Trending repositories for topic hft
Open source software that helps you create and deploy high-frequency crypto trading bots
Open-source Rust framework for building event-driven live-trading & backtesting systems
A high-frequency trading and market-making backtesting and trading bot in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and orde...
Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent
Open-source Rust framework for building event-driven live-trading & backtesting systems
Open source software that helps you create and deploy high-frequency crypto trading bots
A high-frequency trading and market-making backtesting and trading bot in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and orde...
Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent
Open source software that helps you create and deploy high-frequency crypto trading bots
Open-source Rust framework for building event-driven live-trading & backtesting systems
A high-frequency trading and market-making backtesting and trading bot in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and orde...
A high frequency, market making cryptocurrency trading platform in node.js
A composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine
Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent
Ultra-fast matching engine written in Java based on LMAX Disruptor, Eclipse Collections, Real Logic Agrona, OpenHFT, LZ4 Java, and Adaptive Radix Trees.
Open-source Rust framework for building event-driven live-trading & backtesting systems
A high-frequency trading and market-making backtesting and trading bot in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and orde...
Open source software that helps you create and deploy high-frequency crypto trading bots
A composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine
Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent
A high frequency, market making cryptocurrency trading platform in node.js
Ultra-fast matching engine written in Java based on LMAX Disruptor, Eclipse Collections, Real Logic Agrona, OpenHFT, LZ4 Java, and Adaptive Radix Trees.
Open source software that helps you create and deploy high-frequency crypto trading bots
Open source software that helps you create and deploy high-frequency crypto trading bots
A high-frequency trading and market-making backtesting and trading bot in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and orde...
Open-source Rust framework for building event-driven live-trading & backtesting systems
Ultra-fast matching engine written in Java based on LMAX Disruptor, Eclipse Collections, Real Logic Agrona, OpenHFT, LZ4 Java, and Adaptive Radix Trees.
A high frequency, market making cryptocurrency trading platform in node.js
HFTFramework utilized for research on " A reinforcement learning approach to improve the performance of the Avellaneda-Stoikov market-making algorithm "
Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent
A composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine
A high-performance trading library, written in Mojo and C++, designed to simplify quantitative trading.
Open source software that helps you create and deploy high-frequency crypto trading bots
A high-performance trading library, written in Mojo and C++, designed to simplify quantitative trading.
Open-source Rust framework for building event-driven live-trading & backtesting systems
A high-frequency trading and market-making backtesting and trading bot in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and orde...
Deep learning approach for market price prediction, in JAX
HFTFramework utilized for research on " A reinforcement learning approach to improve the performance of the Avellaneda-Stoikov market-making algorithm "
Open source software that helps you create and deploy high-frequency crypto trading bots
Ultra-fast Node.js Order Book written in TypeScript for high-frequency trading (HFT) :rocket::rocket:
A vertically scalable stream processing framework focusing on low latency, helping you scale and consume financial data feeds.
Golang implementation of a Limit Order Book (LOB) for high frequency trading in crypto exchanges
Ultra-fast matching engine written in Java based on LMAX Disruptor, Eclipse Collections, Real Logic Agrona, OpenHFT, LZ4 Java, and Adaptive Radix Trees.
Bot18 is a high-frequency cryptocurrency trading bot developed by Zenbot creator @carlos8f
Open source software that helps you create and deploy high-frequency crypto trading bots
A high-performance trading library, written in Mojo and C++, designed to simplify quantitative trading.
Deep learning approach for market price prediction, in JAX
Open source software that helps you create and deploy high-frequency crypto trading bots
A high-frequency trading and market-making backtesting and trading bot in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and orde...
Open-source Rust framework for building event-driven live-trading & backtesting systems
Ultra-fast matching engine written in Java based on LMAX Disruptor, Eclipse Collections, Real Logic Agrona, OpenHFT, LZ4 Java, and Adaptive Radix Trees.
Open source software that helps you create and deploy high-frequency crypto trading bots
A high frequency, market making cryptocurrency trading platform in node.js
HFTFramework utilized for research on " A reinforcement learning approach to improve the performance of the Avellaneda-Stoikov market-making algorithm "
Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent
Ultra-fast Node.js Order Book written in TypeScript for high-frequency trading (HFT) :rocket::rocket:
Golang implementation of a Limit Order Book (LOB) for high frequency trading in crypto exchanges
A high-performance trading library, written in Mojo and C++, designed to simplify quantitative trading.
Open source software that helps you create and deploy high-frequency crypto trading bots
Implementation of HFT backtesting simulator and Stoikov strategy
A high-frequency trading and market-making backtesting and trading bot in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and orde...
HFT & Stochastic control numerical implementations from "Optimal high frequency trading with limit and market orders" (GUILBAUD & PHAM)
Ultra-fast Node.js Order Book written in TypeScript for high-frequency trading (HFT) :rocket::rocket:
HFTFramework utilized for research on " A reinforcement learning approach to improve the performance of the Avellaneda-Stoikov market-making algorithm "
Open-source Rust framework for building event-driven live-trading & backtesting systems
A minimalist, low-latency, HFT CME MDP3.0 C++ market data feed handler and pcap file reader (MDP 3.0)
A vertically scalable stream processing framework focusing on low latency, helping you scale and consume financial data feeds.
NOTE: Barter-Data migrated to Barter monorepo: https://www.github.com/barter-rs/barter-rs
用C++开发的跨平台的基于ctp api的交易程序，可以实现在云服务器连续自动运行，无需手动干预，微信监控实时通知，接触不到电脑也可随时了解交易行情动态，数据文件自动压缩上传百度网盘，熟悉无锁ringbuffer的使用，尽可能降低延迟。
DistributedATS is a FIX Protocol based multi matching engine exchange(CLOB) that integrates QuickFIX and LiquiBook over DDS
