Production-grade Rust-native trading engine with deterministic event-driven architecture
- algorithmic-trading-engine
- trading-platform
- crypto-trading
- artificial-intelligence
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Production-grade Rust-native trading engine with deterministic event-driven architecture
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
Python trading framework with AI agents that actually place the trade. Backtest, paper and live trade on 12 brokers: stocks, options, futures, forex, crypto and prediction markets.
Create your Java crypto trading bot in minutes. Our Spring boot starter takes care of exchange connections, accounts, orders, trades, and positions so you can focus on building your strategies.
Oracle3: open-source trading engine and MCP server for prediction markets. Finds fee-adjusted no-arbitrage violations across related event contracts and trades them live on Kalshi, Polymarket and Solana, or on paper, under pre-trade risk limits. 13 MCP tools, JSON CLI, agent skills, 600+ tests.
Telegram trading bot for tokens: signals, limits and stop-loss in one chat.
PolyTutor overview of Polymarket trading bots: strategy guides (copy trading, market making, dump-hedge, last-seconds, sports), case studies, and engineering notes. Smart trading. Real edge.
Passive market-making bot for Predict.fun: quotes from live order books, replaces stale orders and cancels on unsafe price/depth; Windows desktop app and web console for Ubuntu servers.
Wisp CLI — Interactive trading platform for backtesting and live trading across spot, perpetual futures, options, and prediction markets