June 3, 2026 - [2026-04] TradingAgents v0.2.4 released with structured-output agents (Research Manager, Trader, Portfolio Manager), LangGraph checkpoint resume, persistent decision log, DeepSeek/Qwen/GLM/Azure provider support, Docker, and a Windows UTF-8 encoding fix.

Pioneering Trading Intelligence with AI Precision. Tauric Research has 3 repositories available. Follow their code on GitHub.

April 25, 2026 - TradingAgents v0.2.4 ships structured-output decision agents, opt-in checkpoint resume, a persistent decision log with outcome-grounded reflections, four new LLM providers, and a Docker image. Research Manager, Trader, and Portfolio Manager use llm.with_structured_output(Schema) on their primary call and return typed Pydantic instances.

TauricResearch/TradingAgents’s past year of commit activity · TradingAgents: Multi-Agents LLM Financial Trading Framework · agentfinancetrading+ 2 · agentfinancetradingmultiagentllm · Python• · Apache License 2.0•17k17k forks•87k87k stars•161161 issues•147147 pull requests•Updated ·

TradingAgents: Multi-Agents LLM Financial Trading Framework

TradingAgents: Multi-Agents LLM Financial Trading Framework - TauricResearch/TradingAgents

April 30, 2026 - Each agent has its own prompt, tool access, and memory. ... Multi-provider LLM support (OpenAI, Anthropic, Google, DeepSeek, Qwen, GLM, OpenRouter, local Ollama) Configurable debate depth — more rounds = more deliberation, more tokens · yfinance built in (free); Alpha Vantage optional for premium data ... TradingAgents — Python 3.12-slim image, installs tradingagents from github.com/TauricResearch/TradingAgents plus a FastAPI/uvicorn wrapper

TradingAgents: Multi-Agents LLM Financial Trading Framework - Pull requests · TauricResearch/TradingAgents

TradingAgents: Multi-Agents LLM Financial Trading Framework - TradingAgents/CHANGELOG.md at main · TauricResearch/TradingAgents

TauricResearch/TradingAgents is an open-source repository providing a framework for building and testing trading agents using Python - Arunachalam-gojosaturo/how-to-use-and-contribute-to-tauricrese...

[2026-04] TradingAgents v0.2.4 released with structured-output agents (Research Manager, Trader, Portfolio Manager), LangGraph checkpoint resume, persistent decision log, DeepSeek/Qwen/GLM/Azure provider support, Docker, and a Windows UTF-8 encoding fix.

March 21, 2026 - Okay i know that this is not the idea that the project is undergoing right now, but as someone that invests in stocks, ETFs and etc, this project could have a investment assistant on the idea that i help me build a portfolio, with diversified stocks, ETFs, REITs and much more, since some of the issues currently happening such as hallucination wouldn't happen as much since you could let the model run for more time since it doesn't have pressure to operate fast, and example of this would be "i want to invest in a Brazilian stock, that has a minimum annual dividend yield of 10% is a growing sector, has a small debt..." and all the step/cycles of the tauric trading agents right now with the exclusion of the TRADER AGENT is more than capable to provide me with that information.

June 4, 2026 - TradingAgents: Multi-Agents LLM Financial Trading Framework - trading agent · Issue #967 · TauricResearch/TradingAgents

and maximum drawdown, highlighting the potential of multi-agent LLM frameworks in financial · trading. TRADINGAGENTS is available at https://github.com/TauricResearch/TradingAgents.

August 26, 2025 - AI Agents LLM Financial Trading Framework: Tauric Research. A multi-agent trading framework that mirrors the dynamics of real-world trading firms. Totally open source on GitHub: https://t.co/bEmGNHeSUS

June 4, 2025 - In this section, we walk through the steps for running TradingAgents and discuss its capabilities based on a report on the sample stock SPY. On the machine of your choice, clone the TradingAgents repo into the directory of your choice. git clone https://github.com/TauricResearch/TradingAgents

Transforming market data into research alpha with autonomous agents.

May 7, 2026 - The README quickstart looks roughly like this. git clone https://github.com/TauricResearch/TradingAgents cd TradingAgents pip install -r requirements.txt export OPENAI_API_KEY="sk-..." export FINNHUB_API_KEY="..." python -m tradingagents.cli \ --ticker AAPL \ --date 2026-04-30 \ --models gpt-5.5 ...

TradingAgents: Multi-Agents LLM Financial Trading Framework - Issues · TauricResearch/TradingAgents

October 13, 2025 - The paper’s code is open source: github.com/TauricResearch/TradingAgents