Zone (POC) in the middle. 2. **Outside the White Lines (Imbalance):** * The market is seeking new prices. Danger of a Trend! * **Strategy:** If price breaks above VAH and tests it from above -> **Long**. If it breaks below VAL -> **Short**. #### Step B: The Setup (The High Probability Scenario) Here is the "Rejection" Setup (Long Example): 1. Price drops to the lower white line (**VAL**) or into a green **Demand Zone**. 2. It bounces (shows a wick). 3. In the process, a small **green Neon FVG** is formed. 4. **Entry:** Limit Order at the top of the Neon FVG. 5. **Target:** The Gold Zone (POC) or the upper white line (VAH). 6. **Stop Loss:** Below the recent swing low. #### Step C: Warning Signals (When NOT to trade) * **In "No Man's Land":** If the price is sitting right in the middle between Gold (POC) and White (VAH/VAL), do nothing. The risk is 50/50. Wait until price hits an edge. * **Against the Flow:** If EMA 9 and 21 are pointing steeply downwards, do not buy blindly at the VAL just because the line is there. Wait for confirmation (FVG). ### Pre-Trade Checklist: 1. **Level:** Am I at a white line (VAH/VAL) or the Gold Zone (POC)? 2. **Structure:** Do I have an HTF Demand/Supply Zone backing me up? 3. **Trigger:** Do I see a Neon FVG pointing in my direction?
Indicatore Pine Script®
di socke1986
3
HTF Frequency Zone [BigBeluga]🔵 OVERVIEW HTF Frequency Zone highlights the dominant price level (Point of Control) and the full high–low expansion of any higher timeframe — Daily, Weekly, or Monthly. It captures the frequency of closes inside each HTF candle and plots the most traded “frequency zone”, allowing traders to easily see where price spent the most time and where buy/sell pressure accumulated. This tool transforms each higher-timeframe bar into a fully visualized structure: • Top = HTF high • Bottom = HTF low • Midline = HTF Frequency POC • Color-coded zones = bullish or bearish bias • Labels = counts of bullish and bearish candles inside the HTF range It is designed to give traders an immediate understanding of high-timeframe balance, imbalance, and price attraction zones. 🔵 CONCEPTS HTF Partitioning — Each Weekly/Daily/Monthly candle is converted into a dedicated zone with its own High, Low, and Frequency Point of Control. Frequency POC (Most Touched Price) — The indicator divides the HTF range into 100 bins and counts how many times price closed near each level. Dominant Zone — The level with the highest frequency becomes the HTF “Value Zone,” plotted as a bold central line. Directional Bias — • Bullish HTF zone • Bearish HTF zone Internal Candle Counting — Within each HTF period the indicator counts: • Buy candles (close > open) • Sell candles (close < open) This reveals whether intraperiod flow was bullish or bearish. HTF Structure Blocks — High, Low, and POC are connected across the entire higher-timeframe duration, showing the real shape of HTF balance. 🔵 FEATURES Automatic HTF Zone Construction — Generates a complete price zone every time the selected timeframe flips (Daily / Weekly / Monthly). Dynamic High & Low Extraction — The indicator scans every bar inside the HTF window to find true extremes of the range. 100-Level Frequency Scan — Each close within the period is assigned to a bin, creating a detailed distribution of price interaction. HTF POC Highlighting — The most frequent price level is plotted with a bold red line for immediate visual clarity. Bull/Bear Coloring — • Green → Bullish HTF zone. • Orange → Bearish HTF zone. Zone Shading — High–Low range is filled with a semi-transparent color matching trend direction. Buy/Sell Candle Counters — Printed at the top and bottom of each HTF block, showing how many internal candles were bullish or bearish. POC Label — Displays frequency count (how many touches) at the POC level. Adaptive Threshold Warning — If bars inside the HTF window are too few (<10), the indicator warns the trader to switch timeframe. 🔵 HOW TO USE Higher-Timeframe Biasing — Read the zone color to determine if the HTF candle leaned bullish or bearish. Value Zone Reactions — Price often reacts to the Frequency POC; use it as support/resistance or liquidity magnet. Range Context — Identify when price is trading near HTF highs (breakout potential) or lows (reversal potential). Momentum Evaluation — More bullish internal candles = internal buying pressure; more bearish = internal selling pressure. Swing Trading — Use HTF zones as the “macro map,” then execute trades on lower timeframes aligned with the zone structure. Liquidity Awareness — The HTF POC often aligns with algorithmic liquidity levels, making it a strong reaction point. 🔵 CONCLUSION HTF Frequency Zone transforms raw higher-timeframe candles into detailed distribution zones that reveal true market behavior inside the HTF structure. By showing highs, lows, buying/selling activity, and the most interacted price level (Frequency POC), this tool becomes invaluable for traders who want to align executions with powerful HTF levels, liquidity magnets, and structural zones.
