Something worked: chore(learning): refresh model and rag artifacts from historical backfill.
What happened: chore(learning): refresh model and rag artifacts from historical backfill;style: Auto-format with ruff;feat(learning): add autonomous historical RLHF/RAG backfill pipeline;
After 71 feedback signals, the system's success rate sits at 50%. Each positive signal reinforces what's working.
Architecture
Thompson Sampling: how the system learns from feedback (PaperBanana)
Current state: 44 positive / 27 negative = 50% success rate after 71 signals.
Technical Details
Recent commits:
chore(learning): refresh model and rag artifacts from historical backfillstyle: Auto-format with rufffeat(learning): add autonomous historical RLHF/RAG backfill pipelinefeat(trading): boost IC capacity — expiry diversification, 3x scans, 2x contractschore: Sync dashboard data [auto]
Thompson Sampling state: alpha=1, beta=1 (Beta-Bernoulli, 30-day decay).
Building in public. 71 feedback signals and counting.
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