Harwinder Sekhon
1d72e4006a
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>
26 lines
1.3 KiB
Plaintext
26 lines
1.3 KiB
Plaintext
DeepSeek deepseek-v4-flash, prompt d32e04c6; budget 20 calls
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pools: precise 3137, broad 20533 unlabelled; picked 500
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selected 500 unlabelled headlines
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250 labelled, 10 calls (0 failed), 0 from cache
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500 labelled, 20 calls (0 failed), 0 from cache
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this run: 20 calls, 0 failed, 500 headlines labelled
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1500 labelled headlines
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year n bear irrel bull relevant mean xau
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2009 4 0 4 0 0.0% +0.000
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2010 6 0 6 0 0.0% +0.000
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2011 9 0 9 0 0.0% +0.000
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2012 2 0 2 0 0.0% +0.000
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2015 8 0 8 0 0.0% +0.000
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2016 5 0 5 0 0.0% +0.000
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2017 12 0 12 0 0.0% +0.000
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2018 10 0 10 0 0.0% +0.000
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2019 149 13 112 16 19.5% +0.022
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2020 157 10 117 19 18.5% +0.042
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2021 201 17 154 23 19.9% +0.020
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2022 188 17 129 29 24.5% +0.034
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2023 194 13 150 19 16.5% +0.018
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2024 226 11 164 40 22.6% +0.066
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2025 191 17 117 38 28.8% +0.062
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2026 138 22 71 28 36.2% +0.004
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(relevant = |xau| >= 0.25, irrel = |xau| <= 0.10, the rest is the grey zone)
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