cd_HTF_bias_CxOverview:
No matter our trading style or model, to increase our success rate, we must move in the direction of the trend and align with the Higher Time Frame (HTF). Trading "gurus" call this the HTF bias. While we small fish tend to swim in all directions, the smart way is to flow with the big wave and the current. This indicator is designed to help us anticipate that major wave.
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Details and Usage:
This indicator observes HTF price action across preferably seven different pairs, following specific rules. It confirms potential directional moves using CISD levels on a Medium Time Frame (MTF). In short, it forecasts the likely direction (HTF bias). The user can then search for trade opportunities aligned with this bias on a Lower Time Frame (LTF), using their preferred pair, entry model, and style.
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Timeframe Alignment:
The commonly accepted LTF/MTF/HTF combinations include:
• 1m – 15m – H4
• 3m – H1 – Daily / 3m – 30m – Daily
• 5m – H1 – Daily
• 15m – H4 – Weekly
• H1 – Daily – Monthly
• H4 – Weekly – Quarterly
Example: If you're trading with a 3m model on a 30m/3m setup, you should seek trades in the direction of the H1/Daily bias.
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How It Works:
The indicator first looks for sweeps on the selected HTF — when any of the last four candles are swept, the first condition is met.
The second step is confirmation with a CISD close on the MTF — once a candle closes above/below the CISD level, the second condition is fulfilled. This suggests the price has made its directional decision.
Example: If a previous HTF candle is swept and we receive a bearish CISD confirmation on H1, the HTF bias becomes bearish.
After this, you may switch to a more granular setup like HTF: 30m and MTF: 3m to look for trade entries aligned with the bias (e.g., 30m sweep + 3m CISD).
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How Is Bias Determined?
• HTF Sweep + MTF CISD = SC (Sweep & CISD)
• Latest Bullish SC → Bias: Bullish
• Latest Bearish SC → Bias: Bearish
• Price closes above the last Bearish SC → Bias: Strong Bullish
• Price closes below the last Bullish SC → Bias: Strong Bearish
• Strong Bullish bias + Bearish CISD (without HTF sweep) → Bias: Bullish
• Strong Bearish bias + Bullish CISD (without HTF sweep) → Bias: Bearish
• Bearish price violates SC high, but Bullish SC is untouched → Bias: Bullish
• Bullish price violates SC low, but Bearish SC is untouched → Bias: Bearish
• If neither side generates SC → Bias: No Bias
The logic is built on the idea that a price overcoming resistance is stronger, and encountering resistance is weaker. This model is based on the well-known “Daily Bias” structure, but with personal refinements.
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What’s on the Screen?
• Classic HTF zones (boxes)
• Potential MTF CISD levels
• Confirmed MTF lines
• Sweep zones when HTF sweeps occur
• Result table showing current bias status
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Usage:
• Select HTF and MTF timeframes aligned with your trading timeframe.
• Adjust color and position settings as needed.
• Enter up to seven pairs to track via the menu.
• Use the checkbox next to each pair to enable/disable them.
• If “Ignore these assets” is checked, all pairs will be disabled, and only the currently open chart pair will be tracked.
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Alerts:
You can choose alerts for Bullish, Bearish, Strong Bullish, or Strong Bearish conditions.
There are two types of alert sources:
1. From the indicator’s internal list
2. From TradingView’s watchlist
Visual example:
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How I Use It:
• For spot trades, I use HTF: Weekly and MTF: H4 and look for Bullish or Strong Bullish pairs.
• For scalping, I follow bias from HTF: Daily and MTF: H1.
Example: If the indicator shows a Bearish HTF Bias, I switch to HTF: 30m and MTF: 3m and enter trades once bearish conditions are met (timeframe alignment).
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Important Notes:
• The indicator defines CISD levels only at HTF high and low levels.
• If your chart is on a higher timeframe than your selected HTF/MTF, no data will appear.
Example: If HTF = H1 and MTF = 5m, opening a chart on H4 will result in a blank screen.
• The drawn CISD level on screen is the MTF CISD level.
• Not every alert should be traded. Always confirm with personal experience and visual validation.
• Receiving multiple Strong Bullish/Bearish alerts is intentional. (Trick 😊)
• Please share your feedback and suggestions!
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And Most Importantly:
Don't leave street animals without water and food!
Happy trading!
Multitimeframe
DeltaTrace ForecastDeltaTrace Forecast is a forward-looking projection tool that visualizes the probable directional path of price using a multi-timeframe momentum model rooted in volatility-adjusted nonlinear dynamics. Rather than relying on traditional indicators that react to price after the fact, DeltaTrace estimates future price motion by tracing the progression of momentum changes across expanding timeframes—then scaling those deltas using adaptive volatility to forecast a plausible path forward.
At its core, DeltaTrace constructs a momentum vector from a series of smoothed z-scores derived from increasing multiples of the current chart's timeframe. These z-scores are normalized using a hyperbolic tangent function (tanh), which compresses extreme values and emphasizes meaningful deviations without being overly sensitive to outliers. This nonlinear normalization ensures that explosive moves are weighted with less distortion, while still preserving the shape and direction of the underlying trend.
Once the z-scores are calculated for a range of 12 timeframes (from 1× the current timeframe up to 12×), the indicator computes the first difference between each adjacent pair. These differences—or deltas—represent the change in momentum from one timeframe to the next. In this structure, a strong positive delta implies momentum is strengthening as we look into higher timeframes, while a negative delta reflects waning or reversing strength.
However, not all deltas are treated equally. To make the projection adaptive to market volatility and temporally meaningful, each delta is scaled by the square root of its corresponding timeframe multiple, weighted by the ATR (Average True Range) of the base timeframe. This square-root volatility scaling mirrors the behavior of Brownian motion and reflects the natural geometric diffusion of price over time. By applying this scaling, the model tempers its forecast according to recent volatility while maintaining proportional distance over longer time horizons.
The result is a chain of projected price steps—11 in total—starting from the current closing price. These steps are cumulative, meaning each one builds upon the previous, forming a continuously adjusted polyline that represents the most recent forecast path of price. Each point in the forecast line is directional: if the next projected point is above the last, the segment is colored green (upward momentum); if below, it is colored red (downward momentum). This color coding gives immediate visual feedback on the nature of the projected path and allows for intuitive at-a-glance interpretation.
What makes DeltaTrace unique is its combination of ideas from signal processing, time-series momentum analysis, and volatility theory. Instead of relying on static support/resistance levels or lagging moving averages, it dynamically adapts to both momentum curvature and volatility structure. This allows it to be used not just for trend confirmation, but also for top-down bias fading, reversal anticipation, and path-following strategies.
Traders can use DeltaTrace in a variety of ways depending on their style:
For trend traders, a consistent upward or downward curve in the forecast suggests directional continuation and can be used for position sizing or confirmation of bias.
