betfair-machine-learning

Run the flumine_backtest files to see some simulation. If you inspect those files it is a good example of how to set up some learning and strategy.

The code is long! I will help you get to exactly what you want if you are interested in just running it with different models etc.

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
README.md		README.md
feb20_analysis_direct_nr0_100_50_many_wom.csv		feb20_analysis_direct_nr0_100_50_many_wom.csv
flumine_backtest_120_normalized.py		flumine_backtest_120_normalized.py
flumine_backtest_long_range.py		flumine_backtest_long_range.py
historic_data_processing_functions.py		historic_data_processing_functions.py
jan20_analysis_direct_nr0_100_50_many_wom.csv		jan20_analysis_direct_nr0_100_50_many_wom.csv
jul22_analysis_direct_nr0_100_50_many_wom.csv		jul22_analysis_direct_nr0_100_50_many_wom.csv
jun22_analysis_direct_nr0_100_50_many_wom.csv		jun22_analysis_direct_nr0_100_50_many_wom.csv
mar20_analysis_direct_nr0_100_50_many_wom.csv		mar20_analysis_direct_nr0_100_50_many_wom.csv
may22_analysis_direct_nr0_100_50_many_wom.csv		may22_analysis_direct_nr0_100_50_many_wom.csv
model_fitting_ablations.ipynb		model_fitting_ablations.ipynb
model_fitting_classifier.ipynb		model_fitting_classifier.ipynb
model_fitting_compare_classification.ipynb		model_fitting_compare_classification.ipynb
toms_utils.py		toms_utils.py
utils.py		utils.py