Unravelling the JPMorgan spoofing case using particle physics visualization methods
用粒子物理领域的可视化方法分析摩根大通2008至2016年幌骗案，通过交易所市场活动消息而非时间快照来识别操纵指标，并提出幌骗动机的新解释。
Abstract On 29 September 2020, JPMorgan was ordered to pay a settlement of $920.2 million for spoofing the metals and Treasury futures markets from 2008 to 2016. We examine these cases using a visualization method developed in particle physics (CERN) and the messages that the exchange receives about market activity rather than time‐based snapshots. This approach allows to examine multiple indicators related to market manipulation and complement existing research methods, thereby enhancing the identification and understanding of, as well as the motivation for, market manipulation. In the JPMorgan cases, we offer an alternative motivation for spoofing than moving the price.