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Chemical Engineering Software. Specializing in the Development of Chemical Engineering Software & Engineering Consultancy Specializing in the Development of Chemical Engineering Software & Engineering Consultancy |
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About 6 years ago, we were approached by a leading Day-Trader and requested to
develop a system to predict the maximum and minimum prices of stocks within one
day of trading. Initially, the request was to build on the Finsight software
developed jointly by the Financial Times Group and Intera Information
Technologies Limited. The system had been developed from a classical approach
to handling Chaotic Systems (State Space Embedding). We negotiated rights to
the system, but it proved impossible to access. Accordingly, we developed a
similar system based on open literature publications. However, the resulting
system did not perform better than the simple yardstick of the opening price
+/– half the average daily price movement. We built a marginally better system
based on a statistical tool that we had developed for the process industries.
The objective of the tool was to assess the impact of random variations in raw
material specification on product quality. The resulting system showed promise
in that the predictions were better than random. However, we judged that they
would be of only marginal value to day traders. We went back to first
principles to study the actual statistics that describe stock-market price
movements. We found that they are not described by any of the standard
statistical distributions (Gaussian, Log-Normal, Negative Exponential, Weibull
etc). They are described by a new distribution function not previously
described in the literature. To date, we have found that every one of hundreds
of price series that we have studied are described by the same 2-parameter
distribution function. We have processed millions of stock market statistics
over the years to draw our conclusions. We find that, contrary to the usual
perception, prices do NOT move as a random walk.
Based on our new understanding, we have developed a new stock-market
price-prediction system. It is developed and marketed with our Canadian
partners Sherwood Systems Group. The system is unique in that, it provides
users with statistics on likely movement direction and extent, rather than
simply giving predicted values. This characteristic makes it slightly more
difficult to use. Nevertheless, it is proving popular with sophisticated
traders. It is now one of the most popular systems with thousands of users.
Details, and a download facility, can be found on
http://www.tomorrowsprices.com
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