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Combining Options Block Volumes and Trade Context to Read Order Flow

Article Amberdata research

Summary

This article proposes combining two options data sources to investigate large-trader activity. Block-volume data summarizes large options trades by instrument, exchange, and underlying asset; decorated-trade data adds trade timing and level-one order-book snapshots before and after execution. Reading them together can help assess whether activity is concentrated in particular contracts, whether trades appear aggressive or passive, and whether multi-leg structures or changes in Greeks provide useful context.

The suggested workflow is to compare periods of elevated block volume with the corresponding trade-level details, then consider possible supply-demand imbalances, volatility changes, and short-term price impact. The article describes data fields and possible interpretations, but gives no empirical validation, quantified forecasting results, or rules for distinguishing informed positioning from routine activity. Large trades alone do not establish direction or intent, so the proposed signals require independent testing and risk controls.

Key ideas

  • Block-volume data summarizes large options activity across instruments and venues.
  • Decorated trades add pre-trade and post-trade order-book context that can help characterize execution aggressiveness.
  • Comparing aggregate block activity with trade-level details may reveal concentrated demand or coordinated positioning.
  • Multi-leg structures and changes in Greeks can add context to large options trades.
  • The article offers an interpretive framework but no evidence that these observations reliably predict price moves.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.