About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

DASH Adds Dark Liquidity Aggregation Algo

Subscribe to our newsletter

DASH Financial Technologies continues to innovate with SENSOR Dark, a next-generation dark liquidity aggregation algorithm designed to provide traders with optimal levels of transparency, performance and control as they attempt to minimise footprints when seeking dark liquidity in a fragmented market. The algo sources dark liquidity from significant venues across the US equity market, including independent venues, broker-operated pools, exchange hidden liquidity and conditional pools.

In line with all DASH execution solutions, users can customise their own SENSOR Dark execution strategies to meet specific performance and workflow goals. They can also view, measure, refine and visualise their activity using DASH’s web-delivered transparency solution, DASH360, which provides real-time analytics and visualisation to bring an order to life.

Stino Milito, head of electronic trading sales and co-chief operating officer at DASH, says: “While simple dark aggregation tools have been available in the market for some time, most were developed at a time when the liquidity landscape looked much different than it does today. SENSOR Dark has been designed with the functionality and real-time analytics necessary to effectively source dark liquidity today.”

With SENSOR Dark, traders can use a data-driven approach to customise routing selection by liquidity, block execution, price reversion/stability or any custom measurement; benefit from ‘block react’, a workflow solution that enables reaction to block execution with immediate and dynamic reallocation functionality; add ‘alpha seek’, performance enhancing workflow that dynamically changes venue selections available to take advantage when a symbol is outperforming versus the arrival price; define minimum fill size on a per-order and venue-by-venue basis, as well as set a minimum first fill to ensure a minimum-size dark print at the outset of the order; and have price flexibility by sourcing liquidity anywhere within the National Best Bid and Offer, including the midpoint or far touch, the offer when buying or the bid when selling.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: How to move to a modern, component based trading architecture using a Buy AND Build approach

To remain competitive in today’s electronic markets, firms need trading architectures that support rapid innovation, effortless integration of new capabilities, and the agility to respond to shifting market demands. This is prompting technology leaders to move beyond the traditional “Buy vs. Build” debate, a false dichotomy that oversimplifies the choice between generic, off-the-shelf platforms and...

BLOG

xyt Layers Natural-Language AI onto Trading Data Platform as Race for AI-Ready Analytics Intensifies

xyt, the independent trading data intelligence platform formerly known as big xyt, has introduced a set of AI-powered capabilities designed to let clients query its datasets in natural language, integrate its data into their own AI environments, and generate executable analytical outputs from a prompt. The announcement positions the firm in an increasingly crowded field...

EVENT

Digital Assets & Tokenisation Forum, New York

A-Team Group’s Digital Assets & Tokenisation Summit spotlights how global financial leaders are rapidly embracing programmable tokenised assets and DLT networks to achieve real-time, 24/7 peer-to-peer transactions.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...