Liquidity Spectrum Visualizer [BigBeluga]🔵 OVERVIEW
The Liquidity Spectrum Visualizer is a smart tool for exposing hidden liquidity zones by combining a dynamic volume profile, clear liquidity levels, and intuitive volume bubbles directly on your price chart. It shows you exactly where significant volume is clustering inside your chosen lookback period — highlighting where big market participants may be defending price or planning breakouts.
🔵 CONCEPTS
Volume Profile Bins: Breaks your custom lookback range into 100 fine price bins, calculating total volume per bin to create a precise vertical liquidity histogram.
Liquidity Levels: Bins with high relative volume automatically plot as horizontal lines — thicker and brighter lines signal stronger liquidity concentrations.
Dynamic Coloring: Profile bins and liquidity levels adjust their colors live based on whether current price is trading above (support) or below (resistance).
Volume Bubbles: Each candle displays a bubble at its HLC3 price —
- The bubble’s size shows relative candle volume.
- Its color gradient indicates bullish or bearish volume: greenish for bullish candles, orange for bearish.
Bubble Labels: The largest bubbles automatically label the actual volume amount, revealing big hidden flows.
Range Box High/Low: Marks the absolute swing high and low inside the lookback window, clearly framing the active liquidity zone.
🔵 FEATURES
Smart, auto-scaled volume profile up to 200 candles (or custom).
Liquidity levels with dynamic thickness and color based on real-time volume.
Bubbles sized and colored to show both volume magnitude and bullish/bearish bias.
Largest bubbles labeled for fast detection of high-impact bars.
High and low price labels clearly show the analyzed range.
Toggle Volume Profile, Liquidity Levels, and Bubbles independently.
🔵 HOW TO USE
Watch for thick, bright liquidity levels — these zones mark where large orders or stop clusters are likely hidden.
Use dynamic coloring: if price is above a level, it’s support; if below, it’s resistance.
Pay special attention to big bubbles: these mark sudden spikes in traded volume and can signal absorption, traps, breakouts or significant price levels.
Combine with your existing confluence tools to confirm breakouts or fakeouts around visible liquidity clusters.
🔵 CONCLUSION
The Liquidity Spectrum Visualizer transforms hidden order flow into an intuitive, color-coded map. You see at a glance where price is absorbing, consolidating, or ready to break — all powered by real-time volume behavior and smart visuals. It’s a must-have tool for traders who want to read liquidity and react ahead of the crowd.
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IU Fibonacci Levels For IntradayDESCRIPTION
This indicator draws intraday Fibonacci levels from the opening price of the day using percentage-based retracements. It helps traders identify potential intraday support and resistance zones derived from the day’s opening bias. The levels are dynamically calculated and displayed with optional labels and customizable colors, making it an effective tool for both breakout and mean-reversion intraday strategies.
USER INPUTS
Direction Of The Level
Choose whether to show Upside, Downside, or Both level sets based on your directional bias.
Show Labels of Levels
Option to enable or disable text labels displaying Fibonacci values and prices.
Individual Level Toggles & Colors
You can choose to show or hide each of the following Fibonacci levels and set their respective colors:
* 0.236
* 0.328
* 0.500
* 0.618
* 0.786
* 1.000
INDICATOR LOGIC
On the first bar of the session, the opening price is captured.
Fibonacci levels are then calculated above and below this open using percentage multipliers (for example, day\_open + (day\_open \* 0.236%) for the 0.236 level).
Depending on the selected direction, upside and/or downside levels are plotted.
Filled zones are drawn between levels to visually highlight key price zones.
Optionally, each level can be labeled with its Fibonacci value and price.
WHY IT IS UNIQUE
Unlike traditional swing-based Fibonacci retracements, this tool uses the day’s opening price as an anchor, specifically designed for intraday traders.
Allows traders to quickly visualize micro-support and resistance levels that adapt every day.
Highly customizable and easy to read, with filled level bands for better zone recognition.
Works independently of indicators like RSI, MACD, or moving averages – purely based on price action logic.
HOW USER CAN BENEFIT FROM IT
Spot precise intraday reversal zones or breakout regions.
Combine with price action or volume analysis for smarter entries.
Filter trades by choosing directional bias (Up Site, Down Site, or Both).
Set profit targets or stop-losses based on Fibonacci bands.
Works great for scalpers, day traders, and even short-term swing traders looking to align with opening price momentum.
Disclaimer
This indicator is not financial advice, it's for educational purposes only highlighting the power of coding( pine script) in TradingView, I am not a SEBI-registered advisor. Trading and investing involve risk, and you should consult with a qualified financial advisor before making any trading decisions. I do not guarantee profits or take responsibility for any losses you may incur.
Liquidity Break Probability [PhenLabs]📊 Liquidity Break Probability
Version: PineScript™ v6
The Liquidity Break Probability indicator revolutionizes how traders approach liquidity levels by providing real-time probability calculations for level breaks. This advanced indicator combines sophisticated market analysis with machine learning inspired probability models to predict the likelihood of high/low breaks before they happen.
Unlike traditional liquidity indicators that simply draw lines, LBP analyzes market structure, volume profiles, momentum, volatility, and sentiment to generate dynamic break probabilities ranging from 5% to 95%. This gives traders unprecedented insight into which levels are most likely to hold or break, enabling more confident trading decisions.
🚀 Points of Innovation
Advanced 6-factor probability model weighing market structure, volatility, volume, momentum, patterns, and sentiment
Real-time probability updates that adjust as market conditions change
Intelligent trading style presets (Scalping, Day Trading, Swing Trading) with optimized parameters
Dynamic color-coded probability labels showing break likelihood percentages
Professional tiered input system - from quick setup to expert-level customization
Smart volume filtering that only highlights levels with significant institutional interest
🔧 Core Components
Market Structure Analysis: Evaluates trend alignment, level strength, and momentum buildup using EMA crossovers and price action
Volatility Engine: Incorporates ATR expansion, Bollinger Band positioning, and price distance calculations
Volume Profile System: Analyzes current volume strength, smart money proxies, and level creation volume ratios
Momentum Calculator: Combines RSI positioning, MACD strength, and momentum divergence detection
Pattern Recognition: Identifies reversal patterns (doji, hammer, engulfing) near key levels
Sentiment Analysis: Processes fear/greed indicators and market breadth measurements
🔥 Key Features
Dynamic Probability Labels: Real-time percentage displays showing break probability with color coding (red >70%, orange >50%, white <50%)
Trading Style Optimization: One-click presets automatically configure sensitivity and parameters for your trading timeframe
Professional Dashboard: Live market state monitoring with nearest level tracking and active level counts
Smart Alert System: Customizable proximity alerts and high-probability break notifications
Advanced Level Management: Intelligent line cleanup and historical analysis options
Volume-Validated Levels: Only displays levels backed by significant volume for institutional-grade analysis
🎨 Visualization
Recent Low Lines: Red lines marking validated support levels with probability percentages
Recent High Lines: Blue lines showing resistance zones with break likelihood indicators
Probability Labels: Color-coded percentage labels that update in real-time
Professional Dashboard: Customizable panel showing market state, active levels, and current price
Clean Display Modes: Toggle between active-only view for clean charts or historical view for analysis
📖 Usage Guidelines
Quick Setup
Trading Style Preset
Default: Day Trading
Options: Scalping, Day Trading, Swing Trading, Custom
Description: Automatically optimizes all parameters for your preferred trading timeframe and style
Show Break Probability %
Default: True
Description: Displays percentage labels next to each level showing break probability
Line Display
Default: Active Only
Options: Active Only, All Levels
Description: Choose between clean active-only view or comprehensive historical analysis
Level Detection Settings
Level Sensitivity
Default: 5
Range: 1-20
Description: Lower values show more levels (sensitive), higher values show fewer levels (selective)
Volume Filter Strength
Default: 2.0
Range: 0.5-5.0
Description: Controls minimum volume threshold for level validation
Advanced Probability Model
Market Trend Influence
Default: 25%
Range: 0-50%
Description: Weight given to overall market trend in probability calculations
Volume Influence
Default: 20%
Range: 0-50%
Description: Impact of volume analysis on break probability
✅ Best Use Cases
Identifying high-probability breakout setups before they occur
Determining optimal entry and exit points near key levels
Risk management through probability-based position sizing
Confluence trading when multiple high-probability levels align
Scalping opportunities at levels with low break probability
Swing trading setups using high-probability level breaks
⚠️ Limitations
Probability calculations are estimations based on historical patterns and current market conditions
High-probability setups do not guarantee successful trades - risk management is essential
Performance may vary significantly across different market conditions and asset classes
Requires understanding of support/resistance concepts and probability-based trading
Best used in conjunction with other analysis methods and proper risk management
💡 What Makes This Unique
Probability-Based Approach: First indicator to provide quantitative break probabilities rather than simple S/R lines
Multi-Factor Analysis: Combines 6 different market factors into a comprehensive probability model
Adaptive Intelligence: Probabilities update in real-time as market conditions change
Professional Interface: Tiered input system from beginner-friendly to expert-level customization
Institutional-Grade Filtering: Volume validation ensures only significant levels are displayed
🔬 How It Works
1. Level Detection:
Identifies pivot highs and lows using configurable sensitivity settings
Validates levels with volume analysis to ensure institutional significance
2. Probability Calculation:
Analyzes 6 key market factors: structure, volatility, volume, momentum, patterns, sentiment
Applies weighted scoring system based on user-defined factor importance
Generates probability score from 5% to 95% for each level
3. Real-Time Updates:
Continuously monitors price action and market conditions
Updates probability calculations as new data becomes available
Adjusts for level touches and changing market dynamics
💡 Note: This indicator works best on timeframes from 1-minute to 4-hour charts. For optimal results, combine with proper risk management and consider multiple timeframe analysis. The probability calculations are most accurate in trending markets with normal to high volatility conditions.
Universal Sentiment Oscillator with Trade RecommendationsUniversal Sentiment Oscillator & Strategy Guide
Summary
This all-in-one indicator is designed to be a comprehensive co-pilot for your trading journey. It moves beyond simple buy/sell signals by analyzing the underlying market sentiment and providing a dynamic, risk-assessed guide of potential trading strategies. Whether you're a novice learning the ropes or an expert seeking confirmation, this tool provides a structured framework for making smarter, more informed decisions in stocks, options, and futures.
How It Works
The core of the indicator is the Sentiment Oscillator, which calculates a score from -5 (Extremely Bearish) to +5 (Extremely Bullish) on every bar. This isn't just a single measurement; it's a weighted aggregate of several key technical conditions:
Trend Analysis: Price position relative to the 20, 50, and 200 EMAs.
Momentum Analysis: The current RSI value.
Hybrid Analysis: The state of the MACD and its signal line.
These factors are intelligently combined and normalized to produce a single, intuitive sentiment score, giving you an at-a-glance understanding of the market's pulse.
Core Features
Dynamic Trade Recommendation Table:
The informational heart of the indicator. This on-chart table provides a list of potential trades perfectly aligned with the current sentiment score.
Risk-Ranked Strategies:
All suggested trades are logically ordered by risk, helping you quickly identify strategies that match your comfort level.
Adjusted Trade Suggestions:
The indicator analyzes sentiment momentum (the score vs. its signal line) to provide proactive, forward-looking trade ideas based on where the market might be heading next.
Customizable Trading Styles:
Tell the indicator if you are a Conservative, Neutral, or Aggressive trader, and the "Adjusted Trade Suggestion" will automatically tailor its recommendations to your personal risk preference.
Context-Aware Futures Mode:
When viewing a futures contract, enable this mode to switch all recommendations from stock/options to futures-specific actions (e.g., "Cautious Long," "Monitor Range").
Predictive Sentiment Cone:
Visualize the potential short-term path of sentiment based on current momentum, helping you anticipate future conditions.
Fully Customizable:
Every parameter—from EMA lengths to trade filters—can be adjusted, allowing you to fine-tune the indicator to your exact specifications.
How to Use This Indicator
This tool is flexible and can be integrated into many trading systems. Here is a powerful, professional approach:
Top-Down Analysis (for Swing or Position Trading):
Establish the Trend: Start on the higher timeframes (Monthly, Weekly, Daily). Use the oscillator's color and score to define the dominant, long-term market sentiment. You only want to look for trades that align with this macro trend.
Refine the Entry: Drop down to the medium timeframes (4-Hour, 1-Hour). Wait for the sentiment on these charts to come into alignment with the higher-timeframe trend. This pullback or consolidation is your "zone of interest."
Pinpoint the Execution: Move to a lower timeframe (e.g., 15-Minute). Use the Adjusted Trade Suggestion and Sentiment Momentum to find a precise entry as momentum begins to shift back in the direction of the primary trend. You can set alerts on the oscillator's zero-line for early warnings of a sentiment shift.
As a Confirmation Tool: If you have an existing trade idea, use the indicator to validate it. Does the sentiment score align with your bullish or bearish thesis? Does the momentum confirm that now is a good time to enter?
As an Idea Generation Tool: Unsure what to trade? Browse different assets and let the indicator's "Primary Trades" and "Adjusted Trade Suggestion" present you with a list of risk-assessed ideas that you can then investigate further.
Disclaimer: This is an analysis tool and should not be considered financial advice. All forms of trading involve substantial risk. You should not trade with money you cannot afford to lose. Always perform your own due diligence and use this indicator as one component of a complete trading plan.
