Harnessing Artificial Intelligence for Stock Market Forecasting: A Machine Learning Approach to Predicting Financial Trends

"Harnessing Artificial Intelligence for Stock Market Forecasting: A Machine Learning Approach to Predicting Financial Trends"

Authors:
Adarsh Tiwari, Aryan Goyal, Anubhav Dubey, Bhavesh Awasthy
1Course: B.Com(Bachelors of Commerce) Institution :
Kalinga University (Raipur)

Abstract:
Predicting the stock market has never been easy with its turbulent waves and complications.

Traditional approaches lately did not even have the mark by providing any reasonably accurate prediction for the very huge amount of data and so many external influences around.

We will analyze how AI/ML can help predict the stock markets better in this article. We use different algorithms that form the class of ML, namely linear

regression, decision trees, random forests and neural networks, on historical market data with the goals of drawing trends and extrapolating prediction. When we demonstrate the potential of AI in improving the prediction of the stock market, we test and evaluate the

model performance by using leading calculations such as average square errors, root agents square errors and prediction accuracy. In conclusion, this article aims to focus on how AI can be of great importance in the future of financial forecasts. Keywords: Prediction of stock

market, machine learning, artificial intelligence, economic forecasts, neural networks, regression, market behavior.