股票数据初探——移动平均与烛状图分析

论文讲述了如何利用Python对多只股票进行数据分析,并且分析每只股票间的异同。运用Python,可将股票数据进行可视化处理,例如,运用线性图展现出股票随时间的变化情况;利用烛状图了解每只股票每日闭市与开市相比的盈利或者亏损情况;利用移动平均值直观地观察在规定时间内股票价格变动,了解股票价格是否稳定。论文以制定更好的决策为目的,从数据可视化入手,提供优质有效的数据信息,运用数据挖掘技术对微软、苹果、谷歌等多只股票价格波动趋势进行研究。

Exploration on the Stock Data--Moving Average and Candlestick Charting Analysis

The paper describes how to use Python to analyze data on multiple stocks and analyze the similarities and differences between each stock.By using Python,the stock data can be visualized.For example,using a linear charting to show the changing situation of the stock over time.Using candlestick charting to understand the profit or loss situation of each stock when the market is closed compared to the open each day.Using moving averages to visually observe the stock price changes within a specified period of time to understand whether the stock price is stable.With the aim of making better decisions,the paper starts with data visualization to provide high-quality and effective data information,and uses data mining technology to study the price fluctuation trends of several stocks such as Microsoft,Apple and Google.