A Python package to fetch data from the National Stock Exchange (NSE) of India, including market data, IPOs, indices, and more.
pip install NseKit"Please refer to NseKit_Usage.py for usage."
#=============================================================================================================================#
# NseKit
#=============================================================================================================================#
# import NseKit, Moneycontrol
from NseKit import NseKit, Moneycontrol
from rich.console import Console
# #--------------------------------------------------- Configuration Section ----------------------------------------------------
# You can control settings globally or per-instance.
# # 1. GLOBAL SETTINGS (Affects all new Nse instances by default)
# NseKit.NseConfig.max_rps = 2.0 # Default: 3.0
# NseKit.NseConfig.retries = 3 # Default: 2
# NseKit.NseConfig.retry_delay = 2.0 # Default: 2.0
# NseKit.NseConfig.cookie_cache = False # Default: True
# 2. PER-INSTANCE SETTINGS (Overwrites global settings for this instance only)
# get_custom = NseKit.Nse(max_rps = 1.0, retries = 2, retry_delay = 3.0, cookie_cache = True)
# 3. DEFAULT INSTANCE (Uses whatever is currently in NseConfig)
get = NseKit.Nse()
# #-----------------
mc = Moneycontrol
rich = Console()
# # 🔹 NSE configuration
# NseKit.show_config(get) # current NSE configuration (GLOBAL or INSTANCE)
# #---------------------------------------------------------- Cookie ----------------------------------------------------------
# # 🔹 Cookie
# NseKit.Nse.clear_cookie_cache() # Delete the cookie cache
# #---------------------------------------------------------- NSE Data ----------------------------------------------------------
# # 🔹 Market Status
# print(get.nse_market_status("Market Status")) # "Market Status" | "Mcap" | "Nifty50" | "Gift Nifty"
# rich.print(get.nse_is_market_open("Capital Market"), "\n") # "Capital Market" | "Currency" | "Commodity" | "Debt" | "currencyfuture"
# # 🔹 Trading Holidays
# print(get.nse_trading_holidays()) # Trading holidays DataFrame
# print(get.nse_trading_holidays(list_only=True)) # List of trading holiday dates
# # 🔹 Clearing Holidays
# print(get.nse_clearing_holidays()) # Clearing holidays DataFrame
# print(get.nse_clearing_holidays(list_only=True)) # List of clearing holiday dates
# # 🔹 Check Trading Holiday
# print(get.is_nse_trading_holiday()) # Check if today is a trading holiday
# print(get.is_nse_trading_holiday("25-Dec-2026")) # Check if specific date is a trading holiday
# # 🔹 Check Clearing Holiday
# print(get.is_nse_clearing_holiday()) # Check if today is a clearing holiday
# print(get.is_nse_clearing_holiday("25-Dec-2026")) # Check if specific date is a clearing holiday
# # 🔹 Live Market Turnover
# print(get.nse_live_market_turnover()) # Live market turnover summary
# # 🔹 Historical Circulars
# print(get.nse_live_hist_circulars()) # Default: yesterday to today
# print(get.nse_live_hist_circulars("18-07-2025", "18-10-2025")) # Specific date range
# print(get.nse_live_hist_circulars(filter="Listing")) # Filter by department
# # 🔹 Historical Press Releases
# print(get.nse_live_hist_press_releases()) # Default: yesterday to today
# print(get.nse_live_hist_press_releases("18-07-2025", "18-10-2025")) # Specific date range
# print(get.nse_live_hist_press_releases("01-10-2025", "4-10-2025", "NSE Listing")) # Filter by department
# '''
# Corporate Communications , Investor Services Cell , Member Compliance , NSE Clearing , NSE Indices , NSE Listing , Surveillance
# '''
# # 🔹 Reference Rates
# print(get.nse_reference_rates()) # Currency reference rates
# # 🔹 Top 10 Nifty 50
# print(get.nse_eod_top10_nifty50("17-10-25")) # Top 10 Nifty 50 for specific trade date (DD-MM-YY)
# # 🔹 Nifty 50 List
# print(get.nse_6m_nifty_50()) # Nifty 50 constituents
# print(get.nse_6m_nifty_50(list_only=True)) # List of Nifty 50 symbols
# # 🔹 F&O Full List
# print(get.nse_eom_fno_full_list()) # Full