Scientists Develop Financial Turing Test
KentuckyFC writes writes to share a new online test that is being touted as the "financial Turing test." The web-based exercise asks users to distinguish between real and randomly generated financial data. "Various economists argue that the efficiency of a market ought to be clearly evident in the returns it produces. They say that the more efficient it is, the more random its returns will be and a perfect market should be completely random. That would appear to give the lie to the widespread belief that humans are unable to tell the difference between financial market returns and, say, a sequence of coin tosses. However, there is good evidence that financial markets are not random (although they do not appear to be predictable either). Now a group of scientists have developed a financial Turing test to find out whether humans can distinguish real financial data from the same data randomly rearranged. Anybody can take the test and the results indicate that humans are actually rather good at this kind of pattern recognition."
What does that mean?
Is the test where we have to decide whether to install Java?
Because I pass.
* Do you have any money?
- If 'No', please leave.
- If 'Yes', please give me your money.
* Did you give me all your money?
- If 'No', you pass. Please leave.
- If 'Yes', you are a fool. Please Leave.
Based on 2 previews, I failed. Does that mean I am not human?
Various economists argue that the efficiency of a market ought to be clearly evident in the returns it produces.
The market is only efficient within a narrow range of economic activity. When economic activity exceeds the top and bottom ranges you get bubbles and panics - inefficient markets. We see them all the time.
I really wish economists would stop assuming that for any given economic activity, the conditions and their subsequent results can be extrapolated across the board. That's why, whether it's the Chicago school or the Keynesians, they can point to data (a selected portion of economic activity) that supports their view, when in fact all schools of economics is correct in their little slice of economic activity and conditions.
A friend of mine actually came up with this test a few months ago and sent an email around with 8 series to see if people could spot real data from randomised ones (Maybe it got chained on to a wider audience).
The key to the test is that random walks typically don't undergo large jumps or oscillations. In fact, they're generally quite a bit smoother than real data. I see that TFA comes to more or less the same conclusion(I think).
The moral if this story is that 99% of normal probability theory does not easily apply to financial time series data.
May the Maths Be with you!
The test is to distinguish computer-generated graphs from the actual stock prices.
It seems to have very little to do with the actual Turing test.
"markets are not random (although they do not appear to be predictable either)"
Ummmm. Isn't one of the leading definitions of a "random" process that it is
a process which exhibits maximum complexity, and thus is not predictable
except by the execution of the identical process. ?
i.e. "inherently unpredictable by any algorithm simpler than the process itself" = "random"
Where are we going and why are we in a handbasket?
I clicked the link. Instead of a "Financial Turing Test", it looks more like a "Slashdot My Website In Seconds Test".
It could mean that we humans are good distinguishing among different random patterns, but the fact we can do that says nothing about the randomnes of the series.
Dear
Three years ago - see http://www.felixsalmon.com/000763.html
Oh welp. History repeats itself.
:wq ~ ~ ~ ~ ~
Seriously.
Money is more accurately described as a kind of swarm intelligence. The meme of money is the fundamental self replicator. Admittedly the ecology is complex, (dollars, derivatives, bonds, et al.) but the fundamental rules are the same.
Money want to reproduce. We (our collective cultural awareness) are merely hosts for money to exist.
Usually, money is symbiotic, benefiting the host and itself. Occasionally, it turns into a pathology that harms its hosts (i.e. tulip manias, compulsive gambling/banking, stock market crashes).
The delusion here is thinking that we can "control" the economy. The economy (our name for money's ecology), will always, to some degree, be out of control as long as the hosts are relatively free agents. We can garden (i.e. set up nice environments for money to replicate), but direct control is probably a pipe dream). Moreover, money replication isn't free. It takes real environmental resources to create and is therefore limited. Expanding the garden forever isn't an option. Sustaining a nice one probably is.
Please do not read this sig. Thank you.
That's a function of supply and demand. We virile Canadian men don't need Viagra, so that drives down the price.
Support Right To Repair Legislation.
Well, if you look at the graph on the front page it becomes bloody obvious. The real data goes up and down, but does so over longer periods, it jitters but there is a direction to its movement overall. While the fake one goes up and down far to randomly, it simply does not look like a stock market result.
So yes, within this simple example, I could tell just because I know from years of news exposure what a financial graph tends to look like.
But to be honest, I am not sure it means anything. They could just have made the random sample to random. The real turing test is about actually putting some effort in the fake system to make people believe it is real. By this test your would have a turing test program that just reads random words from a dictionary and then ask people if they can spot the difference.
MMO Quests are like orgasms:
You may solo them, I prefer them in a group.
IMHO, a more interesting financial turing test would be to distinguish between human and computer-generated financial advice.
this is what it means; it means that all the crap on the Wall Street is nothing else but genuine *Poker*; and, as the Poker, the *Bank* drives the game and cheats as it wishes; you, the f&%^#$er on the main street just have to play for giving them the money. did someone expected something else?! not me,
A much more interesting question: Is the financial system turing capable? If yes, one could use the financial system to compute stuff.
If I cannot predict a market, do I then, no longer have the right to kill the market? Does this mean that Wall Street is not only by results and facts, but by definition evil?
You mean, "anybody could take the test, before the server got slashdotted!"
I've abandoned my search for truth; now I'm just looking for some useful delusions.
What exactly do you mean by pi not being "predictable"? Pi can be calculated algorithmically to any desired precision, nothing to "predict" there. You can even calculate arbitrary digits without having to calculate the preceding ones. Random means precisely "not predictable". It seems some people here are equating not following a uniform distribution with not being random, which is incorrect.
Generic metformin in is available in the US for $4 for 60 850mg tablets, or less that 7 cents per pill. You example is wrong, but your general point is not -- it is widely known that American pharmaceticals are sold for far less in other countries, even in Canada and Mexico. Basic economics say they should be more expensive elsewhere, due to transportation costs. And of course, the pharma companies due their best to make reimportation of drugs back into the US unlawful.
I've abandoned my search for truth; now I'm just looking for some useful delusions.
Markets aren't rational?
People (especially people that think of themselves as being "smart") are prone to self-delusion?
But seriously, why would anyone hold on to the myth that markets are rational given the experimental findings of behavioral economics.
Oh that's right, it's the new religion to to keep the plebes down. Now excuse me, I have to cash my 30 million dollar bonus check for going bankrupt, because it's so hard to find such well qualified experts brain trust like me.
Yeah, lots of noise at the daily level, but beyond that the signals emerge.
e.g.
ftse 100
http://uk.finance.yahoo.com/q/bc?s=^FTSE&t=my&l=on&z=m&q=l&c=
dow jones
http://uk.finance.yahoo.com/q/bc?s=^DJI&t=my&l=on&z=m&q=l&c=
The markets are powered primarily by inflation (forget CPI figures, they're heavily manipulated to look good, look at credit creation). August 15th 1971, the fundamental nature of money changed, debt became money, debt pays interest. Expansion in credit loaned into existence (by banks) is followed by collapse because of the interest. You should also take a look at interest rates over the period (couldn't find an online chart).
We've been living on bubbles for the last 30 years (there are many smaller credit bubbles in the charts before that), and will continue to do so until the money men lose their influence with the state... It's been 300 years in the UK so far.
Deleted
I bet one of the main things they use in this is Benford's Law, which says that numbers beginning with small first digits are more likely to appear in logarithmically distributed data (like most financial data) than numbers with large first digits.
This sig wasn't worth reading, was it.
Dude, it is the year 2010. Everybody knows by now that financial data does not follow a random walk (coin tossing). Stock market variations hat a "fat tail". Unfortunately it is hard to put thins into option pricing (problems with variance). This is actually a reason why far out of the money options are likely to be underpriced. I think Mandelbrot came up with this decades ago. Welcome to the real world. I heard more interesting things. Like the Peruvian who did not clone sheep but bacteria. Yea, that's right.
Various economists argue that the efficiency of a market ought to be clearly evident in the returns it produces. They say that the more efficient it is, the more random its returns will be and a perfect market should be completely random.
I'd really like to see a citation for this. I've studied a fair deal of economics in my day, and I don't remember anything even like a claim that a perfect market is completely random. Maybe I just studied the wrong (or maybe right, in this case) economics, but I can't think of any theoretical foundation for that.
