Analyzing the historical data and trends in Stock market using machine learning

The Stock Market is robust and huge as there is an involvement of multiple people in the process of buying and selling. The fundamental technical analysis of placing the order as Buy or Sell is very important. Many technical analyses are involved inside placing the right order. There are many tools and various studies done in the state of the art for predicting the market in a correct way. By the development of artificial Intelligence and Machine Learning, the research carried out in this work is to propose the efficient and suitable machine learning model which works with at most accuracy with the time series data. In connection with the same, the extension of Recurrent Neural Network as the Long Short Term Memory model is proposed and the results were observed. This work primarily focusses on improving the system by predicting the market close to the real and performing better with improved accuracy and technically worth competing with the existing methodologies