MATHEMATICAL MODEL FOR STOCK PRICE PREDICTION USING LSTM NETWORKS IN PYTHON JUPYTER NOTEBOOK
1. VIVEK PARKASH, Dyal Singh College, Assistant Professor, India
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.
yahoo finance long short term memory networks keras pandas dataframe deep learning neural network
So, our model has successfully predicted
stock TCS move for the next 20 days. This graph shows that how well the share has
moved during the prediction period. This above described model is for TCS stock.
This model can be applied to any other stock. All we have to do is to import the
corresponding stock data from yahoo finance. We can change other parameters accordingly
and tweak the parameters to get better results.
1. [1] https://www.analyticsvidhya.com/blog/2021/12/stock-price-prediction-using-lstm/ [2] https://towardsdatascience.com/lstm-for-google-stock-price-prediction-e35f5cc84165 [3] https://www.datacamp.com/tutorial/lstm-python-stock-market [4] https://www.kaggle.com/code/faressayah/stock-market-analysis-prediction-using-lstm [5]HongjuYan and Hongbing Ouyang. Financial time series prediction based on deep learning. Wireless Personal Communications, 102(2):683–700, 2018. [6] https://en.wikipedia.org/wiki/Long_short-term_memory [7]https://www.analyticsvidhya.com/blog/2021/03/introduction-to-long-short-term-memory-lstm/
Sole author Dr. Vivek Parkash has done work in this research paper himself and fully own the responsibility.
Got funding from nowhere for this paper.
used LSTM Python with different libraries and functions
No Conflict of Interest
I thank my family for the cooperation.
data will be shared as required