Indicatore Pine Script®
di BigBeluga
3
RSI Profile [Kodexius]RSI Profile is an advanced technical indicator that turns the classic RSI into a distribution profile instead of a single oscillating line. Rather than only showing where the RSI is at the current bar, it displays where the RSI has spent most of its time or most of its volume over a user defined lookback period. The script builds a histogram of RSI values between 0 and 100, splits that range into configurable bins, and then projects the result to the right side of the chart. This gives you a clear visual representation of the RSI structure, including the Point of Control (POC), the Value Area High (VAH), and the Value Area Low (VAL). The POC marks the RSI level with the highest activity, while VAH and VAL bracket the percentage based value area around it. By combining standard RSI, a distribution profile, and value area logic, this tool lets you study RSI behavior statistically instead of only bar by bar. You can immediately see whether the current RSI reading is located inside the dominant zone, extended above it, or depressed below it, and whether the recent regime has been biased toward overbought, oversold, or neutral territory. This is particularly useful for swing traders, mean reversion systems, and anyone who wants to integrate RSI context into a more profile oriented workflow. 🔹 Features 1. RSI-Based Distribution Profile -Builds a histogram of RSI values between 0 and 100. -The RSI range is divided into a user-defined number of bins (e.g., 30 bins). -Each bin represents a band of RSI values, such as 0–3.33, 3.33–6.66, ..., 96.66–100. -For each bar in the lookback period, the script: -Finds which bin the RSI value belongs to Adds either: -1.0 → if using time/frequency -volume → if using volume-weighted RSI distribution This creates a clear profile of where RSI has been concentrated over the chosen lookback window. 2. Time / Volume Weighting Mode Under Profile Settings, you can choose: -Weight by Volume = false → Profile is built using time spent at each RSI level (frequency). -Weight by Volume = true → Profile is built using volume traded at each RSI level. This flexibility allows you to decide whether you want: -A pure momentum structure (time spent at each RSI) -Or a participation-weighted structure (where higher-volume zones are emphasized) 3. Configurable Lookback & Resolution -Profile Lookback: number of historical bars to analyze. -Number of Bins: controls the resolution of the histogram: Fewer bins → smoother, fewer gaps More bins → more detail, but potentially more visual sparsity -Profile Width (Bars): defines how wide the histogram extends into the future (visually), converted into time using average bar duration. This provides a balance between performance, clarity, and visual density. 4. Value Area, POC, VAH, VAL The script computes: -POC (Point of Control) → The RSI bin with the highest total value (time or volume). -Value Area (VA) → The range of RSI bins that contain a user-specified percentage of total activity (e.g., 70%). -VAH & VAL → Upper and lower RSI boundaries of this Value Area. These are then drawn as horizontal lines and labeled: -POC line and label -VAH line and label -VAL line and label This gives you a profile-style view similar to classical volume profile, but entirely on the RSI axis. 5. Color Coding & Visual Design The histogram bars (boxes) are colored using a smart scheme: -Below 30 RSI → Oversold zone, uses the Oversold Color (default: green). -Above 70 RSI → Overbought zone, uses the Overbought Color (default: red). -Between 30 and 70 RSI → Neutral zone, uses a gradient between: A soft blue at lower mid levels A soft orange at higher mid levels Additional styling: -POC bin is highlighted in bright yellow. -Bins inside the Value Area → lower transparency (more solid). -Bins outside the Value Area → higher transparency (faded). This makes it easy to visually distinguish: -Core RSI activity (VA) -Extremes (oversold/overbought) -The single dominant zone (POC) 🔹 Calculations This section summarizes the core logic behind the script and highlights the main building blocks that power the profile. 