Get tier/path-first recommendations using ordinary public product and rule evidence, explicit user assumptions, rule-derived difficulty, and economic friction.
Rank specific account tiers and funded paths by public-rule fit. Assumptions are visible and expected value stays a secondary comparison estimate.
Recommendations use ordinary public product/rule evidence where available. Missing public evidence cannot improve fit; it appears as a blocker.
Prioritizes forgiving rule mechanics and lower lifecycle friction for lower-frequency trading.
User assumptions: All sizes, risk medium, reset tolerance moderate, payout goal steady_payouts, trading frequency low, news preference flexible, cost preference lower_total_friction.