Deploying Data Visualizer for Nepal Stock Exchange using Streamlit on Heroku

• NEPSE-Data-Analysis

  1 0 2.2 Jupyter Notebook

  Nepal Stock Exchange (NEPSE) is the historian of stock market of Nepal. I tried to get data and prediction from 2000 to 2018.

If you are from Nepal then you already know what Nepal Stock Exchange means. Honestly I don't know how to describe stock market but after watching movie Pi, I wanted to take a look at NEPSE data by myself. I am not sure about how old data are present on the NEPSE but I think there are data available from 1980. I started to scrap data on 2019 January and it was very difficult task for me to write the right codes. But there are great and kind programmers who shares their great skills on GitHub. So I came across this repository. I started to scrap all the data of past transaction and it was quite frustrating after server hanged up so I found the best way of scrapping is by scrapping data by each year and then write it on CSV file. Please follow this mine repository for more scrapping code but note that We don't use any of those data so just look that repository for more information only (if available). And rest is on this blog.

• NEPSE-Data-Visualizer-with-Streamlit

  2 4 0.0

  This is a repository to do data visualization of Nepal Stock Exchange data.

Of course we need python along with few other libraries. If you are wondering what should be the requirements then please follow the repository and download all the codes then TADAAAAA!!!! But to describe it on steps, please follow below steps:

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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