TauricResearch/TradingAgents

This page introduces an external open-source repository. It is not an HDATF product.

What it does

TradingAgents is a multi-agent LLM framework for financial trading. Agents in roles such as research manager, trader and portfolio manager use macro data, sentiment and price data to reach trading decisions.

How it helps ATF

Not related to our products. Listed because it appeared in the ranked lists.

License

Apache-2.0 Permissive, with a patent grant. Commercial use is allowed; keep the notices and state your changes.

More in this category

• langchain-ai/deepagents
  An open source agent harness on LangGraph that works with any tool-calling model. It includes sub-agents with isolated context, a pluggable filesystem, context summarization, persistent memory, skills, MCP tools and human approval of tool calls.
• HKUDS/CLI-Anything
  CLI-Anything builds command line interfaces that let AI agents operate existing software. CLI-Hub is a registry for browsing, installing and managing community-built CLIs, and the project demos show agents producing CAD builds, 3D scenes, diagrams and subtitles.
• THU-MAIC/OpenMAIC
  OpenMAIC generates interactive multi-agent classroom courses from a prompt. Its agent workbench plans, builds and revises course pages from uploaded materials, with server-backed sessions that can be cancelled, resumed and steered.
• 666ghj/MiroFish
  MiroFish builds a simulated world from uploaded seed material such as news, policy drafts or financial signals, where thousands of agents with their own memory interact. Users describe a prediction request in plain language and receive a prediction report.
• aiming-lab/AutoResearchClaw
  AutoResearchClaw is a staged pipeline that takes a research idea from chat to a written paper, either autonomously or with a human co-pilot. Its experiment stages route work to domain-specific agents, such as physics, biology and statistics executors.

Only repositories in the ranked Trendshift lists are included, and the lists are used only to find candidates. We do not copy their ranks. Descriptions, licenses and star counts come from each GitHub repository. The notes are our own reading. We have not tested these projects, and a place on a trending list does not prove quality.