Case Study: 2IQ predicts short squeezes with causaLens Causal AI

2IQ - Customer Case Study

The customer, 2IQ, a premier provider of short interest data, required a method to predict explosive short squeeze events in equity markets. The vendor, causaLens, applied its Causal AI technology to 2IQ's high-resolution data to build predictive models and identify key risk factors for stocks like GameStop and AMC.

Using this solution from causaLens, a predictive Short Squeeze Risk Factor (SSRF) was developed that successfully forecasted major price movements. When deployed in a trading strategy for a portfolio of over 500 instruments, the approach, powered by causaLens, yielded a Sharpe ratio of over 1.7, significantly outperforming the market and demonstrating the high predictive power of the causal model.

2IQ