Map the challenge rules
Each prop firm challenge is normalized by phases, targets, drawdown type, minimum days, account sizes, fees, and payout terms.
Compare approval probability, passing speed, entry fees, drawdown pressure and challenge difficulty before you commit to a test.
PropQuant turns your trading assumptions into comparable approval, speed, difficulty, and cost metrics across the catalog.
Each prop firm challenge is normalized by phases, targets, drawdown type, minimum days, account sizes, fees, and payout terms.
Win rate, reward-to-risk, risk per trade, trading frequency, slippage, spread cost, and realism settings define the simulation behavior.
The engine generates many possible equity paths, checks every path against challenge constraints, and records passes, failures, drawdowns, and days to pass.
Results combine approval probability, approval speed, and test price so strong rules do not automatically dominate when the entry cost is poor.
The model is built for comparison and decision support, not guarantees. These answers explain what the numbers mean.
No. Approval probability is an estimate from simulated paths based on the strategy inputs and the challenge rules. It is useful for comparing challenges, but real execution can differ.
When rules are percentage-based, the approval profile is usually the same across account sizes. PropQuant ranks the challenge rule set and keeps account sizes inside the result.
Difficulty summarizes rule pressure from targets, drawdown limits, number of phases, time constraints, and trading restrictions. Higher values mean the rule set leaves less room for error.
Price changes the risk-reward of attempting a challenge. The composite score balances approval probability, approval speed, and cost so the ranking reflects value instead of only the easiest rules.
Review risk per trade, trade frequency, slippage, and spread assumptions first. Small execution costs or oversized risk can sharply reduce approval probability under strict drawdown rules.