The most affordable 25K prop firm evaluations — sorted by lowest fee to start trading.
Ready public-evidence plans are sorted ahead of partial or unavailable plans when possible, and missing public fields cannot look favorable in the ranking.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Some firms offer 25K evaluations for under $100, especially with active promo codes. One-time fee firms avoid recurring costs.
Absolutely. Compare drawdown rules, profit splits, and payout frequency alongside the price to find the best value.
Most prop firms offer promo codes that apply to all account sizes, often saving 20-50% on the evaluation fee.