Proud to back @De1_ai in ER S4 Almost every trading agent shipping today was trained on a market that doesn't exist. Backtests and simulated order books don't push back. Offline winners get taken apart the moment real capital is on the line. De¹ closes that loop. Intent routes across 1,000+ liquidity sources on 40+ chains, and every real fill comes back as a verifiable reward label that trains the model that produced it. Execution quality and market understanding improve together. That's the Financial World Model. Three things we underwrite: - The dataset can't be bought. $40B+ lifetime volume, 3.1M contributors. Live execution data is the one training set you only earn by sitting in the flow. - One physics engine, many worlds. The same substrate specializes into perps, prediction markets, tokenized assets, lending, stablecoin corridors. Every world feeds the base. - Contributors own it. Privacy-preserving training lets traders and institutions add signal without leaking strategy, and records them as owners of the intelligence they help build. Timing is the whole point. bStocks is making assets programmable. Agent OS is giving agents hands. What's missing is something that learns from consequences. From ZERO to DE ONE(Jeffrey Hu)