The trading agent application developed by @whaledotdance has transitioned from private alpha to public availability on the Apple App Store. During its alpha phase, the application facilitated over $40 million in trades and burned more than 200 million LLM tokens, highlighting its operational capacity. The project aims to create infrastructure that supports the belief that autonomous trading agents will become more effective than human traders in market activities.

0G: 0G, referenced via @0G_labs, provides infrastructure supporting AI and large language model operations in a blockchain context. The project enables token-related processes for AI workloads. In the reported development, whaledotdance utilized 0G during private alpha to handle substantial LLM token activity as part of proving their agent trading system.
whaledotdance: whaledotdance develops an AI-powered agent trading application focused on autonomous market execution. The project builds infrastructure to enable agents that can operate continuously without human-like limitations such as panic selling or manual errors. In this news, whaledotdance has transitioned from private alpha testing to a public App Store launch, with prior activity conducted on the 0G platform.

App Launch: whaledotdance’s trading agent application has moved from private alpha to public availability on the Apple App Store.
Agent Trading Focus: The project is building infrastructure based on the vision that autonomous agents will outperform human traders in market activities.