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PortfolioTK 1.06
By: Piatek Software

PortfolioTK lets you identify the strengths and weaknesses of your investment strategy. Portfolio Tool Kit provides an advantageous way of looking at your portfolio of investments. Its clean and intuitive interface provides insight into how your overall portfolio is really performing, through both accurate quantitative statistics and advanced charting. Not only that but you can use PortfolioTK's reporting features to see how your portfolio has been performing against the major benchmark indices. PortfolioTK is easy to use. The only action necessary to see all your portfolio level statistics is to enter your month ending account balance that you receive from your broker's statement. That's it! All the graphs and statistics are then automatically calculated and updated. To view further statistics on the individual trade level, you are also able to enter your security positions to access an additional tier of pertinent information.

CategoryBusiness
Release Date 2007 05 04
LanguageEnglish
Supported OsWin98, Windows2000, WinXP, Windows2003, Windows Vista Home Basic, Windows Vista Home Premium, Windows Vista Business, Windows Vista Enterprise, Windows Vista Ultimate, Windows Vista Home Basic x64, Windows Vista Home Premium x64, Windows Vista Business x64, Windows Vista Enterprise x64, Windows Vista Ultimate x64
TypeCommercial
Release StatusMinor Update
Last Changes-Added Modern Portfolio Theory statistics (alpha, beta, r, r-squared). -Added two new charts in performance tab. +Quadrant chart: Alpha / Beta of portfolio against indices. +Scatter graph: Correlation between index and portfolio. monthly % returns. -Fixed an issue that would cause the program to crash when exporting. charts under some situations. -Added a few dialog boxes to make sure your account is saved before. moving to the next task. -Changed some visual elements of the user interface, as well as, improved usage functionality. -Monte Carlo equity curve graph now uses linear scale. This corrects. distortion present when tests were run with a high Positions Per . Trial # set. Linear scale makes sense as compounding effects are. not considered in the Monte Carlo Simulations.
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