BMLL and Exponential Technology Launch XTech US Equity Flow to Decode Investor Behavior

Quick Summary

BMLL and Exponential Technology have partnered to launch XTech US Equity Flow, a sophisticated analytics tool that decodes Level 3 order book data to distinguish between institutional, retail, and HFT activity. This allows investors to identify whether market moves are temporary impacts or genuine price discoveries.

How does XTech US Equity Flow solve the problem of market noise?

Here is how XTech US Equity Flow solves the challenge of opaque market movements for asset managers and hedge funds. By utilizing Level 3 order book data, the platform separates market activity into distinct categories: High-Frequency Traders (HFTs), institutional funds, and retail investors. This granularity allows users to determine if a stock's price movement is merely temporary market impact caused by a large trade or a genuine repricing event based on new information.

• Granular Data: Access to full-depth order book data across all US equity venues.
• Historical Depth: Over six years of history dating back to January 2020.
• Flexible Delivery: Data available in one-minute, hourly, daily, or weekly intervals.

What specific results does this Level 3 data integration deliver?

The integration of BMLL’s data with Exponential’s proprietary inference methods transforms raw microstructure into actionable tradable signals. Research indicates that institutional flow, when decoded correctly, explains approximately 80% of open-to-close price moves in US equities. This high level of predictability helps systematic funds and discretionary managers anticipate directional performance before it is fully priced into the broader market.

• 80% Correlation: Institutional flow explains the vast majority of daily price moves.
• 15-Minute Delay: Near real-time options available alongside T+1 delivery.
• Agentic Workflows: Interactive dashboards designed for both quants and non-quant users.

Who benefits most from these new investor-flow analytics?

The partnership targets a broad spectrum of capital market participants who require institutional-grade microstructure intelligence. For quant funds, it provides a ready-to-use signal with nanosecond granularity. For sell-side banks, it offers the same Level 3 data foundation trusted by global regulators. The addition of a visualisation layer ensures that discretionary managers can monitor flow discrepancies without needing deep programming expertise.

"This partnership marks a critical shift in how the market extracts intelligence. The richest, most actionable insights are no longer found in top-of-book data or simple trade prints, but in complete order-book reconstruction. We are incredibly proud to see sophisticated partners like Exponential utilise BMLL’s Level 3 data as the definitive foundation for this entirely new class of investor-flow analytics." said Paul Humphrey, Chief Executive Officer, BMLL.

"We have seen first-hand that institutional flow, decoded from order-book data, explains roughly 80% of open-to-close price moves in US equities and reliably anticipates directional performance. By applying our proprietary inference methods, built on 25+ years of running HFT and systematic strategies, to BMLL’s unique Level 3 venue data, we decode order-book activity into institutional and retail flow at a granularity never before available to the market. BMLL’s data is the ideal foundation. Together, we are giving investors a genuinely new perspective on previously hidden investor movements." added Morgan Slade, Chief Executive Officer and Head of Research, Exponential Technology.

FF NEWS TAKE:

This partnership definitely moves the needle for capital markets transparency. By democratizing access to Level 3 order book data through XTech US Equity Flow, BMLL and Exponential are stripping away the 'black box' of US equity trading. In an era where retail surges and HFT dominance can obscure true value, providing institutional-grade clarity to discretionary managers is a significant competitive advantage that will likely become a baseline requirement for alpha generation.