I built an autonomous trading system where the AI makes every decision — what to trade, when, position sizing, everything. No human overrides. Deployed real capital and it returned +57.9% ($247 to $391) across 50 trades. I want to talk about what actually happened, not just the headline.
The system tested 131 distinct strategy hypotheses. I formally killed 12 of them. Two more I rejected after they hit their evidence-gathering deadline with exactly zero evidence. That part matters as much as the wins. Most trading projects show you the cherry-picked trades. This one documents the dead strategies with equal rigor because that's what teaches you how to build actual edges.
Here's the honest assessment: the 57.9% came from a single concentrated session on March 11 between 3-8 AM ET. The win rate across that period was 51.4%, profit factor 1.01. I haven't replicated it yet. Annualizing a three-hour return would be ridiculous. What I have proven is that autonomous execution works mechanically and the narrow edge I found is real enough to trade and test further.
The value isn't the P&L number. It's the engineering: a fully working framework for agent-driven quantitative trading with kill rules, audit trails, probability calibration, and complete failure documentation. Everything is in the repo. 1,397 tests pass.
h16zed•2h ago
The system tested 131 distinct strategy hypotheses. I formally killed 12 of them. Two more I rejected after they hit their evidence-gathering deadline with exactly zero evidence. That part matters as much as the wins. Most trading projects show you the cherry-picked trades. This one documents the dead strategies with equal rigor because that's what teaches you how to build actual edges.
Here's the honest assessment: the 57.9% came from a single concentrated session on March 11 between 3-8 AM ET. The win rate across that period was 51.4%, profit factor 1.01. I haven't replicated it yet. Annualizing a three-hour return would be ridiculous. What I have proven is that autonomous execution works mechanically and the narrow edge I found is real enough to trade and test further.
The value isn't the P&L number. It's the engineering: a fully working framework for agent-driven quantitative trading with kill rules, audit trails, probability calibration, and complete failure documentation. Everything is in the repo. 1,397 tests pass.
I also wrote up the complete methodology as a 61-page guide: https://bradleyhaven.gumroad.com/l/agentic-trading-blueprint
Looking for technical feedback and collaborators.