Volume Voids [theUltimator5]Volume Voids highlights price regions with no or unusually thin participation over a chosen lookback. It bins the lookback’s full price range into equal steps, assigns each bar’s close to a bin, and accumulates volume per bin. Contiguous runs of zero-volume bins are shown as “voids,” while low-volume runs (below a dynamic threshold) mark thin-liquidity “corridors” where price often traverses quickly when revisited.
An optional PoC (Point of Control) line marks the mid-price of the highest-volume bin—commonly treated as a recent “value” area that price may revisit.
What it draws on your chart
Histogram (optional): Right-anchored horizontal volume-by-price bars built from your lookback and bin count. Bars tint green→red via a simple delta proxy (up-bar volume minus down-bar volume) to hint at directional participation inside each price band.
Point of Control (optional): A horizontal line at the highest-volume bin’s mid-price (the PoC).
Zero-Volume Voids: Translucent boxes where no bin volume printed within the window (detected between the first and last non-empty bins ).
Low-Volume Zones: Translucent boxes where bin volume is below a dynamic threshold (see formula below), often acting like low-friction corridors.
How it works
Slice the lookback’s high→low into N equal price bins.
Assign each bar’s closing price to a bin and add that bar’s volume to the bin total. A simple up/down-bar delta proxy drives the histogram’s tinting.
PoC = bin with the maximum accumulated volume.
Zero-Volume Voids = contiguous runs of bins with exactly zero volume (bounded by the first/last occupied bins).
Low-Volume Zones = contiguous runs of bins with volume below:
threshold = total_window_volume ÷ (divisor × number_of_bins)
Lower divisor → more LV boxes; higher divisor → stricter/fewer boxes.
Note: This is a lightweight, chart-native approximation of a volume profile. Volume is binned by bar close (not by tick-level prints or intrabar distribution), so “voids”/“thin” areas reflect this approximation.
Key inputs
Lookback Period: Window for calculations.
Number of Volume Boxes (bins): Histogram resolution.
PoC / Show Histogram / Anchor to Right Side: Visibility and layout controls.
Low-Volume Threshold Divisor: Sensitivity for LV detection.
Colors & Labels: Customize zero-volume / low-volume box colors and optional labels with offsets.
How to use (educational, not signals)
Context: High-volume = acceptance; thin/zero-volume = inefficiency. Price often rotates near acceptance and moves faster through thin areas.
Revisits: On returns to prior voids/LV zones, watch for accelerated moves or fills; PoC can serve as a balance reference.
Confluence: Pair with trend tools (e.g., ADX), VWAP/session markers, or structure levels for timing and risk.
Limitations & performance
Bins use closing price only; intrabar distribution is not modeled.
Detections refresh on the live bar; visuals can be heavy on large lookbacks/high bin counts—reduce bins/lookback or hide labels if needed.
在腳本中搜尋"volume profile"
Technical Summary VWAP | RSI | VolatilityTechnical Summary VWAP | RSI | Volatility
The Quantum Trading Matrix is a multi-dimensional market-analysis dashboard designed as an educational and idea-generation tool to help traders read price structure, participation, momentum and volatility in one compact view. It is not an automated execution system; rather, it aggregates lightweight “quantum” signals — VWAP position, momentum oscillator behaviour, multi-EMA trend scoring, volume flow and institutional activity heuristics, market microstructure pivots and volatility measures — and synthesizes them into a single, transparent score and signal recommendation. The primary goal is to make explicit why a given market looks favourable or unfavourable by showing the individual ingredients and how they combine, enabling traders to learn, test and form rules based on observable market mechanics.
Each module of the matrix answers a distinct market question. VWAP and its percentage distance indicate whether the current price is trading above or below the intraday volume-weighted average — a proxy for intraday institutional control and value. The quantum momentum oscillator (fast and slow EMA difference scaled to percent) captures short-to-intermediate momentum shifts, providing a quickly responsive view of directional pressure. Multi-EMA trend scoring (8/21/50) produces a simple, transparent trend score by counting conditions such as price above EMAs and cross-EMAs ordering; this score is used to categorize market trend into descriptive buckets (e.g., STRONG UP, WEAK UP, NEUTRAL, DOWN). Volume analysis compares current volume to a recent moving average and computes a Z-score to detect spikes and unusual participation; additional buy/sell pressure heuristics (buyingPressure, sellingPressure, flowRatio) estimate whether upside or downside participation dominates the bar. Institutional activity is approximated by flagging large orders relative to volume baseline (e.g., volume > 2.5× MA) and estimating a dark pool proxy; this is a heuristic to highlight bars that likely had large players involved.
The dashboard also performs market-structure detection with small pivot windows to identify recent local support/resistance areas and computes price position relative to the daily high/low (dailyMid, pricePosition). Volatility is measured via ATR divided by price and bucketed into LOW/NORMAL/HIGH/EXTREME categories to help you adapt stop sizing and expectational horizons. Finally, all these pieces feed an interpretable scoring function that rewards alignment: VWAP above, strong flow ratio, bullish trend score, bullish momentum, and favorable RSI zone add to the overall score which is presented as a 0–100 metric and a colored emoji indicator for at-a-glance assessment.
The mashup is purposeful: each indicator covers a failure mode of the other. For example, momentum readings can be misleading during volatility spikes; VWAP informs whether institutions are on the bid or offer; volume Z-score detects abnormal participation that can validate a breakout; multi-EMA score mitigates single-EMA whipsaws by requiring a combination of price/EMA conditions. Combining these signals increases information content while keeping each component explainable — a key compliance requirement. The script intentionally emphasizes transparency: when it shows a BUY/SELL/HOLD recommendation, the dashboard shows the underlying sub-components so a trader can see whether VWAP, momentum, volume, trend or structure primarily drove the score.
For practical use, adopt a clear workflow: (1) check the matrix score and read the component tiles (VWAP position, momentum, trend and volume) to understand the drivers; (2) confirm market-structure support/resistance and pricePosition relative to the daily range; (3) require at least two corroborating components (for example, VWAP ABOVE + Momentum BULLISH or Volume spike + Trend STRONG UP) before considering entries; (4) use ATR-based stops or daily pivot distance for stop placement and size positions such that the trade risks a small, pre-defined percent of capital; (5) for intraday scalps shorten holding time and tighten stops, for swing trades increase lookback lengths and require multi-timeframe (higher TF) agreement. Treat the matrix as an idea filter and replay lab: when an alert triggers, replay the bars and observe which components anticipated the move and which lagged.
Parameter tuning matters. Shortening the momentum length makes the oscillator more sensitive (useful for scalping), while lengthening it reduces noise for swing contexts. Volume profile bars and MA length should match the instrument’s liquidity — increase the MA for low-liquidity stocks to reduce false institutional flags. The trend multiplier and signal sensitivity parameters let you calibrate how aggressively the matrix counts micro evidence into the score. Always backtest parameter sets across multiple periods and instruments; run walk-forward tests and keep a simple out-of-sample validation window to reduce overfitting risk.
Limitations and failure modes are explicit: institutional flags and dark-pool estimates are heuristics and cannot substitute for true tape or broker-level order flow; volume split by price range is an approximation and will not perfectly reflect signed volume; pivot detection with small windows may miss larger structural swings; VWAP is typically intraday-centric and less meaningful across multi-day swing contexts; the score is additive and may not capture non-linear relationships between features in extreme market regimes (e.g., flash crashes, circuit breaker events, or overnight gaps). The matrix is also susceptible to false signals during major news releases when price and volume behavior dislocate from typical patterns. Users should explicitly test behavior around earnings, macro data and low-liquidity periods.
To learn with the matrix, perform these experiments: (A) collect all BUY/SELL alerts over a 6-month period and measure median outcome at 5, 20 and 60 bars; (B) require additional gating conditions (e.g., only accept BUY when flowRatio>60 and trendScore≥4) and compare expectancy; (C) vary the institutional threshold (2×, 2.5×, 3× volumeMA) to see how many true positive spikes remain; (D) perform multi-instrument tests to ensure parameters are not tuned to a single ticker. Document every test and prefer robust, slightly lower returns with clearer logic rather than tuned “optimal” results that fail out of sample.
Originality statement: This script’s originality lies in the curated combination of intraday value (VWAP), multi-EMA trend scoring, momentum percent oscillator, volume Z-score plus buy/sell flow heuristics and a compact, interpretable scoring system. The script is not a simple indicator mashup; it is a didactic ensemble specifically designed to make internal rationale visible so traders can learn how each market characteristic contributes to actionable probability. The tool’s novelty is its emphasis on interpretability — showing the exact contributing signals behind a composite score — enabling reproducible testing and educational value.
Finally, for TradingView publication, include a clear description listing the modules, a short non-technical summary of how they interact, the tunable inputs, limitations and a risk disclaimer. Remove any promotional content or external contact links. If you used trademark symbols, either provide registration details or remove them. This transparent documentation satisfies TradingView’s requirement that mashups justify their composition and teach users how to use them.
Quantum Trading Matrix — multi-factor intraday dashboard (educational use only).
Purpose: Combines intraday VWAP position, a fast/slow EMA momentum percent oscillator, multi-EMA trend scoring (8/21/50), volume Z-score and buy/sell flow heuristics, pivot-based microstructure detection, and ATR-based volatility buckets to produce a transparent, componentized market score and trade-idea indicator. The mashup is intentional: VWAP identifies intraday value, momentum detects short bursts, EMAs provide structural trend bias, and volume/flow confirm participation. Signals require alignment of at least two components (for example, VWAP ABOVE + Momentum BULLISH + positive flow) for higher confidence.
Inputs: momentum period, volume MA/profile length, EMA configuration (8/21/50), trend multiplier, signal sensitivity, color and display options. Use shorter momentum lengths for scalps and longer for swing analysis. Increase volume MA for thinly traded instruments.
Limitations: Institutional/dark-pool estimates and flow heuristics are approximations, not actual exchange tape. VWAP is intraday-focused. Expect false signals during major news or low-liquidity sessions. Backtest and paper-trade before applying real capital.
Risk Disclaimer: For education and analysis only. Not financial advice. Use proper risk management. The author is not responsible for trading losses.
________________________________________
Risk & Misuse Disclaimer
This indicator is provided for education, analysis and idea generation only. It is not investment or financial advice and does not guarantee profits. Institutional activity flags, dark-pool estimates and flow heuristics are approximations and should not be treated as exchange tape. Backtest thoroughly and use demo/paper accounts before trading real capital. Always apply appropriate position sizing and stop-loss rules. The author is not responsible for any trading losses resulting from the use or misuse of this tool.
________________________________________
Risk Disclaimer: This tool is provided for education and analysis only. It is not financial advice and does not guarantee returns. Users assume all risk for trades made based on this script. Back test thoroughly and use proper risk management.
Anchored Grids ft. VolumeINTRO
The 'Volume Profile' is a great tool, isn’t it? It shows us where volume has accumulated on the chart and helps guide trading decisions. The only catch is that we can’t really choose the levels—it’s all based on where volume happens to cluster. But what if we reversed the logic and measured the volume at the levels we define? That’s exactly what this script does, giving you a fresh way to spot support and resistance :)
OVERVIEW
'Anchored Grids ft. Volume' is a sophisticated technical analysis tool that combines price grid analysis with volume accumulation metrics. This indicator dynamically calculates and displays custom support and resistance levels based on a user-defined timeframe, while simultaneously tracking and visualizing volume accumulation at each specific price level. Unlike traditional volume profile indicators that use complex statistical clustering, this tool provides straightforward volume measurement at predetermined technical levels. It answers a critical question: "How much trading activity occurred near the key price levels I care about?".
HOW DOES THIS INDICATOR WORK?
