StockChartX 5.8

Screenshot of StockChartX

Shareware Author : Modulus Financial Engineering

OS : Win 3.1x,Win95,Win98,WinME,WinXP,WinNT 3.x,WinNT 4.x,Windows2000,Unix,Linux,MS-D

Size : 1024 kBytes

Price : $0.00 -Get the Full Version

License : Commercial

Added date : 19. May 2006

Release date : 23. April 2006

Download link: Download here

Publisher web: Visit Website

Software description :

For .NET, VB6, C++ and other languages: StockChartX features new charting types: 3D Candlesticks, Renko, Kagi, Three Line Break, Point & Figure, Candlevolume, Equivolume, Shaded Equivolume, Darvas Boxes,Technical Analysis and more! Now developers can leverage their knowledge and existing code to easily integrate our lightweight COM-based ActiveX stock chart control. Developing with StockChartX using VB, VB.Net, C#, Excel, VC++, and Delphi, is quick and easy. StockChartX supports both Desktop applications and web charting applications. No other charting component comes close to the flexibility and completeness of StockChartX V.5 Pro. Modulus Financial Engineering does one thing and does it right... we do financial software engineering only! What this means is that you will find features built right into StockChartX that you will not find in any other charting component, guaranteed. Features that are specific to financial applications. Finally, a charting component designed BY traders, FOR traders! With StockChartX, you can chart real-time stock data, embed objects like buy, sell, exit or custom bitmap symbols, insert text, trend lines, custom drawings, multiple indicators, overlay indicators (share scales), display charts with semi-log or linear scaling, print charts, save charts as images, save/load charts as binary files, and much more! Use StockChartX as your essential front-end data analysis tool for developing interactive financial applications. StockChartX is the perfect addition to your financial engineering toolbox. StockChartX V.5 comes with very comprehensive VB6, VC++, VB.net, C#, Delphi 7, Borland C++ Builder, and Excel example projects, each containing 1,000 to 2,000 lines of highly commented source code.

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