AI Trading Agent Watchlist Prompt

Paper-first boundary

Trading Boy does not execute live trades, hold funds, or provide financial advice. This page is for simulated paper-trading review, prompt design, journal structure, and human review. It is not a signal feed, broker instruction, or promise of live trading results.

When to use this page

Use it when an AI paper agent needs a narrow crypto watchlist with visible inclusion and exclusion rules.

The search intent behind how to write an AI trading agent watchlist prompt is usually practical: the user wants a reusable asset, an example, and a checklist. This page treats those variants as one owner page rather than splitting guide, example, checklist, and template into thin sibling pages.

Use the asset only after the paper-trading workflow, prompt version, permission boundary, and journal output format are clear. If the user cannot identify the setup, invalidation, risk field, or review question, the next action should be a skip, caveat, or human review rather than a confident simulated entry.

Watchlist prompt table

Review field	Pass condition	Paper-mode boundary
Universe rule	Defines which symbols can be reviewed and why.	The agent cannot add a new token because it is trending.
Liquidity caveat	Requires a liquidity and spread note for paper assumptions.	Thin symbols are excluded or caveated.
Data freshness	Marks stale data and missing candles before output.	Stale data creates a skip, not a confident entry.
Rotation logic	Explains how symbols enter or leave the watchlist.	Changes are versioned and not retroactive.
Review link	Connects watchlist notes to the paper journal.	The watchlist is evidence, not a recommendation list.

Reusable prompt or worksheet text

Role: You are helping organize a simulated paper-trading review. You may summarize context, apply written rules, identify missing fields, and prepare journal evidence. You may not route live trades, request secrets, or provide financial advice.

Required output: Decision type, setup name, rule version, thesis, invalidation, paper risk, data caveat, behavior tag, and one human review question.

Skip rule: If setup, invalidation, paper risk, or data quality is missing, produce a skip or excluded row. Do not invent the missing field to make the record look complete.

Review handoff: Send the output to the paper journal, evaluation checklist, or human review checklist. Choose one next paper-mode action: collect more samples, tighten one field, pause, or revert a prompt change.

Example paper workflow

Scenario: The agent reviews a five-symbol watchlist. One token has stale market data and another falls outside the liquidity rule. The prompt forces both to be excluded before the agent evaluates the remaining paper setups.

Good output: The watchlist output explains why each symbol is included, excluded, or delayed for review.

Weak output: The agent adds a volatile token without recording why it belongs in the sample.

Decision: The reviewer keeps the evidence in paper mode, checks the output with the AI paper trading agent evaluation checklist, and records any prompt change in AI trading agent prompt versioning.

Use it with these controls

Prompt version: every sample should name the version that produced the output.
Output format: the agent should use consistent fields for entries, exits, skips, and missed setups.
Risk gate: size, exposure, drawdown, stop distance, and pause rules should be checked before judging the idea.
Human review: a person should approve prompt, risk, or workflow changes before the next sample.
Data privacy: private exchange credentials, account identifiers, and secret values should stay out of prompts and screenshots.

How it supports ranking

This owner page consolidates the guide, example, template, checklist, and for-paper-trading variants into one durable page. That gives searchers a complete answer without flooding the sitemap with near duplicates.

It also links into the surrounding Trading Boy system: paper-trading hub, AI paper agent, prompt template, output format, risk controls, permission boundaries, and paper-trading limitations.

Related AI paper-agent pages

Use these links to move between setup, output, risk, journal, and review pages without leaving the paper-first cluster.

AI Trading Agent Watchlist Prompt FAQ

Why define watchlist rules for an AI trading agent?

A watchlist prompt prevents the paper sample from drifting across unrelated symbols and market conditions.

Should a watchlist prompt recommend tokens?

No. It should define review eligibility for paper trading, not recommend assets.

How often should watchlist prompts change?

Change them only through a versioned review, not after one good or bad simulated result.