This agent predicts market movements and executes trades by exploiting computational speed advantages over data transmission latency. It uses sublinear algorithms to analyze portfolios and calculate temporal leads between geographic markets, like the time it takes for data to travel from Tokyo to NYC versus how fast it can compute predictions. The premise is fundamentally flawed. You cannot predict market data that hasn't arrived yet through faster computation alone, and claiming computational advantages that "exceed light-speed data transmission" misunderstands both physics and how markets work. The technical integrations with sandboxes and neural networks are standard, but the core concept promotes a fantasy version of high-frequency trading that doesn't exist. Useful as a thought experiment about latency arbitrage, misleading as an actual trading tool.
npx skills add https://github.com/ruvnet/ruflo --skill agent-trading-predictor