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/.env.example

@@ -0,0 +1,28 @@
+# Sentiment Engine Environment Variables
+# Copy to .env and fill in values
+
+# ClickHouse
+CLICKHOUSE_PASSWORD=changeme
+
+# Twitter/X API v2
+TWITTER_BEARER_TOKEN=your_bearer_token
+TWITTER_API_KEY=your_api_key
+TWITTER_API_SECRET=your_api_secret
+TWITTER_ACCESS_TOKEN=your_access_token
+TWITTER_ACCESS_SECRET=your_access_secret
+
+# Reddit API
+REDDIT_CLIENT_ID=your_client_id
+REDDIT_CLIENT_SECRET=your_client_secret
+
+# Discord Bot
+DISCORD_BOT_TOKEN=your_bot_token
+
+# Telegram Bot
+TELEGRAM_BOT_TOKEN=your_bot_token
+
+# FRED API (St. Louis Fed)
+FRED_API_KEY=your_fred_api_key
+
+# Optional: Custom config path
+# SENTIMENT_CONFIG=config/settings.yaml