New Trading Platforms Target Scalability
A new generation of trading platforms is focused on massive scalability. Interstate recently raised $1.5M for an ultra-scalable platform, while Liquid introduced a unified on-chain system targeting 5-20ms latency, showing a push for both speed and capacity in emerging markets.
The push for scalability is driving a wedge between traditional and next-generation trading infrastructures, with legacy systems struggling to meet modern market demands. CPU-based platforms face inherent limitations from sequential processing, OS jitter, and context switching, creating latency bottlenecks measured in milliseconds. For high-frequency trading, where profitability is decided in nanoseconds, this is no longer competitive. To overcome these hurdles, firms are increasingly turning to Field-Programmable Gate Arrays (FPGAs). FPGAs execute trading logic directly in hardware, enabling parallel processing that slashes latency to the nanosecond level. This allows for deterministic performance, meaning execution times are consistent and predictable, regardless of market volatility. Tasks like market data filtering and pre-trade risk checks can be embedded directly into the hardware logic. Kernel bypass techniques are another critical component in the low-latency arms race. By allowing applications to communicate directly with network interface cards, these methods circumvent the operating system's kernel, which is often a source of significant delays. Libraries like Solarflare's OpenOnload and DPDK enable this direct hardware access, eliminating data copying and context-switching overhead. The architectural debate between on-premises and cloud deployments continues to evolve. While on-premise solutions have traditionally offered the lowest latency and greatest control, cloud platforms provide superior scalability and can be more cost-effective. For latency-critical functions, many firms adopt a hybrid approach or utilize co-location services, placing their servers within the same data centers as the exchanges to minimize physical distance. Morgan Stanley itself has been actively modernizing its trading infrastructure to trim microseconds from its systems, acknowledging the shift from millisecond to microsecond-level competition. The firm has been overhauling its U.S. equities platform and expanding these upgrades to options, futures, and international markets. This internal push reflects the broader industry trend of integrating hardware and software more tightly to achieve the sub-millisecond performance required for modern algorithmic trading.