Stock F&O DataFrame
# print(get.nse_eom_fno_full_list(list_only=True)) # Stock F&O symbols list only
# print(get.nse_eom_fno_full_list("index")) # Full Index F&O DataFrame
# print(get.nse_eom_fno_full_list("index", list_only=True)) # Index F&O symbols list only
# # 🔹 Nifty 500 List
# print(get.nse_6m_nifty_500()) # Nifty 500 constituents
# print(get.nse_6m_nifty_500(list_only=True)) # List of Nifty 500 symbols
# # 🔹 Equity Full List
# print(get.nse_eod_equity_full_list()) # Full equity list
# print(get.nse_eod_equity_full_list(list_only=True)) # List of equity symbols
# # 🔹 Indices Name List
# print(get.list_of_indices()) # Indices Name List {JSON}
# print(get.state_wise_registered_investors()) # state wise registered investors {JSON}
# #---------------------------------------------------------- IPO Data ----------------------------------------------------------#
# # 🔹 Currently Open IPOs
# print(get.ipo_current())
# # 🔹 Today's Special Pre-Open Session (Newly Listed IPOs)
# print(get.ipo_preopen())
# # 🔹 IPO Tracker Summary
# print(get.ipo_tracker_summary()) # All YTD IPOs
# print(get.ipo_tracker_summary("SME")) # SME IPOs Only
# print(get.ipo_tracker_summary("Mainboard")) # Mainboard IPOs Only
# #---------------------------------------------------------- Pre-Open Market ----------------------------------------------------------
# # 🔹 Pre-Open Index Info
# print(get.pre_market_nifty_info("NIFTY 50")) # Index A/D Summary, "Nifty Bank" | "Emerge" | "Securities in F&O" | "Others" | "All"
# # 🔹 All NSE Pre-Open Advances/Declines Summary ❌ unwanted function use print(get.pre_market_nifty_info("All"))
# print(get.pre_market_all_nse_adv_dec_info()) # NSE-wide Advance/Decline Data
# # 🔹 Pre-Open Market Stocks (All Categories)
# print(get.pre_market_info("All")) # All Pre-Open Stocks
# print(get.pre_market_info("NIFTY 50")) # Nifty 50 Pre-Open
# print(get.pre_market_info("Nifty Bank")) # Bank Nifty Pre-Open
# print(get.pre_market_info("Emerge")) # SME Pre-Open
# print(get.pre_market_info("Securities in F&O")) # F&O Stocks Pre-Open
# # 🔹 Pre-Open Market Derivatives
# print(get.pre_market_derivatives_info("Stock Futures")) # Derivatives Pre-Open data "Index Futures" | "Stock Futures"
# #---------------------------------------------------------- Index Live Data ----------------------------------------------------------
# # 🔹 All NSE Indices Live Data
# print(get.index_live_all_indices_data()) # All Indices Live Snapshot
# # 🔹 Specific Index Constituents
# print(get.index_live_indices_stocks_data("NIFTY 50")) # Nifty 50 Stocks DataFrame (Raw)
# print(get.index_live_indices_stocks_data("NIFTY 50", short=True)) # Nifty 50 Stocks DataFrame (Short)
# print(get.index_live_indices_stocks_data("NIFTY IT", list_only=True)) # Only Nifty 50 Symbols (Raw)
# print(get.index_live_indices_stocks_data("NIFTY IT", short=True, list_only=True)) # Only Nifty 50 Symbols (Short)
# # 🔹 Nifty 50 Returns Summary
# print(get.index_live_nifty_50_returns()) # 1W–5Y Nifty Return %
# # 🔹 Index Contribution Data
# print(get.index_live_contribution()) # Nifty 50 Stock-wise Index Contribution
# print(get.index_live_contribution("Full")) # Nifty 50 Full Stock-wise Index Contribution
# print(get.index_live_contribution("NIFTY IT")) # Index Stock-wise Contribution
# print(get.index_live_contribution("NIFTY IT","Full")) # Index Full Stock-wise Index Contribution
# #---------------------------------------------------------- Index_Eod_Data ----------------------------------------------------------------#
# # 🔹 Fetch NSE Index EOD Bhavcopy for a specific date
# print(get.index_eod_bhav_copy("17-10-2025")) # Returns DataFrame of all indices for that date
# # 🔹 Fetch Historical Index Data (OHLC + Turnover)
# print(get.index_historical_data("NIFTY 50", "01-01-2025", "17-10-2025"))
# print(get.index_historical_data("NIFTY 50", "01-12-2025")) # Auto today date as "To date"
# print(get.index_historical_data("NIFTY BANK", "1W")) # Last 1 Week '1D','1W','1M','3M','6M','1Y','2Y','5Y','10Y','YTD','MAX'
# # 🔹 Fetch Historical Index P/E, P/B, Dividend Yield
# print(get.index_pe_pb_div_historical_data("NIFTY 50", "01-01-2025", "17-10-2025"))
# print(get.index_pe_pb_div_historical_data("NIFTY 50", "01-12-2025")) # Auto today date as "To date"
# print(get.index_pe_pb_div_historical_data("NIFTY BANK", "1Y")) # Last 1 year '1D','1W','1M','3M','6M','1Y','2Y','5Y','10Y','YTD','MAX'
# # 🔹 Fetch Historical India VIX Data
# print(get.india_vix_historical_data("01-08-2025", "17-10-2025")) # Direct date range
# print(get.india_vix_historical_data("1M")) # Last 6 months "1M", "3M", "6M", "1Y", "2Y", "5Y", "10Y", "YTD", "MAX"
# #---------------------------------------------------------- Live Gift Nifty & USDINR ----------------------------------------------------------------
# # 🔹 Fetch live Gift Nifty & USDINR data
# print(get.cm_live_gifty_nifty()) # Gift Nifty & USDINR data
# #---------------------------------------------------------- Live Market Statistics ----------------------------------------------------------------
# # 🔹 Fetch live Capital Market statistics from NSE
# print(get.cm_live_market_statistics()) # Capital Market statistics
# #---------------------------------------------------------- Live Chart Data ----------------------------------------------------------
# print(get.index_chart("NIFTY 50","1D")) # "1D" "1M" "3M" "6M" "1Y"
# print(get.stock_chart("RELIANCE", "1D"))
# print(get.fno_chart("TCS", "FUTSTK","30-03-2026"))
# print(get.fno_chart("NIFTY", "OPTIDX","30-03-2026","PE25700"))
# print(get.india_vix_chart())
# #---------------------------------------------------------- Capital Market Live Data ----------------------------------------------------------
# # 🔹 Equity Information (Old)
# print(get.cm_live_equity_info("RELIANCE")) # Equity details for a symbol
# # 🔹 Equity Price Information (Old)
# print(get.cm_live_equity_price_info("RELIANCE")) # Detailed price data with bid/ask levels
# # 🔹 Equity Information (New)
# print(get.cm_live_equity_full_info("RELIANCE")) # Equity details for a symbol
# # 🔹 Most Active Equities by Value
# print(get.cm_live_most_active_equity_by_value()) # Most active equities by traded value
# # 🔹 Most Active Equities by Volume
# print(get.cm_live_most_active_equity_by_vol()) # Most active equities by traded volume
# # 🔹 Volume Spurts
# print(get.cm_live_volume_spurts()) # Volume Spurts
# # 🔹 52-Week High
# print(get.cm_live_52week_high()) # Stocks hitting 52-week highs
# # 🔹 52-Week Low
# print(get.cm_live_52week_low()) # Stocks hitting 52-week lows
# # 🔹 Block Deals
# print(get.cm_live_block_deal()) # Recent block deal data
# # 🔹 Insider Trading
# print(get.cm_live_hist_insider_trading()) # Today's Insider trading
# print(get.cm_live_hist_insider_trading("1M")) # period "1D", "1W", "1M", "3M", "6M", "1Y"
# print(get.cm_live_hist_insider_trading("01-01-2025", "15-10-2025")) # Date range
# print(get.cm_live_hist_insider_trading("RELIANCE")) # Today Insider trading for a symbol
# print(get.cm_live_hist_insider_trading("RELIANCE", "1M")) # Symbol with period "1D", "1W", "1M", "3M", "6M", "1Y"
# print(get.cm_live_hist_insider_trading("RELIANCE", "01-01-2025", "15-10-2025")) # Symbol + date range
# # 🔹 Corporate Announcements
# print(get.cm_live_hist_corporate_announcement()) # Corporate announcements
# print(get.cm_live_hist_corporate_announcement("14-10-2025", "15-10-2025")) # Date range
# print(get.cm_live_hist_corporate_announcement("RELIANCE")) # Announcements for a symbol
# print(get.cm_live_hist_corporate_announcement("RELIANCE", "01-01-2025", "15-10-2025")) # Symbol + date range
# # 🔹 Corporate Actions
# print(get.cm_live_hist_corporate_action()) # Corporate actions (default: next 90 days)
# print(get.cm_live_hist_corporate_action("1M")) # period "1D", "1W", "1M", "3M", "6M", "1Y"
# print(get.cm_live_hist_corporate_action("01-01-2025", "15-10-2025")) # Date range
# print(get.cm_live_hist_corporate_action("LAURUSLABS")) # Symbol