Trading bots: what the data says
Exchanges list every bot type with zero performance numbers. We replayed them out-of-sample with real fees and slippage. Below: each type, where it exists, and our verdict — including the negative ones and an honest “untested” where we have no study yet.
Our alternative is boring on purpose.
Presets that survived out-of-sample testing, running on a public paper track — losing streaks included — plus the optimizer that produced them. Try any of it with $0 at risk on the 虚拟地板, and check what the trades would cost on the 费用页面 first. Prefer to see the tiers first? They are on the demo hub, Money 按钮.
Method in one line: in-sample optimization is easy, so we only trust out-of-sample results with real fee and slippage models — and we publish the failures. The full pipeline is documented in the research journey. Nothing here is investment advice.