I have some stats for you! They are very simple, and still incomplete!
The stats are based on MAE/MFE of the 28 pairs (majors and crosses). I have 121 samples (trades), 42 % are winners, 58% are losers.
I’m using Channel Breakout (with all the rules described in the Smith’s book) and Conqueror (also, same rules). Only difference is that I’m ignoring rejection rule when I have more than 1 trade open (I mean, if I have 1 trade from channel breakout and 1 trade from conqueror, then I do not use the rejection rule).
From MAE, 95 % of winners never have more than 181 pips in floating loss, so one can expect that when a pair floating loss is greater than 181 pips it has a high probability to end as a loser. My average win is 202.82 pips, while the average loss is 104.7 pips, that is roughly 2:1 rvr, that is great. My average trade length is 10 days and the oldest trade is 70 days.
It is known for me that I need at least 300 samples to have statistically valid results, so this information with only 121 samples is still well below the required data. Nevertheless it is encouraging to see that this system is working.