Building an autonomous AI trading system means things break. Here's what we discovered, fixed, and learned today.
LL-277: Iron Condor Optimization Research - 86% Win Rate Strategy
The Problem: Date: January 21, 2026 Category: strategy, research, optimization Severity: HIGH
What We Did: - Options Trading IQ: Iron Condor Success Rate - Project Finance: Iron Condor Management (71,417 trades) | Short Strike Delta | Win Rate |
The Takeaway: |-------------------|----------| | 10-15 delta | 86% |
Code Changes
These commits shipped today (view on GitHub):
| Commit | Description |
|---|---|
| 700ed4fe | docs(ralph): Auto-publish discovery blog post |
| 931c5e90 | chore(ralph): CI iteration ✅ |
| 83b045c2 | docs(ralph): Auto-publish discovery blog post |
| a27587fe | docs(ralph): Auto-publish discovery blog post |
| d7c3ca54 | docs(ralph): Auto-publish discovery blog post |
Why We Share This
Every bug is a lesson. Every fix makes the system stronger. We're building in public because:
- Transparency builds trust - See exactly how an autonomous trading system evolves
- Failures teach more than successes - Our mistakes help others avoid the same pitfalls
- Documentation prevents regression - Writing it down means we won't repeat it
This is part of our journey building an AI-powered iron condor trading system targeting financial independence.
Resources:
- Source Code
- Strategy Guide
- The Silent 74 Days - How we built a system that did nothing
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