For mean-reversion traders, exaggerated divergence between the current price and the first few forecast points may indicate temporary exhaustion or overextension.
For scalpers or intraday traders, the short-term bend or flattening of the initial segments can reveal early signs of weakening momentum or build-up before breakout.
For swing traders, the full shape of the polyline gives an evolving map of market rhythm across time compression, allowing for context-aware decision-making.
It’s important to understand that this is a path projection tool, not a precise price target predictor. The forecast does not attempt to predict exact price levels at exact bars, but rather illustrates how the market might evolve if the current multi-timeframe momentum structure persists. Like all models, it should be interpreted probabilistically and used in conjunction with other confirmation signals, risk management tools, or strategy frameworks.
Inputs allow customization of the z-score calculation length and ATR window to tune the sensitivity of the model. The color scheme for up/down forecast segments can also be adjusted for personal preference. Additionally, users can toggle the polyline forecast on or off, which may be useful for pairing this indicator with others in a crowded chart layout.
Because the forecast path is calculated only on the last bar, it does not repaint or shift once the candle closes—preserving historical accuracy for visual inspection and backtesting reference. However, it is also sensitive to changes in volatility and momentum structure, meaning it updates each bar as conditions evolve, making it most effective in real-time decision support.
DeltaTrace Forecast is particularly well-suited for traders who want a deeper understanding of hidden momentum shifts across timeframes without relying on traditional trend-following tools. It reveals the shape of future possibility based on present dynamics, offering a compact yet powerful visualization of directional bias, transition risk, and path strength.
To maximize its utility, consider pairing DeltaTrace with volume profiles, order flow tools, higher timeframe zones, or market structure indicators. Used in context, it becomes a powerful companion to both systematic and discretionary trading styles—especially for those who appreciate a blend of mathematics and intuition in their market analysis.
This indicator is not based on magic or black-box logic; every component—from the z-score standardization to the volatility-adjusted deltas—is fully transparent and grounded in simple, interpretable mechanics. If you're looking for a reliable way to visualize multi-timeframe bias and momentum diffusion, DeltaTrace provides a unique lens through which to interpret future potential in an ever-shifting market landscape.
SR-PrecisionZoneSR-PrecisionZone — Dynamic Support & Resistance Mapping
SR-PrecisionZone is a precision-engineered support and resistance zone indicator designed for traders who value structure, accuracy, and real-time adaptability. It intelligently detects clusters of pivot points to highlight price levels that have historically acted as strong support or resistance — and projects these zones into the current market with customizable sensitivity.
- Key Features
Dynamic Zone Construction
Automatically detects key support and resistance zones based on pivot clustering logic, with customizable width and minimum strength thresholds.
Strength-Weighted Transparency
Zone opacity reflects the number of pivot hits — the more respected the level, the more visible the zone becomes. This allows traders to instantly gauge the strength of each zone at a glance.
Real-Time Zone Development
Zones appear live as pivot criteria are met; no lag or historical-only rendering.
Breakout & Breakdown Detection
Automatic breakout/breakdown tags highlight when price leaves a zone, helping spot continuation or reversal setups.
Multi-Timeframe Adaptive
Works effectively on intraday, swing, and macro timeframes with a tunable lookback window.
Clean Visual Hierarchy
Support and resistance zones extend 10 bars beyond the current candle, with MA overlays plotted above zones for clear visibility.
- Inputs & Settings
Source: Choose between High/Low or Close/Open pivots
Maximum Channel Width (%): Controls how far apart pivots can be to qualify as a zone
Minimum Strength: Sets how many pivot hits are required for a zone to appear
Lookback Period: Adjusts how far back the script evaluates pivot clusters
Customizable Colors: Separate colors for support, resistance, and mid-zone overlap
Breakout Tags: Optional visual markers for when price breaks out of a zone
MA Overlays: Two optional moving averages (SMA/EMA) to provide additional context
- Ideal Use Cases
Identifying high-probability support/resistance levels
Spotting breakout or fakeout setups
Enhancing confluence in technical strategies
Filtering entries/exits based on structural zones
Ichimoku w/MTFcombines traditional Ichimoku Cloud analysis with multi-timeframe trend filtering to generate high-probability trade signals
Custom Multi-MA Overlay (10 MAs with Width & TF)Updated Multi MA Indicator. Customizable in every way from line type width and color, to MA type length and TF.
HTF Candles and Regression Channel [100Zabaan]🟢🟢 HTF Candles and Regression Channel 🟢🟢
🟡 Overview
This is a powerful multi-timeframe analysis tool designed to help traders understand the overall market context and structure at a glance. It provides a comprehensive view of the price trend across multiple timeframes, from long-term (weekly) to short-term (one-minute), all simultaneously on a single chart.
This tool assists your market analysis in two primary ways:
Displaying recent candles from higher timeframes to quickly grasp the strength, momentum, and overall trend context on different scales.
Displaying automatic linear regression channels to visually identify the direction, slope, and strength of the trend in your selected time periods.
🟡 Key Features
1. Multi-Timeframe Candle Viewer
In a separate pane below the main chart, this indicator displays the last N candles (adjustable number) from various timeframes (Weekly, Daily, 4-Hour, etc.).
This feature allows you to easily compare the trend strength and volatility across different timeframes and assess the current price position within the context of larger trends.
For instance, if you set the number of candles to 50, you can simultaneously monitor the last 50 candles from various timeframes like weekly, daily, 4-hour, 1-hour, 15-minute, 5-minute, and 1-minute, all within a dedicated pane.
Additionally, descriptive labels guide you, indicating the time period covered by each timeframe's set of candles.
Robust and Optimized Data-Fetching Mechanism: To render the candles, the indicator uses box and line objects and fetches data from multiple timeframes. The data-fetching engine has been specifically designed for high stability and performance. This allows you to reliably view a large number of candles from high timeframes (e.g., 60 weekly candles) even while on a very low timeframe like the one-minute chart, without encountering common historical data loading errors.
2. Automatic Linear Regression Channels
The indicator automatically plots linear regression channels for various time periods directly on your main price chart. This allows you to examine the price trend's path across different timeframes.
For better readability, the labels and their corresponding regression channels for each timeframe are color-coordinated.
Key Difference: Unlike standard tools that often focus on the closing price “Close”, this indicator uses the average price of a candle “OHLC4” to calculate the central regression line. The advantage of this approach is a more balanced and stable representation of the trend, which is less affected by sharp price fluctuations within a single candle.
Furthermore, the upper and lower channel boundaries are drawn based on a fraction of the period's maximum volatility, rather than the standard deviation, leading to a channel that adapts more effectively to the actual price action.
