├── .devcontainer ├── Dockerfile └── devcontainer.json ├── .github ├── CODEOWNERS ├── ISSUE_TEMPLATE.md ├── PULL_REQUEST_TEMPLATE.md └── workflows │ └── main.yml ├── .gitignore ├── .vscode └── settings.json ├── CONTRIBUTING.md ├── LICENSE ├── NOTICE ├── README.md ├── notebooks-course ├── 01A_Data Preprocessing.ipynb ├── 01B_Data Preprocessing.ipynb ├── 02A_Machine Learning Classification Model.ipynb ├── 02B_Machine Learning Classification Model.ipynb ├── 03A_Backtesting ML Classification-Based.ipynb ├── 03B_Backtesting ML Classification-Based.ipynb ├── 03C_Backtesting ML Classification-Based.ipynb ├── 03D_Backtesting ML Classification-Based.ipynb ├── 04A_Machine Learning Regression Model.ipynb ├── 04B_Machine Learning Regression Model.ipynb ├── 05A_Backtesting ML Regression-Based.ipynb ├── 05B_Backtesting ML Regression-Based.ipynb ├── 06AB_Interpret Backtesting Strategy.ipynb ├── 07A_Optimizing Strategy Parameters.ipynb ├── 07B_Optimizing Strategy Parameters.ipynb ├── 08A_Smart Optimization to Save Computing Time.ipynb ├── 08B_Smart Optimization to Save Computing Time.ipynb ├── 08C_Smart Optimization to Save Computing Time.ipynb ├── 08D_Smart Optimization to Save Computing Time.ipynb ├── 09A_The Overfitting Problem.ipynb ├── 09B_The Overfitting Problem.ipynb ├── 09C_The Overfitting Problem.ipynb ├── 09D_The Overfitting Problem.ipynb ├── 10A_Walk Forward Regression.ipynb ├── 10B_Walk Forward Regression.ipynb ├── 10C_Walk Forward Regression.ipynb ├── 10D_Walk Forward Regression.ipynb ├── data │ ├── BTC-USD.csv │ ├── BTC-USD.xlsx │ ├── Microsoft_LinkedIn_Processed.csv │ ├── Microsoft_LinkedIn_Processed.xlsx │ ├── Microsoft_Stock_Price_Historical_Daily.csv │ ├── Microsoft_Stock_Price_Historical_Daily.xlsx │ ├── TSLA.csv │ └── TSLA.xlsx ├── models │ ├── model_dt_classification.pkl │ └── model_dt_regression.pkl ├── reports_backtesting │ ├── backtesting_regression.html │ ├── classification.html │ ├── regression.html │ ├── regression_test_set.html │ ├── regression_train_set.html │ ├── regression_walk_forward_sl_tp.html │ ├── walk_forward_anchored.html │ └── walk_forward_unanchored.html ├── src │ ├── 07_Code_Regression Strategy Limits X.png │ ├── 07_Table_Optimize BG Default Defaults.png │ ├── 08_Table_Smart Optimization.png │ ├── 09_Table_The Overfitting.png │ ├── 10_Table_Backtesting Adjustment Parameters.png │ ├── 10_Table_Stop Loss.png │ ├── 10_Table_Validation Methods.png │ ├── MICROSOFT_LinkedIn.png │ ├── Microsoft_x_LinkedIn.png │ ├── forward.webp │ ├── originals │ │ ├── 07_Code_Regression Strategy Limits X.cleanshot │ │ ├── 07_Code_Regression Strategy Limits X.png │ │ ├── 07_Table_Optimize BG Default Defaults.png │ │ ├── 08_Table_Smart Optimization.png │ │ └── 09_Table_The Overfitting.png │ ├── plot_calibration_curve.ipynb │ ├── pred_classification.png │ ├── pred_regression.png │ ├── regression_5.png │ ├── res_classification.png │ ├── res_regression.png │ ├── std.png │ └── std_normal.png └── strategies.py └── requirements.txt /.devcontainer/Dockerfile: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/.devcontainer/Dockerfile -------------------------------------------------------------------------------- /.devcontainer/devcontainer.json: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/.devcontainer/devcontainer.json -------------------------------------------------------------------------------- /.github/CODEOWNERS: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/.github/CODEOWNERS -------------------------------------------------------------------------------- /.github/ISSUE_TEMPLATE.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/.github/ISSUE_TEMPLATE.md -------------------------------------------------------------------------------- /.github/PULL_REQUEST_TEMPLATE.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/.github/PULL_REQUEST_TEMPLATE.md -------------------------------------------------------------------------------- /.github/workflows/main.yml: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/.github/workflows/main.yml -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | .DS_Store 2 | node_modules 3 | .tmp 4 | npm-debug.log 5 | others -------------------------------------------------------------------------------- /.vscode/settings.json: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/.vscode/settings.json -------------------------------------------------------------------------------- /CONTRIBUTING.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/CONTRIBUTING.md -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/LICENSE -------------------------------------------------------------------------------- /NOTICE: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/NOTICE -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/README.md -------------------------------------------------------------------------------- /notebooks-course/01A_Data Preprocessing.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/01A_Data Preprocessing.ipynb -------------------------------------------------------------------------------- /notebooks-course/01B_Data Preprocessing.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/01B_Data Preprocessing.ipynb -------------------------------------------------------------------------------- /notebooks-course/02A_Machine Learning Classification Model.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/02A_Machine Learning Classification Model.ipynb -------------------------------------------------------------------------------- /notebooks-course/02B_Machine Learning Classification Model.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/02B_Machine Learning Classification Model.ipynb -------------------------------------------------------------------------------- /notebooks-course/03A_Backtesting ML Classification-Based.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/03A_Backtesting ML Classification-Based.ipynb -------------------------------------------------------------------------------- /notebooks-course/03B_Backtesting ML Classification-Based.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/03B_Backtesting ML Classification-Based.ipynb -------------------------------------------------------------------------------- /notebooks-course/03C_Backtesting ML Classification-Based.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/03C_Backtesting ML Classification-Based.ipynb -------------------------------------------------------------------------------- /notebooks-course/03D_Backtesting ML Classification-Based.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/03D_Backtesting ML Classification-Based.ipynb -------------------------------------------------------------------------------- /notebooks-course/04A_Machine Learning Regression Model.