VH GOLD This indicator is designed to help traders understand price movement behavior using technical analysis. Instead of generating Buy/Sell signals, the script focuses on identifying the underlying strength, direction, and momentum of the market through visual chart plots.
How It Works
The indicator evaluates key technical conditions such as trend direction, momentum shifts, volatility changes, and structural swings. These conditions are converted into clean on-chart plots that highlight how the market is moving, helping traders interpret price action more confidently.
Educational
Jim Kombein Ph.D — ETH Micro-mHFT Spread EngineOverview
This indicator provides a visual micro-HFT dashboard designed to track the asymmetric short-term behavior between ETH and BTC using a statistical spread-based framework.
It highlights micro-structure drift, volatility regime shifts, and compressed/reversal zones that typically precede short-duration directional moves.
The goal is not to generate automatic buy/sell decisions, but to provide a structured real-time visualization of the underlying ETH/BTC spread environment used in high-frequency scalping contexts.
Concept
ETH/BTC relative movement often displays:
Short-horizon volatility asymmetry
Mean-reversion vs. micro-trend switching
Spread drift transitions
Regime-dependent noise amplification
Momentary structural compression before directional bursts
This engine visualizes multiple layers of this behavior simultaneously:
Short-term Z-spread
Slow Z-momentum layer
Mean-drift normalization
Volatility regime transformation
Entry & extreme statistical bands
The multi-layered structure helps traders interpret spread conditions at a glance without exposing algorithmic internals.
What the Indicator Shows
This indicator does not execute trades, nor does it expose private strategy logic.
It simply plots the following analytical layers:
Short & slow Z-spread curves
Mean-drift transitions
Volatility normalization
Statistical entry bands
Extreme deviation zones
Session-based state markers (L / l / S / s)
Visual background shading for regime interpretation
The visualization is designed to be compact and micro-HFT-friendly even on short timeframes.
Usage
Use cases include:
Identifying spread compression before expansion
Monitoring micro-drift reversal attempts
Visually confirming volatility regime suitability
Detecting early ETH/BTC imbalance pockets
Supplementing manual ETH scalping decisions
No trade logic, signals, or position recommendations are provided.
Access
This indicator is Invite-Only.
Users who wish to access it may send me their TradingView ID via message, and I will grant access after verification.
Relative Outperformance Strategy (Long Only)Relative Strength used to spot entries. Gives good returns overall.
TF7 Weekly Synthetic FutureThis indicator plots a Synthetic Future Chart by combining the ATM (At-The-Money) Call and Put option prices for NIFTY or SENSEX indices.
It reconstructs the theoretical future price using the formula:
Synthetic Future = ATM Strike + ATM Call Price - ATM Put Price
The indicator allows users to:
View the synthetic future as a line chart or a candlestick chart
Visualise the underlying Call (CE) and Put (PE) prices separately
Choose between NIFTY and SENSEX indices
Select expiry and ATM strike manually for precision
This chart can be helpful for:
Traders comparing synthetic and actual futures prices
Option traders identifying potential mispricing or arbitrage opportunities
Intraday and positional traders who want a refined price reference
📘 How to Use
Add the Indicator
Apply the script on any chart (preferably NIFTY or SENSEX) from the TradingView indicator list.
Configure the Index
In the Trade Set Up section, choose "NIFTY" or "SENSEX" as the underlying index.
Set Expiry & ATM Strike
Input the Expiry Date in YYMMDD format (e.g., 251204 for Dec 4, 2025).
Input the Straddle Strike (ATM strike you want to analyze).
The script auto-generates 18 strikes around this base and selects the closest to LTP.
Toggle Display Options
Show ATM CE/PE: Plots the last traded prices of ATM Call & Put.
Show Synthetic Future: Plots the synthetic price.
Show Candlestick Chart Instead of Line: Plots OHLC of the synthetic future instead of just close price.
Visual Tips
Candlestick bars alternate between semi-transparent green and red for better visibility.
Use shorter timeframes (e.g., 5m, 15m) for intraday strategy testing.
✅ Tips for Best Results
Ensure you're using live market hours for accurate option price data.
Match the expiry and strike exactly with available option symbols on TradingView (format: NSE:NIFTY251204CXXXXX).
Compare synthetic futures with actual FUTURE contracts (e.g., NSE:NIFTY1!) for divergence or convergence signals.
Can be used for calendar spreads, option arbitrage, and volatility-based strategies.
⚠️ Limitations
Options data may not load correctly for illiquid strikes or expired contracts.
The indicator doesn’t account for transaction costs, slippage, or dividend impact.
Requires real-time data for optimal usage; delayed data might affect accuracy.
MNQ Momentum Suite – Intraday Confluence Dashboard (1-5M)MNQ Momentum Suite is a multi-factor intraday momentum dashboard designed primarily for MNQ / NQ on the 1M–5M timeframes during the New York session.
Instead of staring at 3–4 separate indicators, this script combines them into one clean pane
DMI / ADX → who’s in control (+DI vs –DI) and how strong the move is
Momentum MA Slope (T3 or EMA) → directional bias and trend quality
Squeeze Logic (BB vs Keltner) → volatility compression & expansion zones
Composite Momentum Score (–4 to +4) → single number capturing total confluence
Color-coded Dashboard Table → instant Bull / Bear / Flat status for each component
Core Components
1️⃣ Composite Momentum (Main Histogram)
Score range : –4 to +4
Built from 4 building blocks :
DMI direction (Bull/Bear)
ADX strength above threshold
MA slope direction (up/down)
Squeeze direction (after it fires)
Interpretation:
+3 / +4 → strong bullish confluence
+1 / +2 → mild bullish bias
0 → mixed / no edge
–1 / –2 → mild bearish bias
–3 / –4 → strong bearish confluence
2️⃣ DMI / ADX Block
Uses ta.dmi() under the hood.
DI spread histogram (teal/orange) shows which side is in control.
White ADX line measures trend strength – higher = cleaner moves, low = chop.
3️⃣ Momentum MA Slope (T3 / EMA)
User can choose T3 or EMA for the slope engine.
Slope histogram color:
Aqua → MA sloping up (bull-friendly)
Fuchsia → MA sloping down (bear-friendly)
4️⃣ Squeeze (BB vs Keltner)
Yellow dots mark when Bollinger Bands are inside Keltner Channels (volatility squeeze).
When the squeeze releases and price closes on one side of both BB basis and Keltner basis, the script flags a bullish or bearish squeeze fire that feeds the composite score.
Dashboard Table (Top-Right) : The table gives a fast, text-based read of the environment:
DMI Dir – Bull / Bear / Flat
ADX – Numeric trend strength
Slope – Up / Down / Flat based on chosen MA
Squeeze – Building / Fired Up / Fired Down / Idle
Row text is color-coded:
Green when that metric is bull-friendly
Red when it is bear-friendly
Gray/white when neutral
This makes it very easy to glance at the table and see if the environment is mostly green (long-friendly) or mostly red (short-friendly).
Session & Histogram Controls
Use NY Session Filter?
When enabled, all logic is focused on the defined NY session (default 09:30–16:00 exchange time).
how Histograms Only in NY Session?
true → plots only during the NY session (good for live trading focus).
false → plots on all bars, including overnight, so you can study past days and pre-/post-market behavior.
Alerts
Two built-in alert conditions are provided:
Strong Bull Momentum – Composite ≥ 3 during the session.
Strong Bear Momentum – Composite ≤ –3 during the session.
Use these as “heads-up” momentum pings, then confirm with your own price-action, VWAP, HTF levels, and liquidity zones.
Recommended Use
Primary instruments: MNQ / NQ futures, but it can be applied to any intraday symbol.
Primary timeframes: 1M to 5M.
Designed as a confluence and filter tool, not a stand-alone entry system.
Works especially well combined with:
VWAP
10 EMA
Pre-NY and RTH highs/lows
FVG/IFVG and liquidity zones
As with any tool, this is not financial advice and does not guarantee results. Always combine with risk management and your own playbook.
CapitalFlowsRsearch: YC RegimeCapitalFlowsResearch: YC Regime — Yield Curve Regime Histogram
CapitalFlowsResearch: YC Regime takes the same six-regime yield curve framework (bull/bear steepeners, bull/bear flatteners, and their twist variants) and presents it as a dedicated histogram panel. Instead of colouring the background of a price chart, this indicator plots the 2s–10s (or chosen pair) spread as a column series and tints each bar according to the active curve regime, with an overlaid white line to show the raw spread path through time.
By comparing how the spread itself is evolving against the regime classification, traders can see not just what the curve is doing (steepening vs flattening), but also how those moves are building, stalling, or reversing over the chosen lookback. An optional legend explains each regime and the colour mapping, making it easy to standardise interpretation across instruments and timeframes. In practice, this panel functions as a compact “yield curve dashboard” you can stack under risk assets, helping align trades with the prevailing rates environment without exposing the underlying regime logic.
CapitalFlowsResearch: YC Regime (Shading)CapitalFlowsResearch: YC Regime (Shading) — Yield Curve Environment Overlay
CapitalFlowsResearch: YC Regime (Shading) turns the yield curve into a live, colour-coded market backdrop, classifying the curve into six intuitive regimes: bull steepener, bear steepener, steepener twist, bull flattener, bear flattener, and flattener twist. Instead of staring at raw spreads or multiple rate charts, you get a simple visual answer to: “What kind of curve move am I trading in right now?”
The script compares a short-dated and long-dated yield and tracks how both the spread and the individual legs have evolved over a chosen lookback window. From that, it tags each bar with the dominant curve regime and paints either the background or the candles accordingly, so regime changes are immediately obvious on any price chart you overlay it on. An optional on-chart legend summarises the regime definitions and colour scheme, making it easy to interpret at a glance and consistent across instruments and timeframes.