Corporate actions
# print(get.cm_live_hist_corporate_action("LAURUSLABS", "1Y")) # Symbol with period "1D", "1W", "1M", "3M", "6M", "1Y"
# print(get.cm_live_hist_corporate_action("RELIANCE", "01-01-2025", "15-10-2025")) # Symbol + date range
# print(get.cm_live_hist_corporate_action("01-01-2025", "15-03-2025", "Dividend")) # Filter by date and purpose
# # 🔹 Today's Event Calendar
# print(get.cm_live_today_event_calendar()) # Today's corporate events
# print(get.cm_live_today_event_calendar("01-01-2025", "01-01-2025")) # Specific date range
# # 🔹 Upcoming Event Calendar
# print(get.cm_live_upcoming_event_calendar()) # Upcoming corporate events
# # 🔹 Board Meetings
# print(get.cm_live_hist_board_meetings()) # Board meetings
# print(get.cm_live_hist_board_meetings("01-01-2025", "15-10-2025")) # Date range
# print(get.cm_live_hist_board_meetings("RELIANCE")) # Board meetings for a symbol
# print(get.cm_live_hist_board_meetings("RELIANCE", "01-01-2025", "15-10-2025")) # Symbol + date range
# # 🔹 Shareholder Meetings
# print(get.cm_live_hist_Shareholder_meetings()) # Shareholder meetings
# print(get.cm_live_hist_Shareholder_meetings("01-01-2025", "15-10-2025")) # Date range
# print(get.cm_live_hist_Shareholder_meetings("RELIANCE")) # Shareholder meetings for a symbol
# print(get.cm_live_hist_Shareholder_meetings("RELIANCE", "01-01-2025", "15-10-2025")) # Symbol + date range
# # 🔹 Qualified Institutional Placement (QIP)
# print(get.cm_live_hist_qualified_institutional_placement("In-Principle"))
# print(get.cm_live_hist_qualified_institutional_placement("Listing Stage"))
# print(get.cm_live_hist_qualified_institutional_placement("In-Principle", "1Y")) # QIP for a period: "1D", "1W", "1M", "3M", "6M", "1Y"
# print(get.cm_live_hist_qualified_institutional_placement("Listing Stage", "1Y"))
# print(get.cm_live_hist_qualified_institutional_placement("In-Principle", "01-01-2025", "15-10-2025"))
# print(get.cm_live_hist_qualified_institutional_placement("Listing Stage", "01-01-2025", "15-10-2025"))
# print(get.cm_live_hist_qualified_institutional_placement("RELIANCE")) # QIP for a symbol
# print(get.cm_live_hist_qualified_institutional_placement("In-Principle", "RELIANCE", "01-01-2025")) # Auto today date as "To date"
# print(get.cm_live_hist_qualified_institutional_placement("In-Principle", "RELIANCE", "01-01-2025", "15-10-2025")) # Symbol + date range + stage
# # 🔹 Preferential Issue
# print(get.cm_live_hist_preferential_issue("In-Principle"))
# print(get.cm_live_hist_preferential_issue("Listing Stage"))
# print(get.cm_live_hist_preferential_issue("In-Principle", "1Y")) # Preferential issue for a period: "1D", "1W", "1M", "3M", "6M", "1Y"
# print(get.cm_live_hist_preferential_issue("Listing Stage", "1Y"))
# print(get.cm_live_hist_preferential_issue("In-Principle", "01-01-2025", "15-10-2025"))
# print(get.cm_live_hist_preferential_issue("Listing Stage", "01-01-2025", "15-10-2025"))
# print(get.cm_live_hist_preferential_issue("RELIANCE")) # Preferential issue for a symbol
# print(get.cm_live_hist_preferential_issue("In-Principle", "RELIANCE", "01-01-2025")) # Auto today date as "To date"
# print(get.cm_live_hist_preferential_issue("In-Principle", "RELIANCE", "01-01-2025", "15-10-2025")) # Symbol + date range + stage
# # 🔹 Right Issue
# print(get.cm_live_hist_right_issue("In-Principle"))
# print(get.cm_live_hist_right_issue("Listing Stage"))
# print(get.cm_live_hist_right_issue("In-Principle", "1Y")) # Right issue for a period: "1D", "1W", "1M", "3M", "6M", "1Y"
# print(get.cm_live_hist_right_issue("Listing Stage", "1Y"))
# print(get.cm_live_hist_right_issue("In-Principle", "01-01-2025", "15-10-2025"))
# print(get.cm_live_hist_right_issue("Listing Stage", "01-01-2025", "15-10-2025"))
# print(get.cm_live_hist_right_issue("RELIANCE")) # Right issue for a symbol
# print(get.cm_live_hist_right_issue("In-Principle", "RELIANCE", "01-01-2025")) # Auto today date as "To date"
