MovingAverage
Just a retail hack
- Joined
- 23 January 2010
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Fiddling with your position sizing to get acceptable results is just masking an underlying system with mediocre performance.Having increased bets concentrated on a few positions insures when you have a "win" you have a "decent win".
Skate.
Fiddling with your position sizing to get acceptable results is just masking an underlying system with mediocre performance.
It's not a one-liner...you like quoting my past posts so why not look back to the post I made sometime ago to you about system testing and position sizing. I said back then that if you really want to understand a system's performance you need to isolate the impact of position sizing--you discounted me with no reason. I clearly stated back then my opinion on position sizing and the artificial influence it can have on a system's performance. Nothing new here. I'm merely suggesting that if your system isn't performing then to fiddle with your position sizing isn't fixing the problem.@MovingAverage you can't keep misrepresenting what I have said to suit your narrative. This has to stop.
Blurting out one-liners is not educational to anyone
We can both hold a different opinion & neither of us could eventually be right. Expressing why you hold your opinion & why I hold mine helps others to understand the point from different angles.
What if position sizing based on volatility forms part of your strategy?Fiddling with your position sizing to get acceptable results is just masking an underlying system with mediocre performance.
Position sizing is very important—and I’m not advocating one position sizing over another. Yes, position sizing is a crucial part of your strategy and if volatility based techniques work for you then great, but there is a subtle point that I was trying to make with my earlier post. In MY OPINION (it’s important to state that in this thread now) a mechanical system (not your overall strategy) should be tested and evaluated with minimal influence from position sizing. This will give you a much clearer insight into how your system really behaves. I’ll put up some sim results later today to better illustrate the issue.What if position sizing based on volatility forms part of your strategy?
I think radge refers to doing this in his monthly rotational strategy, wether he actually does it or not I’m not sure.
So here is the point I am endeavoring to highlight. The below shows backtests for a system (what the system is makes no difference for this purpose). The first results are for the system using the common positioning sizing technique of a maximum of 20 open positions each position being 5% of the portfolio's value. This technique appears a lot in the backtesting results posted in this thread and is somewhat of a defacto standard here.
The returns below look pretty good don't they--and you'd be forgiven for thinking this is great let's go live with this. Pay close attention to the returns from 2011 to 2021.
View attachment 134510
Well now let's strip out the impact of ever increasing position sizes that is inherent in the ever popular position sizing technique of 20 position each being 5% of the portfolio's value and instead level the playing field by maintaining the same position size over the same 20 or so years. Below are the returns for the same system but using a fixed dollar position size, which in this case is 20 positions each of $5000 ($100,000 starting value) and this remains across the 20 year span. The above results started with $100,000. Guess what...check out the returns from 2011 to 2021...bloody terrible. And this is the point I was making earlier: fiddling with position sizing to get acceptable results is just masking a system with mediocre performance.
View attachment 134511
So a couple of questions:
(a) I assume not an issue where position sizing (as alluded above) is a specific variable in the strategy; and
(b) The results above (the fixed position size) rather looks like the markets changed, would you agree?
jog on
duc
1. No idea what you mean by point a). Position sizing is what it is—an input to the system. Depending on your definition of variable, my sims show both scenarios—first as a variable and the second where it is not a variable. As for b) you do not need my sim results to come to that conclusion—just look at my earlier chart of XAO and my comments that some aspects and dynamics of the current market resemble our market post the 2008 GFC.
2. In any event, the market is always changing day-to-day, week-to-week, month-to-month, year-to-year and so on so on.
I'm not sure I agree with you. Haha! That's not surprising, right!So here is the point I am endeavoring to highlight. The below shows backtests for a system (what the system is makes no difference for this purpose). The first results are for the system using the common positioning sizing technique of a maximum of 20 open positions each position being 5% of the portfolio's value. This technique appears a lot in the backtesting results posted in this thread and is somewhat of a defacto standard here.
The returns below look pretty good don't they--and you'd be forgiven for thinking this is great let's go live with this. Pay close attention to the returns from 2011 to 2021.
View attachment 134510
Well now let's strip out the impact of ever increasing position sizes that is inherent in the ever popular position sizing technique of 20 position each being 5% of the portfolio's value and instead level the playing field by maintaining the same position size over the same 20 or so years. Below are the returns for the same system but using a fixed dollar position size, which in this case is 20 positions each of $5000 ($100,000 starting value) and this remains across the 20 year span. The above results started with $100,000. Guess what...check out the returns from 2011 to 2021...bloody terrible. And this is the point I was making earlier: fiddling with position sizing to get acceptable results is just masking a system with mediocre performance.
View attachment 134511
1. Well that's not exactly what you said:
"The above results started with $100,000. Guess what...check out the returns from 2011 to 2021...bloody terrible. And this is the point I was making earlier: fiddling with position sizing to get acceptable results is just masking a system with mediocre performance."
If position size as an input is a variable that is actively chosen, specifically to improve performance, then that is different to simply masking poor performance through ignorance and error of what you are doing.
Again, I don’t really understand your point. Can you give me an explicit example or two of what forces you are referring to. The reality is that the charts of the current market suggest we have been here before—yes I know you’re not referring to charts. If these forces you speak of are external then I have no idea or interest to understand those because they manifest themselves in the charts. As I said before, markets are changing all the time, but are we in a period that is radically different to the past—nope I don’t think so. Not prepared to draw any conclusions on market dynamics from my sim results other than to say yes pre ‘11 and post ‘11 are different, but again that is very obvious from my earlier post on XAO1. Well that's not exactly what you said:
"The above results started with $100,000. Guess what...check out the returns from 2011 to 2021...bloody terrible. And this is the point I was making earlier: fiddling with position sizing to get acceptable results is just masking a system with mediocre performance."
2. So 'change' in markets (obviously) needs a definition. Fluctuations, which you are (seemingly) referring to, are not the definition of 'change' that others are using or possibly only myself.
When we (or I) talk about 'change', we are talking about forces within the markets that drive the secular trends as opposed to simple volatility.
On that basis, would you agree that the market appeared to 'change' in 2011 using your backtest as an example?
jog on
duc
I agree with you and what you say is right. But my point is all about understanding your system’s behaviour without external influences. Again IN MY OPINION when you’re initially building, evaluating or refining your system I’m just suggesting it be done without the influence of position sizing. By all means factor in position size but that should be done after you’ve settled you’re initial system using fixed position sizing. You can then get a better understand of how much of your strategy’s performance can be put down to the system per se and how much to position sizing. Here’s is a crude example…imagine someone starting live trading that system I posted results for and they started in 2019…do you reckon they would really have any chance of even getting double digit returns for that year?I'm not sure I agree with you. Haha! That's not surprising, right!
Isn't this just simple maths? Simple vs compounding rate of return.
Let's say your account size started with $100,000. Well $5,000 position size is obviously 5% of your accounts capital. However, the larger your capital grows (which is the goal over time) the lower the percentage of your account balance each $5,000 position size will be, and therefore each realised profit or loss will have a lesser effect on the growing capital base over time.
Why bother backtesting with a position sizing model that does not compound realised profits? This does not make sense to me.
I clearly stated back then my opinion on position sizing and the artificial influence it can have on a system's performance.
In MY OPINION (it’s important to state that in this thread now) a mechanical system (not your overall strategy) should be tested and evaluated with minimal influence from position sizing. This will give you a much clearer insight into how your system really behaves. I’ll put up some sim results later today to better illustrate the issue.
The first results are for the system using the common positioning sizing technique of a maximum of 20 open positions each position being 5% of the portfolio's value.
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