With the extremes set, we should now take a look at the range in between these two. A little more explanation is in order to understand the following charts a little better. When I refer to a 75% entry, here is what I mean. Lets say that an impending tide turn is imminent (for instance this coming monday) such that the trade called for is to close out a long position and reverse to a short position. Also, lets assume that the snp ES range for monday is a low of 1,060 and a high of 1,073. A 75% exit long and entry short then would be 75% of the difference between the high and low, and since we are looking for a long exit/short entry, we want: (1,073-1,060)x.75 plus 1,060. If I have done the math correctly, this translates to a price of 1,069.75. So this price of 1,069.75 then represents a 75% entry/exit for this day.
Similarly, if monday were instead a tide low date (short going into that day) and the price range were the same, a 75% exit/entry to exit short and enter long would then be: 1,073-((1,073-1,060)x.75) or 1,063.25. Pretty simple concept.
Now, lets look at some equity charts with varying degrees of success with average exits and entrys. Below are 3 charts illustrating the results.
At the top of each chart in the title block the entry/exit assumption is shown. Below is a chart with all the charts combined.
The heavy white line has been drawn to show a 100% return on investment, on in this case, starting with a $25,000 account and have it grow by $25,000 annually. Apparently, to realize this type of account growth, the average entry and exit would need to be in the 65% to 70% range based on backtesting data for nearly a four year span. At some point, I would like to go further in the past with backtesting. Again, this return is based on trading one ES contract and has no consideration for drawdowns, which if you are a trader, you would know how those can affect a trader's ability to stay in a losing trade. More on this later.