Stock prices fluctuate constantly. There are several reliable ways to mitigate stock price volatility: trading short-term gap price differences, buying and selling with momentum, or holding high-quality stocks for the long term until volatility averages out. When stock price movement is mathematically differentiated by time, the instantaneous price emerges—but humans cannot act in microseconds. In contrast, computers, with enhanced performance, can now trade at these speeds. Furthermore, by using artificial intelligence to analyze stock data, computers can reduce mistakes and trade algorithmically, unaffected by emotion. Still, even computers are limited if humans incorrectly input trading rules. Humans are not suboptimal investors due to a shortage of information or knowledge, but because they often fail to follow the necessary rules in each situation. - Joseph’s “just my thoughts”
Since 2008, the US CDC has published annual flu reports aimed at preventing the spread of influenza nationwide. Researchers took two weeks to compile data on each flu outbreak by calculating the number of cases and generating a report. Meanwhile, the flu had already spread across the country. Google addressed this issue by analyzing search query statistics. However, an error emerged in 2013 when the flu vaccine became scarce, prompting the media to publish numerous flu-related articles that further distorted the situation by conflating the search terms for flu patients. In other words, accurate data analysis depends on the ability to interpret quality, untainted data and its context. - Joseph’s “just my thoughts”