If anyone can point me in the direction of real research on this, I'm very interested.
looking for technical patterns, trends, and lines of support and resistance, i was much less accurate than i thought i would be. but the timer certainly didn't help. if i had more time to look at the charts, i think i would be better able to tell which chart ignored the "rules" of technical analysis more often. perhaps? it would be interesting to see how they generated their "random" charts. i'm starting to doubt my ability to read charts now.
I think that perhaps they need to develop something related to the Turing test for politicians' interviews. It sometimes really does just seem like they've memorized a list of vetted, safe responses from their staff and reply with whatever one has the most buzzwords in common with the interviewer's question. It often sounds a bit like a computer program looking up stock answers to things might respond...with a lack of finding anything in the database returning something like "I'll have to refer to my staff on that". I'm not that familiar with the theory behind the testing in detail but I wonder if there's a way to analyze conversations that have already taken place (e.g. news interviews) for a "Turingish" rating of sorts. Yeah, I said "Turingish"...
The most basic economic formula is profit equals revenue minus cost (P = R - C). Like you, many people ignore the cost, C, when analyzing the market.
China & USA have different costs, because they are separated by the Pacific Ocean. It costs something to ship a movie, e.g. DVD, from one place to the other. If these DVDs are made in China, then the Chinese locale has much lower costs. You can't just teleport those DVDs to North America for free and sell them.
Drugs, i.e. medicines, are highly regulated for efficacy & safety. The US FDA tests drugs and passes that cost onto the manufacturer, who passes it onto the patient (consumer). Once the Chinese & Indian consumers get the off-patent versions, years of data show the drugs to be safe, which lowers insurance costs to the manufacturer.
Viagra is a recreational drug, not a medically necessary one. If more people restricted their drug use to medical necessity, then drug price would go down. Demand for drugs & their prices are too high.
The crack-addict consumer is the cause of your INefficient market, not the suppliers.
If you ever get a link to the Wall Street Journal that you can't read, just plop the URL into Google and click on the link from there.
The World Wide Web is dying. Soon, we shall have only the Internet.
Very handy.
This entire post (and the website discussed) are based on a faulty premise. Financial markets are not random systems. They are "complex systems". In neither case are they reliably predictable. For example, a person can recognize the difference between a snowflake and a random arrangement of ice crystals. That doesn't mean, however, that they can predict what shape the next snowflake will take.
Why not run the generated numbers of that algo through the financial news and stock exchange servers. Maybe that would lead to better results than let Ben Bernanky run the dollar down by his frantic freaky evil moneyprinter.
Random defined as "any given result is as likely as any other".
If you are applying that to a sequence of values that has already been produced, that would be called a uniform distribution, not randomness.
If what you mean is "for the next value to be generated by this process: any given result is as likely as any other" then yes, that
being true would be equivalent to saying the process is random.
We have to consider the meaning of "equally likely" here. Equally likely as far as who or what is concerned?
Likelihood of an event occurring is not objective, even without taking into quantum physics into account.
It depends on how much information you have about the process that will generate the event.
If you are a maxwell's demon, and you
have been tracking each atom in the air, then you know exactly when the next atom is going to pass through the gate between two air filled chambers,
and which atom that will be. That event happening will not be random to you.
If you are anything else than that daemon (being the daemon really stands for being the process that actually is the atoms and their movement
and interactions) , i.e. if you are or have any predicting/modelling algorithm of the situation
that is less complex than the process that is moving the atoms, or even have an algorithm that is as complex as the real physical process,
but is not doing/modelling the exact same characteristics and changes as the real process is doing, then you will not be able to tell when
the next atom will go through the gate, nor which nearby atom will go through next. As far as you are concerned, any particular future time
is as likely as any other particular time, and any atom is as likely as any other to be next. You can tell me what the distribution of them
will be over a period of time, but you have zero information on the nature of that next single event that the one in question.
Where are we going and why are we in a handbasket?
So a truly random process is one that is so complex that, without being the process itself, or an exact equivalent process that will behave precisely the same in all pertinent detail that governs its exact (not statistical) evolution) you cannot have any information that would allow you to guess with greater than chance probability the
value/characteristics of its next event, from among the possible values/configurations of the events generated by the process.
Where are we going and why are we in a handbasket?
