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https://github.com/kts-o7/quantquipsrevamped

A revamped quantquips for financial analysis. Please do own due diligence, this is not a registered finanical advisor.
https://github.com/kts-o7/quantquipsrevamped

algorithmic-trading backtesting generative-ai groq-api llama3 llama3-1 trading-strategies

Last synced: 4 months ago
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A revamped quantquips for financial analysis. Please do own due diligence, this is not a registered finanical advisor.

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README

        

## QuantQuips Revamped

[![License](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT)
[![GitHub stars](https://img.shields.io/github/stars/KTS-o7/QuantQuipsRevamped.svg)](https://github.com/KTS-o7/QuantQuipsRevamped/stargazers)
[![GitHub forks](https://img.shields.io/github/forks/KTS-o7/QuantQuipsRevamped.svg)](https://github.com/KTS-o7/QuantQuipsRevamped/network)
[![GitHub issues](https://img.shields.io/github/issues/KTS-o7/QuantQuipsRevamped.svg)](https://github.com/KTS-o7/QuantQuipsRevamped/issues)
[![GitHub pull requests](https://img.shields.io/github/issues-pr/KTS-o7/QuantQuipsRevamped.svg)](https://github.com/KTS-o7/QuantQuipsRevamped/pulls)
![Python](https://img.shields.io/badge/Python-3.12-blue.svg)

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:

```bash
# 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](LICENSE) file for more details.

### Stargazer Graph:

[![Star History Chart](https://api.star-history.com/svg?repos=KTS-o7/QuantQuipsRevamped&type=Date)](https://star-history.com/#KTS-o7/QuantQuipsRevampedr&Date)

### Project Screenshots:

![Screenshot 1](images/2.png)
_Home page with dashboard_

![Screenshot 2](images/3.png)
_Gives total view of stocks in home page_

![Screenshot 1](images/4.png)
_analyst provides insights on each company financials_

![Screenshot 1](images/5.png)
_It even interprets graphs_

![Screenshot 1](images/6.png)
_Backtesting allows interactive graphs_

![Screenshot 1](images/7.png)
_Multiple strategies tested together_

![Screenshot 1](images/8.png)
_CAPM model analysis for risk calculation_

![Screenshot 1](images/9.png)
_Personalised LLM model for Code generation and analysis_

![Screenshot 1](images/10.png)
_Financial planner to achieve financial goals based on realisitc calculations and Natural language processing_

![Screenshot 1](images/11.png)
_Financial news fetching and analysis using generative AI_

![Screenshot 1](images/12.png)
_Detailed analysis to save time and increase awareness_