Corpus ID: 236469182

Combining Machine Learning Classifiers for Stock Trading with Effective Feature Extraction

  title={Combining Machine Learning Classifiers for Stock Trading with Effective Feature Extraction},
  author={Amin Ullah and F. Imtiaz and Miftah Uddin Md Ihsan and Md. Golam Rabiul Alam and Mahbub Alam Majumdar},
The unpredictability and volatility of the stock market render it challenging to make a substantial profit using any generalized scheme. This paper intends to discuss our machine learning model, which can make a significant amount of profit in the US stock market by performing live trading in the Quantopian platform while using resources free of cost. Our top approach was to use ensemble learning with four classifiers: Gaussian Naive Bayes, Decision Tree, Logistic Regression with L1… Expand


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