Data & Backend EngineeringActive R&D
High-Frequency Trading (HFT) Engine with C++
A low-latency architecture designed to exploit momentary pricing fractions inside centralized equity order books.
Core Technology Stack
C++
Python
ZeroMQ
FIX Protocol
Architectural Constraints
Language garbage collection and standard TCP/IP TCP handshake protocols caused execution drift, frequently arriving microseconds too late to capture specific liquidity depth.
System Implementation
Pre-allocated absolutely all necessary dynamic RAM upon system initialization and utilized pure FIX (Financial Information eXchange) binary protocols to circumvent conventional JSON/REST overhead.
Infrastructure Deep Dive
Raw logic layer constructed in memory-mapped C++ for sub-millisecond execution. Strategical dynamic reconfiguration modules are attached radially via Python using ZeroMQ bus orchestration.