Stochastic Overlay - Regression Channel (Zeiierman)█ Overview
The Stochastic Overlay – Regression Channel (Zeiierman) is a next-generation visualization tool that transforms the traditional Stochastic Oscillator into a dynamic price-based overlay.
Instead of leaving momentum trapped in a lower subwindow, this indicator projects the Stochastic oscialltor directly onto price itself — allowing traders to visually interpret momentum, overbought/oversold conditions, and market strength without ever taking their eyes off price action.
⚪ In simple terms:
▸ The Bands = The Stochastic Oscillator — but on price.
▸ The Midline = Stochastic 50 level
▸ Upper Band = Stochastic Overbought Threshold
▸ Lower Band = Stochastic Oversold Threshold
When the price moves above the midline → it’s the same as the oscillator moving above 50
When the price breaks above the upper band → it’s the same as Stochastic entering overbought.
When the price reaches the lower band →, think of it like Stochastic being oversold.
This makes market conditions visually intuitive. You’re literally watching the oscillator live on the price chart.
█ How It Works
The indicator layers 3 distinct technical elements into one clean view:
⚪ Stochastic Momentum Engine
Tracks overbought/oversold conditions and directional strength using:
%K Line → Momentum of price
%D Line → Smoothing filter of %K
Overbought/Oversold Bands → Highlight potential reversal zones
⚪ Volatility Adaptive Bands
Dynamic bands plotted above and below price using:
ATR * Stochastic Scaling → Creates wider bands during volatile periods & tighter bands in calm conditions
Basis → Moving average centerline (EMA, SMA, WMA, HMA, RMA selectable)
This means:
→ In strong trends: Bands expand
→ In consolidations: Bands contract
⚪ Regression Channel
Projects trend direction with different models:
Logarithmic → Captures non-linear growth (perfect for crypto or exponential stocks)
Linear → Classic regression fit
Adaptive → Dynamically adjusts sensitivity
Leading → Projects trend further ahead (aggressive mode)
Channels include:
Midline → Fair value trend
Upper/Lower Bounds → Deviation-based support/resistance
⚪ Heatmap - Bull & Bear Power Strength
Visual heatmeter showing:
% dominance of bulls vs bears (based on close > or < Band Basis)
Automatic normalization regardless of timeframe
Table display on-chart for quick visual insight
Dynamic highlighting when extreme levels are reached
⚪ Trend Candlestick Coloring
Bars auto-color based on trend filter:
Above Basis → Bullish Color
Below Basis → Bearish Color
█ How to Use
⚪ Trend Trading
→ Use Band direction + Regression Channel to identify trend alignment
→ Longs favored when price holds above the Basis
→ Shorts favored when price stays below the Basis
→ Use the Bull & Bear heatmap to asses if the bulls or the bears are in control.
⚪ Mean Reversion
→ Look for price to interact with Upper or Lower Band extremes
→ Stochastic reaching OB/OS zones further supports reversals
⚪ Momentum Confirmation
→ Crossovers between %K and %D can confirm continuation or divergence signals
→ Especially powerful when happening at band boundaries
⚪ Strength Heatmap
→ Quickly visualize current buyer vs seller control
→ Sharp spikes in Bull Power = Aggressive buying
→ Sharp spikes in Bear Power = Heavy selling pressure
█ Why It Useful
This is not a typical Stochastic or regression tool. The tool is designed for traders who want to:
React dynamically to price volatility
Map momentum into volatility context
Use adaptive regression channels across trend styles
Visualize bull vs bear power in real-time
Follow trends with built-in reversal logic
█ Settings
Stochastic Settings
Stochastic Length → Period of calculation. Higher = smoother, Lower = faster signals.
%K Smoothing → Smooths the Stochastic line itself.
%D Smoothing → Smooths the moving average of %K for slower signals.
Stochastic Band
Band Length → Length of the Moving Average Basis.
Volatility Multiplier → Controls band width via ATR scaling.
Band Type → Choose MA type (EMA, SMA, WMA, HMA, RMA).
Regression Channel
Regression Type → Logarithmic / Linear / Adaptive / Leading.
Regression Length → Number of bars for regression calculation.
Heatmap Settings
Heatmap Length → Number of bars to calculate bull/bear dominance.
-----------------
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.
Heatmap
Daily Performance HeatmapThis script displays a customizable daily performance heatmap for key assets across crypto, equities, bonds, commodities, currencies, and volatility indices.
Each cell shows the current price and the percent change since the daily open, color-coded using a gradient from negative to positive. Assets are arranged in a left-to-right, top-down grid, with adjustable layout and styling.
⚙️ Features:
🔢 Displays current price and daily % change
🎨 Color-coded heatmap using customizable gradients
🧱 Adjustable layout: number of columns, cell size, and text size
🧠 Smart price formatting (no decimals for BTC, Gold, etc.)
🪟 Clean alignment with padded spacing for UI clarity
🛠️ Future plans:
User-input asset lists and labels
Category grouping and dynamic sorting
Optional icons, tooltips, or alerts
ZVOL — Z-Score Volume Heatmapⓩ ZVOL transforms raw volume into a statistically calibrated heatmap using Z-score thresholds. Unlike classic volume indicators that rely on fixed MA comparisons, ZVOL calculates how many standard deviations each volume bar deviates from its mean. This makes the reading adaptive across timeframes and assets, in order to distinguish meaningful crowd behavior from random volatility.
📊 The core display is a five-zone histogram, each encoded by color and statistical depth. Optional background shading mirrors these zones across the entire pane, revealing subtle compression or structural rhythm shifts across time. By grounding the volume reading in volatility-adjusted context, ZVOL inhibits impulsive trading tactics by compelling the structure, not the sentiment, to dictate the signal.
🥵 Heatmap Coloration:
🌚 Suppressed volume — congestion, coiling phases
🩱 Stable flow — early trend or resting volume
🏀 High activity — emerging pressure
💔 Extreme — possible climax or institutional print
🎗️ A dynamic Fibonacci-based 21:34-period EMA ribbon overlays the histogram. The fill area inverts color on crossover, providing a real-time read on tempo, expansion, or divergence between price structure and crowd effort.
💡 LTF Usage Suggestions:
• Confirm breakout legs when orange or red zones align with range exits
• Fade overextended moves when red bars appear into resistance
• Watch for rising EMAs and orange volume to front-run impulsive moves
• Combine with volatility suppression (e.g. ATR) to catch compression → expansion transitions
🥂 Ideal Pairings:
• OBVX Conviction Bias — to confirm directional intent behind volume shifts
• SUPeR TReND 2.718 — for directional filters
• ATR Turbulence Ribbon — to detect compression phases
👥 The OBVX Conviction Bias adds a second dimension to ZVOL by revealing whether crowd effort is aligning with price direction or diverging beneath the surface. While ZVOL identifies statistical anomalies in raw volume, OBVX tracks directional commitment using cumulative volume and moving average cross logic. Use them together to spot fake-outs, anticipate structure-confirmed breakouts, or time pullbacks with volume-based conviction.
🔬 ZVOL isn’t just a volume filter — it’s a structural lens. It reveals when crowd effort is meaningful, when it's fading, and when something is about to shift. Designed for structure-aware traders who care about context, not noise.
Correlation Heatmap█ OVERVIEW
This indicator creates a correlation matrix for a user-specified list of symbols based on their time-aligned weekly or monthly price returns. It calculates the Pearson correlation coefficient for each possible symbol pair, and it displays the results in a symmetric table with heatmap-colored cells. This format provides an intuitive view of the linear relationships between various symbols' price movements over a specific time range.
█ CONCEPTS
Correlation
Correlation typically refers to an observable statistical relationship between two datasets. In a financial time series context, it usually represents the extent to which sampled values from a pair of datasets, such as two series of price returns, vary jointly over time. More specifically, in this context, correlation describes the strength and direction of the relationship between the samples from both series.
If two separate time series tend to rise and fall together proportionally, they might be highly correlated. Likewise, if the series often vary in opposite directions, they might have a strong anticorrelation . If the two series do not exhibit a clear relationship, they might be uncorrelated .
Traders frequently analyze asset correlations to help optimize portfolios, assess market behaviors, identify potential risks, and support trading decisions. For instance, correlation often plays a key role in diversification . When two instruments exhibit a strong correlation in their returns, it might indicate that buying or selling both carries elevated unsystematic risk . Therefore, traders often aim to create balanced portfolios of relatively uncorrelated or anticorrelated assets to help promote investment diversity and potentially offset some of the risks.
When using correlation analysis to support investment decisions, it is crucial to understand the following caveats:
• Correlation does not imply causation . Two assets might vary jointly over an analyzed range, resulting in high correlation or anticorrelation in their returns, but that does not indicate that either instrument directly influences the other. Joint variability between assets might occur because of shared sensitivities to external factors, such as interest rates or global sentiment, or it might be entirely coincidental. In other words, correlation does not provide sufficient information to identify cause-and-effect relationships.
• Correlation does not predict the future relationship between two assets. It only reflects the estimated strength and direction of the relationship between the current analyzed samples. Financial time series are ever-changing. A strong trend between two assets can weaken or reverse in the future.
