Futures Volume Profile

Regular volume (bars below candles) shows how much traded during each time period. Volume Profile shows how much traded at each price level. Regular = Volume over time. VP = Volume over price.

Most professional platforms: TradingView (built-in), Sierra Chart, NinjaTrader (with add-ons), ThinkorSwim, ATAS, Tradovate. Quality varies by platform.

Depends on your trading horizon. Day traders: Focus on session (daily) profiles. Swing traders: Use composite (weekly/monthly) profiles. Most traders use both for context.

Market Profile uses 68% (one standard deviation). Volume Profile traditionally uses 70%. The difference is minor - Both identify where most business occurred. Use whatever your platform defaults to.

Most traders look back 5-20 sessions. Very old naked POCs may no longer be relevant as market context changes. Focus on recent (5-10 day) naked POCs for highest relevance.

Multiple HVNs (D-shape or multi-modal profile) suggest multiple accepted values. Trade between them - At one HVN, target the other. Or wait for price to accept one level and trade toward the POC of that distribution.

Studies suggest the 80% rule works roughly as stated on rotation/normal days. However, on trend days, it breaks down. Always consider whether conditions suggest rotation or trend before applying the rule.

First test of LVN often holds. Multiple tests weaken it. Volume on approach matters - High volume approach more likely to break. Order flow at LVN provides real-time confirmation. No method is 100%.

Reset after major events: Fed decision, significant earnings, major trend change. Old context may no longer apply. Or when price breaks and accepts significantly outside the composite value area.

You can use: RTH-only profiles (9:30-4 PM), Globex profiles (24-hour), or split profiles (separate overnight and RTH). For day trading, RTH profiles often most relevant. Use overnight extremes as references.

Steps: 1) Define metrics (VA overlap, POC distance, node strength). 2) Create rules based on metrics. 3) Collect historical profile data. 4) Backtest rules. 5) Walk-forward validate. 6) Paper trade. 7) Live trade small. Quantification is key to systematic trading.

Look for: Sustained volume concentration at level (accumulation/distribution). HVN forming with consistent delta bias. Unusual volume at VWAP area (institutional execution). Volume spikes at quarter/month end (rebalancing).

1) Backward-looking (shows what happened). 2) Can't show order intent, only executed volume. 3) Profiles can be ambiguous. 4) Works best in liquid markets. 5) Different granularities give different results. 6) Doesn't capture hidden orders perfectly.

Extract features: Profile shape metrics, volume concentration, node positions, delta at levels, distance metrics. Train models to predict: Level holds vs breaks, direction after touching level, optimal entry/exit. Use probability output to filter or size trades.

Tick data gives most accurate profiles but is storage-intensive. Minute data is common compromise. For ES, 0.25 tick increments are standard. For less liquid markets, larger increments may be needed. Match granularity to your trading timeframe.