Stock price prediction using machine learning and deep learning
Stock price prediction using machine learning and deep learning is the python project implemented with Decision tree algorithm for ML and Convolutional Neural Network for DL. This also gives stock price forecast for next 5 days.
How to Download dataset for Stock Price prediction?
We have used NSE real time data and it can be download with the use of mpl_finance library through python code. The data we have downloaded from 2000 to till date. We can able to download any stock data depending on the symbol fiven by NSE India.
What is the algorithm Used for this project?
The algorithm used are Decision Tree and CNN algorithm
What is the output of the project?
Stock price prediction is the ultimate output of the project. Whereas we also evaluated the performance of algorithm by measures such as MAE, MSE, RMSE and R-Squared error values.
What is the application of Stock price prediction?
Stock price prediction is useful for traders and investors for the predicting and forecasting the price. The volatility nature of stock price may reduce the performance of the algorithm.
What is the advantages of this project?
In this project, any stock price prediction can be performed. The stock symbol represented by NSE should be given. Thus any NSE stock can be given and download real time data for prediction.