Equity Markets and Stock Instruments › Visualizing Market Data

Understanding how to visualize stock data helps with exploratory analysis and communicating findings. Let's examine common visualization patterns.

The moving average smooths daily price fluctuations over the chosen window. This gives a window-dependent summary of prices, not a direct observation of an underlying trend. When price trades above its moving average, the trend is generally considered bullish; below suggests bearish conditions.

The histogram and boxplots illustrate how to compare a synthetic sample with a fitted normal distribution. The price path was generated from Gaussian increments, not measured market observations. A finite sample can have nonzero excess kurtosis even under a normal generator, so these plots do not establish that Apple returns or the generating population have fat tails. An empirical tail analysis would require identified market data and an appropriate statistical procedure.

Volume spikes often accompany significant price moves, earnings announcements, or news events. The OHLC chart shows the intraday range for each day: the line spans from low to high, while the thick segment spans from open to close. Teal indicates close greater than or equal to open; rose indicates close below open. The generated rows illustrate the display convention, not a relationship between news and volume in observed markets.