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/04A_Machine Learning Regression Model.ipynb -------------------------------------------------------------------------------- /notebooks-course/04B_Machine Learning Regression Model.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/04B_Machine Learning Regression Model.ipynb -------------------------------------------------------------------------------- /notebooks-course/05A_Backtesting ML Regression-Based.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/05A_Backtesting ML Regression-Based.ipynb -------------------------------------------------------------------------------- /notebooks-course/05B_Backtesting ML Regression-Based.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/05B_Backtesting ML Regression-Based.ipynb -------------------------------------------------------------------------------- /notebooks-course/06AB_Interpret Backtesting Strategy.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/06AB_Interpret Backtesting Strategy.ipynb -------------------------------------------------------------------------------- /notebooks-course/07A_Optimizing Strategy Parameters.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/07A_Optimizing Strategy Parameters.ipynb -------------------------------------------------------------------------------- /notebooks-course/07B_Optimizing Strategy Parameters.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/07B_Optimizing Strategy Parameters.ipynb -------------------------------------------------------------------------------- /notebooks-course/08A_Smart Optimization to Save Computing Time.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/08A_Smart Optimization to Save Computing Time.ipynb -------------------------------------------------------------------------------- /notebooks-course/08B_Smart Optimization to Save Computing Time.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/08B_Smart Optimization to Save Computing Time.ipynb -------------------------------------------------------------------------------- /notebooks-course/08C_Smart Optimization to Save Computing Time.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/08C_Smart Optimization to Save Computing Time.ipynb -------------------------------------------------------------------------------- /notebooks-course/08D_Smart Optimization to Save Computing Time.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/08D_Smart Optimization to Save Computing Time.ipynb -------------------------------------------------------------------------------- /notebooks-course/09A_The Overfitting Problem.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/09A_The Overfitting Problem.ipynb -------------------------------------------------------------------------------- /notebooks-course/09B_The Overfitting Problem.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/09B_The Overfitting Problem.ipynb -------------------------------------------------------------------------------- /notebooks-course/09C_The Overfitting Problem.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/09C_The Overfitting Problem.ipynb -------------------------------------------------------------------------------- /notebooks-course/09D_The Overfitting Problem.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/09D_The Overfitting Problem.ipynb -------------------------------------------------------------------------------- /notebooks-course/10A_Walk Forward Regression.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/10A_Walk Forward Regression.ipynb -------------------------------------------------------------------------------- /notebooks-course/10B_Walk Forward Regression.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/10B_Walk Forward Regression.ipynb -------------------------------------------------------------------------------- /notebooks-course/10C_Walk Forward Regression.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/10C_Walk Forward Regression.ipynb -------------------------------------------------------------------------------- /notebooks-course/10D_Walk Forward Regression.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/10D_Walk Forward Regression.ipynb -------------------------------------------------------------------------------- /notebooks-course/data/BTC-USD.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/data/BTC-USD.csv -------------------------------------------------------------------------------- /notebooks-course/data/BTC-USD.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/data/BTC-USD.xlsx -------------------------------------------------------------------------------- /notebooks-course/data/Microsoft_LinkedIn_Processed.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/data/Microsoft_LinkedIn_Processed.csv -------------------------------------------------------------------------------- /notebooks-course/data/Microsoft_LinkedIn_Processed.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/data/Microsoft_LinkedIn_Processed.xlsx -------------------------------------------------------------------------------- /notebooks-course/data/Microsoft_Stock_Price_Historical_Daily.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/data/Microsoft_Stock_Price_Historical_Daily.csv -------------------------------------------------------------------------------- /notebooks-course/data/Microsoft_Stock_Price_Historical_Daily.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/data/Microsoft_Stock_Price_Historical_Daily.xlsx -------------------------------------------------------------------------------- /notebooks-course/data/TSLA.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/data/TSLA.csv -------------------------------------------------------------------------------- /notebooks-course/data/TSLA.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/data/TSLA.xlsx -------------------------------------------------------------------------------- /notebooks-course/models/model_dt_classification.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/models/model_dt_classification.pkl -------------------------------------------------------------------------------- /notebooks-course/models/model_dt_regression.