15 lines
593 B
Markdown
15 lines
593 B
Markdown
# ML Signal Scanner
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## Current Understanding
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Uses a trained ML model to predict short-term price movement probability. Current
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threshold of 35% win probability is worse than a coin flip — the model needs
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retraining or the threshold needs raising to 55%+ to be useful. Signal quality
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depends heavily on feature freshness; stale features degrade performance.
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## Evidence Log
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_(populated by /iterate runs)_
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## Pending Hypotheses
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- [ ] Does raising the threshold to 55%+ improve precision at the cost of recall?
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- [ ] Would retraining on the last 90 days of recommendations improve accuracy?
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