My 2 cents: Qwen3-8B for technical analysis is lightweight for complex multi-timeframe pattern recognition. It may hallucinate indicator interpretations LLMs are bad at numbers: Stop-loss and target prices generated by LLM reasoning often suffer from anchoring bias (e.g., rounding to psych levels) and may not respect actual volatility distributions "Deep" vs "fast" routing: the system assumes these are distinct, but there's no validation that "deep" actually produces better decisions. No feedback loop measuring whether deep reasoning beats fast reasoning No backtesting loop: The "Outcome scorer" runs daily but there's no indication it feeds back into model weights or agent prompts. It's just logging Answer from MathRevolutionary825 on reddit.com
GitHub
github.com › tauricresearch › tradingagents
GitHub - TauricResearch/TradingAgents: TradingAgents: Multi-Agents LLM Financial Trading Framework · GitHub
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.
Starred by 92.3K users
Forked by 17.8K users
Languages Python 99.9% | Dockerfile 0.1%
Tauric Research
tauric.ai › research › tradingagents
TradingAgents: Multi-Agents LLM Financial Trading Framework | Tauric Research
March 25, 2025 - We introduce TradingAgents, a novel stock trading framework inspired by trading firms, utilizing multiple LLM-powered agents with specialized roles such as fundamental, sentiment, and technical analysts, as well as traders with diverse risk profiles.
Videos
10:46
TradingAgents: I Ran the 56k-Star Open-Source Hedge Fund (Full ...
10:10
TradingAgents : Best AI For Financial Trading - YouTube
07:05
TradingAgents: Multi-Agents LLM Financial Trading Framework - YouTube
Open-sourced a hedge fund - Python framework that ...
TauricResearch/TradingAgents Put an entire AI trading floor in ...
arXiv
arxiv.org › pdf › 2412.20138 pdf
Multi-Agents LLM Financial Trading Framework
trading. TRADINGAGENTS is available at https://github.com/TauricResearch/TradingAgents.
Tauric Research
tauric.ai
Tauric Research: Empowering market intelligence
... Advancing financial reasoning in LLMs via reinforcement learning. An AI-agent trading system built on the TradingAgents framework: analyst, researcher, trader, risk, and management agents working together behind optimized tools and interfaces.
Medium
medium.com › data-science-in-your-pocket › tradingagents-best-ai-agent-for-financial-trading-c0bd6e790bf0
TradingAgents : Best AI Agent for Financial Trading | by Mehul Gupta | Data Science in Your Pocket | Medium
May 5, 2026 - The core idea is simple: in real financial institutions, trading decisions are rarely made by one person. They go through multiple roles like analysts, researchers, risk managers, and portfolio managers. TradingAgents recreates this structure using AI agents, where each one focuses on a different part of market understanding.
GitHub
github.com › TauricResearch
Tauric Research · GitHub
Tauric Research's mission is to redefine trading intelligence through AI. We harness large language models, advanced reasoning, and autonomous agents to elevate trading excellence.
Reddit
reddit.com › r/algotrading › what do you think about this agent set up
r/algotrading on Reddit: what do you think about this agent set up
April 25, 2026 -
I have some background in Python and AI engineering, some slight background in finance (UC berkeley executive education classes). AI engineering is more of my gig right now. I'm currently rag training and paper trading an open source system. "chunks" are the books and data i have used to train the system. I'm still building, I've only been on paper trade for 4 days, fixed a few bugs in the research phase last week.
For those of you building AI agent trading systems from scratch. What has worked? what has not worked? Just curious if i'm putting too much time, and energy into the wrong direction. If you're curious about the models i'm using, please ask; however they were chosen to run on my hardware, and i might try a few others as time goes on. Does anyone have better luck with C++, and Rust?
Edit: I made a new post with an updated high level overview.
Top answer 1 of 35
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You have no idea what you are doing exactly and by design let all the AI choose and optimized etc., this is completely garbage producing results highly likely in the end. You could also just write your goal "let me make some money with trading", this is by far not enough. Anyone can do this nonsense as inputs.