1. Profile Structure and Bin Initialization A custom Profile type groups together configuration, bins and drawing objects. During initialization, the script splits the 0 to 100 RSI range into evenly spaced bins, each represented by a Bin record: method initBins(Profile p) => p.bins := array.new() float step = 100.0 / p.binCount for i = 0 to p.binCount - 1 float low = i * step float high = (i + 1) * step p.bins.push(Bin.new(low, high, 0.0, box(na))) 2. Filling the Profile Over the Lookback Window On the last bar, the script clears previous drawings and walks backward through the selected lookback window. For each historical bar, it reads the RSI and volume series and feeds them into the profile: if barstate.islast myProfile.reset() int start = math.max(0, bar_index - lookback) int end = bar_index for i = 0 to (end - start) float r = rsi float v = volume if not na(r) myProfile.add(r, v) The add method converts each RSI value into a bin index and accumulates either a frequency count or the bar volume, depending on the chosen mode: method add(Profile p, float rsiValue, float volumeValue) => int idx = int(rsiValue / (100.0 / p.binCount)) if idx >= p.binCount idx := p.binCount - 1 if idx < 0 idx := 0 Bin targetBin = p.bins.get(idx) float addedValue = p.useVolume ? volumeValue : 1.0 targetBin.value += addedValue 3. Finding POC and Building the Value Area Inside the draw method, the script first scans all bins to determine the maximum value and the total sum. The bin with the highest value becomes the POC. The value area is then constructed by expanding from that center bin until the desired percentage of total activity is covered: for in p.bins totalVal += b.value if b.value > maxVal maxVal := b.value pocIdx := i float vaTarget = totalVal * (p.vaPercent / 100.0) float currentVaVol = maxVal int upIdx = pocIdx int downIdx = pocIdx while currentVaVol < vaTarget float upVol = (upIdx < p.binCount - 1) ? p.bins.get(upIdx + 1).value : 0.0 float downVol = (downIdx > 0) ? p.bins.get(downIdx - 1).value : 0.0 if upVol == 0 and downVol == 0 break if upVol >= downVol upIdx += 1 currentVaVol += upVol else downIdx -= 1 currentVaVol += downVol
Indicatore Pine Script®
di UnknownUnicorn113699460
1
PoC Migration Map [BackQuant]PoC Migration Map A volume structure tool that builds a side volume profile, extracts rolling Points of Control (PoCs), and maps how those PoCs migrate through time so you can see where value is moving, how volume clusters shift, and how that aligns with trend regime. What this is This indicator combines a classic volume profile with a segmented PoC trail. It looks back over a configurable window, splits that window into bins by price, and shows you where volume has concentrated. On top of that, it slices the lookback into fixed bar segments, finds the local PoC in each segment, and plots those PoCs as a chain of nodes across the chart. The result is a "migration map" of value: A side volume profile that shows how volume is distributed over the recent price range. A sequence of PoC nodes that show where local value has been accepted over time. Lines that connect those PoCs to reveal the path of value migration. Optional trend coloring based on EMA 12 and EMA 21, so each PoC also encodes trend regime. Used together, this gives you a structural read on where the market has actually traded size, how "value" is moving, and whether that movement is aligned or fighting the current trend. Core components Lookback volume profile - a side histogram built from all closes and volumes in the chosen lookback window. Segmented PoC trail - rolling PoCs computed over fixed bar segments, plotted as nodes in time. Trend heatmap - optional color mapping of PoC nodes using EMA 12 versus EMA 21. PoC labels - optional labels on every Nth PoC for easier reading and referencing. How it works 1) Global lookback and binning You choose: Lookback Bars - how far back to collect data. Number of Bins - how finely to split the price range. The script: Finds the highest high and lowest low in the lookback. Computes the total price range and divides it into equal binCount slices. Assigns each bar's close and volume into the appropriate price bin. This creates a discretized volume distribution across the entire lookback. 2) Side volume profile If "Show Side Profile" is enabled, a right-hand volume profile is drawn: Each bin becomes a horizontal bar anchored at a configurable "Right Offset" from the current bar. The horizontal width of each bar is proportional to that bin's volume relative to the maximum volume bin. Optionally, volume values and percentages are printed inside the profile bars. Color and transparency are controlled by: Base Profile Color and its transparency. A gradient that uses relative volume to modulate opacity between lower volume and higher volume bins. Profile Width (%) - how wide the maximum bin can extend in bars. This gives you an at-a-glance view of the volume landscape for the chosen lookback window. 