Title: The design and implementation of visualised agricultural commodity futures techniques analysis software

Authors: Xiaojun Cui; Jianyong Chen; Hongyu Xiao

Addresses: Department of Information Technology, Wenzhou Vocational College of Science and Technology, No. 1000 LiuHongqiao Road, Ouhai District, Wenzhou City, Zhejiang Province, China ' Department of Information Technology, Wenzhou Vocational College of Science and Technology, No. 1000 LiuHongqiao Road, Ouhai District, Wenzhou City, Zhejiang Province, China ' Department of Information Technology, Wenzhou Vocational College of Science and Technology, No. 1000 LiuHongqiao Road, Ouhai District, Wenzhou City, Zhejiang Province, China

Abstract: 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.

Keywords: techniques analysis of futures; UI drawing; IronPython; WPF.

DOI: 10.1504/IJASS.2017.089940

International Journal of Applied Systemic Studies, 2017 Vol.7 No.4, pp.257 - 266

Received: 31 Aug 2016
Accepted: 27 Sep 2016
Published online: 26 Feb 2018 *

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