Extracting alpha from L2 data feeds requires sophisticated parsing. Learn how institutional quants analyze order book imbalances in real-time.
The top of the book (Level I) shows where the market is. The depth of the book (Level II) shows where the market wants to go. By programmatically tracking Order Book Imbalance (OBI)—the ratio of resting bid volume versus ask volume—algorithms can detect institutional accumulation or distribution long before a price breakout occurs.
HarvestGroup360 provides high-resolution, unthrottled Level II snapshots and delta updates via our binary protocols. We empower quantitative researchers to build features based on queue depletion rates, order cancellation clustering, and iceberg order detection, turning raw data into highly predictive machine learning features.