mutual

The Mutual Fund Tracker works using technical analysis to determine when to buy or sell mutual funds. This program will help you analyze a mutual funds relative strength based on comparison of three user definable moving averages and the current fund price, while providing you with buy, sell, and hold signals based on three key indices. You can even look at different "what if" scenarios based on your diverse criteria and investment objectives. Lets look at the programs results for the past five years. In 1996 you would have seen a gain of 21.67%. In 1997 you would have seen a gain of 26.49%. In 1998 you would have seen a gain of 25.75%. In 1999 you would have seen a gain of 46.98%. In 2000 you would have seen a loss of 0.93%.

Manage your portfolio of stocks, bonds and mutual fundswith unique help from Numerology and Astrology. Createreports for stocks, bonds and mutual funds. Choose any date between 1900 and 2099 for your trades. Get the edge you need to finally crack Wall Street today!

Real time stock and mutual fund portfolio management software package. Desktop app automatically updates prices in real time from Internet. Updated prices downloaded to Palm with each HotSync.

WallStreetMenu is a customizable Mac OS X menu item which enables users to keep track of Stocks, Mutual Funds, and Indices.

Text::NSP::Measures::2D::MI is a Perl module that provides error checks for Loglieklihood, Total Mutual Information, Pointwise Mutual Information and Poisson-Stirling Measure.

SYNOPSIS

Basic Usage

use Text::NSP::Measures::2D::MI::ll;

my $npp = 60; my $n1p = 20; my $np1 = 20; my $n11 = 10;

$ll_value = calculateStatistic( n11=>$n11,
n1p=>$n1p,
np1=>$np1,
npp=>$npp);

if( ($errorCode = getErrorCode()))
{
print STDERR $errorCode." - ".getErrorMessage()."n"";
}
else
{
print getStatisticName."value for bigram is ".$ll_value."n"";
}

Unique built-in fraction calculator allows investor tocalculate profits directly in fractions. Maintain portfolios of stocks & mutual funds. Internet aware. Download quotes directly into portfolios. Look up stock symbols on-line.Drag & drop features.

Download free historical stock quotes and store historical stock prices in metastock format. Intraday and End-of-day quotes for

mutual funds, market indices and stocks. You need to download and install free Metastock Downloader.

Design a balanced portfolio of Vanguard Mutual Funds that will include Large Cap, Mid Cap, Small Cap, International, Emerging Markets, Long Term Treasuries, Intermediate Term Corp Bonds, Short Term Corp Bonds and Cash.

FundTrac description
FundTrac is an easy-to-use and smart mutual fund portfolio analyzer. FundTrac will help you analyze mutual funds and how they have performed.

It allows you to create allocation scenarios in several modes.

Obviously, past results are no measure or assurance of future results.

Use the program as a tool in your investment research.

FundTrac is an easy-to-use and smart mutual fund portfolio analyzer.

Text::NSP::Measures::3D::MI is a Perl module that provides error checks and framework to implement Loglieklihood, Total Mutual Information, Pointwise Mutual Information and Poisson Stirling Measure for trigrams.

SYNOPSIS

Basic Usage

use Text::NSP::Measures::3D::MI::ll;

$ll_value = calculateStatistic( n111=>10,
n1pp=>40,
np1p=>45,
npp1=>42,
n11p=>20,
n1p1=>23,
np11=>21,
nppp=>100);

if( ($errorCode = getErrorCode()))
{
print STDERR $erroCode." - ".getErrorMessage()."n";
}
else
{
print getStatisticName."value for bigram is ".$ll_value."n";
}

This module is the base class for the Loglikelihood and the True Mutual Information measures. All these measure are similar. This module provides error checks specific for these measures, it also implements the computations that are common to these measures.

Log-Likelihood measure is computed as
Log-Likelihood = 2 * [n111 * log(n111/m111) + n112 * log(n112/m112) +

n121 * log(n121/m121) + n122 * log(n122/m122) +
n211 * log(n211/m211) + n212 * log(n212/m212) +
n221 * log(n221/m221) + n222 * log(n222/m222)]

Total Mutual Information

tmi = [n111/nppp * log(n111/m111) + n112/nppp * log(n112/m112) + n121/nppp * log(n121/m121) + n122/nppp * log(n122/m122) + n211/nppp * log(n211/m211) + n212/nppp * log(n212/m212) + n221/nppp * log(n221/m221) + n222/nppp * log(n222/m222)]

Pointwise Mutual Information

pmi = log (n111/m111)

Poisson Stirling Measure

ps = n111 * ( log(n111/m111) - 1)

All these methods use the ratio of the observed values to expected values, for computations, and thus have common error checks, so they have been grouped togrther.