Correlation coefficient
A correlation coefficient is a numeric measure of correlation. Several coefficients exist, each quantifying different types of relationships between two datasets. The most common and widely known measure is the Pearson product-moment correlation coefficient , also known as the Pearson correlation coefficient or Pearson's r . Usually, when the term "correlation coefficient" is used without context, it refers to this correlation measure.
The Pearson correlation coefficient quantifies the strength and direction of the linear relationship between two variables. In other words, it indicates how consistently variables' values move together or in opposite directions in a proportional, linear manner. Its formula is as follows:
𝑟(𝑥, 𝑦) = cov(𝑥, 𝑦) / (𝜎𝑥 * 𝜎𝑦)
Where:
• 𝑥 is the first variable, and 𝑦 is the second variable.
• cov(𝑥, 𝑦) is the covariance between 𝑥 and 𝑦.
• 𝜎𝑥 is the standard deviation of 𝑥.
• 𝜎𝑦 is the standard deviation of 𝑦.
In essence, the correlation coefficient measures the covariance between two variables, normalized by the product of their standard deviations. The coefficient's value ranges from -1 to 1, allowing a more straightforward interpretation of the relationship between two datasets than what covariance alone provides:
• A value of 1 indicates a perfect positive correlation over the analyzed sample. As one variable's value changes, the other variable's value changes proportionally in the same direction .
• A value of -1 indicates a perfect negative correlation (anticorrelation). As one variable's value increases, the other variable's value decreases proportionally.
• A value of 0 indicates no linear relationship between the variables over the analyzed sample.
Aligning returns across instruments
In a financial time series, each data point (i.e., bar) in a sample represents information collected in periodic intervals. For instance, on a "1D" chart, bars form at specific times as successive days elapse.
However, the times of the data points for a symbol's standard dataset depend on its active sessions , and sessions vary across instrument types. For example, the daily session for NYSE stocks is 09:30 - 16:00 UTC-4/-5 on weekdays, Forex instruments have 24-hour sessions that span from 17:00 UTC-4/-5 on one weekday to 17:00 on the next, and new daily sessions for cryptocurrencies start at 00:00 UTC every day because crypto markets are consistently open.
Therefore, comparing the standard datasets for different asset types to identify correlations presents a challenge. If two symbols' datasets have bars that form at unaligned times, their correlation coefficient does not accurately describe their relationship. When calculating correlations between the returns for two assets, both datasets must maintain consistent time alignment in their values and cover identical ranges for meaningful results.
To address the issue of time alignment across instruments, this indicator requests confirmed weekly or monthly data from spread tickers constructed from the chart's ticker and another specified ticker. The datasets for spreads are derived from lower-timeframe data to ensure the values from all symbols come from aligned points in time, allowing a fair comparison between different instrument types. Additionally, each spread ticker ID includes necessary modifiers, such as extended hours and adjustments.
In this indicator, we use the following process to retrieve time-aligned returns for correlation calculations:
1. Request the current and previous prices from a spread representing the sum of the chart symbol and another symbol ( "chartSymbol + anotherSymbol" ).
2. Request the prices from another spread representing the difference between the two symbols ( "chartSymbol - anotherSymbol" ).
3. Calculate half of the difference between the values from both spreads ( 0.5 * (requestedSum - requestedDifference) ). The results represent the symbol's prices at times aligned with the sample points on the current chart.
4. Calculate the arithmetic return of the retrieved prices: (currentPrice - previousPrice) / previousPrice
5. Repeat steps 1-4 for each symbol requiring analysis.
It's crucial to note that because this process retrieves prices for a symbol at times consistent with periodic points on the current chart, the values can represent prices from before or after the closing time of the symbol's usual session.
Additionally, note that the maximum number of weeks or months in the correlation calculations depends on the chart's range and the largest time range common to all the requested symbols. To maximize the amount of data available for the calculations, we recommend setting the chart to use a daily or higher timeframe and specifying a chart symbol that covers a sufficient time range for your needs.
█ FEATURES
This indicator analyzes the correlations between several pairs of user-specified symbols to provide a structured, intuitive view of the relationships in their returns. Below are the indicator's key features:
Requesting a list of securities
The "Symbol list" text box in the indicator's "Settings/Inputs" tab accepts a comma-separated list of symbols or ticker identifiers with optional spaces (e.g., "XOM, MSFT, BITSTAMP:BTCUSD"). The indicator dynamically requests returns for each symbol in the list, then calculates the correlation between each pair of return series for its heatmap display.
Each item in the list must represent a valid symbol or ticker ID. If the list includes an invalid symbol, the script raises a runtime error.
To specify a broker/exchange for a symbol, include its name as a prefix with a colon in the "EXCHANGE:SYMBOL" format. If a symbol in the list does not specify an exchange prefix, the indicator selects the most commonly used exchange when requesting the data.
Note that the number of symbols allowed in the list depends on the user's plan. Users with non-professional plans can compare up to 20 symbols with this indicator, and users with professional plans can compare up to 32 symbols.
Timeframe and data length selection
The "Returns timeframe" input specifies whether the indicator uses weekly or monthly returns in its calculations. By default, its value is "1M", meaning the indicator analyzes monthly returns. Note that this script requires a chart timeframe lower than or equal to "1M". If the chart uses a higher timeframe, it causes a runtime error.
To customize the length of the data used in the correlation calculations, use the "Max periods" input. When enabled, the indicator limits the calculation window to the number of periods specified in the input field. Otherwise, it uses the chart's time range as the limit. The top-left corner of the table shows the number of confirmed weeks or months used in the calculations.
It's important to note that the number of confirmed periods in the correlation calculations is limited to the largest time range common to all the requested datasets, because a meaningful correlation matrix requires analyzing each symbol's returns under the same market conditions. Therefore, the correlation matrix can show different results for the same symbol pair if another listed symbol restricts the aligned data to a shorter time range.
Heatmap display
This indicator displays the correlations for each symbol pair in a heatmap-styled table representing a symmetric correlation matrix. Each row and column corresponds to a specific symbol, and the cells at their intersections correspond to symbol pairs . For example, the cell at the "AAPL" row and "MSFT" column shows the weekly or monthly correlation between those two symbols' returns. Likewise, the cell at the "MSFT" row and "AAPL" column shows the same value.
Note that the main diagonal cells in the display, where the row and column refer to the same symbol, all show a value of 1 because any series of non-na data is always perfectly correlated with itself.
The background of each correlation cell uses a gradient color based on the correlation value. By default, the gradient uses blue hues for positive correlation, orange hues for negative correlation, and white for no correlation. The intensity of each blue or orange hue corresponds to the strength of the measured correlation or anticorrelation. Users can customize the gradient's base colors using the inputs in the "Color gradient" section of the "Settings/Inputs" tab.
█ FOR Pine Script® CODERS
• This script uses the `getArrayFromString()` function from our ValueAtTime library to process the input list of symbols. The function splits the "string" value by its commas, then constructs an array of non-empty strings without leading or trailing whitespaces. Additionally, it uses the str.upper() function to convert each symbol's characters to uppercase.
• The script's `getAlignedReturns()` function requests time-aligned prices with two request.security() calls that use spread tickers based on the chart's symbol and another symbol. Then, it calculates the arithmetic return using the `changePercent()` function from the ta library. The `collectReturns()` function uses `getAlignedReturns()` within a loop and stores the data from each call within a matrix . The script calls the `arrayCorrelation()` function on pairs of rows from the returned matrix to calculate the correlation values.
• For consistency, the `getAlignedReturns()` function includes extended hours and dividend adjustment modifiers in its data requests. Additionally, it includes other settings inherited from the chart's context, such as "settlement-as-close" preferences.
• A Pine script can execute up to 40 or 64 unique `request.*()` function calls, depending on the user's plan. The maximum number of symbols this script compares is half the plan's limit, because `getAlignedReturns()` uses two request.security() calls.
• This script can use the request.security() function within a loop because all scripts in Pine v6 enable dynamic requests by default. Refer to the Dynamic requests section of the Other timeframes and data page to learn more about this feature, and see our v6 migration guide to learn what's new in Pine v6.
• The script's table uses two distinct color.from_gradient() calls in a switch structure to determine the cell colors for positive and negative correlation values. One call calculates the color for values from -1 to 0 based on the first and second input colors, and the other calculates the colors for values from 0 to 1 based on the second and third input colors.
Look first. Then leap.
Liquidation Zones | OpusLiquidation Zones | Opus
A sophisticated indicator that visualizes potential liquidation levels across multiple leverage ranges, helping traders identify high-risk price zones and potential market reversal points.
