Pre-trade context
Capture token context, thesis, setup type, sizing, and invalidation before the agent records a simulated action.
Use case
AI trading journal for paper-trading agents
Use Trading Boy to record paper-trading entries, exits, agent decisions, behavioral notes, and risk review so every trade becomes evidence for the next rule change.
Decision history
Review what the paper agent saw, why it acted, and how the decision matched or violated your intended rules.
Post-trade learning
Use daily review, behavioral analysis, and audit verification to turn repeated outcomes into better process notes.
| Journal command area | What it helps record | SEO-safe framing |
|---|---|---|
| Entry and exit logs | Paper trade thesis, result, and review notes | Journal evidence, not a signal feed. |
| Decision history | Agent reasoning and context | Transparency, not guaranteed correctness. |
| Behavioral analysis | Patterns, drift, and repeated mistakes | Process improvement, not financial advice. |
| Audit verification | Journal integrity and review trail | Trust and accountability for the workflow. |