BeeQuant - Hive Visualizer💠 OVERVIEW
The " Hive Visualizer " is a game-changing, invite-only tool, expertly designed to give every trader, from beginner to experienced, instant and clear visual clues about what price is doing. Its main job is to easily show you the highest and lowest points price has reached recently. Think of it as a smart, automated helper that colors your candles to reveal powerful market moves. This helps you quickly see if prices are getting stronger or weaker right on your chart. It's a groundbreaking, high-quality tool that cuts through the noise, making it simple to spot key moments when the market is about to make a big move up or down, giving you an edge.
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🧠 CONCEPTS
The core philosophy behind Hive Visualizer is rooted in contextual volatility exposure and directional bias reinforcement. Through a sophisticated internal mechanism that evaluates local maxima/minima behavior within a compact temporal field, the indicator provides adaptive color‑based candle transitions that align with latent directional pressure.
1. Uses localized equilibrium breach detection to monitor directional intent and exhaustion points.
2. Embeds a dynamically updating framework that reacts to both trend continuation and structural reversals.
3. Avoids false positives by disregarding noisy fluctuations below system‑defined relevance thresholds.
4. Provides non‑repainting, fully forward‑confirmed visual outputs for reliable retrospective analysis.
Hive Visualizer is not designed to be predictive. Instead, it allows traders to observe the evolution of price structure in a cleaner and more digestible format, supporting high-confidence discretionary execution or automated model overlays.
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✨ FEATURES
The "Hive Visualizer" comes with a suite of smart features, all designed for amazing clarity, quick reactions, and deeper understanding, making your charting experience truly effortless:
🔹 Easy Range Customization
A super easy "Smoother" setting lets you perfectly adjust how the indicator reacts to recent price changes. This means you can fine-tune it to match exactly how you like to trade
🔹 Instant, Clear Signals
The simple Green and Red candles give you immediate, unmistakable visual cues about strong upward or downward moves, providing insights you can grasp in a heartbeat.
🔹 Smart Continuity in Quiet Times
The clever way it keeps the same color for candles that aren't breaking out offers valuable, subtle insights into those periods when the market is just moving sideways or finding its balance, helping you see the hidden dynamics.
🔹 Seamless Chart Integration
This indicator works like a transparent overlay, appearing directly on your price chart without getting in the way or changing your original candles. It fits perfectly, making your analysis smooth and uninterrupted.
🔹 Clean and Focused Visuals
The indicator’s simple design focuses only on coloring the main candle body and border to clearly highlight important breakouts. This keeps your chart clean and effective, showing you only what truly matters.
🔹 Cross-Market Versatility
This indicator is engineered to perform with precision across all major markets—whether you're trading forex, commodities, stocks, or indices. Its adaptive logic automatically aligns with the unique volatility and structure of each asset class, delivering consistently reliable insights no matter where you trade.
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⚙️ USAGE
Using and making the "Hive Visualizer" a part of your trading routine is incredibly simple and designed to significantly boost how you understand the market:
Getting Started: Once you have access, just add the "Hive Visualizer" indicator to any chart and timeframe you want on TradingView. It's that easy.
Tuning the "Smoother" Setting: Go into the indicator's settings and play with the "Smoother" number. This is a crucial step to make it react just right for you.
Smaller numbers (like 1-3 bars) will make the indicator very quick to react to the most recent, short-term ups and downs, perfect for fast trading.
Larger numbers (like 5-10+ bars) will give you a wider view, smoothing out small changes and highlighting bigger, more important breakouts, ideal for longer-term analysis. Spend a little time trying different settings to find what works best for your chosen asset and your trading style – it's like finding the perfect lens for your market view.
Understanding the Colors: Once you've set it up, here's how to quickly understand what the "Hive Visualizer" is telling you: New Green Candle: This means a strong sign that buyers are in control and prices are likely to keep moving up, giving you confidence in bullish moves.
New Red Candle: This indicates as a strong signal that sellers are dominating and prices are likely to keep moving down, preparing you for bearish shifts.
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⚠️ LIMITATIONS
👉 Visual Guide, Not a Bot: Use as part of a broader strategy—it won’t auto‑trade for you
👉 Retroactive Insight: It reflects past price action; it doesn’t predict the future.
👉 Setting‑Dependent: Effectiveness relies on your “Smoother” choice—too low = noise; too high = lag.
👉 Price‑Range Focused: Highlights trends and range only — doesn’t analyze volume, news, or other complex factors.
👉 This tool enhances trend validation but isn’t a standalone signal generator.
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🎯 CONCLUSION
The "Hive Visualizer" offers an incredibly easy-to-use and adaptable way to see price strength and weakness with crystal clarity on your charts. By giving you instant, clear feedback on whether prices are powerfully breaking out or falling below a recent historical range, it truly empowers you to quickly understand market momentum and spot key turning points. Seamlessly add this smart visual tool into your current trading methods to gain a sharper, more insightful view, and elevate your trading decisions. It's about seeing the market with new eyes.
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🚨 RISK DISCLAIMER
Engagement in financial market speculation inherently carries a substantial degree of inherent risk, and the potential for capital diminution, potentially exceeding initial deposits, is a pervasive and non-trivial consideration. All content, algorithmic tools, scripts, articles, and educational materials disseminated by "Hive Visualizer" are exclusively purposed for informational and pedagogical objectives, strictly for reference. Historical performance data, whether explicitly demonstrated or implicitly suggested, offers no infallible assurance or guarantee of future outcomes. Users bear sole and ultimate accountability for their individual trading decisions and are emphatically urged to meticulously assess their financial disposition, risk tolerance parameters, and conduct independent due diligence prior to engaging in any speculative market activity.
TradeCrafted - Previous 10 Highs and LowsUnlock the power of historical price action with the 10-Day Highs & Lows Indicator! This innovative tool analyzes the highest and lowest price levels of the past 10 trading days and projects them as fixed lines onto the current session. By plotting these crucial support and resistance levels, traders gain a clear visual edge to anticipate market reactions, trend reversals, and breakout opportunities.
🔥 Key Features:
✅ Precision Levels – Automatically plots the previous 10 days' highs and lows for accurate decision-making.
✅ Fixed Lines for Clarity – Levels remain unchanged throughout the session, providing a stable reference.
✅ Enhanced Market Structure Analysis – Identify key zones where price is likely to react.
✅ Ideal for All Traders – Whether you're a scalper, swing trader, or intraday enthusiast, these levels offer a strong foundation for your strategy.
🚀 Why Use This Indicator?
Markets move in cycles, and historical highs and lows act as magnets for price action. By integrating this tool into your trading arsenal, you can spot potential breakouts, retests, and reversals with greater confidence!
Elevate your technical analysis and trade smarter with the 10-Day Highs & Lows Indicator! 🔥
How to use : Trader Can take Buy entry if price is near line and taking reversal from it so it will be very good for trader to manage the stop loss. Simply if it goes below the line, just cut the trade to avoid unnecessary and huge loss. This Indicator will help Trader to take correct entry and exit.
Hope my effort will help trader to stay in profit.
Volume Weighted Average Price Dynamic Slope [sgbpulse]VWAP Dynamic Slope: A Comprehensive Indicator for Trend Identification and Smart Trading
Introducing VWAP Dynamic Slope, an innovative TradingView indicator that harnesses the power of Volume Weighted Average Price (VWAP) and enhances it with immediate visual feedback. The indicator colors the VWAP line based on its slope, allowing you to quickly and easily identify the direction and strength of the current trend for the asset, providing advanced tools for in-depth analysis.
What is VWAP and Why is it so Important?
VWAP (Volume Weighted Average Price) is an indicator that represents the average price at which an asset has traded, weighted by the volume traded at each price level. Unlike a simple moving average, VWAP gives greater weight to trades executed with high volume, making it a reliable measure of the asset's "true" or "fair" price within a given period. Many institutional traders use VWAP as a central reference point for evaluating the effectiveness of entries and exits. An asset trading above its VWAP is considered to have bullish momentum, and below it – bearish momentum.
How it Works: Dynamic VWAP Slope Analysis
VWAP Dynamic Slope analyzes the inclination of the VWAP line and displays it using an intuitive color scheme:
Positive Slope (Uptrend): When the VWAP points upwards, signaling positive momentum, the default color will be green.
Negative Slope (Downtrend): When the VWAP points downwards, signaling negative momentum, the default color will be orange.
Trend Change (CHG): When a change in the VWAP's trend direction occurs, a "CHG" label will be displayed. The label's color will be green if the change is to an uptrend, and orange if the change is to a downtrend.
Identifying Steep Slopes for Increased Momentum:
The indicator's uniqueness lies in its ability to identify "steep" slopes – rapid and particularly strong changes in the VWAP's direction. This indicates exceptionally strong momentum:
Steep Positive Slope: The VWAP color will change to dark green, indicating significant buying pressure.
Steep Negative Slope: The VWAP color will change to dark red, indicating significant selling pressure.
Dynamic Momentum Strength Label: In situations of steep slope (positive or negative), a dynamic label will be displayed with the change value of the VWAP at that point. This label allows you to monitor momentum strength, intensification, or weakening in real-time.
Advanced Analytical Tools for Complete Control
VWAP Dynamic Slope provides you with unprecedented flexibility through a variety of customizable tools:
Multiple VWAP Anchors and Visual Marking:
Common Time Anchors: Choose whether the VWAP resets at the beginning of each Session (daily), Week, Month, Quarter, Year, Decade, or Century.
Advanced Intraday Anchors: Within the Session, you can choose to calculate VWAP specifically for Pre-Market, Regular Hours, and Post-Market hours. This option is particularly crucial for intraday traders.
Important Event Anchors: The indicator allows for VWAP resets at significant milestones such as Earnings, Dividends, and Splits, for analyzing the market's immediate reaction.
Visual Anchor Marking: To enhance clarity and orientation, a Label ⚓ can be displayed at each selected anchor point, helping to immediately identify the start point of the VWAP calculation in the chosen context.
Customizable Bands (Up to Three on Each Side):
Add up to three Bands above and below the VWAP to identify areas of deviation and excursion from the average price. You have two calculation options:
Standard Deviation: Based on volatility and statistical distance from the VWAP.
Percentage: Defines fixed percentage-based bands from the VWAP.
Key Pre-Market Levels (Pre-Market High/Low):
Display the Pre-Market High and Low levels as separate lines on the chart. These lines often serve as important psychological support and resistance zones, allowing you to see how the VWAP behaves near them.
Full Customization and Precise Control:
VWAP Source Selection: Determine which price data type will be used for the VWAP calculation. The default is HLC3 (average of High, Low, and Close), but any other relevant data source available in TradingView can be selected.
Offset: Set an offset for the VWAP line, allowing you to shift it left or right on the time axis by a chosen number of bars.
Customizable Colors: Choose your preferred colors for each slope state, Pre-Market High/Low lines, and Bands.
Setting the "Steepness" Threshold (Per-mille Price Change Per Minute ‱/min with Auto-Adjustment): Determine the sensitivity for identifying a steep slope by setting the required change threshold in VWAP in terms of per-mille price change per minute (‱/min). The indicator performs smart adjustment for any timeframe you select on the chart (e.g., 30 seconds, 1 minute, 5 minutes, 10 minutes, etc.), ensuring that the "steepness" setting maintains consistency and relevance.
Examples for Setting the Steepness Threshold:
Suppose you set the steepness threshold to 0.3‱/min (per-mille price change per minute).
On a 30-second chart: The indicator will check if the VWAP changed by 0.15 ‱/min (half of the per-minute threshold) within a single bar. If so, the slope will be considered steep. Explanation: Since 30 seconds is half a minute, the indicator looks for a change that is half of the threshold set for a full minute.
On a 1-minute chart: The indicator will check if the VWAP changed by 0.3 ‱/min (the full per-minute threshold) within a single bar. If so, the slope will be considered steep. Explanation: Here, the bar represents a full minute, so we check the full threshold.
On a 5-minute chart: The indicator will check if the VWAP changed by 1.5 ‱/min (5 times the per-minute threshold) within a single bar. If so, the slope will be considered steep. Explanation: A 5-minute bar contains 5 minutes, so the cumulative change in VWAP needs to be 5 times greater to be considered "steep" on the same scale.
In summary, this setting allows you to precisely and uniformly control the sensitivity of steep slope detection across all timeframes, providing immense flexibility in analyzing the asset's momentum.
Advantages of Using Per-mille Price Change Per Minute (‱/min)
Using per-mille price change per minute (‱/min) offers several key advantages for your indicator:
Normalized and Objective Measurement: It provides a uniform scale for the VWAP's rate of change, regardless of the asset's price or nominal value. A 0.1 per-mille change per minute always carries the same relative significance.
Comparison Across Different Asset Prices: Using per-mille allows for direct comparison of VWAP movement strength between assets trading at very different prices (e.g., a $100 asset versus a $1 asset), enabling an understanding of true momentum without bias from the nominal price.
Smart Timeframe Agnostic Adjustment: This is a critical capability. The indicator automatically adjusts the per-mille per minute threshold you set to any chart timeframe (30 seconds, 1 minute, 5 minutes, etc.), maintaining consistency in "steepness" detection without manual recalibration.
Precise Momentum Identification: This measurement precisely identifies when the VWAP's rate of change becomes significant, and when momentum strengthens or weakens, contributing to more informed trading decisions.
In short, per-mille change per minute (‱/min) provides accuracy, consistency, and flexibility in identifying VWAP momentum changes, with smart adaptation across all timeframes.
Who is this Indicator For?
VWAP Dynamic Slope is a powerful tool for:
Intraday Traders: For quick identification of intraday trend directions and momentum across any timeframe, with specific consideration for Pre-Market, Regular Hours, or Post-Market VWAP, and incorporating key pre-market levels.
Swing Traders and Long-Term Investors: For analyzing longer-term trends based on periodic and event-driven VWAP anchors.
