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NIFTY 500 companies are disaggregated into 72 industry indices. [3] Industry weights in the index reflect industry weights in the market. For example, if the banking sector has a 5% weight in the universe of stocks traded on the NSE, banking stocks in the index would also have an approximate representation of 5% in the index. [4]
The NIFTY 50 index covers 13 sectors of the Indian economy and offers investment managers exposure to the Indian market in one portfolio. As of July 2024, NIFTY 50 gives a weightage of 32.76% to financial services including banking , 13.76% to information technology , 12.12% to oil and gas , 8.46% to consumer goods , and 8.22% to automotive .
Chart of S&P BSE SENSEX monthly data from January 1991 to May 2013. The following is a timeline on the rise of the SENSEX through Indian stock market history. 1000, 25 July 1990 – On 25 July 1990, the SENSEX touched the four-digit figure for the first time and closed at 1,001 in the wake of a good monsoon and excellent corporate results.
Indian shares were lower for a second straight session on Monday amid volatile trading as investors took a breather after an eight-day rally, although the main indexes were off their session lows ...
Large companies not ordered by any nation or type of business: MSCI World (Developed, large-cap stocks only); MSCI ACWI Index (Developed and EM, all cap stocks); S&P Global 100
A bull market is the opposite of a bear market and occurs when asset prices rise significantly over a long period of time, commonly defined as a 20% or more increase from their most recent low. A ...
The National Stock Exchange of India Limited (NSE) commenced trading in derivatives with the launch of index futures on 12 June 2000. The futures and options segment of NSE has made a global mark. In the Futures and Options segment, trading in the NIFTY 50 Index, NIFTY IT index, NIFTY Bank Index, NIFTY Next 50 index, and single stock futures ...
The speed that market data is distributed can become critical when trading systems are based on analyzing the data before others are able to, such as in high-frequency trading. [2] Market price data is not only used in real-time to make on-the-spot decisions about buying or selling, but historical market data can also be used to project pricing ...