Research on the Influence of Crowdsourcing Participants' Reputation on Trading Performance based on Data Mining

Crowdsourcing is an online activity in which employers openly convene crowdsourcing participants to participate in completing tasks through crowdsourcing platforms. Starting from the reputation of crowdsourcing participants, this paper analyzes the key factors that affect trading performance, builds a theoretical model of how the reputation of crowdsourcing participants affects trading performance, and empirically analyzes the data of the participants of the Zhubajie crowdsourcing platform. The research results show that credit rating, margin deposit, the number of employers served, three- month refund rate, and the number of penalties are the key factors affecting the trading performance, which significantly impact the crowdsourcing trading performance.