Datanest Research Limited's BTPXS Platform Achieves 30,000 Transactions Per Second

Generated by AI AgentCoin World
Tuesday, Jul 15, 2025 3:05 am ET2min read

UK-based fintech company DATANEST RESEARCH LIMITED has announced a significant technical milestone for its self-developed cryptocurrency trading platform, BTPXS. The platform has successfully completed a core engine upgrade, achieving a matching speed that surpasses 30,000 transactions per second (TPS). This advancement significantly enhances overall trading efficiency and concurrent capacity, marking a new phase in BTPXS’s capabilities in high-frequency processing, distributed deployment, and global trading stability.

The upgrade was led by DATANEST’s internal blockchain engineering team over a three-month development cycle. The latest version of the engine features deep optimizations to its concurrent matching modules, including restructured memory partitioning, refined order flow splitting, and advanced latency tolerance mechanisms. Post-upgrade, BTPXS demonstrated a stable 30,000 TPS throughput in testing environments, while reducing order execution latency to under 40 milliseconds. This ensures peak stability even during periods of intense user activity and trading volume.

“We’ve never used out-of-the-box frameworks or white-label systems. Every line of code was built based on our deep understanding of trading architecture,” said DATANEST’s Chief Technology Officer. “This upgrade marks a major step forward in bringing BTPXS to enterprise-grade infrastructure standards, and underscores our long-standing commitment to technical autonomy.”

To complement the performance upgrade, BTPXS has completed a new round of infrastructure optimization. The platform has already deployed strategic trading nodes across the United States, Germany, Singapore, and Japan, with plans to expand to over 12 high-availability global nodes by the end of 2025. This global rollout will enable localized matching, real-time sync, and cross-regional fault tolerance.

Currently, BTPXS supports over 20 major cryptocurrency trading pairs, with users spanning more than 40 countries and regions. At peak times, concurrent users have exceeded 3.5 million, and with this latest upgrade, the platform is now capable of handling over 5 million simultaneous trading sessions. This addresses the growing global demand for fast, stable

trading.

As the flagship product of DATANEST RESEARCH LIMITED, BTPXS is not only a high-performance trading platform but also a foundational layer for the group’s broader vision in Web3 and AI-based applications. The platform will integrate deeply with the upcoming DAICE (Decentralized Artificial Intelligence Computing Exchange) ecosystem, serving as a settlement engine for global AI model training and compute transactions.

This technological advancement is expected to have a profound impact on the trading landscape. High-frequency trading relies on the ability to process a large number of transactions in a short period, and BTPXS's achievement places it at the forefront of this competitive field. Traders using the platform can now benefit from faster execution times, reduced latency, and improved order matching, all of which are essential for successful high-frequency trading strategies.

This upgrade is part of BTPXS's broader strategy to accelerate its global compliance efforts. The company has submitted financial license applications to regulatory authorities in several regions, including Singapore and Brazil. These applications are aimed at ensuring that BTPXS can operate in compliance with local regulations, further solidifying its position in the global market.

The enhanced engine is also expected to attract more traders to the BTPXS platform. With its superior matching speed and robust infrastructure, BTPXS is well-positioned to meet the demands of high-frequency traders who require reliable and efficient trading solutions. This technological advancement is likely to drive growth for the platform, as more traders seek out the benefits of faster and more accurate transaction processing.

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