Python Stock : NSE

 Introduction to NSE Tools Module in Python

NSE National Stock Exchange of India Limited is the leading stock exchange of India, located in Mumbai, Maharashtra. NSE was established in 1992 as the first dematerialized electronic exchange in the country.

nsetools is a library for collecting real time data from National Stock Exchange of India. 

It can be used in various types of projects which requires fetching live quotes for a given stock or index or building large data sets for further data analytics. 

In order to install nse tools we have to use the command given below 
 

pip install nsetools

Creating a NSE object and Using

 

 # importing nse from nse tools

from nsetools import Nse

 

# creating a Nse object

nse = Nse()

 

# printing Nse object

print(nse)

# Driver Class for National Stock Exchange (NSE)

# getting quote of the sbin

quote = nse.get_quote('sbin')

q1 = nse.get_quote('TATAMOTORS')

# printing company name

print(quote['companyName'])

 

# printing buy price

print("Buy Price : " + str(quote['buyPrice1']))

print("SBIN open : " + str(quote['open']))

print(q1['companyName'])

print("Tata Motors Open : " + str(q1['open']))

Driver Class for National Stock Exchange (NSE)

State Bank of India

Buy Price : None

SBIN open  : 547.0

Tata Motors Limited

Tata Motors Open : 436.1

print(q1)

"""

{'pricebandupper': 479.4, 'symbol': 'TATAMOTORS', 'applicableMargin': 18.43, 'bcEndDate': '09-AUG-16', 'totalSellQuantity': None, 'adhocMargin': None, 'companyName': 'Tata Motors Limited', 'marketType': 'N',
'exDate': '18-JUL-16', 'bcStartDate': '20-JUL-16', 'css_status_desc': 'Listed', 'dayHigh': 437.0, 'basePrice': 435.85, 'securityVar': 14.93, 'pricebandlower': 392.3, 'sellQuantity5': None, 'sellQuantity4': None, 'sellQuantity3': None, 'cm_adj_high_dt': '17-AUG-22', 'sellQuantity2': None, 'dayLow': 419.1, 'sellQuantity1': None, 'quantityTraded': 8780169.0, 'pChange': '-2.93', 'totalTradedValue': 37481.66, 'deliveryToTradedQuantity': 36.45, 'totalBuyQuantity': 2567.0, 'averagePrice': 426.89, 'indexVar': None, 'cm_ffm': 75757.3, 'purpose': 'DIVIDEND - RE 0.20/- PER SHARE', 'buyPrice2': None, 'secDate': '13-Mar-2023 00:00:00', 'buyPrice1': 422.4, 'high52': 494.4, 'previousClose': 435.85, 'ndEndDate': None, 'low52': 366.2,
'buyPrice4': None, 'buyPrice3': None, 'recordDate':
None, 'deliveryQuantity': 3200108.0, 'buyPrice5': None, 'priceBand': 'No Band', 'extremeLossMargin': 3.5, 'cm_adj_low_dt': '12-MAY-22', 'varMargin': 14.93,
'sellPrice1': None, 'sellPrice2': None, 'totalTradedVolume': 8780169.0, 'sellPrice3': None, 'sellPrice4': None, 'sellPrice5': None, 'change': '-12.75', 'surv_indicator': None, 'ndStartDate': None, 'buyQuantity4': None, 'isExDateFlag': False, 'buyQuantity3': None, 'buyQuantity2': None, 'buyQuantity1': 2567.0, 'series': 'EQ', 'faceValue': 2.0, 'buyQuantity5': None, 'closePrice': 422.4, 'open': 436.1, 'isinCode': 'INE155A01022', 'lastPrice': 423.1} """