# print(get.cm_live_hist_right_issue("In-Principle", "RELIANCE", "01-01-2025", "15-10-2025")) # Symbol + date range + stage
# # 🔹 Voting Results
# print(get.cm_live_voting_results()) # Corporate voting results
# # 🔹 Quarterly Shareholding Patterns
# print(get.cm_live_qtly_shareholding_patterns()) # Quarterly shareholding patterns
# # 🔹 Annual Reports
# print(get.recent_annual_reports()) # Recent 20 Annual reports
# # 🔹 Business Responsibility and Sustainability Reports
# print(get.cm_live_hist_br_sr()) # All Business Responsibility and Sustainability Reports
# print(get.cm_live_hist_br_sr("RELIANCE")) # Business Responsibility and Sustainability Reports for a symbol
# print(get.cm_live_hist_br_sr("01-01-2025", "15-10-2025")) # Date range
# print(get.cm_live_hist_br_sr("RELIANCE", "01-01-2025", "15-10-2025")) # Symbol + date range
# # 🔹 Quarterly Results - {JSON}
# print(get.quarterly_financial_results('TCS')) # Last 3 Quarterly Results Consolidated/Standalone (Income, PBT, Net Profit, EPS)
# url = "https://nsearchives.nseindia.com/corporate/ixbrl/INTEGRATED_FILING_INDAS_139754_02022026201126_iXBRL_WEB.html"
# print(get.html_tables(url, show_tables=False, output="json"))
# print(get.html_tables(url, output="df"))
# #---------------------------------------------------------- FnO Live Data ----------------------------------------------------------
# # 🔹 All Futures & Options contracts Data
# # (JSON format only)
# print(get.symbol_full_fno_live_data("TCS"))
# print(get.symbol_specific_most_active_Calls_or_Puts_or_Contracts_by_OI("TCS","C")) # Most Active Calls "C" | Puts "P" | Contracts by Open Interest (OI) "O"
# print(get.identifier_based_fno_contracts_live_chart_data("OPTSTKTCS30-12-2025CE3300.00"))
# # 🔹 Futures Data
# print(get.fno_live_futures_data("RELIANCE")) # Stock futures data for a symbol
# print(get.fno_live_futures_data("NIFTY")) # Index futures data for a symbol
# # 🔹 Top 20 Contracts Stock Futures, Stock Options
# print(get.fno_live_top_20_derivatives_contracts("Stock Futures")) # Top 20 Contracts "Stock Futures" | "Stock Options"
# # 🔹 Most Active Futures Contracts by Volume
# print(get.fno_live_most_active_futures_contracts("Volume")) # Most active futures by volume
# print(get.fno_live_most_active_futures_contracts("Value")) # Most active futures by Value
# # 🔹 Most Active
# print(get.fno_live_most_active("Index", "Call", "Volume")) # Most active index call options
# print(get.fno_live_most_active("Index", "Call", "Value")) # Most active index calls by traded value
# print(get.fno_live_most_active("Index", "Put", "Volume")) # Most active index put options
# print(get.fno_live_most_active("Index", "Put", "Value")) # Most active index puts by traded value
# print(get.fno_live_most_active("Stock", "Call", "Volume")) # Most active stock call options
# print(get.fno_live_most_active("Stock", "Call", "Value")) # Most active stock calls by traded value
# print(get.fno_live_most_active("Stock", "Put", "Volume")) # Most active stock put options
# print(get.fno_live_most_active("Stock", "Put", "Value")) # Most active stock puts by traded value
# # 🔹 Most Active Contracts by Open Interest
# print(get.fno_live_most_active_contracts_by_oi()) # Most active contracts by open interest
# # 🔹 Most Active Contracts by Volume
# print(get.fno_live_most_active_contracts_by_volume()) # Most active contracts by volume
# # 🔹 Most Active Options Contracts by Volume
# print(get.fno_live_most_active_options_contracts_by_volume()) # Most active options by volume
# # 🔹 Most Active Underlying
# print(get.fno_live_most_active_underlying()) # Most Active Underlying
# # 🔹 Change in Open Interest
# print(get.fno_live_change_in_oi()) # Change in Open Interest
# # 🔹 Price Vs OI
# print(get.fno_live_oi_vs_price()) # Price Vs OI (Rise in OI and Rise in Price, Rise in OI and Slide in Price, etc)
# # 🔹 Expiry Date - Raw
# print(get.fno_expiry_dates_raw()) # Nifty All Expiry Date {JSON}
# print(get.fno_expiry_dates_raw("TCS")) # TCS All