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Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
Scalable, event-driven, deep-learning-friendly backtesting library
Agentset MCP Server - Build RAG with Agentic superpowers
Trading environnement for RL agents, backtesting and training.
The main features of kkuette/tradzqai are: AI and Machine Learning, Reinforcement Learning Environments.
Projects with overlapping indexed features include: yvictor/tradinggym — Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo. kismuz/btgym — Scalable, event-driven, deep-learning-friendly backtesting library. agentset-ai/mcp-server — Agentset MCP Server - Build RAG with Agentic superpowers. alibaba/opensandbox — OpenSandbox is a secure sandbox runtime and containerized code execution engine designed to run AI-generated code and… andersmyrmel/vard. aigamedev/btsk — Behavior Tree Starter Kit.