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# usdchf-range-logistic-1h
USDCHF range classifier for PyP Quant Mode.
This is an educational starter template for `USDCHF` on the `1h` timeframe. It implements the PyP Quant contract:
```python
train(data, config)
predict(model, market_data, config)
```
Use it as a baseline, then validate with PPE before any live deployment.
## Model
- Symbol: `USDCHF`
- Timeframe: `1h`
- Family: `sklearn LogisticRegression`
- Output: `UP`, `DOWN`, or `HOLD`
## PyP Links
- Quant docs: https://pyp.stanl.ink/docs/quant/what-is-quant-mode
- Quant landing page: https://pyp.stanl.ink/for-quant-traders
- Create project: https://pyp.stanlink.online/projects/quant/new
## Risk
This is not financial advice and is not a verified profitable strategy.