# Grid Trader

Passive, structure-based liquidity strategy.

## Best used when
- price is range-bound or choppy
- volatility is low to moderate
- liquidity is decent
- Hermes wants to harvest mean reversion inside a structure

## Avoid when
- trend is strong and persistent
- event risk is high
- liquidity is thin or chaotic
- execution quality is poor

## Core parameters
- `grid_levels`: number of orders per side
- `grid_step_pct`: spacing between levels
- `recenter_pct`: when to rebuild the grid
- `volatility_timeframe`: timeframe used for adaptive sizing
- `max_notional_per_order`: per-order cap
- `fee_rate`: fallback fee assumption

## Hermes policy mapping
- `risk_posture` adjusts grid spacing, levels, and recentering
- `priority` adjusts aggressiveness and order cadence

## Notes
- The strategy does not decide regime fit itself.
- Hermes decides activation.
- Trader applies policy on reconcile.
- `report().supervision` is descriptive, not imperative.
- `side_capacity` and `inventory_pressure` describe the grid's current shape.
- ordinary directional conditions alone should not force a rebuild or switch.