In practice, this overlay acts as a rates context layer for everything else you trade—equities, FX, credit, commodities—helping you link price action back to whether the curve is bull-steepening, bear-flattening, or twisting in ways that often line up with shifts in macro narrative, policy expectations, and risk appetite, all without exposing the underlying classification logic.
BTC-ETH Visual DashboardOverview
A visual dashboard designed to monitor the statistical relationship between BTC and ETH.
The indicator displays filtered and normalized curves that approximate the underlying mean-reversion structure between the two assets.
Concept
BTC–ETH relative movements often exhibit asymmetric volatility and temporary divergence.
This dashboard helps visualize:
Spread compression/expansion
Regime transitions
Short-term structural dislocations
Usage
The curves represent different smoothed layers of the BTC/ETH relationship.
Persistent moves away from the central band may indicate spread imbalance or short-term inefficiency.
Purpose
This tool is designed for traders applying statistical arbitrage, relative-value trading, or volatility regime analysis.
SPX Cumulative AD Line IndicatorThe Other ADLines online are trash. Use this one.
This indicator, written in Pine Script version 6, is designed to track market breadth for the S&P 500 by constructing and analyzing a cumulative Advance-Decline (AD) Line. It begins by allowing the user to set two parameters: a smoothing length for the AD line itself and a moving-average length (defaulted to 50 weeks) that will later be applied to the smoothed line. These inputs let traders tailor the sensitivity of the indicator to their preferred timeframe and trading style.
To build the AD line, the script pulls real-time S&P 500 index prices as well as the number of advancing and declining stocks using dedicated market breadth tickers. It calculates the daily AD difference by subtracting declines from advances, a classic method for measuring participation across the index. This difference is fed into a cumulative calculation, which produces a running total that tracks whether market participation is strengthening or weakening over time.
The cumulative AD line is then smoothed with a simple moving average based on the user’s specified smoothing length. At the same time, the script dynamically converts the 50-week moving-average period into an equivalent value for whatever chart timeframe is being used—intraday, daily, weekly, or monthly. This ensures that the moving average of the AD line reflects a consistent long-term trend regardless of the chart’s resolution.
Next, the smoothed AD line is compared to its converted 50-week moving average to determine the market’s directional bias. When the AD line rises above its long-term average, the script labels the environment as bullish; when it falls below, it flags a bearish environment. It also detects crossovers between the two lines, generating discrete buy signals when the AD line crosses upward and sell signals when it crosses downward.
Finally, the indicator visualizes all elements on the chart: the smoothed AD line, its long-term moving average, a zero reference line, and the buy/sell markers. It also colors the line and background to reflect bullish or bearish conditions, making shifts in market breadth easy to spot at a glance. This provides traders with a comprehensive breadth-based tool for identifying trend strength and potential reversals in the S&P 500.
Alt Trading: Tom's Reversal Strategy
The Alt Trading: Tom’s Reversal Strategy indicator is a multi-layered market-structure and regime-detection tool engineered specifically for intraday futures trading. It dynamically computes hourly directional bias using higher-timeframe OHLC data, enabling traders to visually interpret bullish or bearish regime transitions with precision. The system identifies structural turning points through pivot-based swing analysis and confirms Break-of-Structure (BOS) events with strict or non-strict validation logic. Once a valid BOS occurs inside a higher-timeframe continuation window, the indicator generates long or short signals that incorporate intelligent risk modeling, including pivot-derived stop placement and customizable fixed-risk calibration. Automated risk-to-reward boxes are drawn in real time, updating tick-by-tick until either the stop or target is hit, allowing for clear visualization of trade lifecycle and expectancy. A second-order trend-continuation filter highlights specific intra-hour windows—referred to as “blue windows”—giving traders refined timing insights for potential reversals. With optional background bias shading, customizable TP/SL lines, and fully stylized BOS labels, the interface provides a clean, highly interpretable execution framework. Designed with scalpers and algorithmic traders in mind, the indicator blends structure, regime context, and real-time visualization to produce high-probability reversal setups during the most liquid hours of the trading session.
Previous 5 Days OHLC + Dates + PricesTitle: Previous 5 Days OHLC Levels (Extended Lines + Labels)
Description:
This indicator automatically plots the Open, High, Low, and Close (OHLC) levels for the previous 5 trading days. Unlike standard daily separators, this tool extends the lines from their historical origin all the way to the current price bar, allowing traders to instantly see how current price action interacts with recent support and resistance levels.
Key Features:
5-Day Lookback: Automatically fetches and plots OHLC data for the last 5 trading sessions.
Extended Lines: Lines extend to the current bar (Right) to visualize immediate Support/Resistance zones.
Smart Labels: Each line is marked with the Day Name, Date, Type (O/H/L/C), and the Exact Price.
Customizable Positioning: Choose to display labels on the Left (start of the day) or the Right (next to current price) to keep your chart clean.
