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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:
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, orHOLD
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.