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

Metamako, MayStreet Take Steps For Time-Stamped Order Ledger

Subscribe to our newsletter

FPGA networking platform provider Metamako has added market access and data analytics provider MayStreet’s services to its network, which will make it possible to develop a time-stamped order ledger, according to Ciaran Kennedy, head of US operations at Metamako.

“MayStreet’s ability to decode market orders, extract our time stamp and combine the two, would allow clients to meet MiFID II regulations for event timestamping,” he says.

Under the partnership, MayStreet data analytics software for capital markets firms runs on Metamako network devices, and the combination of Metamako packet capture technology with MayStreet’s analytics engine lets users interpret market data in real time. Metamako first caught MayStreet’s attention for its data capture capabilities, says Kennedy.

The companies have already begun providing statistics about the health of Nasdaq’s US equities feed, according to Kennedy. Metamako has now made MayStreet’s analytics applications available through its MetaApp 32 hardware platform and a user-friendly GUI, he adds. The integration of Metamako and MayStreet lets the companies’ respective users monitor incoming market data, including bandwidth and packet loss, to gain real-time performance insights.

MayStreet CEO Patrick Flannery said in a statement, “Our clients have vast quantities of data flowing across their networks. There generally hasn’t been an easy, cost-effective way to collect all the traffic on the network and generate the business-specific data sets. Working with Metamako changes that: we can quickly and easily collect extremely high-quality ‘raw’ capital markets data and transform it into specific use cases. For example, we can capture market data and order entry data in a unified stream, across all cross-connects and generate SEC and CFTC audit trail reports.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Hearing from the Experts: AI Governance Best Practices

The rapid spread of artificial intelligence in the financial industry presents data teams with novel challenges. AI’s ability to harvest and utilize vast amounts of data has raised concerns about the privacy and security of sensitive proprietary data and the ethical and legal use of external information. Robust data governance frameworks provide the guardrails needed...

BLOG

Broadridge Secures Patent for AI Agent Orchestration

Broadridge Financial Solutions Inc. has been granted a U.S. patent covering its proprietary methods for orchestrating machine learning agents via large language models (LLMs), a technology central to its BondGPT and BondGPT+ platforms. The tools are designed to support corporate bond trading and analytics through natural language processing and AI-driven data orchestration. Initially introduced in...

EVENT

TradingTech Summit London

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...