Toggle Visibility: Individually turn on/off Opens, Closes, Highs, or Lows to focus on the data that matters to your strategy.
How to Use:
Trend Analysis: Use previous Highs and Lows to identify potential breakout or breakdown levels.
Range Trading: Identify where price previously opened or closed to find intraday pivots.
Clean Charting: Use the settings to hide labels or specific lines (e.g., hide Opens/Closes to see only the Daily Range).
Settings:
Label Position: Switch between "Left" (historical origin) and "Right" (current price).
Visibility: Checkboxes to show/hide Open, High, Low, Close, and Text Labels.
Style: Fully customizable colors for each level type.
Technical Note: This script is optimized for performance (Pine Script v6). It uses array management and executes drawing logic only on the last bar to minimize resource usage while maintaining real-time accuracy.
HTF CandleKey Features:
- Real-time Higher Timeframe candles (5m, 15m, 1H, 4H, D, W, M – any timeframe you want, including 5-minute HTF on a 1-minute chart)
- Seamlessly display 5-minute HTF candles when on a 1-minute timeframe for precise multi-timeframe analysis
- Live developing candle that updates on every tick
- Live Trace Lines for Open, High, Low & Current Close (dotted/dashed styles with optional value labels)
- Fully customizable candle body, border, and wick colors & width
- HTF candle countdown timer (shows exact time left until next candle closes)
- Smart auto-reordering – zero overlap, perfect spacing every time
- Up to 10 completed + 1 live HTF candle display
- Intelligent label alignment (global high/low or per-candle)
- Top & bottom timeframe labels with optional timer
- Extremely lightweight – runs perfectly smooth even on 1-minute charts
- 100% Non-Repainting (except natural live-trace updates of the forming candle)
- No lag, no delay, no false signals
Perfect for:
- ICT / SMC traders
- Smart Money Concepts
- Order Blocks & Fair Value Gaps
- Multi-timeframe confluence
- Supply & Demand zones
GexView📈 OVERVIEW
GexView indicator plots the Historical Gamma Exposure (GEX) profile, directly on the chart. It enables traders and analysts to observe how GEX profile evolve across multiple days/sessions.
🧲 CONCEPT
Today everybody uses Gamma Exposure. Gamma is the ROC (Rate of Change) for an option’s delta. GEX is crucial for all traders, not just intraday traders, because it helps assess market stability and potential volatility shifts driven by options positioning.
High positive GEX generally implies a mean-reverting market, where big price swings are dampened, while negative GEX signals increased volatility and potential large moves.
Understanding GEX allows traders to anticipate liquidity-driven price action, identify key support and resistance levels, and adjust strategies accordingly. In today’s market, where options flow heavily influences underlying assets, ignoring GEX can mean missing critical market dynamics that impact both short-term and long-term positions.
💡 UNIQUENESS
This indicator is a unique tool and offers a groundbreaking way to visualize market dynamics by plotting Historical Gamma Exposure (GEX), like a Volume Profile across multiple days or sessions. For the first time, traders can clearly see how GEX levels evolve over time, revealing how certain price zones gain or lose importance as market conditions change. This multi-session GEX profile allows users to identify persistent areas of dealer positioning and potential support or resistance that develop and shift over days. Unlike traditional GEX tools designed primarily for intraday use, this indicator provides valuable insight for both short-term traders and medium-term investors seeking to understand how option market flows influence price behaviour over extended periods.
⚙️ FEATURES
• Historical Gamma Exposure
The GexView indicator by default plots the last 6 days of the GEX profile, providing a framework for understanding the bigger picture.
• GEX profile
Displays the 10 largest GEX levels across all expirations (thick lines), as well as the 10 largest GEX levels for the next expiration (thin lines, 0DTE or upcoming).
• Update
Daily, after market close, based on new open interest. No more manual level imports.
Just one-click update.
• Settings
Option to plot total sum GEX for all expirations, or only net GEX for next expiration.
• Watchlist
SPX, NDX, DIA, SPY, QQQ, VIX, VXX, IBIT
(Additional tickers coming soon)
• Mapping
The indicator automatically detects and maps the underlying ticker on your chart, or lets you plot any symbol from the available watchlist.
🔍 HOW TO USE
• Identify intraday support and resistance levels shaped by option market dynamics
• Quickly spot significant GEX levels and compare how they relate to other key levels.
• Compare current vs. past GEX distributions for contextual trend analysis
• Observe structural GEX shifts that may align with volatility or mean-reversion setups
• Easily understanding if an asset trading on positive gamma (around green lines), or negative gamma (around red lines)
Examples:
1. DIA ETF
2. QQQ and VIX
📚 NOTES
• Calculation
GEX for All Expirations: This is the total sum (Call+Put) of gamma exposure of all expirations.
GEX for Nearest Expirations: This is the net sum (Call-Put) of gamma exposure of next expirations (0DTE if available).