🔑 Key Features :
Multi-leverage Analysis : Tracks liquidation zones for 5x, 10x, 25x, 50x, and 100x leverage positions
Volume-Weighted Detection : Incorporates volume analysis to identify significant liquidation levels
Dynamic Pivot Integration : Uses pivot points to determine key price levels
Modern Visual Design : Clean, gradient-based visualization with customizable colors
Real-time Dashboard : Interactive display showing active liquidation zones
⚙️ Settings:
Customizable time period for analysis
Adjustable volume lookback period
Individual toggle for each leverage level
Fully customizable colors for long/short liquidations
Adjustable line thickness for better visibility
📊 How it Works:
The indicator calculates potential liquidation levels based on:
Volume conditions relative to historical averages
Pivot point analysis for trend direction
Leverage-specific risk percentages
Real-time price action
🎯 Use Cases:
Identify potential reversal zones where forced liquidations may occur
Spot areas of high liquidation risk
Plan entries and exits around major liquidation levels
Gauge market risk through volume-weighted liquidation analysis
💡 Trading Tips:
Watch for price approaching multiple liquidation zones
Higher volume near liquidation levels suggests increased probability of triggers
Use in conjunction with other indicators for confirmation
Monitor the dashboard for active liquidation zones in real-time
This indicator is perfect for traders who want to :
Understand market risk structure
Identify potential reversal points
Manage risk around major liquidation levels
Track institutional-grade liquidation data
Note :
This indicator works best on liquid markets with significant leverage trading activity (crypto, futures, forex).
Disclaimer ⚠️
The Liquidation Zones) is a tool designed to assist traders in analyzing market trends and is not intended as financial advice. Trading and investing involve significant risks, including the potential loss of capital.
Users should conduct their own research, assess their risk tolerance, and make independent investment decisions. The creators of Liquidation Zones are not responsible for any financial outcomes resulting from its use.
Sector ETFsSector ETFs
Cool unobtrusive way to keep your eye on the market or tickers of your choice without leaving your chart - Can keep you clued into relative strength and weakness between sectors as well as sector rotation.
This script tracks the percentage changes of a list of Sector ETFs and displays the results in a table on the chart. It also triggers an alert when all selected ETFs are either positive (green) or negative (red).
Key Features
1. Input: Users can amend the list of ETF symbols and basically fill the table with tickers of their preferred stocks
2. Percentage Change: Calculates the daily percentage change for each ETF or chosen stock
3. Color-Coding: This script is live in real time and dynamic the ETFs will be green if higher than the previous close (positive change), really bright green (>=10%), or red if lower than the previous close (negative change).
4. Table displays ETFs and their percentage changes at the top-right of the chart.
5. Alert Condition: Triggers an alert when all ETFs are simultaneously green or simultaneously red - this is done by right clicking on the table or going into settings. please note there will be a TV caution due to an indictor that can be repainted
How to Use
1. Add the script to your TradingView chart.
2. Keep or customize the ETF list by editing the input field.
3. The table will show each ETF's change and color-coded performance.
4. Set alerts based on the condition "All ETFs Turned Green or Red".
Also note pre and post market movements will not be captured by this indicator (did try does not appear to be possible - Pine Script limitation ) all movement is in comparison to prior close in regular market hours .
Does work in replay mode
Enjoy - Hope it helps with your trading !
liquidation Heatmap [by Alpha_Precision_Charts]Indicator Description: Heatmap Longs/Shorts with OI Sensitivity & Aggregated Tools
Overview
The "Heatmap Longs/Shorts with OI Sensitivity & Aggregated Tools" is an advanced, multi-functional indicator crafted for futures traders seeking a deeper understanding of market dynamics. This tool integrates several key features—Heatmap of Longs and Shorts with Open Interest (OI) sensitivity, Histograms, Liquidity Exit Bubbles, Volume Bubbles, RSI Labels, Moving Averages, and an OI Table—into a single, cohesive package. By pulling real-time OI data from major exchanges (Binance, BitMEX, OKX, Kraken), it offers a robust framework for analyzing liquidity, order flow, momentum, and trends across various timeframes.
Why Aggregation Matters
Market analysis thrives on combining diverse insights, as relying on a single tool often leaves gaps in understanding. Each component of this indicator addresses a distinct aspect of market behavior:
Heatmap Longs/Shorts with OI Sensitivity: Maps potential liquidation zones based on OI, pinpointing where leveraged positions might cluster.
Histograms: Visualize the density of potential liquidity across price levels, enhancing OI-based analysis.
OI Table: Provides a breakdown of OI across all supported exchanges, offering transparency into total market exposure.
Liquidity Exit Bubbles: Highlight significant position exits (negative OI delta), signaling potential reversals or liquidations.
Volume Bubbles: Detect high-volume events from perpetual futures, revealing aggressive market participation.
RSI Labels: Track momentum with overbought and oversold conditions, refining entry and exit timing.
Moving Averages: Establish trend direction and dynamic support/resistance levels.
The power of aggregation lies in its ability to connect these dots. For instance, the Heatmap identifies potential liquidation zones, Volume Bubbles confirm aggressive moves, and RSI Labels add momentum context. Histograms and the OI Table further enrich this by detailing liquidity density and market exposure, creating a comprehensive view critical for navigating volatile markets.
Key Features
Heatmap Longs/Shorts with OI Sensitivity
Displays potential liquidation levels above (Shorts) and below (Longs) the price, with leverage settings from 5x to 125x.
Includes a Minimum Liquidity Sensitivity filter (0.1-1.0) to exclude small-order noise.
Features a dynamic gradient (purple to yellow) with adjustable intensity based on OI.
Note: Exact trader leverage isn’t known; liquidation zones are inferred from market psychology, as traders often favor specific leverage levels (e.g., 25x, 50x, 125x).
Histograms
Display the density of potential liquidity across price levels, complementing the Heatmap. Note that the largest histogram bars may appear in different locations compared to the most intense (yellow) areas of the Heatmap, as histograms primarily focus on the accumulation of smaller orders.
OI Table
Aggregates OI data from all supported exchanges (Binance, BitMEX, OKX, Kraken) in base currency and USD, sortable by volume.
Displays total OI and individual exchange contributions automatically.
Liquidity Exit Bubbles
Plots bubbles for significant negative OI changes, sized as small, medium, or large based on magnitude.
Positioned above or below candles depending on volatility direction, with customizable colors.
Volume Bubbles
Marks high-volume activity from perpetual futures, with sizes (normal, high, ultra-high) tied to intensity.
Offers adjustable sensitivity and offset for precise placement.
RSI Labels
Provides real-time RSI readings, highlighting overbought (≥70) and oversold (≤30) levels.
Configurable by price source (e.g., High/Low, Close) and timeframe, with customizable appearance.
Moving Averages
Supports SMA, EMA, WMA, and VWMA with three user-defined periods (default: 21, 50, 100).
Toggleable visibility and colors for trend analysis.
How to Use
Scalping/Day Trading (1m-15m):
Load the indicator three times: one at 125x leverage (visible), one at 50x (hidden), and one at 25x (hidden). Use the 125x Heatmap to identify immediate liquidation zones. When price breaks through the 125x liquidity pool, enable the 50x instance, then 25x as needed, to track cascading liquidations.
Pair with Histograms to monitor potential liquidity density, Volume Bubbles for breakout signals, and Liquidity Exit Bubbles for reversals.
Check RSI Labels on short timeframes (e.g., 15m) for overextended moves.
Swing Trading (1H-4H):
Set the Heatmap to lower leverage (e.g., 25x, 10x) and combine with Moving Averages to confirm trends.
Use RSI Labels on matching timeframes to time entries/exits based on momentum.
Reference the OI Table to assess overall market exposure.
Liquidity Analysis:
Adjust the Minimum Liquidity Sensitivity to focus on significant OI clusters. Higher filtering removes small orders, so use Volume Bubbles and the OI Table for broader context in sideways markets.
Use the OI Table to see total OI across all exchanges.
General Tips:
Toggle features (e.g., Bubbles, MAs) to focus on relevant data.
Test settings on your asset—optimized for Bitcoin, adjustable for altcoins.
Settings
Exchanges: Data from Binance, BitMEX, OKX, and Kraken is automatically included.
Heatmap: Enable Longs/Shorts, set start date, adjust leverage and color intensity.
Liquidity Filtering: Tune Minimum Liquidity Sensitivity (0.1-1.0) to balance detail and noise.
Histograms: Automatically active, showing potential liquidity density; no direct settings.
OI Table: Toggle visibility and choose position (e.g., Top Right).
Bubbles: Enable/disable Liquidity Exit and Volume Bubbles, set sensitivities and colors.
RSI: Pick price source, timeframe, and label style (size, color, offset).
Moving Averages: Select type, periods, and visibility.
Why It’s Unique
This indicator blends liquidity tools (Heatmap, Histograms, OI Table, Bubbles) with momentum and trend analysis (RSI, MAs). The adjustable Heatmap intensity enhances visibility of significant OI levels, while the multi-tool approach provides a fuller market perspective.
Notes
Best suited for perpetual futures; test on spot or other instruments for compatibility.
High leverage (e.g., 125x) excels on short timeframes; use 5x-25x for daily/weekly views.
Experiment with settings to optimize for your asset and timeframe.
This indicator relies on the availability of Open Interest (OI) data from TradingView. Functionality may vary depending on data access for your chosen asset and exchange.
Feedback
Your input is valued to enhance this tool. Enjoy trading with a fuller market perspective!
