This is a Project that I created in my free time. I made three different Stock Market Algorithmns, where one Algorithmn is using the Random Forect Classifier to Predict, and the other two Algorithmns are using the Long Term Short Memory Model. From the Two LSTM Models, one script is for Prediction and the other script does Prediction & Analysis also. I have made sure to use Yahoo Finance as the method for getting the stock data as that makes the process more efficient than downloading the data manually and inputting it.
To download this Repository You can download the zip file or Clone the Project Repository using Git with the below command:
git clone https://github.com/DhruvAthaide/StockMarket-Analysis&Prediction.gitThen open Command Prompt, in the Project Directory and proceed further with whichever Installation you want to go ahead with:
To Install the Requirements for this Script:
Move the Command Line to the Project Directory:
cd '.\Stock Predictor - LSTM Model\'Then Run the following commands to install the Script Requirements:
pip install -r requirements.txtThen you can go ahead and run the .ipynb file using either a IDE or whichever way you run .ipynb files.
To Install the Requirements for this Script:
Move the Command Line to the Project Directory:
cd '.\Stock Predictor - Random Forest Classifier Model\.'Then Run the following commands to install the Script Requirements:
pip install -r requirements.txtThen you can go ahead and run the .ipynb file using either a IDE or whichever way you run .ipynb files.
To Install the Requirements for this Script:
Move the Command Line to the Project Directory:
cd '.\Stock Predictor & Analysis - LSTM Model\.'Then Run the following commands to install the Script Requirements:
pip install -r requirements.txtThen you can go ahead and run the .ipynb file using either a IDE or whichever way you run .ipynb files.