• Trading Session - RTH & ETH
The indicator can include the extended trading hours when activated on the chart.
✅ VISUALIZATION
• Vertical implementation of gamma exposure profile.
• Thick lines represent the total gamma exposure across all expiration contracts.
• Thin lines represent the gamma exposure of next expiration only.
• All Expirations: Green colour if Calls > Puts, Red colour if Calls < Puts
• Next Expiration: Lime colour if Calls > Puts, Maroon colour if Calls < Puts
⚠️ DISCLAIMER
This indicator is provided for informational and educational purposes only.
It does not constitute financial advice or a recommendation to buy or sell any financial instrument.
Historical Gamma patterns and analytical interpretations do not guarantee future performance.
All analysis should be combined with independent research and risk management.
MACD with EMA FilterThis indicator combines the MACD (Moving Average Convergence Divergence) with an EMA-based trend filter to improve the quality of entry signals.
MACD identifies changes in momentum and potential trend reversals, while the EMA ensures that signals are taken only in the direction of the broader trend.
SuperTrend Fusion — Trend + Momentum + Volatility FilterSuperTrend Fusion — Trend + Momentum + Volatility Filter
SuperTrend Fusion — ATP is an original, multi-factor trend-filtering tool that enhances the classic SuperTrend by combining three market dimensions in one unified model:
1. Trend direction (SuperTrend)
Provides the base trend structure using ATR-based volatility bands.
2. Momentum confirmation (Average Force – adapted)
An adapted version of an open-source “Average Force” concept published on TradingView by racer8.
This component measures where closing price sits relative to recent highs/lows, smoothed to capture directional pressure.
3. Market condition filtering (Choppiness Index)
Filters out sideways, non-trending zones where SuperTrend alone typically produces false flips.
Together, these components create a cleaner, more selective system that focuses on higher-quality SuperTrend reversals, avoiding the most common whipsaws that occur during low-momentum or high-choppiness periods.
🔍 How it Works
A long signal occurs when:
- SuperTrend flips from downtrend to uptrend
- Momentum (AF) is positive (optional filter)
- The market is trending and not excessively choppy (optional filter)
A short signal triggers under the symmetrical conditions.
Filtered signals are visually marked with subtle “X” markers so traders can understand when a raw SuperTrend flip was rejected by the filters.
The indicator also includes:
Enhanced styling for better visibility
Colored bars during valid signals
Optional background highlight during choppy periods
🎯 What This Indicator Is Designed For
This tool aims to:
- Improve the quality of SuperTrend entries
- Remove many low-probability signals
- Help traders visually identify when the market has the momentum and structure required for cleaner trend continuation
It is not intended to predict markets or guarantee accuracy; rather, it provides structure and clarity for decision-making based on technical rules.
⚙️ Inputs
- ATR Length & Factor (SuperTrend)
- Average Force Period & Smoothing
- Choppiness Length & Threshold
- Option to enable/disable each filter individually
📘 Credits
This script includes an adapted version of an open-source “Average Force” function originally published on TradingView by its author, racer8.
SuperTrend and Choppiness Index components are derived from classical, public-domain formulas.
📌 Important Notes
This indicator is not a strategy and does not guarantee performance.
Signals are based on historical calculations only and do not use lookahead.
Past performance does not guarantee future results.
Always test different assets and timeframes before using in live conditions.
👍 Recommended Usage
For a clean experience:
- Use on standard candlestick charts
- Avoid non-standard chart types (Renko, Heikin Ashi, Kagi, Range)
- Combine with your own risk management and trade planning
Casper 5min candle v0.6--------------------------------------------
Description
--------------------------------------------
This is an indicator showing trade ideas and alerts based on
5minute Candle breakout strategy according to www.youtube.com
BASIC FUNCTIONS
- it draws 5 min Range (default 9:30 NY time at Stock market open)
- detects breakout of range with fvg_tap_wait
- wait for tapping FVG
- waits for entry confirmation
- it has sets of alerts (FVG creation, FVG tapping and Entry confirmation)
New York Midnight Day Separator by JPThis is an updated script with setting added for transparency, line type etc., thanks to the original publisher of this code.
Stock Reference DataIndicator that paints a table with reference data such as Earnings Date, Avg Volume, ATR, ATR% etc.
Institutional S/R Engine + Major FX Scanner v2.1This indicator is designed to map out institutional-style Support & Resistance zones and rank them by strength, so you can immediately see which areas on the chart actually matter.
Instead of drawing random horizontal lines, it automatically detects swing points, builds zones, and scores them based on how price has reacted there in the past. The goal is simple:
Help you focus on the most meaningful levels for entries, partials, and take-profit targets.
What it does
Auto-detects Support & Resistance zones
Uses swing structure to find major highs/lows and converts them into zones instead of thin lines, so you see “areas of interest,” not single magic prices.
