Firms whose current published rules permit personal automated trading. Check each plan's bot, VPS and platform restrictions.
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 trader fit 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 trader fit 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.
Lower-confidence ranking: partial public evidence is labeled before comparison.
This ranking uses trader fit 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, 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.
Lower-confidence ranking: partial public evidence is labeled before comparison.
This ranking uses trader fit 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.
Lower-confidence ranking: partial public evidence is labeled before comparison.
This ranking uses trader fit 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, capital_efficiency_score, fee_monthly|fee_onetime, field_evidence_ledger, funded_monthly_fee, max_payout_per_request, max_profit_split_pct, min_payout_amount, min_profitable_days_before_payout, minimum_profit_before_first_payout, payout_frequency, payout_friction_score, payout_processing_time.
Unavailable public evidence is labeled before comparison.
This ranking uses trader fit 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: buffer_clearance_required, daily_loss_limit_dollars, 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_cap_basis, payout_processing_time.
Unavailable public evidence is labeled before comparison.
This ranking uses trader fit 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: buffer_clearance_required, daily_loss_limit_dollars, funded_monthly_fee, max_payout_per_request, min_payout_amount, min_profitable_days_before_payout, news_trading_allowed, payout_processing_time.
Some firms allow personal bots and automated strategies. Most prohibit HFT (high-frequency trading) and third-party commercial bots.
Current rules permit personal automation at Funded Futures Network, FundedNext Futures, Lucid Trading, Purdia Capital, Topstep, Trade Day and 1 more. Always verify the specific policy: some restrict VPS usage.