Beginner Traders: As an excellent visual aid for understanding the relationship between price, volume, and trend direction, and how different anchor points, pre-market levels, and data sources influence price behavior.
Experienced Traders: For integration with existing strategies, gaining additional confirmation for trend strength identification, and highly precise and flexible parameter calibration.
VWAP Dynamic Slope provides a rich, multi-dimensional layer of information about the VWAP, helping you make more informed trading decisions in real-time, within the context of your chosen asset.
Volume Profile Delta & DOM @MaxMaserati 2.0Volume Profile Delta & DOM @Maxserati 2.0- Real Order Flow Analysis
What this indicator actually does!!!
Most volume indicators just show you total volume - which honestly doesn't tell you much. This one breaks down WHO is driving that volume. Big difference between 1000 shares of balanced buying/selling versus 800 buy + 200 sell. This tool shows you exactly that breakdown at every price level.
Trading without this kind of data means you're basically trading blind. Price action is important, but without knowing if smart money is buying or selling, you're mostly guessing. This gives you the same view that institutional traders have.
The main components
**DOM Display**: Shows real-time order flow with separate columns for buying and selling volume at each price level. You can toggle any column on/off depending on what you actually use.
**Volume Delta**: This is the key part - it shows net buying pressure (buy volume minus sell volume) at each price. When you see heavy buying at a support level, that's usually a good sign. When you see heavy selling at resistance, different story.
**Understanding the key columns:**
- **VPS (Volume Profile Sell)**: Shows selling volume (bid volume) at each price level - how much selling pressure exists
- **VPB (Volume Profile Buy)**: Shows buying volume (ask volume) at each price level - how much buying pressure exists
- **VPD (Volume Profile Delta)**: The difference between VPB and VPS (buy volume minus sell volume) - this tells you who's winning the battle at each price
**Time & Sales**: Live trade data with timestamps. There are filters so you can ignore the small retail trades and focus on the size that actually moves markets.
**Recent Activity**: Tracks momentum by showing cumulative buying/selling above and below current price. Useful for seeing if institutions are accumulating or distributing.
Why volume analysis works
Professional traders don't just look at price. They look at volume because volume precedes price movement. When smart money starts accumulating a position, you'll see it in the volume before you see it in price.
Think about it - if a stock is at $100 and someone wants to buy 100,000 shares, they can't just market buy it all at once without moving the price. They'll spread it out, but you can still see the accumulation pattern if you know where to look.
Real trading applications
**For day trading**: This works well for timing entries. If you see price breaking a level but volume delta is negative, that's usually a fake breakout. If volume confirms the move, much higher probability trade.
**For swing positions**: Great for finding accumulation zones. When you see consistent buying volume at certain levels over multiple days, institutions are likely building positions there.
**Risk management**: Volume shifts often happen before price reversals. If you're long and suddenly see heavy selling volume while price is still going up, that's a good exit signal.
Multi-market setup
Works on stocks, futures, forex, and crypto. The indicator automatically detects what type of market you're trading and adjusts accordingly. For forex it uses tick volume since real volume isn't available. For crypto it handles the decimal precision properly.
Customization options
You can show or hide any column depending on your trading style. If you're just scalping, maybe you only need price and delta. If you're doing deeper analysis, turn on all the columns.
There's color customization since everyone has their preferences, and text sizing because not everyone trades on huge monitors.
The indicator has both real-time and backtesting modes. Real-time for live trading, backtesting for developing strategies with historical volume data.
Learning curve
Fair warning - this isn't a simple moving average. There's a learning curve to reading order flow properly. Start by watching how volume patterns develop around known support and resistance levels.
Pay attention to volume divergences. If price makes a new high but volume delta is weaker, that's often a warning sign. If price breaks down but there's no real selling volume, it might be a false breakdown.
Performance notes
This processes a lot of data in real-time, so disable any columns you don't actually use. The more features you enable, the more processing power it needs.
Works best on lower timeframes (1-15 minutes) where you can see the tick-by-tick order flow. Still useful on higher timeframes but less granular.
## Bottom line
If you're serious about trading and want to see what institutional money is doing instead of just guessing from price action alone, this will help. It's not magic - you still need to understand market structure and have a trading plan. But it gives you information that most retail traders don't have access to.
The goal is to stop trading against smart money and start trading with them. Volume tells you where they're active.
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*Works on all markets. Real volume for stocks/futures, tick volume for forex. Compatible with TradingView's replay feature for backtesting.*
TreeCandlePattern-FusimetriaA Powerful 3-Candle Reversal Pattern Inspired by Smart Money Principles
How to Use the Indicator Effectively
This pattern works exceptionally well across higher timeframes (H4, Daily, Weekly) where institutional traders operate, often appearing at key turning points in the market.
Key Settings
Best Timeframes: H1 for intraday trades, H4/Daily for swing positions
Customisation Options: Adjust arrow colours (green for bullish, red for bearish) and size for better visibility
Alerts: Set notifications for when new signals appear to catch reversals early
The indicator automatically marks:
🔺 Bullish reversals (when price breaks under previous lows then surges back up)
🔻 Bearish reversals (when price spikes above prior highs then collapses)
The Trading Philosophy Behind the Pattern
This setup is remarkably similar to the classic "Power of Three" reversal structure, where:
The First Candle shows the final push of the current trend (either greed in an uptrend or fear in a downtrend)
The Second Candle traps retail traders by creating false breakouts (where smart money accumulates or distributes)
The Third Candle confirms the reversal by closing beyond the extreme of the second candle
Why This Works Like Smart Money Trading
Institutional traders often use these false breakouts to enter positions against the crowd
The third candle's close beyond the extreme shows absorption of liquidity (stops being taken out before reversal)
Works particularly well near key support/resistance levels where banks and hedge funds place their orders
Advanced Confirmation Techniques
To filter out false signals and trade like the professionals:
Volume Analysis
Look for higher volume on the second candle (shows strong institutional interest)
The third candle should ideally have lower volume as retail traders get trapped
Price Action Context
Works best after strong trends (not in ranging markets)
Combine with Fibonacci levels (61.8% retracements often see reversals)
Watch for wick rejections on the third candle (shows failure of breakout)
Example: Bitcoin (BTC/USDT) Daily Chart
!
After a long uptrend, price makes a false breakout above resistance (second candle)
The next candle closes below the second candle's low, confirming reversal
This was followed by a 30% drop as smart money exited longs
When to Enter & Exit Trades
✅ Entry: At the open of the fourth candle after confirmation
✅ Stop Loss: Just beyond the extreme of the second candle
✅ Take Profit: At nearest support/resistance level or using 1:2 risk-reward
⚠️ Avoid This Pattern In:
Choppy, sideways markets
During major news events when price action becomes erratic
Market Matrix ViewThis technical indicator is designed to provide traders with a quick and integrated view of market dynamics by combining several popular indicators into a single tool. It's not a magic bullet, but a practical aid for analyzing buying/selling pressure, trends, volume, and divergences, saving you time in the decision-making process. Built for flexibility, the indicator adapts to various trading styles (scalping, swing, or long-term) and offers customizable settings to suit your needs.
🟡 Multi-Timeframe Trends
➤ This section displays the trend direction (bullish, bearish, or neutral) across 15-minute, 1-hour, 4-hour, and Daily timeframes, providing multi-timeframe market context. Timeframes lower than the one currently selected will show "N/A."
➤It utilizes fast and slow Exponential Moving Averages (EMAs) for each timeframe:
15m: Fast EMA 42, Slow EMA 170
1h: Fast EMA 40, Slow EMA 100
4h: Fast EMA 36, Slow EMA 107
Daily: Fast EMA 20, Slow EMA 60
🟡 Smart Flow & RVOL
➤ This section displays "Buying Pressure" or "Selling Pressure" signals based on indicator confluence, alongside volume activity ("High Activity," "Normal Activity," or "Low Activity").
➤ Smart Flow combines Chaikin Money Flow (CMF) and Money Flow Index (MFI) to detect buying/selling pressure. CMF measures money flow based on price position within the high-low range, while MFI analyzes money flow considering typical price and volume. A signal is generated only when both indicators simultaneously increase/decrease beyond an adjustable threshold ("Buy/Sell Sensitivity") and volume exceeds a Simple Moving Average (SMA) scaled by the "Volume Multiplier."
➤ RVOL (Relative Volume) calculates relative volume separately for bullish and bearish candles, comparing recent volume (fast SMA) with a reference volume (slow SMA). Thresholds are adjusted based on the selected mode.
🟡 ADX & RSI
This section displays trend strength ("Strong," "Moderate," or "Weak"), its direction ("Bullish" or "Bearish"), and the RSI momentum status ("Overbought," "Oversold," "Buy/Sell Momentum," or "Neutral").
➤ ADX (Average Directional Index) measures trend strength (above 40 = "Strong," 20–40 = "Moderate," below 20 = "Weak"). Direction is determined by comparing +DI (upward movement) with -DI (downward movement). Additionally, an arrow indicates whether the trend's strength is decreasing or increasing.
➤RSI (Relative Strength Index) evaluates price momentum. Extreme levels (above 80/85 = "Overbought," below 15/20 = "Oversold") and intermediate zones (47–53 = "Neutral," above 53 = "Buy Momentum," below 47 = "Sell Momentum") are adjusted based on the selected mode.
🟡 When these signals are active for a potential trade setup, the table's background lights up green or red, respectively.
🟡 Volume Spikes
➤This feature highlights bars with significantly higher volume than the recent average, coloring them yellow on the chart to draw attention to intense market activity.
➤It uses the Z-Score method to detect volume anomalies. Current volume is compared to a 10-bar Simple Moving Average (SMA) and the standard deviation of volume over the same period. If the Z-Score exceeds a certain threshold, the bar is marked as a volume spike.
🟡 Divergences (Volume Divergence Detection)
➤ This feature marks divergences between price and technical indicators on the chart, using diamond-shaped labels (green for bullish divergences, red for bearish divergences) to signal potential trend reversals.
➤ It compares price deviations from a Simple Moving Average (SMA) with deviations of three indicators: Chaikin Money Flow (CMF), Money Flow Index (MFI), and On-Balance Volume (OBV). A bullish divergence occurs when price falls below its average, but CMF, MFI, and OBV rise above their averages, indicating hidden accumulation. A bearish divergence occurs when price rises above its average, but CMF, MFI, and OBV fall, suggesting distribution. The length of the moving averages is adjustable (default 13/10/5 bars for Scalping/Balanced/Swing), and detection thresholds are scaled by "Divergence Sensitivity" (default 1.0).
🟡 Adaptive Stop-Loss (ATR)
➤Draws dynamic stop-loss lines (red, dashed) on the chart for buy or sell signals, helping traders manage risk.Uses the Average True Range (ATR) to calculate stop-loss levels, set at low/high ± ATR × multiplier
🟡 Alerts for trend direction changes in the Info Panel:
➤ Triggers notifications when the trend shifts to Bullish (when +DI crosses above -DI) or Bearish (when +DI crosses below -DI), helping you stay informed about key market shifts.
How to use: Set alerts in Trading View for “Trend Changed to Bullish” or “Trend Changed to Bearish” with “Once Per Bar Close” for reliable signals.
🟡 Settings (Inputs)
➤ The indicator offers customizable settings to fit your trading style, but it's already optimized for Scalping (1m–15m), Balanced (16m–3h59m), and Swing (4h–Daily) modes, which automatically adjust based on the selected timeframe. The visible inputs allow you to adjust the following parameters:
Show Info Panel: Enables/disables the information panel (default: enabled).
Show Volume Spikes: Turns on/off coloring for volume spike bars (default: enabled).
Spike Sensitivity: Controls the Z-Score threshold for detecting volume spikes (default: 2.0; lower values increase signal frequency).
Show Divergence: Enables/disables the display of divergence labels (default: enabled).
Divergence Sensitivity: Adjusts the thresholds for divergence detection (default: 1.0; higher values reduce sensitivity).
Divergence Lookback Length: Sets the length of the moving averages used for divergences (default: 5, automatically adjusted to 13/10/5 for Scalping/Balanced/Swing).
RVOL Reference Period: Defines the reference period for relative volume (default: 20, automatically adjusted to 7/15/20).
RSI Length: Sets the RSI length (default: 14, automatically adjusted to 5/10/14).
Buy Sensitivity: Controls the increase threshold for Buying Pressure signals (default: 0.007; higher values reduce frequency).
Sell Sensitivity: Controls the decrease threshold for Selling Pressure signals (default: 0.007; higher values reduce frequency).
Volume Multiplier (B/S Pressure): Adjusts the volume threshold for Smart Flow signals (default: 0.6; higher values require greater volume).
🟡 This indicator is created to simplify market analysis, but I am not a professional in Pine Script or technical indicators. This indicator is not a standalone solution. For optimal results, it must be integrated into a well-defined trading strategy that includes risk management and other confirmations.
Multi TF Oscillators Screener [TradingFinder] RSI / ATR / Stoch🔵 Introduction
The oscillator screener is designed to simplify multi-timeframe analysis by allowing traders and analysts to monitor one or multiple symbols across their preferred timeframes—all at the same time. Users can track a single symbol through various timeframes simultaneously or follow multiple symbols in selected intervals. This flexibility makes the tool highly effective for analyzing diverse markets concurrently.
At the core of this screener lie two essential oscillators: RSI (Relative Strength Index) and the Stochastic Oscillator. The RSI measures the speed and magnitude of recent price movements and helps identify overbought or oversold conditions.
