Write mean-reversion instructions for an AI agent
Mean reversion requires a reason to expect a move to reverse, not just an observation that price has fallen or risen. DXAP lets you express that distinction in a strategy and inspect how the agent applied it.
Published by DXAP, a product of DX Research Group. Updated September 13, 2026.
Define the reference and the reason
Explain what the price is deviating from and why that reference remains relevant. A change in fundamentals or market regime can make an old reference misleading. Ask the agent to identify evidence that the apparent dislocation is actually a new condition.
Describe when the idea is invalid
Write down what would make the agent abandon the reversion thesis. Do not use repeated buying or selling as an implicit recovery rule. If you want constraints on assets or actions, review the relevant policy settings rather than relying on an aspirational sentence in the prompt.
Review the competing explanation
The most useful debrief may be why the agent rejected a reversal idea. Ask whether available news, liquidity or market context supported continuation instead. The illustrative wording below supplies a research process; it does not establish an edge or select a trade.
An instruction to adapt
Illustrative instruction: “When evaluating a possible reversal, identify the reference, explain why it remains relevant, and check whether new information justifies the move. Describe the strongest continuation case. Stay out if you cannot distinguish a dislocation from a changed market.”
Illustrative wording only. This page does not create an agent or configure its limits.
Questions about this workflow
Is every large price move a mean-reversion opportunity?
No. A move may reflect new information or a changed market. The instruction should require a reason for reversion.
Does this example configure automatic averaging down?
No. It describes an evaluation process and does not configure orders, sizing or a deployed strategy.
Read the product details
Run your strategy with DXAP
DXAP is a hosted AI trading agent platform for Hyperliquid traders who want to describe a strategy in plain language, set its limits and inspect its decisions.
No subscription or separate model bill. DXAP charges 2.5 bps (0.025%) on executed agent volume; Hyperliquid fees and funding are separate. Alpha access requires a referral code. The minimum is $10 USDC per agent, with no user paper mode.
Trading can lose money. Examples describe workflows, not expected returns.