Risk Controls

Risk Controls

AetherPro uses layered controls to shape how bots size, enter, hold, and exit. The point is to make the execution envelope explicit before capital is exposed.

Allocation controls

Allocations define how much of the portfolio is intended to be deployed per asset. They shape concentration, portfolio balance, and how much capital a bot can commit to a given market.

Target allocation

Guides sizing intent by asset so the portfolio stays aligned with the configured plan.

Asset-level configuration

Overrides let users tailor risk behavior for specific markets instead of relying on one flat profile.

Leverage controls

Bot-level leverage defines the intended leverage target for the strategy, while asset-level leverage values are used as caps. A cap is a ceiling, not an automatic leverage target.

Bot target leverageAsset leverage capMarket max leverageEffective leverage selected

Exit controls

Exit behavior can be shaped by signal logic, percent-based TP/SL logic, trailing behavior, and exchange-side safeguards. The exact configuration determines how aggressively a bot takes profit or cuts risk.

TP/SL handling

Configured exits create structure for how profits and losses are managed over the position lifecycle.

Trailing behavior

Trailing controls let the system adjust protection and capture favorable movement without relying on fixed values alone.

Exposure and safety rules

Risk controls are not only about exits. Entry gating, volatility checks, and portfolio-level constraints also determine whether the bot is allowed to act in the first place.

  • Maximum open positions limit how many separate assets can be deployed at once.
  • Volatility gates can block new entries when market conditions exceed the configured threshold.
  • Operational pre-checks can stop entries even when directional bias exists.

What risk controls do not eliminate

Risk controls reduce ambiguity and constrain behavior, but they do not remove slippage, execution failures, market gaps, or model error. Users should understand this before enabling live mode.

Controls reduce risk. They do not remove it.

The correct framing is operational discipline, not guaranteed protection. AetherPro helps users define the risk envelope clearly, but market risk remains real.

Related Pages

Before live execution

Review the full operating envelope

Users should understand allocations, leverage caps, and exit behavior before moving out of test mode.