""The problem is that tiny, seemingly absurdly unimportant variations today make a large difference tomorrow. Another illustration might be that wether you park your car in front of the house or behind it will generate a difference of 5 degrees Celsius in the average worldwide temperature in 10 years. On the other hand huge, seemingly important things like the energy absorption rate of the ocean hardly make any difference at all (because whatever effect they have, no matter how huge, it will get beaten by growing tiny effects). This is not a joke, or a "reduction ad absurdum" argument but the actual, literal truth (arbitrary small details have huge effects over time, while things that look very important and very big today hardly matter at all). This is a very difficult concept to grasp, and extremely unintuitive.""
Lucky for us I parked behind the house tonight. Now we don't have to worry about global warming anymore.
The quintessential chaotic system, mandelbrot's fractal, is just such an example. You take any imaginary number c = p(1).
The way I always heard it is you define f_c(z) = z^2 + c. Then you compose f_c with itself n times (for n = 0, 1, ...), and evaluate f_c^n at 0. So f_c^1(0) = f_c(0) = 0^2 + c = c.
Then you say p(n+1) = p(n)^2 + p(0), and you examine the value of p(infinity) for various values of c.
Eh, $\infty \not \in \mathbb{N}$. You examine the values of p(n) for all n.
This will draw the famous mandelbrot fractal.
To be exact, a point c is in the mandelbrot set if there exists a K such that for all natural numbers n the norm of f_c^n(0) is at most K.
It other words, by iterating (z -> z^2 + c) you never get further away from (0, 0) than a distance of K.
Side remark:
Say I'd give you 5 consecutive digits and ask you for the position in pi. Since there are infinite solutions to this question, it's not actually predictable
So you're saying I can't tell you what the answer is before... well, before what?
Also, since you're asking for the unique solution, your question is bogus. Why do you ask it?
Yeah, it'd be interesting to see if people can distinguish stock data from something from a full stop CAPM-like model with all the modern bells and whistles put in.
> Random defined as "any given result is as likely as any other".
> If you are applying that to a sequence of values that has
> already been produced, that would be called a uniform
> distribution, not randomness.
On the contrary, uniformity is an additional constraint on the distribution that makes some sequences artificially more or less likely than others. If a given distribution is guaranteed to be uniform, then it is NOT random, in the statistical/mathematical sense. (However, a uniform distribution is likely to be described as "random" by normal people who have never had a statistics class.)
> Likelihood of an event occurring is not objective, even
> without taking into quantum physics into account.
> It depends on how much information you have about the
> process that will generate the event.
In a nutshell, yes. Well, mostly yes, for practical purposes.
Strictly speaking, if somebody has information that can be used to predict the outcome, then ipso facto the process is deterministic and thus by definition not random. Incidentally, some theologians (in particular, a pretty good percentage of Calvinists) hold that absolutely everything is 100% deterministic right down to the particle level, including human behavior and everything; if they're right, NOTHING is strictly random in the mathematical sense.
Which is why cryptographers talk about "cryptographically secure pseudorandom" number generation, which generally involves collecting entropy from some source that an attacker presumably doesn't have access to and can't predict, and using that to reseed a PRNG algorithm with sufficient frequency that no pattern could become detectable. This kind of number generation is NOT random in the mathematical sense, but it's good enough for many purposes because it's very difficult to predict without access to information that the attacker doesn't have. On the other hand, *you* do have the information, and the calculation could be duplicated, if you had any reason to do so, because it's totally deterministic. Because it's deterministic, cryptographers consistently avoid calling it "random". They use the word "pseudorandom" instead.
It's interesting that you brought up quantum physics, because particle-level events, such as radioactive decay, are widely considered to be the best available source of entropy, since even the top particle-physics experts haven't got the slightest idea how to predict them in detail, and so presumably neither does the guy trying to break into your server or read your encrypted email or whatever.
So yeah, if no outcome can be reliably *determined* to be more likely than any other outcome, given the information available to the relevant parties, then it just about may as well be random, for practical purposes. And that's actually fairly similar to what you said, more or less. (Except for that first part about "uniform". I disagree entirely with that part.)
Cut that out, or I will ship you to Norilsk in a box.
Regardless of what else you may think of the book, there's
an interesting discussion of the relationship of randomness and predictability
and computational complexity in "A New Kind of Science" by Stephen Wolfram.
Where are we going and why are we in a handbasket?