Moshi: an AI tool turning market data into actionable insights for traders

Anekha Sokhal, a former energy trader at JPMorgan, has launched Moshi, a recommendation engine designed to help traders process overwhelming volumes of market data. According to the announcement, Moshi combines structured and unstructured data streams (news, social media, technical indicators) to deliver real-time insights tailored to traders' portfolios.

Speaking at AI Engineer New York, Sokhal explained that she created Moshi to address a personal gap: a tool capable of handling data volumes too vast for human analysis, such as futures market time series or technical analysis. She also discussed challenges in document extraction and the decision between building or buying models, as well as the growing pressure on AI engineers, often labeled as « the entire team » by employers.

The tool initially targets commodity and energy markets, with plans to expand to other segments. Its approach relies on integrating public and private data, with a focus on trusted sources and user preferences. Feedback from traders at conferences like AI Engineer New York confirmed strong interest in solutions tailored to their workflows, even before considering hiring.