TSSHANNONFUNDAMENTAL(1) TSSHANNONFUNDAMENTAL(1) NAME tsshannonfundamental - find the fundamental Shannon probability of a time series SYNOPSIS tsshannonfundamental [-p] [-t] [-v] [filename] DESCRIPTION Tsshannonfundamental is for finding the fundamental Shannon probability of a time series, given a stocks value, and the number of shares traded. The value of a sample in the time series is added to the cumu- lative sum of the samples, and the square of the value is added to the sum of the squares to make a new time series by dividing the cumulative sum by the number of samples, and the square root of the sum of the squares divided by the number of samples for each sample. The new time series is printed to stdout. The input file structure is a text file consisting of records, in tem- poral order, one record per time series sample. Blank records are ignored, and comment records are signified by a '#' character as the first non white space character in the record. Data records must con- tain at least two fields, which is the data value of the sample, fol- lowed by the volume of the sample, but may contain many more fields-if the record contains many more fields, then the first field is regarded as the sample's time, and the next to the last field the value, with the last field as the sample's volume at that time. Note that since the average of the normalized increments of a time sam- pled time series goes up linearly on the number of samples in a sampled interval, and the root mean square of the normalized increments go up with the square root of the of the number of samples in a sampled interval, it would be reasonable to assume that that the average of the normalized increments would go up linearly with the trading volume of a stock, and the root mean square to go up with the square root of the trading volume of a stock. OPTIONS -p Don't output the time series, only the average values. -t Sample's time will be included in the output time series. -v Print the version and copyright banner of the program. filename Input filename. WARNINGS There is little or no provision for handling numerical exceptions. SEE ALSO tsderivative(1), tshcalc(1), tshurst(1), tsintegrate(1), tslogre- turns(1), tslsq(1), tsnormal(1), tsshannon(1), tsblack(1), tsbrown- ian(1), tsdlogistic(1), tsfBm(1), tsfractional(1), tsgaussian(1), tsin- tegers(1), tslogistic(1), tspink(1), tsunfairfractional(1), tswhite(1), tscoin(1), tsunfairbrownian(1), tsfraction(1), tsshannonmax(1), tschangewager(1), tssample(1), tsrms(1), tscoins(1), tsavg(1), tsXsquared(1), tsstockwager(1), tsshannonwindow(1), tsmath(1), tsavg- window(1), tspole(1), tsdft(1), tsbinomial(1), tsdeterministic(1), tsnumber(1), tsrmswindow(1), tsshannonstock(1), tsmarket(1), tsstock(1), tsstatest(1), tsunfraction(1), tsshannonaggregate(1), tsin- stant(1), tsshannonvolume(1), tsstocks(1), tsshannonfundamental(1), tstrade(1), tstradesim(1), tsrunlength(1), tsunshannon(1), tsrootmean(1), tsrunmagnitude(1), tskurtosis(1), tskurtosiswindow(1), tsrootmeanscale(1), tsscalederivative(1), tsgain(1), tsgainwindow(1) tscauchy(1), tslognormal(1), tskalman(1), tsroot(1), tslaplacian(1) DIAGNOSTICS Error messages for incompatible arguments, failure to allocate memory, inaccessible files, and opening and closing files. AUTHORS ---------------------------------------------------------------------- A license is hereby granted to reproduce this software source code and to create executable versions from this source code for personal, non-commercial use. The copyright notice included with the software must be maintained in all copies produced. THIS PROGRAM IS PROVIDED "AS IS". THE AUTHOR PROVIDES NO WARRANTIES WHATSOEVER, EXPRESSED OR IMPLIED, INCLUDING WARRANTIES OF MERCHANTABILITY, TITLE, OR FITNESS FOR ANY PARTICULAR PURPOSE. THE AUTHOR DOES NOT WARRANT THAT USE OF THIS PROGRAM DOES NOT INFRINGE THE INTELLECTUAL PROPERTY RIGHTS OF ANY THIRD PARTY IN ANY COUNTRY. Copyright (c) 1994-2006, John Conover, All Rights Reserved. Comments and/or bug reports should be addressed to: john@email.johncon.com (John Conover) ---------------------------------------------------------------------- January 17, 2006 TSSHANNONFUNDAMENTAL(1)