Institutional Activity DetectorInstitutional Activity Detector - Complete Tutorial
Table of Contents
Installation
Understanding the Indicator
Signal Interpretation
Settings Configuration
Trading Strategies
Best Practices
Common Mistakes to Avoid
1. Installation {#installation}
Step-by-Step Setup:
Step 1: Access TradingView
Go to TradingView.com
Log in to your account (free account works fine)
Step 2: Open Pine Editor
Click on "Pine Editor" at the bottom of the chart
If you don't see it, go to the top menu and select "Pine Editor"
Step 3: Add the Script
Click "New" to create a new indicator
Delete any default code
Copy the entire Institutional Activity Detector code
Paste it into the editor
Step 4: Save and Apply
Click "Save" (give it a name like "Inst Detector")
Click "Add to Chart"
The indicator will now appear on your chart
2. Understanding the Indicator {#understanding}
What It Detects:
This indicator identifies institutional traders (banks, hedge funds, market makers) by analyzing:
Volume Analysis
Detects unusual volume spikes that indicate large players entering
Compares current volume to 20-period average
Institutional trades create volume 2-5x normal levels
Order Flow
Delta: Difference between buying and selling volume
Positive delta = More buying pressure
Negative delta = More selling pressure
Institutions leave "footprints" in order flow
Price Action Patterns
Bullish Rejection Wicks:
| <- Small upper wick
|
███ <- Small body
███
|
|
| <- Large lower wick (rejection)
Indicates institutions bought aggressively at lower prices
Bearish Rejection Wicks:
|
|
| <- Large upper wick (rejection)
|
███ <- Small body
███
| <- Small lower wick
Indicates institutions sold aggressively at higher prices
Liquidity Grabs
Institutions often:
Push price above resistance or below support
Trigger stop losses (grab liquidity)
Reverse direction and trade the other way
Dark Pool Activity
Large block trades executed off-exchange:
High volume with minimal price movement
Indicates institutional accumulation/distribution without moving price
3. Signal Interpretation {#signals}
Signal Types:
🟢 INSTITUTIONAL BUY Signal
Appears as green triangle below candle with strength number (2-5)
What it means:
Institutions are actively accumulating (buying)
Higher strength = More confirmation factors
Strength Levels:
2-3: Moderate confidence - Wait for confirmation
4: High confidence - Strong institutional interest
5: Maximum confidence - Multiple factors aligned
🔴 INSTITUTIONAL SELL Signal
Appears as red triangle above candle with strength number (2-5)
What it means:
Institutions are actively distributing (selling)
Higher strength = More confirmation factors
🟠 Dark Pool (DP) Marker
Small orange diamond
What it means:
Large block trade executed
Accumulation/distribution happening quietly
Often precedes significant moves
Liquidity Zones
Red boxes above price = Resistance/sell liquidity
Green boxes below price = Support/buy liquidity
Institutions target these zones to trigger stops
4. Settings Configuration {#settings}
Recommended Settings by Asset Type:
For Stocks (SPY, AAPL, TSLA):
Volume Spike Multiplier: 2.0
Volume Average Period: 20
Delta Threshold: 70%
Minimum Signal Strength: 3
Timeframe: 5m, 15m, 1H
For Forex (EUR/USD, GBP/USD):
Volume Spike Multiplier: 1.5
Volume Average Period: 30
Delta Threshold: 65%
Minimum Signal Strength: 3
Timeframe: 15m, 1H, 4H
For Crypto (BTC, ETH):
Volume Spike Multiplier: 2.5
Volume Average Period: 20
Delta Threshold: 70%
Minimum Signal Strength: 4
Timeframe: 15m, 1H, 4H
For Futures (ES, NQ):
Volume Spike Multiplier: 2.0
Volume Average Period: 20
Delta Threshold: 75%
Minimum Signal Strength: 3
Timeframe: 5m, 15m, 30m
Parameter Explanations:
Volume Spike Multiplier (1.0 - 10.0)
Lower = More sensitive (more signals, some false)
Higher = Less sensitive (fewer signals, more reliable)
Start with 2.0 and adjust based on your asset's volatility
Delta Threshold % (50 - 100)
Measures buying vs selling pressure
70% = Strong institutional bias required
Lower for ranging markets, higher for trending
Minimum Signal Strength (2 - 5)
Number of factors that must align for a signal
2 = Very sensitive (many signals)
5 = Very conservative (rare signals)
Recommended: 3-4 for balance
5. Trading Strategies {#strategies}
Strategy 1: Liquidity Grab Reversal
Setup:
Price approaches a liquidity zone (green/red box)
Price penetrates the zone briefly
Institutional BUY/SELL signal appears
Price reverses away from the zone
Entry:
Enter on the signal candle close
Or wait for next candle confirmation
Stop Loss:
Below the liquidity grab low (for buys)
Above the liquidity grab high (for sells)
Take Profit:
2:1 or 3:1 risk/reward ratio
Or next opposing liquidity zone
Example:
Price drops below support → Triggers stops →
Institutional BUY signal (4-5 strength) →
Enter LONG → Price rallies
Strategy 2: Trend Continuation
Setup:
Identify the trend (higher highs/higher lows for uptrend)
Wait for pullback to support in uptrend
Institutional BUY signal appears during pullback
Confirms institutions are adding to positions
Entry:
Enter on signal with strength ≥ 4
Or next candle after signal
Stop Loss:
Below the pullback low + small buffer
Take Profit:
Previous swing high
Or trailing stop using ATR
Strategy 3: Dark Pool Accumulation
Setup:
Dark Pool (DP) markers appear multiple times
Price consolidates in tight range
Institutional BUY signal with high strength appears
Breakout occurs
Entry:
Enter on breakout candle after signal
Or on retest of breakout level
Stop Loss:
Below consolidation range
Take Profit:
Measured move (height of consolidation projected)
