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This issue of Automated Trader marks the launch of a new set of tradability statistics called Alphability. Andy Webb outlines some examples of their construction and their application as tools to expedite the development of automated and algorithmic trading models.

αlphability



Alphability statistics are intended to provide an indication of the relative ease of capturing alpha from specific markets and time frames using generic categories of trading model. The two categories presented here are trend and reversal strategies. (Metrics and a database of matching engine rules for scalping and other ‘order book’ type strategies will be added later.)

In addition to the metrics published in these pages, more comprehensive Alphability statistics, including a larger range of time frames and volatility weighted scores, will shortly be available at www.automatedtrader.net. Automated Trader subscribers will also be able to download historical datasets from there.

 

Why?

The main motivation for introducing Alphability is the growing need among market practitioners to develop more models and to develop them faster. The objective is that Alphability metrics should assist by guiding practitioners towards the optimum marriage of market/time frame characteristics and model type. ...

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