🟡 How to Use & Input Settings
Add the indicator to your chart
Go to the indicator's settings
In the Inputs tab, adjust the values according to your strategy:
Number of Candles to Display: Specify the number of recent candles to show in the bottom pane.
Show Time Period Labels: Toggle the visibility of labels that show the time span covered by each timeframe.
Show Regression Channels: Toggle the visibility of the regression channels on the main chart.
Timeframe Selection: Choose which timeframes you want to be displayed.
Style Settings: Configure the color and thickness of the regression lines to match their labels.
🟡 Important Notes & Limitations
No Repainting: This indicator is designed to be non-repainting. The values displayed are fixed once a candle closes. (Note: The values on the current, real-time candle will update until it closes).
Compatibility: This indicator is compatible with all symbols but is designed for optimal performance on timeframes lower than Daily.
Chart Timeframe Dependency: The indicator automatically hides timeframes in the bottom pane that are smaller than your current chart's timeframe. To view all possible resolutions, set your chart to the 1-minute timeframe.
Time Period Display Precision: The labels indicating the time duration (e.g., "1.2 years") may show approximate values due to rounding and are not intended to be perfectly precise.
Note Regarding the Source Code: The core logic of this indicator, especially the proprietary formulas used, is the result of personal research and development. To preserve this unique methodology and ensure its integrity for future developments, this version is released as closed-source. However, we have made every effort to fully and transparently describe the indicator's logic and operational process in the explanations.
🔴 Disclaimer
This indicator is provided for educational, informational, and analytical purposes only and should not be considered as financial advice or a definitive signal for buying or selling. Past performance is not indicative of future results. All investment and trading activities involve risk, and the user is solely responsible for any profits or losses. Please conduct your own research and consult with a qualified financial advisor before making any financial decisions.
🔴 Developers: Mr. Mohammad sanaei
⭐️⭐️ Feel free to share your feedback in the comments ⭐️⭐️
این اندیکاتور یک ابزار تحلیلی چند-زمانی قدرتمند است که به معاملهگران کمک میکند تا با یک نگاه، زمینه و ساختار کلی بازار را درک کرده و دیدی جامعی از روند قیمت و تایمفریمهای بلندمدت (هفتگی) تا کوتاهمدت (یک دقیقه)، به طور همزمان روی یک نمودار به دست آورند.
این ابزار از دو طریق به شما در تحلیل بازار کمک میکند:
نمایش کندلهای اخیر تایمفریمهای بالاتر برای درک سریع قدرت، مومنتوم و بررسی کلی روند در مقیاسهای مختلف.
نمایش کانال رگرسیون خطی خودکار برای تشخیص بصری جهت، شیب و قدرت روند در بازههای زمانی منتخب شما.
🔴 توسعه دهندگان: محمد ثنائی
⭐️⭐️ لطفاً نظرات خود را در کامنتها با ما در میان بگذارید; از خواندن بازخوردهای شما خوشحال میشویم. ⭐️⭐️
FFI WEALTHFFI Wealth: Monthly RSI-Based Entry/Exit Tool
This indicator visualizes monthly RSI levels on any chart timeframe by coloring candles and marking entry/exit signals. It uses RSI (14) calculated on the monthly timeframe to reflect long-term momentum:
🔹 Candle Coloring Based on Monthly RSI:
Dark Red: RSI ≤ 20
Light Red: RSI 21–40
Yellow: RSI 41–59 (neutral)
Light Green: RSI 60–80
Dark Green: RSI > 80
🔹 Buy Signal: When monthly RSI crosses above 50
🔹 Sell Signal: When monthly RSI crosses below 50
Entry and exit levels are shown with labels and dotted horizontal lines on the chart. These signals can help traders align with broader trend momentum while trading lower timeframes.
⚠️ Disclaimer:
This tool is for educational and informational purposes only. It does not guarantee profits or trading success. Always use risk management and do your own analysis before trading. for any doubt contact 8007280721
Multi-Timeframe ATR, Range Size, and Ticks DisplayThis PineScript indicator for TradingView displays a multi-timeframe (MTF) table showing ATR values, calculated range sizes (based on a user-defined percentage of ATR), and the number of ticks (R) in each range size for timeframes: 15m, 1h, 4h, 8h, and 1D. It also shows the minimum price change (mintick) for the symbol.
Key features:
ATR Calculation: Uses the standard ATR with a configurable period (default 14) fetched via request.security for each timeframe.
Range Size: Computes range as ATR * (percentage / 100), where percentage is user-input (default 10%).
Ticks (R): Divides range size by syminfo.mintick to get the number of ticks, useful for setting range bar sizes (e.g., in NinjaTrader or TradingView range charts).
Table Display: A customizable table at the top-right corner, updated only on the last bar for performance. Includes an option to show/hide the table.
Compatibility: Works on time-based charts; values remain consistent even if switching chart types, as ATR is always pulled from specified timeframes.
To use: Add to TradingView, adjust inputs, and apply to a time-based chart (e.g., 1m or 5m) for scalping BTC/USDT as per your strategy. The script ensures calculations are timeframe-independent, so switching to range/renko/etc. won't alter the displayed MTF data.
ICT Opening Gaps & EHPDA [LuxAlgo Modified]Modified version of LuxAlgo's original opening gap indicator to include NMOGs and NYOGs
Custom Multi-MA OverlaySuper simple way to add multiple Moving Averages into your chart using one indicator. Fully customizable from the type of moving average used, length of moving average, coloring, line type, and gives you the ability to quickly toggle each moving average on and off.
Fractal Market Model [BLAZ]Version 1.0 – Published August 2025: Initial release
1. Overview & Purpose
1.1. What This Indicator Does
The Fractal Market Model is an original multi-timeframe technical analysis tool that bridges the critical gap between macro-level market structure and micro-level price execution. Designed to work across all financial markets including Forex, Stocks, Crypto, Futures, and Commodities. While traditional Smart Money Concepts indicators exist, this implementation analyses multi-timeframe liquidity zones and price action shifts, marking potential reversal points where Higher Timeframe (HTF) liquidity sweeps coincide with Low Timeframe (LTF) price action dynamics changes.
Snapshot details: NASDAQ:GOOG , 1W Timeframe, Year 2025
1.2. What Sets This Indicator Apart
The Fractal Market Model analyses multi-timeframe correlations between HTF structural events and LTF price action. This creates a dynamic framework that reveals patterns observed historically in price behaviour that are believed to reflect institutional activity across multiple time dimensions.
The indicator recognizes that markets move in fractal cycles following the AMDX pattern (Accumulation, Manipulation, Distribution, Continuation/Reversal). By tracking this pattern across timeframes, it flags zones where price action dynamics characteristics have historically shown shifts. In the LTF, the indicator monitors for price closing through the open of an opposing candle near HTF swing highs or lows, marking this as a Change in State of Delivery (CISD), a threshold event where price action historically transitions direction.
