Core paper trading concepts
These pages explain where paper trading fits, how it differs from other evidence, and why simulated practice should not be treated as live proof.
Education directory
Trading education for paper-first review
Use this learning directory to understand the concepts around Trading Boy: paper trading, backtesting, forward testing, journal discipline, benchmark interpretation, and AI agent evaluation.
Journal discipline
These pages turn behavior and emotion into reviewable evidence. The goal is not to label a trader, but to identify repeated process failures.
Benchmarks and evaluation
These pages help readers interpret paper-agent results without overclaiming from small samples, simulated fills, or favorable market regimes.
- How to read a paper trading benchmark
- How to evaluate paper trading results
- Paper trading execution slippage review
- AI paper trading agent evaluation
- AI trading agent without live execution
- AI trading agent prompt versioning
- Paper trading results validation checklist
- Paper trading confidence review questions
- Leaderboard methodology
Example learning path
Question: A user wants to know whether a simulated AI agent is improving.
Path: They read paper trading, compare it with backtesting, inspect paper results evaluation, then use the benchmark review worksheet.
Decision: If the sample is too small, if behavior tags are missing, or if the result depends on one market regime, they collect more paper evidence instead of promoting the workflow.
How education links to the product
The learn pages support users before they click into a product workflow. They define terms, set expectations, and give users a reason to choose review discipline over a vague promise of automation.
Each page should connect back to a workflow, tool, template, or trust page. That keeps the educational surface practical and helps search engines understand that Trading Boy is about paper-mode process, not live trading claims.
Educational boundary
Trading Boy learn pages are product education for simulated workflows. They are not investment research, financial advice, live trade recommendations, or guarantees of future results.
FAQ
What should I learn first?
Start with the paper trading hub, then compare paper trading with backtesting, forward testing, and live trading.
Why include journal psychology pages?
Because paper trading is only useful when it records behavior and process, not just simulated PnL.
Are these pages financial advice?
No. They are educational resources for simulated review workflows.