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README.md

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+---
+license: mit
+task_categories:
+  - text-generation
+  - text2text-generation
+language:
+  - en
+tags:
+  - finance
+  - trading
+  - options
+  - quantitative
+size_categories:
+  - 10K<n<100K
+---
+
+# QS DeepSeek Platinum v3
+
+High-quality training dataset for DeepSeek trading model.
+
+## Dataset Details
+
+- **Total samples:** 17,212
+- **Format:** OpenAI messages format (system/user/assistant)
+- **Sources:** 
+  - qs-deepseek-platinum-15k (HF)
+  - Synthetic negative examples
+  - Live signals from Supabase
+
+## Data Quality
+
+| Metric | Value |
+|--------|-------|
+| Positive PnL | 74.4% |
+| Negative PnL | 25.5% |
+| Avg message length | 2,220 chars |
+| Max message length | 8,922 chars |
+
+## Label Distribution
+
+- Neutral/Hold: 35.9%
+- Strong Buy: 20.1%
+- Strong Sell: 16.2%
+- Buy: 13.0%
+- Sell: 10.4%
+
+## Improvements from v2
+
+1. **More negative examples** (25.5% vs 2.3%)
+2. **Larger dataset** (17k vs 13k)
+3. **Length filtered** (max 9k chars)
+4. **Merged with live data**
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("henryzhang2024/qs-deepseek-platinum-v3")
+```
+
+## License
+
+MIT