With regard to the scaling, I really think this is a key to this method (at least the way pip-siphon trades it). Pip-siphon himself said somewhere that this is where he makes his most money.
At first, I was looking at scaling situations as “get out as soon as it breaks even” but I found that it usually roars back when it finally does bounce, so by the time I can close the trade I’ve already made some hefty pips. Btw for trades that have been scaled, I’m constantly focused on the Oanda “unrealized P&L” figure to determine when it will return to profit (that way I can see all legs of the trade in a single figure). I’ve noticed that frequently the breakeven is approximately at the point of the last scaled trade entry. So for example, if I am on scale trade #4, then when it retreats back to #3 I’m usually somewhere near breakeven. For scaling, I do try to only scale at resistance areas like pip-siphon teaches.
I’ve pretty much figured out how to gear the units to control the worst-case scenario. What’s difficult for me, though, is the fact that this worst-case-scenario rarely happens. Should I board up my windows to avoid tornadoes because I live in Kansas? Or should I try to find a balance that allows sunshine but responsible protections from the tornado? I can gear the units so that a worse-case-scenario only impacts the account minimally. But doing this restricts the growth somewhat severely. I’d like to find a happy medium.