I built a Python library that lets you run a committee of AI investment agents - each modeled on a different legendary investor's philosophy.
You give it stock tickers. Warren Buffett analyzes the moat. Michael Burry hunts for the contrarian case. Cathie Wood projects 5-year disruption. Charlie Munger looks for reasons NOT to invest. Then they vote.
pip install neuforge-legends
from neuforge import LegendsPool
pool = LegendsPool() # needs GROQ_API_KEY (free tier)
result = pool.analyze(["NVDA", "TSLA"], package="pro")
print(result.summary())
Output:
[BUY ] Warren Buffett: NVDA has an extraordinary moat in AI compute infrastructure...
[BUY ] Michael Burry: Contrarian thesis holds - data center demand underpriced...
[HOLD] Charlie Munger: Quality is undeniable but price leaves thin margin of safety...
[BUY ] Cathie Wood: NVDA is the backbone of the AI revolution...
Consensus: STRONG BUY | Confidence: 80%
Runs on Groq's free API so it costs essentially nothing to run locally. Hosted version with copy trading: https://neuforge.app/legends
I built a Python library that lets you run a committee of AI investment agents - each modeled on a different legendary investor's philosophy.
You give it stock tickers. Warren Buffett analyzes the moat. Michael Burry hunts for the contrarian case. Cathie Wood projects 5-year disruption. Charlie Munger looks for reasons NOT to invest. Then they vote.
Output: [BUY ] Warren Buffett: NVDA has an extraordinary moat in AI compute infrastructure... [BUY ] Michael Burry: Contrarian thesis holds - data center demand underpriced... [HOLD] Charlie Munger: Quality is undeniable but price leaves thin margin of safety... [BUY ] Cathie Wood: NVDA is the backbone of the AI revolution...Consensus: STRONG BUY | Confidence: 80%
Runs on Groq's free API so it costs essentially nothing to run locally. Hosted version with copy trading: https://neuforge.app/legends