Access the full text.
Sign up today, get DeepDyve free for 14 days.
References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.
The agricultural commodity futures analysis software in the mainstream market can only contribute to 'qualitative investment', with poor support for 'quantitative trading', in urgent need of improvement. In view of above-mentioned state, the thesis introduces the visualised agricultural commodity futures techniques analysis software based on .NET platform. The software adopts the WPF framework in VS2015 for development, IronPython for drawing graphics and Windows file system for data storage. The software has such functions as visualised data graphics display, data updating and classification retrieval. Such features of the software as lightweight, the ability to collect a large number of historical data, offline use and the ability to build mathematical models can not only meet the needs of ordinary users, but also bring good news to the professional analysts.
International Journal of Applied Systemic Studies – Inderscience Publishers
Published: Jan 1, 2017
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.