Vamsi Krishna

Software Engineer logging his learnings in Tech, Finance and more

Import the libraries

import pandas as pd

Load the data

# read the data
stock = pd.read_csv("stock.csv")
# display the first 5 rows data

We can see that we have the Daily Stock Price Closing Data.

Calculate the return

To calculate the 1-day returns, we need the previous closing price.

# shift the close prices by 1 position since we need 1-day previous close.
stock['previous_close'] = stock['close'].shift(1)
# display the data

Now that we have the Data in required format, we can calculate the daily returns.

# 1-day returns
stock['return'] = (stock['close'] / stock['previous_close']) - 1
# % return
stock['% return'] = stock['return'] * 100
# display the data

In this article, we will learn how to download mutual funds NAV(Net Asset Value) data using python.


This article assumes your already familiar with the basics of python and APIs(Application Programming Interface). Before you get started with the tutorial, make sure python is already installed on your system.

Table of Content

– Setup the project – Import the libraries – Getting to know the API – Downloading the Data – Conclusion

Setup the project

Let's create a new folder where we will be working.

mkdir mutual-fund-data
cd mutual-fund-data

Create a new python virtual environment and activate it. Run the following the command inside the mutual-fund-data folder.

# create a virtual environment
python -m venv .
# activate the virtual environemnt
.\Scripts\activate # If using windows

Let's install the required packages

python -m pip install requests

requests is a simple HTTP library for python used for interacting with APIs. It is one of the simplest to get started with.

Import the libraries

Create a new file named and import the packages

import requests

Getting to know the API

Before we go fetch the data, Let's have a look at our API which we will be using.

mfapi is a free indian mutual fund api which provides complete history of mutual funds data over a json API for free.

There are 3 main endpoints in the API

  1. List all Mutual Funds –
  2. Fetch historical NAV for a particular Scheme. –{scheme-code}
  3. Search the Mutual Funds List by Name –{search-term}

So, for fetching the historical NAV for a particular mutual fund scheme, we would need the scheme code which we can get either from the List all mutual funds endpoint or by using the search mutual funds by name endpoint.

Downloading the data

Let's now get the data for a mutual fund. I will be fetching the data for UTI – NIFTY Index Fund- Regular Plan – Growth Option whose scheme code is 100822.

# API endpoint
url = ""
# make the api request
response = requests.get(url)
# Check if request is success
if response.status_code ==
    # parse the response as json
    data = response.json()
    # display the data

Now from the terminal, you can run the script to see the data on the console. NOTE: The API returns the entire history of the scheme and doesn't support the filtering of data by timestamp. so the data will huge and you can write it to a file instead of printing it to the console.


Thats' it. we are done. you can go ahead and fetch the data for all the mutual funds the API provides.

Here's the full code -

# File Name:

import requests

url = ""
response = requests.get(url=url)
if response.status_code ==
    data = response.json()
    print(f"Fetching Data Failed with Status Code - {response.status_code}")

References: –

Since I am working on and off with Docker right now, This post will serve as a quick reference for me to lookup my frequently used docker commands.

Login to a private container registry

docker login private-registry-server

Pull an image locally

docker pull image-name

Run a image

docker run image-name

List all running containers

docker ps

List all containers (running and stopped)

docker ps -a

Kill a running container

docker kill container-name

View all local images

docker image ls

Open Shell inside a running container

docker exec -it container-name /bin/bash

Remove all local docker images, volumes, containers

docker system purge

#cheatsheet #docker

Hi!👋 I am Vamsi Krishna, a Software Engineer based out of India.

Nice to see you here 😊

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