臺灣博碩士論文加值系統

艾略特波浪理論是一知名的金融商品市場技術分析方法,且廣泛的應用在世界各地。波浪理論中詳細地描述了人類如何在金融市場中群體互動，而且披露群眾心理隨著對行情樂觀與悲觀期待所產生搖擺不定的現象，而建立的具體明確可辨認的波形圖樣，其實是建構在一種自然的序列上。 金融商品市場(如股票市場,期貨市場等)是最容易觀察此一現象的存在，那影響了投資人的心理，也記錄了價格波動的形式。也就是說你可以辨認價格重覆的波形，而且瞭解目前的位置是在重覆波形的何處。因此可以預測未來將會走到那。 本論文的研究目的在於利用電腦輔助之科技及程式的演算法來辨識金融商品市場指數或價格上升下降所形成的波形，並根據艾略特波浪理論中的波浪級數，標記波浪等級，進而預測其未來走勢。 本研究有兩個主要工作:第一,辨識指數或價格波形,根據相對應的波浪級數 ，標記其波浪等級符號於線圖上。第二，根據目前的波浪等級預測未來可能的走勢與指數價格。

This thesis implements the Elliott Wave Principle which is a well-known financial technical analysis method in commodity and stock markets. Today, thisprinciple is one of the most widely adopted methods for market analysis in theworld. The Wave Principle is a detailed description of how groups of people behave.It reveals that mass psychology swings from pessimism to optimism and back ina natural sequence, creating specific and measurable patterns. One of the easiest places to see this phenomenon at work is in the financialmarkets, where changing investor psychology is recorded in the form of pricemovements. The idea is that if we can identify repeating patterns of prices, andfigure out where we currently are in those repeating patterns, then we can predict the future trend. There are two major parts of work in this research. First, we utilize computer-aided technology and computer algorithm to recognize patterns based onElliott Wave Principle. Marking corresponding wave number and degree on eachwave.Second, a prediction for financial market trends in the future is availablebased on current patterns.