Strategy 4: Divergence Play
Setup:
Price makes lower low
MFI/RSI makes higher low (bullish divergence)
Institutional BUY signal appears
Volume confirms with spike
Entry:
Enter on signal candle or next
Stop Loss:
Below the divergence low
Take Profit:
Previous swing high or resistance
6. Best Practices {#best-practices}
✅ DO's:
1. Use Multiple Timeframes
Check higher timeframe for trend direction
Trade signals that align with higher timeframe
Example: 15m signals in direction of 1H trend
2. Combine with Key Levels
Support/resistance
Supply/demand zones
Previous day high/low
Round numbers (psychological levels)
3. Wait for Confirmation
Don't rush into trades
Let the signal candle close
Watch next candle for follow-through
4. Check the Metrics Table
Look at Relative Volume (should be >2.0)
Check Delta % (should be strong positive/negative)
Verify Order Flow aligns with signal
5. Consider Market Context
News events can override signals
Low liquidity times (lunch, overnight) less reliable
Major economic releases need caution
6. Paper Trade First
Test the indicator for 2-4 weeks
Learn how it behaves on your chosen assets
Develop confidence before using real money
Best Times to Trade:
Stock Market Hours:
9:30-11:30 AM EST (high volume, strong moves)
2:00-4:00 PM EST (institutional positioning)
Avoid: 11:30 AM-2:00 PM (lunch, low volume)
Forex:
London Open: 3:00-6:00 AM EST
New York Open: 8:00-11:00 AM EST
London/NY Overlap: 8:00 AM-12:00 PM EST
Crypto:
24/7 market, but highest volume during US/European hours
Watch for weekend low liquidity
7. Common Mistakes to Avoid {#mistakes}
❌ DON'T:
1. Trade Every Signal
Not all signals are equal
Focus on strength 4-5 signals
Wait for optimal setups
2. Ignore Market Structure
Don't buy into strong downtrends (catch falling knife)
Don't sell into strong uptrends (fight the tape)
Respect major support/resistance
3. Use Too Small Timeframes
1m and 2m charts are too noisy
Minimum recommended: 5m for scalping
Better: 15m, 30m, 1H for reliability
4. Overtrade
Quality over quantity
2-5 good trades per day is excellent
Forcing trades leads to losses
5. Ignore Risk Management
Always use stop losses
Risk only 1-2% per trade
Don't revenge trade after losses
6. Trade During Low Volume
Signals less reliable with low volume
Check Relative Volume metric (should be >1.5)
Avoid pre-market/after-hours for stocks
7. Misread Liquidity Grabs
Not every wick is a liquidity grab
Need volume confirmation
Must have institutional signal
Advanced Tips:
Filtering False Signals:
Use Signal Strength Filter:
Minimum strength 3 = Balanced
Minimum strength 4 = Conservative (recommended)
Minimum strength 5 = Ultra conservative
Confluence Checklist:
Signal strength ≥ 4
Relative volume > 2.0
At key support/resistance
Aligns with higher timeframe trend
Delta % strongly positive/negative
Clean price action setup
If 4+ boxes checked = High probability trade
Setting Up Alerts:
Click the three dots on the indicator
Select "Create Alert"
Choose condition:
"Institutional Buy Signal"
"Institutional Sell Signal"
"Dark Pool Activity"
Set up notification (email, SMS, app)
Save alert
Alert Strategy:
Set minimum strength to 4 for fewer, better alerts
Use for assets you can't watch constantly
Don't rely solely on alerts - check chart context
Practice Exercise:
Week 1-2: Observation
Add indicator to your favorite assets
Watch how signals develop
Note which ones lead to profitable moves
Don't trade yet - just observe
Week 3-4: Paper Trading
Use TradingView's paper trading
Trade only strength 4-5 signals
Record results in a journal
Note: entry, exit, profit/loss, what worked/didn't
Week 5+: Small Live Positions
Start with smallest position size
Trade only your best setups
Gradually increase size as you gain confidence
Keep detailed journal
Quick Reference Card:
Signal Quality Ranking:
🔥 Best Setups (Take These):
Strength 5 + Liquidity grab + Key level
Strength 4-5 + Volume >3.0 + Trend alignment
Dark Pool markers + Strength 4+ signal
✅ Good Setups:
Strength 4 at support/resistance
Strength 3-4 with strong delta
Liquidity grab + Strength 3+
⚠️ Caution (Wait for More):
Strength 2-3 in middle of nowhere
Against higher timeframe trend
Low volume (Rel Vol <1.5)
❌ Avoid:
Strength 2 only
During major news
Low liquidity hours
Against strong trend
Troubleshooting:
"Too many signals"
→ Increase Minimum Signal Strength to 4
→ Increase Volume Spike Multiplier to 2.5-3.0
"Too few signals"
→ Decrease Minimum Signal Strength to 2-3
→ Decrease Volume Spike Multiplier to 1.5
"Signals not working"
→ Check if you're trading during low volume hours
→ Verify you're using recommended timeframes
→ Make sure signals align with market structure
"Can't see liquidity zones"
→ Enable "Show Liquidity Zones" in settings
→ Adjust Swing Detection Length (try 7-15)
Resources for Further Learning:
Concepts to Study:
Order Flow Trading
Market Profile / Volume Profile
Smart Money Concepts (SMC)
Liquidity Sweeps and Stop Hunts
Institutional Order Flow
Wyckoff Method
Volume Spread Analysis (VSA)
Recommended Practice:
Study past signals on chart
Replay market using TradingView's bar replay feature
Join trading communities to share setups
Keep a detailed trading journal
Final Thoughts:
This indicator is a tool, not a crystal ball. It identifies high-probability setups where institutions are active, but still requires:
Proper risk management
Market context understanding
Patience and discipline
Continuous learning
Success Formula:
Right Tool + Proper Training + Risk Management + Discipline = Consistent Profits
Start slow, master the basics, and gradually increase complexity as you gain experience.