This indicator builds a customizable grid system anchored to the opening price of any user-selected timeframe (hourly, daily, weekly, etc.). From that anchor point, it continuously tracks the highest high and lowest low, then calculates equidistant grid levels within that range. Two calculation modes are available—Arithmetic and Geometric—allowing flexibility in how the levels are distributed.
Once the grid is established, a volume accumulation engine comes into play. For each price bar, the script checks whether the bar’s range intersects with any level’s tolerance zone (default 0.01%). If a touch is detected, that bar’s volume is added to the corresponding level. Over time, this process builds a clear picture of where significant trading activity has clustered.
The visualization system highlights these dynamics by applying a color gradient based on volume intensity and adjusting line thickness proportional to accumulated volume. Each level is also labeled with four key data points:
The grid number (in square brackets)
The price of the level
The percentage distance between the level and the opening price of the selected timeframe
The total volume accumulated within the level’s tolerance range
PARAMETERS
Timeframe: Defines the anchor period for grid calculation. Then, the indicator automatically determines the open, high, and low prices.
Mode: This option determines how the distance between levels is calculated: Arithmetic (linear) means equal price spacing between levels, while Geometric (logarithmic) means equal percentage spacing between levels.
Grids: It's the number of levels between high and low.
Color: Base color for grid lines and labels. When volume data is displayed, lower values are darkened by 50%.
Show Volume Accumulation: When this parameter is activated, the volume calculation is enabled.
Tolerance : The Tolerance parameter (default range: 0.01%) defines the price range around each grid level where volume accumulation is registered. It acts as a sensitivity control that determines how close price must be to a level to count trading volume toward that level's accumulation.
ORIGINALITY
It’s possible to find comprehensive grid-drawing tools among community indicators, but I haven’t come across an example that combines this concept with volume data. More importantly, I wanted to demonstrate how volume accumulation can be generated for any data modeled as an array on the chart by developers.
SUMMARY
In conclusion, the selected timeframe and the number of grids are only used as a reference to determine where the levels are drawn. The true value of this indicator lies in its ability to calculate volume accumulation directly from the chart’s own candles, showing how much trading activity occurred around each level. The result is a hybrid framework that merges structural price analysis with volume distribution, offering traders deeper insights into where markets are likely to react.
NOTE
While powerful, this tool should be used as part of a comprehensive trading strategy rather than as a standalone system. Always combine with risk management principles and market context awareness. I hope it helps everyone. Trade as safely as possible. Best of luck!
Fair Value Gap Suite Adrian V1.0.0Brief description
The “FVG Suite” identifies fair value gaps across multiple time units, evaluates them with a displacement score, optionally filters them according to market structure events (BOS/CHOCH), and provides context-based alerts for first touch, partial and full fills, and invalidation. The aim is to show only high-quality imbalances and trade them based on rules.
What makes the script unique (originality/added value)
Displacement score: Strength of the impulse movement as a combination of (body/ATR, range/ATR, volume Z-score).
MTF aggregator: FVGs from higher timeframes are collected, ranked, and displayed as zones on the active chart (including overlap clustering).
Structure context: Optionally, only FVGs after confirmed BOS/CHOCH in the trend direction, including premium/discount evaluation relative to the HTF range.
Adaptive invalidation: FVG expires after candles, opposing BOS or defined time (e.g., end of session).
Session/instrument filter: Time window (e.g., NY/LDN), minimum tick size, ATR-based minimum gap.
Smart fill logic: Distinguishes between first touch, partial fill (≥ %), full fill (100%); alarms per event.
Statistics overlay (optional): Hit rate/expectancy per TF & session for fine-tuning the filters.
How it works (conceptually)
FVG definition (3-candle pattern): Bullish if High < Low (bearish analog). Size = gap span in points.
Quality score:Score = w1*(|Body|/ATR) + w2*(Range/ATR) + w3*(Volume-Z), normalized to 0–100.
MTF scan: List of higher TFs: (customizable). Findings are merged, ranked, and displayed as zones with priority (color/opacity).
Context filter: Only FVGs that emerge after BOS/CHOCH in the direction of the current trend; optional exclusion in premium/discount areas.
Invalidation & alerts: A zone is considered active until the invalidation rule takes effect. Alerts are triggered upon: initial contact, partial/full filling, invalidation.
Important inputs
Min. FVG size: × ATRor ticks/points
Min. displacement score: (0–100)
MTF list:
BOS/CHOCH filter: On/Off (Lookback candles)
Session filter: NY/LDN/Asia (local time, weekend toggle)
Invalidation: maxBars = , Opposite BOS = On/Off, Session End = On/Off
Fill definitions: Partial fill ≥ % of the gap; Full fill = 100%
Overlay options: Zone color/transparency, HTF label, statistics overlay On/Off
Alerts (names & triggers)
FVG Suite – First Touch: Price touches an active FVG zone for the first time.
FVG Suite – Partial Fill: Partial fill ≥ configured threshold.
FVG Suite – Full Fill: Gap completely filled.
FVG Suite – Invalidated: Zone invalidated by rules. (Alert message contains: symbol, TF of the zone, direction, score, size, trigger rule.)
Use (best practices)
Trade in the trend direction with BOS/CHOCH filter; target counter-imbalances/liquidity pools.
Use session filters to avoid news spikes/illiquid periods.
Calibrate parameters for each market/TF (ATR/volume profiles differ).
Limitations
Structure labels can be reevaluated for new highs/lows (repainting of labels, not of FVG finds).
Spreads/news can generate “pseudo fills.”
Backtests/statistics are sample-dependent; no guarantee of results.
Changelog
v1.0 – First release (score model, MTF aggregator, BOS/CHOCH filter, fill alerts).
Credits
FVG concept: public ICT/SMC literature (general idea). Implementation/scoring, MTF ranking, smart fill logic: own development.
Note/disclaimer
No financial advice. For educational purposes only. Trading involves high risk; use stop losses and a fixed risk budget.
Fair Value Gap Suite Adrian V1.0.0Brief description
The “FVG Suite” identifies fair value gaps across multiple time units, evaluates them with a displacement score, optionally filters them according to market structure events (BOS/CHOCH), and provides context-based alerts for first touch, partial and full fills, and invalidation. The aim is to show only high-quality imbalances and trade them based on rules.
What makes the script unique (originality/added value)
Displacement score: Strength of the impulse movement as a combination of (body/ATR, range/ATR, volume Z-score).
MTF aggregator: FVGs from higher timeframes are collected, ranked, and displayed as zones on the active chart (including overlap clustering).
Structure context: Optionally, only FVGs after confirmed BOS/CHOCH in the trend direction, including premium/discount evaluation relative to the HTF range.
Adaptive invalidation: FVG expires after candles, opposing BOS or defined time (e.g., end of session).
Session/instrument filter: Time window (e.g., NY/LDN), minimum tick size, ATR-based minimum gap.
Smart fill logic: Distinguishes between first touch, partial fill (≥ %), full fill (100%); alarms per event.
Statistics overlay (optional): Hit rate/expectancy per TF & session for fine-tuning the filters.
How it works (conceptually)
FVG definition (3-candle pattern): Bullish if High < Low (bearish analog). Size = gap span in points.
Quality score:Score = w1*(|Body|/ATR) + w2*(Range/ATR) + w3*(Volume-Z), normalized to 0–100.
MTF scan: List of higher TFs: (customizable). Findings are merged, ranked, and displayed as zones with priority (color/opacity).
Context filter: Only FVGs that emerge after BOS/CHOCH in the direction of the current trend; optional exclusion in premium/discount areas.
Invalidation & alerts: A zone is considered active until the invalidation rule takes effect. Alerts are triggered upon: initial contact, partial/full filling, invalidation.
Important inputs
Min. FVG size: × ATRor ticks/points
Min. displacement score: (0–100)
MTF list:
BOS/CHOCH filter: On/Off (Lookback candles)
Session filter: NY/LDN/Asia (local time, weekend toggle)
Invalidation: maxBars = , Opposite BOS = On/Off, Session End = On/Off
Fill definitions: Partial fill ≥ % of the gap; Full fill = 100%
Overlay options: Zone color/transparency, HTF label, statistics overlay On/Off
Alerts (names & triggers)
FVG Suite – First Touch: Price touches an active FVG zone for the first time.
FVG Suite – Partial Fill: Partial fill ≥ configured threshold.
FVG Suite – Full Fill: Gap completely filled.
FVG Suite – Invalidated: Zone invalidated by rules. (Alert message contains: symbol, TF of the zone, direction, score, size, trigger rule.)
Use (best practices)
Trade in the trend direction with BOS/CHOCH filter; target counter-imbalances/liquidity pools.
Use session filters to avoid news spikes/illiquid periods.
Calibrate parameters for each market/TF (ATR/volume profiles differ).
Limitations
Structure labels can be reevaluated for new highs/lows (repainting of labels, not of FVG finds).
Spreads/news can generate “pseudo fills.”
Backtests/statistics are sample-dependent; no guarantee of results.
Changelog
v1.0 – First release (score model, MTF aggregator, BOS/CHOCH filter, fill alerts).
Credits
FVG concept: public ICT/SMC literature (general idea). Implementation/scoring, MTF ranking, smart fill logic: own development.
Note/disclaimer
No financial advice. For educational purposes only. Trading involves high risk; use stop losses and a fixed risk budget.
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11
Jul 19
📊 Institutional Analyst Board – Smart Money Confluence Scanner for XAUUSD, Forex, Crypto
🔍 Overview
The Institutional Analyst Board is a complete multi-timeframe smart money toolkit designed for traders who demand clarity, confluence, and precision. It brings together institutional-grade metrics—Order Blocks (OB), Fair Value Gaps (FVG), Liquidity Sweeps, MACD/RSI bias, VWAP positioning, and Break of Structure (BoS)—into a single powerful visual dashboard.
This indicator is especially optimized for Gold (XAUUSD) but is also compatible with Crypto and Forex assets.
🧠 Key Features
✅ Multi-Timeframe Dashboard (5M / 15M / 1H)
✅ Order Block Detection with dynamic zones that extend until broken
✅ Fair Value Gap Detection with clear zone shading and border distinction
✅ MACD + RSI Confluence for momentum and bias alignment
✅ VWAP Positioning to identify premium/discount zones
✅ Liquidity Sweeps (internal/external range breaks)
✅ Killzone Highlighting (Asia / London / New York)
✅ Break of Structure (BoS) with advanced confluence filters
✅ Gold Bias Flags across timeframes (BUY / SELL / NEUTRAL)
✅ Dynamic Price Watermark with real-time data
✅ Fully customizable colors, transparencies, and text labels
🧠 How It Works
The Board uses institutional logic to analyze the chart in real time:
Metric Purpose
OB Zones Highlight potential smart money footprints where price is likely to react.
FVG Zones Identify imbalance areas between buyers and sellers—ideal for mean reversion entries.
MACD/RSI Confirm momentum direction and relative strength confluence.
VWAP Determine whether price is trading at a premium or discount.
Liquidity Sweeps Detect manipulative moves before major reversals.
BoS Mark potential trend reversals, filtered by institutional confluence.
Each signal is computed across 3 timeframes and visualized in a clean board that updates live. You’ll also see labels, alerts, and session overlays for maximum clarity.
📌 Ideal Use Case
This tool is perfect for:
Funded Challenge Traders (FTMO, MyForexFunds, etc.)
Gold scalpers and intraday traders
Crypto price action traders using BTC, ETH, SOL, etc.
Smart Money Concept (SMC) and ICT followers
⚙️ Customization Options
Toggle each module (OB, FVG, VWAP, MACD/RSI, etc.)
Set transparency and color for each zone type
Adjust Killzone timing (Asia, London, NY)
Control board position (Top/Bottom) and metric visibility
📈 Compatible Assets
✅ XAUUSD (optimized)
✅ Forex majors/minors
✅ Crypto pairs (BTC, ETH, SOL, etc.)
