I spent about an hour looking at the code and found some glaring issues that should be fixed before trusting it with real money.

- Yahoo News is introduced twice (sentiment and news analysis) which double weights it

- Sentiment analysis prompt primes the model to be bullish on Nvidia.

- In the self learning loop there is a complex parsing bug that results in hallucinated memories when agents return truncated responses

- You can completely control sentiment analysis of a subreddit by simply maintaining a majority of the 5 most recently posted messages, regardless of any quality metric

- The reflection prompt states the agent must cite alpha, which in a market wide downturn causes it to think correctly placed calls were losses