No DLL means no per-day cap on losses. These prop firms only enforce the trailing or static max drawdown.
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 drawdown evidence 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: drawdown_type, max_drawdown_dollars.
This ranking uses drawdown evidence 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: drawdown_type, max_drawdown_dollars.
This ranking uses drawdown evidence 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: drawdown_type, max_drawdown_dollars.
This ranking uses drawdown evidence 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: drawdown_type, max_drawdown_dollars.
This ranking uses drawdown evidence 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: drawdown_type, max_drawdown_dollars.
This ranking uses drawdown evidence 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: drawdown_type, max_drawdown_dollars.
This ranking uses drawdown evidence 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: drawdown_type, max_drawdown_dollars.
This ranking uses drawdown evidence 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: drawdown_type, max_drawdown_dollars.
This ranking uses drawdown evidence 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: drawdown_type, max_drawdown_dollars.
This ranking uses drawdown evidence 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: drawdown_type, max_drawdown_dollars.
This ranking uses drawdown evidence 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: drawdown_type, max_drawdown_dollars.
This ranking uses drawdown evidence 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: drawdown_type, max_drawdown_dollars.
This ranking uses drawdown evidence 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: drawdown_type, max_drawdown_dollars.
A daily loss limit (DLL) caps how much you can lose in a single day. Exceeding it can lock your account for the day or terminate it entirely.
Several firms remove the DLL on evaluation tiers, relying solely on the max drawdown. This gives more flexibility on volatile trading days.
It depends on your style. No DLL gives freedom on bad days, but means a single day can consume your entire drawdown if you're not careful.