✅ Indices (GER40, NASDAQ, SPX with minor adaptation)
🛠️ Requirements
Use on TradingView v5
Set chart time to UTC+0 or UTC+3 for optimal Killzone accuracy
For crypto, redefine Killzone hours if needed (24/7 market)
🧠 Pro Tip
Pair this indicator with volume profile tools, CVD/Delta Flow, or Footprint overlays to build high-confidence trade setups with clear institutional confluence.
Quantum Dip Hunter | AlphaNattQuantum Dip Hunter | AlphaNatt
🎯 Overview
The Quantum Dip Hunter is an advanced technical indicator designed to identify high-probability buying opportunities when price temporarily dips below dynamic support levels. Unlike simple oversold indicators, this system uses a sophisticated quality scoring algorithm to filter out low-quality dips and highlight only the best entry points.
"Buy the dip" - but only the right dips. Not all dips are created equal.
⚡ Key Features
5 Detection Methods: Choose from Dynamic, Fibonacci, Volatility, Volume Profile, or Hybrid modes
Quality Scoring System: Each dip is scored from 0-100% based on multiple factors
Smart Filtering: Only signals above your quality threshold are displayed
Visual Effects: Glow, Pulse, and Wave animations for the support line
Risk Management: Automatic stop-loss and take-profit calculations
Real-time Statistics: Live dashboard showing current market conditions
📊 How It Works
The indicator calculates a dynamic support line using your selected method
When price dips below this line, it evaluates the dip quality
Quality score is calculated based on: trend alignment (30%), volume (20%), RSI (20%), momentum (15%), and dip depth (15%)
If the score exceeds your minimum threshold, a buy signal arrow appears
Stop-loss and take-profit levels are automatically calculated and displayed
🚀 Detection Methods Explained
Dynamic Support
Adapts to recent price action
Best for: Trending markets
Uses ATR-adjusted lowest points
Fibonacci Support
Based on 61.8% and 78.6% retracement levels
Best for: Pullbacks in strong trends
Automatically switches between fib levels
Volatility Support
Uses Bollinger Band methodology
Best for: Range-bound markets
Adapts to changing volatility
Volume Profile Support
Finds high-volume price levels
Best for: Identifying institutional support
Updates dynamically as volume accumulates
Hybrid Mode
Combines all methods for maximum accuracy
Best for: All market conditions
Takes the most conservative support level
⚙️ Key Settings
Dip Detection Engine
Detection Method: Choose your preferred support calculation
Sensitivity: Higher = more sensitive to price movements (0.5-3.0)
Lookback Period: How far back to analyze (20-200 bars)
Dip Depth %: Minimum dip size to consider (0.5-10%)
Quality Filters
Trend Filter: Only buy dips in uptrends when enabled
Minimum Dip Score: Quality threshold for signals (0-100%)
Trend Strength: Required trend score when filter is on
📈 Trading Strategies
Conservative Approach
Use Dynamic method with Trend Filter ON
Set minimum score to 80%
Risk:Reward ratio of 2:1 or higher
Best for: Swing trading
Aggressive Approach
Use Hybrid method with Trend Filter OFF
Set minimum score to 60%
Risk:Reward ratio of 1:1
Best for: Day trading
Scalping Setup
Use Volatility method
Set sensitivity to 2.0+
Focus on Target 1 only
Best for: Quick trades
🎨 Visual Customization
Color Themes:
Neon: Bright cyan/magenta for dark backgrounds
Ocean: Cool blues and teals
Solar: Warm yellows and oranges
Matrix: Classic green terminal look
Gradient: Smooth color transitions
Line Styles:
Solid: Clean, simple line
Glow: Adds depth with glow effect
Pulse: Animated breathing effect
Wave: Oscillating wave pattern
💡 Pro Tips
Start with the Trend Filter ON to avoid catching falling knives
Higher quality scores (80%+) have better win rates but fewer signals
Use Volume Profile method near major support/resistance levels
Combine with your favorite momentum indicator for confirmation
The pulse animation can help draw attention to key levels
⚠️ Important Notes
This indicator identifies potential entries, not guaranteed profits
Always use proper risk management
Works best on liquid instruments with good volume
Backtest your settings before live trading
Not financial advice - use at your own risk
📊 Statistics Panel
The live statistics panel shows:
Current detection method
Support level value
Trend direction
Distance from support
Current signal status
🤝 Support
Created by AlphaNatt
For questions or suggestions, please comment below!
Happy dip hunting! 🎯
Not financial advice, always do your own research
OI BTC Profile# 🚀 Bitcoin Open Interest Profile
## 📊 **What is this indicator?**
The **Bitcoin Open Interest Profile** is an advanced indicator developed in Pine Script v6 that visualizes the distribution of Bitcoin's Open Interest (OI) across different price levels, similar to a Volume Profile but using Open Interest data.
## 🎯 **Key Features**
### **Open Interest Analysis**
- **Dual Mode**: Visualizes both absolute OI value and net changes
- **Data Source**: Uses Open Interest data from BINANCE:BTCUSDT.P-OI
- **Configurable Lookback**: Up to 1000 historical bars for analysis
### **Professional Visualization**
- **Horizontal Profile**: Horizontal bars showing OI concentration by price level
- **Point of Control (POC)**: Automatically identifies the level with highest OI concentration
- **Rolling POC**: Option to display dynamic POC in real-time
### **Advanced Customization**
- **3 Color Schemes**:
- **OI Gradient**: Colors by Open Interest intensity
- **Bull/Bear**: Green for increases, red for decreases
- **Custom**: Customizable color
- **Adjustable Histogram**: Width, position, and orientation configurable
- **Up to 500 levels**: Ultra-high resolution for detailed analysis
## 🔧 **Configurable Parameters**
### **Basic Settings**
- `Lookback`: Number of bars to analyze (1-1000)
- `Row Size`: Profile resolution (1-500 levels)
- `Rolling POC`: Show dynamic POC
- `OI Calculation`: Absolute value or net change
### **Style Settings**
- `Width`: Histogram width (% of range)
- `Bar Width`: Bar thickness
- `Flip Histogram`: Invert orientation
- `Color Schemes`: Multiple coloring options
## 📈 **Trading Applications**
### **Support and Resistance Analysis**
- Identifies levels with highest concentration of open positions
- POC acts as a magnetic price attractor
### **Liquidity Zone Detection**
- High OI levels may indicate potential liquidation zones
- Useful for identifying stop-loss clusters
### **Sentiment Analysis**
- OI changes reveal accumulation or distribution patterns
- Difference between absolute value and net changes provides context
### **Entry Timing**
- Rolling POC can act as dynamic support/resistance
- Confluence with traditional technical analysis
## 💡 **Competitive Advantages**
### **Optimized Performance**
- Maximum 500 simultaneous lines for smooth operation
- Efficient calculations with native arrays
- Compatible with multiple timeframes
### **Total Flexibility**
- Adaptable to different trading strategies
- Granular configuration for each trader
- Overlay that doesn't interfere with price analysis
### **Institutional Data**
- Access to market-moving metrics
- Information not available in traditional indicators
- Informational advantage over retail traders
## 🚨 **Recommended Use Cases**
### **Scalping and Day Trading**
- Use high resolution (300-500 rows) with short lookback (50-100 bars)
- Rolling POC as intraday reference
### **Swing Trading**
- Medium resolution (100-200 rows) with extended lookback (200-500 bars)
- Focus on high OI levels for targets
### **Positional Analysis**
- Maximum lookback (500-1000 bars) for historical context
- Identification of accumulation/distribution zones
## 🎨 **Visual Examples**
The indicator generates a horizontal profile showing:
- **Longer bars**: Higher Open Interest concentration
- **POC (dotted line)**: Level of maximum interest
- **Color gradient**: OI intensity or bull/bear sentiment
## 🔥 **Why is it unique?**
1. **First of its kind**: Combines volume analysis with derivatives metrics
2. **Institutional precision**: Real-time Open Interest data
3. **Extreme versatility**: Adaptable to any trading style
4. **Optimized performance**: Efficient code for professional use
## 📞 **Feedback and Improvements**
Would you like to see any additional functionality? Any specific parameters for your strategy?
---
*Developed by an experienced trader for experienced traders. Compatible with Pine Script v6 and optimized for Bitcoin, but adaptable to other instruments with available OI data.*
Advanced ORB IndicatorAdvanced ORB (Opening Range Breakout) Indicator
Overview
The Advanced ORB Indicator is a sophisticated trading tool designed to capture high-probability breakout opportunities across multiple markets. By identifying the opening range of a trading session and detecting meaningful breakouts, this indicator helps traders enter trending moves with strong momentum while filtering out false signals.
Core Concept
The Opening Range Breakout strategy is based on the principle that the initial trading range of a session often defines key support and resistance levels. When price breaks convincingly beyond this range with proper confirmation, it frequently indicates the beginning of a directional move that can persist throughout the session.
Key Features
### Intelligent Market Detection
- Automatically identifies market type (US Stocks, Forex, Crypto, EU/Asia Stocks)
- Applies optimal default timings based on market characteristics
- Configurable time zones (Exchange, UTC, Local) for precise session timing
Customizable Session Settings
- Adjustable opening range duration (15-240 minutes)
- Flexible reset periods (Daily, Weekly, Monthly, or Never)
- Custom session start times to match specific market opens or pre-market periods
Advanced Signal Filtering
- Multi-factor confirmation system requiring strong candle bodies, proper wick ratios, and minimum breakout percentages
- Smart cooldown periods preventing clustered signals
- Retracement detection that resets signals after meaningful pullbacks
Quality Control Mechanisms
- Volume threshold filter for stronger conviction entries
- RSI-based filters to avoid overbought/oversold conditions
- Trend alignment validation using EMA and directional analysis
- Consecutive candle confirmation for higher reliability
Visual Clarity
- Clear high/low boundary visualization
- Comprehensive status panel showing current levels, trend status, and filter conditions
- Clean, non-repainting signal triangles at breakout points
Trading Applications
Stocks & ETFs
Perfect for capturing morning momentum after market open, especially effective on US equities where the first 30-60 minutes often set the tone for the day. Excellent for gap fills, trend continuations, and reversal confirmations.
Forex & Futures
Ideal for session-based strategies around London/New York opens, capturing institutional order flow as major players enter the market. Can be configured for H4/H1 longer-term breakouts in 24-hour markets.
Cryptocurrency
Powerful for identifying key breakout levels in volatile crypto markets, with adjustable parameters to filter out noise while catching significant moves. Especially effective during high-volume periods following consolidation.
Strategic Implementation
The indicator excels when used as part of a complete trading system. Consider these approaches:
1. Pure Momentum Strategy: Enter on signal, exit at fixed R:R or end of session
2. Trend Continuation: Only take signals in the direction of the higher timeframe trend
3. Support/Resistance Validation: Combine with key S/R levels for higher probability entries
4. Volume Profile Confirmation: Use in conjunction with volume profile to verify breakout significance
Optimization Tips
- Adjust Opening Range Duration based on market volatility (shorter for choppy markets, longer for trending)
- Increase filter requirements during uncertain market conditions
- Loosen filters during strong trending environments
- Use longer durations (120+ minutes) for swing trading setups
- Consider Weekly/Monthly reset periods for positional trading approaches
Performance Notes
The Advanced ORB Indicator is designed to produce fewer, higher-quality signals rather than frequent low-conviction entries. The multiple confirmation requirements mean you'll catch fewer false breakouts at the expense of occasionally later entries.
For best results, combine with proper risk management, position sizing, and an understanding of the broader market context.
