Pay once with no recurring fees and keep 90% or more of your profits. The best value combination.
Ready public-evidence plans are sorted ahead of partial or unavailable plans when possible, and missing public fields cannot look favorable in the ranking.
Lower-confidence ranking: partial public evidence is labeled before comparison.
This ranking uses profit split with partial model inputs. Some model inputs are visible in ordinary public material, but one or more public fields are missing or unavailable.
Informational comparison from ordinary public product/help/rule material. Missing public values stay visible as blockers instead of being treated as neutral.
Primary model note: rankings prioritize rule-derived difficulty, economic friction, constraints, and trader fit from ordinary public product/rule evidence; EV/pass probability are secondary scenario comparison estimates.
Rule-derived ranking blocked by missing public fields: activation_fee, buffer_clearance_required, fee_monthly|fee_onetime, field_evidence_ledger, funded_monthly_fee, max_payout_per_request, min_payout_amount, min_profitable_days_before_payout, min_trading_days, payout_processing_time.
Lower-confidence ranking: partial public evidence is labeled before comparison.
This ranking uses profit split with partial model inputs. Some model inputs are visible in ordinary public material, but one or more public fields are missing or unavailable.
Informational comparison from ordinary public product/help/rule material. Missing public values stay visible as blockers instead of being treated as neutral.
Primary model note: rankings prioritize rule-derived difficulty, economic friction, constraints, and trader fit from ordinary public product/rule evidence; EV/pass probability are secondary scenario comparison estimates.
Rule-derived ranking blocked by missing public fields: buffer_clearance_required, field_evidence_ledger, funded_monthly_fee, max_payout_per_request, min_payout_amount, payout_cap_basis.
Lower-confidence ranking: partial public evidence is labeled before comparison.
This ranking uses profit split with partial model inputs. Some model inputs are visible in ordinary public material, but one or more public fields are missing or unavailable.
Informational comparison from ordinary public product/help/rule material. Missing public values stay visible as blockers instead of being treated as neutral.
Primary model note: rankings prioritize rule-derived difficulty, economic friction, constraints, and trader fit from ordinary public product/rule evidence; EV/pass probability are secondary scenario comparison estimates.
Rule-derived ranking blocked by missing public fields: activation_fee, buffer_clearance_required, consistency_progression, daily_loss_limit_dollars, drawdown_type, eval_price, failure_recovery_type, field_evidence_ledger, funded_monthly_fee, golden_fixture_public_evidence, live_transition_eligibility, max_drawdown_dollars, max_payout_per_request, min_payout_amount, min_profitable_days_before_payout, min_trading_days, payout_cap_basis, payout_cap_progression, payout_frequency, payout_processing_time, profit_split_pct, profit_target_dollars, repurchase_fee, reset_fee, safety_net_amount.
Lower-confidence ranking: partial public evidence is labeled before comparison.
This ranking uses profit split with partial model inputs. Some model inputs are visible in ordinary public material, but one or more public fields are missing or unavailable.
Informational comparison from ordinary public product/help/rule material. Missing public values stay visible as blockers instead of being treated as neutral.
Primary model note: rankings prioritize rule-derived difficulty, economic friction, constraints, and trader fit from ordinary public product/rule evidence; EV/pass probability are secondary scenario comparison estimates.
Rule-derived ranking blocked by missing public fields: capital_efficiency_score, fee_monthly|fee_onetime, field_evidence_ledger, max_loss_exposure_before_first_payout, min_profitable_days_before_payout, payout_cap_basis, payout_friction_score, time_to_first_payout_days, total_cost_to_first_payout.
Estimated ranking: assumption-based evidence is labeled before comparison.
This ranking uses profit split with partial model inputs. Some model inputs are visible in ordinary public material, but one or more public fields are missing or unavailable.
Informational comparison from ordinary public product/help/rule material. Missing public values stay visible as blockers instead of being treated as neutral.
Primary model note: rankings prioritize rule-derived difficulty, economic friction, constraints, and trader fit from ordinary public product/rule evidence; EV/pass probability are secondary scenario comparison estimates.
Rule-derived ranking blocked by missing public fields: buffer_clearance_required, funded_monthly_fee, max_payout_per_request, max_profit_split_pct, min_payout_amount, min_profitable_days_before_payout, payout_processing_time.
Estimated ranking: assumption-based evidence is labeled before comparison.
This ranking uses profit split with estimated model inputs. Numeric output can run, but at least one input is an explicit assumption or legacy fallback rather than confirmed ordinary public evidence.
Informational comparison from ordinary public product/help/rule material. Missing public values stay visible as blockers instead of being treated as neutral.
Primary model note: rankings prioritize rule-derived difficulty, economic friction, constraints, and trader fit from ordinary public product/rule evidence; EV/pass probability are secondary scenario comparison estimates.
Rule-derived ranking blocked by missing public fields: max_profit_split_pct.
One-time fee firms that currently pay 100% of at least some profits include Apex Trader Funding, DayTraders and Legends Trading.
You avoid recurring monthly costs and keep more of your profits. This maximizes your net return on the evaluation investment.
Not necessarily. Fee structure and drawdown are independent: compare each firm's drawdown type and amount in the list above.