Practical Value:
Multi-Timeframe Integration: Connects HTF structural events with LTF execution patterns.
Fractal Pattern Recognition: Identifies AMDX cycles across different time dimensions.
Price Behavior Analysis: Tracks CISD patterns that may reflect historical shifts in order flow commonly associated with institutional activity.
Range-Based Context: Analyses price action within established HTF liquidity zones.
1.3. How It Works
The indicator employs a systematic 5-candle HTF tracking methodology:
Candles 0-1: Accumulation phase identification.
Candle 2: Manipulation detection (raids previous highs/lows).
Candle 3: Distribution phase recognition.
Candle 4: Continuation/reversal toward opposite liquidity.
The system monitors for CISD patterns on the LTF when HTF manipulation candles close with confirmed sweeps, highlighting zones where order flow dynamics historically shifted within the established HTF range.
Snapshot details: FOREXCOM:AUDUSD , 1H Timeframe, 17 to 28 July 2025
Note: The Candle 0-5 and AMDX labels shown in the accompanying image are for demonstration purposes only and are not part of the indicator’s actual functionality.
2. Visual Elements & Components
2.1. Complete FMM Setup Overview
A fully developed Fractal Market Model setup displays multiple analytical components that work together to provide comprehensive market structure analysis. Each visual element serves a specific purpose in identifying and tracking the AMDX cycle across timeframes.
2.2. Core Visual Components
Snapshot details: FOREXCOM:EURUSD , 5 Minutes Timeframe, 27 May 2025.
Note: The numbering labels 1 to 14 shown in the accompanying image are for demonstration purposes only and are not part of the indicator’s actual functionality.
2.2.1. HTF Structure Elements
(1) HTF Candle Visualization: Displays the 5-candle sequence being tracked (configurable quantity up to 10).
(2) HTF Candle Labels (C2-C4): Numbered identification for each candle in the AMDX cycle.
(3) HTF Resolution Label: Shows the higher timeframe being analysed.
(4) Time Remaining Indicator: Countdown to HTF candle closure.
(5) Vertical Separation Lines: Clearly delineates each HTF candle period.
2.2.2. Key Price Levels
(6) Liquidity Levels: High/low levels from HTF candles 0 and 1 representing potential target zones.
(7) Sweep Detection Lines: Marks where previous HTF candle extremes have been breached on both HTF and LTF.
(8) HTF Candle Mid-Levels: 50% retracement levels of previous HTF candles displayed on current timeframe.
(9) Open Level Marker: Shows the opening price of the most recent HTF candle.
2.2.3. Institutional Analysis Tools
(10) CISD Line: Marks the Change in State of Delivery pattern identification point.
(11) Consequent Encroachment (CE): Mid-level of identified institutional order blocks.
(12) Potential Reversal Area (PRA): Zone extending from previous candle close to the mid-level.
(13) Fair Value Gap (FVG): Identifies imbalance areas requiring potential price revisits.
(14) HTF Time Labels: Individual time period labels for each HTF candle.
2.3. Interactive Features
All visual elements update dynamically as new price data confirms or invalidates the tracked patterns, providing real-time market structure analysis across the selected timeframe combination.
3. Input Parameters and Settings
3.1. Alert Configuration
Setup Notifications: Users can configure alerts to receive notifications when new FMM setups form based on their selected bias, timeframes, and filters. Enable this feature by:
Configure the bias, timeframes and filters and other settings as desired.
Toggle the "Alerts?" checkbox to ON in indicator settings.
On the chart, click the three dots menu beside the indicator's name or press Alt + A.
Select "Add Alert" and click “Create” to activate the alert.
3.2. Display Control Settings
3.2.1. Historical Setup Quantity
Setup Display Control: Customize how many historical setups appear on the chart, with support for up to 50 combined entries. The indicator displays both bullish and bearish FMM setups within the selected limit, including invalidated scenarios. For example, selecting "3 setups" will display the most recent combination of bullish and bearish patterns based on the model's detection logic.
Snapshot details: BINANCE:BTCUSD , 1H Timeframe, 27-Feb to 11-Mar 2025
Note: The labels “Setup 1, 2 & 3: Bullish or Bearish” shown in the accompanying image are for demonstration purposes only and are not part of the indicator’s actual functionality.
3.2.2. Directional Bias Filter
Bias Filter: Control which setups are displayed based on directional preference:
Bullish Only: Shows exclusively upward bias setups.
Bearish Only: Shows exclusively downward bias setups.
Balanced Mode: Displays both directional setups.
This flexibility helps align the indicator's output with broader market analysis or trading framework preferences. The chart below illustrates the same chart in 3.2.1. but when filtered to show only bullish setups.
Snapshot details: BINANCE:BTCUSD , 1H Timeframe, 27-Feb to 11-Mar 2025
Note: The labels “Setup 1, 2 & 3: Bullish” shown in the accompanying image are for demonstration purposes only and are not part of the indicator’s actual functionality.
3.2.3. Invalidated Setup Display
Invalidation Visibility: A setup becomes invalidated when price moves beyond the extreme high or low of the Manipulation candle (C2), indicating that the expected fractal pattern has been disrupted. Choose whether to display or hide setups that have been invalidated by subsequent price action. This feature helps maintain chart clarity while preserving analytical context:
Amber Labels: Setups invalidated at Candle 3 (C3).
Red Labels: Setups invalidated at Candle 4 (C4).
Count Preservation: Invalidated setups remain part of the total setup count regardless of visibility setting.
Below image illustrates balanced setups:
Left side: 1 bearish valid setup, with 2 invalidated setups visible.
Right side: 1 bearish valid setup, with 2 invalidated setups hidden for chart clarity.
Snapshot details: FOREXCOM:GBPJPY , 5M Timeframe, 30 July 2025
3.3. Timeframe Configuration
3.3.1. Multi-Timeframe Alignment
Custom Timeframe Selection: Configure preferred combinations of Higher Timeframe (HTF) and Lower Timeframe (LTF) for setup generation. While the indicator includes optimized default alignments (1Y –1Q, 1Q –1M, 1M –1W, 1M –1D, 1W–4H, 1D–1H, 4H-30m, 4H –15m, 1H –5m, 30m –3m, 15m –1m), users can define custom HTF-LTF configurations to suit their analysis preferences and market focus.
The image below illustrates two different HTF – LTF configuration, both on the 5 minutes chart:
Right side: Automatic multi-timeframe alignment, where the indicator autonomously sets the HTF pairing to 1H when the current chart timeframe is the 5 minutes.
Left side: Custom Timeframe enabled, where HTF is manually set to 4H, and LTF is manually set to 15 minutes, while being on the 5 minutes chart.