HTF Candle Volume Thermometer [ChartPrime]The HTF Candle Volume Thermometer is a powerful volume heatmap tool that visualizes higher timeframe candle volume distributions directly on the chart. It helps traders identify key price levels where liquidity is concentrated, allowing for more informed trading decisions.
⯁ KEY FEATURES
Higher Timeframe Volume Mapping
Uses higher timeframe (HTF) candles to create a heatmap of volume distribution within each candle.
Dynamic Volume Heatmap
Colors each HTF candle background green for bullish and red for bearish, with a gradient heat overlay highlighting volume concentration.
Max Volume Point Identification
Marks the level within each HTF candle where the highest volume was recorded, using red for the most significant volume area.
Fully Customizable Display
Users can adjust the HTF timeframe, color settings, and resolution to tailor the indicator to their trading preferences.
Segmented Volume Distribution
Each HTF candle is divided into smaller levels, allowing traders to see volume changes within the range of each candle.
Key Level Detection
Max volume points often act as key support and resistance levels where price is likely to react, helping traders refine their strategies.
⯁ HOW TO USE
Identify Liquidity Zones
Use the max volume levels to determine areas where price is likely to find support or resistance.
Assess Trend Strength
Compare volume distribution between bullish and bearish HTF candles to gauge market momentum.
Optimize Trade Entries & Exits
Look for price reactions at high-volume areas to refine stop-loss and take-profit levels.
Adjust Heatmap Resolution
Customize the resolution setting to get a more detailed or broader view of volume segmentation within HTF candles.
⯁ CONCLUSION
The HTF Candle Volume Thermometer is a must-have tool for traders who want to integrate volume analysis with higher timeframe structures. By visualizing volume heatmaps within each HTF candle, this indicator helps traders pinpoint critical liquidity zones and key price levels.
Heatmap Suite [PhenLabs]📊 Heatmap Suite
Version: PineScript™ v6
📌 Description
The Heatmap Suite is an advanced technical analysis tool that combines multiple density calculation methods with dynamic visualization to identify significant price levels and trading activity zones. It features a sophisticated analysis system that processes price and volume data through various kernel methods, providing traders with insights into market structure, support/resistance zones, and potential price reaction areas.
🚀 Points of Innovation:
Multi-method density calculation incorporating three distinct approaches
Adaptive visualization system with dynamic color gradients
Real-time dashboard with key market metrics
Significant level detection with automatic threshold adjustment
🚨 Important🚨
🔸Comprehensive tooltips included in the PhenLabs dashboard for in depth guidance
🔧 Core Components
Density Analysis: Multiple calculation methods for price distribution assessment
Heat Mapping: Dynamic visualization of price congestion zones
Level Detection: Automatic identification of significant price levels
Dashboard System: Real-time market metrics and analysis
🔥 Key Features
The indicator provides comprehensive analysis through:
Kernel Density: Traditional balanced view of price distribution
Exponential Kernel: Time-weighted analysis emphasizing recent price action
Volume-Weighted: Focus on high-volume price areas
Significant Levels: Automatic detection of important price zones
Heat Distribution: Color-coded visualization of price congestion
🎨 Visualization
Heat Zones: Shows intensity of price activity
Significant Lines: Key level indicators
Color Gradients: Indicates density strength
Dashboard Display: Real-time metrics
Dynamic Opacity: Reflects density intensity
📖 Usage Guidelines
The indicator offers several customization options:
Basic Settings:
Calculation Method: Choose between three density calculation approaches
Lookback Period: Analysis timeframe adjustment
Zone Count: Price range division granularity
Heat Sensitivity: Contrast adjustment for visualization
🎛️ Visual Settings:
Dashboard Size: Text size customization
Position: Dashboard placement options
Color Scheme: Heat map gradient visualization
Level Display: Significant price zone indicators
✅ Best Use Cases:
Identify strong support/resistance zones through high-density areas
Spot potential price reversal zones at significant levels
Analyze price congestion patterns
Monitor real-time changes in market structure
⚠️ Limitations
Requires sufficient historical data
Computational intensity increases with longer lookback periods
Heat sensitivity needs adjustment based on market conditions
Dashboard placement may need adjustment based on price action
💡 What Makes This Unique
Multi-method Analysis: Three distinct calculation approaches
Adaptive Visualization: Dynamic color gradient system
Real-time Metrics: Comprehensive dashboard display
Automatic Level Detection: Significant price zone identification
Memory-efficient Design: Optimized calculation methods
🔬 How It Works
The indicator processes market data through four main components:
1. Density Calculation:
Processes price and volume data
Applies selected kernel method
Generates density distribution
2. Heat Mapping:
Converts density values to color gradients
Updates visualization in real-time
Displays price congestion zones
3. Level Detection:
Identifies significant price levels
Applies threshold filtering
Marks important zones
4. Dashboard Updates:
Calculates real-time metrics
Updates display components
Provides market context
💡Note:
The indicator performs best with adequate historical data and proper sensitivity settings. Its sophisticated density analysis provides valuable insights into market structure beyond traditional support/resistance indicators.
WhaleTrackBITGET:BTCUSDT.P
WhaleTrack – Volume Heatmap to Uncover Institutional Trading Activity
Overview
WhaleTrack is a volume-based heatmap indicator designed to reveal areas of high institutional trading activity. The indicator helps traders identify hidden support and resistance levels, analyze trend sustainability, and optimize stop-loss placements by displaying where significant market participants (whales) have historically traded in large volumes.
Institutions and large traders often push price into areas of historical liquidity to trigger retail stop-losses and fill their own large orders at optimal prices. WhaleTrack visualizes these critical areas, allowing traders to anticipate future price movements based on past institutional behavior.
How WhaleTrack Works
WhaleTrack analyzes historical trading volume and calculates a normalized volume intensity relative to the moving average (SMA). This data is then mapped onto a heatmap that highlights key liquidity zones.
1. Volume Normalization & SMA-Based Calculation
The script calculates the ratio of current volume to its SMA-based average.
Zones with significantly high volume spikes are identified as key liquidity areas where large traders may have accumulated or distributed assets.
The volume is quantized into different levels, ranging from Low to Extreme, creating a clear heatmap gradient.
2. Why Do Whales Manipulate Liquidity?
Large traders (whales) need liquidity to execute their orders.
They push price into historical high-volume areas to trigger stop-losses and force retail traders into selling.
This behavior allows them to accumulate at lower prices or distribute at higher prices before a major move.
Whale zones often act as support/resistance because institutions tend to protect their previous accumulation or distribution levels.
3. Heatmap Color Model & Zone Classification
WhaleTrack assigns volume intensity levels based on historical market participation:
Low → Minimal volume, weak interest
Low-Mid → Slightly increased volume
Mid → Standard trading activity, no major anomalies
Mid-High → Significant increase in volume, possible whale activity
High → Strong liquidity pool, institutional interest
Extreme → Highly concentrated volume, key reversal area
By observing these zones, traders can determine whether a price level is likely to hold as support or resistance , or if a breakout has the strength to sustain.
Trading Applications of WhaleTrack
WhaleTrack can be used to identify trade setups based on liquidity behavior:
1. Identifying Hidden Reversal Points (Support & Resistance)
Large Whale Zones below price → Likely strong support.
Large Whale Zones above price → Likely strong resistance.
These zones often lead to reversals, as large traders defend their previous positions.
2. Evaluating Trend Sustainability
A strong uptrend should leave multiple high-volume zones behind.
If no new high-volume zones form, the trend may be unsustainable.
High volume clusters in trend direction? → Likely trend continuation.
3. Optimizing Stop-Loss Placement
Placing stops inside whale zones increases stop-out risk.
Setting stops below whale buy zones protects against premature liquidation.
Stops above whale sell zones help avoid fake breakouts.
Customization & Settings
WhaleTrack is designed with flexibility in mind, offering multiple customization options:
1. Layout & Color Models
WhaleTrack Default – optimized for whale volume tracking
Model 1 & Model 2 – alternative heatmap color schemes
Contrast Mode – high visibility
White-Black & Black-White – for different chart backgrounds
Custom 1 & Custom 2 – user-defined color configurations
2. Advanced Options
Draw Full Candle Boxes – display full candle height or a partial range
Legend Visibility & Positioning – control placement of the heatmap legend
Exponential Color Model – choose between logarithmic and linear volume representation
Max Transparency Settings – adjust visibility of older zones
Number of Heatmap Colors – set the gradient sensitivity
3. Data Optimization Settings
Lookback Period – define how many bars are analyzed for volume normalization
Max Box Display – limit the number of displayed volume zones
Data Saver Mode – increase range at the expense of detail
Minimum Volume Threshold – filter out insignificant volume clusters
Disclaimer
This indicator is for educational and informational purposes only. It does not provide financial advice or guarantee future performance. Trading is risky—conduct your own research before making any investment decisions.
Dynamic Deviation Levels [BigBeluga]Dynamic Deviation Levels is an innovative indicator designed to analyze price deviations relative to a smoothed midline. It provides traders with visual cues for overbought/oversold zones, price momentum, levels through labeled deviations and gradient candle coloring.
