detecting local extremes and training on them
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23
testcases/negative/case_index.json
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23
testcases/negative/case_index.json
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{
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"cases": [
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{
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"case_id": "loss_20250527_022635_ETHUSDT",
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"timestamp": "2025-05-27T02:26:35.435596",
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"symbol": "ETH/USDT",
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"loss_amount": 3.0,
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"loss_percentage": 1.0,
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"training_priority": 1,
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"retraining_count": 0
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},
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{
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"case_id": "loss_20250527_022710_ETHUSDT",
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"timestamp": "2025-05-27T02:27:10.436995",
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"symbol": "ETH/USDT",
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"loss_amount": 30.0,
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"loss_percentage": 5.0,
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"training_priority": 3,
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"retraining_count": 0
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}
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],
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"last_updated": "2025-05-27T02:27:10.449664"
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}
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