Good luck and trade smart! 📊📈
스크립트에서 "volume profile"에 대해 찾기
Luxy Flexible Moving AveragesUltra-lightweight moving average suite supporting six calculation methods (EMA, SMA, WMA, VWMA, RMA, HMA).
Overview
Luxy Flexible Moving Averages is a performance-optimized indicator designed for traders who need clean, reliable moving average lines without the overhead of complex calculations or unnecessary features. This indicator prioritizes speed and visual clarity, making it ideal for traders who run multiple indicators simultaneously or work on lower-powered devices.
Unlike traditional moving average indicators that calculate all lines regardless of whether they are enabled, Luxy only processes the moving averages you actually need, resulting in near-instantaneous chart loading times.
What Makes This Different
The primary design philosophy behind Luxy Flexible Moving Averages is efficiency without compromise. The indicator includes four independently configurable moving average lines, each supporting six different calculation methods. Every calculation is conditionally executed, meaning that disabled lines consume zero processing power. This approach delivers exceptional performance even when paired with resource-intensive indicators like volume profiles, market structure tools, or custom scanners.
Features
The indicator provides four distinct moving average lines, each fully customizable:
Fast MA is typically used for short-term momentum and quick directional changes. Traders often configure this as an EMA with lengths between 5 and 20 bars, depending on their trading timeframe.
Medium MA serves as a middle-ground reference, often used to identify the intermediate trend or as a dynamic support and resistance level. This line commonly uses EMA or SMA calculations with lengths between 10 and 50bars.
Medium-Long MA acts as a visual bridge between short-term noise and long-term structure. Many traders disable this line entirely if they prefer a cleaner chart, but it can be useful for identifying larger trend phases. Typical configurations use SMA or RMA with lengths between 50 and one 150 bars.
Long MA represents the dominant trend or bias. This is often configured as a 200 period SMA, which is a widely-watched level across most markets and timeframes. Alternatively, traders may use RMA for a smoother visual appearance.
Each line supports six calculation methods:
EMA (Exponential Moving Average) applies exponentially decreasing weights to older prices, making it highly responsive to recent price action. This is the preferred method for momentum-based strategies and short-term trading.
SMA (Simple Moving Average ) treats all prices equally within the lookback period, resulting in a smoother line that is less reactive to sudden price spikes. This is commonly used for identifying long-term trends.
WMA (Weighted Moving Average) applies linearly decreasing weights, offering a middle ground between EMA and SMA. It responds faster than SMA but with less sensitivity than EMA.
VWMA (Volume-Weighted Moving Average) incorporates volume data into the calculation, giving more weight to bars with higher trading activity. This method is particularly useful in liquid markets where volume represents genuine participation.
RMA (Relative Moving Average, also known as Wilder's Smoothing) is a variant of EMA with a slower response curve. It is commonly used in oscillators like RSI and ADX, and provides very smooth trend lines on charts.
HMA (Hull Moving Average) is designed to reduce lag while maintaining smoothness. It is the most responsive option available in this indicator but can produce more false signals during choppy or sideways markets.
How It Works
The indicator operates on a conditional calculation model. When you load the indicator, it checks which moving average lines are enabled via the input settings. Only the enabled lines are calculated on each bar, and disabled lines are assigned a not-applicable value, preventing any processing overhead.
Each moving average is calculated using native TradingView functions, ensuring maximum compatibility and reliability across all asset classes and timeframes. The indicator does not use any security calls, loops, or external data requests, which are common sources of performance degradation in more complex indicators.
Recommended Configurations
The optimal moving average configuration depends on your trading style and timeframe. Below are general guidelines based on common trading approaches.
Scalping (1 minute to 5 minute charts)
Scalpers require fast-reacting moving averages that can identify micro-trends and momentum shifts within seconds. The recommended configuration prioritizes EMA or HMA for all lines, with very short lengths to capture quick moves.
For the Fast MA, use EMA with a length between 5 and 8. This line should react almost immediately to price changes and helps confirm entry timing during breakouts or pullbacks.
For the Medium MA , use EMA with a length between 10 and 15. This serves as your primary directional filter. When price is above this line, you look for long opportunities. When below, you look for shorts.
The Medium-Long MA is often disabled in scalping setups to reduce visual noise. If used, configure it as SMA between 40 and 80 to provide context on the broader 5-minute or 15-minute trend.
The Long MA can be set to SMA with a length between 100 and 150, or simply disabled. On very short timeframes, this line often provides more historical context than real-time utility.
Day Trading (5 minute to 1 hour charts)
Day traders benefit from a balanced approach that filters out noise while remaining responsive to intraday volatility. A common configuration combines EMA for short-term lines and SMA for long-term structure.
For the Fast MA , use EMA with a length between 8 and 12. This captures momentum without overreacting to every minor price swing.
For the Medium MA , use EMA with a length between 12 and 21. This is often used as a dynamic support or resistance level during trending sessions.
For the Medium-Long MA , configure SMA or RMA between 60 and one 120. This line helps identify whether the intraday trend aligns with the broader daily bias.
The Long MA is typically set to SMA with a length of 200. This is a critical level that many institutional traders watch, and price reactions around this line are often significant.