3) Segmenting for PoC migration To build the PoC trail, the lookback is divided into segments: Bars per Segment - bars in each local cluster. Number of Segments - how many segments you want to see back in time. For each segment: The script uses the same price bins and accumulates volume only from bars in that segment. It finds the bin with the highest volume in that segment, which is the local PoC for that segment. It sets the PoC price to the center of that bin. It finds the "mid bar" of the segment and places the PoC node at that time on the chart. This is repeated for each segment from older to newer, so you get a chain of PoCs that shows how local value has migrated over time. 4) Trend regime and color coding The indicator precomputes: EMA 12 (Fast). EMA 21 (Slow). For each PoC: It samples EMA 12 and EMA 21 at the mid bar of that segment. It computes a simple trend score as fast EMA minus slow EMA. If trend heatmap is enabled, PoC nodes (and the lines between them) are colored by: Trend Up Color if EMA 12 is above EMA 21. Trend Down Color if EMA 12 is below EMA 21. Trend Flat Color if they are roughly equal. If the trend heatmap is disabled, PoC color is instead based on PoC migration: If the current PoC is above the previous PoC, use the Up PoC Color. If the current PoC is below the previous PoC, use the Down PoC Color. If unchanged, use the Flat PoC Color. 5) Connecting PoCs and labels Once PoC prices and times are known: Each PoC is connected to the previous one with a dotted line, using the PoC's color. Optional labels are placed next to every Nth PoC: Label text uses a simple "PoC N" scheme. Label background uses a configurable label background color. Label border is colored by the PoC's own color for visual consistency. This turns the PoCs into a visual path that can be read like a "value trajectory" across the chart. What it plots When fully enabled, you will see: A right-sided volume profile for the chosen lookback window, built from volume by price. Colored horizontal bars representing each price bin's relative volume. Optional volume text showing each bin's volume and its percentage of the profile maximum. A series of PoC nodes spaced across the chart at the mid point of each segment. Dotted lines connecting those PoCs to show the migration path of value. Optional PoC labels at each Nth node for easier reference. Color-coding of PoCs and lines either by EMA 12 / 21 trend regime or by up/down PoC drift. Reading PoC migration and market pressure Side profile as a pressure map The side profile shows where trading has been most active: Thick, opaque bars represent high volume zones and possible high interest or acceptance areas. Thin, faint bars represent low volume zones, potential rejection or transition areas. When price trades near a high volume bin, the market is sitting on an area of prior acceptance and size. When price moves quickly through low volume bins, it often does so with less friction. This gives you a static map of where the market has been willing to do business within your lookback. PoC trail as a value migration map The PoC chain represents "where value has lived" over time: An upward sloping PoC trail indicates value migrating higher. Buyers have been willing to transact at increasingly higher prices. A downward sloping trail indicates value migrating lower and sellers pushing the center of mass down. A flat or oscillating trail indicates balance or rotational behaviour, with no clear directional acceptance. Taken together, you can interpret: Side profile as "where the volume mass sits", a static pressure field. PoC trail as "how that mass has moved", the dynamic path of value. Trend heatmap as a regime overlay When PoCs are colored by the EMA 12 / 21 spread: Green PoCs mark segments where the faster EMA is above the slower EMA, that is, a local uptrend regime. Red PoCs mark segments where the faster EMA is below the slower EMA, that is, a local downtrend regime. Gray PoCs mark flat or ambiguous trend segments. This lets you answer questions like: "Is value migrating higher while the trend regime is also up?" (trend confirming value). "Is value migrating higher but most PoCs are red?" (value against the prevailing trend). "Has value started to roll over just as PoCs flip from green to red?" (early regime transition). Key settings General Settings Lookback Bars - how many bars back to use for both the global volume profile and segment profiles. Number of