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

Open PyP Quant Mode: https://pyp.stanlink.online/projects/quant/new
Create a new quant project.
Copy a template's strategy.py and quant.config.json.
Run a training job.
Validate with PPE simulation.
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.