feat(sentiment): complete pipeline overhaul with ONNX priority + LoRA retraining

- 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

sentiment_engine/run_labeling.py

@@ -0,0 +1,57 @@
+import asyncio
+import json
+import sys
+sys.path.insert(0, 'src')
+
+from labeling_pipeline import LabelingPipelineRunner
+
+async def main():
+    runner = LabelingPipelineRunner()
+    
+    real_events = [
+        {'text': 'Bitcoin hits new all-time high of $108,000 as institutional inflows surge. BlackRock IBIT ETF sees record $1.2B daily inflow.', 'source_id': 'bloomberg', 'source_type': 'news', 'credibility': 0.95},
+        {'text': 'Ethereum Dencun upgrade goes live on mainnet. Proto-Danksharding (EIP-4844) activates, reducing L2 transaction fees by 90%.', 'source_id': 'ethereum_foundation', 'source_type': 'news', 'credibility': 0.98},
+        {'text': 'SEC approves spot Bitcoin ETFs for 11 issuers including BlackRock, Fidelity, ARK. Trading begins Thursday.', 'source_id': 'sec_gov', 'source_type': 'news', 'credibility': 1.0},
+        {'text': 'Major hack: Radiant Capital loses $50M in exploit. Attacker exploits rounding error in lending market. Funds moved to Tornado Cash.', 'source_id': 'peckshield', 'source_type': 'news', 'credibility': 0.95},
+        {'text': 'Binance delists Monero (XMR), Zcash (ZEC), and 4 other privacy coins. Cites regulatory compliance review.', 'source_id': 'binance', 'source_type': 'news', 'credibility': 0.9},
+        {'text': 'MicroStrategy buys additional 12,000 BTC at $61M. Total holdings now 190,000 BTC. Stock MSTR up 15% premarket.', 'source_id': 'microstrategy', 'source_type': 'news', 'credibility': 0.95},
+        {'text': 'Solana network experiences 5-hour outage. Validators restart cluster. SOL drops 8% on news.', 'source_id': 'solana_foundation', 'source_type': 'news', 'credibility': 0.9},
+        {'text': 'SEC sues Kraken for operating unregistered securities exchange. Alleged commingling of customer funds.', 'source_id': 'sec_gov', 'source_type': 'news', 'credibility': 1.0},
+        {'text': 'Circle USDC depegs to $0.97 after SVB exposure revealed. $3.3B reserves stuck at SVB. Arbitrage bots profit.', 'source_id': 'circle', 'source_type': 'news', 'credibility': 0.95},
+        {'text': 'Bitcoin ETF inflows hit record $2.1B in single week. IBIT alone sees $1.2B. Cumulative AUM passes $50B.', 'source_id': 'bloomberg', 'source_type': 'news', 'credibility': 0.9},
+        {'text': 'Arbitrum DAO approves $200M ARB grant program for gaming ecosystem. Voting passes with 92% approval.', 'source_id': 'arbitrum_dao', 'source_type': 'news', 'credibility': 0.85},
+        {'text': 'EigenLayer restaking TVL hits $20B. ETH restaking becomes largest DeFi category. Points season 2 announced.', 'source_id': 'eigenlayer', 'source_type': 'news', 'credibility': 0.85},
+        {'text': 'Curve Finance hit by $50M exploit. Vyper compiler bug affects multiple pools. CRV drops 20%.', 'source_id': 'peckshield', 'source_type': 'news', 'credibility': 0.95},
+        {'text': 'Coinbase lists Pepe (PEPE) and Bonk (BONK) memecoins. Trading opens with 100x volume spike.', 'source_id': 'coinbase', 'source_type': 'news', 'credibility': 0.85},
+        {'text': 'SEC charges Uniswap Labs with operating unregistered securities exchange. UNI drops 15%.', 'source_id': 'sec_gov', 'source_type': 'news', 'credibility': 1.0},
+        {'text': 'Bitcoin hits $100,000 for first time ever. MicroStrategy, ETFs, and sovereign buying drive rally.', 'source_id': 'coindesk', 'source_type': 'news', 'credibility': 0.95},
+        {'text': 'Hyperliquid DEX launches HYPE token airdrop. $1.2B TVL locked. Points program drives volume.', 'source_id': 'hyperliquid', 'source_type': 'news', 'credibility': 0.85},
+        {'text': 'Pump.fun revenue hits $100M in 30 days. Memecoin factory launches 50k tokens/day. SOL fees surge.', 'source_id': 'pumpfun', 'source_type': 'news', 'credibility': 0.85},
+        {'text': 'dYdX chain migration to Cosmos complete. V4 mainnet launches with 0.02s block times. DYDX token migration.', 'source_id': 'dydx', 'source_type': 'news', 'credibility': 0.85},
+        {'text': 'Wintermute market maker loses $20M in exploit. Private key compromise suspected. Funds returned.', 'source_id': 'wintermute', 'source_type': 'news', 'credibility': 0.9},
+        {'text': 'OKX delists USDT trading pairs in EEA region. MiCA compliance cited. USDT/USD pairs remain.', 'source_id': 'okx', 'source_type': 'news', 'credibility': 0.9},
+        {'text': 'Ethereum Pectra upgrade activated. EIP-7702 account abstraction live. EOAs can now batch transactions.', 'source_id': 'ethereum_foundation', 'source_type': 'news', 'credibility': 0.95},
+    ]
+    
+    samples = []
+    for i, event in enumerate(real_events):
+        samples.append({
+            'id': f'label_{i+1:02d}',
+            'raw_text': event['text'],
+            'source_id': event['source_id'],
+            'source_type': event['source_type'],
+            'credibility': event['credibility']
+        })
+    
+    with open('data/to_label_verified.jsonl', 'w') as f:
+        for s in samples:
+            f.write(json.dumps(s) + '\n')
+    
+    results = await runner.run_on_dataset('data/to_label_verified.jsonl', 'data/labeled_verified.jsonl')
+    
+    print(f'Labeled {len(results)} samples')
+    for r in results:
+        print(f"  {r['labels']['sentiment']} | {r['labels']['event_type']} | verified={r['verified']} conf={r['confidence']['verification']:.2f}")
+
+if __name__ == '__main__':
+    asyncio.run(main())