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

This repository currently contains 50 PyP Quant strategy templates.

Template	Pair	Timeframe	Model family	Use case
adausdt-volatility-rf-15m	ADAUSDT	15m	sklearn RandomForest	sklearn RandomForest PyP Quant template for ADAUSDT 15m.
audjpy-randomforest-1h	AUDJPY	1h	sklearn RandomForest	sklearn RandomForest PyP Quant template for AUDJPY 1h.
audusd-logistic-30m	AUDUSD	30m	sklearn LogisticRegression	sklearn LogisticRegression PyP Quant template for AUDUSD 30m.
avaxusdt-volatility-rf-30m	AVAXUSDT	30m	sklearn RandomForest	sklearn RandomForest PyP Quant template for AVAXUSDT 30m.
bnbusdt-trend-rf-30m	BNBUSDT	30m	sklearn RandomForest	sklearn RandomForest PyP Quant template for BNBUSDT 30m.
brentoil-trend-rf-1h	BRENTUSD	1h	sklearn RandomForest	sklearn RandomForest PyP Quant template for BRENTUSD 1h.
btcusdt-breakout-rf-15m	BTCUSDT	15m	sklearn RandomForest	sklearn RandomForest PyP Quant template for BTCUSDT 15m.
btcusdt-lightgbm-1h	BTCUSDT	1h	LightGBM	BTCUSDT LightGBM crypto trend classifier
btcusdt-mean-reversion-5m	BTCUSDT	5m	custom Python	custom Python PyP Quant template for BTCUSDT 5m.
cadjpy-breakout-1h	CADJPY	1h	sklearn RandomForest	sklearn RandomForest PyP Quant template for CADJPY 1h.
chfjpy-mean-reversion-1h	CHFJPY	1h	custom Python	custom Python PyP Quant template for CHFJPY 1h.
copperusd-mean-reversion-1h	COPPERUSD	1h	custom Python	custom Python PyP Quant template for COPPERUSD 1h.
dogeusdt-scalp-logistic-1m	DOGEUSDT	1m	sklearn LogisticRegression	sklearn LogisticRegression PyP Quant template for DOGEUSDT 1m.
dotusdt-mean-reversion-30m	DOTUSDT	30m	custom Python	custom Python PyP Quant template for DOTUSDT 30m.
ethusdt-volatility-classifier	ETHUSDT	30m	sklearn RandomForest	ETHUSDT volatility-aware directional classifier
eurgbp-range-classifier-30m	EURGBP	30m	sklearn LogisticRegression	sklearn LogisticRegression PyP Quant template for EURGBP 30m.
eurjpy-trend-rf-1h	EURJPY	1h	sklearn RandomForest	sklearn RandomForest PyP Quant template for EURJPY 1h.
eurnzd-volatility-rf-4h	EURNZD	4h	sklearn RandomForest	sklearn RandomForest PyP Quant template for EURNZD 4h.
eurusd-logistic-15m	EURUSD	15m	sklearn LogisticRegression	EURUSD logistic regression baseline classifier
eurusd-xgboost-1h	EURUSD	1h	XGBoost	EURUSD feature-rich XGBoost trend classifier
gbpjpy-breakout-rf-1h	GBPJPY	1h	sklearn RandomForest	sklearn RandomForest PyP Quant template for GBPJPY 1h.
gbpusd-breakout-rf	GBPUSD	30m	sklearn RandomForest	GBPUSD range breakout random forest classifier
gbpusd-logistic-15m	GBPUSD	15m	sklearn LogisticRegression	sklearn LogisticRegression PyP Quant template for GBPUSD 15m.
ger40-breakout-rf-30m	GER40	30m	sklearn RandomForest	sklearn RandomForest PyP Quant template for GER40 30m.
lightgbm-fx-multifeature	EURUSD	30m	LightGBM	Multi-feature FX LightGBM classifier
linkusdt-trend-logistic-30m	LINKUSDT	30m	sklearn LogisticRegression	sklearn LogisticRegression PyP Quant template for LINKUSDT 30m.
ltcusdt-trend-rf-1h	LTCUSDT	1h	sklearn RandomForest	sklearn RandomForest PyP Quant template for LTCUSDT 1h.
maticusdt-scalp-baseline-5m	MATICUSDT	5m	custom Python	custom Python PyP Quant template for MATICUSDT 5m.
nas100-breakout-rf-15m	NAS100	15m	sklearn RandomForest	sklearn RandomForest PyP Quant template for NAS100 15m.
naturalgas-volatility-rf-4h	NATGAS	4h	sklearn RandomForest	sklearn RandomForest PyP Quant template for NATGAS 4h.
nzdusd-mean-reversion-1h	NZDUSD	1h	custom Python	custom Python PyP Quant template for NZDUSD 1h.
oilwtico-atr-breakout-1h	WTICOUSD	1h	custom Python	custom Python PyP Quant template for WTICOUSD 1h.
onnx-export-sklearn-starter	EURUSD	1h	sklearn to ONNX	Sklearn classifier starter for ONNX export
solusdt-scalp-baseline	SOLUSDT	1m	custom Python	SOLUSDT high-volatility scalp baseline
spx500-trend-logistic-1h	SPX500	1h	sklearn LogisticRegression	sklearn LogisticRegression PyP Quant template for SPX500 1h.
statsmodels-arima-direction	EURUSD	1h	statsmodels	ARIMA-style statistical direction baseline
uk100-range-logistic-1h	UK100	1h	sklearn LogisticRegression	sklearn LogisticRegression PyP Quant template for UK100 1h.
us30-mean-reversion-30m	US30	30m	custom Python	custom Python PyP Quant template for US30 30m.
usdcad-trend-rf-1h	USDCAD	1h	sklearn RandomForest	sklearn RandomForest PyP Quant template for USDCAD 1h.
usdchf-range-logistic-1h	USDCHF	1h	sklearn LogisticRegression	sklearn LogisticRegression PyP Quant template for USDCHF 1h.
usdjpy-mean-reversion	USDJPY	1h	custom Python	USDJPY mean-reversion baseline
usdmxn-volatility-rf-4h	USDMXN	4h	sklearn RandomForest	sklearn RandomForest PyP Quant template for USDMXN 4h.
xagusd-atr-breakout-1h	XAGUSD	1h	custom Python	custom Python PyP Quant template for XAGUSD 1h.
xagusd-mean-reversion-30m	XAGUSD	30m	custom Python	custom Python PyP Quant template for XAGUSD 30m.
xauusd-atr-breakout	XAUUSD	15m	custom Python	XAUUSD ATR breakout rule baseline
xauusd-london-breakout-15m	XAUUSD	15m	custom Python	custom Python PyP Quant template for XAUUSD 15m.
xauusd-regime-xgboost-v11	XAUUSD	1h	XGBoost	Less restrictive Au-79-style XAUUSD regime classifier
xauusd-scalp-logistic-5m	XAUUSD	5m	sklearn LogisticRegression	sklearn LogisticRegression PyP Quant template for XAUUSD 5m.
xptusd-trend-rf-1h	XPTUSD	1h	sklearn RandomForest	sklearn RandomForest PyP Quant template for XPTUSD 1h.
xrpusdt-breakout-rf-15m	XRPUSDT	15m	sklearn RandomForest	sklearn RandomForest PyP Quant template for XRPUSDT 15m.

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.