Volume, Structure and Confluence: Building a Better Futures Market Read
FUTURES FIELD NOTES
Begin with a market question
Instead of asking whether an indicator is bullish or bearish, ask what price is doing at a meaningful location. Is the market accepting beyond a prior high, rejecting a level, or compressing inside a range? A specific question makes the next observations easier to assess.
Volume describes participation
Executed volume tells you how much traded. A rolling baseline can identify expansion or contraction, but its window and session composition matter. Compare completed bars with completed bars. Comparing a partially formed bar against full bars can create a misleading impression of weak activity.
Structure describes progress
Higher highs and higher lows can describe upward progress; lower highs and lower lows describe downward progress. Overlapping ranges may indicate compression. A break of a single bar is a narrow rule, while a confirmed swing break has a different meaning. Name the rule so another trader can reproduce the read.
VWAP supplies a reference
VWAP weights observed trade prices by their executed sizes. Its value depends on the reset point and data coverage. A VWAP calculated since connection should not be called a full-session VWAP when the connection began midway through the session. Location relative to VWAP is context, not a complete trade thesis.
Combine different evidence families
Liquidity location, volume participation, price response, classified aggression and structure can contribute distinct information. Delta and CVD generally share the same underlying executions. An explainable confluence score should avoid treating closely related observations as independent proof.
Look for the contradiction
A sweep and CVD divergence can coexist with strong higher-timeframe upward structure. That contradiction belongs in the decision. Missing depth data also limits claims about replenishment and absorption. The strongest process states what is missing as clearly as what supports the event.
From event to confirmation to review
An event says something deserves attention. A trigger adds a defined future condition, invalidation and expiry. Research then asks what followed across enough comparable observations. Keep sample size, overlapping events, adverse excursion and costs in view. Neither a compelling example nor a high score guarantees an outcome.
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