Comparing different Machine Learning Algorithms in a stock Market Scenario to check which one has the highest efficiency
Jayesh Dave,
Sanket Porwal,
Utsav Jain
et al.
Abstract:Predicting stock market movements using machine learning algorithms is a challenging yet crucial task in financial markets. This study evaluates the efficacy of different machine learning algorithms in predicting stock market trends, utilizing historical stock price data alongside technical indicators as input variables, including Support Vector Machines (SVM), Long Short-Term Memory (LSTM), and Random Forest. The study extends the prediction horizon to ten and 30 days into the future, aiming to assess the per… Show more
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