*This indicator works on all timeframes but performs optimally on 1-minute to 15-minute charts for intraday trading and 1-hour to 4-hour charts for swing trading opportunities.*
// @version=5
indicator("Advanced ORB Indicator", overlay=true)
// ===================================================================
// SIGNAL REQUIREMENTS DOCUMENTATION
// ===================================================================
//
// BULL SIGNAL REQUIREMENTS:
// - ORB period must be completed (not in the opening range duration anymore)
// - Price must close above the ORB high (if waitForClose is enabled)
// - Candle must have a strong body (body to range ratio >= minBodyToRangeRatio)
// - Valid upper wick (upper wick to body ratio <= wickThreshold)
// - Bullish candle (close > open)
// - Consecutive candle confirmation (if enabled, requires multiple candles meeting criteria)
// - Volume filter (if enabled, volume > average volume * threshold)
// - RSI filter (if enabled, RSI must not be overbought)
// - EMA filter (if enabled, price must be above short EMA)
// - Trend filter (if enabled, must be in an uptrend)
// - Cooldown period satisfied (minimum bars between signals)
// - Not already signaled a bull breakout for this ORB (unless reset by retracement)
//
// BEAR SIGNAL REQUIREMENTS:
// - ORB period must be completed (not in the opening range duration anymore)
// - Price must close below the ORB low (if waitForClose is enabled)
// - Candle must have a strong body (body to range ratio >= minBodyToRangeRatio)
// - Valid lower wick (lower wick to body ratio <= wickThreshold)
// - Bearish candle (close < open)
// - Consecutive candle confirmation (if enabled, requires multiple candles meeting criteria)
// - Volume filter (if enabled, volume > average volume * threshold)
// - RSI filter (if enabled, RSI must not be oversold)
// - EMA filter (if enabled, price must be below short EMA)
// - Trend filter (if enabled, must be in a downtrend)
// - Cooldown period satisfied (minimum bars between signals)
// - Not already signaled a bear breakout for this ORB (unless reset by retracement)
//
// SIGNAL RESET CONDITIONS (for both bull and bear):
// - A significant price retracement happens (determined by retracePercent)
// - Cooldown period expires (minimum bars between signals)
// ===================================================================
// ===================================================================
// SETTINGS GUIDE - DETAILED EXPLANATION
// ===================================================================
//
// MARKET SETTINGS
// ---------------------------------------------------------------------
// Market Type: Select your market or use auto-detection
// - US Stocks: NYSE, NASDAQ, etc. (9:30 AM default open)
// - Forex: Currency pairs (uses midnight or London open)
// - Crypto: Digital currencies (uses midnight UTC)
// - EU Stocks: European exchanges (9:00 AM default)
// - Asia Stocks: Asian exchanges (9:00 AM default)
// - Custom: Manually set your preferred session time
//
// Auto-Detect Market Type: Automatically identifies the market from symbol
// - Enable for convenience when switching between different markets
// - Disable to manually set your preferred market type
//
// Use Market Default Timing: Applies optimal session start times for selected market
// - Enable to use proven default timings for the market
// - Disable to set custom session start times
//
// Time Zone: Sets the reference time zone for session calculations
// - Exchange: Uses the exchange's native time zone (recommended)
// - UTC: Uses Coordinated Universal Time
// - Local: Uses your local computer's time zone
//
// TIME SETTINGS
// ---------------------------------------------------------------------
// Session Start Hour/Minute: Sets when the opening range begins
// - Only active when "Use Market Default Timing" is disabled
// - US Stocks typically use 9:30 AM
// - For pre-market analysis, try 4:00 AM (US) or 8:00 AM (EU)
//
// Opening Range Duration: How long to measure the initial range (minutes)
// - 30-60 mins: Standard for daily ORB strategies
// - 15 mins: More responsive, good for volatile markets
// - 120 mins: More stable, fewer false signals
//
// Reset Period: When to calculate a new opening range
// - Daily: Most common, resets each trading day
// - Weekly: Weekly opening range breakout strategy
// - Monthly: Long-term support/resistance levels
// - Never: Continuous tracking without resetting
//
// SIGNAL QUALITY SETTINGS
// ---------------------------------------------------------------------
// Minimum Bars Between Signals: Prevents clustering of multiple signals
// - Higher values (8-10): Fewer signals, better quality
// - Lower values (3-5): More signals, requires more filtering
//
// Required Retracement % Before New Signal: How far price must pull back
// - Higher values (50-60%): Only signals after significant pullbacks
// - Lower values (20-30%): More signals, may include false breakouts
//
// Minimum Breakout % Required: Strength needed for valid breakout
// - Higher values (0.5-1.0%): Stronger confirmation, fewer false breakouts
// - Lower values (0.1-0.3%): More sensitive, good for low-volatility
//
// Minimum Body to Range Ratio %: Requires strong candles for signals
// - Higher values (70-80%): Only strong momentum candles trigger signals
// - Lower values (40-50%): More signals, includes weaker breakouts
//
// BREAKOUT SETTINGS
// ---------------------------------------------------------------------
// Max Wick to Body Ratio: Controls acceptable candle shape
// - Lower values (0.2-0.3): Only clean breakout candles
// - Higher values (0.5-0.6): More signals, includes wicks
//
// Use Close Price: Uses close instead of High/Low for breakouts
// - Enable for more reliable but delayed confirmation
// - Disable for earlier signals using High/Low prices
//
// Wait for Candle Close: Only signals after candle completes
// - Enable to avoid false breakouts (recommended)
// - Disable for earlier entry but higher risk
//
// FILTER SETTINGS
// ---------------------------------------------------------------------
// Filter Signals Based on Trend: Aligns signals with the overall trend
// - Enable to filter out counter-trend signals (recommended)
// - Disable for range-bound markets or counter-trend strategies
//
// Trend Detection Period: Lookback period for trend calculation
// - Longer periods (50-100): Identifies major trends
// - Shorter periods (20-30): More responsive to recent price action
//
// Trend Strength Threshold: How strong trend must be
// - Higher values (0.7-0.8): Only strong trends generate signals
// - Lower values (0.5-0.6): More signals in choppy markets
//
// Use Volume Filter: Requires above-average volume for signals
// - Enable for stocks and futures (recommended)
// - May disable for some forex pairs with unreliable volume data
//
// Volume Threshold: How much above average volume is required
// - Higher values (2.0-3.0x): Only significant volume spikes
// - Lower values (1.2-1.5x): More signals, less volume confirmation
//
// Use RSI Filter: Prevents signals in overbought/oversold conditions
// - Enable to avoid exhausted moves
// - Disable for strong trend following
//
// Use EMA Alignment Filter: Ensures price is in the right direction
// - Enable for trend confirmation (recommended)
// - Disable for early reversal signals
//
// Require Consecutive Candle Confirmation: Needs multiple confirming candles
// - Enable for higher quality signals
// - Disable for faster but riskier entries
//
// DISPLAY SETTINGS
// ---------------------------------------------------------------------
// Show Label with Values: Displays current ORB levels and status
// Show Range Boundaries: Displays high/low lines on chart
// High/Low Boundary Color: Customize appearance
//
// ===================================================================
// RECOMMENDED SETTINGS BY MARKET TYPE
// ===================================================================
//
// US STOCKS - STANDARD
// ---------------------------------------------------------------------
// - Market Type: US Stocks
// - Opening Range Duration: 30 minutes
// - Reset Period: Daily
// - Wait for Candle Close: Enabled
// - Use Volume Filter: Enabled (Volume Threshold: 1.5-2.0x)
// - Use Trend Filter: Enabled
// - Minimum Breakout %: 0.3-0.5%
//
// US STOCKS - EARNINGS/HIGH VOLATILITY
// ---------------------------------------------------------------------
// - Opening Range Duration: 60 minutes (more stable)
// - Minimum Breakout %: 0.7-1.0% (stronger moves required)
// - Minimum Bars Between Signals: 8-10 (avoid whipsaws)
// - Required Retracement %: 40-50% (deeper pullbacks)
// - Volume Threshold: 2.5-3.0x (higher volume confirmation)
//
// CRYPTO
// ---------------------------------------------------------------------
// - Market Type: Crypto
// - Opening Range Duration: 120 minutes (crypto needs longer)
// - Reset Period: Daily
// - Minimum Breakout %: 1.0-1.5% (higher volatility needs stronger breakouts)
// - Volume Threshold: 2.0-2.5x
// - Consider disabling RSI Filter (trending crypto often stays overbought/oversold)
//
// FOREX - MAJOR PAIRS
// ---------------------------------------------------------------------
// - Market Type: Forex
// - Session Start: Consider 8:00 AM (London open) or 5:00 PM (Asian open)
// - Opening Range Duration: 60-120 minutes
// - Min Body to Range Ratio: 50-60% (forex can have smaller bodies)
// - Consider disabling Volume Filter (unreliable on some platforms)
// - Trend Strength Threshold: 0.6-0.7 (forex tends to trend well)
//
// EU STOCKS
// ---------------------------------------------------------------------
// - Market Type: EU Stocks
// - Opening Range Duration: 60 minutes
// - Reset Period: Daily
// - Use EMA Alignment: Enabled
// - Use Volume Filter: Enabled
//
// SMALL CAP/VOLATILE STOCKS
// ---------------------------------------------------------------------
// - Opening Range Duration: 15-30 minutes (captures early moves)
// - Minimum Breakout %: 1.0-2.0% (needs stronger breakouts)
// - Volume Threshold: 3.0x (needs significant volume)
// - Max Wick to Body Ratio: 0.3 (cleaner breakouts)
// - Use Consecutive Candle Confirmation: Enabled (2-3 candles)
//
// LOW VOLATILITY ENVIRONMENT
// ---------------------------------------------------------------------
// - Opening Range Duration: 30-60 minutes
// - Minimum Breakout %: 0.2-0.3% (lower threshold for tight ranges)
// - Required Retracement %: 20-30% (smaller pullbacks)
// - Consider disabling Consecutive Candle Confirmation
//
// HIGH VOLATILITY ENVIRONMENT
// ---------------------------------------------------------------------
// - Opening Range Duration: 60-120 minutes (more stable)
// - Minimum Breakout %: 0.8-1.5% (stronger confirmation)
// - Required Retracement %: 50-60% (deeper pullbacks)
// - Minimum Bars Between Signals: 8-10 (avoid choppy signals)
// - Use Consecutive Candle Confirmation: Enabled (2-3 candles)
// ===================================================================
Whispr IQ - Trading SystemWhispr IQ - Trading System
This advanced multi-component indicator combines several powerful analysis tools to provide a comprehensive view of market conditions and potential trading opportunities.
Key Components:
Kernel Regression Ribbon
Institutional Order Flow
Volume Profile
Order Blocks
Swing Points and Liquidity
Naked POC (Point of Control)
Fibonacci Levels
Zig Zag Patterns
Divergence Scanner
Squeeze Bands
How It Works:
Kernel Regression Ribbon
Uses kernel regression to create a smoothed ribbon of price action
Multiple timeframes analyzed to show short, medium and long-term trends
Color coding indicates bullish/bearish bias
Institutional Order Flow
Identifies areas of high volume and potential institutional activity
Highlights order blocks, liquidity levels, and fair value gaps
Helps visualize potential support/resistance zones
Volume Profile
Displays volume distribution at different price levels
Identifies high volume nodes and value areas
Useful for determining potential reversal points
Order Blocks
Highlights significant swing highs/lows with high volume
Indicates potential areas where large players may have placed orders
Useful for identifying key support/resistance levels
Swing Points and Liquidity
Marks major swing highs and lows
Highlights areas of potential liquidity buildup
Helps identify trend changes and potential reversal zones
Naked POC
Shows uncovered Points of Control from volume profile analysis
Indicates areas of high trading activity that price has moved away from
Potential magnet for price to return to
Fibonacci Levels
Plots key Fibonacci retracement and extension levels
Useful for identifying potential support, resistance and targets
Multiple Fibonacci sequences used for confirmation
Zig Zag Patterns
Identifies key swing highs and lows
Filters out minor price movements
Helps visualize overall trend structure
Divergence Scanner
Scans for regular and hidden divergences on multiple indicators
Signals potential trend reversals or continuations
Configurable to scan RSI, MACD, CCI and other oscillators
Squeeze Bands
Identifies periods of low volatility (squeezes)
Signals potential for explosive moves when volatility expands
Based on Bollinger Bands and Keltner Channel relationships
The Whispr IQ system combines all these elements to provide a holistic view of market conditions. Traders can use the various signals and overlays to identify high-probability trade setups, key support/resistance levels, trend direction on multiple timeframes, and potential reversals.
