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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 .
The NIFTY Next 50 and the NIFTY 50 together comprise the NIFTY 100, which represents the top 100 companies trading on the National Stock Exchange of India based on full market capitalisation. The Nifty Next 50 Index represents 50 companies from Nifty 100 after excluding the Nifty 50 companies. [4] The Nifty Next 50 Index represents about 10% of ...
GIFT Nifty set an All-Time High Monthly Turnover of US $100.7 billion for the Month of September 2024. Highest-ever Monthly Turnover of 1,975,468 contracts worth US $100.7 billion (INR 8,43,713 Crs. equivalent) during September 2024 [ 3 ] [ 4 ] GIFT Nifty Sets an All-Time High Open Interest of US $20.84 billion on September 24, 2024.
The Economic Times estimate that the Indian stock market sees a bear market on average once every 3 years, similar to the US market. It uses the Nifty 50 index as a reference point and identifies eight 20% drops in the last 25 years. [57] According to SEBI, during FY 2022–23, 73% of mutual fund units were redeemed within 2 years of investment ...
Represents 50 companies from NIFTY 100 after excluding the NIFTY 50 companies. NIFTY 100: [8] Diversified 100 stock index representing major sectors of the economy. NIFTY 100 represents top 100 companies based on full market capitalization from NIFTY 500. NIFTY 200: [9] Designed to reflect the behavior and performance of large and mid market ...
The long bear market of the 1970s which began with the 1973–74 stock market crash and lasted until 1982 caused valuations of the nifty fifty to fall to low levels along with the rest of the market, with most of these stocks under-performing the broader market averages.
The Gated Three-Tower Transformer (GT3) is a transformer-based model designed to integrate numerical market data with textual information from social sources to enhance the accuracy of stock market predictions. [12] Since NNs require training and can have a large parameter space; it is useful to optimize the network for optimal predictive ability.
38,000, 9 August 2018 - For the first time SENSEX passed the score of 38,000 during intra-day trading, and then closed at 38,024.37. [58] 39,000, 1 April 2019 – The SENSEX on 1 April 2019 crossed the 39,000 mark for the first time during intra-day trading. 2 April 2019 – The SENSEX closed at 39,056.65, for its first close above the 39,000 ...
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