Agent and review
Start here when the search intent is about creating a simulated agent and judging whether it follows written rules.
Use-case directory
Paper-first AI trading use cases
Use this directory to choose the Trading Boy page that matches your intent: building an AI paper-trading agent, keeping a journal, practicing crypto workflows, routing Telegram alerts, using a CLI, or reviewing risk before any live-capital discussion.
Journal and behavior
Use these pages when the useful output is a record of thesis, invalidation, behavior tags, and one next process action.
Crypto, alerts, and CLI
These pages handle narrower product intent around crypto paper practice, Telegram notifications, and command-line review workflows.
Choose the right use-case owner
| Search intent | Best owner page | Why |
|---|---|---|
| Build an AI agent safely in simulated mode | AI paper trading agent | It owns the product wedge and keeps paper trading in the first screen. |
| Track decisions and review outcomes | AI trading journal | It connects agent notes, thesis, behavior tags, and post-trade review. |
| Practice crypto-specific workflows | Crypto paper trading workflow | It gives token context without drifting into signal or guaranteed-return language. |
| Practice crypto without exchange-key custody | Crypto paper trading without exchange keys | It covers security-sensitive paper practice without implying live execution. |
| Choose which crypto markets are eligible for practice | Crypto paper trading watchlist rules | It keeps token selection framed as a simulated review rule, not a recommendation. |
| Receive notifications without treating them as signals | Telegram paper trading alerts | It frames alerts as workflow prompts and review reminders. |
| Run review from a terminal | Crypto trading CLI | It serves developer and operator intent with docs-adjacent examples. |
Example use-case path
Starting point: A trader wants an AI assistant to practice a crypto breakout workflow without placing live trades.
Page path: They start on AI paper trading agent, define rules with agent rules, use crypto paper trading workflow, and record each decision in the AI trading journal.
Review output: The simulated result is reviewed against thesis, invalidation, risk, and rule fit. The next action changes one rule or collects more samples.
Safety boundary
Trading Boy use-case pages describe simulated practice workflows. They do not promise performance, execute live trades, custody funds, provide investment advice, or convert a paper result into a live trading recommendation.
That boundary is part of the SEO architecture. It keeps automation language attached to paper trading, then routes users toward paper-trading limitations, risk controls, and the post-trade review workflow.
FAQ
What use case should I start with?
Start with AI paper trading agent if you are evaluating the product. Move to journal, crypto workflow, Telegram alerts, CLI, or risk management when your intent becomes more specific.
Are these use cases for live trading?
No. They describe paper-trading workflows for simulated decisions, review, journaling, alerts, and risk checks.
Why have a use-case directory?
It helps users and crawlers understand which page owns each search intent, reducing cannibalization between the AI agent, journal, workflow, and tool clusters.