It's one of the most reliable indicators for spotting potential reversals. The Stochastic Oscillator, on the other hand, compares the current price to recent highs and lows to detect momentum strength and potential trend shifts. It’s especially effective in identifying divergences and short-term reversal signals.
In addition to these two primary indicators, the screener also displays helpful supplementary data such as the dominant candlestick type (Bullish, Bearish, or Doji), market volatility indicators like ATR and TR, and the four key OHLC prices (Open, High, Low, Close) for each symbol and timeframe. This combination of data gives users a comprehensive technical view and allows for quick, side-by-side comparison of symbols and timeframes.
🔵 How to Use
This tool is built for users who want to view the behavior of a single symbol across several timeframes simultaneously. Instead of jumping between charts, users can quickly grasp the state of a symbol like gold or Bitcoin across the 15-minute, 1-hour, and daily timeframes at a glance. This is particularly useful for traders who rely on multi-timeframe confirmation to strengthen their analysis and decision-making.
The tool also supports simultaneous monitoring of multiple symbols. Users can select and track various assets based on the timeframes that matter most to them. For example, if you’re looking for entry opportunities, the screener allows you to compare setups across several markets side by side—making it easier to choose the most favorable trade. Whether you’re a scalper focused on low timeframes or a swing trader using higher ones, the tool adapts to your workflow.
The screener utilizes the widely-used RSI indicator, which ranges from 0 to 100 and highlights market exhaustion levels. Readings above 70 typically indicate potential pullbacks, while values below 30 may suggest bullish reversals. Viewing RSI across timeframes can reveal meaningful divergences or alignments that improve signal quality.
Another key indicator in the screener is the Stochastic Oscillator, which analyzes the closing price relative to its recent high-low range. When the %K and %D lines converge and cross within the overbought or oversold zones, it often signals a momentum reversal. This oscillator is especially responsive in lower timeframes, making it ideal for spotting quick entries or exits.
Beyond these oscillators, the table includes other valuable data such as candlestick type (bullish, bearish, or doji), volatility measures like ATR and TR, and complete OHLC pricing. This layered approach helps users understand both market momentum and structure at a glance.
Ultimately, this screener allows analysts and traders to gain a full market overview with just one look—empowering faster, more informed, and lower-risk decision-making. It not only saves time but also enhances the precision and clarity of technical analysis.
🔵 Settings
🟣 Display Settings
Table Size : Lets you adjust the table’s visual size with options such as: auto, tiny, small, normal, large, huge.
Table Position : Sets the screen location of the table. Choose from 9 possible positions, combining vertical (top, middle, bottom) and horizontal (left, center, right) alignments.
🟣 Symbol Settings
Each of the 10 symbol slots comes with a full set of customizable parameters :
Enable Symbol : A checkbox to activate or hide each symbol from the table.
Symbol : Define or select the asset (e.g., XAUUSD, BTCUSD, EURUSD, etc.).
Timeframe : Set your desired timeframe for each symbol (e.g., 15, 60, 240, 1D).
RSI Length : Defines the period used in RSI calculation (default is 14).
Stochastic Length : Sets the period for the Stochastic Oscillator.
ATR Length : Sets the length used to calculate the Average True Range, a key volatility metric.
🔵 Conclusion
By combining powerful oscillators like RSI and Stochastic with full customization over symbols and timeframes, this tool provides a fast, flexible solution for technical analysts. Users can instantly monitor one or several assets across multiple timeframes without opening separate charts.
Individual configuration for each symbol, along with the inclusion of key metrics like candlestick type, ATR/TR, and OHLC prices, makes the tool suitable for a wide range of trading styles—from scalping to swing and position trading.
In summary, this screener enables traders to gain a clear, high-level view of various markets in seconds and make quicker, smarter, and lower-risk decisions. It saves time, streamlines analysis, and boosts overall efficiency and confidence in trading strategies.
[GetSparx] Lacuna Pro⚡ Lacuna Pro – Institutional Liquidity Framework
This indicator is a premium Smart Money Concepts (SMC) trading toolkit designed to help traders identify high-probability entry and exit zones by visualizing real-time market inefficiencies. It combines Fair Value Gaps (FVGs), Break of Structure (BOS), Change of Character (CHoCH), and Supply & Demand Zones into a unified, configurable framework.
Unlike many public indicators that simply "overlay concepts", this indicator implements strict internal validation to filter out noise and provide only institutional-grade levels — making it a valuable execution layer for SMC-based strategies.
🧠 What the Script Does – and Why the Combination Matters
This is more than just a combination of known SMC tools — it's a complete workflow assistant:
-FVGs highlight where liquidity is likely resting due to institutional imbalance.
-BOS & CHoCH define structural context: whether the market is trending or shifting.
-Supply & Demand Zones show where institutions are likely to react.
-Each component works together to create a layered confluence system:
-FVG inside a Demand Zone after a Bullish CHoCH → High-probability Long Setup
-Bearish BOS into a Supply Zone + fresh Bearish FVG → High-probability Short Setup
📘 Core Concepts Explained
Fair Value Gap (FVG)
FVGs occur when price moves with strong momentum and leaves a gap between candles — suggesting inefficiency. Bullish FVGs lie below price; bearish ones above. Price often returns to these levels before continuing.
An FVG is detected when a three-candle sequence reveals a price imbalance:
- Bullish : Candle 2’s low is higher than Candle 1’s high
- Bearish : Candle 2’s high is lower than Candle 1’s low
These setups indicate a sudden burst of institutional momentum, often causing price to revisit the gap for rebalancing.
Break of Structure (BOS)
A BOS signals trend continuation when price breaks the previous swing high or low in the direction of the current trend.
The script uses a 3-bar pivot system to detect local swing highs and lows — a swing high forms when the highest candle is flanked by two lower highs on each side (and vice versa for swing lows).
A BOS is confirmed when price closes beyond the most recent swing point in alignment with the current trend direction.
Change of Character (CHoCH)
A CHoCH signals a potential trend reversal by breaking a structure level in the opposite direction of the prevailing trend.
It is detected when price breaks the most recent opposing swing and simultaneously flips the internal trend state.
CHoCH events always take precedence over BOS to avoid conflicting signals.
The internal trend engine ensures that these structural shifts are valid and not caused by random volatility.
Supply & Demand Zones
These zones mark institutional interest and are formed using precise price action rules — not arbitrary support/resistance.
A valid zone begins when a small-bodied base candle (such as a star or doji) appears at a local swing point. This candle must be followed by a strong impulse candle — either a bullish engulfing (for demand) or bearish breakout (for supply).
- Demand Zone : From the base candle's low to the impulse candle's high
- Supply Zone : From the base candle's high to the impulse candle's low
These zones represent likely institutional entries or exits, often acting as magnets or rejection areas. Once price decisively breaks through a zone, it is automatically removed — keeping the chart clean and relevant.
Zone Detection Logic – When a Zone Is Drawn or Skipped
Below are the precise rules used to determine whether a Supply or Demand Zone is valid and shown on the chart
A Supply or Demand Zone is only drawn if all of the following conditions are met:
-A small-bodied base candle forms at a local high or low (body size below threshold)
-The base candle is followed by a strong impulse candle (engulfing or breakout)
-The impulse direction matches the expected context (e.g., bearish impulse from swing high = Supply)
-The candle wicks do not invalidate the structure (e.g., no long opposing wick that retraces the move)
-The zone meets the minimum size threshold based on % or ATR filter
If any of these criteria are not satisfied, the zone is skipped to avoid false or weak levels.
This ensures only clean, institutional-grade Supply & Demand Zones are shown on the chart.
(e.g. small-bodied star + bullish engulfing at swing low = Demand Zone, or bearish breakout at swing high = Supply Zone).
🔍 Core Functionality & Original Features
1. 📉 Fair Value Gaps (FVGs) – Dynamic, Validated, and Clean
Unlike scripts that draw every gap, this script applies strict quality control to ensure only meaningful FVGs appear:
Minimum Threshold Filtering
Filters out small or noisy gaps by requiring each FVG to exceed a % or ATR-based size threshold. Prevents micro-gap clutter on lower timeframes.
Momentum Candle Verification
Requires a strong middle candle (candle 2) between two extremes. Large opposing wicks invalidate the setup.
Partial Fill Adjustment
When price partially fills a gap, the FVG box automatically shrinks to show only the remaining imbalance. If fully filled, the box is removed.
Multi-Timeframe Overlays
View institutional gaps from 15m, 1H, 4H, or Daily overlaid onto any chart for top-down analysis and entry refinement.
2. 🧱 Structural Shifts – BOS & CHoCH
Structural logic is built around pivot detection with real-time trend state awareness:
Pivot Logic (Customizable Strength)
Local highs/lows are detected using pivot length (default: 3 bars left/right). Breaks are only confirmed if they align with the internal trend state.
BOS = Continuation
Breaks a swing in trend direction (e.g., HL → HH → BOS at previous HH)
CHoCH = Reversal
Breaks a structure against trend (e.g., HH → HL → break of HL = Bearish CHoCH)
Conflict Resolution
If both BOS and CHoCH could trigger, CHoCH takes priority. This avoids false positives and ensures a single, clear structure signal per swing.
Styling & Visibility
All structure lines and labels are customizable — colors, line style (solid/dashed), and which signals to display (BOS/CHoCH/both).
3. 🧠 Supply & Demand Zones – Smart Detection & Maintenance
These zones are generated using strict price action logic, not arbitrary support/resistance lines:
-Formation Conditions
-Small-bodied "base candle" at a local high/low
-Followed by an impulse candle (bullish/bearish engulfing or breakout)
-Zone Bounds
- Demand : From base candle low to impulse high
- Supply : From base candle high to impulse low
Automatic Cleanup
Once price decisively pierces a zone, it’s automatically removed from the chart. This keeps the display relevant and clutter-free.
Multi-Timeframe Zones
Toggle zones from your current timeframe or overlay from 1H, 4H, and Daily — ideal for confluence stacking.
Zone Compression Filtering
Optional compression % ensures overlapping zones are combined logically to reduce redundancy.
🧩 How It Works Together – Practical Usage Flow
This indicator is designed to follow a structured workflow used by institutional-style traders:
Trend Structure
Identify trend using BOS and CHoCH on your timeframe.
Liquidity Zones
Look for supply/demand zones aligning with the structural bias.
Execution Areas
Wait for an unfilled FVG in confluence with the above conditions.
📸 Screenshot Captions
Screenshot 1: CHoCH + Demand Zone + Bullish FVG
📌 Reversal Setup with Confluence
A Bullish CHoCH confirms a structural shift. Price enters a Demand Zone and reacts from an unfilled Bullish FVG, creating a high-probability long opportunity.
Screenshot 2: Bearish BOS + FVG Fill
📌 Trend Continuation Confirmation
Price breaks a swing low, triggering a Bearish BOS. A Bearish FVG forms and price returns to fill it before continuing lower — validating the trend and the gap.
Screenshot 3: Multi-Timeframe Overlay (FVGs from 1H and 4H)
📌 Top-Down Liquidity Mapping
Overlaid 1H and 4H FVGs provide institutional-level insight on lower timeframes. Combined with structure signals, this supports precise entry alignment across timeframes.
As price partially fills a bullish gap, the FVG box auto-adjusts to show only the remaining imbalance. Fully filled zones are automatically removed, keeping the chart clean.
Screenshot 4: Supply Zone Rejection
📌 Institutional Supply in Action
Price enters a Supply Zone formed from a base candle + bearish impulse. A sharp rejection confirms active sell-side interest at this level. Zone opgevuld box verdwijnt
Screenshot 5: Bullish BOS + Internal Trend Logic
📌 Trend Continuation with Structure Awareness
A Higher Low forms, followed by a Higher High, triggering a Bullish BOS. The internal trend engine confirms direction and filters false reversals.
Screenshot 6: Zone Compression Logic
📌 Smart Zone Consolidation
Closely overlapping supply zones are merged using compression logic to prevent clutter. Only the strongest institutional levels remain visible.
⚙ Full Customization Panel
You can configure:
-FVG display per timeframe + color scheme
-BOS/CHoCH styling, label text, and detection toggles
-Zone settings: visibility, compression %, length
-Auto-cleanup behavior for FVGs and zones
🔐 Why Invite-Only?
This indicator contains original logic not available in public indicators, including:
-Momentum-candle verified FVGs
-Real-time partial fill trimming
-Auto-removal of invalidated structure/zones
-Conflict-aware BOS/CHoCH logic
-Multi-timeframe overlays with internal state tracking
-Proprietary compression-based zone filtering
This script is part of a private paid offering. It is not based on reused or repackaged educational code. The logic and structure management are exclusive to this implementation.
⚠ Disclaimer
This tool is for educational and analytical use only. It does not provide financial advice or trading signals. Always use proper risk management and do your own due diligence.
1 Candle SMT Divergence (Nephew_Sam_)📊 1 Candle SMT Divergence Detector
3-Way Smart Money Theory (SMT) Divergence Scanner for Multi-Symbol Analysis
This indicator identifies 1-candle SMT divergences by comparing one primary symbol against up to 2 correlation symbols across multiple timeframes simultaneously. Perfect for detecting institutional smart money moves and market inefficiencies.
🎯 Key Features:
3-Way Comparison: Compare 1 "From" symbol vs 2 "To" symbols (configurable)
5 Symbol Pairs: Pre-configure up to 5 different symbol combinations
Multi-Timeframe: Scan 5 timeframes simultaneously (Chart, 1H, 4H, Daily, Weekly)
Smart Filtering: Only displays timeframes equal to or higher than your chart
Real-Time Detection: Compares current vs previous candle highs/lows
Visual Alerts: Clean table display with color-coded divergence status
Line Drawing: Optional trend lines connecting divergence points
Replay Compatible: Works with TradingView's replay mode
📈 How It Works:
Detects when one symbol makes a higher high while correlated symbols make lower highs (and vice versa for lows). This creates SMT divergence signals that often precede significant market moves.
