Volume Footprint Analysis
SkillCommerce & financeAdvanced volume analysis at each price level within candles.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Volume Footprint Analysis skill
About this capability
About AI quantitative trading platform for crypto, stocks, and forex with backtesting, live trading, market data, and multi-agent research.vibe-trading ,trading-agents,ai-trader,ai-trading
What this skill tells your AI
The instructions your AI receives, as published by signal-execution-labs/forex-trading-ai-agent in skills/volume-footprint/SKILL.md and read by ahel’s review.
Advanced volume analysis at each price level within candles.
Overview
Inspired by TradingView's Pine v6 footprint API (Premium feature), this skill analyzes buy/sell volume at discrete price levels within each bar.
Features
- Footprint Charts: Volume profile within each candle
- Delta Analysis: Buy vs sell volume imbalance
- Point of Control (POC): Highest volume price level per bar
- Value Area: 70% of volume concentration (VAH/VAL)
- Imbalance Detection: Aggressive buying/selling zones
- Absorption Detection: Large orders absorbing price movement
- Volume Clusters: Multi-bar volume accumulation zones
Metrics
- Delta (buy - sell volume)
- Delta %
- Cumulative Delta
- Total volume
- POC price
- Value Area High/Low
- Imbalance ratio
Configuration
footprint:
tickSize: 10 # Ticks per row
method: "time" # time, tick, volume, range
showDelta: true
showPOC: true
showValueArea: true
showImbalance: true
imbalanceRatio: 300 # 3:1 ratio for imbalance
Alerts
- POC break
- Delta divergence
- Volume imbalance detected
- Absorption pattern
Use Cases
- Identify institutional order flow
- Find support/resistance via volume clusters
- Detect hidden buying/selling pressure
- Confirm breakouts with volume
Signals
- GitHub stars
- 136
- Forks
- 870
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
volume-footprint- Source
- github.com/signal-execution-labs/forex-trading-ai-agent