Skyview Capital

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

Requirements

• Nodejs (https://nodejs.org/en/download)
• Python (https://www.python.org/downloads/)
• Yarn (https://classic.yarnpkg.com/lang/en/docs/install/#windows-stable)

Steps for Installation:

1. Clone the repository in your local directory using the command git clone https://github.com/Demigod345/SkyView_Capital
2. Change directory to cloned Repository cd SkyView_Capital
3. Install Client-Side dependencies cd Client && npm start
4. Install Express-Server-Side dependencies cd Backend && yarn install
5. Now we will be Installing Flask-Server-Side dependencies cd ML_Model
6. Creation and activating the virtual environment: sudo apt install python3-venv python3 -m venv ML_Model source ML_Model/bin/activate
7. Install dependencies pip install -r requirements.txt

Steps to run the Client:

1. cd Client
2. npm start

Steps to run the Express-Server:

1. cd Backend
2. Create a .env file similar to that given in .env.example file
3. yarn start

Steps to run the Flask-Server:

1. cd ML_Model
2. python3 app.py

Feedback

If you have any feedback or suggestions, please reach out to me at [email protected]