| Summary: | 碩士 === 國立暨南國際大學 === 資訊工程學系 === 102 === Heuristic Algorithms normally originate from the appearance of nature. For example, Particle Swarm Optimization and Ant Colony Optimization, etc. Heuristic algorithms typically have high efficiency, high applicability characteristics. It can obtain optimal solution or suboptimal solution of the problem within an acceptable time. To solving complex real-world problems, such as resource management, circuit design automation, the application of the financial market will often choose heuristic algorithms.
In this paper, we focus on the financial market trade issues. The present use the Quantum-Inspired Electromagnetism-like Mechanism and some of the simple well-known technical indicators to establish a compact system of invested advice.
The past time-series data are calculated with specific mathematical module and counted by technical indicators. Technical indicators analysis the past stock price behavior and expected behavior of past stock price movement may happen again in the future.
There are many different kinds of technical indicators and each has many different parameters. Therefore, this study used price and volume moving average to investigate the relationship between different parameter in Taiwan stock market.
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