Macro + Micro structure in one view
Separates higher-timeframe structure (macro) from local intraday structure (micro), letting you see the bigger picture and the immediate battle zone at the same time.
Zone strength scoring
Each zone is graded using factors such as:
Number of respected touches / reactions
How recently price interacted with the zone
How cleanly price reversed or continued from that level
Stronger zones are visually emphasized so your eye is drawn to the most important areas first.
ATR-aware zone widths
Zone size adapts to volatility, so levels don’t become absurdly thick in fast markets or razor-thin in slow ones. This helps keep zones realistic and tradable.
Clean, minimal visuals
Zones are plotted with clear colors and opacity so they are easy to see without cluttering your chart. You can tune transparency, line styles, and how many zones you want to see.
How to use it
This script is meant to be a decision-support tool, not a signal generator:
Use the strongest zones as:
Locations to plan trend continuation entries
Areas to look for exhaustion / fade behavior
Logical places for partials or final take-profit targets
Combine the zones with:
Your EMA stack or moving average framework
Volume / volatility tools
Candlestick behavior and market structure (HH/HL, LH/LL, breaks of structure)
The edge comes from confluence: strong zone + correct bias + clean price action.
The script will not tell you “buy” or “sell” – it shows you where the fight is most likely to matter.
Markets & Timeframes
Works on Forex, indices, commodities, crypto, and futures.
Timeframe-agnostic: can be used on higher timeframes for swing context and on intraday charts for execution.
Important note
This is an analytical tool only. It does not guarantee profit, and it is not financial advice. Always combine it with your own risk management, trade plan, and backtesting before using it in live markets.
RSI Analytic Volume Matrix [RAVM] Overview
RSI Analytic Volume Matrix is an overlay indicator that turns classic RSI into a multi-layered market-reading engine. Instead of treating RSI 30 and 70 as simple buy/sell lines, RAVM combines RSI geometry (angle and acceleration), statistical volume analysis, and a 5×5 VSA-inspired matrix to describe what is really happening inside each candle.
The script is designed as an educational and analytical tool. It does not generate trading signals. Instead, it helps you read the market context, understand where the pressure is coming from (buyers vs. sellers), and see how price, momentum, and volume interact in real time.
Concept & Philosophy
RAVM is built around a hierarchical logic and a few core ideas:
• Hierarchical State Machine: First, RSI defines a context (where we are in the 0–100 range). Then the geometric engine evaluates the angle-of-turn of RSI using a Z-Score. Only after a meaningful geometric event is detected does the system promote a bar to a potential setup (warning vs. confirmed).
• Geometric Primacy: The angle and acceleration of RSI (RSI geometry) are more important than the raw RSI level itself. RAVM uses a geometric veto: if the geometric trigger is not confirmed, the confidence score is capped below 50%, even if volume looks interesting.
• RSI Beyond 30 and 70: Being above 70 or below 30 is not treated as an automatic overbought/oversold signal. RAVM treats those zones as contextual factors that contribute only a partial portion of the final score, alongside geometry, total volume expansion, buy/sell balance, and delta power.
• Volume Decomposition: Volume is decomposed into total, buy-side, sell-side, and delta components. Each of these is normalized with a Z-Score over a shared statistical window, so RSI geometry and volume live in the same statistical context.
• Educational Scoring Pipeline: RAVM builds a 0–100 "Quantum Score" for each detected setup. The score expresses how strong the story is across four dimensions: geometry (RSI angle-of-turn), total volume expansion, which side is driving that volume (buyers vs. sellers), and the power of delta. The score is designed for learning and weighting, not for mechanical trade entries.
• VSA Matrix Engine: A 5×5 matrix combines momentum states and volume dynamics. Each cell corresponds to an interpreted VSA-style scenario (Absorption, Distribution, No Demand, Stopping Volume, Strong Reversal, etc.), shown both as text and as a heatmap dashboard on the chart.
How RAVM Works
1. RSI Context & Geometry
RAVM starts with a classic RSI, but it does not stop at simple level checks. It computes the velocity and acceleration of RSI and normalizes them via a Z-Score to produce an Angle-of-Turn metric (Z-AoT). This Z-AoT is then mapped into a 0–1 intensity value called MSI (Momentum Shift Intensity).
The script monitors both classic RSI zones (around 30 and 70) and geometric triggers. Entering the lower or upper zone is treated as a contextual event only. A setup becomes "confirmed" when a significant geometric turn is detected (based on Z-AoT thresholds). Otherwise, the bar is at most a warning.
2. Volume & Statistical Engine
The volume engine can work in two modes: a geometric approximation (based on candle structure) or a more precise intrabar mode using up/down volume requests. In both cases, RAVM builds a volume packet consisting of:
• Total volume
• Buy-side volume
• Sell-side volume
• Delta (buy – sell)
Each of these series is normalized using a Z-Score over the same statistical window that is used for RSI geometry. This allows RAVM to answer questions such as: Is total volume exceptional on this bar? Is the expansion mostly coming from buyers or from sellers? Is delta unusually strong or weak compared to recent history?