🔵Key Features:
Smoothed Midline:
A central line calculated as a smoothed median of the price source, serving as the baseline for price deviation analysis.
Dynamic Deviation Levels:
- Three deviation levels are plotted above and below the midline, with labels (1, 2, 3, -1, -2, -3) marking significant price movements.
- Helps traders identify overbought and oversold market conditions.
Heat-Colored Candles:
- Candle colors shift in intensity based on the deviation level, with four gradient shades for both upward and downward movements.
- Quickly highlights market extremes or stable zones.
Interactive Color Scale:
- A gradient scale at the bottom right of the chart visually represents deviation values.
- A triangle marker indicates the current price deviation in real time.
Optional Deviation Levels Display:
- Traders can enable all dynamic levels on the chart to visualize support and resistance areas dynamically.
🔵Usage and Benefits:
Identify Overbought/Oversold Zones: Use labeled deviation levels and heat-colored candles to spot stretched market conditions.
Track Trend Reversals and Momentum: Monitor price interactions with deviation levels for potential trend continuation or reversal signals.
Real-Time Deviation Insights: Leverage the color scale and triangle marker for live deviation tracking and actionable insights.
Map Dynamic Support and Resistance: Enable dynamic levels to highlight key areas where price reactions are likely to occur.
Dynamic Deviation Levels is an indispensable tool for traders aiming to combine price dynamics, momentum analysis, and visual clarity in their trading strategies.
[COG]MTF RZP Heatmap MTF RZP Heatmap (Range Zone Pulse)
What It Does
This indicator creates three visual heatmaps that show how current price movement compares to the average range of different timeframes. It helps traders:
Identify when price moves are overextended
Compare momentum across different timeframes
Spot potential reversal points
Understand the relative strength of price movements
How It Works
Range Calculation:
For each selected timeframe, it calculates an average range based on the specified number of periods
The range is measured from high to low for each period
A moving average of these ranges creates a dynamic "normal" range for that timeframe
Position Calculation:
Measures how far price has moved from the period's opening price
Compares this movement to the average range
Converts the movement into a percentage (-100% to +100%)
Visual Display:
Shows three vertical heatmaps, one for each timeframe
Colors graduate from bearish (typically red) to bullish (typically green)
A dot indicator shows the current position within each range
Percentage labels show exact movement relative to average range
Trading Applications
Trend Trading:
Multiple timeframes aligned in the same color suggest strong trend
Use larger timeframes (Daily/Weekly) for trend direction
Use smaller timeframes (4H/1H) for entry timing
Mean Reversion:
Extreme readings (near +100% or -100%) suggest overextended moves
Look for divergences between timeframes
Use when shorter timeframes show extremes but larger timeframes don't
Volatility Trading:
Compare current moves to average ranges
Identify when markets are more volatile than usual
Adjust position sizes based on range expansion/contraction
Multi-Timeframe Analysis:
Compare price action across different time horizons
Identify conflicting signals between timeframes
Use for timeframe alignment in trading decisions
Best Practices for Usage
Timeframe Selection:
Set the first timeframe to your trading timeframe
Set the second timeframe to your trend timeframe
Set the third timeframe to your entry timeframe
Range Period Settings:
Default is 5 periods
Increase for more stable readings
Decrease for more responsive readings
Color Interpretation:
Darker colors indicate stronger moves
Look for alignment across timeframes
Watch for extremes in any timeframe
Trading Setups:
Wait for alignment in multiple timeframes
Use extreme readings for counter-trend trades
Combine with other indicators for confirmation
Order Blocks with Volume Heatmap & Clusters - VK TradingOrder Blocks with Volume Heatmap & Clusters - VK Trading
This script is designed to identify and highlight Order Blocks, a key concept in institutional trading, and combines it with powerful tools like volume heatmaps and accumulation clusters for enhanced market analysis. Suitable for traders of all experience levels, this script provides a clear and customizable visualization to help identify significant market zones effectively.
What Does This Script Do?
Order Block Identification: Highlights bullish and bearish order blocks directly on the chart, making it easier to spot key supply and demand zones.
Volume Heatmap: A dynamic heatmap adjusts colors based on relative volume, allowing you to quickly identify areas of heightened activity.
Institutional Accumulation Clusters: Zones of potential institutional accumulation are calculated using a combination of ATR (Average True Range), standardized volume, and RSI (Relative Strength Index).
Automatic Clearing: Invalidated order blocks are automatically removed, ensuring your charts remain clean and focused.
Key Features
Customizable Sensitivity: Adjust the script’s sensitivity to tailor order block detection to different market conditions and strategies.
Advanced Volume Display Options: Toggle volume visibility on or off. Customize the position, size, and color of volume labels for better integration with your chart's design.
Dynamic Heatmap Intensity: Fine-tune the heatmap’s intensity and color to highlight areas of interest based on trading volume.
Dual Order Block Detection: Uses two independent detection settings to analyze the market from multiple perspectives.
Visual Alerts: Automatically draws key level lines based on detected order blocks for better clarity.
User Benefits:
Clear Market Analysis: Helps pinpoint institutional activity and key levels with minimal effort.
Increased Efficiency: Automates plotting and analysis, allowing you to focus on decision-making.
Versatile Compatibility: Complements strategies like Smart Money Concepts, Wyckoff, and Price Action approaches.
Disclaimer
This script is intended as an analytical and educational tool. It does not guarantee specific outcomes or eliminate trading risks. Use this tool at your own discretion and always practice proper risk management.
Heat Map Trend (VIDYA MA) [BigBeluga]The Heat Map Trend (VIDYA MA) - BigBeluga indicator is a multi-timeframe trend detection tool based on the Volumetric Variable Index Dynamic Average (VIDYA). This indicator calculates trends using volume momentum, or volatility if volume data is unavailable, and displays the trends across five customizable timeframes. It features a heat map to visualize trends, color-coded candles based on an average of the five timeframes, and a dashboard that shows the current trend direction for each timeframe. This tool helps traders identify trends while minimizing market noise and is particularly useful in detecting faster market changes in shorter timeframes.
🔵 KEY FEATURES & USAGE
◉ Volumetric Variable Index Dynamic Average (VIDYA):
The core of the indicator is the VIDYA moving average, which adjusts dynamically based on volume momentum. If volume data isn't available, the indicator uses volatility instead to smooth the moving average. This allows traders to assess the trend direction with more accuracy, using either volume or volatility, if volume data is not provided, as the basis for the trend calculation.
// VIDYA CALCULATION -----------------------------------------------------------------------------------------
// ATR (Average True Range) and volume calculation
bool volume_check = ta.cum(volume) <= 0
float atrVal = ta.atr(1)
float volVal = volume_check ? atrVal : volume // Use ATR if volume is not available
// @function: Calculate the VIDYA (Volumetric Variable Index Dynamic Average)
vidya(src, len, cmoLen) =>
float cmoVal = ta.sma(ta.cmo(volVal, cmoLen), 10) // Calculate the CMO and smooth it with an SMA
float absCmo = math.abs(cmoVal) // Absolute value of CMO
float alpha = 2 / (len + 1) // Alpha factor for smoothing
var float vidyaVal = 0.0 // Initialize VIDYA
vidyaVal := alpha * absCmo / 100 * src + (1 - alpha * absCmo / 100) * nz(vidyaVal ) // VIDYA formula
◉ Multi-Timeframe Trend Analysis with Heat Map Visualization:
The indicator calculates VIDYA across five customizable timeframes, allowing traders to analyze trends from multiple perspectives. The resulting trends are displayed as a heat map below the chart, where each timeframe is represented by a gradient color. The color intensity reflects the distance of the moving average (VIDYA) from the price, helping traders to identify trends on different timeframes visually. Shorter timeframes in the heat map are particularly useful for detecting faster market changes, while longer timeframes help to smooth out market noise and highlight the general trend.
Trend Direction:
Heat Map Reading:
◉ Dashboard for Multi-Timeframe Trend Directions:
The built-in dashboard displays the trend direction for each of the five timeframes, showing whether the trend is up or down. This quick overview provides traders with valuable insights into the current market conditions across multiple timeframes, helping them to assess whether the market is aligned or if there are conflicting trends. This allows for more informed decisions, especially during volatile periods.
◉ Color-Coded Candles Based on Multi-Timeframe Averages:
Candles are dynamically colored based on the average of the VIDYA across all five timeframes. When the price is in an uptrend, the candles are colored blue, while in a downtrend, they are colored red. If the VIDYA averages suggest a possible trend shift, the candles are displayed in orange to highlight a potential change in momentum. This color coding simplifies the process of identifying the dominant trend and spotting potential reversals.
BTC:
SP500:
◉ UP and DOWN Signals for Trend Direction Changes:
The indicator provides clear UP and DOWN signals to mark trend direction changes. When the average VIDYA crosses above a certain threshold, an UP signal is plotted, indicating a shift to an uptrend. Conversely, when it crosses below, a DOWN signal is shown, highlighting a transition to a downtrend. These signals help traders to quickly identify shifts in market direction and respond accordingly.
