An interactive web-dashboard for analyzing stocks.
Built with Python (dash-plotly) »
Live Demo
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Table of Contents
- Select a stock symbol from the dropdown menu to visualize the data.
- Use Rangeslider to go to a specific timeframe.
Major languages, frameworks and packages used:
To get a local copy up and running follow these simple example steps.
- Clone the repo
git clone https://github.com/SumitMahar/dash.git
- Install packages with pipenv or pip
pipenv install -r requirements.txt
- Run
app.py
from command line with pythonpython app.py
- Indicators for Candlestick chart
- Daily auto-updates
- machine learning predictions
Distributed under the MIT License. See LICENSE
for more information.
https://nse-dashboard.herokuapp.com/
Email - Sumitmahar78@gmail.com
Project Link: https://github.com/sumitmahar/dash