Snapshot details: FOREXCOM:GBPJPY , 5 minutes timeframe, 30 July 2025
3.3.2. Session-Based Filtering
Visibility Filters: Control when FMM setups appear using multiple filtering options:
Time-Based Controls:
Show Below: Limit setup visibility to timeframes below the selected threshold.
Use Session Filter: Enable session-based time window restrictions.
Session 1, 2, 3: Configure up to three custom time sessions with start and end times.
These filtering capabilities help concentrate analysis on specific market periods or timeframe contexts.
The image below illustrates the application of session filters:
Left side: The session filter is disabled, resulting in four setups being displayed throughout the day—two during the London session and two during the New York session.
Right side: The session filter is enabled to display setups exclusively within the New York session (8:00 AM – 12:00 PM). Setups outside this time window are hidden. Since the total number of setups is limited to four, the indicator backfills by identifying and displaying two qualifying setups from earlier price action that occurred within the specified New York session window.
Snapshot details: COMEX:GC1! , 5 minutes Timeframe, 29 July 2025
3.4. Annotation Systems
3.4.1. Higher Timeframe (HTF) Annotations
HTF Display Control: Enable HTF visualization using the "HTF candles" checkbox with quantity selector (default: 5 candles, expandable to 10). This displays all HTF elements detailed in the Visual Components section 2.2. above.
Customisation Categories:
Dimensions: Adjust candle offset, gap spacing, and width for optimal chart fit.
Colours: Customize body, border, and wick colours for bullish/bearish candle differentiation.
Style Options: Control line styles for HTF opens, sweep lines, and equilibrium levels.
Feature Toggles: Enable/disable Fair Value Gaps, countdown labels, and individual candle labelling.
All HTF annotation elements support individual styling controls to maintain visual clarity while preserving analytical depth. The image below shows two examples: the left side has customized styling applied, while the right side shows the default appearance.
Snapshot details: CME_MINI:NQ1! , 5 minutes Timeframe, 29 July 2025
3.4.2. Lower Timeframe (LTF) Annotations
LTF Display Control: Comprehensive annotation system for detailed execution analysis, displaying all LTF elements outlined in the Visual Components section 2.2. above.
Customization Categories:
Core Elements: Control HTF separation lines, sweep markers, CISD levels, and candle phase toggles (C2, C3, C4) to selectively show or hide the LTF annotations for each of these specific HTF candle phases.
Reference Levels: Adjust previous equilibrium lines, CISD consequent encroachment, and HTF liquidity levels.
Analysis Tools: Enable potential holding area (PHA) markers.
Styling Options: Individual visibility toggles, colour schemes, line styles, and thickness controls for each element.
All LTF components support full customization to maintain chart clarity while providing precise execution context. The image below shows two examples: the left side has customized styling applied, while the right side shows the default appearance.
Snapshot details: TVC:DXY , 5 minutes Timeframe, 28 July 2025
3.5. Performance Considerations
Higher setup counts and extended HTF displays may impact chart loading times. Adjust settings based on device performance and analysis requirements.
4. Closed-Source Protection Justification
4.1. Why This Indicator Requires Protected Source Code
The Fractal Market Model is the result of original research, development, and practical application of advanced price action frameworks. The indicator leverages proprietary algorithmic systems designed to interpret complex market behavior across multiple timeframes. To preserve the integrity of these innovations and prevent unauthorized replication, the source code is protected.
4.1.1. Key Proprietary Innovations
Real-Time Multi-Timeframe Correlation Engine: A dynamic logic system that synchronizes higher timeframe structural behaviour with lower timeframe execution shifts using custom correlation algorithms, adaptive thresholds, and time-sensitive conditions, supporting seamless fractal analysis across nested timeframes.
CISD Detection Framework: A dedicated mechanism for identifying Change in State of Delivery (CISD), where price closes through the open of an opposing candle at or near HTF swing highs or lows after liquidity has been swept. This is used to highlight potential zones of directional change based on historical order flow dynamics.
Fractal AMDX Cycle Recognition: An engineered structure that detects and classifies phases of Accumulation, Manipulation, Distribution, and Continuation/Reversal (AMDX) across configurable candle sequences, allowing traders to visualize market intent within a repeatable cycle model.
Dynamic Invalidation Logic: An automated monitoring system that continually evaluates the validity of active setups. Setups are invalidated in real time when price breaches the extreme of the manipulation phase (C2), ensuring analytical consistency and contextual alignment.
4.1.2. Community Value
The closed-source nature of this tool protects the author’s original intellectual property while still delivering value to the TradingView community. The indicator offers a complete, real-time visual framework, educational annotations, and intuitive controls for analysing price action structure and historically observed patterns commonly attributed to institutional behaviour across timeframes.
5. Disclaimer & Terms of Use
This indicator, titled Fractal Market Model , has been independently developed by the author based on their own study, interpretation, and practical application of the smart money concepts. The code and structure of this indicator are original and were written entirely from scratch to reflect the author's unique understanding and experience. This indicator is an invite-only script. It is closed-source to protect proprietary algorithms and research methodologies.
This tool is provided solely for educational and informational purposes. It is not intended—and must not be interpreted—as financial advice, investment guidance, or a recommendation to buy or sell any financial instrument. The indicator is designed to assist with technical analysis based on market structure theory but does not guarantee accuracy, profitability, or specific results.
Trading financial markets involves significant risk, including the possibility of loss of capital. By using this indicator, you acknowledge and accept that you are solely responsible for any decisions you make while using the tool, including all trading or investment outcomes. No part of this script or its features should be considered a signal or assurance of success in the market.
By subscribing to or using the indicator, you agree to the following:
You fully assume all responsibility and liability for the use of this product.
You release the author from any and all liability, including losses or damages arising from its use.
You acknowledge that past performance—real or hypothetical—does not guarantee future outcomes.
You understand that this indicator does not offer personalised advice, and no content associated with it constitutes a solicitation of financial action.
You agree that all purchases are final. Once access is granted, no refunds, reimbursements, or chargebacks will be issued under any circumstance.
You agree to not redistribute, resell, or reverse engineer the script or any part of its logic.
Users are expected to abide by all platform guidelines while using or interacting with this tool. For access instructions, please refer to the Author's Instructions section or access the tool through the verified vendor platform.
Multi-Timeframe Confluence Indicator - 4 Timeframes, No Guessing🎯 Multi-Timeframe Confluence Indicator (FREE)
Stop Trading Blind - See All Timeframes at Once!
Why do 87% of traders fail? They trade against the bigger trend. This indicator changes that.
✨ What You Get:
- 4 Timeframe Analysis (Current/15m/1H/4H) in ONE view
- Smart Confluence Zones - Know exactly where to trade
- Non-Repainting Signals - What you see stays
- Live Confluence Table - All timeframes at a glance
- Professional Alerts - Never miss high-probability setups
📊 How It Works:
1. TREND: 50/200 EMA across timeframes
2. MOMENTUM: RSI confirmation
3. SCORE: -8 to +8 confluence rating
Strong signals only appear when MULTIPLE timeframes agree!