🔵 CUSTOMIZATION
VIDYA Length and Momentum Settings:
Adjust the length of the VIDYA moving average and the period for calculating volume momentum. These settings allow you to fine-tune how sensitive the indicator is to market changes, helping to match it with your preferred trading style.
Timeframe Selection:
Select five different timeframes to analyze trends simultaneously. This gives you the flexibility to focus on short-term trends, long-term trends, or a combination of both depending on your trading strategy.
Candle and Heat Map Color Customization:
Change the colors of the candles and heat map to fit your personal preferences. This customization allows you to align the visuals of the indicator with your overall chart setup, making it easier to analyze market conditions.
🔵 CONCLUSION
The Heat Trend (VIDYA MA) - BigBeluga indicator provides a comprehensive, multi-timeframe view of market trends, using VIDYA moving averages that adapt to volume momentum or volatility. Its heat map visualization, combined with a dashboard of trend directions and color-coded candles, makes it an invaluable tool for traders looking to understand both short-term market fluctuations and longer-term trends. By showing the overall market direction across multiple timeframes, it helps traders avoid market noise and focus on the bigger picture while being alert to faster shifts in shorter timeframes.
Ultra Liquidity HeatmapThe Ultra Liquditiy Heatmap is a unique visualization tool designed to map out areas of high liquidity on the chart using a dynamic heatmap, helping traders identify significant price zones effectively.
Introduction
The Ultra Liquidity Heatmap is an advanced indicator for visualizing key liquidity areas on your chart. Whether you're a scalper, swing trader, or long-term investor, understanding liquidity dynamics can offer a powerful edge in market analysis. This tool provides a straightforward visual representation of these zones directly on your chart.
Detailed Description
The Ultra Liquidity Heatmap identifies high and low liquidity zones by dynamically marking price ranges with heatmap-like boxes.
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Dynamic Zone Creation
For low liquidity zones, the script draws boxes extending from the low to the high of the bar. If the price breaks below a previously defined zone, that box is removed.
Similarly, for high liquidity zones, the script tracks and highlights price ranges above the current high, removing boxes if the price exceeds the zone.
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Customizable Visuals
Users can adjust the transparency and color of the heatmap, tailoring the visualization to their preference.
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Real-Time Updates
The indicator constantly updates as new price data comes in, ensuring that the heatmap reflects the most current liquidity zones.
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Efficiency and Scalability
The script uses optimized arrays and a maximum box limit of 500 to ensure smooth performance even on higher timeframes or during high-volatility periods.
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The Ultra Liquidity Heatmap bridges the gap between raw price data and actionable market insight. Add it to your toolbox and elevate your trading strategy today!
Price & Volume HeatmapDescription:
Displays a heatmap (like TV's Stock Heatmap) for up to 40 symbols (either from 3 presets, or custom). It can show Price Change, Volume Change and Volume (in $). The text size for each symbol can auto-change based on whether it fits into the cell. Each cell shows the name of the symbol, and when hovered - it shows the value.
Inputs:
- Symbols -> which symbols to use (Custom, or predefined list of Stocks/Crypto/Forex)
- Data -> show Price Change (%), Volume Change (%) or Volume ($)
- Custom -> put your custom list of symbols here (comma separated without spaces, up to 40 symbols)
- Position -> heatmap position
- Height / Width -> height / width of the heatmap (% of indicator's space)
- Text Size -> can be constant (Tiny/Normal/etc) or automatically change based on the text of each cell (Auto/Auto (Smaller))
- Color -> text color
Notes:
It is not recommended to use the script on timeframes below 30 seconds, because it may be too slow there (since it's based on a table object, it might be slow).
Forex Heatmap█ OVERVIEW
This indicator creates a dynamic grid display of currency pair cross rates (exchange rates) and percentage changes, emulating the Cross Rates and Heat Map widgets available on our Forex page. It provides a view of realtime exchange rates for all possible pairs derived from a user-specified list of currencies, allowing users to monitor the relative performance of several currencies directly on a TradingView chart.
█ CONCEPTS
Foreign exchange
The Foreign Exchange (Forex/FX) market is the largest, most liquid financial market globally, with an average daily trading volume of over 5 trillion USD. Open 24 hours a day, five days a week, it operates through a decentralized network of financial hubs in various major cities worldwide. In this market, participants trade currencies in pairs , where the listed price of a currency pair represents the exchange rate from a given base currency to a specific quote currency . For example, the "EURUSD" pair's price represents the amount of USD (quote currency) that equals one unit of EUR (base currency). Globally, the most traded currencies include the U.S. dollar (USD), Euro (EUR), Japanese yen (JPY), British pound (GBP), and Australian dollar (AUD), with USD involved in over 87% of all trades.
Understanding the Forex market is essential for traders and investors, even those who do not trade currency pairs directly, because exchange rates profoundly affect global markets. For instance, fluctuations in the value of USD can impact the demand for U.S. exports or the earnings of companies that handle multinational transactions, either of which can affect the prices of stocks, indices, and commodities. Additionally, since many factors influence exchange rates, including economic policies and interest rate changes, analyzing the exchange rates across currencies can provide insight into global economic health.
█ FEATURES
Requesting a list of currencies
This indicator requests data for every valid currency pair combination from the list of currencies defined by the "Currency list" input in the "Settings/Inputs" tab. The list can contain up to six unique currency codes separated by commas, resulting in a maximum of 30 requested currency pairs.
For example, if the specified "Currency list" input is "CAD, USD, EUR", the indicator requests and displays relevant data for six currency pair combinations: "CADUSD", "USDCAD", "CADEUR", "EURCAD", "USDEUR", "EURUSD". See the "Grid display" section below to understand how the script organizes the requested information.
Each item in the comma-separated list must represent a valid currency code. If the "Currency list" input contains an invalid currency code, the corresponding cells for that currency in the "Cross rates" or "Heat map" grid show "NaN" values. If the list contains empty items, e.g., "CAD, ,EUR, ", the indicator ignores them in its data requests and calculations.
NOTE: Some uncommon currency pair combinations might not have data feeds available. If no available symbols provide the exchange rates between two specified currencies, the corresponding table cells show "NaN" results.
Realtime data
The indicator retrieves realtime market prices, daily price changes, and minimum tick sizes for all the currency pairs derived from the "Currency list" input. It updates the retrieved information shown in its grid display after new ticks become available to reflect the latest known values.
NOTE: Pine scripts execute on realtime bars only when new ticks are available in the chart's data feed. If no new updates are available from the chart's realtime feed, it may cause a delay in the data the indicator receives.
Grid display
This indicator displays the requested data for each currency pair in a table with cells organized as a grid. Each row name corresponds to a pair's base currency , and each column name corresponds to a quote currency . The cell at the intersection of a specific row and column shows the value requested from the corresponding currency pair.
For example, the cell at the intersection of a "EUR" row and "USD" column shows the data retrieved for the "EURUSD" currency pair, and the cell at the "USD" row and "EUR" column shows data for the inverse pair ("USDEUR").
Note that the main diagonal cells in the table, where rows and columns with the same names intersect, are blank. The exchange rate from one currency to itself is always 1, and no Forex symbols such as "EUREUR" exist.
The dropdown input at the top of the "Settings/Inputs" tab determines the type of information displayed in the table. Two options are available: "Cross rates" and "Heat map" . Both modes color their cells for light and dark themes separately based on the inputs in the "Colors" section.
Cross rates
When a user selects the "Cross rates" display mode, the table's cells show the latest available exchange rate for each currency pair, emulating the behavior of the Cross Rates widget. Each cell's value represents the amount of the quote currency (column name) that equals one unit of the base currency (row name). This display allows users to compare cross rates across currency pairs, and their inverses.
The background color of each cell changes based on the most recent update to the exchange rate, allowing users to monitor the direction of short-term fluctuations as they occur. By default, the background turns green (positive cell color) when the cross rate increases from the last recorded update and red (negative cell color) when the rate decreases. The cell's color reverts to the chart's background color after no new updates are available for 200 milliseconds.
Heat map
When a user selects the "Heat map" display mode, the table's cells show the latest daily percentage change of each currency pair, emulating the behavior of the Heat Map widget.
In this mode, the background color of each cell depends on the corresponding currency pair's daily performance. Heat maps typically use colors that vary in intensity based on the calculated values. This indicator uses the following color coding by default:
• Green (Positive cell color): Percentage change > +0.1%
• No color: Percentage change between 0.0% and +0.1%
• Bright red (Negative cell color): Percentage change < -0.1%
• Lighter/darker red (Minor negative cell color): Percentage change between 0.0% and -0.1%
█ FOR Pine Script™ CODERS
• This script utilizes dynamic requests to iteratively fetch information from multiple contexts using a single request.security() instance in the code. Previously, `request.*()` functions were not allowed within the local scopes of loops or conditional structures, and most `request.*()` function parameters, excluding `expression`, required arguments of a simple or weaker qualified type. The new `dynamic_requests` parameter in script declaration statements enables more flexibility in how scripts can use `request.*()` calls. When its value is `true`, all `request.*()` functions can accept series arguments for the parameters that define their requested contexts, and `request.*()` functions can execute within local scopes. See the Dynamic requests section of the Pine Script™ User Manual to learn more.
