Start trading funded for less than $100. The most affordable prop firm evaluations available right now.
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 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 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: 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: 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.
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.
Yes. Current evaluations under $100 are offered by Alpha Futures, Apex Trader Funding, DayTraders, Funded Futures Network, FundedNext Futures, Legends Trading and 5 more.
Current evaluations under $100 are for 25K, 50K, 100K, 150K and 300K accounts.
The low entry cost makes it easy to try multiple firms. Compare the rules and payout terms, not just the price.