Bins - how many price bins to split the high to low range into. Profile Settings Show Side Profile - toggle the right-hand volume profile on or off. Profile Width (%) - how wide the largest volume bar is allowed to be in terms of bars. Base Profile Color - the starting color for profile bars, with transparency. Show Volume Values - if enabled, print volume and percent for each non-zero bin. Profile Text Color - color for volume text inside the profile. PoC Migration Settings Show PoC Migration - toggle the PoC trail plotting. Bars per Segment - the number of bars contained in each segment. Number of Segments - how many segments to build backwards from the current bar. Horizontal Spacing (bars) - spacing between PoC nodes when drawn. (Used to separate PoCs horizontally.) Label Every Nth PoC - draw labels at every Nth PoC (0 or 1 to suppress labels). Right Offset (bars) - horizontal offset to anchor the side profile on the right. Up PoC Color - color used when a PoC is higher than the previous one, if trend heatmap is off. Down PoC Color - color used when a PoC is lower than the previous one, if trend heatmap is off. Flat PoC Color - color used when the PoC is unchanged, if trend heatmap is off. PoC Label Background - background color for PoC labels. Trend Heatmap Settings Color PoCs By Trend (EMA 12 / 21) - when enabled, overrides simple up/down coloring and uses EMA-based trend colors. Fast EMA - length for the fast EMA. Slow EMA - length for the slow EMA. Trend Up Color - color for PoCs in a bullish EMA regime. Trend Down Color - color for PoCs in a bearish EMA regime. Trend Flat Color - color for neutral or flat EMA regimes. Trading applications 1) Value migration and trend confirmation Use the PoC path to see if value is following price or lagging it: In a healthy uptrend, price, PoCs, and trend regime should all lean higher. In a weakening trend, price may still move up, but PoCs flatten or start drifting lower, suggesting fewer participants are accepting the new highs. In a downtrend, persistent downward PoC migration confirms that sellers are winning the value battle. 2) Identifying acceptance and rejection zones Combine the side profile with PoC locations: High volume bins near clustered PoCs mark strong acceptance zones, good areas to watch for re-tests and decision points. PoCs that quickly jump across low volume areas can indicate rejection and fast repricing between value zones. High volume zones with mixed PoC colors may signal balance or prolonged negotiation. 3) Structuring entries and exits Use the map to refine trade location: Fade trades against value migration are higher risk unless you see clear signs of exhaustion or regime change. Pullbacks into prior PoC zones in the direction of the current PoC slope can offer higher quality entries. Stops placed beyond major accepted zones (clusters of PoCs and high volume bins) are less likely to be hit by random noise. 4) Regime transitions Watch how PoCs behave as the EMA regime changes: A flip in EMA 12 versus EMA 21, coupled with a turn in PoC slope, is a strong signal that value is beginning to move with the new trend. If EMAs flip but PoC migration does not follow, the trend signal may be early or false. A weakening PoC path (lower highs in PoCs) while trend colors are still green can warn of a late-stage trend. Best practices Start with a moderate lookback such as 200 to 300 bars and a moderate bin count such as 20 to 40. Too many bins can make the profile overly granular and sparse. Align "Bars per Segment" with your trading horizon. For example, 5 to 10 bars for intraday, 10 to 20 bars for swing. Use the profile and PoC trail as structural context rather than as a direct buy or sell signal. Combine with your existing setups for timing. Pay attention to clusters of PoCs at similar prices. Those are areas where the market has repeatedly accepted value, and they often matter on future tests. Notes This is a structural volume tool, not a complete trading system. It does not manage execution, position sizing or risk management. Use it to understand: Where the bulk of trading has occurred in your chosen window. How the center of volume has migrated over time. Whether that migration is aligned with or fighting the current trend regime. By turning PoC evolution into a visible path and adding a trend-aware heatmap, the PoC Migration Map makes it easier to see how value has been moving, where the market is likely to feel "heavy" or "light", and how that structure fits into your trading decisions.