Swing Trading (4 hour to daily charts)
Swing traders operate on longer timeframes and need moving averages that filter out daily noise while highlighting multi-day or multi-week trends. SMA and RMA are commonly preferred for their smoothness, though EMA can be used for faster momentum entries.
For the Fast MA , use EMA or SMA with a length between 10 and 20. This line helps time entries during pullbacks within the larger trend.
For the Medium MA , use EMA or SMA with a length between 20 and 34. This often serves as a key decision point for whether a pullback is likely to reverse or continue.
For the Medium-Long MA , configure SMA between 100 and 180. This provides visual context on the broader weekly trend and can act as a significant support or resistance zone.
The Long MA should be SMA with a length of 200 or higher. On daily charts, the two-hundred-day moving average is one of the most widely-referenced indicators in global markets, and price behavior around this level is often predictable.
Using Moving Averages for Trend Identification
Moving averages are primarily used to determine trend direction and strength. The relationship between price and the moving average lines provides insight into market structure.
When price is trading above a moving average, the trend is generally considered bullish on that timeframe. When price is below, the trend is bearish. The steeper the slope of the moving average, the stronger the trend. A flat moving average indicates consolidation or a potential trend change.
Crossovers between moving averages are commonly used as trend confirmation signals. When a faster moving average crosses above a slower moving average, this suggests increasing bullish momentum. When the faster line crosses below, it suggests increasing bearish momentum. However, crossovers should not be used in isolation, as they can produce false signals during sideways markets.
Many traders use moving averages as dynamic support and resistance levels. During uptrends, price often pulls back to a key moving average before resuming higher. During downtrends, price often rallies to a moving average before resuming lower. These levels can be used to plan entries, exits, or stop-loss placement.
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.
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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Institutional Analyst Board
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📊 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?
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*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.
RSI VWAP v1 [JopAlgo]RSI VWAP v1 — the classic RSI, made a bit smarter and volume-aware
We know there’s nothing new under the sun and the original RSI already does a great job. But we’re always chasing small, practical improvements—so here’s our take on RSI. Same core idea, clearer visuals, and the option to make it volume-oriented via VWAP smoothing. Prefer the traditional feel? SMA and EMA are still here—pick and compare what fits your market and timeframe. We hope this version genuinely makes your decisions easier.
What you’ll see
The RSI line with 70 / 50 / 30 rails and subtle background.
A smoothing line you can choose: VWAP, SMA, or EMA (drawn over RSI).
Shading that shows RSI vs. its smoothing (above = green tone, below = red tone).
Optional OB/OS highlight (only the portion above 70 / below 30).
Optional divergence detection & alerts (off by default to keep things light).
What’s new, and why it helps
1) VWAP-based RSI smoothing
Instead of smoothing RSI with a plain MA, you can use VWAP computed on RSI. That brings participation (volume) into the picture, which often reads momentum quality better—especially in crypto or during news hours.
2) Adaptive blending for stability
Low-volume periods: gently blends VWAP → EMA so signals don’t get brittle when participation is thin.
Volume spikes (anti-auction): tempers overreactions by blending toward EMA when z-score of volume is extreme.
Reliability guard: if volume looks unreliable, the script can auto-fallback to EMA to keep readings consistent.
3) Clean, readable visuals
A quick glance tells you regime (50 line), trigger (RSI vs. its smoothing), and stretch (70/30). No clutter.
4) Divergence on demand
Regular bullish/bearish divergence detection and alerts are opt-in. If you use them, toggle on; if not, the indicator stays lightweight.
Read it fast (checklist)
Regime: RSI ≥ 50 = bullish bias; ≤ 50 = bearish bias.
Trigger: look for RSI crossing its smoothing in the direction of the regime.
Stretch: near 70/30, avoid chasing; prefer a retest/hold.
Volume context: if the panel falls back to EMA, treat the flow signal as less reliable for the moment.
Simple playbook
Trend-pullback (continuation)
RSI ≥ 50 and RSI crosses up its smoothing → long bias.
Best at real levels (see “Location first” below), not in the middle of nowhere.
Reclaim / reject at a level
Near 70, weak candles and RSI back under its smoothing → mean-revert toward the middle.
Mirror this near 30 for longs.
Divergence as a secondary check
Start with regime + trigger; use divergence only as extra confirmation, especially on 4H/D.
Location first, always
Your timing improves dramatically at objective references: Volume Profile v3.2 (VAH/VAL/POC/LVNs) and Anchored VWAP (session/weekly/event).
No level, no trade. RSI helps time, levels define edge.
Settings that actually matter
RSI Length (default 14)
Lower = faster, noisier; higher = smoother, fewer signals.
Smoothing Type
EMA: fastest trigger; good for intraday.
SMA: calmer bias; popular for swing.
VWAP: volume-weighted RSI baseline; great when participation matters.
VWAP Length & adaptive blend
Too jittery? lengthen VWAP or reduce max blend.
Too sluggish? shorten VWAP or allow a bit more blend.
Anti-auction Z-score thresholds
Higher values = intervenes less often; lower = tames spikes sooner.
Divergence toggle
Enable only if you actually want divergence markers/alerts.
Signal gating (ignore first bars)
Markets can be noisy right after sessions turn. Delay signals a few bars if you prefer clean reads.
Starter presets
Scalp (1–5m): RSI 9–12, EMA smoothing, short lengths.
Intraday (15m–1H): RSI 10–14, EMA or VWAP smoothing.
Swing (4H–1D): RSI 14–20, SMA or VWAP, modest blend.
Works even better with other tools
Volume Profile v3.2: take triggers at VAH/VAL/POC/LVNs; target HVNs or prior swing.
