Hi Libitum,
Sorry for not getting back sooner; it is Ramadan out here in the Sandbox and I got busy on some other stuff.
Quote from libitum:
Great! Thanks for the answers!
I am new to trading and I am trying to decide in which market to focus. Spot forex seems to be the easiest (lots of brokers, minimal requirements, low spreads, free trading software), however there is a lot of economic theory about perfect markets that makes me wary of forex. On top of that, I dont see around many prop firms specializing in currency trading.
All I can tell you is the vast (really vast) number of successful Hedge Funds/CTAs all include foreign exchange in their trading profile and dealing in size almost forces this choice.
You know your numbers better than I do so if your numbers look good in a market then IMO if your size permits I would be tempted to include it.
Quote from libitum:
My background is computational mathematics and my main problem is not that backtesting does not give positive expectation. My problem is that the positive expectation can be due to overfitting, and only through lengthy live trading I will know if my methods work or not (Ive been live in fx just over a month, or about 100 trades, too little to know).
Again take my comments with a grain of salt since I donât know your particular situation/method etc but in my experience there is less back testing issues with over fitting than there are with underestimating trading costs. If you are a math type of guy there are mathematical techniques both in text books and some proprietary that can be used to get a good idea about over fitting which makes it more or less a âsolvedâ problem.
And best of all even if you donât know any math the market it self will give you a big hint about over fitting usually before you burn through your bankroll.
And even if you are âover fitâ if you diversify enough you can âballparkâ it away so it is not an unbeatable monster. However if you don't have the assets to diversify across markets/time bucket/signal flag/risk budgeting etc then it is really freaking dangerous.
IMO trading costs are the million dollar question in testing. Also every one of us has a âspecialâ proprietary way of estimating their impact but no one I know yet has a closed form solution.
What really bugs me about it is just when I think I have an algorithm solution the goal posts shift.
Quote from libitum:
From your answers i understand that fx is tradeable (and not a scam where the only winners are the brokers, as many forums say, based on perfect market theory as I already mentioned). Btw, other traders input is also welcome.
As I said above just about everyone I know trades FX in their profile.
Quote from libitum:
I have another question (if I may): What are acceptable max drawdowns from real in-production strategies? Is the maximum acceptable days, or weeks, or months or years before reaching the next Equity peak? (eg. when do I know that my algo needs to go back to drawing board?)
Completely depends on your own risk profile and if you are trading other peopleâs money it depends on their risk profile.
Quote from libitum:
And to make the question fit into the thread topic... What is the max drawdown (in ROI, and time) before the hedge fund pulls out the money from the traders account?
This depends on how the trader/hedge funds trading profile fits in with the other traders/hedge funds that make with the overall alternative investments portfolio of the hedge fund/asset allocator.
For example I have personally seen a guy in a 60% drawdown (who did come all the way back and lots more) kept open due to the âfitâ of his profile and have seen other guys shut down in small double digit drawdowns (these are not stat arb profiles but outright direction).
Individual asset allocators each have their own risk profile/expectations but to get a broad overview is easy since the information is public.
Just look at the return curve for the individual hedge fund/CTAs that make up whatever hedge fund sector your profile falls into.
For Example if it is CTAs just run the numbers on the equity return curve of the CTAs that make up the BTOP 50 index. All that information is public and you can easily do the analysis in excel or one of the hundreds of other quant software packages.
That tells you exactly what kind of profile has attracted the asset allocators money so all the answers to your questions are right there in front of you.
If you can produce the same risk/return profile as the public return curves of the top 20 guys measured in assets under management of the âwhatever is your styleâ profile and do it with size then you are at least through the door and now fighting in the same league.
Now the catch 22: The final step is you have to pass due diligence AND THEN be able to convince an asset allocator that your profile is replicable into the future with size. Do that and welcome to the pot of gold at the end of the trading rainbow.
Asset allocators like record executives dream of the finding the Beatles and not being fooled by another one hit wonder that after a record year exits the business with a big kaboom.
Just my two dirhams worth!
Good luck,
Warmest Regards, Smoker