Bots

Automated strategies with published mandates and hard limits.

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.

Strategy families

Representative sandbox mandates. Live strategies are onboarded through the operator console with full documentation.

StrategyEngineHorizonRisk bandMandate
Liquidity / market makingHummingbot fleetIntradayLow–moderateQuotes two-sided spreads on deep pairs with inventory skew and hard exposure caps.
Cross-venue basisPython engineDaysLowCaptures spot–perp funding spreads with delta-neutral construction.
Trend / momentumPython engineWeeksModerate–highSystematic breakout sizing with volatility targeting and trailing stops.
Mean reversionHummingbot fleetHoursModerateFades short-term dislocations within a bounded inventory band.

Controls around every bot

Capacity limits

Every strategy publishes an AUM ceiling. Allocations stop when capacity is reached rather than degrading fills.

Kill switches

Operators can halt a single bot, a strategy family, or all execution instantly. Open orders are cancelled first.

Drawdown policy

Breaching a strategy's stated maximum drawdown de-risks it automatically and notifies allocated clients.

Heartbeat monitoring

Bots report liveness. A missed heartbeat pauses new orders and raises an operator alert.

Engine-agnostic

Hummingbot, an internal Python engine or an institutional exchange account all speak the same execution interface.

Model cards

Mandate, instruments, sizing logic, expected turnover and stress behaviour are documented before a bot accepts capital.

See the strategy marketplace

Sign in to the sandbox to review mandates, capacity and simulated performance, then allocate test capital.