Oy. This puzzle caught me. Three hours later.........
Here's an example of what I mean by "things change." Martingales really only work if your wins and losses are about the same size. (Doesn't work to take a bunch of big losses and then your win is only $1 -- even with large size that doesn't pay back all the losses.) So I took a system that normally runs around 80% wins, but the W:L ratio is small. Martingale didn't work. So I modified it to have W:L closer to 1. Win% dropped to about 50%. Without the Martingale it looked like this:
woMart.gif
Then I turned on the Martingale:
wMart.gif
The equity curve looks awesome, as long as you don't look at the soul-eating equity spikes. You end this test with $4500 profit, much better than the $800 profit without the Martingale. But that assumes you didn't go broke when it took 7 losses in a row and traded 128x normal size. AND that 128x trade was right in the middle of a string of 3 losses 1 win, 3 losses 1 win, 7 losses 1 win, 6 losses 1 win, etc. If the single win on either side of the 7-loss streak turned into a loss, you'd have had 12 or even *15* losses in a row. I don't think anybody would survive a 2^15 = 32768x loss...
So that's all Martingale 101. You knew that already. The interesting point is to compare the two equity curves. You want the Martingale to help prevent losses like in the early 2011 period. But actually that's **exactly** when
the market character changed, which is WHY the original system took losses there. So that's exactly where the Martingale gets murdered. That's the danger of building a Martingale on past data -- you never know if the market will change and invalidate the assumptions you built the Martingale on.
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So, that said...
Your idea is interesting. True, how many times can it bounce between A and B without hitting the TP on one side or another? It may do it enough times to break you, but maybe not with the reduced growth factor you're using. Observations:
* Your losses are bigger than your wins (W:L = 75:100 if I understand right), which is usually not a good idea for a Martingale. But I think you don't take a full-size loss until you hit a TP, so that may not be a problem.
* Normally you use a 2x multiplier to make back what you lost: lose 1, bet 2 to get it back and win 1. Lose 1, lose 2, lose 4, lose 8, bet 16 to get it all back and win 1. You're using a 1.5x multiplier so it seems like you wouldn't dig yourself out of your hole (which is deeper than it would have been without the Martingale) -- but your example shows your profit increasing with the # of cycles?? Again, I assume that's because you only hit the full SL when you hit a TP.
* When the market finally breaks out, all your buys will win and all your sells will lose, or vice versa. So all your sells will take a full 100 pip loss, and all your buys will take a full 75 win. So you have to have at least 100/75 = 1.33x more units on the winning side than on the losing side. With a 1.5x multiplier I think you do.
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One big problem with Martingales is that you take huge risks to make small profits. In the standard 2x example I gave above, you take huge risks to make a final profit of 1. No problem if you have unlimited funds and can survive any losing streak, but big problem if you can't. But your approach is harder to figure out.
(Looong pause while I try to figure this out, give up, and knock out a spreadsheet to do the heavy lifting.)
OK, I'm back. This table shows the result of using your setup -- 70pip TP, 100pip SL, 1.5 multiplier -- and taking N losses before finally taking a win. (Actually it's adding on N positions before finally hitting a TP and exiting everything.) The two cases correspond to "exiting in the direction you started" (even number of losses) and "exiting in the other direction" (odd number of losses). Add up all the W/L in all the positions you hold and you have the net profit in pips -- which is shown in the green boxes. Those values are the
final profits. I didn't try to figure the mid-trade P/L.
Mart1.5.gif
BTW these numbers don't match yours exactly because you didn't always multiply by 1.5. E.g. you went from 0.1 to 0.3.
The first case is most likely, and the probability drops as you go down the chart. Bottom line, for this example, you end up winning about 55-60 pips per breakout setup, average, for most win% values.
Meanwhile, to earn those 55-60 pips you start taking on some massive risk as you stack up losses. With my example above I hit 7 losses in a row. That would have gotten me up to 17x my original size. Better than 128x, but still pretty hairy. And for all that I got a whopping 98.52 pips.
Many of those positions would cancel out, so your net exposure isn't as bad as your largest position size. At the larger position sizes, you end up with a net position around 60% of the max size. So after 7 losses I'm taking heat on 60% * 17 = 10.2x my original size.
Can you survive that risk? Assuming you can, is it worth the average payback of about 60 pips? Do you have to size your original position so small (in order to survive the occasional losing streak) that the resulting profits just aren't worth the headache?
Not sure. Might be to some, might not be to others.
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So, back to your specific case...
I don't know how you'd choose your buy/sell levels, or how you choose your initial direction, or what your expected win% is, or anything like that. The table above applies to any win%, but the final profit depends on how often you have 0 losses, 1 loss, etc. I've attached the spreadsheet I used to generate that table. You can plug in different TP / SL / win% / multiplier values and see how it works. How well you guess the initial direction, and what % of the time you break out of the trap, are almost irrelevant to the final
average profit. They just change how often you get a string of losses and start taking on those big positions.
Look at those values and decide if the position size you might get stuck with is worth the average profit you get from one of these breakout traps.
Now if you'll excuse me, it's midnight and my brain is about to explode...
Gary
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