Exploring the Endogenous Nature of Meme Stocks Using the Log-Periodic Power Law Model and Confidence Indicator

This study examined the endogenous nature of negative bubbles forming in meme stocks with Log-Periodic Power Law (LPPL) Confidence Indicator (CI). A stock is a that has gained significant amount attention on large social media platform such as Yahoo! or Reddit. four including Tesla, Inc. (TSLA), GameStop Corp. (GME), Koss Corporation (KOSS), and AMC Entertainment Holdings Inc (AMC). The CI was able to detect numerous stocks, but had difficulty significantly predicting media-induced exogenous rallies. may have been due price movements affected by external causes short squeezes. However, model did provide proof for formation previous could catalyst outlines real unpredictability many black-swan events, further studies be done examining bubbles.