Deep technical dives into high-frequency trading architecture, backend engineering, and updates on the AlgoMesh platform.
Why standard databases fail in high-frequency trading and how NanoVaultDB implements a custom C++ SQL engine with dynamic B+ Tree indexing.
Learn how NanoVaultDB utilizes asynchronous kernel-level I/O with Linux io_uring to process millions of market data packets without context switching.
A deep dive into how NanoVaultDB implements a Price-Time Priority FIFO matching engine with SIMD primitives and fixed-point math.
Discover how NanoVaultDB bypasses standard heap allocations to eliminate latency spikes and achieve deterministic execution in High-Frequency Trading.
Explore how hardware-software co-design and 'Mechanical Sympathy' enable NanoVaultDB to achieve sub-microsecond latency in algorithmic trading.