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My 2 cents: Qwen3-8B for technical analysis is lightweight for complex multi-timeframe pattern recognition. It may hallucinate indicator interpretations LLMs are bad at numbers: Stop-loss and target prices generated by LLM reasoning often suffer from anchoring bias (e.g., rounding to psych levels) and may not respect actual volatility distributions "Deep" vs "fast" routing: the system assumes these are distinct, but there's no validation that "deep" actually produces better decisions. No feedback loop measuring whether deep reasoning beats fast reasoning No backtesting loop: The "Outcome scorer" runs daily but there's no indication it feeds back into model weights or agent prompts. It's just logging
Apidog
apidog.com › blog › tradingagents-multi-agent-llm-trading
TradingAgents:Open-Source LLM Trading Framework
May 7, 2026 - TradingAgents is a multi-agent LLM trading framework from Tauric Research, arXiv 2412.20138, open-sourced in 2025 and now at version 0.2.4.
Medium
medium.com › coding-nexus › i-gave-10000-to-my-ai-hedge-fund-team-to-book-me-some-profits-69f41b06fab9
I Gave $10,000 to My AI Hedge Fund Team To Book Me Some Profits | by Minervee | Coding Nexus | Medium
November 1, 2025 - TradingAgents is an open-source framework that turns large language models (LLMs) into a functioning hedge fund simulation.
DigitalOcean
digitalocean.com › community › conceptual-articles › tradingagents
TradingAgents - A LLM Framework for Financial Trading | DigitalOcean
June 4, 2025 - On the machine of your choice, clone the TradingAgents repo into the directory of your choice. git clone https://github.com/TauricResearch/TradingAgents
Trading-agents
trading-agents.ai
Trading Agents | Institutional-Grade Equity Research & Market Analysis
We cannot provide a description for this page right now
ADS
ui.adsabs.harvard.edu › abs › arXiv:2412.20138
TradingAgents: Multi-Agents LLM Financial Trading Framework - ADS
Detailed architecture and extensive experiments reveal its superiority over baseline models, with notable improvements in cumulative returns, Sharpe ratio, and maximum drawdown, highlighting the potential of multi-agent LLM frameworks in financial trading. TradingAgents is available at https://github.com/TauricResearch/TradingAgents.
X
x.com › murtuza_merc › status › 2035330930294837328
Murtuza J Merchant on X: "The TradingAgents framework essentially builds a digital version of a top tier hedge fund. Instead of one AI trying to do everything, it breaks the work down into specialized roles that check each other’s work. Here is exactly how the team of agents functions: The Analyst Team" / X
The TradingAgents framework essentially builds a digital version of a top tier hedge fund. Instead of one AI trying to do everything, it breaks the work down into specialized roles that check each other’s work.
LinkedIn
linkedin.com › pulse › daily-news-ai-agents-key-updates-0613-humans-needed-schwoebel-pa0ge
No Humans Needed: How Tauric Research's AI Agents Are ...
We cannot provide a description for this page right now
YouTube
youtube.com › watch
TradingAgents - YouTube
TradingAgents: Multi-Agents LLM Financial Trading Framework, https://github.com/TauricResearch/TradingAgents
Published June 5, 2025
X
x.com › pyquantnews › status › 1960324195167985899
PyQuant News 🐍 (@pyquantnews) on X
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
Finadium
finadium.com › researchers-build-agentic-ai-system-with-analysts-traders-risk-and-fund-managers
Researchers build agentic AI system with analysts, traders, risk and fund managers – Finadium
July 28, 2025 - Researchers from Tauric Research, ... agents in specialized roles such as fundamental analysts, sentiment analysts, technical analysts, and traders with varied risk profiles....
Zdoc
zdoc.app › en › TauricResearch › TradingAgents
TauricResearch/TradingAgents | zdoc.app
TradingAgents: Multi-Agents LLM Financial Trading Framework
alphaXiv
alphaxiv.org › overview › 2412.20138v7
TradingAgents: Multi-Agents LLM Financial Trading Framework | alphaXiv
June 3, 2025 - TradingAgents is a multi-agent LLM framework designed to mimic the specialized roles and collaborative decision-making processes of a financial trading fir
SourceForge
sourceforge.net › projects › tauric-tradingagents.mirror
Tauric TradingAgents download | SourceForge.net
April 30, 2026 - This is an exact mirror of the Tauric TradingAgents project, hosted at https://github.com/TauricResearch/TradingAgents.