@Article{M-10035,
AUTHOR = {PARKASH, VIVEK},
TITLE = {MATHEMATICAL MODEL FOR STOCK PRICE PREDICTION USING LSTM NETWORKS IN PYTHON JUPYTER NOTEBOOK},
JOURNAL = {Scientific Research Journal of Science, Engineering and Technology},
VOLUME = {1},
YEAR = {2023},
NUMBER = {2},
ARTICLE-NUMBER = {M-10035},
URL = {https://isrdo.org/journal/SRJSET/currentissue/mathematical-model-for-stock-price-prediction-using-lstm-networks-in-python-jupyter-notebook},
ISSN = {2584-0584},
ABSTRACT = {Long short-term memory abbreviated as LSTM
is an artificial neural network used in the fields of artificial
intelligence and deep learning. I am going to LSTM (long short term
memory) networks and python coding in jupyter notebook for price movement predictions
for TCS stock listed on NSE. In the end it will be concluded that the predicted
movement of TCS stock price is similar to the actual one. Moreover next 20 days
opening prices will be calculated based on previous few days price data.},
DOI = {}
}