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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}
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},
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"format_version": 3,
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"model_path": "models/xauusd_sentiment.joblib",
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"model_type": "domain_augmented_tfidf_logistic_regression",
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"score_definition": "P(XAUUSD bullish) - P(XAUUSD bearish)",
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"sklearn_version": "1.9.1",
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"target": "XAUUSD",
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"training": {
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"database": "newsdata.db",
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"domain_features": [
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"explicit_xau_direction",
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"usd_direction",
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"treasury_yield_direction",
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"hawkish_or_dovish_policy"
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],
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"score_source": "llm",
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"target": "XAUUSD",
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"target_score_key": "XAU",
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"test_size": 0.2
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}
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}
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