• N.SANTOSH BHAMI REDDY
• Dr. G. LAVANYA DEVI

Stock price prediction is an important and classic problem in the world of stock trading. The Stock value prediction is associate degree act of making an attempt to work out the long run worth of a stock or economic instrument that area unit listed on a monetary exchange. With successful prediction we can gain insight about market behavior over time. In earlier the traditional techniques such as the technical and important or the time series analysis were used for prediction of the stocks. The recent trend in stock market prediction is using machine learning techniques as its model makes prediction easier and authentic. We prepare a robust dataset with various features on which the model is trained and tested. So, in this paper we propose a Deep Learning (DL) approach using Long Short-Term Memory (LSTM) that will be trained from the available stocks data and gain intelligence and then uses the non-inheritable data for associate degree for correct prediction. Python programming language is used to predict the stock market using Deep learning

Deep Learning, Financial exchange, LSTM Model, Machine Learning, Stock Price Prediction, and Stock trading

"IMPLEMENTATION OF MACHINE LEARNING TECHNIQUE IN STOCK MARKET PREDICTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 11, page no.848-855, November-2020, Available :http://www.jetir.org/papers/JETIR2011252.pdf

"IMPLEMENTATION OF MACHINE LEARNING TECHNIQUE IN STOCK MARKET PREDICTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 11, page no. pp848-855, November-2020, Available at : http://www.jetir.org/papers/JETIR2011252.pdf