Abstract:
"
Investing in stock market is trending topic nowadays. Most of the young generation is
tended to invest in the stock market. This research is to predict the future market values
of the stocks and recommend the best shares to buy fir the end user.
The technologies such as machine learning, deep learning, artificial neural networks,
LSTM models were used to develop the final solution of this research. A web
application developed using HTML, CSS and Java scripts. The implemented
application will be graphically representing the stock values and also able to trade
through the system using a third-party website.
The open-source libraries such as TensorFlow, Keras, pandas, NumPy and matplotlib
were used and the prediction model was build using python programming language
using google collab and visual studio code as the integrated development environments."