Indicatore Pine Script®
di BackQuant
2
MFI Volume Profile [Kodexius]The MFI Volume Profile indicator blends a classic volume profile with the Money Flow Index so you can see not only where volume traded, but also how strong the buying or selling pressure was at those prices. Instead of showing a simple horizontal histogram of volume, this tool adds a money flow dimension and turns the profile into a price volume momentum heat map. The script scans a user controlled lookback window and builds a set of price levels between the lowest and highest price in that period. For every bar inside that window, its volume is distributed across the price levels that the bar actually touched, and that volume is combined with the bar’s MFI value. This creates a volume weighted average MFI for each price level, so every row of the profile knows both how much volume traded there and what the typical money flow condition was when that volume appeared. On the chart, the indicator plots a stack of horizontal boxes to the right of current price. The length of each box represents the relative amount of volume at that price, while the color represents the average MFI there. Levels with stronger positive money flow will lean toward warmer shades, and levels with weaker or negative money flow will lean toward cooler or more neutral shades inside the configured MFI band. Each row is also labeled in the format Volume , so you can instantly read the exact volume and money flow value at that level instead of guessing. This gives you a detailed map of where the market really cared about price, and whether that interest came with strong inflow or outflow. It can help you spot areas of accumulation, distribution, absorption, or exhaustion, and it does so in a compact visual that sits next to price without cluttering the candles themselves. Features Combined volume profile and MFI weighting The indicator builds a volume profile over a user selected lookback and enriches each price row with a volume weighted average MFI. This lets you study both participation and money flow at the same price level. Volume distributed across the bar price range For every bar in the window, volume is not assigned to a single price. Instead, it is proportionally distributed across all price rows between the bar low and bar high. This creates a smoother and more realistic profile of where trading actually happened. MFI based color gradient between 30 and 70 Each price row is colored according to its average MFI. The gradient is anchored between MFI values of 30 and 70, which covers typical oversold, neutral and overbought zones. This makes strong demand or distribution areas easier to spot visually. Configurable structure resolution and depth Main user inputs are the lookback length, the number of rows, the width of the profile in bars, and the label text size. You can quickly switch between coarse profiles for a big picture and higher resolution profiles for detailed structure. Numeric labels with volume and MFI per row Every box is labeled with the total volume at that level and the average MFI for that level, in the format Volume . This gives you exact values while still keeping the visual profile clean and compact. Calculations Money Flow Index calculation currentMfi is calculated once using ta.mfi(hlc3, mfiLen) as usual, Creation of the profileBins array The script creates an array named profileBins that will hold one VPBin element per price row. Each VPBin contains volume which is the total volume accumulated at that price row mfiProduct which is the sum of volume multiplied by MFI for that row The loop; for i = 0 to rowCount - 1 by 1 array.push(profileBins, VPBin.new(0.0, 0.0)) pre allocates a clean structure with zero values for all rows. Finding highest and lowest price across the lookback The script starts from the current bar high and low, then walks backward through the lookback window for i = 0 to lookback - 1 by 1 highestPrice := math.max(highestPrice, high ) lowestPrice := math.min(lowestPrice, low ) After this loop, highestPrice and lowestPrice define the full price range covered by the chosen lookback. Price range and step size for rows The code computes float rangePrice = highestPrice - lowestPrice rangePrice := rangePrice == 0 ? syminfo.mintick : rangePrice float step = rangePrice / rowCount rangePrice is the total height of the profile in price terms. If the range is zero, the script replaces it with the minimum tick size for the symbol. Then step is the price height of each row. This step size is used to map any price into a row index. Processing each bar in the lookback For every bar index i inside the lookback, the script checks that currentMfi is not missing. If it is valid, it reads the bar high, low, volume and MFI float barTop = high float barBottom = low float barVol = volume float barMfi = currentMfi Mapping bar prices to bin indices The bar high and low are converted into row indices using the known lowestPrice and step int indexTop = math.floor((barTop - lowestPrice) / step) int indexBottom = math.floor((barBottom - lowestPrice) / step) Then the indices are clamped into valid bounds so they stay between zero and rowCount - 1. This ensures that every bar contributes only inside the profile range Splitting bar volume across all covered bins Once the top and bottom indices are known, the script calculates how many rows the bar spans int coveredBins = indexTop - indexBottom + 1 float volPerBin = barVol / coveredBins float mfiPerBin = volPerBin * barMfi Here the total bar volume is divided equally across all rows that the bar touches. For each of those rows, the same fraction of volume and volume times MFI is used. Accumulating into each VPBin Finally, a nested loop iterates from indexBottom to indexTop and updates the corresponding VPBin for k = indexBottom to indexTop by 1 VPBin binData = array.get(profileBins, k) binData.volume := binData.volume + volPerBin binData.mfiProduct := binData.mfiProduct + mfiPerBin Over all bars in the lookback window, each row builds up total volume at that price range total volume times MFI at that price range Later, during the drawing stage, the script computes avgMfi = bin.mfiProduct / bin.volume for each row. This is the volume weighted average MFI used both for coloring the box and for the numeric MFI value shown in the label Volume .
