nifpy 0.1.1

Easy to use python package that can be used to fetch live price, closing price, stock summary, index list and fundamentals such as income statement, cash flow statement and balance sheet for stocks that trade on the National Stock Exchange(NSE).

nifpy

nifpy is an easy to use python package that can be used to fetch live price, closing price, stock summary, index list and fundamentals such as income statement, cash flow statement and balance sheet of stocks that trade on the National Stock Exchange(NSE).

Getting Started

Installation

You can install the package from Pypi

pip3 install nifpy

Dependencies

You can install the dependencies by executing the following code in your terminal

pip3 install -r requirements.txt

How to get the scrip name

You can get the scrip/symbol/ticker of the stock you want by opening the yahoo finance website and searching for the company as shown below.

Methods

• get_live_price
• get_summary
• get_data
• get_closing_price
• get_balance_sheet
• get_cash_flow
• get_income_statement

get_live_price

This function returns the live/latest price for the symbol that has been passed as the parameter

from nifpy import *
price = get_live_price(ticker)
print(price)

""" 
Parameters
-------------------------------
ticker : Contains the symbol/ticker for which the live price will be returned
"""
#Example
price = get_live_price('ITC.NS')

get_summary

This function returns the summary of various attributes of the symbol/ticker that has been passed as the parameter

from nifpy import *
summary = get_summary(symbol)
print(summary)

""" 
Parameters
-------------------------------
tickers : Contains the symbol/ticker for which the summary of various attributes will be returned

Returns
-------------------------------
A pandas dataframe that contains various attributes of a ticker such as the:

- Previous Close
- Open
- Bid
- Ask
- Day's Range
- 52 Week Range
- Volume
- Average Volume
- Market Cap
- Beta
- P/E Ratio
- EPS
- Earnings Date
- Forward Dividend and Yield
- Ex-Dividend Date
- 1 Year Target Estimate
"""
#Example
summary = get_summary('MARUTI.NS')

get_data

This function returns the various attributes of a ticker such as the High, Low, Open, Close, Volume and Adjusted Close

from nifpy import *
data = get_data(ticker, start=TODAY-PREV, end=TODAY)
print(data)

# TODAY = datetime.date.today()
# PREV = datetime.timedelta(90)
""" 
Parameters
-------------------------------
tickers : Contains the symbol/ticker for which various attributes mentioned above will be returned

start :   Contains the starting date
          Format: 'dd/mm/yyyy' as in '27/01/2020' 
          Default: Three months from today's date

end :     Contains the end date
          Format: 'dd/mm/yyyy' as in '27/04/2021'
          Default: Today's date
Returns
-------------------------------
A pandas dataframe that contains various attributes of a ticker such as the High, Low, Open, Close, Volume
and Adjusted Close
"""
#Example
data = get_data('WIPRO.NS','27/01/2020','27/04/2021')

get_closing_price

This function returns the Closing price of a list of tickers mentioned in the parameter.

from nifpy import *
closing = get_closing_price(tickers, start=TODAY-PREV, end = TODAY)
print(closing)

# TODAY = datetime.date.today()
# PREV = datetime.timedelta(90)

""" 
Parameters
-------------------------------
tickers : Contains a list of symbols for which the closing price will be returned

start : Contains the starting date from which closing price is required

Format: 'dd/mm/yyyy' as in '25/02/2021' 
Default: Three months from today's date

end : Contains the end date till which closing price is required
          
Format: 'dd/mm/yyyy' as in '27/02/2021' 
Default: Today's date

Other than a custom list some other parameters that can be passed directly to the function are:

- get_sensex()
- get_nifty_next50()
- get_nifty_bank()
- get_nifty_auto()
- get_nifty_financial()
- get_nifty_fmcg()
- get_nifty_it()
- get_nifty_media()
- get_nifty_metal()
- get_nifty_pharma()
- get_nifty_psubank()
- get_nifty_privatebank()
- get_nifty_realty()
- get_nifty()

Returns
-------------------------------
A pandas dataframe that contains the closing price of all symbols passed as the parameter to the function
"""
#Example
stonks = ['TCS.NS', 'TITAN.NS', 'TATASTEEL.NS','ICICIBANK.NS']

closing = get_closing_price(stonks,'27/01/2021','26/02/2021')

# Or you can directly pass indexes mentioned above
closing = get_closing_price(get_nifty_bank(),'27/01/2021','26/02/2021')

get_balance_sheet

Used to obtain the balance sheet of the specified ticker

from nifpy import *
balance_sheet = get_balance_sheet(symbol)
print(balance_sheet)

"""
Parameters
-------------------------------
symbol : It is used to specify the symbol/ticker for   which the balance sheet has to be fetched

Returns
--------------------------------
A dataframe that contains the balance sheet of the company
"""
#Example
balance_sheet = get_balance_sheet('RELIANCE.NS')

get_cash_flow

Used to obtain the cash flow statement of the specified ticker

from nifpy import *
cash_flow = get_cash_flow(symbol)
print(cash_flow)

""" 
Parameters
-------------------------------
symbol : It is used to specify the symbol/ticker for which the cash flow has to be fetched

Returns
--------------------------------
A dataframe that contains the cash flow statement of the company
"""
#Example
cash_flow = get_cash_flow('HCLTECH.NS')

get_income_statement

Used to obtain the income statement of the specified ticker

from nifpy import *
inc_statement = get_income_statement(symbol)
print(inc_statement)

""" 
Parameters
-------------------------------
symbol : It is used to specify the symbol/ticker for which the income statement has to be fetched

Returns
--------------------------------
A dataframe that contains the income statement of the company
"""
#Example
inc_statement = get_income_statement('TITAN.NS')

Indices

• get_nifty()
• get_sensex()
• get_nifty_next50()
• get_nifty_bank()
• get_nifty_auto()
• get_nifty_financial()
• get_nifty_fmcg()
• get_nifty_it()
• get_nifty_media()
• get_nifty_metal()
• get_nifty_pharma()
• get_nifty_psubank()
• get_nifty_privatebank()
• get_nifty_realty()

from nifpy import *
it_stonks = get_nifty_it()
print(it_stonks)

In a similar way stocks trading in other indices are returned as a list and can be used for further analysis.