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/models/model_dt_regression.pkl -------------------------------------------------------------------------------- /notebooks-course/reports_backtesting/backtesting_regression.html: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/reports_backtesting/backtesting_regression.html -------------------------------------------------------------------------------- /notebooks-course/reports_backtesting/classification.html: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/reports_backtesting/classification.html -------------------------------------------------------------------------------- /notebooks-course/reports_backtesting/regression.html: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/reports_backtesting/regression.html -------------------------------------------------------------------------------- /notebooks-course/reports_backtesting/regression_test_set.html: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/reports_backtesting/regression_test_set.html -------------------------------------------------------------------------------- /notebooks-course/reports_backtesting/regression_train_set.html: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/reports_backtesting/regression_train_set.html -------------------------------------------------------------------------------- /notebooks-course/reports_backtesting/regression_walk_forward_sl_tp.html: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/reports_backtesting/regression_walk_forward_sl_tp.html -------------------------------------------------------------------------------- /notebooks-course/reports_backtesting/walk_forward_anchored.html: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/reports_backtesting/walk_forward_anchored.html -------------------------------------------------------------------------------- /notebooks-course/reports_backtesting/walk_forward_unanchored.html: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/reports_backtesting/walk_forward_unanchored.html -------------------------------------------------------------------------------- /notebooks-course/src/07_Code_Regression Strategy Limits X.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/src/07_Code_Regression Strategy Limits X.png -------------------------------------------------------------------------------- /notebooks-course/src/07_Table_Optimize BG Default Defaults.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/src/07_Table_Optimize BG Default Defaults.png -------------------------------------------------------------------------------- /notebooks-course/src/08_Table_Smart Optimization.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/src/08_Table_Smart Optimization.png -------------------------------------------------------------------------------- /notebooks-course/src/09_Table_The Overfitting.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/src/09_Table_The Overfitting.png -------------------------------------------------------------------------------- /notebooks-course/src/10_Table_Backtesting Adjustment Parameters.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/src/10_Table_Backtesting Adjustment Parameters.png -------------------------------------------------------------------------------- /notebooks-course/src/10_Table_Stop Loss.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/src/10_Table_Stop Loss.png -------------------------------------------------------------------------------- /notebooks-course/src/10_Table_Validation Methods.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/src/10_Table_Validation Methods.png -------------------------------------------------------------------------------- /notebooks-course/src/MICROSOFT_LinkedIn.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/src/MICROSOFT_LinkedIn.png -------------------------------------------------------------------------------- /notebooks-course/src/Microsoft_x_LinkedIn.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/src/Microsoft_x_LinkedIn.png -------------------------------------------------------------------------------- /notebooks-course/src/forward.webp: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/src/forward.webp -------------------------------------------------------------------------------- /notebooks-course/src/originals/07_Code_Regression Strategy Limits X.cleanshot: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/src/originals/07_Code_Regression Strategy Limits X.cleanshot -------------------------------------------------------------------------------- /notebooks-course/src/originals/07_Code_Regression Strategy Limits X.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/src/originals/07_Code_Regression Strategy Limits X.png -------------------------------------------------------------------------------- /notebooks-course/src/originals/07_Table_Optimize BG Default Defaults.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/src/originals/07_Table_Optimize BG Default Defaults.png -------------------------------------------------------------------------------- /notebooks-course/src/originals/08_Table_Smart Optimization.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/src/originals/08_Table_Smart Optimization.png -------------------------------------------------------------------------------- /notebooks-course/src/originals/09_Table_The Overfitting.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/src/originals/09_Table_The Overfitting.png -------------------------------------------------------------------------------- /notebooks-course/src/plot_calibration_curve.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/src/plot_calibration_curve.ipynb -------------------------------------------------------------------------------- /notebooks-course/src/pred_classification.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/src/pred_classification.png -------------------------------------------------------------------------------- /notebooks-course/src/pred_regression.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/src/pred_regression.png -------------------------------------------------------------------------------- /notebooks-course/src/regression_5.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/src/regression_5.png -------------------------------------------------------------------------------- /notebooks-course/src/res_classification.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/src/res_classification.png -------------------------------------------------------------------------------- /notebooks-course/src/res_regression.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/src/res_regression.png -------------------------------------------------------------------------------- /notebooks-course/src/std.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/src/std.png -------------------------------------------------------------------------------- /notebooks-course/src/std_normal.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/src/std_normal.png -------------------------------------------------------------------------------- /notebooks-course/strategies.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/notebooks-course/strategies.py -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/LinkedInLearning/practical-python-for-algorithmic-trading-4403633/HEAD/requirements.txt --------------------------------------------------------------------------------