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1. Description
1.1 Introduction
This software is developing aspect of technical analysis that tries to 代写留学生论文predict the future movement of a stock based on past data. Trend analysis is based on the idea that what has happened in the past gives traders an idea of what will happen in the future.

There are three main types of trends: short, intermediate and long-term.

Trend analysis is helpful because moving with trends, and not against them, will lead to profit for an investor

1.2 Type
This project is based on a development, and needs the experimentation and comparative studies. Initially I am intended to adopt the JAVA programming language to develop this project and achieve its functions which make the system easier to operate than C++. And I will make the graphic user interface based on JSP web page which can easily retrieve, update the latest information, and interact with database to retrieve and process necessary information.
But this project also needs the experimentation. After finishing the development, I’ll compare it with other similar existing software to find out the strengths and weaknesses between them, also I’ll give it to the users and get the feedback from them, in order to improve the functionalities and the usability.

1.3 Problem Domain
 Considering those existing stock market software, what are our contributions and what are the novelties.
 How to build up the smart interface which can attract user to use.
 Make the interface simple, and easy to use. After all, most users who https://www.51lunwen.org/projectmanagement/will use this software are not professional in computing field.
 Keep updating the data.
 How to evaluate and analysis the stock trend in different commercial situations.
 Use some visualization techniques to display straightforward and accurate multi-stock data.
 The accuracy. How to make the evaluation and prediction as accurate as possible and reliable to the user.
 Need the efficient operation and stable platform.

1.4 Goals
1.4.1 Aims

To develop and evaluate a web based software that can help users to analysis the trend, and predict the stock trend.

1.4.2 Objectives

 Do some study works on the existing stock trend analysis, prediction techniques and software. Improve those existing techniques and make my own contributions.

 Build up a friendly, smart and simple user interface, help user analyze the information fast, easily and accurately.

 Accumulate as much relevant data as it can support from website store in the database and keep updating them.

 Display the straightforward and accurate figures of the multi-stock data in various visualization techniques.

 An individual window shows the latest financial news and some other relevant supporting information.

 Develop an appropriate analysis and prediction model.

 Process the information that the user enters.

 Analyze and evaluate the model by suitable statistical algorithms and techniques in order to predict the trend, the best and worst situation, and its risk rate. Also the 本论文由英语论文网提供整理，提供论文代写，英语论文代写，代写论文，代写英语论文，代写留学生论文，代写英文论文，留学生论文代写相关核心关键词搜索。