# 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.