Initial import: XAUUSD news sentiment models, evals, and data tooling
TF-IDF baseline (news_sentiment.py, models/xauusd_sentiment.joblib) and the two-head DeBERTa-v3-small transformer (transformer/, news_transformer.py) with its Google News crawler and DeepSeek labeller (data_collect/), the golden-set and archive evals (eval/), and the 2026-09-22 and 2026-09-27 results and progress notes. Transformer weights (model.pt, model.onnx) and the crawl database are not tracked; rebuild with transformer/train.py and transformer/export_onnx.py. The DeepSeek label cache in data/ is tracked. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
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400 weekly windows x 15 queries; 0 done, 6000 to go
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100 requests, window 2019-09-16, 3531 unique headlines, 26 req/min
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200 requests, window 2025-02-17, 7506 unique headlines, 26 req/min
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300 requests, window 2019-06-10, 11313 unique headlines, 26 req/min
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400 requests, window 2021-06-28, 15496 unique headlines, 25 req/min
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500 requests, window 2025-09-15, 19338 unique headlines, 25 req/min
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