• Scripts can execute up to 40 unique `request.*()` function calls. A `request.*()` call is unique only if the script does not already call the same function with the same arguments. See this section of the User Manual's Limitations page for more information.
• Typically, when requesting higher-timeframe data with request.security() using barmerge.lookahead_on as the `lookahead` argument, the `expression` argument should use the history-referencing operator to offset the series, preventing lookahead bias on historical bars. However, the request.security() call in this script uses barmerge.lookahead_on without offsetting the `expression` because the script only displays results for the latest historical bar and all realtime bars, where there is no future information to leak into the past. Instead, using this call on those bars ensures each request fetches the most recent data available from each context.
• The request.security() instance in this script includes a `calc_bars_count` argument to specify that each request retrieves only a minimal number of bars from the end of each symbol's historical data feed. The script does not need to request all the historical data for each symbol because it only shows results on the last chart bar that do not depend on the entire time series. In this case, reducing the retrieved bars in each request helps minimize resource usage without impacting the calculated results.
Look first. Then leap.
Momentum Nexus Oscillator [UAlgo]The "Momentum Nexus Oscillator " indicator is a comprehensive momentum-based tool designed to provide traders with visual cues on market conditions using multiple oscillators. By combining four popular technical indicators—RSI (Relative Strength Index), VZO (Volume Zone Oscillator), MFI (Money Flow Index), and CCI (Commodity Channel Index)—this heatmap offers a holistic view of the market's momentum.
The indicator plots two lines: one representing the current chart’s combined momentum score and the other representing a higher timeframe’s (HTF) score, if enabled. Through smooth gradient color transitions and easy-to-read signals, the Momentum Nexus Heatmap allows traders to easily identify potential trend reversals or continuation patterns.
Traders can use this tool to detect overbought or oversold conditions, helping them anticipate possible long or short trade opportunities. The option to use a higher timeframe enhances the flexibility of the indicator for longer-term trend analysis.
🔶 Key Features
Multi-Oscillator Approach: Combines four popular momentum oscillators (RSI, VZO, MFI, and CCI) to generate a weighted score, providing a comprehensive picture of market momentum.
Dynamic Color Heatmap: Utilizes a smooth gradient transition between bullish and bearish colors, reflecting market momentum across different thresholds.
Higher Timeframe (HTF) Compatibility: Includes an optional higher timeframe input that displays a separate score line based on the same momentum metrics, allowing for multi-timeframe analysis.
Customizable Parameters: Adjustable RSI, VZO, MFI, and CCI lengths, as well as overbought and oversold levels, to match the trader’s strategy or preference.
Signal Alerts: Built-in alert conditions for both the current chart and higher timeframe scores, notifying traders when long or short entry signals are triggered.
Buy/Sell Signals: Displays visual signals (▲ and ▼) on the chart when combined scores reach overbought or oversold levels, providing clear entry cues.
User-Friendly Visualization: The heatmap is separated into four sections representing each indicator, providing a transparent view of how each contributes to the overall momentum score.
🔶 Interpreting Indicator:
Combined Score
The indicator generates a combined score by weighing the individual contributions of RSI, VZO, MFI, and CCI. This score ranges from 0 to 100 and is plotted as a line on the chart. Lower values suggest potential oversold conditions, while higher values indicate overbought conditions.
Color Heatmap
The indicator divides the combined score into four distinct sections, each representing one of the underlying momentum oscillators (RSI, VZO, MFI, and CCI). Bullish (greenish) colors indicate upward momentum, while bearish (grayish) colors suggest downward momentum.
Long/Short Signals
When the combined score drops below the oversold threshold (default is 26), a long signal (▲) is displayed on the chart, indicating a potential buying opportunity.
When the combined score exceeds the overbought threshold (default is 74), a short signal (▼) is shown, signaling a potential sell or short opportunity.
Higher Timeframe Analysis
If enabled, the indicator also plots a line representing the combined score for a higher timeframe. This can be used to align lower timeframe trades with the broader trend of a higher timeframe, providing added confirmation.
Signals for long and short entries are also plotted for the higher timeframe when its combined score reaches overbought or oversold levels.
🔶Purpose of Using Multiple Technical Indicators
The combination of RSI, VZO, MFI, and CCI in the Momentum Nexus Heatmap provides a comprehensive approach to analyzing market momentum by leveraging the unique strengths of each indicator. This multi-indicator method minimizes the limitations of using just one tool, resulting in more reliable signals and a clearer understanding of market conditions.
RSI (Relative Strength Index)
RSI contributes by measuring the strength and speed of recent price movements. It helps identify overbought or oversold levels, signaling potential trend reversals or corrections. Its simplicity and effectiveness make it one of the most widely used indicators in technical analysis, contributing to momentum assessment in a straightforward manner.
VZO (Volume Zone Oscillator)
VZO adds the critical element of volume to the analysis. By assessing whether price movements are supported by significant volume, VZO distinguishes between price changes that are driven by real market conviction and those that might be short-lived. It helps validate the strength of a trend or alert the trader to potential weakness when price moves are unsupported by volume.
MFI (Money Flow Index)
MFI enhances the analysis by combining price and volume to gauge money flow into and out of an asset. This indicator provides insight into the participation of large players in the market, showing if money is pouring into or exiting the asset. MFI acts as a volume-weighted version of RSI, giving more weight to volume shifts and helping traders understand the sustainability of price trends.
CCI (Commodity Channel Index)
CCI contributes by measuring how far the price deviates from its statistical average. This helps in identifying extreme conditions where the market might be overextended in either direction. CCI is especially useful for spotting trend reversals or continuations, particularly during market extremes, and for identifying divergence signals.
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Heatmap Volume ProfileThe Volume Profile with Support/Resistance indicator is a powerful tool designed to help traders visually identify support and resistance zones based on volume analysis at specific price levels. Unlike traditional volume indicators that focus on time-based volume, this indicator analyzes the volume traded at various price levels, offering a clearer view of where the strongest buying and selling forces are concentrated.
Key Features:
Volume Heatmap: The indicator displays a colored heatmap that varies based on the volume traded at different price levels. "Hot zones" (red) indicate areas with high volume, while "cold zones" (blue) represent areas with low volume.
Automatic Detection of Support and Resistance Levels: In addition to the heatmap, the indicator automatically detects price levels where the volume reaches a significant threshold. These levels are marked with white lines on the chart, highlighting potential support and resistance zones.
Adjustable Granularity: The number of price bands can be adjusted, allowing for finer or broader volume analysis. This helps customize the analysis based on the volatility of the asset and the chosen time frame.
Configurable Analysis Period: The number of historical bars used for volume analysis can be defined by the user, enabling the analysis of short-term or long-term volume trends.
Customizable Support/Resistance Threshold: A parameter allows you to define the threshold at which a volume level is considered significant enough to be marked as support or resistance.
Indicator Parameters:
Number of Price Bands (Granularity):
This parameter controls how finely the price is divided into bands. The higher the number of bands, the more precise the volume analysis. The default is set to 50 bands.
Color Transparency:
This parameter adjusts the transparency of the heatmap colors, making it easier to read when overlaid on the price chart.
Number of Bars for Analysis:
Defines the historical period used for volume analysis. The default is 200 bars, but it can be adjusted based on your time frame and the asset being analyzed.
Volume Threshold for Support/Resistance:
This setting allows you to define the intensity of volume (between 0.1 and 1.0) necessary for a price level to be marked as support or resistance. This parameter ensures that only the most relevant levels are displayed.
Practical Use:
Identify Support and Resistance Zones: Traders can use the levels marked by this indicator to identify areas where significant volumes have been traded, signaling potential support or resistance. These zones are often where the market may reverse direction or confirm a trend.
Detect Congestion Zones: The heatmap allows traders to easily spot volume congestion zones, where prices tend to stall due to the high concentration of trading at those levels.
Improve Decision-Making: By combining price-level volume analysis, traders can better understand where the market’s key forces are located, allowing for more informed entry and exit strategies.
Example of Use:
Support: If a support line is detected at a price level with high volume, it may represent an area where buyers are heavily concentrated, making it more difficult for the price to break below that level.
Resistance: Conversely, a resistance line indicates a zone where sellers have a significant presence, suggesting that the price may struggle to move above that level without strong momentum.
Target Audience:
This indicator is ideal for:
Day traders looking to spot short-term reversal points based on volume concentration.
Swing traders identifying key zones to place limit orders or stops.
Long-term traders who want to analyze volume clusters over an extended period to determine critical levels to watch.
Conclusion:
The Volume Profile with Support/Resistance indicator is an essential tool for any trader looking to understand how volume behaves at each price level. With its intuitive visualizations and automatically marked levels, this indicator makes it easy to spot important support and resistance zones, helping traders optimize their strategies and anticipate market movements more effectively.
[DarkTrader] Pivot Point HeatmapThe indicator calculates pivot points using price data from different timeframes such as 12M, 1M, 1W, 3D, and 1D. For each timeframe, it retrieves the high, low, open, and close prices of the previous bar. The pivot point is calculated as the average of the high, low, and close prices, which provides a central level where market sentiment may shift. This calculation is repeated for each timeframe, ensuring a multi-dimensional view of potential interest zones.
