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Updated: Jul 30, 2025

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
Published on: January 2, 2011
Using Heatmap Visualization to assess the performance of the DJ30 and NASDAQ100 Indices under diverse VMA trading
Yuhsin Chen1, Paoyu Huang2, Min-Yuh Day3
1Department of Accounting, Chung Yuan Christian University, Taoyuan, Taiwan.
Abstract:
We investigate whether using various VMA trading rules would improve investment performance due to the flexibility of VMA trading rules and the aid of Heatmap Visualization. Previously, investors frequently chose the best performance derived from limited VMA trading rules. However, our new design, which can display all results using Heatmap Visualization, shows that the NASDAQ100 index outperforms the DJ30 index and that weekly data outperforms daily data when measured by annualized return. These findings may be useful to those who trade index ETFs tracking the DJ30 and NASDAQ100 indices, as well as investors making investment decisions, and may contribute to the existing literature by evaluating the outcomes of VMA trading rules and providing insights for index ETF investors using a heatmap matrix, which is rarely explored and presented in the relevant literature.
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