FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading
- deep-reinforcement-learning
- stock-trading
- a2c-algorithm
- ppo
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FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading
This is a fully functioning Binance trading bot that measures the volatility of every coin on Binance and places trades with the highest gaining coins If you like this project consider donating though the Brave browser to allow me to continuously improve the script.
QuantStart.com - QSTrader backtesting simulation engine.
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
The Open Source Trading Ecosystem for Everyone.
Python library for portfolio optimization, factor model construction, and risk management built on scikit-learn
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.
TranslatedA lightweight USDT/USDC payment gateway with multi-chain support, integration guides, SDK documentation, and merchant demos.
Portfolio optimization with deep learning.
Hyperliquid trading desk for AI agents: 7 roles, 17 skills and keyless market tools. Research first; execution requires your API wallet and approved tickets. Grok Bot, Claude Code, Cursor, Codex, Gemini CLI and Grok Build.
TranslatedLow-code quant backtesting for China A-shares