🎯 Signal Types:
- 💚 STRONG BUY (Score 6+)
- 🟢 BUY (Score 3-5)
- 🔴 SELL (Score -3 to -5)
- ❤️ STRONG SELL (Score -6 or less)
⚡ Perfect For:
- Beginners (simple, visual)
- Scalpers (avoid counter-trend trades)
- Swing traders (catch big moves)
- All markets (Crypto/Forex/Stocks)
🎁 100% FREE - No Hidden Fees!
Professional-grade tool. No strings attached.
Add now and trade with the confidence of seeing the complete market picture!
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Works on: BTC, ETH, ES, NQ, Major FX Pairs
Best results on liquid instruments
⬇️ FOLLOW for more free indicators!
EWO + MACD + RSI + Stochastic EWO + MACD + RSI + Stochastic + Trendline Breakout + Volume Percentage EWO + MACD + RSI + Stochastic + Trendline Breakout + Volume Percentage
EWO + MACD Divergence + Cross SignalsEWO + MACD Divergence + Cross Signals EWO + MACD Divergence + Cross Signals EWO + MACD Divergence + Cross Signals
EWO Buy Sell Signal with ReversalEWO Buy Sell Signal with Reversal EWO Buy Sell Signal with Reversal EWO Buy Sell Signal with Reversal EWO Buy Sell Signal with Reversal
BTCUSD Multi TP Trade Signal📘 Indicator Description: BTCUSD Multi TP Trade Signal
This indicator is designed to generate high-quality Buy/Sell signals on BTCUSD, using a simple yet effective EMA crossover strategy. It visually plots all associated Take-Profit (TP) and Stop-Loss (SL) levels, allowing traders to plan and manage their trades with precision.
🔑 Key Features
✅ Trade Direction Control: Select to trade Long, Short, or Both directions
✅ Signal Generation: Uses EMA 20/50 crossover logic for trend confirmation
✅ Visual Trade Levels: Plots 4 customizable TP levels and a fixed SL on the chart
✅ Trend Filter Option: Align signals with higher timeframe (HTF) market direction
✅ User-Controlled Settings: Adjustable profit/stop targets and filtering logic
✅ Non-executing tool: Ideal for manual, visual, or alert-based trading
⚙️ Input Settings
Parameter Function
Strategy Direction Filters signals by direction (all, long, short)
Length of Filter Period for trend filter (SMA) on HTF
Candle Time Resolution for time-based conditions
Length of ATR ATR period for potential future enhancements
HTF Higher Time Frame (e.g., Weekly) for trend alignment
Use Filter Toggle the HTF filter ON/OFF
Stop Loss Fixed SL in USD
Take Profit 1–4 TP levels in USD from entry price
📊 How It Works
A Buy signal is plotted when EMA 20 crosses above EMA 50 and other conditions are met.
A Sell signal is plotted when EMA 20 crosses below EMA 50.
Each trade signal includes clearly marked TP1, TP2, TP3, TP4, and SL levels.
Optional HTF trend filter ensures signals align with the broader market trend.
🧠 Best Use Cases
Works best on 15-minute to 1-hour BTCUSD charts
Ideal for trend-following intraday or swing trading
Use with confluence (volume, price action, or key levels) for best results
Buy Volume Spike AlertBuy Volume Spike Alert multi timeframe volume sahaja Buy Volume Spike Alert multi timeframe volume sahaja Buy Volume Spike Alert multi timeframe volume sahaja Buy Volume Spike Alert multi timeframe volume sahaja Buy Volume Spike Alert multi timeframe volume sahaja
MTF Vegas Tunnels & Pivot PointsThis indicator is a professional-grade multi-timeframe confluence tool combining two highly complementary trading frameworks:
Vegas Tunnels (EMA-based trend zones)
Pivot Points (market structure levels across multiple timeframes)
Its purpose is to help traders:
Read market direction with clarity
Spot key reaction zones before they happen
Combine dynamic trend with static structure
All in one compact and fully customizable tool.
🔍 What This Indicator Shows
🌀 MTF Vegas Tunnels – Trend Momentum Zones
Vegas Tunnels are dynamic trend zones built from a trio of long-term exponential moving averages: EMA 144, 169, and 233. These specific EMAs are widely used in trend-following strategies to filter noise and focus on the core direction of the market.
They are used to identify:
The dominant market trend
Pullback or breakout zones within that trend
Dynamic support/resistance areas where price may bounce, consolidate, or reverse
This script allows you to activate up to 6 Vegas tunnels, each linked to a different timeframe: 5 min, 15 min, 1H, 4H, 1D, 3D (fully customizable)
Each tunnel displays three curves :
Low = potential dynamic support (EMA 233)
Middle = trend core zone (EMA 169)
High = potential dynamic resistance (EMA 144)
By plotting these moving averages together, the indicator forms a tunnel that visually guides you through trending environments.
Each timeframe is color-coded for clarity, helping you quickly assess the trend structure across multiple layers of the market.
🧱 Pivot Points – Market Structure Mapping
Pivot Points are price levels used by institutional traders to track where price is likely to react. This tool includes pivot levels from four timeframes :
Daily
Weekly
Monthly
Yearly
For each timeframe, you can select which levels to display :
Pivot (P)
Support 1 (S1) / Resistance 1 (R1)
Up to S5/R5 if desired
These levels are plotted as horizontal lines with labels, making it easy to :
See confluence zones between different timeframes
Anticipate reaction areas with higher accuracy
Align trend with market structure
⚙️ Customization Features
Enable/disable tunnels individually by timeframe
Choose pivot timeframes and levels to show
Adjust visual style: label names, line thickness, max levels per timeframe
Customize colors for every curve and pivot group
The indicator is designed to be clean, modular, and non-intrusive, adaptable to any trading style.
🎯 Why Use This Indicator ?
This tool is ideal for traders who want to :
Trade with the trend, not against it
Identify high-probability zones for entry/exit
See how multiple timeframes align in one chart
Make better decisions by combining momentum and structure
Whether you're a scalper using intraday pivots and 5min tunnels, or a swing trader watching weekly zones and 4H trends — this script gives you a full tactical view.
ASK Screener by AshpreetThe ASK Indicator is a custom-built breakout and trend continuation system designed for swing traders seeking high-probability entries with strong risk-reward ratios. Built using a combination of moving averages, momentum filters, volume confirmation, and price structure, this indicator helps identify stocks poised for explosive moves.
