How to Design an EVM DCA and Grid Bot with Hard Risk Controls
On-chain DCA and grid automation needs persistent state, gas-aware execution and bounded custody rather than a cron job that submits swaps.
On-chain DCA and grid automation needs persistent state, gas-aware execution and bounded custody rather than a cron job that submits swaps.
Encode assumptions
DCA needs total budget, schedule and stop conditions. A grid needs boundaries, spacing, inventory allocation and an out-of-range policy. Automatic recentering requires its own risk budget.
Persistent state
Store strategy status, remaining budget, filled levels, balances and pending hashes. Reconcile receipts after restart before making a new decision. Mark a grid level pending to prevent duplicate boundary trades.
Price and gas
Compare an independent oracle with executable router output. Reject excessive deviation, impact and slippage. Enforce maximum gas as a percentage of order size and limit how long a DCA slice may defer.
Custody limits
Separate execution funds from treasury, prefer bounded approvals and keep keys outside code. Enforce allocation, daily volume, drawdown, pending-age and emergency-stop limits.
Build a controlled EVM DCA or grid bot with a live dashboard.
Building this for production?
We turn this architecture into tested, non-custodial software with monitoring, documentation and deployment support.
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