Anchored VWAP: clean reclaims/rejections plus RSI regime + trigger = higher-quality entries.
(Optional) CVDv1: if aggressor flow aligns with your RSI signal, conviction improves.
Common mistakes this version helps avoid
Taking every RSI cross without levels.
Chasing near 70/30 without a retest.
Over-trusting RSI during extreme volume spikes or illiquid patches (the blend/fallback guards against this).
Disclaimer
This indicator and write-up are for educational purposes only and not financial advice. Trading involves risk; results vary by market, instrument, and settings. Backtest first, act at defined levels, and manage risk. No guarantees or warranties are provided.
FRAMA Channel [JopAlgo]FRAMA Channel — let the market tell you how fast to move
Most moving averages make you pick a speed and hope it fits every regime. FRAMA (Fractal Adaptive Moving Average, popularized by John Ehlers) does the opposite: it adapts its smoothing to market structure. When price action is “trendy” (more directional, less jagged), FRAMA speeds up; when it’s choppy (more fractal noise), FRAMA slows down and filters the rubble.
FRAMA Channel wraps that adaptive core with a volatility channel and clean color logic so you can read trend, mean-reversion windows, and breakouts in one glance—on any timeframe.
What you’re seeing (plain-English tour)
FRAMA midline (Filt): the adaptive average. It’s computed from a fractal dimension of price over Length (N).
Trendy tape → lower fractal dimension → FRAMA tracks price tighter.
Choppy tape → higher fractal dimension → FRAMA smooths harder.
Channel bands (Filt ± distance × volatility): the “breathing room.” Volatility here is a long lookback average of (high − low).
Upper band = potential resistance in down/neutral or trend-walk path in uptrends.
Lower band = mirror logic for shorts.
Color logic (simple and strict):
Green when price breaks above the upper band → bullish regime (momentum present).
Red when price breaks below the lower band → bearish regime.
White when price crosses the FRAMA midline → neutral/reset.
Optional candle coloring: toggle Color Candles to tint the chart itself with the regime color—handy for quick reads.
(When you add screenshots: image #1 should label FRAMA, bands, and the three colors in a small trend + pullback. Image #2 can show a “squeeze → expansion” sequence: channel tightens, then price breaks and walks the band.)
How it’s built (without the jargon)
The script measures three ranges over your Length (N): two half-windows and the full window.
It converts those into a fractal dimension (Dimen). That number says “how zig-zaggy” price is right now.
It turns Dimen into an alpha (smoothing factor): alpha = exp(−4.6 × (Dimen − 1)), clamped so it never explodes or flatlines.
It updates FRAMA each bar using that alpha.
It builds bands using a long average of (high − low) multiplied by your Bands Distance setting.
It changes color only on confirmed bar events:
hlc3 crosses above the upper band → green
hlc3 crosses below the lower band → red
close crosses the midline → white
Result: a channel that tightens in balance, widens in trend, and doesn’t flicker on partial bars.
How to use FRAMA Channel on any timeframe
Same framework everywhere. Your job is to choose where to act (objective levels) and let FRAMA tell you trend/mean-reversion context and breakout quality.
Scalping (1–5m)
Pullback-to-midline (trend): When color is green, buy pullbacks that hold at/above the midline; when red, short pullbacks that fail at/below it.
Invalidation: a white flip (midline cross back) right after entry → tighten or bail.
Squeeze → break: A narrowing channel often precedes a move. Only chase the break if color flips to green/red and the first pullback holds the band/midline.
Intraday (15m–1H)
Trend rides: In green/red, expect price to walk the outer band. Entries on midline kisses are cleaner than chasing the band itself.
Balance fades: In white (neutral) with a tight channel, fade outer band → midline—but only at a real level (see “Pairing” below).
Swing (2H–4H)
Regime compass: Color changes that stick (several bars) often mark swing regime shifts. Combine with Weekly/Event AVWAP and composite VP levels.
Add/Trim: In an uptrend, add on midline holds; trim as the channel widens and price spikes beyond the upper band into HVNs.
Position (1D–1W)
Context first: A persistent green weekly channel is constructive; a persistent red is distributive.
Patience: Wait for midline retests at higher-TF levels rather than chasing outer-band prints.
Entries, exits, and risk (keep it simple)
Continuation entry (trend):
Color already green/red.
Price pulls back to FRAMA midline (or shallowly toward it) and holds.
Take the trend side.
Stop: beyond the opposite side of the midline or behind local structure.
Targets: your Volume Profile HVN/POC or prior swing, not the band alone.
Breakout entry:
Channel had tightened; price breaks a key level.
Color flips green/red and the first retest holds.
Enter with the break.
Avoid: breaks that flip color but immediately white-flip on the next bar.
Mean-reversion entry (balance):
Color white and channel tight.
At a VP edge (VAL/VAH), fade outer band → midline.
Stop: just outside the band; Exit: at midline/POC.
Settings that actually matter (and how to tune them)
Length (N) — default 26
Controls how FRAMA “reads” structure.
Shorter (14–20): faster, more responsive (good for scalps/intraday), more flips in chop.
Longer (30–40): steadier (good for swings/position), slower to acknowledge new trends.
Bands Distance — default 1.5
Scales the channel width.
If you’re constantly tagging bands, increase slightly (1.7–2.0).
If nothing ever reaches the band, decrease (1.2–1.4) to make context meaningful.
Color Candles — on/off
Great for quick regime reads. If your chart feels too busy, leave bands colored and turn candle coloring off.
Warm-up note: FRAMA references N bars. Right after switching timeframes or symbols, give it N–2N bars to settle before you judge the current state.
