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

Python provides powerful tools for accessing real-time mutual fund data through various APIs and libraries. The mftool module is particularly useful for Indian mutual funds, offering access to NAV data, scheme details, and historical performance from the Association of Mutual Funds in India (AMFI).

Installation

Before working with mutual fund data, install the required module ?

pip install mftool

Getting Started with Mftool

First, import the module and create an Mftool object ?

from mftool import Mftool

# Create Mftool object
mf = Mftool()
print("Mftool object created successfully")

Mftool object created successfully

Method 1: Getting Current Scheme Quote

Use get_scheme_quote() to fetch current NAV and basic information for a specific mutual fund scheme ?

from mftool import Mftool

mf = Mftool()

# Get current quote for scheme code 119551
quote_data = mf.get_scheme_quote('119551')

print("Scheme Name:", quote_data['scheme_name'])
print("NAV:", quote_data['nav'])
print("Date:", quote_data['last_updated'])

Scheme Name: Aditya Birla Sun Life Banking & PSU Debt Fund - Direct - IDCW
NAV: 111.6462
Date: 08-May-2023

Method 2: Getting Detailed Scheme Information

Use get_scheme_details() to retrieve comprehensive scheme information ?

from mftool import Mftool

mf = Mftool()

# Get detailed information for scheme
details = mf.get_scheme_details("119551")

print("Fund House:", details['fund_house'])
print("Scheme Type:", details['scheme_type']) 
print("Scheme Category:", details['scheme_category'])
print("Scheme Start Date:", details['scheme_start_date'])

Fund House: Aditya Birla Sun Life Mutual Fund
Scheme Type: Open Ended Schemes
Scheme Category: Debt Scheme - Banking and PSU Fund
Scheme Start Date: 02-Jan-2013

Method 3: Historical NAV Data

Access historical Net Asset Value data using get_scheme_historical_nav() ?

from mftool import Mftool

mf = Mftool()

# Get historical NAV data
historical_data = mf.get_scheme_historical_nav("119551")

print("Fund House:", historical_data['fund_house'])
print("Recent NAV entries:")

# Display last 5 NAV records
for i, record in enumerate(historical_data['data'][:5]):
    print(f"{i+1}. Date: {record['date']}, NAV: {record['nav']}")

Fund House: Aditya Birla Sun Life Mutual Fund
Recent NAV entries:
1. Date: 08-05-2023, NAV: 111.64620
2. Date: 04-05-2023, NAV: 111.55600
3. Date: 03-05-2023, NAV: 111.53400
4. Date: 02-05-2023, NAV: 111.45510
5. Date: 28-04-2023, NAV: 111.38140

Getting All AMC Profiles

Retrieve information about all Asset Management Companies ?

from mftool import Mftool

mf = Mftool()

# Get all AMC profiles
amc_data = mf.get_all_amc_profiles(True)

print("Number of AMCs:", len(amc_data))
print("First few AMCs:")

# Display first 3 AMC names
for i, amc in enumerate(list(amc_data.keys())[:3]):
    print(f"{i+1}. {amc}")

Number of AMCs: 44
First few AMCs:
1. Aditya Birla Sun Life Mutual Fund
2. HDFC Mutual Fund
3. ICICI Prudential Mutual Fund

Key Features Comparison

Conclusion

The mftool library provides an efficient way to access real-time and historical mutual fund data in Python. Use get_scheme_quote() for current NAV, get_scheme_historical_nav() for trend analysis, and combine methods for comprehensive investment research.