This indicator is designed for experienced traders who can interpret the multiple data points and use them in conjunction with their own analysis and risk management. It's a powerful tool that can enhance trading decisions when used properly as part of a complete trading plan.
Liquidity composition / quantifytools- Overview
Liquidity composition divides each candle into sections that are used to display transaction activity at price. In simple terms, an X-ray through candle is formed, revealing the orderflow that built the candle in greater detail. Liquidity composition consists of two main components, lots and columns. Lots and columns can be used to visualize user specified volume types, currently supporting net volume and volume delta. Lots and columns can be used to visualize same or different volume types, allowing a combination of volume footprint, volume delta footprint and volume profile in one single view. Liquidity composition principally works on any chart, whether that is equities, currencies, cryptocurrencies or commodities, even charts with no volume data (in which case volatility is used to approximate transaction activity). The script also works on any timeframe, from minute charts to monthly charts. Orderflow can be observed in real-time as it develops and none of the indications are repainted.
Example: Displaying same volume types on lots and columns
Example: Displaying different volume types on lots and columns
Liquidity composition supports user specified derivative data, such as point of control(s) and net activity coloring. Derivative data can be calculated based on either net volume or volume delta, resulting in different highlights.
With net volume, volume delta and derivative data in one view, key orderflow events such as delta imbalances, high volume nodes, low volume nodes and point of controls can be used to quickly identify accumulation/distribution, imbalances, unfinished/finished auctions and trapped traders.
Accessing script 🔑
See "Author's instructions" section, found at bottom of the script page.
Key takeaways
- Liquidity composition breaks down transaction activity at price, measured in net volume or volume delta
- Developing activity can be observed real-time, none of the indications are repainted
- Transaction activity is calculated using volumes accrued in lower timeframe price movements
- Lots and columns can be used to display same or different volume types (e.g. volume delta lots and net volume columns) in single view
- Users can specify derivative data such as volume delta POCs, net volume POC and net activity coloring
- For practical guide with practical examples, see last section
Disclaimer
Orderflow data is estimated using lower timeframe price movement. While accurate and useful, it's important to note the calculations are estimations and are not based on orderbook data. Estimates are calculated by allotting volume developing on lower timeframe chart to its respective section based on closing price. Volume delta (difference between buyers/sellers) is calculated by subtracting down move volumes (sell volume) from up move volumes (buy volume). Accuracy of the orderflow estimations largely depends on quality of lower timeframe chart used for calculations, which is why this tool cannot be expected to work accurately on illiquid charts with broken data.
Liquidity composition does not provide a standalone trading strategy or financial advice. It also does not substitute knowing how to trade. Example charts and ideas shown for use cases are textbook examples under ideal conditions, not guaranteed to repeat as they are presented. Liquidity composition should be viewed as one tool providing one kind of evidence, to be used in conjunction with other means of analysis.
- Example charts
Chart #1: BTCUSDT
Chart #2: EURUSD
Chart #3: ES futures
- Calculations
By default, size of sections and lower timeframe accuracy are automatically determined for all charts and timeframes. Number of lower timeframe price moves used for calculating orderflow is kept at fixed value, by default set to 350. Accuracy value dictates how many lower timeframe candles are included in the calculation of volume at price. At 350, the script will always use 350 lower timeframe price movements in calculations (when possible). When calculated dynamic timeframe is less than 1 minute, the script switches to available seconds based timeframes. Minimum dynamic timeframe can be capped to 1 minute (as seconds based timeframes are not available for all plans) or dynamic timeframe can be overridden using an user specified timeframe.
Example: Calculating dynamic lower timeframe
Main chart: 4H / 240 minutes
Accuracy value: 100
Formula: 240 minutes / 100 = 2.4 minutes
Timeframe used for calculations = 2 minutes
Section size is automatically determined based on typical historical candle range, the bigger it is, the bigger the section size as well. Like dynamic timeframe, automatic section size can be manually overridden by user specified size expressed in ticks (minimum price unit). Users can also adjust sensitivity of automatic sizing by setting it higher (smaller sections, more detail and more noise) or lower (less sections, less detail and less noise). Section size and dynamic timeframe can be monitored via metric table.
Volume at price is calculated by allotting volume associated with a lower timeframe price movement to its respective section based on closing price (volume is stored to the section that covers closing price). When used on a chart with no volume data, volatility is used instead to determine likely magnitude of participation. Volume delta (difference between buyers/sellers) is calculated by subtracting down move volumes (sell volume) from up move volumes (buy volume). Volumes accrued in sections are monitored over a longer period of time to determine a "normal" amount of activity, which is then used to normalize accrued volumes by benchmarking them against historical values.
Volume values displayed on the left side represent how close or far volume traded at given section is to an extreme, represented by value of 10 . The more value exceeds 10, the more extreme transaction activity is historically. The lesser the value, the less extreme (and therefore more typical) transaction activity is. Users can adjust sensitivity of volume extreme threshold, either by increasing it (more transaction activity is needed to constitute an extreme) or decreasing it (less transaction activity is needed to constitute an extreme).
Example: Interpreting volume scale
0 = Very little to no transaction activity compared to historical values
5 = Transaction activity equal to average historical values
10 = Transaction activity equal to an extreme in historical values
10+ = The more transaction activity exceeds value of 10, the more extreme it is historically
Accuracy of orderflow data largely depends on quality of lower timeframe data used in calculations. Sometimes quality of underlying lower timeframe data is insufficient due to suboptimal accuracy or broken lower timeframe data, usually caused by illiquid charts with gaps and inconsistent values. Therefore, one should always ensure the usage of most liquid chart available with no gaps in lower timeframe data. To combat poor orderflow data, a simple data quality check is conducted by calculating percentage of sections with volume data out of all available sections. Idea behind the test is to capture instances where unusual amount of sections are completely empty, most likely due to data gaps in LTF chart. E.g. 90% of sections hold some volume data, 10% are completely empty = 90% data quality score.
Data quality score should be viewed as a metric alerting when detail of underlying data is insufficient to consider accurate. When data quality score is slightly below threshold, lower timeframe chart used for calculations is likely fine, but accuracy value is too low. In this case, one should increase accuracy value or manually override used timeframe with a smaller one. When data quality score is well below threshold, lower timeframe chart used for calculations is likely broken and cannot be fixed. In this case, one should look for alternative charts with more reliable data (e.g. ES1! -> SPY, BITSTAMP:BTCUSD -> BINANCE:BTCUSDT).
Example : When insufficient data quality scores can/cannot be fixed
- Derivative data
Point of control
Point of control, referring to point in price where transaction activity is highest, can be calculated based on the volume type of lots or columns (based on net volume or volume delta). Depending on the calculation basis, displayed point of controls will vary. POC calculated based on net volume is no different from traditional POC, it is simply the section with highest amount of transaction activity, marked with an X. When calculating POC based on volume delta, the script will highlight two point of controls, named leading and losing point of control . Leading POC refers to lot with highest amount of volume delta, marked with an X. If leading POC was net buy volume, losing POC is marked on section with highest net sell volume, marked with S respectfully. Same logic applies in vice versa, if leading POC is net sell volume, losing POC is marked on highest buy volume section, using the letter B.
Net activity
Similarly to point of control calculation, net activity can be calculated based on either volume types, lots or columns. When calculating net activity based on net volume, candles will be colorized according to magnitude of total volume traded. When calculating net activity based on volume delta, candles will be colorized according to side with most volume traded (buyers or sellers). Net activity color can be applied on borders or body of a candle.
- Visuals
Lots, columns, candles and POCs can be colorized using a fixed color or a volume based dynamic color, with separate color options for buy side volume, sell side volume and net volume.
Metric table can be offsetted horizontally or vertically from any four corners of the chart, allowing space for tables from other scripts.
Table sizes, label sizes and offsets for visuals are fully customizable using settings menu.
- Practical guide
OHLC data (candles) is a simple condensed visualization of an auction market process. Candles show where price was in the beginning of an auction period (timeframe), the highest/lowest point and where price was at the end of an auction. The core utility of Liquidity composition is being able to view the same auction market process in much greater detail, revealing likely intention, effort and magnitude driving the process. All basic orderflow concepts, such as ones presented by auction market theory can be applied to Liquidity composition as well.
The most obvious and easy to spot use case for orderflow tools is identifying trapped traders/absorption, seen in high transaction activity at the very highs/lows of a candle or even better, at wicks. High participation at wicks can be used to identify forced orders absorbed into limit orders, idea behind being that when high transaction activity is placed at a wick, price went one direction with a lot of participation (high effort) and came right back up (low impact) within the same time period.
Absorption can show itself in many ways:
- Extreme buy volume sections at wick highs or buy side POC at wick highs
- Multiple, clustered high buy volume sections (but not extreme) at wick highs
- Positive net volume delta into a reversal down
- Extreme sell volume sections at wick lows or sell side POC at wick lows
- Multiple, clustered high sell volume sections (but not extreme) at wick lows
- Negative net volume delta into a reversal up
- Extreme net volume sections at or net volume POC at wick highs/lows
- Extreme net volume into a reversal up/down
For accurate analysis, orderflow based events should be viewed in the context of price action. To identify absorption, it's best to look for opportunities where an opposing trend is clearly in place, e.g. absorption into highs on an uptrend, absorption into lows on a downtrend. When price is ranging without a clear trend or there's no opposing trend, extreme activity at an extreme end of a candle might be aggressive participants attempting to initiate a new trend, rather than getting absorbed in the same sense. With enough effort put into pushing price to the opposite direction at overextended price, a shift in trend direction might be near.
Price action based levels are a great way to get context around orderflow events. Simple range highs/lows as a single data point serve as a high probability regimes for reversals, making them a great point of confluence for identifying trapped traders.
Low to zero volume sections can be used to identify points in price with little to no trading, leaving a volume null/void behind. Typically sections like these represent gaps on a lower timeframe chart, which can be used as reference levels for targets and support/resistance.
Net volume can be used for same purposes as above, but for determining general intention of market participants it's a much more suitable tool than volume delta. According to auction market theory, low/no participation is considered to reject prices and high participation is considered to accept prices. With this concept in mind, unfinished auctions occur when participation is high at highs or high at lows, idea behind being that participants are showing willingness and interest to trade at higher or lower prices. Auction is considered finished when the opposite is true, i.e. when participants are not showing willingness to trade at higher/lower prices. In general, direction of unfinished auctions can be expected to continue shortly and direction of unfinished auctions can be expected to hold.
While shape of volume delta and net volume are usually similar, they're not the same thing and do not represent the same event under the hood. Volume delta at 0 does not necessarily mean participation is 0, but can also mean high participation with equal amount of buying and selling. With this distinction in mind, using volume delta and net volume in tandem has the benefit of being able to identify points in price with a lot of up and down price movement packed into a small area, i.e. consolidation. Points in price where price hangs around for an extended period of time can be used to identify levels of interest for re-tests and breakout opportunities.
.srb suiteThe essential suite Indicator.
that are well integrated to ensure visibility of essential items for trading.
it is very cumbersome to put symbol in the Tradingview chart and combine essential individual indicators one by one.
Moreover even with such a combination, the chart is messy and visibility is not good.
This is because each indicator is not designed with the others in mind.
This suite was developed as a composite-solution to that situation, and will make you happy.
designed to work in the same pane with open-source indicator by default.
Recommended visual order ; Back = .srb suite, Front = .srb suite vol & info
individually turn on/off only what you need on the screen.
BTC-agg. Volume
4 BTC-spot & 4 BTC-PERP volume aggregated.
It might helps you don't miss out on important volume flows.
Weighted to spot trading volume when using PERP+spot volume .
If enabled, BTC-agg.Vol automatically applied when selecting BTC-pair.
--> This is used in calculations involving volumes, such as VWAP.
Moving Average
1 x JMA trend ribbon ; Accurately follow short-term trend changes.
3 x EMA ribbon ; zone , not the line.
MA extension line ; It provide high visibility to recognize the direction of the MA.
SPECIAL TOOLS
VWAP with Standard Deviation Bands
VWAP ruler
BB regular (Dev. 2.0, 2.5)
BB Extented (Dev. 2.5, 3.0, 3.5)
Fixed Range Volume Profile ; steamlined one, performace tuned & update.
SPECIAL TOOLS - Auto Fibonacci Retracement - New GUI
'built-in auto FBR ' has been re-born
It shows - retracement Max top/ min bottom ; for higher visibility
It shows - current retracement position ; for higher visibility
The display of the Fib position that exceeds the regular range is auto-determined according to the price.
tradingview | chart setting > Appearance > Top margin 0%, Bottom margin 0% for optimized screen usage
tradingview | chart setting > Appearance > Right margin 57
.srb suite vol & info --> Visual Order > Bring to Front
.srb suite vol & info --> Pin to scale > No scale (Full-screen)
Visual order ; Back = .srb suite, Front = .srb suite vol & info
1. Fib.Retracement core is from tradingview built-in FBR ---> upgrade new-type GUI, and performance tuned.
2. Fixed-range volume-profile core is from the open-source one ---> some update & perf.tuned.
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if you have any questions freely contact to me by message on tradingview.
but please understand that responses may be quite late.
Special thanks to all of contributors of community.
The script may be freely distributed under the MIT license.
VPLineVPLine is a brand-new line indicator which automatically draws historical POC line with volume profile histograms based on user input session and configurations.
A colossal amount of function is deployed on the indicator: historical POC line, historical VA, historical VA high/low, volume profile histograms, volume profile value text (bid/ask/total), threshold function that limits the extension of the POC line based on user input etc.
VPoC per barThis study prints the current bar VPoC as an horizontal line.
It's aimed originally at BTCUSDT pair and 15m timeframe.
HOW IT WORKS
Zoom In mode: This is the default mode.
The study zooms in into the latest 15 1-minute bar candles in order to calculate the 15 minute candle VPoC.
Zoom Out mode: The VPoC from the last n bars from the current timeframe that match desired timeframe is shown on each bar.
In either case you are recommended to click on the '...' button associated to this study
and select 'Visual Order. Bring to Front.' so that it's properly shown in your chart.
HOW IT WORKS - Zoom In mode
Make sure that '(VP) Zoom into the VP timeframe' setting is set to true.
Choose the zoomed in timeframe where to calculate VPoC from thanks to the '(VP) Zoomed timeframe {1 minute}' setting.
Change '(VP) Zoomed in timeframe bars per current timeframe bar {15}' to its appropiated value. You just need to divide the current timeframe minutes per the zoomed in timeframe minutes per bar. E.g. If you are in 60 minute timeframe and you want to zoom in into 5 minute timeframe: 60 / 5 = 12 . You will write 12 here.
HOW IT WORKS - Zoom Out mode
Make sure that '(VP) Zoom into the VP timeframe' setting is set to false.
If you are using the Zoom out mode you might want to set '(VP) Print VPoC price as discrete lines {True}' to false.
Either choose the zoommed out timeframe where to calculate VPoC from thanks to the '(VP) Zoomed timeframe {1 minute}' setting or turn on the '(VP) Use number of bars (not VP timeframe)' setting in order to use '(VP) Number of bars {100}' as a custom number of bars.
WARNING - Zoom In mode last bar
The way that PineScript handles security function in last bar might result on the last bar not being accurate enough.
SETTINGS
__ SETTINGS - Volume Profile
(VP) Zoomed timeframe {1 minute}: Timeframe in which to zoom in or zoom out to calculate an accurate VPoC for the current timeframe.
(VP) Zoomed in timeframe bars per current timeframe bar {15}: Check 'HOW IT WORKS - Zoom In mode' above. Note : It is only used in 'Zoom in' mode.
(VP) Number of bars {100}: If 'Use number of bars (not VP timeframe)' is turned on this setting is used to calculate session VPoC. Note : It is only used in 'Zoom out' mode.
(VP) Price levels {24}: Price levels for calculating VPoC.
__ SETTINGS - MAIN TURN ON/OFF OPTIONS
(VP) Print VPoC price {True}: Show VPoC price
(VP) Zoom into the VP timeframe: When set to true the VPoC is calculated by zooming into the lower timeframe. When set to false a higher timeframe (or number of bars) is used.
(VP) Realtime Zoom in (Beta): Enable real time zoom for the last bar. It's beta because it would only work with zoomed in timeframe under 60 minutes. And when ratio between zoomout and zoomin is less than 60. Note : It is only used in 'Zoom in' mode.
(VP) Use number of bars (not VP timeframe): Uses 'Number of bars {100}' setting instead of 'Volume Profile timeframe' setting for calculating session VPoC. Note : It is only used in 'Zoom out' mode.
(VP) Print VPoC price as discrete lines {True}: When set to true the VPoC is shown as an small line in the center of each bar. When set to the false the VPoC line is printed as a normal line.
__ SETTINGS - EXTRA
(VP) VPoC color: Change the VPoC color
(VP) VPoC line width {1}: Change VPoC line width (in pixels).
(VP) Use number of bars (not VP timeframe): Uses 'Number of bars {100}' setting instead of 'Volume Profile timeframe' setting for calculating session VPoC. Note : It is only used in 'Zoom out' mode.
(VP) Print VPoC price as discrete lines {True}: When set to true the VPoC is shown as an small line in the center of each bar. When set to the false the VPoC line is printed as a normal line.
CREDITS
I have reused and adapted some code from
"Poor man's volume profile" study
which it's from TradingView IldarAkhmetgaleev user.
Volume+ (RVOL By Time of Day)This script is an enhanced volume indicator.
It calculates relative volume (RVOL) based on the average volume at that time of day (rather than using a moving average).
For example, using this indicator you can see today’s volume during the first 5-minute candle of the market open compared to the previous day’s volume at the market open. Or you can see today’s volume at the market close during the last 15-minute candle compared to the average of the past 20 days of volume at the market close.
Due to the different quantity of candlesticks in a session between Stocks and Forex/Crypto, I separated those markets into separate settings, making this an all-in-one volume indicator that works on all markets.
Settings:
Stocks
If you set the lookback period to 1 on the 5-minute chart and look at the 9:30am candle for a stock, then the current volume bar will show you what today’s volume is compared to yesterday’s 9:30am 5-minute candle.
If you set the lookback period to 15, then the current volume bar will show you what today’s volume is compared to the average of the last 15 days of 9:30am 5-minute candles.
Max Lookback: 64 Sessions
Stocks
This setting is for traders who want to use this indicator on a timeframe lower than the 5-minute chart.
Due to limitations in how many historical bars PineScript can reference, referencing 1-minute and 3-minute bars requires a lot more historical data so I separated the two to allow the 5-minute+ timeframes to have a longer lookback period.
Max Lookback: 12 Sessions
Forex/Crypto
When you set the script to Forex/Crypto, it does the same thing for stocks but calculates based on a 24-hour period.
So if you set the lookback period to 1 on the 1-hour chart and look at the 11:00am candle for a currency pair, then the current volume bar will show you what today’s volume is compared to yesterday’s 11:00am 1-hour candle.
If you set the lookback period to 10, then the current volume bar will show you what today’s volume is compared to the average of the last 10 days of 11:00am 1-hour candles.
Max Lookback: 17 Sessions
What Doesn’t It Work On?
Because I had to manually calculate how many volume candles to look back per timeframe to get the previous session’s candle, I had to hard-code the math in this script.
That means that this indicator will only work on 1m, 3m, 5m, 15m, 30m, 45m, 1h, 2h, 3h, 4h, Daily and Weekly timeframes. If you try to use it on any other timeframe it will revert to a regular volume indicator.
Why Is It Useful?
Similar to volume profile by price, this gives you a volume profile by time in a way that the default volume indicator does not.
For example, you can use this to determine when a stock has a particularly strong opening drive, or when a currency pair has a weak fake-out leading up to the London open, or for general confirmation on trading signals with time-specific volume information to work with.
Colors
The purple line and the faint gray bar is the RVOL value.
The blue number is the percentage of the current volume bar relative to RVOL.
There are four different bar color settings:
Heatmap – Changes color to be brighter based on higher RVOL
Price – Changes color based on price action (like the default TradingView volume indicator)
Traffic – Changes color based on RVOL percentages (for fast visual cues)
Trigger – Changes color only when the specified alert conditions are met
Heatmap:
Traffic:
Trigger:
Price:
Heatmap:
Turns very bright green at 2.0 RVOL
Turns light green at 1.0 RVOL
Turns normal green at 0.75 RVOL
Turns medium green at 0.5 RVOL
Turns very dark green at 0.25 RVOL
Is gray otherwise.
Price:
Turns red if the price action candle closed bearish.
Turns green if the price action candle closed bullish.
Traffic:
Turns red if RVOL is between 1.0 and 1.5.
Turns orange if RVOL is between 1.5 and 2.0.
Turns dark green if RVOL is between 2.0 and 3.0.
Turns bright green if RVOL is above 3.0.
Is gray otherwise.
Trigger:
Turns teal if any of the given alert conditions in the user settings are met.
Alerts
Alerts are optional. You have to set them like any other indicator, by creating a new alert and selecting this indicator.
If you leave the "Alert At RVOL %" setting at 0, then alerts will only be triggered if the current candle exceeds the 1.0 (100%) RVOL level.
If you change the "Alert At RVOL %" setting then alerts will be triggered if the RVOL percentage (blue number) exceeds your given value. The blue number is a percentage of the average, so if it’s at 0.5, then it’s 50% of the average.
Notes
- This indicator only works with regular time bars. It will not work with range, tick, renko etc.
- This script has lookback limitations due to restrictions on how many historical bars PineScript can reference. The lookback limit varies based on the market type you choose. The more bars required for calculation the lower the lookback limit.
- If you use it on the Daily timeframe the lookback period will count as 1 week. If you use it on the Weekly timeframe the lookback period will count as 1 month. So a Lookback of 3 on the Daily would be 3 weeks of averages, a Lookback of 5 on the Weekly would be 5 months of averages (for that Day of Week or Week number).
- Big thanks to @tb12345 for the idea and for helping to field-testing the indicator!
Volume Squeeze Momentum by HypesterTradingview is basically composed by reskins of many great contributors such as Chrismood, Lazybear, RicardoSandos and a few others. Without those guys I would not be able to learn how to code PINE - since the "documentation" is horrible and support is basically also non-existent. So thank you!
So here is another contribution to the community, which I chose to not disclose the code since the community usually reskin the code and do not give credit and this code is 100% mine.
I believe that the volume tools available are poor and lagging so here is my contribution.
I use this tool to filter noise and eliminate fake reversal signals, momentum readings and trend changes on my Spectro M. Use at your own risk.
I've added some pre-set volume profiles and trend configs. Also, the bar colors for ease of use, and all of that can be easily turned on/off and changed in the config menu.