Expiry Date {JSON}
# # 🔹 Expiry Date
# print(get.fno_expiry_dates()) # Nifty All Expiry Date
# print(get.fno_expiry_dates("TCS")) # TCS All Expiry Date
# print(get.fno_expiry_dates("NIFTY", "Current")) # Nifty Current Expiry Date only → "28-10-2025"
# print(get.fno_expiry_dates("NIFTY", "Next Week")) # Nifty Next Week Expiry Date only → "04-11-2025"
# print(get.fno_expiry_dates("NIFTY", "Month")) # Nifty Month Expiry Date only → "25-11-2025"
# print(get.fno_expiry_dates("NIFTY", "All")) # → ["28-10-2025", "04-11-2025", "25-11-2025"]
# print(get.fno_expiry_dates("TCS", "Current")) # TCS Current Expiry Date only
# print(get.fno_expiry_dates("TCS", "Month")) # TCS Next Month Expiry Date only
# # 🔹 Option Chain
# print(get.fno_live_option_chain("RELIANCE")) # Option chain for a stock symbol
# print(get.fno_live_option_chain("NIFTY")) # Option chain for an index
# print(get.fno_live_option_chain("RELIANCE", expiry_date="27-Jan-2026")) # Option chain with specific expiry
# print(get.fno_live_option_chain("RELIANCE", oi_mode="compact")) # Compact option chain data
# print(get.fno_live_option_chain_raw("M&M", expiry_date="27-Jan-2026")) # Raw Option chain with specific expiry {JSON}
# # 🔹 Active Contracts
# print(get.fno_live_active_contracts("NIFTY")) # Active index option contracts
# print(get.fno_live_active_contracts("NIFTY", expiry_date="27-Jan-2026")) # Active index contracts with expiry
# print(get.fno_live_active_contracts("RELIANCE")) # Active stock option contracts
# print(get.fno_live_active_contracts("RELIANCE", expiry_date="27-Jan-2026")) # Active stock contracts with expiry
# #---------------------------------------------------------- CM EOD Data ----------------------------------------------------------
# # 🔹 FII/DII Activity
# print(get.cm_eod_fii_dii_activity()) # Latest FII/DII trading activity
# print(get.cm_eod_fii_dii_activity("Nse")) # Latest FII/DII trading activity in NSE
# # 🔹 Market Activity Report
# print(get.cm_eod_market_activity_report("17-10-25")) # Market activity for specific date
# # 🔹 Bhavcopy with Delivery
# print(get.cm_eod_bhavcopy_with_delivery("17-10-2025")) # Full bhavcopy with delivery data
# # 🔹 Equity Bhavcopy
# print(get.cm_eod_equity_bhavcopy("17-10-2025")) # Equity-only bhavcopy
# # 🔹 52-Week High/Low
# print(get.cm_eod_52_week_high_low("17-10-2025")) # 52-week high/low for date
# # 🔹 Bulk Deals (Latest)
# print(get.cm_eod_bulk_deal()) # Latest bulk deals
# # 🔹 Block Deals (Latest)
# print(get.cm_eod_block_deal()) # Latest block deals
# # 🔹 Short Selling
# print(get.cm_eod_shortselling("17-10-2025")) # Short selling for date
# # 🔹 Surveillance Indicator
# print(get.cm_eod_surveillance_indicator("17-10-25")) # Surveillance for date (yy format)
# # 🔹 Series Change
# print(get.cm_eod_series_change()) # Latest series changes
# # 🔹 Equity Band Changes
# print(get.cm_eod_eq_band_changes("17-10-2025")) # Band changes for date
# # 🔹 Equity Price Band(EOD)
# print(get.cm_eod_eq_price_band("17-10-2025")) # Price bands for date
# # 🔹 Equity Price Band(Historical)
# print(get.cm_hist_eq_price_band()) # today date data for all symbol
# print(get.cm_hist_eq_price_band("1W")) # 1D, 1W, 1M, 3M, 6M, 1Y
# print(get.cm_hist_eq_price_band("01-10-2025")) # From Date given auto To date (today Date)
# print(get.cm_hist_eq_price_band("15-10-2025", "17-10-2025")) # Date range
# print(get.cm_hist_eq_price_band("WEWIN")) # Bulk deals for symbol
# print(get.cm_hist_eq_price_band("WEWIN", "1Y")) # 1Y for symbol 1D, 1W, 1M, 3M, 6M, 1Y
# print(get.cm_hist_eq_price_band("DSSL", "01-10-2025")) # From Date given auto To date (today Date) for symbol
# print(get.cm_hist_eq_price_band("DSSL", "01-10-2025", "17-10-2025")) # Date range for symbol
# # 🔹 PE Ratio
# print(get.cm_eod_pe_ratio("17-10-25")) # PE ratios for date (yy format)
# # 🔹 Market Cap
# print(get.cm_eod_mcap("17-10-25")) # Market cap for date (yy format)
# # 🔹 Equity Name Change
# print(get.cm_eod_eq_name_change()) # Latest name