The intersection of social media, low-cost trading platforms, and naive investors has created an ideal situation for information-based market manipulations, especially pump&dumps. Manipulators accumulate small-cap stocks, disseminate false information on social media to inflate their price, and sell at the peak. We collect a dataset of stocks whose price and volume profiles have the characteristic shape of a pump&dump, and social media posts for those same stocks that match the timing of the initial price rises. From these we build predictive models for pump&dump events based on the language used in the social media posts. There are multiple difficulties: not every post will cause the intended market reaction, some pump&dump events may be triggered by posts in other forums, and there may be accidental confluences of post timing and market movements. Nevertheless, our best model achieves a prediction accuracy of 85% and an F1-score of 62%. Such a tool can provide early warning to investors and regulators that a pump&dump may be underway.
翻译:社交媒体、低成本交易平台和天真的投资者的交汇为基于信息的市场操纵创造了理想的局面,特别是泵和泵。 操纵者积累了小盘股票,在社交媒体上传播虚假信息以抬高价格,并在高峰时出售。 我们收集了一批股票的数据集,其价格和数量状况具有泵和泵的特质,并且为那些与最初价格上涨时间相匹配的同类股票收集了社交媒体插座。 我们从这些中建立了基于社交媒体文章所用语言的泵和泵事件的预测模型。 存在多种困难:并不是每个邮局都会引起预期的市场反应,一些泵和泵事件可能由其他论坛的邮局引发,还有后期和市场流动的意外影响。 尽管如此,我们的最佳模型的预测准确率达到85%,F1芯为62%。 这样的工具可以向投资者和监管者提供早期警告,即泵和泵可能正在运行之中。