透過您的圖書館登入
IP:13.59.36.203
  • 學位論文

利用倒傳遞類神經網路結合保力加通道支援外匯交易決策

DECISION SUPPORT FOR FOREIGN EXCHANGE USING NEURAL NETWORK AND BOLLINGER BAND

指導教授 : 陳志誠
若您是本文的作者,可授權文章由華藝線上圖書館中協助推廣。

摘要


近年來外匯市場因為各國經濟的問題變得越來難以掌握,投資人的信心隨著經濟新聞消息的宣布,而變的容易失控,彭雅玲( 2002 ),本研究的目的為:希望由藉由建置在倒傳遞類神經網路結合保力加指標(Bollinger Bands)與RSI(Relative Strength Index)指上標,來設計出於成功的自動交易策略,以解決投資人在外匯變得難以預測時,可以藉著自動交易系統的技術得到外匯投資上的保護以不至於發生重大的虧損,本研究所使用的工具為:MT4交易平台,使用的語言為:MQL4,實現於歐元/美元的交易。 在此研究當中引用了兩個傳統的外匯指標:保力加通道與RSI指標作為研究之指標,並且採用Fann(Fast Artificial Neural Network Library)的函式庫在MT4平台上來創造導傳遞類神經網路,其目的為借由訓練類神經來達成其自動交易之能力。

並列摘要


Foreign exchange market in recent years become increasingly difficult to grasp, and investor mind with the the economic news announce becomes easy to lose control, the purpose of this study: By building in on propagation neural network combined with Bollinger Bands indicator and the RSI (Relative Strength Index) to design for the success of automated trading strategies, when the foreign exchange becomes difficult to predict, the automated trading system can help investor to avoid a significant loss of foreign exchange market, the tools used in this study as follows: MT4 trading platform;MQL4 language; implemented on euro /us dollar ;two traditional Forex indicators: Bollinger Bands and RSI indicators; and Fann (Fast based Artificial Neural network library) library to create the propagation neural network in the MT4 platform, which aims to borrow neural reached the automated trading capabilities.

參考文獻


3. 日韓電子商務法制環境與發展之比較 (資策會科技法律中心法律研究員) 彭開英2008年3月 科技法律透析 p39
4. S Dammasch-The System of Bretton Woods-A lesson from history p9-10
5. Morten Bech-FX volume during the financial crisis and now
6.Karsten von Kleist,Carlos Mallo- Triennial Central Bank Survey-Report on global foreign exchange market activity in 2010 p13
8. Forecasting and Arbitrage of the Nikkei Stock Index Futures: An Application of Backpropagation Networks p2-3

延伸閱讀