Capacity limits
Every strategy publishes an AUM ceiling. Allocations stop when capacity is reached rather than degrading fills.
Capital. In Motion.
Bots
You allocate capital to a strategy, not to a black box. Each bot states what it trades, how much it can hold, when it stops, and who can turn it off.
Representative sandbox mandates. Live strategies are onboarded through the operator console with full documentation.
| Strategy | Engine | Horizon | Risk band | Mandate |
|---|---|---|---|---|
| Liquidity / market making | Hummingbot fleet | Intraday | Low–moderate | Quotes two-sided spreads on deep pairs with inventory skew and hard exposure caps. |
| Cross-venue basis | Python engine | Days | Low | Captures spot–perp funding spreads with delta-neutral construction. |
| Trend / momentum | Python engine | Weeks | Moderate–high | Systematic breakout sizing with volatility targeting and trailing stops. |
| Mean reversion | Hummingbot fleet | Hours | Moderate | Fades short-term dislocations within a bounded inventory band. |
Every strategy publishes an AUM ceiling. Allocations stop when capacity is reached rather than degrading fills.
Operators can halt a single bot, a strategy family, or all execution instantly. Open orders are cancelled first.
Breaching a strategy's stated maximum drawdown de-risks it automatically and notifies allocated clients.
Bots report liveness. A missed heartbeat pauses new orders and raises an operator alert.
Hummingbot, an internal Python engine or an institutional exchange account all speak the same execution interface.
Mandate, instruments, sizing logic, expected turnover and stress behaviour are documented before a bot accepts capital.
Sign in to the sandbox to review mandates, capacity and simulated performance, then allocate test capital.