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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.
The markets ended in red with Sensex closing on 35,634.95 and Nifty-50 on 10,451.45. On 12 March 2020, the Sensex fell by 2,919.26 points (−8.18%), the worst continuation of the week in the history while Nifty-50 broke down by 868.2 points (−8.30%) amid World Health Organization (WHO) declaring Coronavirus outbreak as "pandemic". [40]
The list of all companies that have been included in the BSE SENSEX from its inception in 1986 are listed below. The base year of SENSEX is 1978–79 with a base value of 100. During the introduction of the SENSEX in 1986, some of the companies included in the base calculation in 1979 were removed and new companies were added.
Those futures exchanges that also offer trading in securities besides trading in futures contracts may be listed both here and in the list of futures exchanges. There are twenty one stock exchanges in the world that have a market capitalization of over US$1 trillion each. They are sometimes referred to as the "$1 Trillion Club".
The market includes various types of products, such as the spot market, futures market, forward market, swap market, and options market. For example, the spot market involves the immediate buying and selling of currencies, while the forward market allows for the buying and selling of currencies at an agreed exchange rate, with the actual ...
Germany’s DAX and France’s CAC rose 0.8% and 1.4% respectively, while London’s FTSE 100 was trading 1.3% higher on the day. US stocks have historically moved higher in the months after ...
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.
The U.S. stock market soared on Wednesday, delivering significant gains in the first day of trading after the presidential election. The Dow Jones Industrial Average rose 3.6%. That performance ...