chenyangkang / Pred_A_Shares_Using_Weibo_Data

Predicting A-stock price using weibo data

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Pred_A_Shares_Using_Weibo_Data

Predicting A-shares prices using weibo data

Motivation

A-share is one of the most irrational market, with “dare-to-die buyers” and low quantitative trading rate (<10% I remember, compared to >40% in the US). Social media data could be a good source to predict the "mispricing" of public traders. Many influencers post their thoughts and strategies on Weibo everyday, which makes it a potential data source to predict stock price fluctuation.

Important plug-in packages:

Ashare: request A-share daily data.

weibo-scraper: scrapping historical and today's Weibo data.

Workflow:

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Predicting A-stock price using weibo data

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Language:Jupyter Notebook 83.7%Language:Python 16.3%