Expectancy - futures io
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Expectancy

Expectancy = (Probability of Win * Average Win) – (Probability of Loss * Average Loss)

As an example let’s say that a trader has a system that produces winning trades 30% of the time. That trader’s average winning trade nets 10% while losing trades lose 3%. So if he were trading $10,000 positions his expectancy would be:
(0.3 * $1,000) – (0.7 * $300) = $90
So even though that system produces losing trades 70% of the time the expectancy is still positive and thus the trader can make money over time. You can also see how you could have a system that produces winning trades the majority of the time but would have a negative expectancy if the average loss was larger than the average win:
(0.6 * $400) – (0.4 * $650) = -$20


Contents


[top]Stub
This article is a stub. Please edit the article to improve it and add additional details.
[top]Links
Link to Van Tharps introductory discussion of expectancy, where the concept of including the individual trade risk ('R') of each trade is introduced as a way of turning expectancy into a risk adjusted return metric comparable across systems.

http://www.iitm.com/sm-Expectancy.htm

Alternative calculation involves using 'average losing trade' as the denominator, which is usually easier to calculate, for a quick measure of risk adjusted returns.
[top]See Also
In mathematical and probability terms, this concept is known as "Expected Value" (EV).

https://en.wikipedia.org/wiki/Expected_value
[top]References

There are not currently any references cited in the article.

Contributors:  mikusha ,  Big Mike 
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