Before the paper trade
Review whether the setup matches the agent rules, whether sizing stays inside limits, and whether the expected invalidation is clear.
Trust
Risk controls and review loop
Trading Boy treats risk controls as a review system: define rules, run paper trades, inspect decisions, and tighten behavior with evidence.
| Control | What it reviews | Why it matters |
|---|---|---|
| Position size | Maximum exposure per idea or token | Prevents one paper setup from dominating the review set. |
| Drawdown | Loss from peak paper equity | Shows whether the workflow behaves differently during adverse conditions. |
| Trade frequency | How often an agent acts | Helps detect overtrading, stale rules, and weak selectivity. |
| Decision rationale | Inputs, thesis, and constraints used by the agent | Makes the agent reviewable instead of a black box. |
After the paper trade
Review what happened, whether the thesis held, what the agent missed, and whether the rule should be refined or left alone.
Review fields that make risk visible
A paper-trading review is only useful when the risk context is visible in the raw decision record. These fields make a simulated agent easier to audit after the fact.
- Setup: the market condition, token, timeframe, and rule that justified the paper trade.
- Size: intended paper risk, maximum exposure, and whether the sizing rule was followed.
- Invalidation: the condition that would make the original thesis wrong.
- Exit review: whether the paper exit matched the plan, reacted to noise, or missed a predefined risk limit.
- Next action: one specific rule, checklist, or persona adjustment to test in future paper trades.
How this connects to tools
Use the position size calculator, risk-reward calculator, and maximum drawdown calculator to make risk assumptions explicit before comparing paper results.
How this connects to journals
Use the paper trading journal template and trading feedback loop to turn risk-control failures into testable workflow changes.
Risk copy boundary
Risk controls reduce ambiguity in a paper-trading review. They do not remove market risk, guarantee future performance, or turn simulated results into financial advice.