Description
Delta Volume Indicator - Advanced Order Flow Analysis for cTrader
The Delta Volume Indicator analyzes tick-by-tick order flow to reveal buying and selling pressure that price action alone cannot show. It calculates the difference between upticks (buys) and downticks (sells) for each bar, providing insights into true market participation.
Version 1.0
Currently Stable Version for Lower timefrmes ( 1m - 15m )
Upcoming Updates Soon!
What Makes It Unique
True Tick-Level Analysis: Not volume approximation - actual tick classification
Dual Divergence Systems: Both bar-level and fractal-based divergence detection
Quality Validation: Corwin-Schultz spread estimation ensures reliable signals
Flexible Visualization: Multiple coloring methods and filtering options
Complete Customization: Every color, threshold, and display option configurable
Research-Based: Built on peer-reviewed market microstructure research
------------------------------------------------------------------------------------------------------------------------------------------------------------
Core Features
------------------------------------------------------------------------------------------------------------------------------------------------------------
Delta Volume Calculation
- Tick Rule Classification: Every tick classified as buy (+1), sell (-1), or neutral (0)
- Bar Delta: Net buying/selling pressure per bar = Buy Volume - Sell Volume
- Cumulative Delta: Running sum showing persistent directional pressure
- Multiple Price Types: Calculate using Bid, Ask, or Mid prices
Delta Divergence Detection
Identifies when price and order flow disagree - a potential reversal signal.
Two Filter Methods:
- Magnitude + Imbalance: Direct thresholds for delta strength and volume imbalance
- Percentile-Based: Adaptive filtering based on historical distribution
Visual Markers:
- Automatically placed at Point of Control (highest volume price level)
- Size scales with delta magnitude
- Optional trendlines extending forward
Chart Candle Coloring
Color candles by order flow with three priority levels:
- Divergence (Yellow) - highest priority
- CVD Regime (optional) - stable regime identification
- Bar Delta (Lime/Red/Gray) - bar-by-bar coloring
------------------------------------------------------------------------------------------------------------------------------------------------------------
CVD Regime Analysis
------------------------------------------------------------------------------------------------------------------------------------------------------------
Two Methods for Stable Coloring:
1. Position In Range
- Shows where CVD sits in recent range (0-100%)
- Upper 30% = Bullish | Lower 30% = Bearish | Middle 40% = Neutral
- Fast, intuitive, self-adaptive
2. Corwin-Schultz Quality Filter
- Uses actual Corwin-Schultz spread estimation on price
- Only trusts CVD when market liquidity is high (spread is tight)
- Automatically filters unreliable periods
- Based on peer-reviewed research (Corwin & Schultz 2012)
Key Principle: CVD is only meaningful in liquid markets. This method validates market quality before displaying CVD signals.
------------------------------------------------------------------------------------------------------------------------------------------------------------
Price-Delta Fractal Analysis
------------------------------------------------------------------------------------------------------------------------------------------------------------
Simultaneously tracks pivot points on both price chart and cumulative delta.
Features:
- Detects high/low fractals with configurable pivot lengths
- Sequential tracking: follows consecutive highs or consecutive lows
- Divergence detection: compares price slope vs CVD slope between pivots
- Dual visualization: markers and trendlines on both price chart and indicator panel
- Optional Filter: Show only divergent fractals for clean, focused view
------------------------------------------------------------------------------------------------------------------------------------------------------------
Visual Output
------------------------------------------------------------------------------------------------------------------------------------------------------------
Indicator Panel
- Delta Histogram: White bars (normal), Yellow bars (divergences)
- Cumulative Delta Line: Cyan line showing running order flow
- Zero Reference Line: Gray dotted line
- Fractal Markers: ▼ (highs) and ▲ (lows) with trendlines
Price Chart
- Colored Candles: Visual representation of order flow regime
- Fractal Markers: Synchronized with indicator panel
- Fractal Trendlines: Connecting pivots with divergence highlighting
- Divergence Markers: Circles at Point of Control
------------------------------------------------------------------------------------------------------------------------------------------------------------
References
------------------------------------------------------------------------------------------------------------------------------------------------------------
- Corwin, S. A., & Schultz, P. (2012). "A Simple Way to Estimate Bid-Ask Spreads from Daily High and Low Prices." The Journal of Finance, 67(2), 719-760.
- López de Prado, M. (2018). Advances in Financial Machine Learning, Chapter 19.
- Lee, C. M., & Ready, M. J. (1991). "Inferring Trade Direction from Intraday Data." The Journal of Finance, 46(2), 733-746.
Summary
Key features include dual divergence detection systems at bar and fractal levels, enabling identification of potential reversals when price and order flow diverge. It offers two filtering methods—magnitude with imbalance thresholds and adaptive percentile-based filtering—to refine signal quality. Visual markers highlight points of control with size scaled by delta magnitude, and optional trendlines extend forward for clarity.
The indicator panel displays a delta histogram with divergence highlights, a cumulative delta line, zero reference, and fractal markers with trendlines. On the price chart, candles are colored by order flow regime, synchronized fractal markers and trendlines connect pivots, and divergence markers appear at points of control.
Market quality validation uses Corwin-Schultz spread estimation to ensure signals are reliable only during high liquidity periods. The tool is built on peer-reviewed market microstructure research and supports analysis across Forex, indices, commodities, stocks, and cryptocurrencies including symbols like EURUSD, BTCUSD, NAS100, and XAUUSD.
!["[Stellar Strategies] Inside Bar with Signals" logo](https://cdn.ctrader.com/image/webp/1d9e8bfa-3b2c-4440-bb37-5856902008a7_30683)
