Predicting Investor Behavior and Investment Patterns in Equity and Lending Crowdfunding Campaigns

Crowdfunding has become a popular way for entrepreneurs and companies to raise capital. However, increasing competition in the crowdfunding market has led to the need for predictive models to estimate the success or failure of crowdfunding campaigns. This study presents preliminary results on predicting investor behavior and investment patterns in equity and lending crowdfunding campaigns using a machine and deep learning approach. We collected a new dataset of crowdfunding campaigns in Italy and used several algorithms to model and predict investor behavior and investment patterns. The results obtained are encouraging. Our study can contribute to a better understanding of crowdfunding strategies and campaign design guidelines.