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      dxFeed Launches Aggregated Overnight Feed For US Equities

      Published: just now

      dxFeed Launches Aggregated Overnight Feed For US Equities

      dxFeed, a global provider of market data and financial technology solutions, has announced the launch of its Aggregated Overnight Feed. This new service is designed to deliver a consolidated top-of-book data feed specifically for the overnight trading session in U.S. equities.
       

      The financial landscape is witnessing extended-hours trading evolve from a niche activity into a central component of global market structure. dxFeed's latest innovation aims to address a critical gap: the provision of high-quality, normalised, and aggregated market data during these crucial overnight sessions.
       

      Stepan Bolshakov

      Stepan Bolshakov, Head of Sales at dxFeed


      Stepan Bolshakov, Head of Sales at dxFeed said:

      The market is moving toward a continuous trading model, but infrastructure has lagged behind, particularly in overnight sessions. With our Aggregated Overnight Feed, we are closing that gap by delivering a normalised, consolidated view of liquidity across venues. This enables our clients to operate with the same level of confidence, data quality, and analytical depth, regardless of the time of day.


      Overnight trading is no longer a peripheral activity. With pre- and post-market volumes now approaching 9% of total daily activity, and demand accelerating across Asia and other international markets, the overnight session is quickly becoming a structural extension of the U.S. equities market. Market participants have historically faced fragmented liquidity providers explained, inconsistent data formats, and limited transparency across overnight venues. The dxFeed Aggregated Overnight Feed directly solves this challenge.
       

      What dxFeed Delivers: A First-Of-Its-Kind Capability

      Powered by dxFeed's proprietary Feed Consolidator Service (FCS), the new solution aggregates and normalises Level 1 (top-of-book) data. This includes quotes, trades, Time & Sales (TnS), and summary data. The feed consolidates liquidity across key overnight venues, including Bruce ATS, Blue Ocean ATS, and Moon ATS.

      A key differentiator of this offering is dxFeed's ability to seamlessly merge overnight aggregated data with regular U.S. trading sessions. This delivers a continuous 24/7 data stream for U.S. equities, providing a unified market view across all sessions with a consistent data schema and normalisation. This approach removes the need for firms to stitch together multiple feeds, thereby significantly reducing infrastructure complexity and latency risks. The challenges of fragmented market access and varying data quality are often seen in complex institutional trading environments, where a robust prime brokerage comparison reveals the importance of aggregated data and streamlined infrastructure.
       

      Why This Matters For Traders And Institutions

      The introduction of aggregated overnight market data represents a foundational upgrade to market accessibility and decision-making, rather than just an incremental improvement. Key benefits include improved price discovery in low-liquidity environments, enhanced transparency across fragmented venues, better execution strategies for global participants, access to actionable signals during off-hours, and reduced operational overhead via consolidated data delivery. For quantitative firms, brokers, and institutional traders, this unlocks previously inaccessible alpha opportunities and enables true round-the-clock trading strategies. This type of data innovation is crucial for those developing advanced techniques, including those utilising AI trading platforms for predictive analytics and automated execution.

       

      Jason Wallach

      Jason Wallach, CEO of Bruce Markets


      Jason Wallach, CEO of Bruce Markets said:

      As overnight trading gains momentum, the industry is beginning to build the infrastructure required to support a fully functioning session, paving the way for a broader range of participants to engage with the overnight market. dxFeed has been an early mover in developing consolidated market data for overnight trading, which provides market participants with the transparency and data quality needed as the session continues to mature.


      Setting A New Industry Standard
      With the launch of the Aggregated Overnight Feed, dxFeed reinforces its position as a technology leader in market data innovation. The company is delivering infrastructure that aligns with the evolving, global, and always-on nature of modern financial markets.
       

      This development in US equities market data aggregation highlights a broader trend towards 24/7 global trading and the critical need for robust, consolidated liquidity infrastructure. For institutional FX, crypto prime brokerages, and retail brokers seeking to provide continuous access and superior execution, the principles of aggregating fragmented liquidity and normalising diverse data feeds are equally paramount. LiquidityFinder's audience, comprising firms focused on prime brokerage, institutional FX liquidity, and crypto infrastructure, will find dxFeed's approach to enhancing market transparency and operational efficiency highly relevant to their own domains.
       

      As market data innovation continues to shape global trading, explore LiquidityFinder Insight for the latest analysis on institutional finance and fintech.

      We're the largest marketplace to connect with brokers, Fintech companies & digital asset firms. Want to partner? Let's get in touch.

      This content may have been written by a third party. LiquidityFinder makes no representation or warranty and assumes no liability as to the accuracy or completeness of the information provided, nor any loss arising from any investment based on a recommendation, forecast or other information supplies by any third-party. This content is information only, and does not constitute financial, investment or other advice on which you can rely.
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