From 1f13a8b91d28d5f25579b2010e9b4246bece4a90 Mon Sep 17 00:00:00 2001 From: Victor Silva <37382997+silvavn@users.noreply.github.com> Date: Thu, 3 Sep 2020 12:55:49 -0600 Subject: [PATCH] Update docs/edge.md Co-authored-by: Matthias --- docs/edge.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/edge.md b/docs/edge.md index 8c8b230c9..a5df45901 100644 --- a/docs/edge.md +++ b/docs/edge.md @@ -129,7 +129,7 @@ $$E = R * W - L$$ The expectancy worked out in the example above means that, on average, this strategy' trades will return 1.68 times the size of its losses. Said another way, the strategy makes $1.68 for every $1 it loses, on average. -You canThis is important for two reasons: First, it may seem obvious, but you know right away that you have a positive return. Second, you now have a number you can compare to other candidate systems to make decisions about which ones you employ. +This is important for two reasons: First, it may seem obvious, but you know right away that you have a positive return. Second, you now have a number you can compare to other candidate systems to make decisions about which ones you employ. It is important to remember that any system with an expectancy greater than 0 is profitable using past data. The key is finding one that will be profitable in the future.