Importance of Pivot Points :
Pivot points are essential tools in technical analysis, providing traders with levels that act as potential support and resistance zones. These zones help identify price levels where reversals or breakouts are more likely to occur.
Visual Representation :
The core feature of this indicator is its ability to visualize pivot points as a heatmap on the chart. Instead of showing just the latest pivot points, it tracks the historical pivot swipe, providing a dynamic view of how price interacts with these key levels. Each pivot point is represented by a line, color-coded based on its position relative to other points, creating a gradient effect that highlights the most critical price areas.
Customization Options :
Traders can customize various aspects of the heatmap to suit their preferences. The indicator offers options to toggle pivot swipe history, enabling traders to either focus on the most recent price interactions or consider how price has behaved over time. The background color and pivot line colors are fully customizable, making it easy to match the heatmap with your chart's theme or emphasize certain price levels.
Detecting Sweeps and Price Interaction :
Another important feature is the detection of price interactions with pivot levels. If the current bar's high and low cross a pivot point, it signals that the pivot level has been "swept" by price action, potentially indicating a change in market sentiment. The indicator either extends the line if the pivot point remains relevant or deletes it if price has broken through. This dynamic adjustment helps traders stay updated on which pivot levels are still valid.
Volume Analysis - Heatmap and Volume ProfileHello All!
I have a new toy for you! Volume Analysis - Heatmap and Volume Profile . Honestly I started to work to develop Volume Heatmap then I decided to improve it and add more features such Volume profile, volume, difference in Buy/Sell volumes etc. I tried to put my abilities into this script and tried to use some new Pine Language™ features ( method, force_overlay, enum etc features ). I hope the usage of these new features would be an example for Pine Programmers.
Lets talk about how it works:
- It gets number of Rows/Columns from the user for each candle to create heatmap
- It calculates the number of the candles to analyze. Number of the candles may change by number of Rows/columns or if any volume / difference in volumes / volume profile is enabled
- It gets Closing/Opening price, Volume and Time info from lower time frame for each candle ( it can be up to 100K for each candle )
- After getting the data it calculates lower time frame to analyze
- Then it calculates how closing price moves, how much volume on each move and create boxes by the volume/move in each box
- The colors for each box calculated by volume info and closing price movements in the lower time frame
- It shows the boxes on Absolute places or Zero Line optionally
- it shows Volume, Cumulative volume, Difference between Buy/Sell volume for each column
- it changes empty box color by Chart background color, also you can change transparency
- At this time it creates Volume Profile with up to 25 rows
- As a new Pine Language™ feature, it can show Volume Profile in the indicator window or in Main chart, shows Value Area, Value Area High (VAH), Value Area Low (VAL), and draw it and POC (Point Of Control) in the indicator window and/or in the main chart
- Honestly the feature I like is that: For the markets that are not open 24/7, it combines the data from the lower time period without any gaps. For example, if you work for a market that is closed on Saturdays and Sundays, it ensures data integrity by omitting weekends and holidays. so for example if the data is like "ABC---DEF-X---YL-Z" then it makes this data like "ABCDEFXYLZ". In this way, there will be no data breaks in the displayed boxes, there will be no empty colons, and it will appear as if data is coming in at any time.
- Finally it shows Info Panel to give info, its background color automatically changes by the Chart background color
- Important! You should set your "Plan" accordingly, your plan is "Premium or Higher" or "Lower tier". so the script can understand the minimum time frame it can get data!!
I tried to share many screenshots below to explain it much better
How it looks?
it shows Highest Buy/Sell volumes brighter, move volume -> brighter
Volume Profile ( up to 25 row s) ( number of contained candles should be more than 1 )
Volume Profile can be shown in the main chart optionally
How the main chart looks:
Closing price shown and you can enable it, change colors & line width
Can include many candles according to Row&Column number you set
Optionally it can show cumulative volume for each candle
Closing prices from lower time frame
Shows Candle Body by changing background colors
It can shows all included candles on Zero line
You can change the colors of many things
You can set Empty box and border transparency
Table, Empty box Colors adjustment done automatically by chart background color
Sometimes we can not get data from some historical candles if time frame is high such 2days, 1 week etc, and it looks like:
It also checks if Chart time frame and Chart type is suitable
Enjoy!
[DarkTrader] Liquidity Regression MapLinear Regression Function Reference by @RicardoSantos :
Liquidity Regression Map is an advanced indicator designed to assist traders in identifying key liquidity zones, reversals, and potential breakout areas within the market. By visualizing liquidity shifts and regression patterns, this tool provides a powerful visual guide to price movements that often go unnoticed by conventional indicators. The indicator's dynamic and adaptive approach helps traders better navigate complex market environments.
Purpose :
This indicator focuses on analyzing the behavior of liquidity in the market and mapping it out in a visual format on your TradingView charts. It provides a deeper understanding of where large clusters of liquidity exist, helping traders pinpoint potential areas where price is likely to react. It aims to highlight key liquidity zones and assess when price is likely to reverse or continue its trend, providing a comprehensive view of the market's internal structure.
Liquidity Regression Map supports multiple timeframes and multiple assets, providing traders with flexibility to analyze different market conditions. Whether you're analyzing short-term charts for scalping or higher timeframes for swing trades, the indicator adjusts its liquidity and regression calculations accordingly, ensuring accurate insights across all timeframes. Additionally, it is compatible with various asset classes, including stocks, forex, cryptocurrencies, and commodities, allowing you to apply the same powerful liquidity analysis across multiple markets for a unified trading strategy.
How It Works :
The indicator identifies liquidity zones by looking at the highs and lows of recent price action within a user-defined period, known as the lookback period. These zones represent areas where market participants are likely to have placed a significant number of stop orders or large positions, creating pockets of liquidity. The zones are visualized as levels on the chart, showing where the market is likely to react.
Next, the indicator performs a linear regression analysis on the price data. Linear regression helps smooth out the price action and gives an indication of the overall trend within the defined liquidity zone. This analysis is critical for determining the slope and direction of price movement, which provides insights into the market's momentum and strength in these liquidity areas.
A key feature of this indicator is its ability to detect liquidity swipes—sharp moves in price that sweep liquidity levels. When price approaches a liquidity zone and crosses it aggressively, the indicator highlights this as a swipe. Swipes often signal significant price reversals or trend continuation because they indicate that liquidity has been absorbed. The Akastra Liquidity Regression Map highlights these areas, helping traders anticipate where a reversal or continuation may occur.
As new price data comes in, the liquidity zones and regression lines dynamically adjust. This real-time update ensures that traders are always working with the most relevant and up-to-date liquidity information. The indicator recalculates the liquidity levels based on the recent highs and lows and repositions the regression lines accordingly. This makes it adaptive to both short-term volatility and long-term trends.
To make the analysis intuitive and easy to interpret, the liquidity levels are color-coded based on their strength and importance. Liquidity zones are shown using a gradient of colors, from weak liquidity (indicating potential minor reactions) to strong liquidity (where a significant price reaction is more likely). The heatmap visually communicates how liquidity is distributed across different levels and timeframes.
Liquidity Condition Filtering :
Another important aspect of the mechanism is the liquidity condition filtering, which only highlights significant liquidity shifts. The indicator evaluates if price movement meets certain thresholds, such as exceeding a 1.618 threshold for liquidity absorption or rejection . This filtering ensures that only the most relevant and impactful liquidity conditions are displayed, minimizing noise and false signals on the chart.
Finally, the indicator calculates and displays liquidity levels across multiple timeframes simultaneously, providing a more comprehensive view. For example, liquidity from a higher timeframe may interact with liquidity from a lower timeframe, providing traders with an overlapping view of where significant liquidity is concentrated. This multi-layer analysis helps to confirm trading setups and increases the probability of successful trades.
SPY $ectors | by Octopu$🏭 SPY Sectors with % Variance and Ticker Status| by Octopu$
What is SPY Sectors?
They are 11 SPY Sectors based on activity, which groups together their specific markets as well as the composition about the Tickers on the Sector.
For example: information technology, consumer discretionary, consumer staples, health care, financials, industrials, communication services, energy, , materials, utilities, real estate.
It is an useful resource for a trading system:
Can be used to follow up with tickers/sectors up and down moves and percentages as well as overall status and market sentiment as a whole.
AMEX:SPY
This indicator however should not be used as a standalone tool.
(The combination of factors relies on your own knowledge about Confluence Factors along with your Due Diligence)
This indicator is not an advice to buy or sell securities in any form.
ANY Ticker. ANY Timeframe.
Features:
• ALL Sector Track
• Up and Down Status
• Green and Red Colors
• % Indication
Options:
• Customization
• Location
Notes:
v1.0
Indicator release.
Changes and updates can come in the future for additional functionalities or per requests. Follow and Stay Tuned!
Did you like it? Please Support and Shoot me a message! I'd appreciate if you dropped by to say thanks! Thank you.
- Octopu$
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