u/tattoosbyhannah ·
Reddit — r/algotrading
· April 21, 2026 at 18:24
· ⬆ 15 pts
· 💬 61 comments
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AI Summary
Summary
The post is an AI engineer sharing their early-stage development of an AI agent trading system, asking for community feedback on methodology and technology stack.
The author's thesis is that an AI agent system, built with open-source models and trained on financial texts/data, can be developed into a viable trading system, though they are seeking validation of their approach.
Quality assessment: This is speculative noise. The author is in a very early, unstructured research and paper-trading phase with no results, data, or specific strategy shared. The high-scoring comments are highly critical of the fundamental approach.
Score15
Comments61
Upvote %60%
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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?