R-Multiple
Profit or loss relative to initial trade risk.
The current goal is to build enough evidence to know which rules help, which rules hurt and what level of risk is actually tolerable before Tradinator is treated like a finished commercial product.
The Live Lab is built around normalized performance and decision quality so account size or execution environment does not become the story.
Profit or loss relative to initial trade risk.
Peak-to-trough damage and recovery time.
Win rate combined with average win and loss size.
How long growth takes at each risk profile.
Consecutive wins and losses that test survivability.
Whether filters prevented damage or blocked opportunity.
Performance by hour, session and day of week.
What changed after each strategy or risk-rule revision.
Safety, Balanced and Growth profiles receive the same strategy result so we can see what leverage does to doubling speed, drawdown and failure risk.
Lower risk per trade to establish a survivable baseline.
Moderate risk intended to balance growth against drawdown.
Higher risk exposes whether faster growth is worth the additional volatility and failure rate.
Let the engine run without cherry-picking. Record WAITs and rejected entries as carefully as winners.
Re-run past market conditions against newer rules to see whether an improvement generalizes or simply fits recent trades.
Whenever practical, alter one threshold or management rule at a time so the reason for a performance change stays identifiable.
Automation and capital exposure should increase only after defined evidence gates are met - not because a short winning streak feels convincing.
For now it exists primarily so we can see whether Tradinator is getting better.