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 lower difficulty, lower drawdown pressure, and reliable public evidence.
User assumptions: All sizes, risk low, reset tolerance avoid, payout goal steady_payouts, trading frequency medium, news preference avoid_news, cost preference lower_total_friction.