Like many, I used to track Crypto and Stock progress either for investment or curiosity. There are numerous amount of recommendations from financial advisors, traders, investors, business analysts, brokers and so on available on Internet, and interestingly, sometimes, there are contradicting each other.
This is a fun open-source project in streamlit using Facebook Prophet and Neural Prophet to analyze and forecast
Stock and Crypto-currency market based on their historical price only.
The data is extracted from Yahoo! Finance using the yfinance library.
Warning: This tool neither recommends nor guarantees the performance of the given symbol. Use this tool and its forecasts at your own risk.
You can access the demo version deployed on Streamlit server at:
https://market-forecast.streamlit.app/
In order to run this tool, you must have Streamlit installed on your machine/environment:
streamlit run app.py
This application is available on Docker Hub, and it can be run directly using:
docker run -p 80:8501 kavehbc/market-forecast
Once you run it, you can open it in your browser on http://127.0.0.1.
This project is open-source, and it is available on GitHub at https://github.com/kavehbc/market-forecast.
The app usage is tracked using statcounter.com,
and it does not contain any personal information. The file containing the script is located at
injection\statcounter.html.
Injection functions are managed inside libs\injection.py.
The searched tickers are stored in db\popular.json file.
The functions related to the data storage and retrieval are managed inside libs\db.py.
This database is stored where the app is hosted, and it does not transmit these data elsewhere automatically.
Recommendationsection is removed sinceyfinancemodule can not decrypt data.
Kaveh Bakhtiyari - Website | Medium | LinkedIn | GitHub
Feel free to join the open-source community and contribute to this repository.