Production-grade Rust-native trading engine with deterministic event-driven architecture
- algorithmic-trading-engine
- trading-platform
- crypto-trading
- artificial-intelligence
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Translated🦄🦄🦄AI-empowered stock analysis: an AI-powered stock analysis/stock selection tool. Fetches stock quotes, AI analysis of hot news, AI analysis of funds/financials, and push alerts for price rises and falls. Supports A-shares, Hong Kong stocks, and US stocks. Supports overall market/individual stock sentiment analysis, AI-assisted stock selection, and more. All data stays local. Supports platforms or models such as DeepSeek, OpenAI, Ollama, LMStudio, AnythingLLM, 硅基流动 (SiliconFlow), 火山方舟 (Volcano Ark), and 阿里云百炼 (Alibaba Cloud Bailian).
- stock
- golang
- naiveui
- wails
11 Claude skills for day trading: scan thousands of charts, track breaking news, time every entry and exit, and replay every outcome before you risk a dollar.
- backtesting
- claude
- claude-skills
- day-trading
TranslatedTSP: a self-hosted, zero-maintenance quantitative workbench for A-shares covering "custom strategies + monitoring + backtesting" | LLM capabilities drive strategy customization + individual stock analysis + post-trade review | Freely connect third-party data sources and personalized extended data | Personal open-source project
- a-stock
- ai-agent
- aigc
- backtesting
MCP server for market analysis in AI assistants: screeners, multi-timeframe technical analysis, backtests and sentiment for crypto, stocks, forex and futures. 39 tools. Self-host free, or use the hosted version, TradingMCP.
- claude-desktop
- cryptocurrency
- mcp-server
- mcp-tools
Free, open source, a high frequency trading and market making backtesting and trading bot, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books(Level-2 and Level-3), with real-world crypto trading examples for Binance and Bybit
- backtesting
- high-frequency-trading
- market-making
- backtesting-engine
AKQuant is a high-performance quantitative research and trading framework built on Rust and Python! 开源量化回测框架
🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.
- cryptocurrency
- bot-framework
- investment
- bots
Open-source Rust framework for building event-driven live-trading & backtesting systems
- algo-trading
- algorithmic-trading
- algotrading
- backtesting
fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
- trading-strategies
- backtesting
- stocks
- financial-data-science
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
Trady is a handy library for computing technical indicators, and it targets to be an automated trading system that provides stock data feeding, indicator computing, strategy building and automatic trading. It is built based on .NET Standard 2.0.
- strategy
- technical
- analysis
- stock
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
DYT CN: reproducible China-market research CLI and agent skills
Deterministic, dependency-free Chan-theory (缠论) structure engine + multi-market trading workstation (A-shares / HK / US / crypto) with teaching chart annotations and a mobile PWA.
Batch backtest, import and strategy params optimalization for Gekko Trading Bot. With one command you will run any number of backtests.
- gekko
- backtesting-trading-strategies
- gekko-backtesttool
- backtest
Real-time HFT bot for Polymarket crypto Up/Down markets combining CLOB order books, Chainlink feeds and multi-exchange prices with TWAP and Black-Scholes probability models; paper mode and backtests.
- black-scholes
- chainlink
- crypto
- hft
Simple, modern ETH backtesting project using Pandas/Numpy: data prep, MA signals, portfolio simulation, and result visualization.
- algorithmic-trading
- cryptocurrency
- ethereum
- moving-average