Let me know what you think!
Relative Volume - VPA / VSA / Better VolumeVolume is important.
Volume is VERY important.
But all the existing methods of volume analysis and order flow analysis fall into the same trap: they're all extremely complicated, hard to learn, and difficult for the human brain to distill down to an actual, tradable signal.
The Relative Volume Gradient Paintbars indicator seeks to address this issue by reducing and simplifying concepts from Volume Price Analaysis (VPA), Volume Spread Analysis (VSA), and Market Profile / Volume Profile into a single indication with varying levels of intensity. Rather than adding more complex symbology and cluttering up your charts with arrows and signals and lines as many volume indicators do, relative volume intuitively takes advantage of the dimension of color, and plays to your brain's automatic recognition of color intensity to highlight areas of interest on a chart where large volumes are being traded. These areas can in turn point out levels of support and resistance, or show strength in a move, exposing the actions of larger market participants that are behind a move.
The Relative Volume indicator can calculate based on a time-segmented / time-based / bar-specific average of volume, adjusting for some of the typical spikes in volume that happen at the beginning and end of a trading day; Or it can be calculated based on any length and type of moving average of volume that is desired: simple, exponential, weighted, Wilders, price-weighted, Hull, or TEMA.
This indicator does more than just normal relative share volume. It can also do relative volume-per-range. The idea behind this setting is that when more volume is being traded but very little movement is happening, this can indicate substantial support or resistance, where a lot of trades are likely being absorbed by larger operators. You can choose your own range calculation for this setting, whether you prefer True Range, high-low range, candle body range, close to close range, or any of several other custom settings.
Moreover, the levels or thresholds at which the color intensity changes are completely user-controlled, so you can adjust them upward to tune out more noise, or downward to increase the level of sensitivity. In addition, all of the colors for each of the thresholds are completely user-controlled.
We hope to see TradingView add support for Richard Arms' CandleVolume or Equivolume before too long, as well as Tick Volume or Trade Count Volume data, all of which can add a lot of power to this method of trading.
Buyer/Seller DominanceBuyer/Seller Dominance Indicator
The Buyer/Seller Dominance indicator is a sophisticated market analysis tool that combines Market Profile methodology with volume analysis to identify which side of the market is in control. It analyzes price distribution across a higher timeframe by calculating the Point of Control (POC) and Value Area, then evaluates where the current price sits relative to these key levels. The indicator processes Time Price Opportunity (TPO) data across 20 price channels to build a comprehensive volume profile of each trading session.
The dominance score is calculated using multiple factors including price position relative to POC, Value Area boundaries, volume imbalance between upper and lower profile sections, price momentum, and volume trends. This multi-factor approach provides a robust measure of market sentiment, smoothed using an EMA to filter out noise. The resulting dominance histogram visually represents whether buyers (positive values) or sellers (negative values) are controlling the market.
The indicator generates clear buy and sell signals when dominance crosses key threshold levels, with additional visual aids including background coloring to show market state (buyer/seller/neutral), overbought/oversold levels at ±50, and an information table displaying current market conditions. It's fully customizable with adjustable timeframes, sensitivity settings, Value Area percentages, and color schemes to suit different trading styles and preferences.RetryClaude can make mistakes. Please double-check responses.
Multi-Factor Crypto SignalsMulti-Factor Crypto Signals - Advanced Technical Indicator**
📊 **General Description**
The Multi-Factor Crypto Signals is an advanced technical indicator designed specifically for cryptocurrency analysis. This system combines 6 independent technical factors to generate more accurate and reliable buy and sell signals, significantly reducing the false positives common in simpler indicators.
🎯 **Technical Methodology**
**Theoretical Foundation**
This indicator is built on the principles of multi-factor technical analysis, where multiple independent indicators must align before generating a signal. This approach is widely recognized in financial literature as more effective than standalone indicators.
**Analyzed Factors**
1. **Time Momentum Oscillator (TMO)**
- **Function**: Detects overbought and oversold conditions
- **Calculation**: Based on the sum of price movements relative to the previous period
- **Application**: Identifies potential reversal points
- **Settings**: Length (14), Calculation Period (5), Smoothing (3)
2. **Customized MACD**
- **Function**: Analyzes momentum and trend changes
- **Modifications**: Optimized periods for crypto (8, 21, 5)
- **Application**: Detects bullish/bearish crossovers and histogram momentum
- **Advantage**: More responsive than traditional MACD (12, 26, 9)
3. **Volume Analysis**
- **Function**: Confirms the strength of price movements
- **Method**: Current volume vs. moving average with a multiplier
- **Application**: Filters signals without volume support
- **Settings**: MA Period (20), Multiplier (1.5)
4. **DXY Filter (U.S. Dollar Index)**
- **Function**: Considers the strength/weakness of the U.S. dollar
- **Correlation**: Weak DXY → bullish for crypto / Strong DXY → bearish for crypto
- **Data**: Uses TVC:DXY as the source
- **Settings**: 21-period EMA to determine trend
5. **Stochastic RSI**
- **Function**: A more sensitive version of RSI for reversals
- **Advantage**: Anticipates movements before traditional RSI
- **Levels**: Oversold < 20, Overbought > 80
- **Settings**: %K (14), %D (3)
6. **Precision Indicators**
- **Williams %R**: Momentum in volatile markets (-80/-20)
- **Money Flow Index (MFI)**: RSI with volume incorporation (20/80)
- **Bollinger Bands**: Price extremes with reversal (20, 2.0)
⚙️ **Settings and Parameters**
**Basic Settings**
- **TMO Length**: 14 (periods for TMO calculation)
- **TMO Calc Length**: 5 (periods for momentum)
- **TMO Smoothing**: 3 (line smoothing)
- **TMO Overbought/Oversold**: 6/-6 (entry levels)
**MACD Settings**
- **Fast Length**: 8 (fast EMA)
- **Slow Length**: 21 (slow EMA)
- **Signal Length**: 5 (signal line)
**Volume Settings**
- **Volume MA Length**: 20 (volume moving average)
- **High Volume Threshold**: 1.5 (multiplier for high volume)
**DXY Settings**
- **Use DXY Filter**: true/false (enable/disable filter)
- **DXY EMA Length**: 21 (EMA periods)
**Precision Settings**
- **Stochastic %K**: 14 (stochastic period)
- **Williams %R Length**: 14 (Williams period)
- **MFI Length**: 14 (MFI period)
- **BB Length/Multiplier**: 20/2.0 (Bollinger Bands)
**Main Setting**
- **Minimum Factors Required**: 3-6 (minimum factors to generate a signal)
🎨 **Visual Interpretation**
**Main Signals**
- 🚀 **Strong Buy (Large Green Arrow)**: 5+ factors aligned for a buy
- 🟢 **Buy Signal (Normal Green Arrow)**: 3-4 factors aligned for a buy
- 💥 **Strong Sell (Large Red Arrow)**: 5+ factors aligned for a sell
- 🔴 **Sell Signal (Normal Red Arrow)**: 3-4 factors aligned for a sell
**Warning Signals**
- ⚠️ **Yellow Triangle**: 2 bullish factors (approaching a buy signal)
- ⚠️ **Orange Triangle**: 2 bearish factors (approaching a sell signal)
📈 **How to Use**
**Step 1: Initial Setup**
- Add the indicator to the chart
- Adjust "Minimum Factors Required" (recommended: 3 for beginners, 4-5 for experienced traders)
- Configure periods based on your trading style
**Step 2: Signal Interpretation**
- **Strong Signals**: Wait for large arrows (5+ factors) for higher reliability
- **Normal Signals**: Normal arrows (3-4 factors) for frequent opportunities
- **Confirmation**: Check the status table to see which factors are active
**Step 3: Risk Management**
- **Stop Loss**: Place stops below/above supports/resistances
- **Take Profit**: Use Fibonacci levels or technical resistances
- **Timeframes**: Test across multiple timeframes for confirmation
**Recommended Settings by Profile**
- **Conservative Trader**:
- Minimum Factors: 4-5
- Use DXY Filter: true
- Use Volume Confirmation: true
- **Aggressive Trader**:
- Minimum Factors: 3
- Shorter indicator periods
- Focus on higher-frequency signals
- **Scalper**:
- TMO shorter periods (10, 3, 2)
- Faster MACD (5, 13, 3)
- Timeframes: 1m, 5m, 15m
🔔 **Available Alerts**
- 🟢 **Multi-Factor Buy**: Normal buy signal
- 🔴 **Multi-Factor Sell**: Normal sell signal
- 🚀 **Strong Buy**: Strong buy signal (5+ factors)
- 💥 **Strong Sell**: Strong sell signal (5+ factors)
Usage Recommendations**
- **Combine with Fundamental Analysis**: Use as a complement, not a standalone tool
- **Test in Paper Trading**: Practice before using real capital
- **Adjust Parameters**: Optimize for specific assets and timeframes
- **Risk Management**: Always use stops and size positions appropriately
📚 **Scientific Basis and References**
**Academic Foundation**
- **Multi-Factor Technical Analysis**: Based on studies by Murphy (1999) and Pring (2002)
- **Momentum Oscillators**: Grounded in Wilder (1978) and Lane (1984)
- **Confirmation Theory**: Dow Theory and convergence/divergence principles
- **Volume Analysis**: Concepts from Granville (1963) and Williams (1973)
**Implemented Innovations**
- **Crypto-Specific Combination**: Parameters optimized for high volatility
- **DXY Filter**: Incorporates crypto-dollar inverse correlation
- **Scoring System**: Quantitative approach to reduce subjectivity
- **Advanced Visual Interface**: Real-time feedback on factor status
💡 **Advanced Tips**
**Market Optimization**
- **Bitcoin/Ethereum**: Use default settings
- **Low-Cap Altcoins**: Increase sensitivity (shorter periods)
- **Stablecoins**: Not recommended (low volatility)
**Combination with Other Indicators**
- **Supports/Resistances**: Use for entry/exit timing
- **Moving Averages**: Combine with long-term trend
- **Volume Profile**: Confirm with high-activity levels
**Backtesting**
- Test in periods of high and low volatility
- Compare performance across different timeframes
- Adjust parameters based on historical results
VHX EMA 135/315📈 EMA 135/315 Cross Strategy – Your Trend Compass with Smart Confirmations
🔍 Core Idea
The EMA 135/315 Cross strategy is a trend-following system.
It tracks two moving averages:
EMA 135 → the “fast” line that reacts to short-term price moves
EMA 315 → the “slow” line that reacts to the bigger trend
When the fast EMA crosses above the slow EMA → market momentum is turning up → BUY signal 🟢
When the fast EMA crosses below the slow EMA → momentum is turning down → SELL signal 🔴
This gives you a clear entry trigger — no guessing, no overcomplication.
✨ On Your Chart
BUY/SELL Arrows
🟢 Green arrow = bullish cross → trend turning up
🔴 Red arrow = bearish cross → trend turning down
Trend Info Panel (Top Left)
Current Trend: BUY / SELL / Neutral
Last Cross: how many bars ago it happened
EMA Gap in %: measures the strength of the trend
Status: “Approaching” if EMAs are getting close → possible cross soon
Automatic TP/SL Levels
📈 TP line (+2% from entry)
📉 SL line (–0.5% from entry)
Saves time — you instantly see your target and protection
EMA Distance Meter
Big % gap = strong trend momentum 🚀
Small % gap = weak or sideways market ⚠️
Real-Time Alerts
You get notified when a cross happens, even if you’re away from the screen
🧠 The Logic Behind It
The EMA 135 reacts faster → it reflects short-term momentum
The EMA 315 moves slower → it reflects the main trend
When the fast EMA overtakes the slow EMA: short-term strength now aligns with the long-term trend → higher probability of a sustained move
The gap % tells you how strong the alignment is — large gap = cleaner moves, small gap = market in transition
“Approaching” status warns that the EMAs are converging, which often happens before a reversal
📊 Boosting the Strategy with Volume Analysis
The EMA cross is a strong trigger, but volume confirms the quality of the move:
High Volume + Cross → more reliable signal, as strong market participation is pushing the trend
Low Volume + Cross → caution, the move might be weak or a false breakout
💡 Tip:
Check the volume histogram or a volume-based indicator (e.g., Volume Profile, OBV).
