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Curious to know when you guys build a system, what are the stats you look for ie. returns vs drawdowns etc. What are the minimums and maximums that you would look for to make it a viable system?
Curious to know when you guys build a system, what are the stats you look for ie. returns vs drawdowns etc. What are the minimums and maximums that you would look for to make it a viable system?
Everyone will have a different answer but some of the obvious ones:
expectancy, max win, max loss, avg win, avg loss, win %, avg trade length, max/min excursions.
Then there are things like:
number of signals/trades, correlation with other strategies, capital efficiency etc.
what would be the values though for yourself or your general opinion. ie. for a trend following system, win rate greater than 50%, <20% DD etc
Curious to know when you guys build a system, what are the stats you look for ie. returns vs drawdowns etc. What are the minimums and maximums that you would look for to make it a viable system?
Curious to know when you guys build a system, what are the stats you look for ie. returns vs drawdowns etc. What are the minimums and maximums that you would look for to make it a viable system?
The position size that normalizes risk determines the distribution of profit potential.
All alternative uses of money can be normalized in this manner. Trade the one that has the highest risk-normalized profit potential.
Best regards,
Howard
You might think your trend following system only has a 30% maxDD but then you go and test it against the Nikkei 225 and find out it's 40. Or against the Great Depression and suddenly it's 50.
So what is the point of evaluating stuff in that perspective? There isn't one, at least my...
That is why a system should be tested across a range of market conditions imo. for stocks the tech boom, gfc, bull markets etc so you have a better understanding of what could happen under certain conditions.
Hi GB, and all --
My latest book has details and computer code. You can read a lot of it on the book's webpage:
http://www.quantitativetechnicalanalysis.com/
And using Look Inside on the Amazon page:
http://www.amazon.com/Quantitative-...eywords=bandy+quantitative+technical+analysis
There are several videos of my recent (within the past two years) presentations that show the process in operation. Those from the ATAA, MTA, and IFTA are good places to start:
http://www.screencast.com/t/Vli0B4oJr5
https://www.youtube.com/channel/UCcPOv0K7zMQNOkaMFpou31g
Broadly, dynamic position sizing uses Bayesian Analysis (contrast with frequentist statistical analysis) of recent trading performance to estimate the health of the system.
The flowchart on the cover of the book, and on page 18 of the text (you can download that chapter), show the two systems that together make up a trading operation.
The trading system is on the left. The trading system generates buy and sell signals (but not position size) from processing the price and volume data.
The trading management system is on the right. The trading management system uses dynamic position sizing to analyze recent trades to determine how large a position to take on the next trade. The goal is to increase position size when the system is working well and decrease position size when it is working poorly. When the system is broken, the dynamic position sizing will have reduced the position size to zero before a large portion of the account has been lost.
Best,
Howard
Thanks Howard. I might need to buy it. I wonder if you'd mind posting some screenshots of how a system's equity curve changes with the addition of dynamic position sizing. Just a MA cross or whatever.
And if you wouldn't mind placing a few trades for me over the next 6 mths---that would be helpful.
... and some duck repellent. Just a quick spray around the place would clean things up nicely.
Thanks Howard.
Think about it GB.
Its minimising loss and maximising profit.
Without seeing a curve, you'd expect shallower drawdowns and steeper rises.
Some systems I know of use their equity curve as a filter.
Either turning new trades off at X downturn or exiting the whole lot at Y.
Lots of variations.
Winchester put out a duck repellent.
I think for Howard selling a book, a 'before' and 'after' shot of the equity curve would be a nice selling point to see just how much difference it makes. It looks like implementing dynamic sizing would require one to learn Python, so I'm not going to jump in without seeing the beneifts. If it's a big difference, I'd go ahead. If it's minimal, I wouldn't.
Also, if one's existing equity curves aren't too affected by drawdown, such an approach might even be counterproductive. Those frequent little drawdowns of a smooth equity curve are followed by frequent little gains, and you wouldn't want to reduce position sizing just as it's ready to move back up. You might even want to increase the size during drawdown... but I guess this would also be a possibility of his dynamic approach.
It looks like implementing dynamic sizing would require one to learn Python, so I'm not going to jump in without seeing the beneifts. If it's a big difference, I'd go ahead. If it's minimal, I wouldn't.
GB you are an interesting character. Seems you will go to any lengths not to do extra work or increase your general knowledge. I personally wonder how an approach would work in a field that requires self learning and a broad skill set? just my.
GB you are an interesting character. Seems you will go to any lengths not to do extra work or increase your general knowledge. I personally wonder how an approach would work in a field that requires self learning and a broad skill set? just my.
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