generated from mathias/template-go-web
mathiasandClaude Opus 4.8
485fdaa9f9
fetch_data.py politely pulls EUR/USD M1 from histdata.com (maintained package handles the anti-hotlink token; per-year, spaced). prepare_data.py (LOCKED per Phase-1 contract) parses M1 -> daily series with realized_vol = the val_vol_r2 target (sqrt sum of squared intraday returns). Verified on 2019-2021: 937 days, March-2020 COVID RV spike 5.1x over 2019 median — real signal, target works. Data gitignored (DVC/MinIO = #10). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
9 lines
383 B
Plaintext
9 lines
383 B
Plaintext
# Python deps for the autoresearch loop (train.py + scripts). Install torch from
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# the cu130 index FIRST (koala Blackwell sm_120, torch 2.12.1+cu130 verified):
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# pip install torch --index-url https://download.pytorch.org/whl/cu130
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# pip install -r requirements.txt
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numpy>=2.0
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pandas>=2.2
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pyarrow>=16
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histdata>=1.3 # histdata.com downloader (handles the tk token politely)
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