Prediction Of Share Price By Using Machine Learning LSTM Model.pdf

In this project, we attempt to implement machine learning approach to predict stock prices. Machine learning is effectively implemented in forecasting stock prices. The objective is to predict the stock prices in order to make more informed and accurate investment decisions. We propose a stock price prediction system that integrates mathematical functions, machine learning, and other external factors for the purpose of achieving better stock prediction accuracy and issuing profitable trades.

There are two types of stocks. Intraday traders hold securities positions from at least one day to the next and often for several days to weeks or months. LSTMs are very powerful in sequence prediction problems because they're able to store past information. This is important in our case because the previous price of a stock is crucial in predicting its future price. While predicting the actual price of a stock is an uphill climb, we can build a model that will predict whether the price will go up or down.

The purpose of the study is to analyze the future value of select companies (Tata Motors, Adani Power, SBI, Tech Mahindra & Happiest Minds) share prices. The system predicts the stock prices for one or more days in advance, based on the previous stock prices. The study is going to generate the signals of entry price and closing price by using machine learning techniques.

The objectives of the study are to know the concept of machine learning technology with relating to stock prediction, to analyze time series data for investment, and to study entry price and target price and proper stop loss by using machine learning.

The study uses secondary data collected from the following websites. The techniques used are LSTM Model, machine learning modules and algorithms, Python modules, Jupyter notebook, Tensorflow, and Anaconda navigator. The limitations of the study are that it is confined to Machine learning LSTM model and this LSTM model is used for short term investment.

The dataset analysis for stock price of Tech Mahindra by using dataset shows the date, open, close, high, low, adjusted close, and volume of stocks details. The close price history of Tech Mahindra from 2006 to 2022 is represented by a plot. The predicted chart shows the predicted closing value of Tech Mahindra from 2020-05-25 to 2022-08-23. The training prediction and training observation, validation prediction and validation observation, and testing prediction and testing observation are further split into training prediction and training observation, validation prediction and validation observation, and testing prediction and testing observation from the year 2020 to 2022, 2022-03-15 to 2022-06-01, and 2022-06-01 to 2022-08-15, respectively. The final chart of prediction shows all predictions and observations of training, validation, and testing combined together.

The closing price history of Tata Motors and Adani Power is represented by a plot. The predicted chart shows the predicted closing value of Tata Motors and Adani Power from 2020-05-25 to 2022-08-23. The training prediction and training observation, validation prediction and validation observation, and testing prediction and testing observation are further split into training prediction and training observation, validation prediction and validation observation, and testing prediction and testing observation from the year 2020 to 2022, 2022-03-15 to 2022-06-01, and 2022-06-01 to 2022-08-15, respectively. The final chart of prediction shows all predictions and observations of training, validation, and testing combined together.

The closing price history of SBI and Happiest Minds is represented by a plot. The predicted graph shows the predicted closing value of SBI and Happiest Minds from 2020-05-25 to 2022-08-23.