Published Paper Details:

Predicting the true stock price has been a long-standing subject for researchers in various fields. A model study based on arithmetic mean have been done to predict the movement of the stock price by using machine learning algorithm(MLA) such as SMA (Simple moving average) &EMA (Exponential moving average). The price fluctuation of the stock variesabnormally, as it depends on many factors such as Asian/European stock market, FII (Foreign Institutional Investors) &DII (Domestic Institutional Investors), value different commodities as well as day to day changesof functional strategy of different countries like -government Policies & sentiments, interest rate and inflation, Financial strategy of RBI and Governing of SEBI. As pandemic last longer and people converted their way of earnings in online mode and some of them forced to do trade to get rid of the hardship at financial journey. Generally, the people jump into the platform without trading knowledge and faces huge loss. Here the author takes pain to forecast the price a stock by using MLA algorithm over simple moving average. Study reveal that trading based on EMA generates more accuracy trading with SMA.