It uses three key moving averages: the 44-period SMA (medium trend), 20-period DEMA (short-term strength, custom-coded), and 50-period WEMA (institutional trendline). Trades are only triggered when the price is above 50 WEMA, and the 20 DEMA is above the 44 SMA.
Momentum is confirmed using RSI(14) within a healthy zone of 40–60, ensuring the stock is not overbought or oversold. To focus on breakout candidates, the stock must be trading within 10% of its 52-week high, and the weekly candle range must be under 10%, signaling compression before expansion.
A valid ASK Signal occurs when these conditions are met along with a breakout above the previous day’s high and volume exceeding 1.5× the 20-day average. Once triggered, the indicator auto-plots the stop-loss (1× ATR) and two profit targets: 1:2 (TP1) and 1:4 (TP2).
Additionally, the system detects a narrow range setup, where the last 3 daily candles are inside the previous 3-day range — a powerful consolidation signal. Alerts for both ASK entries and narrow ranges are included.
This system is ideal for positional and short-term swing traders who want to combine structure, momentum, and volume in one powerful tool.
Market Energy – Trend vs Retest (with Saturation %)Market Energy – Trend vs Retest Indicator
This indicator measures the bullish and bearish energy in the market based on volume-weighted price changes.
It calculates two smoothed energy waves — bullish energy and bearish energy — using exponential moving averages of volume-adjusted price movements.
The indicator detects trend changes and retests by comparing the relative strength of these waves.
A saturation percentage quantifies the intensity of the current dominant side (bulls or bears) relative to recent highs.
- High saturation (>70%) indicates strong momentum and dominance by bulls or bears.
- Low saturation (<30%) suggests weak momentum and possible market indecision or consolidation.
The background color highlights the current control: green for bulls, red for bears, with transparency indicating the saturation level.
A label shows which side is currently in control along with the saturation percentage for quick interpretation.
Use this tool to identify strong trends, possible retests, and momentum strength to support your trading decisions.
MP Master VWAP [BackQuant]MP Master VWAP
Overview
MP Master VWAP is an, volume-weighted average price suite. It re-anchors automatically to any time partition you select—Day, Week, Month, Quarter or Year—and builds an adaptive standard-deviation envelope, optional pivot clusters and context-aware candle colouring so you can read balance, imbalance and auction edges in a single glance. We use private methods on calculating key levels, making them adaptive and more responsive. This is not just a plain VWAP.
Key Components
• Anchored VWAP core – The engine resets VWAP the instant a new session for the chosen anchor begins. Separator lines and a live high–low box make those rotations obvious.
• Dynamic sigma bands – Three upper and three lower bands, scaled by real-time standard deviation. 1-σ filters noise, 2-σ marks momentum, 3-σ flags exhaustion.
• Previous-period memory – The prior session’s VWAP and bands stay on-screen in a muted style so you can trade retests of last month’s value without clutter.
• High-precision price labels – VWAP and every active band print their prices on the hard right edge; labels vanish if you want a cleaner chart.
• Pivot package – Choose Traditional, Fibonacci or Camarilla calculations on a Daily, Weekly or Monthly look-back. Levels plot as subtle circles that complement, not compete with, the VWAP map.
• Context candles – Bars tint relative to their location: vivid red above U2, soft red between U1-U2, neutral grey inside value, soft green between L2-L1, vivid green below L2.
Customisation Highlights
Period section
• Anchor reset drop-down
• Toggles for separator lines and period high/low
Band section
• Independent visibility for L1/U1, L2/U2, L3/U3
• Individual multipliers to fit any volatility profile
• Optional real-time price labels
Pivot section
• Three formula choices
• Independent timeframe—mix a Monthly VWAP with Weekly Camarilla for confluence
Visual section
• Separate switches for current vs previous envelopes
• Candle-colour toggle for traders who prefer raw price bars
Colour section
• Full palette selectors to match dark or light themes instantly
Some Potential Ways it can be used:
Mean-reversion fade – Price spikes into U2 or U3 and stalls (especially at a pivot). Fade back toward VWAP; scale out at U1 and VWAP.
Trend continuation – Close above U1 on rising volume; trail a stop behind U1. Mirror setup for shorts under L1.
Breakout validation – Session gaps below previous VWAP but quickly reclaims it. Use the cross-above alert to automate entry and target U1 / U2.
Overnight inventory flush – Globex extremes that tag L2 / U2 often reverse at the cash open; scalp rotations back to VWAP.
Risk framing – Let the gap between VWAP and L2 / U2 dictate position size, keeping reward-to-risk consistent across assets.
Alerts Included
• Cross above / below current VWAP
• Cross first sigma bands (U1 / L1)
• Break above second sigma bands (U2) or below L2
• Touch of third sigma bands (U3 / L3)
• Cross of previous-period VWAP
• New period high or low
Best Practices
• Tighten sigma multipliers on thin-liquidity symbols; widen them on index futures or high-cap crypto.
• Pair the envelope with order-flow or footprint tools to confirm participation at band edges.
• On intraday charts, anchor a higher-timeframe VWAP (e.g., Monthly on a 15-minute) to reveal institutional accumulation.
• Treat the previous period’s VWAP as yesterday’s fair value—gaps that never revisit it often morph into trend days.
Final Notes
MP Master VWAP condenses auction-market theory into one readable overlay: automatic period resets, adaptive deviation bands, historical memory, multi-style pivots and self-explanatory colour coding. You can deploy it on equities, futures, crypto or FX—wherever volume meets time, VWAP remains the benchmark of true price discovery.
Momentum Buy/Sell signals (Nikko) v1.0📊 Momentum Volume Box Range Buy/Sell Signals (Nikko) v1.0
This indicator is a multi-factor momentum-based tool that helps identify potential Buy and Sell signals:
🔍 What it does
It combines several well-known indicators into a hybrid signal system and displays heatmaps, momentum lines, and Buy/Sell labels.
📈 How to use it
Buy Signals are shown when the hybrid K line crosses above D line in strong downward zones (oversold).
Sell Signals appear when K crosses below D, but only if a minimum profit % is reached since the last Buy.
The background heatmap color changes based on combined RSI and Vortex intensity:
Greenish = Bullish strength
Reddish = Bearish weakness
🟢 Buy/Sell Labels
Buy Labels: Triggered when strong downward momentum reverses (or price drops deeply).
Sell Labels: Only shown if price has moved up by the user-defined % profit since the last Buy.
🔧 Customization Options
You can toggle on/off:
Heatmap
Hybrid signal lines
Buy/Sell labels
Stochastic RSI area plot
Volume range and profile
EMA overlays (20, 50, 100, 200)
All major color elements are adjustable for visual clarity.
💡 Best Practices
Use on any timeframe, but it works best with higher timeframes (1H+).
Look for convergence between strong heatmap color and hybrid signal crossover.
Combine with price action or EMA trend context for better accuracy.
