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Sudden Demand For Logicians On Wall Street
An anonymous reader writes "In an unexpected development for the depressed market for mathematical logicians, Wall Street has begun quietly and aggressively recruiting proof theorists and recursion theorists for their expertise in applying ordinal notations and ordinal collapsing functions to high-frequency algorithmic trading. Ordinal notations, which specify sequences of ordinal numbers of ever increasing complexity, are being used by elite trading operations to parameterize families of trading strategies of breathtaking sophistication. The monetary advantage of the current strategy is rapidly exhausted after a lifetime of approximately four seconds — an eternity for a machine, but barely enough time for a human to begin to comprehend what happened. The algorithm then switches to another trading strategy of higher ordinal rank, and uses this for a few seconds on one or more electronic exchanges, and so on, while opponent algorithms attempt the same maneuvers, risking billions of dollars in the process."
If you watch a stock in real-time you can predict where it will move quite easily. Thanks to automated trading, you can just draw a line of best fit based on the stock's current direction and also determine a high and low amount of noise to where it will bounce around. Computer's have no idea how much a stock is worth, they just simply use these values to determine when to make a transaction and actually help self-perpetuate everything by being the major driving force behind a stock's movement. Changes in direction are caused by actual human intervention, such as a large buy order spaced out over several minutes.
For example, if an algorithm says "the high point is at $10.50", then when the stock gets that high it will sell the hell out of it until it bumps the price lower. Then when it says "the low point is $10.42", it buys the hell out of it again. However, if it notices an overall downward direction, it will reshift what it's idea of a high point and low point are as time progresses, helping to self-perpetuate that downward direction since it is probably one of many automated systems that work similarly and overwhelm actual human interaction with the stock price.
It's not necessarily a bad thing, if you realize this, then you can easily predict a stock's movement and make some easy income; knowing exactly where the low and high values are going to be at any point in time. Again, the only thing that causes a stock to change its movement is actual human interaction that results in the trend being broken.
Stock markets for efficient allocation of capital, sure. Derivative markets, that's questionable, and in some cases downright laughable.
There are many different kinds of derivatives. Some of them are very useful. For example, futures are very useful in farming where it gives relatively small producers a way to insure themselves agains e.g. bad weather.
That said, contracts that would now be called futures played a big part in the tulip market crash in 1637. But they needn't be bad, just because they can be abused