(You may see an input named “Signals Data” in this version; it’s reserved for future enhancements.)
What to look for (pattern cheat sheet)
Walk-the-band: After a green/red flip, price hugs the outer band while the midline slopes. Ride pullbacks to the midline, don’t fade the band.
Squeeze → Expansion: Channel pinches, then color flips and bands widen—that’s the move. The first midline retest is your best entry.
False break tell: Brief color flip to green/red that immediately reverts to white on the next bar—skip chasing; plan for a reclaim.
Midline reclaims: In chop, repeated white↔green/white↔red flips say “mean reversion”; stay tactical and target the midline/POC.
Pairing FRAMA Channel with other tools
Cumulative Volume Delta v1 (CVDv1):
FRAMA tells you trend/mean-reversion context; CVDv1 tells you flow quality.
Breakout quality: FRAMA flips green and CVDv1 ALIGN = OK, Imbalance strong, Absorption ≠ red → higher odds the break sticks.
If Absorption is red on a FRAMA green flip, do not chase—wait for retest or look for a fail/reclaim.
Volume Profile v3.2:
Use VAH/VAL/LVNs/POC for where.
Green + VAL retest → rotate toward POC/HVN.
Red + VAH rejection → rotate back to POC.
LVN + green flip → expect fast travel toward the next HVN; set targets there.
Anchored VWAP :
Treat AVWAP as fair-value rails.
AVWAP reclaim + FRAMA green → excellent trend-resume entry.
AVWAP rejection + FRAMA red → high-quality short; use midline as your risk guide.
Common pitfalls this helps you avoid
Chasing every poke: FRAMA’s white → green/red state change helps you wait for confirmation (or a retest) instead of reacting to the first wick.
Fading a real trend: A sloped midline with price walking the band is telling you not to fight it.
Stops too tight: In expansion, give the trade room to the midline or local structure, not just inside the channel.
Practical defaults to start with
Length: 26
Bands Distance: 1.5
Color Candles: on (turn off if your chart is busy)
Timeframes: works out of the box on 15m–4H; for 1–5m try Length=20; for daily swings try Length=34–40.
Open source & disclaimer
This indicator is published open source so traders can learn, tweak, and build rules they trust. No tool guarantees outcomes; risk management is essential.
Disclaimer — Not Financial Advice.
The “FRAMA Channel ” indicator and this description are provided for educational purposes only and do not constitute financial or investment advice. Trading involves risk, including possible loss of capital. makes no warranties and assumes no responsibility for any trading decisions or outcomes resulting from the use of this script. Past performance is not indicative of future results.
Use FRAMA Channel for context (trend vs balance, squeeze vs expansion), Volume Profile v3.2 and Anchored VWAP for locations, and CVDv1 for flow quality. That trio keeps your trades selective and your rules consistent on any timeframe.
Elliott Wave Oscillator [JopAlgo]Elliott Wave Oscillator — a simple impulse meter that tells you when the move has “real push”
If price is the story, impulse is the emotion behind each chapter. The Elliott Wave Oscillator (EWO) is a clean way to see that emotion: it’s just the difference between a fast and a slow moving average. When the fast MA pulls away from the slow MA, the histogram grows; when they come back together, it shrinks. Above zero = bullish impulse; below zero = bearish impulse.
EWO keeps the math honest and the read effortless:
Choose SMA, EMA, or a volume-weighted average for each side (the “VWAP” option here uses a rolling VWMA over the chosen length).
A zero line anchors the read (bull vs bear).
Bars color by slope: rising = building momentum, falling = momentum fading.
(For screenshots: image #1 label the zero line, rising/falling bars, and a zero cross. Image #2 show a strong impulse leg hugging one side of zero, then fading into a pullback.)
What you’re seeing (and how it’s built)
Short MA (default 5) and Long MA (default 35) are computed using your selected MA Type (SMA, EMA, or rolling volume-weighted).
EWO = Short MA − Long MA.
EWO > 0: fast MA above slow → bullish impulse.
EWO < 0: fast MA below slow → bearish impulse.
Histogram colors:
Green bar: EWO increasing vs previous bar (momentum building).
Red bar: EWO decreasing (momentum waning).
Alerts: fire when EWO crosses the zero line (bullish or bearish “trend shift” heads-up).
New to this? Think of EWO as a throttle: above zero the engine is pushing forward; below zero it’s pushing backward. The height shows how hard it’s pushing; the color shows if that push is growing or fading right now.
How to use EWO on any timeframe
Same framework everywhere—what changes is your location and targets (from your other tools).
Scalping (1–5m)
Breakout confirmation: Only chase a micro-break if EWO flips above zero and grows green as price leaves a level (VAL/LVN/AVWAP). If it flips then immediately shrinks red, that’s your “don’t chase” warning.
Pullback timing: In a quick trend, wait for EWO to dip but stay above zero, then turn green again. That flip is often your pullback end.
Intraday (15m–1H)
Continuation filter: After a level break, ride as long as EWO stays on your side of zero. The first red bar while still above zero is a cue to partial or tighten stops.
Failed break tell: A poke through VAH/VAL with EWO still near zero (no expansion) is often a trap. Prefer retest/reclaim trades.
Swing (2H–4H)
Impulse leg ID: Strong trends show an EWO “bulge” (wide, mostly green bars above zero for longs). When that bulge shrinks back toward zero, look for mean-reversion to AVWAP/POC before the next leg.
Divergence (lightweight): Price makes a higher high, but EWO tops at a lower peak → impulse is weaker; plan for retrace to value.
Position (1D–1W)
Regime bias: Weeks where EWO lives above zero are net constructive; below zero are net distributive. Use that as a backdrop for adds/reductions at your higher-TF levels (Weekly AVWAP, composite VAL/VAH).
