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The Sun-Baked Speculator
Tom Ryan

09/29/04
Geology and Markets
For years miners, especially underground miners talked about earth tides in the rock in response to the moon. And there have even been some countable studies, namely in large caving operations where draw data would suggest the existence of response in the mine to the moon cycle. But of course there are so many overlapping influences and much noise and precision errors with regard to measurements. But recently, as technology has improved, particularly Doppler and ground penetrating radar, there is increasing evidence of ground response in large rock structures to the moon. It's very small, almost unmeasurable, but it's probably there.
For example, although the sample size is small, we have
documented a tendency for very large rock slides in open pit mines to develop
during full moon periods. Of course, this small sample size presents a problem
for when it comes to predicting geologic events, and this Parkfield business and
the eq swarm at St. Helens are good examples, we have the classic problem of the
base rate vs the case rate. When it comes to very long term records, say 500
years or longer, we don't have a lot of great records but where we do have it,
say floods on the Nile, Vesuvius, geomorphology of fault scarps, volcanic ash
layers in soils, tree rings, to name a few, in nearly all cases we see negative
exponential or Weibull distributions. However, data from the most recent
100-200 years can take almost any form. This leads to the dilemma, do we use
the actual case rate as measured, and what if that case rate does not take the
exponential form as we tend to see with events that have the longer records.
The market analogy is clear, how far back in the record do we test our systems.
And what does it mean to see a system work for one period and not in the next.
We have all probably had that experience of developing a trading system only to
be confronted upon implementation with three or more losers in a row.... what
does it mean to have a back-tested system that suddenly fails 3,4, times in a
row? (up until today the many down afternoons lately come to mind). It's the
same base rate vs case rate problem. Of course, there is a big difference between
markets and rocks, people learn and adapt. The changing cycles ala Bacon. But
the length of the back-test is always problematic it seems to me. Henry and i
talked a bit about the application of GA's to market trading systems and one area
which I have toyed with is using GA's to determine fitness verses length of
back-test because GA's are such good optimizers of noisy data. But my initial
work on it just generated another noisy time series as fitness seemed to jump
back and forward in time. That was just one system however so maybe applying it
to another would yield a substantial meal.
This is a long winded way of saying I have no clue when St. Helens will erupt
in a big way again, although the precursors like an eq swarm (or rising
volatility in the case of prices) might be an indicator of something on the
horizon. Given the prevailing wind direction at this time of year there would
be some interesting speculative implications.