changes
# # 🔹 Equity Symbol Change
# print(get.cm_eod_eq_symbol_change()) # Latest symbol changes
# # 🔹 Historical Security Data
# print(get.cm_hist_security_wise_data("RELIANCE")) # 1Y data for symbol
# print(get.cm_hist_security_wise_data("RELIANCE", "2Y")) # 1Y for symbol 1D, 1W, 1M, 3M, 6M, 1Y
# print(get.cm_hist_security_wise_data("RELIANCE", "01-10-2025", "17-10-2025")) # Date range for symbol
# # 🔹 Historical Bulk Deals
# print(get.cm_hist_bulk_deals()) # today date data for all symbol
# print(get.cm_hist_bulk_deals("1W")) # 1D, 1W, 1M, 3M, 6M, 1Y
# print(get.cm_hist_bulk_deals("01-10-2025")) # From Date given auto To date (today Date)
# print(get.cm_hist_bulk_deals("15-10-2025", "17-10-2025")) # Date range
# print(get.cm_hist_bulk_deals("RELIANCE")) # Bulk deals for symbol
# print(get.cm_hist_bulk_deals("DSSL", "1Y")) # 1Y for symbol 1D, 1W, 1M, 3M, 6M, 1Y
# print(get.cm_hist_bulk_deals("DSSL", "01-10-2025")) # From Date given auto To date (today Date) for symbol
# print(get.cm_hist_bulk_deals("DSSL", "01-10-2025", "17-10-2025")) # Date range for symbol
# # 🔹 Historical Block Deals
# print(get.cm_hist_block_deals()) # today date data for all symbol
# print(get.cm_hist_block_deals("1W")) # 1D, 1W, 1M, 3M, 6M, 1Y
# print(get.cm_hist_block_deals("01-10-2025")) # From Date given auto To date (today Date)
# print(get.cm_hist_block_deals("15-10-2025", "17-10-2025")) # Date range
# print(get.cm_hist_block_deals("RELIANCE")) # Bulk deals for symbol
# print(get.cm_hist_block_deals("DSSL", "1Y")) # 1Y for symbol 1D, 1W, 1M, 3M, 6M, 1Y
# print(get.cm_hist_block_deals("DSSL", "01-10-2025")) # From Date given auto To date (today Date) for symbol
# print(get.cm_hist_block_deals("DSSL", "01-10-2025", "17-10-2025")) # Date range for symbol
# # 🔹 Historical Short Selling
# print(get.cm_hist_short_selling()) # today date data for all symbol
# print(get.cm_hist_short_selling("1W")) # 1D, 1W, 1M, 3M, 6M, 1Y
# print(get.cm_hist_short_selling("01-10-2025")) # From Date given auto To date (today Date)
# print(get.cm_hist_short_selling("15-10-2025", "17-10-2025")) # Date range
# print(get.cm_hist_short_selling("RELIANCE")) # Bulk deals for symbol
# print(get.cm_hist_short_selling("DSSL", "1Y")) # 1Y for symbol 1D, 1W, 1M, 3M, 6M, 1Y
# print(get.cm_hist_short_selling("DSSL", "01-10-2025")) # From Date given auto To date (today Date) for symbol
# print(get.cm_hist_short_selling("DSSL", "01-10-2025", "17-10-2025")) # Date range for symbol
# # 🔹 Business Growth Data
# print(get.cm_dmy_biz_growth()) # Current month daily
# print(get.cm_dmy_biz_growth("monthly")) # Current FY monthly
# print(get.cm_dmy_biz_growth("yearly")) # All yearly
# print(get.cm_dmy_biz_growth("daily", "OCT", 2025)) # Oct 2025 daily
# print(get.cm_dmy_biz_growth("monthly", 2025)) # FY 2025 monthly
# # 🔹 Monthly Settlement Report
# print(get.cm_monthly_settlement_report()) # Current FY
# print(get.cm_monthly_settlement_report("1Y")) # Last 1 FY
# print(get.cm_monthly_settlement_report("2024", 2026)) # FY 2024-25 to 2025-26
# print(get.cm_monthly_settlement_report("3Y")) # Last 3 FYs
# # 🔹 Monthly Most Active Equity
# print(get.cm_monthly_most_active_equity()) # Latest monthly most active
# # 🔹 Advances/Declines
# print(get.historical_advances_decline()) # Previous month (Month_wise)
# print(get.historical_advances_decline("2025")) # 2025 Month_wise
# print(get.historical_advances_decline("Day_wise", "OCT", 2025)) # Oct 2025 Day_wise
# print(get.historical_advances_decline("Month_wise", 2024)) # 2024 Month_wise
# #---------------------------------------------------------- FnO EOD Data ----------------------------------------------------------
# # 🔹 F&O Bhavcopy
# print(get.fno_eod_bhav_copy("16-02-2026")) # F&O bhavcopy for a specific trade date (DD-MM-YYYY)
# # 🔹 FII Stats
# print(get.fno_eod_fii_stats("17-10-2025")) # FII statistics for a specific trade date (DD-MM-YYYY)
# # 🔹 Top 10 Futures
# print(get.fno_eod_top10_fut("17-10-2025")) # Top 10 futures