CanOz
Home runs feel good, but base hits pay bills!
- Joined
- 11 July 2006
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- 519
/* Clean up database*/
/*there are the string functions to help with these
run the explore, save all to a watchlist then in Assignment Organizer
delete them
example*/
Filter= StrRight(Name(),3)==".AX" OR StrLen(Name())>4;
AddTextColumn(Name(),"name");
I use the above code to clean out any symbols that are longer than than 4 letters.
I use two ASX databases.
Adjusted EOD data I get from Premium Data which assigns the data to the various watchlists automatically at the end of day when updating.
The second database is unadjusted data that includes warrants and options and is intra day. I use the above code to clean it up. The data originally was sourced from Yahoo, and the code was designed to get rid of the .AX extension.
I have just ordered the Quantitive Trading Systems book myself and am interested in your comments. I've had AB for some years now, however, my programming skills are still pretty rough.
Anyway, came across this thread by accident and am finding it an interesting read. Keep up the good work guys.
Cheers
IJW
TBH, I think he's spot on. A few unadjusted splits/dirty data could easily blow up an otherwise good backtest.Sheesh Bandy is real fussy about data!
Shorter term systems work, but I think they have to be a bit less mechanical lest they underperform longer systems.
Anyone else coming up anything different?
Nope, I concur this. My testing suggests that when talking about really short term ie. out to about 5 days, but could be as short as buy today, sell tomorrow, based on EOD signals, you can get up to a few percent annualised. Hardly staggering, although as Nick pointed out, the exposure factor is also very low...sometimes you're in the market just 1-2% of the time. The opportunity factor of the system can be increased by exposing it to more markets.
Although it seems you can only crank up the 'heat' factor so much as it appears that it is inherent in these systems that every so often you get a big multi-R loss. Makes sense when you think about it. A gap down through your stop loss and your ability to control and limit loss to 1xR is smashed. If you had 1R set at 2% of your account and you had concurrent exposure to 10 markets and you were suddenly hit with 10 x 2R losses, you'd experience a drawdown of 40%. The recovery factor of these systems is relatively low, so you'd be taking a while to bounce back from that one.
Not really. Stock distributions of returns are leptokurtic i.e. they have fat tails. This means Black Swans happen more often than you would think.ASX.G.
You'd be very unlucky for that to happen.
When a stock opens below your stop thats what you call a black swan event, its supposed to be rare.
You'd be very unlucky for that to happen.
When a stock opens below your stop thats what you call a black swan event, its supposed to be rare.
And 40% Max.DD is acceptable to some people. William Eckhardt's $250million fund has 40%ish max.DD and he makes around 28% annualised. A fair effort.
Understanding Highly Improbable Events
from The TradeKing Blog
Over on the EconTalk blog, Russ Roberts interviews Nassim Nicholas Taleb, author of the recently published The Black Swan as well as the best-selling Fooled By Randomness. As Taleb points out over the course of a one-hour conversation, traders need to be able to cope with uncertainty and understand the underlying probability of events actually happening. Using a metaphor involving Mediocristan (a place where nothing much out of the ordinary occurs) and Extremistan (a place where highly improbable events are a fact of life), Taleb outlines the impact that outlier events (i.e. Black Swans) often have on final outcomes:
“Nassim Taleb talks about the challenges of coping with uncertainty, predicting events, and understanding history. This wide-ranging conversation looks at investment, health, history and other areas where data play a key role. Taleb, the author of Fooled By Randomness and The Black Swan, imagines two countries, Mediocristan and Extremistan where the ability to understand the past and predict the future is radically different.
In Mediocristan, events are generated by a underlying random process that is normally distributed. These events are often physical and observable and they tend to cluster around the middle. Most people are near the average height and no adult is more than nine feet tall.
But in Extremistan, the right-hand tail of events is thick and long and the outlier, the seemingly wildly unlikely event is more common than our experience with Mediocristan would indicate. Bill Gates is more than a little wealthier than the average. The civil war in Lebabon or the events of 9/11 were more worse than just a typical bad day in the Beirut or New York City.
Taleb's contention is that we often bring our intuition from Mediocristan for the events of Extremistan, leading us to error. The result is a tendency to be blind-sided by the unexpected.”
I would tend to concur with both Wayne and Asxg
I have found it difficult to make any form of meaningful return.
Applying an EOD trend following system to 1-min data to increase trade frequency is one example.
Below are a couple of patterns that may be of interest or an idea for a system.
But hey, thats a weekly right. We're looking for that pattern on a daily...but thats not to say that it wouldn't work, maybe a longer term...food for thought.
Cheers,
For a pure mechanical system, and REALLY LARGE accounts, I think I agree.This what i have maintained the WHOLE TIME.
But everyone was like, nah thats been done with techtrader and focussed on short term systems.
So whats it gonna be? Short term or longer term.
My personal interest is on longer term systems -- i think they outperform short term systems, at least for stocks. Im my opinion.
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