Best for Scalpers

This ranking uses Scalper Score with ready model inputs. All required model inputs are supported by ordinary public product/help/rule material or derived directly from it.

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.

This ranking uses Scalper Score with ready model inputs. All required model inputs are supported by ordinary public product/help/rule material or derived directly from it.

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.

This ranking uses Scalper Score with ready model inputs. All required model inputs are supported by ordinary public product/help/rule material or derived directly from it.

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.

This ranking uses Scalper Score with ready model inputs. All required model inputs are supported by ordinary public product/help/rule material or derived directly from it.

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: min_profitable_days_before_payout.

This ranking uses Scalper Score 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, funded_monthly_fee, live_transition_eligibility, max_drawdown_dollars, max_payout_per_request, min_payout_amount, min_profitable_days_before_payout, min_trading_days, payout_cap_progression, payout_frequency, payout_processing_time, profit_split_pct, profit_target_dollars, repurchase_fee, reset_fee, safety_net_amount.

This ranking uses Scalper Score 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: payout_processing_time.

This ranking uses Scalper Score with assumption-based 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: daily_loss_limit_dollars, drawdown_type, funded_monthly_fee, news_trading_allowed.

This ranking uses Scalper Score with assumption-based 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: daily_loss_limit_dollars, drawdown_type, news_trading_allowed.

This ranking uses Scalper Score with assumption-based 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: activation_fee, buffer_clearance_required, daily_loss_limit_dollars, drawdown_type, fee_monthly|fee_onetime, funded_monthly_fee, max_payout_per_request, min_payout_amount, min_profitable_days_before_payout, min_trading_days, news_trading_allowed, payout_processing_time.

This ranking uses Scalper Score with assumption-based 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: activation_fee, buffer_clearance_required, daily_loss_limit_dollars, drawdown_type, funded_monthly_fee, max_payout_per_request, min_payout_amount, min_profitable_days_before_payout, min_trading_days, news_trading_allowed, payout_processing_time.

This ranking uses Scalper Score with assumption-based 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: activation_fee, buffer_clearance_required, daily_loss_limit_dollars, drawdown_type, funded_monthly_fee, max_payout_per_request, min_payout_amount, min_profitable_days_before_payout, min_trading_days, news_trading_allowed, payout_processing_time.

This ranking uses Scalper Score with assumption-based 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: activation_fee, buffer_clearance_required, fee_monthly|fee_onetime, funded_monthly_fee, max_payout_per_request, min_payout_amount, min_profitable_days_before_payout, news_trading_allowed, payout_processing_time.

This ranking uses Scalper Score 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, daily_loss_limit_dollars, drawdown_type, funded_monthly_fee, max_payout_per_request, min_payout_amount, min_profitable_days_before_payout, news_trading_allowed, payout_processing_time.