#Avellaneda-stoikov

javifalces

HFTFramework

HFTFramework utilized for research on " A reinforcement learning approach to improve the performance of the Avellaneda-Stoikov market-making algorithm "

keanekwa

Optiver-Ready-Trader-Go

Implemented the Avellaneda-Stoikov market-making strategy in an automated trading algorithm. Completed as part of the Optiver Ready Trader Go competition.

Faraone-Dev

atomic-mesh

Distributed market-making system. Avellaneda-Stoikov strategy with sub-microsecond C++ hot-path (431ns), event-sourced architecture, VPIN toxicity detection, QUIC mesh transport, real-time dashboard. Rust + C++17 FFI.