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
JSON representation
A revamped quantquips for financial analysis. Please do own due diligence, this is not a registered finanical advisor.
- Host: GitHub
- URL: https://github.com/kts-o7/quantquipsrevamped
- Owner: KTS-o7
- License: mit
- Created: 2024-06-02T12:09:41.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-09-01T10:19:13.000Z (8 months ago)
- Last Synced: 2024-11-10T07:17:46.839Z (6 months ago)
- Topics: algorithmic-trading, backtesting, generative-ai, groq-api, llama3, llama3-1, trading-strategies
- Language: Python
- Homepage: https://quantquips.streamlit.app/
- Size: 6.8 MB
- Stars: 0
- Watchers: 1
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
## QuantQuips Revamped
[](https://opensource.org/licenses/MIT)
[](https://github.com/KTS-o7/QuantQuipsRevamped/stargazers)
[](https://github.com/KTS-o7/QuantQuipsRevamped/network)
[](https://github.com/KTS-o7/QuantQuipsRevamped/issues)
[](https://github.com/KTS-o7/QuantQuipsRevamped/pulls)
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:
[](https://star-history.com/#KTS-o7/QuantQuipsRevampedr&Date)
### 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_