Atlas Digital published a write-up, four implementations, and a conformance suite for the LMAX Disruptor architecture matching engine.

Execution Intelligence for Digital Assets. Crypto doesn't have a liquidity problem. It has a fragmentation problem. A multi-trillion-dollar asset class spread across hundreds of venues, each with its own pricing and depth, and no consolidated tape to measure against. In equities this was solved decades ago: smart order routing, execution algorithms, and transaction cost analysis, enforced by regulation. In digital assets that layer is still being built. Atlas is building it, with one difference. THE CALIBRATION LOOP Most execution cost models are trained on pooled market data and applied to everyone. Ours train on your desk's own fills. Gradient-boosted cost models and learning-to-rank venue scoring recalibrate continuously against your realized outcomes, so predictions get more accurate every time you trade. Machine learning applied to the one dataset nobody else has: your flow. THE PLATFORM Pre-trade: Almgren-Chriss cost decomposition across spread, market impact, timing risk, and opportunity cost, before you commit. Routing: smart order routing across dozens of venues, with aggressive, passive, and neutral modes. Algorithms: VWAP, TWAP, POV, IS, liquidity seeker, and iceberg, with adaptive scheduling. Post-trade: implementation shortfall decomposition, per-venue markout, strategy comparison, and slippage benchmarking, feeding directly back into the pre-trade model. AtlasX serves buy-side desks. Atlas DESK serves brokers. Both run the same engine. Modular by design: take the full stack, or run the TCA overlay alongside the OEMS you already have. Agency-only. No prop desk, no internalization, no conflicts. Our only alignment is your execution quality. Live market intelligence, free and ungated: atlasdigitaltrading.com/intelligence Founded by Kiran Pingali. 25 years building institutional electronic trading infrastructure at Citigroup, Lehman Brothers, Thomson Reuters/Refinitiv, and Bloomberg. Cornell M.Eng. Columbia MBA. CFA charterholder.