BMLL, SIGMA AI to fuse historical order books with live analytics

BMLL will provide harmonised historical Level 3–1 order book data while SIGMA AI supplies a streaming analytics engine to compare live market flow with historical benchmarks.

BMLL and SIGMA AI announced a partnership to combine BMLL’s harmonised historical order book records with SIGMA AI’s real-time analytics platform. The tie-up will match live market feeds against long-run benchmarks to detect anomalies, classify market regimes and generate alerts.

Under the agreement, BMLL will deliver historical Level 3, 2 and 1 order book data to establish baseline measures of volatility, liquidity, spread behaviour and auction dynamics. SIGMA AI will provide its “Quant in the Cloud” streaming engine to process live feeds with continuous computation, machine learning inference and natural language output.

The combined system will continuously compare current market conditions against the historical record to identify deviations and signal changes in market regimes. The partners expect the service to support execution intelligence, benchmarking, market impact scoring and near-real-time regime classification for trading and monitoring workflows.

The offering is aimed at exchanges, market data providers, buy-side firms using low-touch and high-touch workflows, sell-side brokers, platform vendors, market makers and quantitative trading firms. Initial coverage will focus on instruments in Saudi Arabia, the UK and Europe, with a planned expansion to the US market.

SIGMA AI is joining BMLL’s Activate Data Credits Programme. Participating partners receive a set allowance of data credits that can be redeemed for structured access to the BMLL Data Lab or Data Feed during development, reducing upfront data licence costs while analytics are built and validated across specified datasets, instruments, venues and historical windows.

Paul Humphrey, chief executive officer at BMLL, welcomed SIGMA AI into the Activate Data Credits Programme, commenting, “Real-time analytics and decision support are a natural application layer on top of high-quality historical order book data.” Andy Simpson, founder and CEO at SIGMA AI, described the work as building “a production-ready analytics layer that generates actionable intelligence by comparing live conditions to a BMLL-derived historical context.”

BMLL is an independent provider of harmonised historical Level 3, 2 and 1 market data and analytics. SIGMA AI offers a cloud-native platform for streaming analytics and real-time intelligence. The partners say the combined product will let users place immediate market events in historical context to support faster, data-driven trading and monitoring decisions.

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