Run your trading bot without breaking the bank. Prop firms that allow automation and charge under $200.
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: 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: 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 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, 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 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, 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 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, 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 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: 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 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: 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.
Firms that allow personal automation and have evaluations under $200 include Funded Futures Network, FundedNext Futures, Lucid Trading, Purdia Capital, Topstep, Trade Day and 1 more.
Yes, firms on Rithmic or Tradovate platforms support NinjaTrader strategies. Verify the firm allows automated trading before running your bot.
Most firms prohibit HFT, third-party commercial bots, and cross-account manipulation. Personal bots running your own strategy are typically fine.