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feat: expand quant templates to fifty projects

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@@ -26,20 +26,60 @@ Every project includes:
## Templates
This repository currently contains 50 PyP Quant strategy 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 |
| `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