Former FTX Executive Launches UpsideOnly Crowdsourced Trading Platform
Former FTX Europe executive Patrick Gruhn's company has officially launched the UpsideOnly platform.
Users submit "paper trades" (simulated strategies) predicting the prices of assets such as oil, gold, and stocks. After the AI model filters out the optimal strategies, the platform executes real trades using its own funds. After making a profit, the company distributes half of the earnings to traders who provide effective signals.
Retail signal providers and trading enthusiasts are accelerating their participation in the market. UpsideOnly achieves risk isolation through AI filtering and execution with its own funds, benefiting the crowdsourced signal platform while traditional copy trading or signal services face short-term pressure. Capital is rapidly concentrating towards an AI-driven low-risk crowdsourced trading ecosystem.
Source: Public Information
ABAB AI Insight
Patrick Gruhn leverages the trading and compliance experience accumulated during his time at FTX to launch UpsideOnly. The core of the platform is to filter a vast number of simulated strategies through AI, executing only with the company's own funds to avoid mixing user funds, while incentivizing high-quality signal contributors with a 50% profit share.
In terms of capital pathways, the platform transforms user intelligence (simulated strategies) and AI filtering capabilities into real Alpha, with the execution risk borne by its own funds. The motivation is to build a sustainable crowdsourced trading Alpha generation mechanism, forming a light-asset business closed loop from free signal submission to real profit sharing.
Similar to a combination of eToro's social copy trading and some AI quantitative signal platforms, UpsideOnly is currently in a leading position in the retail trading signal industry, transitioning from high-risk direct copy trading to AI crowdsourcing + platform's own fund execution, promoting the trading ecosystem's evolution from individual high-leverage speculation to a low-risk, collective intelligence-driven model.
Structural judgment: Essentially, this is a concentration of capital. The AI filtering mechanism highly concentrates dispersed individual simulated strategies into high-win-rate combinations, executed uniformly by the platform's own funds. The mechanism effectively incentivizes contributors through profit sharing while avoiding user fund risks, forcing the value of trading Alpha to concentrate from dispersed individual actions to AI crowdsourcing + professional execution platforms.
ABAB News · Cognitive Law
Simulated contributions of wisdom, real capital bears the risk.
The stricter the AI filtering, the more appealing the profit sharing.
Crowdsourced signals, platform controls execution.