AI Paper Trading System 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 before any persona, watchlist, or setup-specific prompt so the agent has a stable paper-only operating frame.

The search intent behind how to write an AI paper trading system 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.

System prompt contract

Review field	Pass condition	Paper-mode boundary
Paper scope	States that the agent reviews simulated decisions only.	It cannot route live orders, transfer funds, or present output as advice.
Inputs allowed	Names permitted inputs such as market context, written rules, and sanitized journal rows.	Private credentials and account secrets stay out of prompts.
Output standard	Requires setup, thesis, invalidation, paper risk, skip reason, and review question.	Incomplete fields become a skip or excluded sample.
Review cadence	Defines when samples are reviewed and when prompt changes are allowed.	No prompt change happens after seeing one attractive result.
Safety language	Keeps paper mode, uncertainty, and human review visible.	The prompt never promises returns or live readiness.

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: A trader wants one reusable agent frame for BTC and ETH paper reviews. The system prompt says the agent can summarize context, apply written paper rules, log simulated decisions, and ask one review question. It also says the agent must skip when invalidation, risk, or data freshness is missing.

Good output: The agent refuses to produce a paper entry when the prompt lacks invalidation and instead asks for the missing field.

Weak output: The agent says the setup looks promising without naming the rule version, risk limit, or review question.

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 Paper Trading System Prompt FAQ

What should an AI paper trading system prompt include?

It should include paper-only scope, allowed inputs, required output fields, risk boundaries, skipped-condition rules, and human review requirements.

Can a system prompt make an AI trading agent safe for live trading?

No. A system prompt can narrow behavior for paper review, but it cannot validate live execution, strategy quality, or suitability.

Should API keys be included in the system prompt?

No. API keys, secret keys, seed phrases, and private account identifiers should not appear in prompts or examples.