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Stock prediction web app using flask, pandas, scikit-learn and am charts

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Stock Analyzer

Stock Analysis webapp with Pandas, Flask, Scikit-Learn and beautiful AmCharts

Usage:

Open terminal:

$ pip install -r requirements.txt
$ export FLASK_APP=app.py
$ flask run

WebApp Usage:

Once in webapp input stock symbol you want to analyze, then select start date and end date, be weary of date selection for every stock. App is using Pandas_DataReader to retrieve the data. After hitting submit, you'll be presented with a beautiful AmCharts graph.

TODO:

* Create APIs for data processing instead of running the whole logica app for the data process

* Save the trained models in ONNX or other type of standard Saved in pickle for now

* Create other views for data analysis

* Make the top bar work correctly, returning the data to the ORIGIN request

***This is beta software so remember everything might probably come crashing down...

Made with ❤ by repollo from nori-labs.com

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Stock prediction web app using flask, pandas, scikit-learn and am charts

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