Predictive Analysts Using Different Algorithm Machine And Deep Learning For Financial Market: Review Paper

Abstract

This paper presents the development and effectiveness of deep and machine learning techniques in forecasting stock market trends. This paper review focus on key developments from 2020 to 2024 involves the integration of ensemble learning, sentiment analysis from social media, and various predictive algorithms such as LSTM, CNN, and ANN. These techniques improves predication accuracy by efficient processing large data groups and detect nonlinear patterns in stock price trends. in addition, the paper presented background about various machine learning algorithms such as KNN, naive Bayes, linearregression decision trees, SVM, randomforests and deep learning models suchas neural network,LSTM and CNN .the findings of this study to providing valuable insights to researchers and practitioners who aim to improve investment strategies and improve predictive accuracy By looking at the appropriate algorithm