基于Python分析投资者的投资行为

Analysis of Investor’s Investment Behavior Based on Python

投资者在互联网上留下的有关投资的言论,往往可以反映其目前的投资行为、投资偏好和市场情况等信息。因此,本文基于Python强大的数据挖掘功能,分析股票市场和期货市场下投资者的投资行为。分析市场行情,发现近期投资者热点关注话题,再分析相关行业的市场表现,挖掘相关评论、讨论相关性。最后,得出通过Python对不可量化的文字信息进行挖掘处理,得到的数据信息,可以帮助投资者更直观了解市场行情再进行决策这一结论。

Investors' comments on investment on the Internet can often reflect their current investment be-havior, investment preferences and market conditions. Therefore, this paper analyzes the invest-ment behavior of investors in the stock market and futures market based on the powerful data mining function of Python. It analyzes the market situation, finds the hot topics that investors are paying attention to recently, and then analyzes the market performance of related industries to tap relevant comments and discuss relevance. Finally, it is concluded that the non-quantifiable text information is mined and processed by Python, and the obtained data information can help investors understand the market situation more intuitively before making a decision.