3. Scoring System (Quantum Score)
For each bar where a setup is active, RAVM computes a 0–100 score intended as an educational confidence measure. The scoring pipeline follows this sequence:
A. RSI Geometry (MSI): Measures the strength of the RSI angle-of-turn via Z-AoT. This has geometric primacy over simple level checks.
B. RSI Zone Context: Being below 30 or above 70 contributes only a partial bonus to the score, reflecting the idea that these zones are context, not automatic signals. Mildly supportive zones (e.g., RSI below 50 for bullish contexts) can also contribute with lower weight.
C. Total Volume Expansion: A normalized Volume Power term expresses how exceptional the total volume is relative to its recent distribution. If there is no meaningful volume expansion, the score remains modest even if RSI geometry looks interesting.
D. Which Side Is Driving the Volume: RAVM then checks whether the expansion is primarily on the buy side or the sell side, using Z-Score statistics for buy and sell volume separately. This stage does not yet rely on delta as a power metric; it simply answers the question: "Is this expansion mostly driven by buyers, sellers, or both?"
E. Delta as Final Power: Only at the final stage does the script bring in delta and its Z-Score as a measure of how one-sided the pressure really is. A strong negative delta during a bullish context, for example, can highlight absorption, while a strong positive delta against a bearish context can highlight distribution or a buying climax.
If a setup is not geometrically confirmed (for example, a simple entry into RSI 30/70 without a strong geometric turn), RAVM caps the final score below 50%. This "Geometric Veto" enforces the idea that RSI geometry must confirm before a scenario can be considered high-confidence.
4. Overlay UI & Smart Labels
RAVM is an overlay indicator: all information is drawn directly on the price chart, not in a separate pane. When a setup is active, a smart label is attached to the bar, together with a vertical connector line. Each label shows:
• Direction of the setup (bullish or bearish)
• Trigger type (classic OS/OB vs. geometric/hidden)
• Status (warning vs. confirmed)
• Quantum Score as a percentage
Confirmed setups use stronger colors and solid connectors, while warnings use softer colors and dotted connectors. The script also manages label placement to avoid overlap, keeping the chart clean and readable.
In addition to labels, a dashboard table is drawn on the chart. It displays the currently active matrix scenario, the dominant bias, a short textual interpretation, the full 5×5 heatmap, and summary metrics such as RSI, MSI, and Volume Power.
RSI Is Not Just 30 and 70
One of the central design decisions in RAVM is to treat RSI 30 and 70 as context, not as fixed buy/sell buttons. Many traders mechanically assume that RSI below 30 means "buy" and RSI above 70 means "sell". RAVM explicitly rejects this simplification.
Instead, the script asks a series of deeper questions: How sharp is the angle-of-turn of RSI right now? Is total volume expanding or contracting? Is that expansion dominated by buyers or sellers? Is delta confirming the move, or is there a hidden absorption or distribution taking place?
In the scoring logic, being in a lower or upper RSI zone contributes only part of the final score. Geometry, volume expansion, the buy/sell split, and delta power all have to align before a high-confidence scenario emerges. This makes RAVM much closer to a structured market-reading tool than a classic overbought/oversold indicator.
Matrix User Manual – Reading the 5×5 Grid
The heart of RAVM is its 5×5 matrix, where the vertical axis represents momentum states (M1–M5) and the horizontal axis represents volume dynamics (V1–V5). Each cell in this grid corresponds to a VSA-style scenario. The dashboard highlights the currently active cell and prints a textual description so you can read the story at a glance.
1. Confirmation Scenarios
These scenarios occur when momentum direction and volume expansion are aligned:
• Bullish Confirmation / Strong Reversal: Momentum is shifting strongly upward (often from a depressed RSI context), and expanded volume is driven mainly by buyers. Often seen as a strong bullish reversal or continuation signal from a VSA perspective.
• Bearish Confirmation / Strong Drop: Momentum is turning decisively downward, and expanded volume is driven mainly by sellers. This maps to strong bearish continuation or sharp reversal patterns.
2. Absorption & Stopping Volume
• Absorption: Total volume expands, but the dominant flow is opposite to the recent price move or the geometric bias. For example, heavy selling volume while the geometric context is bullish. This can indicate smart money quietly absorbing orders from the crowd.
• Stopping Volume: Exceptionally high volume appears near the end of an extended move, while momentum begins to decelerate. Price may still print new extremes, but the effort vs. result relationship signals potential exhaustion and the possibility of a turn.
3. Distribution & Buying Climax
• Distribution: Heavy buying volume appears within a bearish or topping context. Rather than healthy accumulation, this often represents larger players offloading inventory to late buyers. The matrix will typically flag this as a bearish-leaning scenario despite strong upside prints.
• Buying Climax: A surge of buy-side volume near the end of a strong uptrend, with momentum starting to weaken. From a VSA point of view, this is often the last push where retail aggressively buys what smart money is selling.
