About a-team Marketing Services
The knowledge platform for the financial technology industry
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: The Role of Data Fabric and Data Mesh in Modern Trading Infrastructures

The demands on trading infrastructure are intensifying. Increasing data volumes, the necessity for real-time processing, and stringent regulatory requirements are exposing the limitations of legacy data architectures. In response, firms are re-evaluating their data strategies to improve agility, scalability, and governance. Two architectural models central to this conversation are Data Fabric and Data Mesh. This...

BLOG

Platform-Led Strategies for Solving Market Data Fragmentation, Cost and Governance Challenges

For any Chief Data Officer or Head of Trading Technology, the line item for market data is both one of the largest and most complex to manage. The challenge is no longer simply about plumbing feeds into applications. It is a strategic imperative to control spiralling costs, integrate a chaotic mix of traditional and alternative...

EVENT

RegTech Summit New York

Now in its 9th year, the RegTech Summit in New York will bring together the RegTech ecosystem to explore how the North American capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

GUIDE

Regulatory Data Handbook 2020/2021 – Eighth Edition

This eighth edition of A-Team Group’s Regulatory Data Handbook is a ‘must-have’ for capital markets participants during this period of unprecedented change. Available free of charge, it profiles every regulation that impacts capital markets data management practices giving you: A detailed overview of each regulation with key dates, data and data management implications, links to...