Open source software that helps you create and deploy high-frequency crypto trading bots
Algorithmic trading framework for cryptocurrencies.
Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent
Example Order Book Imbalance Algorithm
A project of using machine learning model (tree-based) to predict short-term instrument price up or down in high frequency trading.
Limit Order Book Implemented in Python
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
Automatic Cryptocurrency Trading System by using Bithumb API
visualize financial microstructure 📈 & debug trading bots 🤖
Code package to analyze high-frequency trading (HFT) races using financial-exchange message data, following Aquilina, Budish and O'Neill (2021).
Repository for market making ideas
High Frequency Trading strategies.
Live SPY Algorithmic Backed bots for Day Trading Stocks by utilizing ALPACA / IBrokers as the REST Agents.
A high-frequency tool that monitors the "Bid-Ask" spread and order book depth to predict the next 10-second price move.
Cryptocurrency Arbitrage Bot
High Frequency Trading (HFT) done using the Alpaca Trade API and Python.
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.
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