On a BUY signal: volume should spike above the recent average.
On a SELL signal: watch for strong selling volume bars.
📍 Adding Support & Resistance for Precision
Support and resistance levels help filter out bad trades and optimize entries:
Best BUY setups:
EMA 135 crosses above EMA 315 near a known support zone
Bonus if volume confirms the move
Avoid buying directly into a strong resistance
Best SELL setups:
EMA 135 crosses below EMA 315 near a known resistance zone
Bonus if selling volume is strong
Avoid selling directly into a major support
💡 Use tools like horizontal lines, previous highs/lows, and Volume Profile nodes to spot these zones.
📈 Best Usage Practices
Timeframes
Lower timeframes (1m–5m) → more signals, but more noise → best for scalping with extra filters
Always Combine With Confirmation
EMA Cross = Trigger
Volume spike = Confirmation
S/R zone in your favor = High-probability setup
Manage Risk
Start with the built-in TP/SL
Adjust SL if volatility is higher than usual
Consider trailing stop once price moves in your favor
Avoid Sideways Markets
If EMA gap % is very small and crosses happen often → stand aside until a clear direction forms
Use Alerts
Set alerts for BUY & SELL crosses so you never miss a setup
In short:
This isn’t just an EMA cross indicator — it’s a trend system with built-in risk management, strength measurement, and pre-trade preparation. Combine it with volume confirmation and smart use of support/resistance, and you turn a simple signal into a high-probability trading edge.
Supply & Demand Pro [Institutional]🎯 Overview
The most comprehensive Supply & Demand indicator on TradingView, designed for serious traders and prop firm professionals. Unlike traditional S&D indicators that just draw pretty zones, this system tracks actual performance metrics, provides entry/exit signals, and includes professional risk management tools.
❓ Why This Indicator?
After extensive research into what traders actually need (not just want), this indicator addresses the TOP complaints about Supply & Demand trading:
- ❌ "I don't know which zones to trust" → ✅ Each zone shows historical win rate
- ❌ "No clear entry/exit rules" → ✅ Multiple entry methods with visual R:R
- ❌ "Can't backtest effectiveness" → ✅ Full performance tracking
- ❌ "Too many false signals" → ✅ Quality filters and volume validation
🚀 Key Features
🎯 Professional Zone Detection
- Volume Profile Analysis (finds institutional accumulation/distribution)
- Swing Point Detection (classic pivot-based zones)
- Order Flow Analysis (coming in v2)
- Hybrid Mode (combines multiple methods)
📊 Performance Analytics
- Individual zone win rates
- Daily P&L tracking
- Account balance simulation
- Success/failure ratio for each zone
- Historical performance data
💼 Prop Firm Tools
- Daily loss limits (auto-stops trading)
- Position sizing controls
- Maximum concurrent positions
- Daily profit targets
- Clean reporting for evaluations
🎨 Entry & Risk Management
- Zone Edge entry (immediate)
- 50% Retracement entry (patient)
- Momentum Confirmation entry
- Visual Risk:Reward boxes
- Multiple stop loss methods (ATR, Fixed %, Zone-based)
📈 Advanced Features
- Auto-removes failed zones
- Volume confirmation requirements
- Strength-based zone ranking
- Smart alerts for high-probability setups
- Multi-timeframe compatibility
📋 How It Works
1. Zone Creation: Continuously scans for high-quality supply/demand zones using your selected method
2. Quality Filtering: Each zone must pass strength, volume, and historical performance filters
3. Visual Feedback: Zones display strength %, test count, and win rate directly on chart
4. Trade Signals: When price touches a zone, the system calculates entry, stop, and target
5. Performance Tracking: Every zone touch is tracked to build historical win rates
⚙️ Quick Settings Guide
For Beginners:
- Detection Method: "Swing Points"
- Min Zone Strength: 15%
- Risk:Reward: 2:1
- Entry Method: "Zone Edge"
For Advanced Traders:
- Detection Method: "Volume Profile"
- Min Zone Strength: 20%
- Min Win Rate: 50%
- Entry Method: "Momentum Confirm"
For Prop Firm Traders:
- Enable all Prop Firm Tools
- Set Daily Loss Limit to your drawdown rules
- Max Positions: 2-3
- Use "Professional" theme for screenshots
📊 What Makes This Different?
Traditional S&D Indicators:
- Draw zones based on one method
- No performance tracking
- No entry/exit rules
- Can't verify effectiveness
Supply & Demand Pro:
- Multiple detection methods
- Tracks win rate for EVERY zone
- Clear entry/exit signals
- Full backtesting capability
- Risk management built-in
🎓 Best Practices
1. Start Conservative: Use higher strength requirements (20%+) until familiar
2. Trust the Data: Zones with 3+ tests and 60%+ win rate are golden
3. Respect Risk Limits: The daily loss limit feature will save your account
4. Volume Matters: Zones with volume confirmation are significantly stronger
5. Be Patient: Wait for high-probability setups (check the win rate!)
🔔 Alert Options
- Zone Touch Alerts (with strength & win rate)
- High Probability Setups (60%+ win rate zones)
- Daily Limit Warnings
- Risk Management Alerts
💡 Pro Tips
- Combine with market structure for best results
- Higher timeframe zones are more reliable
- Watch for zones that align with round numbers
- Use partial profits feature to lock in gains
- Review daily performance to improve
🐛 Troubleshooting
- No zones appearing? → Lower Min Zone Strength to 10%
- Too many zones? → Increase strength requirement or enable filters
- Win rates not updating? → Zones need multiple tests to calculate
⚡ Performance Note
This indicator uses advanced calculations and may take a moment to load on lower-end devices. The comprehensive analytics are worth the wait!
🎁 Bonus Features
- 4 Professional themes
- Customizable dashboard
- R:R visualization
- Zone strength ranking
- Session-based filtering (coming soon)
📧 Support & Updates
This is an actively maintained indicator. Updates include:
- New detection methods
- Enhanced analytics
- Community-requested features
- Performance optimizations
⭐ If you find this indicator helpful, please leave a rating and comment with your results!
📌 Remember: No indicator is perfect. Always use proper risk management and never risk more than you can afford to lose.
Customizable MTF POC (VWAP Approx)🔍 Multi-Timeframe VWAP POC Zones
This script displays volume-weighted average price (VWAP) levels from multiple timeframes on a single chart. Each VWAP level acts as a potential dynamic support or resistance zone, depending on the price action.
✅ Customizable timeframes included:
1m, 5m, 15m, 1h, 2h, 4h, 1D, 2D, 1W, 1M
📌 Key Features:
– VWAP lines per timeframe with adjustable visibility
– Color-coded for clarity
– Useful for identifying high-confluence support/resistance zones
📈 Usage Tip:
Combine this indicator with price action or liquidity zones for more accurate entries. Confluent VWAP zones across multiple timeframes often signal strong reaction areas.
⚠️ Note: This script uses VWAP as an approximation for Point of Control (POC). It does not rely on true volume profile histograms due to Pine Script limitations. For full volume profile analysis, use TradingView’s built-in “Fixed Range Volume Profile” tool.
Pure Price Action Momentum OscillatorComplete Trading Guide: Pure Price Action Momentum Oscillator
1. Script Overview
What It Does
Tracks real-time momentum strength (bullish/bearish acceleration)
Identifies dynamic support/resistance zones for momentum (not price)
Alerts when momentum breaks or holds critical levels
What It Doesn’t Do
Predict long-term trends (use with trend indicators)
Replace price-based S/R levels (use alongside them)
Work well in extreme choppiness (adjust settings or avoid)
2. Key Features & Components
Feature Purpose Visual Cue
Momentum Histogram Shows strength/direction of price acceleration Color-coded bars
Zero Line Bullish/bearish momentum baseline Gray line (0 level)
Support Zone (Blue) Momentum floor where bounces happen Blue horizontal line
Resistance Zone (Orange) Momentum ceiling where pullbacks start Orange horizontal line
Stateful Alerts Persistent signals until conditions reverse Green/Red labels
3. Best Timeframes & Markets
Market Recommended Timeframe Notes
Stocks 5min - 1H Works best with high liquidity
Forex 15min - 4H Avoid during major news spikes
Crypto 1H - 4H Use with volume confirmation
Futures 5min - 1H Ideal for intraday momentum trades
❌ Avoid: Tick charts, <1min (too noisy), >Daily (loses sensitivity).
4. Confirmation Tools (Must-Use Combos)
A. Trend Confirmation
200 EMA (Price Chart)
Only trade longs if price > 200 EMA + momentum supports
Only trade shorts if price < 200 EMA + momentum confirms
ADX (14)
Use when ADX > 25 (strong trend) + momentum aligns
B. Volume Confirmation
Volume Profile
Enter longs only if momentum breaks resistance at high-volume nodes
VWAP
Buy pullbacks when momentum holds support and price is above VWAP
C. Price Structure
Fibonacci Retracements
Look for momentum breaks at 61.8% Fib levels for high-probability trades
Market Structure (Higher Lows/Lower Highs)
Momentum breakouts work best when price confirms trend
5. Trading Signals & Execution Rules
A. Breakout Trades (High Momentum)
Signal Conditions Action
Resistance Broken Histogram > Orange Zone + Price > Key S/R Enter Long
Support Broken Histogram < Blue Zone + Price < Key S/R Enter Short
Stop Loss:
Longs: 1 tick below nearest swing low
Shorts: 1 tick above nearest swing high
Take Profit:
Trail using the opposite zone (exit long when momentum drops below support)
B. Reversal Trades (Momentum Exhaustion)
Signal Conditions Action
Resistance Holding Histogram rejects Orange Zone + Bearish candle Short Entry
Support Holding Histogram bounces off Blue Zone + Bullish candle Long Entry
Stop Loss:
Beyond the recent swing high/low
Take Profit:
At next key S/R level
6. Advanced Interpretation
A. Divergence Trading
Hidden Bullish Divergence:
Price makes higher low, but momentum makes lower low → Potential reversal up
Hidden Bearish Divergence:
Price makes lower high, but momentum makes higher high → Potential reversal down
B. Session-Based Trading
London Open (3 AM EST): Watch for momentum breaks with volume surge
NY Midday (10 AM - 12 PM EST): Best for trend continuation
Crypto (UTC Midnight): Often sees volatility spikes
7. Risk Management & Position Sizing
Risk per trade: 1-2% of account
Leverage: ≤5x for intraday, ≤2x for swing
Avoid trading:
First 15 mins after major news
Low-volume periods (e.g., forex after 5 PM EST)
8. Pro Tips for Consistency
✅ Wait for Close: Don’t trade wicks, wait for candle close beyond zones.
✅ Combine with Price Action: Only trade if momentum aligns with candlestick patterns (e.g., pin bars, engulfing).
✅ Adjust Lookback: Increase in choppy markets, decrease in trends.
9. Limitations & Fixes
Issue Solution
Whipsaws in choppy markets Increase Min Lookback to 30+
Slow reaction in trends Reduce Max Lookback to 50
False breakouts Require volume confirmation
Final Verdict
This script is best used as a momentum filter – not a standalone system. Combine with:
✔ Trend indicators (200 EMA, ADX)
✔ Volume analysis (VWAP, Volume Profile)
✔ Price structure (S/R, Fibs)
