Strong Eagle wrote:You can apply a number of statistical constructs to a data series to determine its degree of randomness. Your mobile phone works on this premise... to pull out the non random signal from random noise which is many many times more powerful. The mathematics can be quite hairy... the hardest course I took in college was a digital communications theory class.
As for the stock market, there are a million technical analysis pieces of software out there, all with the same idea that a discovered pattern can be extrapolated into the future. In many cases, the patterns are bogus. The real problem though is that the stock market might react completely differently tomorrow and your pattern would be shot to hell.
For a simple introduction to detecting separating signal from noise, you can look at my old website pages at
http://www.herberts.org/wayne/proj431/projmain.html
and
http://www.herberts.org/wayne/proj431/projres.htm
This was the introductory material to digital communications.
Now, this isn't purely random but it is a case where the noise is statistically uncorrelated with the signal... this filter will not work for a purely random noise signal.
I find your opinion interesting, and not all wrong, T/A does have specific patterns, that can be monitored to minimise risk, not to predict. what will happen tomorrow.As for the stock market, there are a million technical analysis pieces of software out there, all with the same idea that a discovered pattern can be extrapolated into the future. In many cases, the patterns are bogus. The real problem though is that the stock market might react completely differently tomorrow and your pattern would be shot to hell.
Its absolutely correct to say that its impossible to fully characterise the behaviour of a stock market through simple models. The idea that many technical analysis schemes have that the market (ie stock index) somehow captures all the information that everyone used to make their decisions and there must be a way of unlocking that is fundamentally flawed, from a general viewpointStrong Eagle wrote:ksl,
So when people do a Fourier analysis on a stock market data series, all they are seeing is what the market would look like IF all the variables remain the same.
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Yes, I believe this to be an interesting subject for all, that dabble in the stock market, even though there are very many, that don't believe in T/A.mrdodge wrote:Its absolutely correct to say that its impossible to fully characterise the behaviour of a stock market through simple models. The idea that many technical analysis schemes have that the market (ie stock index) somehow captures all the information that everyone used to make their decisions and there must be a way of unlocking that is fundamentally flawed, from a general viewpointStrong Eagle wrote:ksl,
So when people do a Fourier analysis on a stock market data series, all they are seeing is what the market would look like IF all the variables remain the same.
.
Having said that, there are quite a few useful techniques that can give helpful information when you are trading. The most straightforward is GARCH - Generalized Autoregressive Conditional Heteroskedasticity - probably one of the most well understood stochastic models around. Think of it as a very sophisticated moving average that can give you signals about likely short term movements of stock prices. Google for it if you are interested.
You need a lot of firepower to use these sort of models - not only from the computational and mathematical sense - but using these sort of models for trading is really an arbitrage business if you a doing it long term, so you need a bunch of capital to take real advantage.
Did this sort of thing for while when working for a derivatives trading team in an investment bank. Lots of fun.
Without a doubt! I learn't my lessons the hard way. My wife bare witness to the fact, that I was down a 30 thousand Sing$ dollars, when I cut lose, she thought I was silly, But I'd already pulled data, to cut lose, and I did.mrdodge wrote:One precept that I fully subscribe to is run your winners and cut your losses.
The best traders I know are absolutely ruthless about cutting losing trades. Take it on the chin and move on - staying attached to a losing position only means you'll lose more. While there are always exceptions you can't run a business on them so you have to play the odds.
The other real trick, of course, is to know when to cash out. Running your winner too far invariably turns it into a loser.
Its a combination of experience, courage, market knowledge - traders instinct, I guess. Some have it (not me!) and some don't
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