lukiIabs

lukiIabs / trading-agents

Public

TradingAgents LLM multi-agent finance trading stocks crypto fintech quantitative algo trading sentiment analysis OpenAI JavaScript Node.js research OSS

github.comlukiIabstrading-agents agents algorithmic-trading crypto finance fintech
71
0
69% credibility
Found May 01, 2026 at 71 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
Python
AI Summary

An open-source multi-agent framework using AI to simulate trading firm roles for stock analysis and decision-making.

How It Works

1
🔍 Discover TradingAgents

You stumble upon this open-source AI tool on GitHub that lets everyday people simulate a team of trading experts analyzing stocks.

2
📥 Get it ready

Download the project and connect your favorite AI service with a simple setup so the agents can think and chat.

3
📊 Pick your stock

Choose a company stock ticker like NVDA or AAPL and a past date to analyze, just like picking what to research.

4
🤖 Watch the team analyze

Launch the analysis and see the AI analysts, researchers, trader, and risk team debate and build a full report right before your eyes.

5
📈 Review the insights

Read the detailed reports from market trends, news, fundamentals, and the final buy/sell recommendation with reasons why.

✅ Get your trading signal

You now have a clear, researched investment decision to explore further, all from a fun AI trading simulation.

Sign up to see the full architecture

4 more

Sign Up Free

Star Growth

See how this repo grew from 71 to 71 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is trading-agents?

TradingAgents runs a simulated trading firm using LLM-powered agents to analyze stocks or crypto on any past date. Pick a ticker like NVDA and a date like 2024-05-10, and it delivers analyst reports on fundamentals, market trends, news, and sentiment, followed by bull/bear debates, trader proposals, and risk/portfolio decisions—all output as markdown reports with ratings like Buy/Sell. The JS/Node.js CLI (`npx tradingagents propagate`) or API makes it dead simple, pulling data from yfinance or Alpha Vantage, with Docker support and multi-LLM backends like OpenAI or Anthropic.

Why is it gaining traction?

It mirrors real trading teams with structured agent debates and decisions, plus memory logs that reflect on past outcomes for smarter future calls—rare in ai trading agents github projects. Multi-provider LLM support, live CLI progress tracking, and JS runtime lower barriers vs Python-heavy alternatives. The arXiv paper and Discord community fuel experiments in trading agents multi-agent llm financial trading framework.

Who should use this?

Quant devs backtesting LLM-driven strategies, fintech engineers prototyping sentiment-based algos, or researchers in trading agents ai exploring multi-agent finance sims. Ideal for crypto trading agents github tinkers or anyone simulating portfolio decisions without live capital risk.

Verdict

Grab it for research prototypes—CLI demos shine, docs are solid—but 71 stars and 0.7% credibility score mean it's early; watch upstream TauricResearch for stability. Strong start for trading agents github experimentation.

(198 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.