The top prop firms with 150K funded accounts — higher buying power, more contracts, and larger payouts.
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 topic metric 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 topic metric 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 topic metric 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, max_payout_per_request, payout_cap_basis, payout_pct_of_balance.
Lower-confidence ranking: partial public evidence is labeled before comparison.
This ranking uses topic metric 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: daily_loss_limit_dollars, max_payout_per_request, min_profitable_days_before_payout, payout_cap_basis, unsourced_family_economics.
Estimated ranking: assumption-based evidence is labeled before comparison.
This ranking uses topic metric 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: fee_monthly|fee_onetime.
Estimated ranking: assumption-based evidence is labeled before comparison.
This ranking uses topic metric 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, fee_monthly|fee_onetime, funded_monthly_fee, max_payout_per_request, min_payout_amount, min_profitable_days_before_payout, payout_processing_time.
Estimated ranking: assumption-based evidence is labeled before comparison.
This ranking uses topic metric 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, fee_monthly|fee_onetime, funded_monthly_fee, max_payout_per_request, min_payout_amount, min_profitable_days_before_payout, min_trading_days, payout_cap_basis, payout_processing_time.
Estimated ranking: assumption-based evidence is labeled before comparison.
This ranking uses topic metric 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, funded_monthly_fee, max_payout_per_request, min_payout_amount, min_profitable_days_before_payout, payout_processing_time.
Estimated ranking: assumption-based evidence is labeled before comparison.
This ranking uses topic metric 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, funded_monthly_fee, max_payout_per_request, min_payout_amount, min_profitable_days_before_payout, payout_processing_time.
Estimated ranking: assumption-based evidence is labeled before comparison.
This ranking uses topic metric 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, funded_monthly_fee, min_payout_amount, min_profitable_days_before_payout, payout_cadence, payout_cap_basis, payout_processing_time.
Estimated ranking: assumption-based evidence is labeled before comparison.
This ranking uses topic metric 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.
Unavailable public evidence is labeled before comparison.
This ranking uses topic metric with unavailable model inputs. Required model inputs are unavailable from ordinary public material, so this output should not be used for ranking or scenario decisions.
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.
This product has multiple funded outcomes. Rankings stay labeled until a visible public funded path is selected.
Unavailable public evidence is labeled before comparison.
This ranking uses topic metric with unavailable model inputs. Required model inputs are unavailable from ordinary public material, so this output should not be used for ranking or scenario decisions.
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: fee_onetime.
150K evaluation fees currently range from $60 one-time to $477/month across 13 firms. One-time fee firms tend to be cheaper long-term if you need extra time.
Contract limits vary by firm but typically range from 10-15 standard (mini) contracts on a 150K account.
If you can trade larger size profitably, 150K accounts earn more per payout. The higher fee is offset by greater earning potential.