MACD Full [Titans_Invest]MACD Full — A Smarter, More Flexible MACD.
Looking for a MACD with real customization power?
We present one of the most complete public MACD indicators available on TradingView.
It maintains the classic MACD structure but is enhanced with 20 fully customizable long entry conditions and 20 short entry conditions , giving you precise control over your strategy.
Plus, it’s fully automation-ready, making it ideal for quantitative systems and algorithmic trading.
Whether you're a discretionary trader or a bot developer, this tool is built to seamlessly adapt to your style.
⯁ WHAT IS THE MACD❓
The Moving Average Convergence Divergence (MACD) is a technical analysis indicator developed by Gerald Appel. It measures the relationship between two moving averages of a security’s price to identify changes in momentum, direction, and strength of a trend. The MACD is composed of three components: the MACD line, the signal line, and the histogram.
⯁ HOW TO USE THE MACD❓
The MACD is calculated by subtracting the 26-period Exponential Moving Average (EMA) from the 12-period EMA. A 9-period EMA of the MACD line, called the signal line, is then plotted on top of the MACD line. The MACD histogram represents the difference between the MACD line and the signal line.
Here are the primary signals generated by the MACD:
Bullish Crossover: When the MACD line crosses above the signal line, indicating a potential buy signal.
Bearish Crossover: When the MACD line crosses below the signal line, indicating a potential sell signal.
Divergence: When the price of the security diverges from the MACD, suggesting a potential reversal.
Overbought/Oversold Conditions: Indicated by the MACD line moving far away from the signal line, though this is less common than in oscillators like the RSI.
⯁ ENTRY CONDITIONS
The conditions below are fully flexible and allow for complete customization of the signal.
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🔹 CONDITIONS TO BUY 📈
______________________________________________________
• Signal Validity: The signal will remain valid for X bars .
• Signal Sequence: Configurable as AND or OR .
🔹 MACD > Signal Smoothing
🔹 MACD < Signal Smoothing
🔹 Histogram > 0
🔹 Histogram < 0
🔹 Histogram Positive
🔹 Histogram Negative
🔹 MACD > 0
🔹 MACD < 0
🔹 Signal > 0
🔹 Signal < 0
🔹 MACD > Histogram
🔹 MACD < Histogram
🔹 Signal > Histogram
🔹 Signal < Histogram
🔹 MACD (Crossover) Signal
🔹 MACD (Crossunder) Signal
🔹 MACD (Crossover) 0
🔹 MACD (Crossunder) 0
🔹 Signal (Crossover) 0
🔹 Signal (Crossunder) 0
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🔸 CONDITIONS TO SELL 📉
______________________________________________________
• Signal Validity: The signal will remain valid for X bars .
• Signal Sequence: Configurable as AND or OR .
🔸 MACD > Signal Smoothing
🔸 MACD < Signal Smoothing
🔸 Histogram > 0
🔸 Histogram < 0
🔸 Histogram Positive
🔸 Histogram Negative
🔸 MACD > 0
🔸 MACD < 0
🔸 Signal > 0
🔸 Signal < 0
🔸 MACD > Histogram
🔸 MACD < Histogram
🔸 Signal > Histogram
🔸 Signal < Histogram
🔸 MACD (Crossover) Signal
🔸 MACD (Crossunder) Signal
🔸 MACD (Crossover) 0
🔸 MACD (Crossunder) 0
🔸 Signal (Crossover) 0
🔸 Signal (Crossunder) 0
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🤖 AUTOMATION 🤖
• You can automate the BUY and SELL signals of this indicator.
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⯁ UNIQUE FEATURES
______________________________________________________
Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Condition Table: BUY/SELL
Condition Labels: BUY/SELL
Plot Labels in the Graph Above: BUY/SELL
Automate and Monitor Signals/Alerts: BUY/SELL
Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Table of Conditions: BUY/SELL
Conditions Label: BUY/SELL
Plot Labels in the graph above: BUY/SELL
Automate & Monitor Signals/Alerts: BUY/SELL
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📜 SCRIPT : MACD Full
🎴 Art by : @Titans_Invest & @DiFlip
👨💻 Dev by : @Titans_Invest & @DiFlip
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• Inspire Traders to manifest Magic in the Market.
o Vision 𐓏
• To elevate collective Energy 𐓷𐓏
Categorical Market Morphisms (CMM)Categorical Market Morphisms (CMM) - Where Abstract Algebra Transcends Reality
A Revolutionary Application of Category Theory and Homotopy Type Theory to Financial Markets
Bridging Pure Mathematics and Market Analysis Through Functorial Dynamics
Theoretical Foundation: The Mathematical Revolution
Traditional technical analysis operates on Euclidean geometry and classical statistics. The Categorical Market Morphisms (CMM) indicator represents a paradigm shift - the first application of Category Theory and Homotopy Type Theory to financial markets. This isn't merely another indicator; it's a mathematical framework that reveals the hidden algebraic structure underlying market dynamics.
Category Theory in Markets
Category theory, often called "the mathematics of mathematics," studies structures and the relationships between them. In market terms:
Objects = Market states (price levels, volume conditions, volatility regimes)
Morphisms = State transitions (price movements, volume changes, volatility shifts)
Functors = Structure-preserving mappings between timeframes
Natural Transformations = Coherent changes across multiple market dimensions
The Morphism Detection Engine
The core innovation lies in detecting morphisms - the categorical arrows representing market state transitions:
Morphism Strength = exp(-normalized_change × (3.0 / sensitivity))
Threshold = 0.3 - (sensitivity - 1.0) × 0.15
This exponential decay function captures how market transitions lose coherence over distance, while the dynamic threshold adapts to market sensitivity.
Functorial Analysis Framework
Markets must preserve structure across timeframes to maintain coherence. Our functorial analysis verifies this through composition laws:
Composition Error = |f(BC) × f(AB) - f(AC)| / |f(AC)|
Functorial Integrity = max(0, 1.0 - average_error)
When functorial integrity breaks down, market structure becomes unstable - a powerful early warning system.
Homotopy Type Theory: Path Equivalence in Markets
The Revolutionary Path Analysis
Homotopy Type Theory studies when different paths can be continuously deformed into each other. In markets, this reveals arbitrage opportunities and equivalent trading paths:
Path Distance = Σ(weight × |normalized_path1 - normalized_path2|)
Homotopy Score = (correlation + 1) / 2 × (1 - average_distance)
Equivalence Threshold = 1 / (threshold × √univalence_strength)
The Univalence Axiom in Trading
The univalence axiom states that equivalent structures can be treated as identical. In trading terms: when price-volume paths show homotopic equivalence with RSI paths, they represent the same underlying market structure - creating powerful confluence signals.
Universal Properties: The Four Pillars of Market Structure
Category theory's universal properties reveal fundamental market patterns:
Initial Objects (Market Bottoms)
Mathematical Definition = Unique morphisms exist FROM all other objects TO the initial object
Market Translation = All selling pressure naturally flows toward the bottom
Detection Algorithm:
Strength = local_low(0.3) + oversold(0.2) + volume_surge(0.2) + momentum_reversal(0.2) + morphism_flow(0.1)
Signal = strength > 0.4 AND morphism_exists
Terminal Objects (Market Tops)
Mathematical Definition = Unique morphisms exist FROM the terminal object TO all others
Market Translation = All buying pressure naturally flows away from the top
Product Objects (Market Equilibrium)
Mathematical Definition = Universal property combining multiple objects into balanced state
Market Translation = Price, volume, and volatility achieve multi-dimensional balance
Coproduct Objects (Market Divergence)
Mathematical Definition = Universal property representing branching possibilities
Market Translation = Market bifurcation points where multiple scenarios become possible
Consciousness Detection: Emergent Market Intelligence
The most groundbreaking feature detects market consciousness - when markets exhibit self-awareness through fractal correlations:
Consciousness Level = Σ(correlation_levels × weights) × fractal_dimension
Fractal Score = log(range_ratio) / log(memory_period)
Multi-Scale Awareness:
Micro = Short-term price-SMA correlations
Meso = Medium-term structural relationships
Macro = Long-term pattern coherence
Volume Sync = Price-volume consciousness
Volatility Awareness = ATR-change correlations
When consciousness_level > threshold , markets display emergent intelligence - self-organizing behavior that transcends simple mechanical responses.
Advanced Input System: Precision Configuration
Categorical Universe Parameters
Universe Level (Type_n) = Controls categorical complexity depth
Type 1 = Price only (pure price action)
Type 2 = Price + Volume (market participation)
Type 3 = + Volatility (risk dynamics)
Type 4 = + Momentum (directional force)
Type 5 = + RSI (momentum oscillation)
Sector Optimization:
Crypto = 4-5 (high complexity, volume crucial)
Stocks = 3-4 (moderate complexity, fundamental-driven)
Forex = 2-3 (low complexity, macro-driven)
Morphism Detection Threshold = Golden ratio optimized (φ = 0.618)
Lower values = More morphisms detected, higher sensitivity
Higher values = Only major transformations, noise reduction
Crypto = 0.382-0.618 (high volatility accommodation)
Stocks = 0.618-1.0 (balanced detection)
Forex = 1.0-1.618 (macro-focused)
Functoriality Tolerance = φ⁻² = 0.146 (mathematically optimal)
Controls = composition error tolerance
Trending markets = 0.1-0.2 (strict structure preservation)
Ranging markets = 0.2-0.5 (flexible adaptation)
Categorical Memory = Fibonacci sequence optimized
Scalping = 21-34 bars (short-term patterns)
Swing = 55-89 bars (intermediate cycles)
Position = 144-233 bars (long-term structure)
Homotopy Type Theory Parameters
Path Equivalence Threshold = Golden ratio φ = 1.618
Volatile markets = 2.0-2.618 (accommodate noise)
Normal conditions = 1.618 (balanced)
Stable markets = 0.786-1.382 (sensitive detection)
Deformation Complexity = Fibonacci-optimized path smoothing
3,5,8,13,21 = Each number provides different granularity
Higher values = smoother paths but slower computation
Univalence Axiom Strength = φ² = 2.618 (golden ratio squared)
Controls = how readily equivalent structures are identified
Higher values = find more equivalences
Visual System: Mathematical Elegance Meets Practical Clarity
The Morphism Energy Fields (Red/Green Boxes)
Purpose = Visualize categorical transformations in real-time
Algorithm:
Energy Range = ATR × flow_strength × 1.5
Transparency = max(10, base_transparency - 15)
Interpretation:
Green fields = Bullish morphism energy (buying transformations)
Red fields = Bearish morphism energy (selling transformations)
Size = Proportional to transformation strength
Intensity = Reflects morphism confidence
Consciousness Grid (Purple Pattern)
Purpose = Display market self-awareness emergence
Algorithm:
Grid_size = adaptive(lookback_period / 8)
Consciousness_range = ATR × consciousness_level × 1.2
Interpretation:
Density = Higher consciousness = denser grid
Extension = Cloud lookback controls historical depth
Intensity = Transparency reflects awareness level
Homotopy Paths (Blue Gradient Boxes)
Purpose = Show path equivalence opportunities
Algorithm:
Path_range = ATR × homotopy_score × 1.2
Gradient_layers = 3 (increasing transparency)
Interpretation:
Blue boxes = Equivalent path opportunities
Gradient effect = Confidence visualization
Multiple layers = Different probability levels
Functorial Lines (Green Horizontal)
Purpose = Multi-timeframe structure preservation levels
Innovation = Smart spacing prevents overcrowding
Min_separation = price × 0.001 (0.1% minimum)
Max_lines = 3 (clarity preservation)
Features:
Glow effect = Background + foreground lines
Adaptive labels = Only show meaningful separations
Color coding = Green (preserved), Orange (stressed), Red (broken)
Signal System: Bull/Bear Precision
🐂 Initial Objects = Bottom formations with strength percentages
🐻 Terminal Objects = Top formations with confidence levels
⚪ Product/Coproduct = Equilibrium circles with glow effects
Professional Dashboard System
Main Analytics Dashboard (Top-Right)
Market State = Real-time categorical classification
INITIAL OBJECT = Bottom formation active
TERMINAL OBJECT = Top formation active
PRODUCT STATE = Market equilibrium
COPRODUCT STATE = Divergence/bifurcation
ANALYZING = Processing market structure
Universe Type = Current complexity level and components
Morphisms:
ACTIVE (X%) = Transformations detected, percentage shows strength
DORMANT = No significant categorical changes
Functoriality:
PRESERVED (X%) = Structure maintained across timeframes
VIOLATED (X%) = Structure breakdown, instability warning
Homotopy:
DETECTED (X%) = Path equivalences found, arbitrage opportunities
NONE = No equivalent paths currently available
Consciousness:
ACTIVE (X%) = Market self-awareness emerging, major moves possible
EMERGING (X%) = Consciousness building
DORMANT = Mechanical trading only
Signal Monitor & Performance Metrics (Left Panel)
Active Signals Tracking:
INITIAL = Count and current strength of bottom signals
TERMINAL = Count and current strength of top signals
PRODUCT = Equilibrium state occurrences
COPRODUCT = Divergence event tracking
Advanced Performance Metrics:
CCI (Categorical Coherence Index):
CCI = functorial_integrity × (morphism_exists ? 1.0 : 0.5)
STRONG (>0.7) = High structural coherence
MODERATE (0.4-0.7) = Adequate coherence
WEAK (<0.4) = Structural instability
HPA (Homotopy Path Alignment):
HPA = max_homotopy_score × functorial_integrity
ALIGNED (>0.6) = Strong path equivalences
PARTIAL (0.3-0.6) = Some equivalences
WEAK (<0.3) = Limited path coherence
UPRR (Universal Property Recognition Rate):
UPRR = (active_objects / 4) × 100%
Percentage of universal properties currently active
TEPF (Transcendence Emergence Probability Factor):
TEPF = homotopy_score × consciousness_level × φ
Probability of consciousness emergence (golden ratio weighted)
MSI (Morphological Stability Index):
MSI = (universe_depth / 5) × functorial_integrity × consciousness_level
Overall system stability assessment
Overall Score = Composite rating (EXCELLENT/GOOD/POOR)
Theory Guide (Bottom-Right)
Educational reference panel explaining:
Objects & Morphisms = Core categorical concepts
Universal Properties = The four fundamental patterns
Dynamic Advice = Context-sensitive trading suggestions based on current market state
Trading Applications: From Theory to Practice
Trend Following with Categorical Structure
Monitor functorial integrity = only trade when structure preserved (>80%)
Wait for morphism energy fields = red/green boxes confirm direction
Use consciousness emergence = purple grids signal major move potential
Exit on functorial breakdown = structure loss indicates trend end
Mean Reversion via Universal Properties
Identify Initial/Terminal objects = 🐂/🐻 signals mark extremes
Confirm with Product states = equilibrium circles show balance points
Watch Coproduct divergence = bifurcation warnings
Scale out at Functorial levels = green lines provide targets
Arbitrage through Homotopy Detection
Blue gradient boxes = indicate path equivalence opportunities
HPA metric >0.6 = confirms strong equivalences
Multiple timeframe convergence = strengthens signal
Consciousness active = amplifies arbitrage potential
Risk Management via Categorical Metrics
Position sizing = Based on MSI (Morphological Stability Index)
Stop placement = Tighter when functorial integrity low
Leverage adjustment = Reduce when consciousness dormant
Portfolio allocation = Increase when CCI strong
Sector-Specific Optimization Strategies
Cryptocurrency Markets
Universe Level = 4-5 (full complexity needed)
Morphism Sensitivity = 0.382-0.618 (accommodate volatility)
Categorical Memory = 55-89 (rapid cycles)
Field Transparency = 1-5 (high visibility needed)
Focus Metrics = TEPF, consciousness emergence
Stock Indices
Universe Level = 3-4 (moderate complexity)
Morphism Sensitivity = 0.618-1.0 (balanced)
Categorical Memory = 89-144 (institutional cycles)
Field Transparency = 5-10 (moderate visibility)
Focus Metrics = CCI, functorial integrity
Forex Markets
Universe Level = 2-3 (macro-driven)
Morphism Sensitivity = 1.0-1.618 (noise reduction)
Categorical Memory = 144-233 (long cycles)
Field Transparency = 10-15 (subtle signals)
Focus Metrics = HPA, universal properties
Commodities
Universe Level = 3-4 (supply/demand dynamics) [/b
Morphism Sensitivity = 0.618-1.0 (seasonal adaptation)
Categorical Memory = 89-144 (seasonal cycles)
Field Transparency = 5-10 (clear visualization)
Focus Metrics = MSI, morphism strength
Development Journey: Mathematical Innovation
The Challenge
Traditional indicators operate on classical mathematics - moving averages, oscillators, and pattern recognition. While useful, they miss the deeper algebraic structure that governs market behavior. Category theory and homotopy type theory offered a solution, but had never been applied to financial markets.
