HFT Arbitrage EA is A trading system based on a backlog of data feed. HFT Arbitrage EA To work successfully, it needs a faster data feed agent and slow forex broker where data feed lag. Data feed lags occur because of the operation of the software error broker and problems on its server. Just the broker can use the bridge (Bridge), which connects it with the liquidity provider. In this way, data feed may also be breaking. Especially on time of the release of important news, analysts rating agencies, changes in economic data, and so on, can we see a noticeable difference in the data feed. HFT Arbitrage EA receives data feed every millisecond from Darwinex (MT5 ) and compares them with the prices in the terminal broker. When there is a backlog of data feed, expert arbitrage trading algorithm starts trading and allows to obtain the maximum profit from each signal.

This is a general purpose Ripple client in Java(JavaSE/Android) And have their own Ripple-Blockchain Systems, and provides Ripple-Blockchain special scripting language(The script also supports Based Blockchain HFT\Arbitrage\Bot\Web\Game\UI\Phone\Game code program)

Distributed system for HFT triangular arbitrage on Binance. Written in Go, ZeroMQ. Runs on AWS

ATLAS is a sophisticated real-time risk analysis system designed for institutional-grade market risk assessment. Built with high-frequency trading (HFT) capabilities and advanced machine learning techniques, ATLAS provides continuous volatility predictions and risk metrics using both historical patterns and real-time market data.

This is an educational high-frequency trading system simulator built in C++17 with a real-time GUI. It demonstrates HFT concepts through a complete momentum trading strategy using RSI, MACD, and moving averages, with lock-free data structures, work-stealing thread pools, and performance monitoring.

Financial time-series forecasting has long been a challenging problem because of the inherently noisy and stochastic nature of the market. In the field of High-Frequency Trading (HFT), forecasting for trading purposes is even a more challenging task since an automated inference system is required to be both accurate and fast. In this project, we have implemented a shallow-architecture methodology for the forecasting of financial time-series data, which gives state-of-the-art results. This architecture has been trained and tested on the benchmark Limit Order Book(LOB) FI-2010 dataset, and the corresponding results are compared and analyzed using a variety of measures.

A desktop program in C++ with all its offices and functions. Connects to trading platforms via EA with

Python HFT (High Frequency Trading) system with advanced market making algorithms for Polymarket Bitcoin prediction markets.

A high-performance C++ High-Frequency Trading (HFT) simulation system designed for ultra-low latency trading strategy testing. Simulates real-world order books, market depth, and price fluctuations. Supports custom strategies, backtesting, real-time data feeds, and multithreading for accurate HFT performance analysis.

A Low-Latency FPGA-based Infrastructure for HFT Systems

Regression Testing HFT system

Regime-aware, low-latency high-frequency trading (HFT) risk modeling system implementing microstructure-driven regime detection, microscopic regime propagation tracking, and GPU-accelerated regime-aware monte carlo simulation..

HFT high-frequency trading system using SoC for protocol acceleration and order book reconstruction

Financial institutions use C++ to develop HFT algorithms because of its speed and low-latency performance in handling large volumes of transactions in milliseconds.

A template for building an advanced Automated High-Frequency Trading (HFT) system. Note: For educational purposes only; customize before deploying in live markets.

AI High-Frequency Trading (HFT) System with Quantum Computing Enhancements

This project implements an ultra-low latency, C++-based order execution system designed for real-time systems applications.

HFT FPGA System Design

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a HFT system

High-frequency trading system with backtesting and risk management.

基于rust 的高频虚拟货币交易系统

High-frequency trading system with Binance WebSocket integration

Crafting a cutting-edge HFT system with Rust for peak efficiency and adaptability, engineered for superior performance and flexibility

A curated research repository of Big Tech, Quant/HFT firms, AI engineering roles, and the core CS knowledge required to build world-class systems.

🤖 AI Agent System for Solana HFT Trading - Production-ready high-frequency trading bot with comprehensive agent architecture, real-time monitoring, and advanced risk management

Market Microstructure & Liquidity Simulator for B3 using Mean Field Games (MFG). High-performance numerical solver for coupled HJB-Fokker-Planck systems to model price formation and HFT dynamics.

High-performance HFT engine in Rust with real-time Binance Futures integration, multiple trading strategies(currently working), and a live monitoring dashboard.

A high-frequency trading (HFT) platform built for ultra-low latency execution and intelligent strategy discovery.

Trading system complete functional prototype to make real-time simulations of trading strategies. Initially having 1 second latency of real-time data of US Futures and Forex using Ninja Trader connections and B3 connection with Tryd.