Predicting stock market movements has always been of great interest to investors and an active area of research. Research has proven that popularity of products is highly influenced by what people talk about. Social media like Twitter, Reddit have become hotspots of such influences. This paper investigates the impact of social media posts on close price prediction of stocks using Twitter and Reddit posts. Our objective is to integrate sentiment of social media data with historical stock data and study its effect on closing prices using time series models. We carried out rigorous experiments and deep analysis using multiple deep learning based models on different datasets to study the influence of posts by executives and general people on the close price. Experimental results on multiple stocks (Apple and Tesla) and decentralised currencies (Bitcoin and Ethereum) consistently show improvements in prediction on including social media data and greater improvements on including executive posts.

本文探讨了社交媒体（Twitter和Reddit）帖子对于预测股票收盘价格的影响，通过将社交媒体数据的情感分析与历史股票数据相结合，使用时间序列模型进行研究分析，并实验结果表明，包括高管帖子的社交媒体数据能够显著提高股票价格的预测能力。

高管社交媒体帖子对股价影响的评估