The Breakthrough
The key insight came from recognizing that market states form a category where:
Price levels, volume conditions, and volatility regimes are objects
Market movements between these states are morphisms
The composition of movements must satisfy categorical laws
This realization led to the morphism detection engine and functorial analysis framework .
Implementation Challenges
Computational Complexity = Category theory calculations are intensive
Real-time Performance = Markets don't wait for mathematical perfection
Visual Clarity = How to display abstract mathematics clearly
Signal Quality = Balancing mathematical purity with practical utility
User Accessibility = Making PhD-level math tradeable
The Solution
After months of optimization, we achieved:
Efficient algorithms = using pre-calculated values and smart caching
Real-time performance = through optimized Pine Script implementation
Elegant visualization = that makes complex theory instantly comprehensible
High-quality signals = with built-in noise reduction and cooldown systems
Professional interface = that guides users through complexity
Advanced Features: Beyond Traditional Analysis
Adaptive Transparency System
Two independent transparency controls:
Field Transparency = Controls morphism fields, consciousness grids, homotopy paths
Signal & Line Transparency = Controls signals and functorial lines independently
This allows perfect visual balance for any market condition or user preference.
Smart Functorial Line Management
Prevents visual clutter through:
Minimum separation logic = Only shows meaningfully separated levels
Maximum line limit = Caps at 3 lines for clarity
Dynamic spacing = Adapts to market volatility
Intelligent labeling = Clear identification without overcrowding
Consciousness Field Innovation
Adaptive grid sizing = Adjusts to lookback period
Gradient transparency = Fades with historical distance
Volume amplification = Responds to market participation
Fractal dimension integration = Shows complexity evolution
Signal Cooldown System
Prevents overtrading through:
20-bar default cooldown = Configurable 5-100 bars
Signal-specific tracking = Independent cooldowns for each signal type
Counter displays = Shows historical signal frequency
Performance metrics = Track signal quality over time
Performance Metrics: Quantifying Excellence
Signal Quality Assessment
Initial Object Accuracy = >78% in trending markets
Terminal Object Precision = >74% in overbought/oversold conditions
Product State Recognition = >82% in ranging markets
Consciousness Prediction = >71% for major moves
Computational Efficiency
Real-time processing = <50ms calculation time
Memory optimization = Efficient array management
Visual performance = Smooth rendering at all timeframes
Scalability = Handles multiple universes simultaneously
User Experience Metrics
Setup time = <5 minutes to productive use
Learning curve = Accessible to intermediate+ traders
Visual clarity = No information overload
Configuration flexibility = 25+ customizable parameters
Risk Disclosure and Best Practices
Important Disclaimers
The Categorical Market Morphisms indicator applies advanced mathematical concepts to market analysis but does not guarantee profitable trades. Markets remain inherently unpredictable despite underlying mathematical structure.
Recommended Usage
Never trade signals in isolation = always use confluence with other analysis
Respect risk management = categorical analysis doesn't eliminate risk
Understand the mathematics = study the theoretical foundation
Start with paper trading = master the concepts before risking capital
Adapt to market regimes = different markets need different parameters
Position Sizing Guidelines
High consciousness periods = Reduce position size (higher volatility)
Strong functorial integrity = Standard position sizing
Morphism dormancy = Consider reduced trading activity
Universal property convergence = Opportunities for larger positions
Educational Resources: Master the Mathematics
Recommended Reading
"Category Theory for the Sciences" = by David Spivak
"Homotopy Type Theory" = by The Univalent Foundations Program
"Fractal Market Analysis" = by Edgar Peters
"The Misbehavior of Markets" = by Benoit Mandelbrot
Key Concepts to Master
Functors and Natural Transformations
Universal Properties and Limits
Homotopy Equivalence and Path Spaces
Type Theory and Univalence
Fractal Geometry in Markets
The Categorical Market Morphisms indicator represents more than a new technical tool - it's a paradigm shift toward mathematical rigor in market analysis. By applying category theory and homotopy type theory to financial markets, we've unlocked patterns invisible to traditional analysis.
This isn't just about better signals or prettier charts. It's about understanding markets at their deepest mathematical level - seeing the categorical structure that underlies all price movement, recognizing when markets achieve consciousness, and trading with the precision that only pure mathematics can provide.
Why CMM Dominates
Mathematical Foundation = Built on proven mathematical frameworks
Original Innovation = First application of category theory to markets
Professional Quality = Institution-grade metrics and analysis
Visual Excellence = Clear, elegant, actionable interface
Educational Value = Teaches advanced mathematical concepts
Practical Results = High-quality signals with risk management
Continuous Evolution = Regular updates and enhancements
The DAFE Trading Systems Difference
At DAFE Trading Systems, we don't just create indicators - we advance the science of market analysis. Our team combines:
PhD-level mathematical expertise
Real-world trading experience
Cutting-edge programming skills
Artistic visual design
Educational commitment
The result? Trading tools that don't just show you what happened - they reveal why it happened and predict what comes next through the lens of pure mathematics.
"In mathematics you don't understand things. You just get used to them." - John von Neumann
"The market is not just a random walk - it's a categorical structure waiting to be discovered." - DAFE Trading Systems
Trade with Mathematical Precision. Trade with Categorical Market Morphisms.
Created with passion for mathematical excellence, and empowering traders through mathematical innovation.
— Dskyz, Trade with insight. Trade with anticipation.
Risk-Adjusted Momentum Oscillator# Risk-Adjusted Momentum Oscillator (RAMO): Momentum Analysis with Integrated Risk Assessment
## 1. Introduction
Momentum indicators have been fundamental tools in technical analysis since the pioneering work of Wilder (1978) and continue to play crucial roles in systematic trading strategies (Jegadeesh & Titman, 1993). However, traditional momentum oscillators suffer from a critical limitation: they fail to account for the risk context in which momentum signals occur. This oversight can lead to significant drawdowns during periods of market stress, as documented extensively in the behavioral finance literature (Kahneman & Tversky, 1979; Shefrin & Statman, 1985).
The Risk-Adjusted Momentum Oscillator addresses this gap by incorporating real-time drawdown metrics into momentum calculations, creating a self-regulating system that automatically adjusts signal sensitivity based on current risk conditions. This approach aligns with modern portfolio theory's emphasis on risk-adjusted returns (Markowitz, 1952) and reflects the sophisticated risk management practices employed by institutional investors (Ang, 2014).
## 2. Theoretical Foundation
### 2.1 Momentum Theory and Market Anomalies
The momentum effect, first systematically documented by Jegadeesh & Titman (1993), represents one of the most robust anomalies in financial markets. Subsequent research has confirmed momentum's persistence across various asset classes, time horizons, and geographic markets (Fama & French, 1996; Asness, Moskowitz & Pedersen, 2013). However, momentum strategies are characterized by significant time-varying risk, with particularly severe drawdowns during market reversals (Barroso & Santa-Clara, 2015).
### 2.2 Drawdown Analysis and Risk Management
Maximum drawdown, defined as the peak-to-trough decline in portfolio value, serves as a critical risk metric in professional portfolio management (Calmar, 1991). Research by Chekhlov, Uryasev & Zabarankin (2005) demonstrates that drawdown-based risk measures provide superior downside protection compared to traditional volatility metrics. The integration of drawdown analysis into momentum calculations represents a natural evolution toward more sophisticated risk-aware indicators.
### 2.3 Adaptive Smoothing and Market Regimes
The concept of adaptive smoothing in technical analysis draws from the broader literature on regime-switching models in finance (Hamilton, 1989). Perry Kaufman's Adaptive Moving Average (1995) pioneered the application of efficiency ratios to adjust indicator responsiveness based on market conditions. RAMO extends this concept by incorporating volatility-based adaptive smoothing, allowing the indicator to respond more quickly during high-volatility periods while maintaining stability during quiet markets.
## 3. Methodology
### 3.1 Core Algorithm Design
The RAMO algorithm consists of several interconnected components:
#### 3.1.1 Risk-Adjusted Momentum Calculation
The fundamental innovation of RAMO lies in its risk adjustment mechanism:
Risk_Factor = 1 - (Current_Drawdown / Maximum_Drawdown × Scaling_Factor)
Risk_Adjusted_Momentum = Raw_Momentum × max(Risk_Factor, 0.05)
This formulation ensures that momentum signals are dampened during periods of high drawdown relative to historical maximums, implementing an automatic risk management overlay as advocated by modern portfolio theory (Markowitz, 1952).
#### 3.1.2 Multi-Algorithm Momentum Framework
RAMO supports three distinct momentum calculation methods:
1. Rate of Change: Traditional percentage-based momentum (Pring, 2002)
2. Price Momentum: Absolute price differences
3. Log Returns: Logarithmic returns preferred for volatile assets (Campbell, Lo & MacKinlay, 1997)
This multi-algorithm approach accommodates different asset characteristics and volatility profiles, addressing the heterogeneity documented in cross-sectional momentum studies (Asness et al., 2013).
### 3.2 Leading Indicator Components
#### 3.2.1 Momentum Acceleration Analysis
The momentum acceleration component calculates the second derivative of momentum, providing early signals of trend changes:
Momentum_Acceleration = EMA(Momentum_t - Momentum_{t-n}, n)
This approach draws from the physics concept of acceleration and has been applied successfully in financial time series analysis (Treadway, 1969).
#### 3.2.2 Linear Regression Prediction
RAMO incorporates linear regression-based prediction to project momentum values forward:
Predicted_Momentum = LinReg_Value + (LinReg_Slope × Forward_Offset)
This predictive component aligns with the literature on technical analysis forecasting (Lo, Mamaysky & Wang, 2000) and provides leading signals for trend changes.
#### 3.2.3 Volume-Based Exhaustion Detection
The exhaustion detection algorithm identifies potential reversal points by analyzing the relationship between momentum extremes and volume patterns:
Exhaustion = |Momentum| > Threshold AND Volume < SMA(Volume, 20)
This approach reflects the established principle that sustainable price movements require volume confirmation (Granville, 1963; Arms, 1989).
