An AI trading bot and a quantitative trading system are not mutually exclusive categories. A bot is software that automates activity; a quantitative system describes the research and decision process behind that activity. A bot can be the execution component of a sophisticated quantitative strategy.
The useful comparison is the complete process
A basic bot might implement a fixed rule, such as placing orders when an indicator crosses a threshold. A more extensive system also specifies how signals are researched, which market conditions permit a trade, how exposure is controlled and how the results are evaluated.
Adding a language model does not automatically provide those missing components. Equally, using a simple rule does not automatically make a strategy ineffective. The evidence matters more than the label.
Where AlphaNet fits
AlphaNet presents its product as a connected research, strategy, risk and execution stack. Its blog separates general-purpose AI-agent reasoning from the systematic machinery required to manage trades.
The questions to compare are practical: What generates the signal? What limits losses? What happens when the model is wrong? Are results live, simulated or backtested? A clear answer to each is more informative than a claim that a product is “AI-powered.”