A Machine Learning Model For Rise-Fall Prediction For The Istanbul Stock Exchange 100 Index

In this study, using machine learning algorithms, one of the artificial intelligence techniques that are becoming more and more widespread in finance, a machine learning model has been applied based on historical data for the rise and fall of Borsa İstanbul 100 index prices. When the applied machine learning model is compared with other studies in the literature, it has been observed that it has produced successful predictions in terms of derivation of explanatory variables, algorithm diversity at the algorithm selection stage and the prediction performance of the selected model.