### 3.3 Statistical Normalization and Robustness
RAMO employs Z-score normalization with outlier protection to ensure statistical robustness:
Z_Score = (Value - Mean) / Standard_Deviation
Normalized_Value = max(-3.5, min(3.5, Z_Score))
This normalization approach follows best practices in quantitative finance for handling extreme observations (Taleb, 2007) and ensures consistent signal interpretation across different market conditions.
### 3.4 Adaptive Threshold Calculation
Dynamic thresholds are calculated using Bollinger Band methodology (Bollinger, 1992):
Upper_Threshold = Mean + (Multiplier × Standard_Deviation)
Lower_Threshold = Mean - (Multiplier × Standard_Deviation)
This adaptive approach ensures that signal thresholds adjust to changing market volatility, addressing the critique of fixed thresholds in technical analysis (Taylor & Allen, 1992).
## 4. Implementation Details
### 4.1 Adaptive Smoothing Algorithm
The adaptive smoothing mechanism adjusts the exponential moving average alpha parameter based on market volatility:
Volatility_Percentile = Percentrank(Volatility, 100)
Adaptive_Alpha = Min_Alpha + ((Max_Alpha - Min_Alpha) × Volatility_Percentile / 100)
This approach ensures faster response during volatile periods while maintaining smoothness during stable conditions, implementing the adaptive efficiency concept pioneered by Kaufman (1995).
### 4.2 Risk Environment Classification
RAMO classifies market conditions into three risk environments:
- Low Risk: Current_DD < 30% × Max_DD
- Medium Risk: 30% × Max_DD ≤ Current_DD < 70% × Max_DD
- High Risk: Current_DD ≥ 70% × Max_DD
This classification system enables conditional signal generation, with long signals filtered during high-risk periods—a approach consistent with institutional risk management practices (Ang, 2014).
## 5. Signal Generation and Interpretation
### 5.1 Entry Signal Logic
RAMO generates enhanced entry signals through multiple confirmation layers:
1. Primary Signal: Crossover between indicator and signal line
2. Risk Filter: Confirmation of favorable risk environment for long positions
3. Leading Component: Early warning signals via acceleration analysis
4. Exhaustion Filter: Volume-based reversal detection
This multi-layered approach addresses the false signal problem common in traditional technical indicators (Brock, Lakonishok & LeBaron, 1992).
### 5.2 Divergence Analysis
RAMO incorporates both traditional and leading divergence detection:
- Traditional Divergence: Price and indicator divergence over 3-5 periods
- Slope Divergence: Momentum slope versus price direction
- Acceleration Divergence: Changes in momentum acceleration
This comprehensive divergence analysis framework draws from Elliott Wave theory (Prechter & Frost, 1978) and momentum divergence literature (Murphy, 1999).
## 6. Empirical Advantages and Applications
### 6.1 Risk-Adjusted Performance
The risk adjustment mechanism addresses the fundamental criticism of momentum strategies: their tendency to experience severe drawdowns during market reversals (Daniel & Moskowitz, 2016). By automatically reducing position sizing during high-drawdown periods, RAMO implements a form of dynamic hedging consistent with portfolio insurance concepts (Leland, 1980).
### 6.2 Regime Awareness
RAMO's adaptive components enable regime-aware signal generation, addressing the regime-switching behavior documented in financial markets (Hamilton, 1989; Guidolin, 2011). The indicator automatically adjusts its parameters based on market volatility and risk conditions, providing more reliable signals across different market environments.
### 6.3 Institutional Applications
The sophisticated risk management overlay makes RAMO particularly suitable for institutional applications where drawdown control is paramount. The indicator's design philosophy aligns with the risk budgeting approaches used by hedge funds and institutional investors (Roncalli, 2013).
## 7. Limitations and Future Research
### 7.1 Parameter Sensitivity
Like all technical indicators, RAMO's performance depends on parameter selection. While default parameters are optimized for broad market applications, asset-specific calibration may enhance performance. Future research should examine optimal parameter selection across different asset classes and market conditions.
### 7.2 Market Microstructure Considerations
RAMO's effectiveness may vary across different market microstructure environments. High-frequency trading and algorithmic market making have fundamentally altered market dynamics (Aldridge, 2013), potentially affecting momentum indicator performance.
### 7.3 Transaction Cost Integration
Future enhancements could incorporate transaction cost analysis to provide net-return-based signals, addressing the implementation shortfall documented in practical momentum strategy applications (Korajczyk & Sadka, 2004).
## References
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Ang, A. (2014). *Asset Management: A Systematic Approach to Factor Investing*. New York: Oxford University Press.
Arms, R. W. (1989). *The Arms Index (TRIN): An Introduction to the Volume Analysis of Stock and Bond Markets*. Homewood, IL: Dow Jones-Irwin.
Asness, C. S., Moskowitz, T. J., & Pedersen, L. H. (2013). Value and momentum everywhere. *Journal of Finance*, 68(3), 929-985.
Barroso, P., & Santa-Clara, P. (2015). Momentum has its moments. *Journal of Financial Economics*, 116(1), 111-120.
Bollinger, J. (1992). *Bollinger on Bollinger Bands*. New York: McGraw-Hill.
Brock, W., Lakonishok, J., & LeBaron, B. (1992). Simple technical trading rules and the stochastic properties of stock returns. *Journal of Finance*, 47(5), 1731-1764.
Calmar, T. (1991). The Calmar ratio: A smoother tool. *Futures*, 20(1), 40.
Campbell, J. Y., Lo, A. W., & MacKinlay, A. C. (1997). *The Econometrics of Financial Markets*. Princeton, NJ: Princeton University Press.
Chekhlov, A., Uryasev, S., & Zabarankin, M. (2005). Drawdown measure in portfolio optimization. *International Journal of Theoretical and Applied Finance*, 8(1), 13-58.
Daniel, K., & Moskowitz, T. J. (2016). Momentum crashes. *Journal of Financial Economics*, 122(2), 221-247.
Fama, E. F., & French, K. R. (1996). Multifactor explanations of asset pricing anomalies. *Journal of Finance*, 51(1), 55-84.
Granville, J. E. (1963). *Granville's New Key to Stock Market Profits*. Englewood Cliffs, NJ: Prentice-Hall.
Guidolin, M. (2011). Markov switching models in empirical finance. In D. N. Drukker (Ed.), *Missing Data Methods: Time-Series Methods and Applications* (pp. 1-86). Bingley: Emerald Group Publishing.
Hamilton, J. D. (1989). A new approach to the economic analysis of nonstationary time series and the business cycle. *Econometrica*, 57(2), 357-384.
Jegadeesh, N., & Titman, S. (1993). Returns to buying winners and selling losers: Implications for stock market efficiency. *Journal of Finance*, 48(1), 65-91.
Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. *Econometrica*, 47(2), 263-291.
Kaufman, P. J. (1995). *Smarter Trading: Improving Performance in Changing Markets*. New York: McGraw-Hill.
Korajczyk, R. A., & Sadka, R. (2004). Are momentum profits robust to trading costs? *Journal of Finance*, 59(3), 1039-1082.
Leland, H. E. (1980). Who should buy portfolio insurance? *Journal of Finance*, 35(2), 581-594.
Lo, A. W., Mamaysky, H., & Wang, J. (2000). Foundations of technical analysis: Computational algorithms, statistical inference, and empirical implementation. *Journal of Finance*, 55(4), 1705-1765.
Markowitz, H. (1952). Portfolio selection. *Journal of Finance*, 7(1), 77-91.
Murphy, J. J. (1999). *Technical Analysis of the Financial Markets: A Comprehensive Guide to Trading Methods and Applications*. New York: New York Institute of Finance.
Prechter, R. R., & Frost, A. J. (1978). *Elliott Wave Principle: Key to Market Behavior*. Gainesville, GA: New Classics Library.
Pring, M. J. (2002). *Technical Analysis Explained: The Successful Investor's Guide to Spotting Investment Trends and Turning Points*. 4th ed. New York: McGraw-Hill.
Roncalli, T. (2013). *Introduction to Risk Parity and Budgeting*. Boca Raton, FL: CRC Press.
Shefrin, H., & Statman, M. (1985). The disposition to sell winners too early and ride losers too long: Theory and evidence. *Journal of Finance*, 40(3), 777-790.
Taleb, N. N. (2007). *The Black Swan: The Impact of the Highly Improbable*. New York: Random House.
Taylor, M. P., & Allen, H. (1992). The use of technical analysis in the foreign exchange market. *Journal of International Money and Finance*, 11(3), 304-314.
Treadway, A. B. (1969). On rational entrepreneurial behavior and the demand for investment. *Review of Economic Studies*, 36(2), 227-239.
Wilder, J. W. (1978). *New Concepts in Technical Trading Systems*. Greensboro, NC: Trend Research.
SMT Divergence [Dova Lazarus]Title: SMT
Description:
The SMT (Smart Money Technique) indicator is designed to help traders identify potential divergences between correlated assets, a key concept used in smart money trading strategies. It compares price action across two or more instruments to reveal hidden strength or weakness that may not be visible on a single chart.
Key Features:
Custom asset selection: Compare your main chart with any other TradingView symbol (e.g., BTC/USD vs. ETH/USD).
Real-time SMT divergence detection: Highlights potential bullish or bearish divergences when one asset makes a higher high/lower low while the other does not.
Visual markers: Plots intuitive visual cues directly on the chart to signal divergence.
Configurable timeframes: Use on any timeframe for both intraday and swing trading setups.
How to Use:
Select your base symbol (e.g., BTCUSD) on the chart.
In the indicator settings, choose a comparison symbol (e.g., ETHUSD).
Look for divergence signals:
Bearish SMT Divergence: Base symbol makes a higher high, comparison symbol fails to make a higher high → possible sell signal.
Bullish SMT Divergence: Base symbol makes a lower low, comparison symbol fails to make a lower low → possible buy signal.
This tool is ideal for traders following ICT (Inner Circle Trader) concepts or anyone interested in identifying smart money manipulation and market inefficiencies.
Regression Channel (Interactive)Weighted Interactive Regression Channel (WIRC)
Overview
The Weighted Interactive Regression Channel improves on traditional regression channels by emphasizing key price points through intelligent weighting. Instead of treating all candles equally, WIRC adapts to market dynamics for better trend detection and channel accuracy.
Key Differences from Standard Channels
Weighted vs. Equal: Prioritizes significant events over uniform weighting
Dynamic vs. Static: Adapts in real time to market changes
Accurate vs. Basic: Reduces noise, enhances signal clarity
Customizable vs. Fixed: Full control over weights and visuals
Weighting Methods
Direction Change – Highlights reversal points via local peaks/troughs
Volume-Based – Emphasizes high-volume candles, ideal for breakouts
Price Range – Weights wide-range candles to capture volatility
Time Decay – Prioritizes recent data for current market relevance
Interactive Features
Data Range: Set channel start/end over 1–500 bars
Visuals: Line styles, color coding, fill options, reference lines
Stats: Slope, R², standard deviation, point count, weight method
Technical Implementation
Weighted Regression Formula: Uses weights for slope, intercept, and deviation
Channel Lines: Center = weighted regression; bounds = ± deviation × multiplier
Usage Scenarios
Trend Analysis: Use Direction Change + longer range
Breakouts: Use Volume weighting + fill + boundary watching
Volatility: Apply Price Range weighting + monitor standard deviation
Current Market: Use Time Decay + shorter ranges + stat display
Parameter Tips
Channel Width:
Narrow (1.0–1.5): Responsive
Standard (1.5–2.0): Balanced
Wide (2.0–3.0+): Conservative
Weighting Intensity:
Conservative (1.5–2.0)
Moderate (2.0–3.0)
Aggressive (3.0+)
Advanced Use
Multi-Timeframe: Use different weightings per timeframe
Market Structure: Detect swings, institutional zones
Risk Management: Dynamic S/R levels, volatility-driven sizing
Best Practices
Start with Direction Change
Test different ranges
Monitor stats
Combine with other indicators
Adjust to market context
Recalibrate regularly
Conclusion
WIRC delivers a smarter, more adaptive view of price action than standard regression tools. With real-time customization and multiple weighting options, it’s ideal for traders seeking precision across strategies—trend tracking, breakout confirmation, or volatility insight.
Enhanced Zones with Volume StrengthEnhanced Zones with Volume Strength
Your reliable visual guide to market zones — now with Multi-Timeframe (MTF) power!
What you get:
Clear visual zones on your chart — color-coded boxes that highlight important price areas.
Blue Boxes for neutral zones — easy to spot areas of indecision or balance.
Gray Boxes to show normal volume conditions, giving you context without clutter.
Green Boxes highlighting bullish zones where strength is showing.
Red Boxes marking bearish zones where weakness might be in play.
Multi-Timeframe Support:
Seamlessly visualize these zones from higher timeframes directly on your current chart for a bigger-picture view, helping you make smarter trading decisions.
How to use it:
Adjust the box width (in bars) to fit your trading style and timeframe.
Customize colors and opacity to suit your chart theme.
Toggle neutral blue and gray volume boxes on/off to focus on what matters most to you.
Set the maximum number of boxes to keep your chart clean and performant.
Why you’ll love it:
This indicator cuts through the noise by visually marking zones where volume and price action matter the most — without overwhelming your chart. The MTF feature means you’re always aligned with higher timeframe trends without switching views.
Pro tip:
Use these boxes as dynamic support/resistance areas or to confirm trade setups alongside your favorite indicators.
No complicated formulas here, just crisp, actionable visuals designed for clarity and confidence.
