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It is based on market capitalisation. Weighting of shares is conducted in proportion to the issued ordinary capital of the listed companies, valued at current market price (i.e. market capitalisation). The base year is 1985, and the base value of the index is 100. This is the longest and the broadest measure of the Sri Lankan Stock market.
The S&P SL20, or the Standard & Poor's Sri Lanka 20, is a stock market index, based on market capitalization, that follows the performance of 20 leading publicly traded companies listed in the Colombo Stock Exchange.
The idea is do a regular exponential moving average (EMA) calculation but on a de-lagged data instead of doing it on the regular data. Data is de-lagged by removing the data from "lag" days ago thus removing (or attempting to) the cumulative effect of the moving average.
The Sri Lankan Rupee (Sinhala: රුපියල්, Tamil: ரூபாய்; symbol: රු (plural) in English, රු in Sinhala, ௹ in Tamil; ISO code: LKR) is the currency of Sri Lanka. It is subdivided into 100 cents ( Sinhala : සත , Tamil : சதம் ), but cents are rarely seen in circulation due to their low value.
The Milanka Price Index was one of the principal stock indices of the Colombo Stock Exchange in Sri Lanka till it was discontinued in January 2013 further to introduction of Standard & Poor's Sri Lanka 20 index.
The CSE trades 296 companies representing 20 business sectors, as of 25 January 2021, with a combined market capitalization of 3,699 billion Sri Lankan rupees. [1] On 1 September 2021, turnover surpassed 14 billion and the All Share Price Index (ASPI) surpassed 9000 points for the first time when it closed at a record high of 9,163.13 points.
The Double Exponential Moving Average (DEMA) indicator was introduced in January 1994 by Patrick G. Mulloy, in an article in the "Technical Analysis of Stocks & Commodities" magazine: "Smoothing Data with Faster Moving Averages" [1] [2] It attempts to remove the inherent lag associated with Moving Averages by placing more weight on recent values.
The Triple Exponential Moving Average (TEMA) is a technical indicator in technical analysis that attempts to remove the inherent lag associated with moving averages by placing more weight on recent values. The name suggests this is achieved by applying a triple exponential smoothing which is not the case.