Indicatore Pine Script®
di UnknownUnicorn113699460
Low Volatility Profiles [BigBeluga]🔵 OVERVIEW Low Volatility Profiles is a market compression and breakout-anticipation tool that identifies phases of low volatility using ADX and then builds a real-time volume profile inside the detected range. This helps traders spot accumulation/distribution zones and prepare for explosive moves when volatility expands. When volatility is low ➜ price coils ➜ volume organizes ➜ breakouts become highly actionable. This tool visualizes that process with dynamic range boxes + volume bins + PoC extension. 🔵 CONCEPTS Low-Volatility Detection — Uses ADX threshold & cross logic to define volatility contraction regimes. Range Construction — Draws a price box that expands with highs/lows during the compression phase. Micro Volume Profile — Builds a volume histogram inside the range using bins (micro volume nodes). Delta Calculation — Tracks positive vs negative volume to gauge buyer/seller pressure within range. Point of Control (PoC) — Highlights the price level with max traded volume inside the range. PoC Extension — Optionally extends PoC into future bars to show potential reaction zone after breakout. Breakout Validation — Ends the profile zone when price breaks above or below the modeled range. Noise Removal — Automatically removes invalid or small ranges to prevent chart clutter. This tool turns consolidation into actionable structure by exposing where smart money accumulates before trending moves. 🔵 FEATURES ADX-Driven Range Detection — Identify when market transitions into low-volatility compression. Configurable ADX Threshold — Set sensitivity for contraction zones. Cross-Type Option — Detect low volatility via cross under / crossover logic. Dynamic Range Box — Expands live with price as contraction unfolds. Micro Volume Profile (Bins) — Distributes volume across bins inside range for micro POC mapping. Volume Delta Visualization — Shows imbalance inside consolidation (accumulation vs distribution). Real-Time PoC Highlight — Instantly shows most traded price inside the compression. PoC Extension Mode — Extend PoC forward to project reaction levels post-breakout. Clean Auto-Reset Logic — Removes boxes if range invalid or breakout occurs too fast. Optional Filled Boxes — Heatmap-style profile visualization inside range body. ADX Line + Threshold Plot — Visual assistance for volatility state monitoring. 🔵 HOW TO USE Identify Accumulation Zones — When price enters low-volatility ADX condition and profile builds. Watch the PoC — PoC acts as battle zone; move above/below can signal initiator strength. Breakout Strategy — Trade break above/below the range after compression. Mean Reversion Inside Range — Fade edges while price remains inside compression box. Combine With Trend Tools — Use trend confirmation (MA/EMA/Flow indicators) after breakout. Use Delta Clues — Positive delta tilt suggests accumulation; negative suggests distribution. Monitor Range Size — Longer build + high PoC volume = stronger potential breakout energy. 🔵 CONCLUSION Low Volatility Profiles isolates accumulation phases and maps volume concentration before volatility expansion. By combining ADX compression, micro volume distribution, and PoC tracing, traders gain an edge in anticipating powerful breakout cycles and institutional positioning. Trade the quiet moment before the storm — where smart money prepares the move, and the real opportunity emerges.
Indicatore Pine Script®
di BigBeluga
11
POC Volume Bar (Highest Volume in Range)What the highlighted POC bar means 🔶 1. Institutional interest A POC often identifies where big money stepped in. 🔶 2. Support or resistance pivot Large volume often signals: • A reversal • A breakout • Or the beginning of a trend 🔶 3. Liquidity magnet Price tends to revisit high-volume bars. They act like magnets. 🔶 4. Trend confirmation or exhaustion High volume on: • Green candle → bullish participation • Red candle → distribution / aggressive selling
Indicatore Pine Script®
di greatbrownball