https://github.com/mainakverse/stockbunker
Practice Time Series Analysis practices on Stock Market data and get an exposure into trading
https://github.com/mainakverse/stockbunker
data-science deep-learning-algorithms machine-learning-algorithms stock-market stock-price-prediction streamlit-webapp time-series time-series-forecasting
Last synced: 4 months ago
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Practice Time Series Analysis practices on Stock Market data and get an exposure into trading
- Host: GitHub
- URL: https://github.com/mainakverse/stockbunker
- Owner: MainakVerse
- Created: 2025-02-21T03:26:01.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-02-21T03:27:09.000Z (4 months ago)
- Last Synced: 2025-02-21T04:26:40.196Z (4 months ago)
- Topics: data-science, deep-learning-algorithms, machine-learning-algorithms, stock-market, stock-price-prediction, streamlit-webapp, time-series, time-series-forecasting
- Language: Python
- Homepage: https://anystock.streamlit.app/
- Size: 3.37 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Stock-Price-Prediction-App
This is a web app that forecasts the High and Low of the stocks, built using streamlit, and based on statsmodels, sklearn, and sktime. You can view the app