PyP Quant Trading Strategy Templates

Open-source Python quant trading strategy templates for PyP Quant Mode.

This repository is a public, educational starter library for traders who want to build quantitative trading strategies with Python, validate them with PyP PPE simulation, and deploy live signals through the PyP platform.

These examples are intentionally safe starter projects. They are not financial advice, not live performance claims, and not recommendations to trade any instrument.

What Is Inside

Each template follows the PyP Quant Mode contract:

def train(data, config):
    return model, metrics

def predict(model, market_data, config):
    return {"signal": "UP|DOWN|HOLD", "confidence": 0.0, "metadata": {}}

Every project includes:

• strategy.py
• quant.config.json
• README.md

Templates

Template	Pair	Timeframe	Model family	Use case
eurusd-logistic-15m	EURUSD	15m	sklearn	Baseline directional classifier
eurusd-xgboost-1h	EURUSD	1h	XGBoost	Feature-rich trend classifier
gbpusd-breakout-rf	GBPUSD	30m	sklearn RandomForest	Range breakout classifier
usdjpy-mean-reversion	USDJPY	1h	sklearn	Mean reversion baseline
xauusd-regime-xgboost-v11	XAUUSD	1h	XGBoost	Less restrictive Au-79-style gold model
xauusd-atr-breakout	XAUUSD	15m	custom Python	ATR breakout rules
btcusdt-lightgbm-1h	BTCUSDT	1h	LightGBM	Crypto trend classifier
ethusdt-volatility-classifier	ETHUSDT	30m	sklearn	Volatility regime classifier
solusdt-scalp-baseline	SOLUSDT	1m	custom Python	High-volatility scalp baseline
onnx-export-sklearn-starter	EURUSD	1h	sklearn to ONNX	ONNX export starter
statsmodels-arima-direction	EURUSD	1h	statsmodels	Statistical direction baseline
lightgbm-fx-multifeature	EURUSD	30m	LightGBM	Multi-feature FX classifier

Use With PyP

1. Open PyP Quant Mode: https://pyp.stanlink.online/projects/quant/new
2. Create a new quant project.
3. Copy a template's strategy.py and quant.config.json.
4. Run a training job.
5. Validate with PPE simulation.
6. Deploy only after the strategy produces acceptable out-of-sample behavior.

PyP Links

• Quant landing page: https://pyp.stanl.ink/for-quant-traders
• Quant docs: https://pyp.stanl.ink/docs/quant/what-is-quant-mode
• Create a quant project: https://pyp.stanlink.online/projects/quant/new

Risk Disclaimer

Trading foreign exchange, CFDs, crypto, and leveraged products involves substantial risk. These templates are educational examples only. Past performance and simulated results do not guarantee future performance.