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

RCM-X Implements OneTick TCA to Offer Optimised Algo Execution

Subscribe to our newsletter

RCM-X, the trading technology subsidiary of investment firm RCM Alternatives, has gone live with OneMarketData’s OneTick Transaction Cost Analysis (TCA) platform to offer clients an enhanced execution algorithm suite in global futures markets. The OneTick TCA solution offers traders flexibility and customisable analysis to show orders and fill performance against a variety of price benchmarks by venue, industry, algorithm or sector. Traders are given information on costs, quality and real-time market impact.

Joe Signorelli, managing partner at RCM-X, says: “Partnering with OneMarketData through OneTick TCA will supplement the services we provide to traders to help them achieve their best execution goals. TCA allows us to analyse our clients’ algorithmic trade flow and provide suggestions to reduce implicit costs, such as slippage, that may otherwise go unaddressed.”

Ross Dubin, global head of sales at OneMarketData, adds: “Together we can provide better context behind each transaction and, ultimately, help traders fine-tune their strategies.”

OneMarketData says demand for its TCA service has risen due to the need for market transparency and the solution’s ability to generate alpha by exposing and potentially lowering trading costs. The company’s OneTick time series database also allows clients to marry market data with transaction data. The TCA solution is built on OneTick and the company’s CEP engine, which is able to archive millions of ticks per second on a single server, enabling traders to execute new trading strategies quickly.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research

For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining infrastructure can take months and absorb significant budget before a single model is tested. At the...

BLOG

BMLL and Tradefeedr Partner to Build AI-Ready Analytics Layer for Equities and Futures

BMLL Technologies, the independent provider of harmonised historical order book data, and Tradefeedr, the network-based trading analytics platform, have announced a partnership to extend Tradefeedr’s analytics capabilities into equities and futures. The initiative, which includes a year-long industry pilot, represents Tradefeedr’s first move beyond its established FX analytics franchise and signals a broader ambition to...

EVENT

TradingTech Summit New York

Our TradingTech Summit in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

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...