Financial Markets
Showing 10 of 10 projects
A production-grade Rust-native trading engine with deterministic event-driven architecture for multi-asset, multi-venue systems.
An open-source, event-driven algorithmic trading engine for backtesting and live trading across multiple financial markets.
An open-source Python quantitative trading system supporting stocks, options, futures, and cryptocurrencies with integrated machine learning.
A Python bot that analyzes Trump tweets for company mentions, performs sentiment analysis, and automatically executes stock trades.
An open-source Python framework for building, training, and evaluating reinforcement learning agents for algorithmic trading.
A terminal-based stock, crypto, and derivatives price watcher and position tracker with real-time updates.
A curated collection of high-quality resources for quantitative and algorithmic trading with a focus on machine learning applications.
A Python-based high-frequency trading model using Interactive Brokers API for pairs trading and mean-reversion strategies.
A Java library for building, testing, and deploying automated trading strategies with 200+ technical indicators and production-ready tooling.
A Python toolkit for training reinforcement learning agents and backtesting rule-based algorithms in financial markets.
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