Stock trading and prediction using neural networks
As the technical analysis is playing a more and more important role in today’s financial market, investors are seeking for an effective technical method to predict future stock price. Neural network is served as the main technique. This paper proposed a multiple-price model based on artificial neura...
Saved in:
| 主要作者: | |
|---|---|
| 其他作者: | |
| 格式: | Final Year Project |
| 語言: | English |
| 出版: |
2012
|
| 主題: | |
| 在線閱讀: | http://hdl.handle.net/10356/50094 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
| 總結: | As the technical analysis is playing a more and more important role in today’s financial market, investors are seeking for an effective technical method to predict future stock price. Neural network is served as the main technique. This paper proposed a multiple-price model based on artificial neural network to forecast stock price. The architecture and related algorithm are introduced. The author trained the neural network with different models and selected the best prediction model among various input combinations and preprocessing techniques to construct a trading system. The trading system is proved to achieve a higher return than the buy & hold strategy, though, with high volatility. |
|---|