- Added 30 new sources (5 RSS + 25 Telegram) for previously ZERO-coverage assets - Fixed model loading priority: ONNX > LoRA v2 > PyTorch > Mock - ONNX FinBERT (pre-trained on 1.2M financial docs) now PRIMARY - best for real-world text - LoRA v2 models trained on 518 carefully labeled samples (balanced Bearish/Bullish/Neutral) - Emotion LoRA v2 trained with weighted loss (greed/fear 2x, joy 1.5x) - 30 new sources: STX, FET, XTZ, ENJ, ETC, TRX, ONG, DASH, LTC, ZIL, NEAR, APT, SUI, ICP - Early stopping (patience=3) on both LoRA trainings - Human-in-the-loop verification CLI tool created - Disk-conscious: save_total_limit=1, adapters 6-8MB each Pipeline now correctly classifies: - BTC breaks 100k → +0.54 Bullish ✅ - Major hack → -0.23 Bearish ✅ - HODL → +0.91 Bullish ✅ - Rug pull → -0.30 Bearish ✅ - SEC sues → -0.30 Bearish ✅ - ETF approval → +0.32 Bullish ✅ - Whale accumulation → +0.31 Bullish ✅ Models: ONNX FinBERT (PRIORITY 1) + LoRA v2 adapters (6-8MB each) Training data: 518 carefully labeled samples (190 real + 328 synthetic) Early stopping (patience=3) on both FinBERT and DistilRoBERTa LoRA Emotion LoRA v2: weighted loss (greed/fear 2x, joy 1.5x) + early stopping
137 lines
2.5 KiB
JSON
137 lines
2.5 KiB
JSON
{
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"trade_summary": {
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"ENJ": {
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"total_pnl": -783.84,
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"total_roi": -0.044,
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"wins": 0,
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"losses": 1,
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"net_side": "SHORT"
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},
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"TRX": {
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"total_pnl": 0.0,
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"total_roi": 0.0,
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"wins": 0,
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"losses": 1,
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"net_side": "SHORT"
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},
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"ZIL": {
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"total_pnl": -20254.12,
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"total_roi": -1.127,
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"wins": 0,
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"losses": 2,
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"net_side": "SHORT"
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},
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"ONG": {
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"total_pnl": 13587.47,
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"total_roi": 0.762,
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"wins": 2,
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"losses": 0,
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"net_side": "LONG"
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},
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"LINK": {
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"total_pnl": 157.83,
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"total_roi": 0.009,
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"wins": 1,
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"losses": 0,
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"net_side": "LONG"
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},
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"ONE": {
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"total_pnl": 15873.91,
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"total_roi": 0.901,
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"wins": 3,
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"losses": 1,
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"net_side": "LONG"
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},
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"STX": {
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"total_pnl": 8485.55,
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"total_roi": 0.478,
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"wins": 2,
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"losses": 1,
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"net_side": "LONG"
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},
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"ALGO": {
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"total_pnl": 8095.54,
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"total_roi": 0.462,
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"wins": 1,
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"losses": 0,
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"net_side": "LONG"
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},
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"DASH": {
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"total_pnl": -929.8299999999999,
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"total_roi": -0.052,
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"wins": 1,
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"losses": 2,
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"net_side": "SHORT"
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},
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"XTZ": {
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"total_pnl": 875.78,
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"total_roi": 0.05,
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"wins": 2,
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"losses": 0,
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"net_side": "SHORT"
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},
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"ETC": {
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"total_pnl": 0.0,
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"total_roi": 0.0,
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"wins": 0,
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"losses": 1,
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"net_side": "SHORT"
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},
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"DOGE": {
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"total_pnl": 863.83,
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"total_roi": 0.049,
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"wins": 1,
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"losses": 0,
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"net_side": "LONG"
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},
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"XLM": {
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"total_pnl": 57.37,
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"total_roi": 0.003,
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"wins": 1,
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"losses": 0,
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"net_side": "LONG"
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},
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"LTC": {
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"total_pnl": -640.4,
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"total_roi": -0.036,
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"wins": 0,
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"losses": 1,
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"net_side": "SHORT"
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},
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"FET": {
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"total_pnl": 939.7,
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"total_roi": 0.053,
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"wins": 1,
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"losses": 0,
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"net_side": "LONG"
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}
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},
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"sentiment_summary": {
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"DOGE": {
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"avg_polarity": 0.15,
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"avg_confidence": 0.375,
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"count": 2
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},
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"DASH": {
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"avg_polarity": 0.3,
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"avg_confidence": 0.44999999999999996,
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"count": 1
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},
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"ONE": {
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"avg_polarity": 0.06,
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"avg_confidence": 0.32999999999999996,
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"count": 5
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},
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"LINK": {
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"avg_polarity": 0.0,
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"avg_confidence": 0.3,
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"count": 1
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}
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},
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"accuracy": {
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"correct": 1,
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"wrong": 3,
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"no_data": 11,
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"pct": 25.0
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}
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} |