MarketMastery Suite by DGTAll-in-One Trading Framework for Price Action, Smart Money, and Market Structure
Unlock a complete, institutional-grade toolkit built for modern traders. The MarketMastery Suite blends advanced price action logic, multi-timeframe structure detection, capital flow analytics, and liquidation-based risk tools — empowering you to decode market behavior with confidence.
Whether you're identifying smart money zones, anticipating structural shifts, or managing position risk, MarketMastery Suite delivers actionable and adaptive insights.
KEY FEATURES
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⯌ Dynamic Support & Resistance Zones
Automatically detects major Support and Resistance zones based on adaptive logic derived from ICT-style OBs and BBs. Rather than using fixed lookbacks, the script applies swing-based detection to reveal significant levels across Local, Regional, Global, and Macro structures — pinpointing areas of likely institutional interest.
⯌ Trend Stop & Range Detection
Tracks market bias with a smart 3-tier trailing stop that filters noise and identifies potential breakouts, traps, or directional flips — even in ranging conditions.
⯌ Fractal Market Structure & Shift Detection
Detects real-time Break of Structure (BoS) and Change of Character (CHoCH) events across fractal structure levels — Local to Macro — helping confirm or anticipate market shifts.
⯌ Volume & Capital Flow Analysis
Highlights volume spikes and overlays Cumulative Volume Delta (CVD) and Open Interest (OI) to uncover buyer/seller intent and momentum pressure shifts.
⯌ Trend Snapshot Dashboard
A clean, mobile-friendly dashboard that shows live trend strength, directional flow (Price, OI, CVD), and key capital activity, anchored to the latest swing evaluation window.
⯌ Liquidation Risk Zones
Visualizes liquidation and margin thresholds based on leverage, entry price, and maintenance margin — essential for futures risk planning.
ALERT MESSAGES
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Support & Resistance Events
"Rejection {count} at Support · Support ≈ {value}"
"Support Retest {count} After Break · Support ≈ {value}"
"Rejection {count} at Resistance · Resistance ≈ {value}"
"Resistance Retest {count} After Break · Resistance ≈ {value}"
Support & Resistance Transitions
"Support Broken · {value} → Becomes Resistance"
"Resistance Broken · {value} → Becomes Support"
Market Structure Alerts
"{fractal depth} {Bullish|Bearish} Break of Structure detected."
"{fractal depth} {Bullish|Bearish} Change of Character detected."
Bias Transitions
"{Bullish|Bearish} Bias — Trailing stop flipped {upward|downward} {volume activity}"
"Potential {Bullish|Bearish} Flip — Early signs of {upward|downward} pressure {volume activity}"
"Ranging or Transitioning — Market lacks a clear trend {volume activity}"
Volume Spike
"Extreme volume spike detected!"
DISCLAIMER
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This script is intended for informational and educational purposes only. It does not constitute financial, investment, or trading advice. All trading decisions made based on its output are solely the responsibility of the user.
Not-So-Average True Range (nsATR)Not-So-Average True Range (nsATR)
*By Sherlock_MacGyver*
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Long Story Short
The nsATR is a complete overhaul of traditional ATR analysis. It was designed to solve the fundamental issues with standard ATR, such as lag, lack of contextual awareness, and equal treatment of all volatility events.
Key innovations include:
* A smarter ATR that reacts dynamically when price movement exceeds normal expectations.
* Envelope zones that distinguish between moderate and extreme volatility conditions.
* A long-term ATR baseline that adds historical context to current readings.
* A compression detection system that flags when the market is coiled and ready to break out.
This indicator is designed for traders who want to see volatility the way it actually behaves — contextually, asymmetrically, and with predictive power.
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What Is This Thing?
Standard ATR (Average True Range) has limitations:
* It smooths too slowly (using Wilder's RMA), which delays detection of meaningful moves.
* It lacks context — no way to know if current volatility is high or low relative to history.
* It treats all volatility equally, regardless of scale or significance.
nsATR** was built from scratch to overcome these weaknesses by applying:
* Amplification of large True Range spikes.
* Visual envelope zones for detecting volatility regimes.
* A long-term context line to anchor current readings.
* Multi-factor compression analysis to anticipate breakouts.
---
Core Features
1. Breach Detection with Amplification
When True Range exceeds a user-defined threshold (e.g., ATR × 1.2), it is amplified using a power function to reflect nonlinear volatility. This amplified value is then smoothed and cascades into future ATR values, affecting the indicator beyond a single bar.
2. Direction Tagging
Volatility spikes are tagged as upward or downward based on basic price momentum (close vs previous close). This provides visual context for how volatility is behaving in real-time.
3. Envelope Zones
Two adaptive envelopes highlight the current volatility regime:
* Stage 1: Moderate volatility (default: ATR × 1.5)
* Stage 2: Extreme volatility (default: ATR × 2.0)
Breaching these zones signals meaningful expansion in volatility.
4. Long-Term Context Baseline
A 200-period simple moving average of the classic ATR establishes whether current readings are above or below long-term volatility expectations.
5. Multi-Signal Compression Detection
Flags potential breakout conditions when:
* ATR is below its long-term baseline
* Price Bollinger Bands are compressed
* RSI Bollinger Bands are also compressed
All three signals must align to plot a "Volatility Confluence Dot" — an early warning of potential expansion.
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Chart Outputs
In the Indicator Pane:
* Breach Amplified ATR (Orange line)
* Classic ATR baseline (White line)
* Long-Term context baseline (Cyan line)
* Stage 1 and Stage 2 Envelopes (Purple and Yellow lines)
On the Price Chart:
* Triangles for breach direction (green/red)
* Diamonds for compression zones
* Optional background coloring for visual clarity
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Alerts
Built-in alert conditions:
1. ATR breach detected
2. Stage 1 envelope breached
3. Stage 2 envelope breached
4. Compression zone detected
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Customization
All components are modular. Traders can adjust:
* Display toggles for each visual layer
* Colors and line widths
* Breach threshold and amplification power
* Envelope sensitivity
* Compression sensitivity and lookback windows
Some options are disabled by default to reduce clutter but can be turned on for more aggressive signal detection.
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Real-Time Behavior (Non-Repainting Clarification)
The indicator updates in real time on the current bar as new data comes in. This is expected behavior for live trading tools. Once a bar closes, values do not change. In other words, the indicator *does not repaint history* — but the current bar can update dynamically until it closes.
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Use Cases
* Day traders: Use compression zones to anticipate volatility surges.
* Swing traders: Use envelope breaches for regime awareness.
* System developers: Replace standard ATR in your logic for better responsiveness.
* Risk managers: Use directional volatility signals to better model exposure.
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About the Developer
Sherlock_MacGyver develops original trading systems that question default assumptions and solve real trader problems.
Candle Volume Profile Marker# 📊 Candle Volume Profile Marker (CVPM)
**Transform your chart analysis with precision volume profile levels on every candle!**
The Candle Volume Profile Marker displays key volume profile levels (POC, VAH, VAL) for individual candles, giving you granular insights into price acceptance and rejection zones at the micro level.
## 🎯 **Key Features**
### **Core Levels**
- **POC (Point of Control)** - The price level with highest volume concentration
- **VAH (Value Area High)** - Upper boundary of the value area
- **VAL (Value Area Low)** - Lower boundary of the value area
- **Customizable Value Area** - Adjust percentage from 50% to 90%
### **Flexible Display Options**
- **Current Candle Only** or **Historical Lookback** (1-50 candles)
- **Multiple Visual Styles** - Lines, dots, crosses, triangles, squares, diamonds
- **Smart Line Extensions** - Right only, both sides, or left only
- **4 Line Length Modes** - Normal, Short, Ultra Short, Micro (for ultra-clean charts)
- **Full Color Customization** - Colors, opacity, line width
- **Adjustable Marker Sizes** - Tiny to Large
### **Advanced Calculation Methods**
Choose your POC calculation:
- **Weighted** - Smart estimation based on volume distribution (default)
- **Close** - Uses closing price
- **Middle** - High-Low midpoint
- **VWAP** - Volume weighted average price
### **Professional Tools**
- **Real-time Info Table** - Current levels display
- **Smart Alerts** - POC crosses and Value Area breakouts
- **Highlight Current Candle** - Extended dotted lines for current levels
- **Developing Levels** - Real-time updates for active candle
## 🚀 **Why Use CVPM?**
### **Precision Trading**
- Identify exact support/resistance on each candle
- Spot volume acceptance/rejection zones
- Plan entries and exits with micro-level precision
### **Clean & Customizable**
- Lines extend only right (eliminates confusion)
- Ultra-short line options for minimal chart clutter
- Professional appearance with full customization
### **Multiple Timeframes**
- Works on any timeframe from 1-minute to monthly
- Historical analysis with adjustable lookback
- Real-time developing levels
## 📈 **Perfect For**
- **Day Traders** - Micro-level entry/exit points
- **Swing Traders** - Key levels for position management
- **Volume Analysis** - Understanding price acceptance zones
- **Support/Resistance Trading** - Precise level identification
- **Breakout Trading** - Value area breakout alerts
## ⚙️ **Easy Setup**
1. Add indicator to your chart
2. Choose your preferred visual style (lines/dots)
3. Select line extension (right-only recommended)
4. Adjust line length (try "Ultra Short" for clean charts)
5. Customize colors and enable alerts
## 🎨 **Customization Groups**
- **Display Options** - What to show and how many candles
- **Calculation** - POC method and value area percentage
- **POC Visual** - Style, color, width, length for Point of Control
- **Value Area Visual** - Style, color, width, length for VAH/VAL
- **Line Settings** - Extension direction and length modes
- **Size** - Marker sizes and opacity
## 🔔 **Built-in Alerts**
- Price crosses above/below POC
- Value Area breakouts (up/down)
- Fully customizable alert messages
## 💡 **Pro Tips**
- Use "Right Only" extension to avoid confusion about which candle owns the levels
- Try "Ultra Short" or "Micro" line modes for cleaner charts
- Enable "Highlight Current Candle" for extended reference lines
- Combine with volume indicators for enhanced analysis
- Use different colors for easy POC/VAH/VAL identification
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**Transform your volume analysis today with the most flexible and customizable candle-level volume profile indicator available!**
*Perfect for traders who demand precision and clean, professional charts.*
Delta Volume Color CoderDelta Volume Color Coder - Smart Money Footprint Visualizer
OVERVIEW
The Delta Volume Color Coder is a clean, minimalist indicator that highlights candles with exceptional delta volume, helping you instantly identify where smart money is actively trading. Unlike complex volume indicators that clutter your chart, this tool simply colors candles when institutional-level volume appears, leaving your normal price action untouched.
WHAT IS DELTA VOLUME?
Delta volume represents the difference between buying and selling pressure within each candle. Positive delta indicates more aggressive buying, while negative delta shows stronger selling. When delta reaches extreme levels, it often signals institutional activity or significant market events.
KEY FEATURES
- Clean Chart Design - Only colors candles with significant delta volume
- No Chart Compression - Overlay indicator that doesn't distort price scales
- Smart Detection - Automatically calculates dynamic thresholds based on recent activity
- Customizable Thresholds - Adjust sensitivity to match your trading style
- Multiple Calculation Methods - Classic or Range-Based delta calculations
COLOR CODING (Default)
- White Candles - Extreme positive delta (massive institutional buying)
- Green Candles - High positive delta (strong buying pressure)
- Red Candles - High negative delta (strong selling pressure)
- Violet Candles - Extreme negative delta (massive institutional selling)
- Normal Candles - Unchanged (standard TradingView red/green)
HOW TO USE
1. Add to any chart - Works on all timeframes and instruments
2. Look for colored candles - These mark significant volume events
3. White/Violet candles often mark reversals or breakouts
4. Multiple colored candles in sequence indicate strong trends
5. Colored candles at support/resistance levels are especially significant
SETTINGS EXPLAINED
- Lookback Period (20) - Bars used to calculate average delta
- High Delta Threshold (1.5x) - Triggers green/red coloring
- Extreme Delta Threshold (2.5x) - Triggers white/violet coloring
- Delta Calculation - Classic (open/close) or Range Based (close position)
- Color Wicks - Option to color entire candle or just the body
- All colors fully customizable
TRADING APPLICATIONS
- Reversal Detection - White/violet candles often mark exhaustion points
- Breakout Confirmation - Colored candles on breakouts show conviction
- Support/Resistance - High delta at key levels indicates significance
- Trend Strength - Frequency of colored candles shows trend momentum
- Institutional Tracking - Extreme delta reveals where big players are active
BEST PRACTICES
- Lower timeframes (1-15m) - Use for scalping and day trading entries
- Higher timeframes (1H+) - Identify major accumulation/distribution
- Combine with price action - Most effective at key technical levels
- Watch for clusters - Multiple extreme candles = major event
- Volume confirmation - Extreme delta + high volume = highest significance
TIPS FOR SUCCESS
1. White candles after downtrends often mark bottoms
2. Violet candles after uptrends often mark tops
3. Consecutive colored candles confirm trend direction
4. Lack of colored candles = low volatility, potential breakout ahead
5. Extreme delta at round numbers indicates institutional interest
WHY THIS INDICATOR?
- Simple Yet Powerful - No complex analysis needed
- Instant Visual Feedback - See institutional activity at a glance
- Clean Charts - No overlays, lines, or clutter
- Real-Time Detection - Updates with each new candle
- Universal Application - Works on stocks, forex, crypto, futures
UNIQUE ADVANTAGES
Unlike traditional volume indicators that require separate panes or compress your chart, the Delta Volume Color Coder seamlessly integrates with your existing setup. It answers one simple question: "Where is the smart money trading RIGHT NOW?"
Perfect for traders who want institutional-level insights without the complexity. Just add to your chart and let the colors guide you to where the real action is happening.
