Gdrive Link for documentation: - https://drive.google.com/drive/folders/1figHx13Tw-Yvx1kJWnelFKAwrxB1uLU6?usp=sharing
Our Company SkyView Capital comprises of five talented and motivated individuals, each bringing a unique set of skills and qualities to the group. We have created this project in our course CSN-291 and it aims to make the process of trading stocks a little less daunting by using the power of Artificial Intelligence. We have to tried to predict stock prices and movement using LSTM Neural Network to predict future prices of the stock and BERTA model and Technical Analysis to predict the future movement of price.
Group Members (in alphabetical order)
S.No. | Name | Enrollment no |
---|---|---|
1. | Aaditya Aren | 22114001 |
2. | Alind Sharma | 22113013 |
3. | Divyansh Jain | 22114032 |
4. | Ishaan Jain | 22114039 |
5. | Kunal Bansal | 22115083 |
- Nodejs (https://nodejs.org/en/download)
- Python (https://www.python.org/downloads/)
- Yarn (https://classic.yarnpkg.com/lang/en/docs/install/#windows-stable)
- Clone the repository in your local directory using the command
git clone https://github.com/Demigod345/SkyView_Capital
- Change directory to cloned Repository
cd SkyView_Capital
- Install Client-Side dependencies
cd Client && npm start
- Install Express-Server-Side dependencies
cd Backend && yarn install
- Now we will be Installing Flask-Server-Side dependencies
cd ML_Model
- Creation and activating the virtual environment:
sudo apt install python3-venv
python3 -m venv ML_Model
source ML_Model/bin/activate
- Install dependencies
pip install -r requirements.txt
cd Client
npm start
cd Backend
- Create a .env file similar to that given in .env.example file
yarn start
cd ML_Model
python3 app.py
If you have any feedback or suggestions, please reach out to me at [email protected]