Former Foresight Ventures co-founder pitches Mojo as an AI trading product built around trader behavior
WhiteForest, a former co-founder of Foresight Ventures, has published a lengthy critique of the current AI trading market while introducing Mojo, a product he says is designed to confront retail traders with their own repeated mistakes instead of feeding them more signals. Drawing on his time overseeing five business lines at Bitget and reviewing trading data from hundreds of thousands of retail users, he argues that retail losses are not mainly caused by weak judgment or a lack of information. In his view, the bigger problem is execution at critical moments and the absence of systems that can surface a trader’s own prior rules, comments, position limits, and repeated behavior before another trade is placed. The article groups most AI trading offerings into four categories: strategy cards, copy-trading agents, AI analysis chatboxes, and products that integrate large language models but reduce them to rigid, hard-coded workflows. WhiteForest says those products optimize distribution, engagement, or data collection rather than decision quality. He uses that framework to present Mojo as a system that can show a user what they did over the prior 12 months, what they previously said they would do, and whether they are simply repeating a pattern. He also makes broader claims about how user behavior data could be captured and monetized by proprietary trading firms if the market keeps moving in its current direction.