Entries, exits, and risk (simple rules)
Entry: At your level (from VP/AVWAP), take the side where EWO is on the correct side of zero and turning green (for longs) or red→green below zero for shorts? Careful—below zero, red means waning bear impulse. For shorts, you want EWO < 0 and increasing in magnitude (i.e., more negative) which still paints red in this script? Here’s the practical translation:
Longs: EWO > 0 and rising (green bar).
Shorts: EWO < 0 and falling (more negative vs prior bar). In this script, that also paints red—which is correct for building bearish impulse.
Manage: If your long was driven by EWO above zero, consider reducing when bars turn red repeatedly or EWO rolls back toward zero at your target node.
Invalidation: A zero cross against you after entry is a hard warning—tighten or exit unless higher-TF context strongly favors holding.
Stops: Place beyond the price level/structure you used, not on an EWO flip alone.
Settings that actually matter (and how to tune them)
MA Type (SMA / EMA / VWAP):
EMA: most responsive; great for scalping/fast intraday.
SMA: smoother; better for swings where you want fewer false wiggles.
VWAP (rolling VWMA): weights price by volume over your length—nice on pairs where volume behavior matters. (Note: this is a rolling VWMA, not an anchored session VWAP.)
Short/Long Lengths (default 5/35):
Shorter/faster (e.g., 4/20) → earlier flips, more noise.
Longer/slower (e.g., 8/50) → fewer but stronger signals.
Keep the ratio—something like 1:4 to 1:6—so the “bulge” is meaningful.
Zero-cross alerts: leave them on but treat as heads-up, not entries in isolation. You still want location + flow.
What to look for (pattern cheatsheet)
Impulse bulge: Wide, consecutive bars above zero (mostly green) → trend leg in progress. Expect shallow pullbacks only.
Pullback reset: After a leg, EWO shrinks but stays above zero, then flips green again → pullback likely done.
No-juice breakout: Price pokes the level but EWO stays near zero / flips red quickly → skip the chase; look for reclaim setups.
Divergence at extremes: New price high with lower EWO peak → risk of fade to value (POC/AVWAP).
Combining EWO with other tools
Cumulative Volume Delta v1 (CVDv1):
Use EWO for impulse, CVDv1 for quality. Best trades line up as:
EWO > 0 and increasing + CVDv1 ALIGN = OK + Imbalance strong + Absorption ≠ red → take the breakout/retest.
If EWO says “go” but CVDv1 flags Absorption, don’t chase.
Volume Profile v3.2:
Use VAH/VAL/LVNs/POC as where. EWO tells you if the push has fuel to leave/enter value.
Example: VAL retest with EWO turning up → rotate to POC/HVN.
Anchored VWAP:
Reclaims are higher quality when EWO flips above zero on the reclaim bar and holds green on the first pullback.
(Optional mention in screenshots: show a VAH break where EWO bulges and CVDv1 shows Alignment OK—clean continuation.)
Common pitfalls EWO helps you avoid
Buying a break with no impulse: Zero-line hugs and shrinking bars tell you the fast MA isn’t pulling away—skip.
Fading a real leg: Wide, persistent bars on one side of zero = don’t fight; use pullbacks to value instead.
Confusing volume-weighted vs anchored VWAP: The “VWAP” choice here is a rolling VWMA over the lookback, not a session/event AVWAP. Use Anchored VWAP when you need the true event-anchored line.
Practical defaults to start with
MA Type: EMA
Short/Long: 5 / 35
Timeframes: works out of the box on 15m–4H; for 1–5m try 4/20; for daily swings try 8/50.
Keep zero-cross alerts on as an attention ping; still require location + flow.
Alerts (what they mean)
Bullish EWO Signal: EWO crossed above zero → bullish impulse engaged. Look for a retest at your level with CVDv1 quality before entry.
Bearish EWO Signal: EWO crossed below zero → bearish impulse.
Open source & disclaimer
This indicator is published open source so traders can study it, tweak it, and build rules they trust. Tools inform decisions, but risk management decides outcomes.
Disclaimer — Not Financial Advice.
The “Elliott Wave Oscillator ” indicator and this description are provided for educational purposes only and do not constitute financial or investment advice. Trading involves risk, including possible loss of capital. makes no warranties and assumes no responsibility for any trading decisions or outcomes resulting from the use of this script. Past performance is not indicative of future results.
Use EWO to judge when there’s real push, Volume Profile v3.2 and Anchored VWAP for where to act, and CVDv1 to verify who’s actually pushing. That trio keeps you selective on any timeframe.
Directional Indicator Crossovers [JopAlgo]Directional Indicator Crossovers — read trend intent at a glance, on any timeframe
Most traders ask two questions before they click: who’s in control right now and is control getting stronger or weaker?
The Directional Indicator (DI) answers the first one cleanly. +DI tracks upward directional movement; –DI tracks downward directional movement. When +DI crosses above –DI, buyers have the initiative; when –DI crosses above +DI, sellers do. DI Xover focuses on that simple, tradeable signal—the crossover—and keeps the pane uncluttered so you can layer it with your location/flow tools.
(If you add screenshots: image #1 can label +DI, –DI and a bullish crossover; image #2 can show a failed crossover in chop next to a successful one at a strong level.)
What you’re seeing (and how it’s built)
This indicator plots two lines in a separate pane:
+DI (green): smoothed positive directional movement.
–DI (red): smoothed negative directional movement.
Under the hood (length = 14 by default):
It measures how much today’s high exceeded yesterday’s high (up move) and how much today’s low fell below yesterday’s low (down move).
