Paper Details

Prediction of financial market trends is an extremely important task and one of the biggest challenges for investors as forecasting future asset value of stock prices successfully may lead to an increase in the profit ratio. Stock prices, market influences news, and social media involvements have a great impact on stock market investment. An intelligent model helps investors and traders to increase their profit percentage. Several models of machine learning and artificial neural network have been used in recent years to predict stock price trends and these models help humans to take error-free decisions in a shorter time span. It is necessary to access the algo models through profitability metrics and validate the model’s performance (because of the prediction of the price of the high-risk asset). The recently used algorithms are Linear Regression, Logistic Regression, Artificial Neural Network, Random Forest, Support Vector Machine, and K-nearest neighbor. However, many other factors can affect the market and change the price of the stocks.

Machine Learning, Random Forest, KNN, ANN, LSTM, Stock Market, SVM.