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We provide complete source code for a front-end GUI and its back-end counterpart for a stock market visualization tool. It is built based on the "functional visualization" concept we discuss, whereby functionality is not sacrificed for fancy graphics. The GUI, among other things, displays a color-coded signal (computed by the back-end code) based on how "out-of-whack" each stock is trading compared with its peers ("mean-reversion"), and the most sizable changes in the signal ("momentum"). The GUI also allows to efficiently filter/tier stocks by various parameters (e.g., sector, exchange, signal, liquidity, market cap) and functionally display them. The tool can be run as a web-based or local application.
103 pages; to appear in Journal of Risk & Control
FOS: Economics and business, Portfolio Management (q-fin.PM), Risk Management (q-fin.RM), Quantitative Finance - General Finance, General Finance (q-fin.GN), Quantitative Finance - Portfolio Management, Quantitative Finance - Risk Management
FOS: Economics and business, Portfolio Management (q-fin.PM), Risk Management (q-fin.RM), Quantitative Finance - General Finance, General Finance (q-fin.GN), Quantitative Finance - Portfolio Management, Quantitative Finance - Risk Management
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |