QuantQuips Revamped

Welcome to QuantQuips Revamped! This project aims to enhance the functionality and user experience of the original QuantQuips project.

This project is focused on leveraging Generative AI to make informed decisions in Algorithmic trading and Analysis of markets in semantic perspectives.

This project offers you backtester, your own analyst and planner of finances. Has various data boards and analysis tools like CAPM, Stock ticker analysis etc.

Features:

• All in one backtester-analyser-planner
• Helps to take informed risks in market and mitigates risks presented by misinformation.

Technologies Used

• Streamlit
• GROQ
• NEWS API
• yFinance

Installation:

To get started with QuantQuips Revamped, follow these steps:

# Clone the repository
git clone https://github.com/KTS-o7/QuantQuipsRevamped.git

#Create virtual env
python -m venv env

#activate the environment
source ./env/scripts/activate

#install all dependencies
pip install -r requirements.txt

#start the app and explore !
streamlit run Home.py

Contributing:

Contributions are welcome! If you have any ideas, suggestions, or bug reports, please open an issue or submit a pull request.

License:

This project is licensed under the MIT License. See the LICENSE file for more details.

Stargazer Graph:

Project Screenshots:

Home page with dashboard

Gives total view of stocks in home page

analyst provides insights on each company financials

It even interprets graphs

Backtesting allows interactive graphs

Multiple strategies tested together

CAPM model analysis for risk calculation

Personalised LLM model for Code generation and analysis

Financial planner to achieve financial goals based on realisitc calculations and Natural language processing

Financial news fetching and analysis using generative AI

Detailed analysis to save time and increase awareness