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Days on market (DOM, alternatively active days on market, market time, or time on market) is a measurement of the age of a real estate listing. The statistic is defined as the total number of days the listing is on the active market before either an offer is accepted or the agreement between real estate broker and seller ends.
This convention accounts for days in the period based on the portion in a leap year and the portion in a non-leap year. The days in the numerators are calculated on a Julian day difference basis. In this convention the first day of the period is included and the last day is excluded. The CouponFactor uses the same formula, replacing Date2 by Date3.
A Market Profile is an intra-day charting technique (price vertical, time/activity horizontal) devised by J. Peter Steidlmayer, a trader at the Chicago Board of Trade (CBOT), ca 1959-1985. Steidlmayer was seeking a way to determine and to evaluate market value as it developed in the day time frame. The concept was to display price on a vertical ...
The basic approach of nearly all of the methods to calculate the day of the week begins by starting from an "anchor date": a known pair (such as 1 January 1800 as a Wednesday), determining the number of days between the known day and the day that you are trying to determine, and using arithmetic modulo 7 to find a new numerical day of the week.
The second market model assumes that the market only has finitely many possible changes, drawn from a risk factor return sample of a defined historical period. Typically one performs a historical simulation by sampling from past day-on-day risk factor changes, and applying them to the current level of the risk factors to obtain risk factor ...
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Combining the two enables the page headers to show any fixed or movable festival observed on the day, and whether it is a bank holiday. The algorithm utilises the integral or floor function: thus ⌊ ⌋ is that part of the number x which lies to the left of the decimal point. It is only necessary to work through the complete function when ...
To calculate +DI and -DI, one needs price data consisting of high, low, and closing prices each period (typically each day). One first calculates the directional movement (+DM and -DM): UpMove = today's high − yesterday's high DownMove = yesterday's low − today's low if UpMove > DownMove and UpMove > 0, then +DM = UpMove, else +DM = 0