Download market data from NSEIndia's API

*** IMPORTANT LEGAL DISCLAIMER *** openchart is not affiliated, endorsed, or vetted by NSEIndia. It's an open-source tool that uses NseIndia's publicly available APIs, and is intended for research and educational purposes. OpenChart OpenChart is a Python library for downloading intraday and EOD (End of Day) historical data from the NSE (National Stock Exchange of India) and NFO (NSE Futures and Options) exchanges. Features Download NSE and NFO master data. Search for symbols in NSE and NFO exchanges. Fetch historical data for equities and derivatives. Supports various timeframes: 1m, 3m, 5m, 10m, 15m, 30m, 1h, 1d, 1w, 1M. Installation You can install the library directly from the GitHub repository: pip install openchart or from the GitHub repository: pip install git+https://github.com/marketcalls/openchart.git Usage Import the Library from openchart import NSEData Initialize the NSEData Class nse = NSEData() Download Master Data Before fetching historical data or searching for symbols, download the master data: nse.download() Fetch Historical Data To fetch historical data for a symbol, use the historical method. Always specify start and end dates. You can use datetime and timedelta to get data from 30 days back. Intraday Data Fetch intraday data for TCS with a 5-minute interval, from 30 days ago until today: import datetime end_date = datetime.datetime.now() start_date = end_date - datetime.timedelta(days=30) data = nse.historical( symbol='TCS', exchange='NSE', start=start_date, end=end_date, interval='5m' ) print(data) EOD Data Fetch end-of-day data for Nifty 50, from 365 days ago until today: import datetime end_date = datetime.datetime.now() start_date = end_date - datetime.timedelta(days=365) data = nse.historical( symbol='Nifty 50', exchange='NSE', start=start_date, end=end_date, interval='1d' ) print(data) NFO Data Fetch historical data for a futures contract of 15min data, from 30 days ago until today: import datetime end_date = datetime.datetime.now() start_date = end_date - datetime.timedelta(days=30) data = nse.historical( symbol='BANKNIFTY24OCTFUT', exchange='NFO', start=start_date, end=end_date, interval='15m' ) print(data) Search for Symbols NSE Exchange Search for symbols like Nifty 50, TCS, RELIANCE in the NSE exchange. symbols = nse.search('RELIANCE', exchange='NSE') print(symbols) NFO Exchange Search for symbols like NIFTY24OCTFUT, BANKNIFTY24OCTFUT, NIFTY24N2124800CE, NIFTY24N2124800PE in the NFO exchange. NIFTY24N2124800CE corresponds to NIFTY 21 Nov 2024 CE 24800.00. NIFTY24N2124800PE corresponds to NIFTY 21 Nov 2024 PE 24800.00. symbols = nse.search('24OCTFUT', exchange='NFO') print(symbols) Output ScripCode Symbol Name Type 0 35006 BANKNIFTY24OCTFUT BANKNIFTY 30 Oct 2024 1 1 35007 NIFTYNXT5024OCTFUT NIFTYNXT50 25 Oct 2024 1 2 35012 FINNIFTY24OCTFUT FINNIFTY 29 Oct 2024 1 3 35239 MIDCPNIFTY24OCTFUT MIDCPNIFTY 28 Oct 2024 1 4 35382 NIFTY24OCTFUT NIFTY 31 Oct 2024 1 .. ... ... ... ... 179 48598 UPL24OCTFUT UPL 31 Oct 2024 3 180 48601 VEDL24OCTFUT VEDL 31 Oct 2024 3 181 48602 VOLTAS24OCTFUT VOLTAS 31 Oct 2024 3 182 48603 WIPRO24OCTFUT WIPRO 31 Oct 2024 3 183 48604 ZYDUSLIFE24OCTFUT ZYDUSLIFE 31 Oct 2024 3 [184 rows x 4 columns] Exact Match Search If you want to perform an exact match search, you can set exact_match=True. symbol_info = nse.search('BANKNIFTY24OCTFUT', exchange='NFO', exact_match=True) print(symbol_info) Supported Timeframes print(nse.timeframes()) # Output: ['1m', '3m', '5m', '10m', '15m', '30m', '1h', '1d', '1w', '1M'] Functions download(): Downloads NSE and NFO master data. search(symbol, exchange, exact_match=False): Searches for symbols in the specified exchange ('NSE' or 'NFO'). Returns a pandas DataFrame containing all matching symbols. symbolsearch(symbol, exchange): Searches for a symbol and returns the first match. Used internally by the historical method. historical(symbol, exchange, start, end, interval='1d'): Fetches historical data for a symbol. Uses the symbolsearch method to find the symbol, which returns the first match. Always specify start and end dates when fetching data. timeframes(): Returns a list of supported timeframes. Notes Ensure that you have a stable internet connection. The historical method uses symbolsearch, which returns the first matching symbol. If multiple symbols match your query, consider using an exact symbol name or modifying the historical method to accept a symbol code directly. When fetching historical data, always specify start and end dates. You can use datetime and timedelta to calculate these dates. License This project is licensed under the MIT License - see the LICENSE file for details. Contributing Contributions are welcome! Please open an issue or submit a pull request. Contact For any questions or support, please open an issue on the GitHub repository