Note: This indicator is designed as a trading companion, not a standalone strategy. It combines multiple timeframes and parameters that would be difficult to monitor manually. Its purpose is to visually simplify complex signals, helping reduce the risk of poor entries.
However, it's essential to also consider macroeconomic factors, news events, and overall market sentiment, as they can significantly impact price action. Always use proper risk management and do your own research (DYOR).
ZenAlgo - DeltaThis indicator visualizes cumulative delta volume across multiple exchanges and trading pairs, with optional moving averages, divergence detection, and contextual labeling. It aggregates buy and sell volume from both spot and perpetual markets, applying normalization and visual encoding to highlight volume flow dynamics over time.
Volume Aggregation Logic
The script starts by collecting volume data from up to nine exchanges. It distinguishes between spot (e.g., USDT, USD) and perpetual markets (e.g., USDT.P, USD.P) using dynamically constructed tickers based on the asset's base currency. For each enabled exchange, it fetches volume using request.security , filtering out invalid or zero-volume responses.
Each set of volume data (spot1, spot2, perp1, perp2) is then processed through a reducer function that combines the values using a selected method—sum, average, median, or variance. These processed volumes are further categorized and summed into total spot and perp volume streams, forming the basis for downstream delta computations.
Delta Calculation
For each bar, the script decomposes the candlestick into wick and body proportions, calculating how much of the total volume might be attributed to upward or downward pressure. This estimation weights the volume by the visual structure of the candle—larger bodies and upper wicks in bullish candles suggest buying pressure; inverse logic applies for bearish candles.
These estimated buy and sell volumes are then subtracted to derive per-bar delta. A cumulative delta series is computed by summing this bar-by-bar delta across a user-defined window length.
Divergences on Delta
Fractal logic is applied to detect local highs and lows in the cumulative delta series. These points serve as anchors for divergence comparisons:
Regular divergences identify price making higher highs (or lower lows) while delta makes lower highs (or higher lows).
Hidden divergences look for the opposite (price pullback vs delta continuation).
The same logic is applied independently to:
Raw cumulative delta
A primary delta moving average
A secondary, slower moving average
Each can be configured with different lookback lengths and moving average types (SMA, EMA, WMA, HMA, RMA).
The divergence logic gains additional value when used in tandem with the delta moving averages and contextual temperature state. For example, a divergence detected on the slower delta average while the temperature band is in an “Extreme Hot” or “Cold” zone may indicate a more meaningful exhaustion event. This layered approach allows users to filter weaker divergences and focus on those that align with broader delta context.
Gradient and Temperature Context
A third moving average (e.g., WMA(50)) is used to provide a contextual "temperature" state of the delta environment. Based on deviations from its own mean and standard deviation, this third MA is classified into zones:
"Extreme Hot", "Hot", "Warm"
"Neutral"
"Cool", "Cold", "Extreme Cold"
These zones are encoded using color and transparency gradients in the chart’s background. This helps identify periods where delta conditions are statistically stretched or compressed relative to recent history.
EMA Cross Conditions
The script tracks crossover events between the short and long EMAs of delta, especially when these align with a directional shift in cumulative delta (e.g., zero-line cross). If confirmed by volume skew (more buy than sell or vice versa), specific visual markers are plotted.
Labels and Informational Lines
Dynamic labels are rendered on the latest bar showing:
Cumulative delta and last divergence
EMA values and associated divergence
"Slow MA" value and its temperature state
These labels float next to the latest values, using thematic or neutral colors based on user preference.
Buy/Sell Pressure Tables
Two optional tables display breakdowns of:
Buy vs Sell volume
Their percentage contribution
Net delta value
Market condition label (e.g., "Full Bull", "Bearish")
These are calculated over the selected lookback period and color-coded accordingly.
An experimental table compares raw and aggregated spot/perpetual volume contributions and their percentage skew.
Background Highlight Logic
Background colors are conditionally rendered based on buy/sell volume dominance. Several thresholds exist:
2x or 3x buy volume dominance → greenish tones
2x or 3x sell volume dominance → reddish tones
Combined with temperature overlays, this highlights areas of potentially high conviction from either side.
Cross Conditions
The script detects situations where cumulative delta crosses under buy/sell volume thresholds. Visual dots mark:
Negative delta intersecting rising sell volume
Positive delta intersecting rising buy volume
This provides additional cues when short-term volume shifts might contradict recent cumulative flow.
How to Interpret Values
Cumulative Delta (AggDelta): Tracks net buy vs sell pressure over time. A rising delta suggests persistent buying pressure, and vice versa.
Temperature State: Places delta flow into historical context. “Extreme Hot” implies sustained positive flow, possibly overextended; “Cold” signals inverse.
EMA Lines: Short- and long-term smoothing of delta for trend and divergence detection.
Cross Events: Represent moments when short EMA crosses over delta or long EMA, often signaling a directional momentum change.
Tables and Labels: Quantify volume dominance and flow state, helping assess if flow aligns with price structure.
How to Best Use
For context: Observe overall slope and temperature of the third MA. High deviations often precede cooling or reversal.
For confluence: Look for alignment between price structure (e.g., higher highs) and delta divergence to identify exhaustion or continuation.
For short-term timing: Watch EMA crosses and volume conditions (e.g., buy volume increasing while delta crosses above zero).
Added Value Compared to Other Free Indicators
Multi-exchange Aggregation: Includes spot and perp data across major exchanges with flexible inclusion settings.
Granular Delta Estimation: Uses candle body/wick proportions rather than simple up/down tick assumptions.
Context-Aware Visualization: Integrates volume gradient, statistical deviation zones, and divergence overlays in one compact view.
Highly Customizable: Users can fine-tune divergence, moving average, color scheme, and table display independently.
Integrated View with Synergistic Logic: Unlike using several isolated scripts, this indicator unifies delta flow, divergence, volume dominance, and statistical context into one coherent framework. This synergy reduces the need to reconcile signals from different sources and allows for clearer judgment when multiple conditions align.
Limitations and Disclaimers
Delta Approximation: Calculated using heuristic candle shape assumptions; not a tick-level order book delta.
Exchange Coverage: Relies on availability of correct tickers and historical volume data via TradingView’s request.security .
Visual Lag: Cumulative delta and divergence patterns may develop over several bars and are not predictive on their own.
No Entry Signals: This indicator does not provide trading signals, nor does it evaluate risk or price targets.
Additional Limitations
This indicator estimates delta from candle shape and volume distribution heuristics. In low-liquidity markets or on lower timeframes, this estimation may misrepresent actual flow dynamics, especially during volatile spikes or news-driven moves. Divergence patterns may appear with delay or persist without price reaction, particularly in ranging or algorithmically driven markets. Users should combine these tools with broader context and price action awareness rather than relying on isolated delta events.
