Predicting the uptrend and downtrend in stock markets for intraday trading using machine learning algorithms

Abstract

A country’s economy is dependent on several parameters among these parameters stock markets plays a very important role. There are typically two sorts of risks in regard with the security exchange which are systematic risk and unsystematic risks and this is the reason why stock market is stochastic in nature. From years, scholars are trying to find a definitive solution for better decision making in market to generate more returns and reduce risk. There are many ratios, formulas and theorems which attempts to predict the stock market but in reality these theorems are made on countless assumptions. With the new age technology and fast computing, we can now solve this problem by advanced algorithms and machine learning. We will take help of probability to solve problems generating because of stochastic nature of Stock market. Computing series of probability at different scenarios and parameters of stock market by using machine learning.

Analysis of the Relationship Between Cross Capital Flows and Stock Exchange Index with Machine Learning

“…Their research delineates the differentiated impacts of median versus extreme market conditions, contributing to the discourse on market responses to global financial shocks underscored by the COVID-19 pandemic. Bhatt et al, (2020) explored the efficacy of probability theories and machine learning in deciphering stock market complexities. They posit that leveraging advanced algorithms can significantly enhance risk management and forecasting accuracy in unpredictable market conditions.…”