4. No Demand & No Supply
• No Demand: Price attempts to rise but does so on low, non-expansive volume. The market is not interested in following the move, and the lack of participation often precedes weakness or sideways action.
• No Supply: Price tries to push lower on thin volume. Selling pressure is limited, and the lack of supply can precede stabilization or recovery if buyers step back in.
5. Trend Exhaustion
• Uptrend Exhaustion: Momentum remains nominally bullish, but the quality of volume deteriorates (e.g., more effort, less net result). The matrix marks this as an uptrend losing internal strength, often after a series of aggressive moves.
• Downtrend Exhaustion: Similar logic in the opposite direction: strong prior downtrend, but increasingly inefficient downside progress relative to the volume invested. This can precede accumulation or a relief rally.
6. Effort vs. Result Scenarios
• Bullish Effort, Little Result: Buyers invest notable volume, but price progress is limited. This may reveal hidden selling into strength or a lack of follow-through from the broader market.
• Bearish Effort, Little Result: Sellers push volume, but price does not decline proportionally. This can indicate absorption of selling pressure and potential underlying demand.
7. Neutral, Churn & Thin Markets
• Neutral / Thin Market: Momentum and volume both remain muted. RAVM marks these as neutral cells where aggressive decision-making is usually less attractive and observing the broader structure is more important.
• High Volume Churn / Volatility: Both sides are active with high volume but limited directional progress. This can correspond to battle zones, local ranges, or high volatility rotations where the main message is conflict rather than clear trend.
Inputs & Options
RAVM includes several input groups to adapt the tool to your preferences:
• Localization: Multiple language options for all labels and dashboard text (e.g., English, Farsi, Turkish, Russian).
• RSI Core Settings: RSI length, source, and upper/lower contextual zones (typically around 30 and 70).
• Geometric Engine: Z-AoT sigma thresholds, confirmation ratios, and normalization window multiplier. These control how sensitive the script is to RSI angle-of-turn events.
• Volume Engine: Choice between geometric approximation and intrabar up/down volume, Z-Score thresholds for volume expansion, and related parameters.
• Visual Interface: Toggles for smart labels, dashboard table, font sizes, dashboard position, and color themes for bullish, bearish, and warning states.
Disclaimer
RSI Analytic Volume Matrix is provided for educational and research purposes only. It does not constitute financial advice and is not a signal generator. Any trading decisions you make based on this tool, or any other, are entirely your own responsibility. Always consider your own risk management rules and conduct your own analysis.
Hash Pivot DetectorHash Pivot Detector
Professional Support & Resistance Detection with Multi-Timeframe Zone Analysis
Developed by Hash Capital Research, the Hash Pivot Detector is a sophisticated indicator designed for identifying key support and resistance levels using pivot-based detection with institutional-grade zone analysis.
Key Features
Zone-Based Detection
Unlike traditional single-line S/R indicators, Hash Pivot Detector uses configurable zones around pivot levels to represent realistic institutional order areas. Adjustable zone width accommodates different asset volatilities.
Multi-Timeframe Analysis
Displays higher timeframe support/resistance levels alongside current timeframe pivots, providing crucial context for institutional positioning and stronger price barriers.
Clean Visual Design
Features Hash Capital's signature fluorescent color scheme (pink resistance, cyan support) optimized for dark charts with high contrast and instant visual recognition. Semi-transparent zones keep your chart clean and readable.
How It Works
The indicator uses pivot high/low detection with configurable left and right bar parameters. When a pivot is confirmed, it plots:
Primary support/resistance lines at pivot levels
Semi-transparent zones representing realistic order areas
Higher timeframe S/R levels as crosses for additional context
Recommended Settings
For Swing Trading:
Pivot Bars: 10-20 left/right
Zone Width: 0.5-1.0%
HTF: Daily (on 1H-4H charts)
For Intraday Trading:
Pivot Bars: 5-10 left/right
Zone Width: 0.3-0.5%
HTF: 1H or 4H (on 5min-15min charts)
Asset-Specific Zone Width:
Forex/Crypto: 0.3-0.5%
Stocks: 0.5-1.0%
Volatile Assets: 1.0-2.0%
What Makes It Different
✓ Zone-based approach (more realistic than lines)
✓ Multi-timeframe confluence detection
✓ Minimal visual clutter with maximum information
✓ Professional institutional aesthetic
✓ Comprehensive tooltips for easy optimization
✓ No repainting - all pivots are confirmed
Best Used For
Identifying high-probability entry/exit zones
Setting stop-loss and take-profit levels
Recognizing breakout/breakdown areas
Multi-timeframe confluence analysis
Swing trading and position trading
Intraday scalping with adjusted parameters
Notes
Works on all timeframes and markets
Fully customizable colors and parameters
All settings include detailed optimization guidance
Clean code, efficient performance
No alerts or notifications (visual analysis only)
