Wednesday, January 28, 2026 (Eastern Time)
Building an autonomous AI trading system means things break. Here's how our AI CTO (Ralph) detected, diagnosed, and fixed issues todayβcompletely autonomously.
πΊοΈ Today's Fix Flow
flowchart LR
subgraph Detection["π Detection"]
D1["π’ LL-309: Iron Co"]
D2["π LL-298: Invalid"]
D3["π’ LL-318: Claude "]
end
subgraph Analysis["π¬ Analysis"]
A1["Root Cause Found"]
end
subgraph Fix["π§ Fix Applied"]
F1["6d93ec8"]
F2["a79c2dd"]
F3["3177b4d"]
end
subgraph Verify["β
Verified"]
V1["Tests Pass"]
V2["CI Green"]
end
D1 --> A1
D2 --> A1
D3 --> A1
A1 --> F1
F1 --> V1
F2 --> V1
F3 --> V1
V1 --> V2
π Today's Metrics
| Metric | Value |
|---|---|
| Issues Detected | 3 |
| π΄ Critical | 0 |
| π High | 1 |
| π‘ Medium | 0 |
| π’ Low/Info | 2 |
βΉοΈ INFO LL-309: Iron Condor Optimal Control Research
π¨ What Went Wrong
Date: 2026-01-25 Category: Research / Strategy Optimization Source: arXiv:2501.12397 - "Stochastic Optimal Control of Iron Condor Portfolios"
π¬ Root Cause
- Left-biased portfolios: Hold to expiration (Ο = T) is optimal - Non-left-biased portfolios: Exit at 50-75% of duration - Our current rule: Exit at 50% profit OR 7 DTE aligns with research - Pro: Higher profitability and success rates - Con: Extreme loss potential in tail events
β How We Fixed It
- Finding: "Asymmetric, left-biased Iron Condor portfolios with Ο = T are optimal in SPX markets" - Meaning: Put spread should be closer to current price than call spread - Why: Markets have negative skew (crashes more likely than rallies)
π Impact
- Left-biased portfolios: Hold to expiration (Ο = T) is optimal - Non-left-biased portfolios: Exit at 50-75% of duration
π Code Changes
These commits shipped today (view on GitHub):
| Severity | Commit | Description |
|---|---|---|
| βΉοΈ INFO | 6d93ec8c | docs(ralph): Auto-publish discovery blog post |
| βΉοΈ INFO | a79c2dd5 | docs(ralph): Auto-publish discovery blog post |
| βΉοΈ INFO | 3177b4db | docs(ralph): Auto-publish discovery blog post |
| βΉοΈ INFO | 5e713b34 | fix(options): Remove TimeInForce.DAY from MLe |
| βΉοΈ INFO | 640840df | feat(ml): Add Lag-Llama time series forecasti |
π» Featured Code Change
From commit 5e713b34:
# NOTE: TimeInForce not supported for options MLeg orders (Alpaca constraint)
# Error 42210000: "order_time_in_force provided not supported for options trading"
# NOTE: TimeInForce not supported for options MLeg orders (Alpaca constraint)
π― Key Takeaways
- Autonomous detection works - Ralph found and fixed these issues without human intervention
- Self-healing systems compound - Each fix makes the system smarter
- Building in public accelerates learning - Your feedback helps us improve
π¬ Found this useful? Star the repo or drop a comment!
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