contracts (DD-MM-YYYY)
# # 🔹 Top 20 Options
# print(get.fno_eod_top20_opt("17-10-2025")) # Top 20 options contracts (DD-MM-YYYY)
# # 🔹 Security Ban
# print(get.fno_eod_sec_ban("17-10-2025")) # Securities in ban period (DD-MM-YYYY)
# # 🔹 MWPL (Market Wide Position Limit)
# print(get.fno_eod_mwpl_3("17-10-2025")) # MWPL data for a specific trade date (DD-MM-YYYY)
# # 🔹 Combined Open Interest
# print(get.fno_eod_combine_oi("17-10-2025")) # Combined OI data (DD-MM-YYYY)
# # 🔹 Participant-Wise Open Interest
# print(get.fno_eod_participant_wise_oi("17-10-2025")) # Participant-wise OI data (DD-MM-YYYY)
# # 🔹 Participant-Wise Volume
# print(get.fno_eod_participant_wise_vol("17-10-2025")) # Participant-wise volume data (DD-MM-YYYY)
# # 🔹 Historical Futures
# print(get.future_price_volume_data("NIFTY", "Index", "OCT-25", "01-10-2025", "17-10-2025"))
# print(get.future_price_volume_data("ITC", "Stock Futures", "OCT-25", "04-10-2025"))
# print(get.future_price_volume_data("BANKNIFTY", "Index Futures", "3M"))
# print(get.future_price_volume_data("NIFTY", "Index Futures", "NOV-24"))
# # 🔹 Historical Options
# print(get.option_price_volume_data("NIFTY", "Index", "01-10-2025", "17-10-2025", expiry= "20-10-2025"))
# print(get.option_price_volume_data("TCS", "Stock Options","3000","CE", "01-02-2026", "06-02-2026", expiry= "24-02-2026"))
# print(get.option_price_volume_data("BANKNIFTY", "Index Options","47000", "01-10-2025", "17-10-2025", expiry= "28-10-2025"))
# print(get.option_price_volume_data("ITC", "Stock Options", "04-10-2025", expiry= "28-10-2025"))
# print(get.option_price_volume_data("BANKNIFTY", "Index Options", "3M"))
# print(get.option_price_volume_data("NIFTY", "Index Options","PE", "01-10-2025", expiry= "28-10-2025"))
# # 🔹 F&O Lot Size
# print(get.fno_eom_lot_size()) # Latest F&O lot sizes
# print(get.fno_eom_lot_size("TCS")) # F&O lot sizes for symbol
# # 🔹 DMY Business Growth
# print(get.fno_dmy_biz_growth()) # Monthly F&O business growth (default: current year)
# print(get.fno_dmy_biz_growth("yearly")) # Yearly F&O data
# print(get.fno_dmy_biz_growth("daily", month="OCT", year=2025)) # Daily F&O data for specific month/year
# # 🔹 Monthly Settlement Report
# print(get.fno_monthly_settlement_report()) # Current FY F&O settlement stats
# print(get.fno_monthly_settlement_report("2024", "2025")) # Specific FY range
# print(get.fno_monthly_settlement_report("2Y")) # Last 2 FYs
# #---------------------------------------------------------- SEBI Data ----------------------------------------------------------
# # 🔹 SEBI Circulars
# print(get.sebi_circulars()) # Default: last 1 week
# print(get.sebi_circulars("01-10-2025", "10-10-2025")) # Specific date range (DD-MM-YYYY)
# print(get.sebi_circulars("01-10-2025")) # From date to today
# print(get.sebi_circulars("1M")) # 1W, 2W, 3W, 1M, 2M, 3M, 6M, 1Y , 2Y
# # 🔹 SEBI Data (Paged Circulars)
# print(get.sebi_data()) # Fetch latest SEBI circulars (default: 1 page)
# #---------------------------------------------------------- Money control ----------------------------------------------------------
# # 🔹 Advances/Declines data
# print(mc.fetch_adv_dec("NIFTY 50")) # Advances/Declines data
# print(mc.fetch_adv_dec("NIFTY 500")) # Advances/Declines data
# #---------------------------------------------------------- CSV save ----------------------------------------------------------
# import NseKit
# get = NseKit.Nse()
# # # 🔹 Fetch Historical Index Data (OHLC + Turnover)
# # print(get.index_historical_data("NIFTY50 USD", "01-01-2025", "17-10-2025"))
# # print(get.index_historical_data("NIFTY50 USD", "01-12-2025")) # Auto today date as "To date"
# # print(get.index_historical_data("NIFTY50 USD", "2Y")) # Last 1 Week '1D','1W','1M','3M','6M','1Y','2Y','5Y','10Y','YTD','MAX'
# data = get.index_historical_data("NIFTY50 USD", "1W")
# print(data.tail())
# # Save to CSV
# data.to_csv("Data.csv", index=True)
# print("CSV file saved successfully.")- Python 3.13+
MIT License