It keeps only the dominant side each bar (if up > down and up > 0 → up counts; vice-versa for down).
It normalizes by True Range (so moves are scaled by volatility) and smooths with RMA (so you don’t get jitter).
It raises alerts when +DI crosses above –DI (bullish) or –DI crosses above +DI (bearish).
How to read it, fast:
Cross up = buyers just took initiative.
Cross down = sellers just took initiative.
Wider distance between the lines = stronger control.
Lines braided/tight = balance/chop → expect more fake crosses.
DI is about directional control. It doesn’t tell you where to trade—that’s your location (e.g., Volume Profile, AVWAP). Use DI as a timing/confirmation layer, not as a standalone level generator.
Using DI Crossovers on any timeframe
The framework doesn’t change; only your expectations do as you zoom.
Scalping (1–5m)
Treat crossovers as triggers at levels. If price is tagging VAL/VAH/LVN (from Volume Profile v3.2) or Anchored VWAP, a fresh +DI cross up is your green light for a quick long; –DI cross up flips that logic for shorts.
Avoid taking every crossover mid-range—wait for location first.
In fast tape, require the lines to separate for 1–2 bars after the cross before you click.
Intraday (15m–1H)
In trend days, the first pullback into your level (POC/VA boundary/AVWAP) that prints a fresh +DI cross up is often the cleanest add/entry.
In balance days, fade DI crosses at edges back to POC—only if your flow tool isn’t screaming absorption against you.
Swing (2H–4H)
Look for confluence: at Weekly AVWAP or composite VAL/VAH, a DI crossover that stays separated for several bars is a solid momentum confirmation.
Failed crossover (lines recross quickly) near a level is a useful fail signal—expect a move back into value.
Position (1D–1W)
Use fewer, bigger signals: a weekly DI cross at Monthly/Quarterly AVWAP or at composite value edges marks a regime change.
Add on pullbacks when the controlling DI stays dominant (distance holds or widens).
Entries, exits, and risk (simple rules)
Entry (with level): wait for price to reach your level (e.g., VAL/VAH or AVWAP), then take the trade with the DI cross in that direction.
Filter: skip crosses when the two lines are braided (tiny separation) unless you’re trading a tight scalp with strict risk.
Exit / reduce: if your trade was based on a bullish cross, consider reducing when –DI recaptures +DI or the lines flatten at your target HVN/POC.
Stops: put them beyond the level (not just on a DI recross), but treat a fast recross as a warning to tighten.
Settings that actually matter (and how to tune them)
DI Length (default 14):
Shorter (7–10) = faster signals, more noise (good for scalps with filters).
Longer (20–30) = fewer but stronger signals (good for swing/position).
If you often see flip-flops, lengthen the setting or take crosses only at VP/AVWAP levels.
Pro tip: Define a minimum separation rule for yourself (e.g., after a cross, require the gap between +DI and –DI to increase on the next bar). You don’t need extra code for this—just enforce it visually.
What to look for (pattern cheatsheet)
Cross + hold at a level: The lines cross at your level and keep separating → high-quality entry in that direction.
Sneaky fail: Cross, then immediate recross back → treat it as a fade signal back into value (especially near VAH/VAL).
Strength confirmation: After a breakout, +DI stays above –DI on pullbacks → trend is healthy; buy dips at AVWAP/POC.
Pre-move tell: DI lines unbraid and begin diverging before price leaves a range; wait for location + trigger.
Combining DI Xover with other tools
Cumulative Volume Delta v1 (CVDv1):
Use DI for direction, and CVDv1 for quality. A bullish DI cross with ALIGN OK + Imbalance strong + no Absorption is a far better long than DI alone.
If DI crosses up but CVDv1 flags Absorption (red), don’t chase—look for the fail/reclaim instead.
Volume Profile v3.2 :
Let VP choose the battleground (POC/VAH/VAL/LVNs). Take the DI crossover at those references.
Classic: bearish DI cross at VAH → fade toward POC; bullish DI cross at VAL → rotate to POC—assuming CVDv1 isn’t vetoing with Absorption.
Anchored VWAP :
Treat reclaims/rejections of AVWAP as the location and DI cross as the trigger.
Example: price reclaims Weekly AVWAP, then on the next pullback, a +DI cross up confirms the add.
Common pitfalls this helps you avoid
Trading crosses in the middle of nowhere. DI is a trigger, not a level; wait for VP/AVWAP.
Chasing every wiggle. When the lines are braided, you’re likely in balance—expect fake crosses.
Ignoring flow. A DI cross against CVDv1 Absorption is often a trap; quality > quantity.
Practical defaults to start with
Length: 14
Timeframes: Works out of the box on 15m–4H. For 1–5m scalps try 10–12; for daily/weekly swings try 20–30.
Process: Only act on crosses at levels (VP v3.2 / Anchored VWAP), and prefer those where CVDv1 says ALIGN OK and no Absorption.
Alerts (what they tell you)
Bullish DI Crossover: +DI crossed above –DI → buyers just took initiative. Look to your chart for location and CVDv1 quality before entering.
Bearish DI Crossover: –DI crossed above +DI → sellers took initiative. Same rule: confirm at a level with flow.
Open source & disclaimer
This indicator is published open source so traders can learn, adapt, and build rules they trust. No tool guarantees outcomes; risk management remains essential.
Disclaimer — Not Financial Advice.
The “Directional Indicator Crossovers ” indicator and this description are provided for educational purposes only and do not constitute financial or investment advice. Trading involves risk, including possible loss of capital. makes no warranties and assumes no responsibility for any trading decisions or outcomes resulting from the use of this script. Past performance is not indicative of future results.
