Skip to main content

No project description provided

Project description

nse_live_stocks

Python library for extracting realtime stock data from National Stock Exchange (India) .

Introduction.

nselivestocks library is to collect the real time stock information just by giving the nse symbol.

Package link

https://pypi.org/project/nse-live-stocks/

Command to install

pip install nse_live_stocks

Example:

i) Get current price of any nse stock

from nse_live_stocks import Nse

stock = Nse()

result = stock.get_current_price('TCS')

print(result)

Output:

{'error': False, 'nse_symbol': 'TCS', 'current_value': '4393.65', 'date': '26-Jul-2024 09:07:13'}

ii) Get Complete information of any nse stock

from nse_live_stocks import Nse

stock = Nse()

result = stock.get_stock_info('ABB')

print(result)

Output:

{'info': {'symbol': 'ABB', 'companyName': 'ABB India Limited', 'industry': 'ELECTRICAL EQUIPMENT', 'activeSeries': ['EQ'], 'debtSeries': [], 'isFNOSec': True, 'isCASec': False, 'isSLBSec': True, 'isDebtSec': False, 'isSuspended': False, 'tempSuspendedSeries': [], 'isETFSec': False, 'isDelisted': False, 'isin': 'INE117A01022', 'isMunicipalBond': False, 'isTop10': False, 'identifier': 'ABBEQN'}, 'metadata': {'series': 'EQ', 'symbol': 'ABB', 'isin': 'INE117A01022', 'status': 'Listed', 'listingDate': '08-Feb-1995', 'industry': 'Heavy Electrical Equipment', 'lastUpdateTime': '26-Jul-2024 16:00:00', 'pdSectorPe': 110.46, 'pdSymbolPe': 110.46, 'pdSectorInd': 'NIFTY NEXT 50', 'pdSectorIndAll': ['NIFTY NEXT 50', 'NIFTY TOTAL MARKET', 'NIFTY MNC', 'NIFTY 200', 'NIFTY100 QUALITY 30', 'NIFTY ALPHA 50', 'NIFTY100 EQUAL WEIGHT', 'NIFTY100 ESG SECTOR LEADERS', 'NIFTY LARGEMIDCAP 250', 'NIFTY500 MULTICAP 50:25:25', 'NIFTY200 MOMENTUM 30', 'NIFTY500 LARGEMIDSMALL EQUAL-CAP WEIGHTED', 'NIFTY200 ALPHA 30', 'NIFTY500 EQUAL WEIGHT', 'NIFTY100 ESG', 'NIFTY500 MOMENTUM 50', 'NIFTY INDIA MANUFACTURING', 'NIFTY 500', 'NIFTY 100']}, 'securityInfo': {'boardStatus': 'Main', 'tradingStatus': 'Active', 'tradingSegment': 'Normal Market', 'sessionNo': '-', 'slb': 'Yes', 'classOfShare': 'Equity', 'derivatives': 'Yes', 'surveillance': {'surv': None, 'desc': None}, 'faceValue': 2, 'issuedSize': 211908375}, 'sddDetails': {'SDDAuditor': '-', 'SDDStatus': '-'}, 'priceInfo': {'lastPrice': 7849, 'change': 225.19999999999982, 'pChange': 2.95390750019675, 'previousClose': 7623.8, 'open': 7698.95, 'close': 7851.25, 'vwap': 7789.44, 'lowerCP': '6861.45', 'upperCP': '8386.15', 'pPriceBand': 'No Band', 'basePrice': 7623.8, 'intraDayHighLow': {'min': 7649.35, 'max': 7870, 'value': 7849}, 'weekHighLow': {'min': 3850, 'minDate': '26-Oct-2023', 'max': 9149.95, 'maxDate': '18-Jun-2024', 'value': 7849}, 'iNavValue': None, 'checkINAV': False, 'tickSize': 0.05}, 'industryInfo': {'macro': 'Industrials', 'sector': 'Capital Goods', 'industry': 'Electrical Equipment', 'basicIndustry': 'Heavy Electrical Equipment'}, 'preOpenMarket': {'preopen': [{'price': 7471.35, 'buyQty': 0, 'sellQty': 1}, {'price': 7599, 'buyQty': 0, 'sellQty': 1}, {'price': 7608, 'buyQty': 0, 'sellQty': 5}, {'price': 7620, 'buyQty': 0, 'sellQty': 35}, {'price': 7698.95, 'buyQty': 0, 'sellQty': 0, 'iep': True}, {'price': 7800.4, 'buyQty': 1, 'sellQty': 0}, {'price': 7800.9, 'buyQty': 2, 'sellQty': 0}, {'price': 7852.5, 'buyQty': 26, 'sellQty': 0}, {'price': 7918.6, 'buyQty': 58, 'sellQty': 0}], 'ato': {'buy': 71, 'sell': 55}, 'IEP': 7698.95, 'totalTradedVolume': 264, 'finalPrice': 7698.95, 'finalQuantity': 264, 'lastUpdateTime': '26-Jul-2024 09:07:11', 'totalBuyQuantity': 2977, 'totalSellQuantity': 5441, 'atoBuyQty': 71, 'atoSellQty': 55, 'Change': 75.14999999999964, 'perChange': 0.9857289015976237, 'prevClose': 7623.8}}

Thank you.

Akhil kodati

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nse_live_stocks-0.6.tar.gz (3.4 kB view details)

Uploaded Source

Built Distribution

nse_live_stocks-0.6-py3-none-any.whl (3.7 kB view details)

Uploaded Python 3

File details

Details for the file nse_live_stocks-0.6.tar.gz.

File metadata

  • Download URL: nse_live_stocks-0.6.tar.gz
  • Upload date:
  • Size: 3.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.4

File hashes

Hashes for nse_live_stocks-0.6.tar.gz
Algorithm Hash digest
SHA256 a1e386b64aaa2414e8ab4572a119fadca31027eb472fbdfa63fa362b0b3dd086
MD5 77149796b5a36451a61e6ce98ae99220
BLAKE2b-256 7024d4072658d35c71c984d87e74ed69e545512cc34994411a8d6c4464ad3189

See more details on using hashes here.

File details

Details for the file nse_live_stocks-0.6-py3-none-any.whl.

File metadata

File hashes

Hashes for nse_live_stocks-0.6-py3-none-any.whl
Algorithm Hash digest
SHA256 e81ce4a4967d8e8f1039868367ed855bb2925c1bdbffba3b9188bc54699acf72
MD5 264d4797972388615eae6e99b04ffc0f
BLAKE2b-256 1ebb2478db472df46ee8672aba8ba787d0ead3b9f0fcfb34146a191e9db3baad

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page