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