How to get real-time Mutual Funds Information using Python?

In this article, we are going to write Python scripts to real-time Mutual Funds Information. Today Mutual Funds is a very popular term among investors, so let’s do some help for them. Mftool Modules will help to collect real-time data from AFM(Association of Mutual Funds).

Features of Mftool:

• Get last update quotes from Mutual Fund using scheme codes.
• Get all the register Schemes available in AMF
• Get Net Asset Value (NAV) track record
• Get all the list of Schemes with there Scheme codes.

Note: This module is able to collect data from The Association of Mutual Funds in India.

Before starting we need to install this module:

Run this module into your terminal.

pip install mftool

Let’s Understand these modules Step-by-step:

Step 1: import module and create an object for Mftool.

Python3

# import module
from mftool import Mftool


obj = Mftool()

Step 2: Getting a Scheme Quote with get_scheme_quote() methods.

Note: All scheme codes are presented here : Click

Python3

# pass the scheme code into
# methods
data = obj.get_scheme_quote('119551')
print(data)

Output:

Step 3: Get Scheme Details with specific Scheme code using get_scheme_details() methods.

Python3

obj.get_scheme_details("119551")

Output:

Step 4: Get Scheme Historical NAV’s data using get_scheme_historical_nav() methods.

Python3

data = mf.get_scheme_historical_nav("119551")
print(data)

Output:

Note: This data is in the Dictionary form.

Now we can manipulate this data with our own needs.

Python3

# dict demonstration
data['fund_house']

Output:

'Aditya Birla Sun Life Mutual Fund'

List of the Historical NAV data.

Python3

data['data']

Output:

[{'date': '25-09-2020', 'nav': '156.32930'},
 {'date': '24-09-2020', 'nav': '156.37000'},
 {'date': '23-09-2020', 'nav': '156.40260'},
 {'date': '22-09-2020', 'nav': '156.34590'},
 {'date': '21-09-2020', 'nav': '156.29950'},
 {'date': '18-09-2020', 'nav': '156.20390'},
 {'date': '17-09-2020', 'nav': '156.16490'},
 {'date': '16-09-2020', 'nav': '156.11460'},
 {'date': '15-09-2020', 'nav': '156.00040'},
 {'date': '14-09-2020', 'nav': '156.12840'},
 {'date': '11-09-2020', 'nav': '156.11520'},
 ....

Step 5: List of Mutual Funds Scheme Codes & Names with get_scheme_codes() method.

Python3

data = obj.get_scheme_codes()
print(data)

Output:

Step 6: Get daily performance of equity schemes with get_open_ended_equity_scheme_performance() module. 

Python3

data = obj.get_open_ended_equity_scheme_performance(True)
print(data)

Output:

{"Large Cap": [{"scheme_name": "Aditya Birla Sun Life Frontline Equity", 
"benchmark": "NIFTY 50 Total Return Index", 
"latest NAV- Regular": "210.1600", 
"latest NAV- Direct": "224.8700", 
"1-Year Return(%)- Regular": "-4.65", 
"1-Year Return(%)- Direct": "-4.02",
 "3-Year Return(%)- Regular": "0.21", 
 "3-Year Return(%)- Direct": "1.03", 
 "5-Year Return(%)- Regular": "5.97", 
 "5-Year Return(%)- Direct": "6.93"},
 .........

Step 7: Get daily performance of debt schemes with get_open_ended_debt_scheme_performance() module.

Python3

value = obj.get_open_ended_debt_scheme_performance(True)
print(value)

Output:

{"Long Duration": [{"scheme_name": "ICICI Prudential Long Term Bond Fund", 
"benchmark": "NIFTY Long Duration Debt Total Return Index", 
"latest NAV- Regular": "70.0523",
"latest NAV- Direct": "74.6568",
"1-Year Return(%)- Regular": "11.13",
"1-Year Return(%)- Direct": "11.68",
"3-Year Return(%)- Regular": "8.52",
............

Step 7: All AMC profiles with get_all_amc_profiles() module.

Python3

data = obj.get_all_amc_profiles(True)
print(data)

Output: