Automated Trader’s proprietary tradability metrics
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Automated Traders proprietary tradability metrics are environmental statistics intended to assist those building trading models/systems in determining which markets and timeframes are most favourably responsive to which generic types of model.
Automated Trader’s proprietary tradability metrics
Trend Alphability
The Alphability stats for determining the ‘trend friendliness’ of markets shown here are based upon determining the amount of noise around a hypothetical trend. The simplest variant of Trend Alphability depicted here consists of the R2 (coefficient of determination) of a linear regression line plotted through the data points between the bars on which the low and high of a trading session were made (or the reverse if the high was made first). The calculation is based on the mid point of price bars in a variety of time frames. Multiplying this daily Alphability metric by the high/low range for the day (expressed as a percentage change) gives a ratio of ‘trendiness’ to the maximum available reward. ...
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