Prop firm challenge rules, pass odds from your own trades, fees and rule changes. No affiliates.
Scored across 13 tools
Most tools have clearly distinct purposes (rule lookup vs. price history vs. rule changes vs. live tracking), and the simulation cluster is mostly separated by input type (test_stats uses headline numbers, test_trades uses real trades, sample_traders uses canned styles). However, five or six tools return overlapping metrics (pass chance, first-payout chance) with subtly different levers (size, daily stop, funded aftermath), so an agent could easily pick find_best_size when fix_strategy or test_trades was intended.
Nearly all names are snake_case with a verb_noun structure (check_overlap, compare_challenges, find_best_size, get_challenge, list_challenges, test_trades, track_account). A few deviate into noun phrases (funded_life, price_history, rule_changes), which is a minor inconsistency but still readable and predictable.
13 tools sit comfortably in the well-scoped range, and each one maps to a distinct workflow stage: discovery, rules/price monitoring, simulation, optimization, and live tracking. No obvious filler tools.
The surface covers discovery (list_challenges, get_challenge), market monitoring (price_history, rule_changes), simulation and optimization (test_trades, test_stats, sample_traders, find_best_size, fix_strategy, funded_life, check_overlap), and live tracking (track_account). Minor gaps exist: no explicit firm-level listing beyond challenge filters, and no way to save/export a chosen plan or guard configuration back to the service.
For a trader running two to five strategies on the same account. Merges their trades by date and reports how often they trade and lose on the same day, the worst day together against alone, whether they tend to win and lose together, and the odds together against each strategy alone on up to three accounts. Every trade needs a close date. Each strategy's profits are scaled from its own starting balance.
Inputs: strategies (required), challenge_ids.
Puts two to six accounts side by side, rule by rule, and marks the rules that differ.
Inputs: ids (required).
Runs the same trades (or headline numbers) at eight trade sizes, from a quarter to three times, against up to three accounts, and shows the pass and first-payout chance at each with the best size marked. Answers "should I risk less or more per trade on this challenge?". Give trades with starting_balance, or the four headline numbers.
Inputs: challenge_ids (required), trades, win_rate, reward_to_risk, +3 more.
Retests a trader's own closed trades on up to three accounts with a daily stop at several levels and with a cap of one to three trades a day (guards the PropPassCheck strategy builder can add to an EA, or a trader can follow by hand), and reports the one that lifts the chance of passing (or of a first payout on instant accounts) the most, with how much and a link to build it. Needs real trades with starting_balance; give dates when known so each day's trades stay together.
Inputs: trades (required), challenge_ids (required), starting_balance (required), scale, +1 more.
For up to five accounts: the chance of getting funded, then what the funded account does over its first six months (126 trading days): payouts on average, money to the trader after the split, how soon the first payout comes, how many funded accounts are lost, and what one attempt is worth counting those payouts. Each payout follows the account's rules; after a payout the profit comes out and the account carries on from its starting balance. Give trades with starting_balance, or the four headline numbers.
Inputs: challenge_ids (required), trades, win_rate, reward_to_risk, +3 more.
Full rules for one account: profit targets, daily and maximum loss, drawdown type, minimum days, time limit, consistency rule, payout terms, trading restrictions on record (news, weekends, open losses, short trades), price, the firm's source page, the date checked, recent rule changes and any proof-checked payout reports for the firm. Takes a PropPassCheck account id.
Inputs: id (required).
Lists the prop firm accounts PropPassCheck tracks (evaluation challenges and instant funding), each with its id, targets, loss limits, price and the date the rules were last checked. Filter by firm, account type, market, drawdown type, price and the rules a trading style needs (no daily loss limit, no consistency rule, weekend holding, news trading).
Inputs: firm, type, market, drawdown, +5 more.
List prices with the date tracking began, the lowest list price in the last 30 days and every price change the firm made. Name challenge ids or a firm, or leave both out for every account whose list price changed in the last 90 days. List prices only: PropPassCheck does not track discount codes or use affiliate links.
Inputs: firm, challenge_ids.
Changes PropPassCheck has recorded to prop firms' rules, newest first: targets, loss limits, drawdown type, consistency rules, payouts, splits and prices, with the old and new value and whether the change is better or worse for traders. Filter by firm.
Inputs: firm, limit.
Eleven sample traders (breakout, trend following, mean reversion, scalping, swing trading, opening range breakout, day trading, high win rate, low win rate, position trading, and a grid sample with no edge) replayed 1,000 times against each account's rules: pass and first-payout chance, best risk per trade, typical days and the usual reason for failing. Give id for every style on one account, or style for the accounts where that style does best. They show how rules treat a style, not anyone's own odds.
Inputs: id, style.
For a trader with no trade list: estimates the chance of passing, the chance of a first payout and the likely fees per payout from a win rate, reward-to-risk, risk per trade and trades per day. It treats every win and every loss as the same size and every day as alike, so it is rougher than a test of real trades and usually a little optimistic.
Inputs: win_rate (required), reward_to_risk (required), risk_per_trade (required), trades_per_day (required), +2 more.
Replays a list of closed trades 1,000 times against prop firm challenge rules and returns, per account: the chance of passing, the chance of reaching a first payout, the usual number of trading days, why failed attempts failed, the average number of attempts, and the likely fees per first payout with the funded profit needed to win them back. Give every closed trade's profit or loss in money and the starting balance of the test. Include each trade's close date when known, so busy and quiet days are kept as they happened. Name up to 10 challenge ids, or a firm, or leave both out to rank every account. Needs real closed trades, not figures made up from a win rate.
Inputs: trades (required), starting_balance (required), firm, scale, +2 more.
For a trader on a live account: from the trade history since the account started, how far the balance is above the maximum-loss floor (static or trailing), what is left of today's daily loss limit and the balance to stop at, progress to the profit target or a payout, the consistency rule and the day counts, with a status. Every trade needs a YYYY-MM-DD close date. Closed trades only: open trades also count at most firms, and the firm's own dashboard is what counts.
Inputs: trades (required), challenge_id (required), starting_balance (required), stage, +2 more.
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