gavindiaz/quant-trading-strategy-templates

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root 61a0d5b596 feat: expand quant templates to fifty projects

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quant.config.json

feat: expand quant templates to fifty projects

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README.md

feat: expand quant templates to fifty projects

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strategy.py

feat: expand quant templates to fifty projects

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README.md

adausdt-volatility-rf-15m

ADA volatility classifier for PyP Quant Mode.

This is an educational starter template for ADAUSDT on the 15m 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: ADAUSDT
Timeframe: 15m
Family: sklearn RandomForest
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.