Prop Firm Challenge Calculator
Calculate required daily profit targets and maximum daily/total drawdown for FTMO, MFF, and others.
Calculator
Adjust values & calculateRisk per Trade Analysis
Winning Trades Needed to Pass
| RR Ratio | 0.5% Risk | 1% Risk | 2% Risk |
|---|---|---|---|
| 1:1 | 16 trades | 8 trades | 4 trades |
| 1.5:1 | 11 trades | 6 trades | 3 trades |
| 2:1 | 8 trades | 4 trades | 2 trades |
| 3:1 | 6 trades | 3 trades | 2 trades |
| 5:1 | 4 trades | 2 trades | 1 trades |
Formula
The daily target divides the total profit target evenly across available trading days. Risk per trade is calculated as a percentage of the account. Trades needed is determined by dividing the target amount by the profit per winning trade (risk amount × RR ratio). This helps you plan a realistic path to passing your challenge.
Last reviewed: December 2025
Worked Examples
Example 1: $100K FTMO Challenge Plan
Example 2: $50K Account — Conservative Plan
Background & Theory
The Prop Firm Challenge Calculator applies the following established principles and formulas. Foreign exchange markets facilitate the conversion of one currency into another and serve as the largest and most liquid financial markets in the world, with daily turnover exceeding seven trillion US dollars. Exchange rates are quoted as currency pairs, expressing the price of one unit of a base currency in terms of a quote currency. For example, a EUR/USD rate of 1.0850 means one euro buys 1.0850 US dollars. The smallest standardized price movement in most pairs is the pip, typically the fourth decimal place, with a value of 0.0001 per unit for USD-denominated pairs. The bid price is the rate at which a dealer will buy the base currency, while the ask price is the rate at which it will sell. The spread between bid and ask represents the dealer's compensation and varies with liquidity and volatility. Leverage amplifies both gains and losses by allowing traders to control positions larger than their deposited margin. A 100:1 leverage ratio means a one-percent adverse move eliminates the entire margin, making position sizing and risk management critical. Two parity conditions from international economics anchor exchange rate theory. Purchasing Power Parity (PPP) holds that exchange rates should adjust over time so that identical goods trade at equivalent prices across countries: S = P_d / P_f, where S is the spot rate and P_d and P_f are domestic and foreign price levels. PPP performs well over long horizons but poorly in the short run due to trade barriers, non-tradable goods, and capital flows. Covered Interest Rate Parity (CIRP) is a near-arbitrage condition stating that forward exchange rate premiums or discounts exactly offset interest rate differentials between two currencies: F/S = (1 + r_d) / (1 + r_f). Deviations from CIRP create riskless arbitrage opportunities that traders rapidly eliminate. Uncovered Interest Rate Parity posits that high-yielding currencies should depreciate to offset their interest advantage, though empirical evidence is mixed and the carry trade — borrowing in low-rate currencies to invest in high-rate ones — has generated persistent returns.
History
The history behind the Prop Firm Challenge Calculator traces back through the following developments. For much of the nineteenth century and early twentieth century, the international monetary system operated under the classical gold standard, under which each participating currency was fixed to a defined weight of gold, making bilateral exchange rates effectively constant. The system provided price stability and facilitated global trade but constrained governments' ability to respond to economic downturns. World War One shattered the gold standard as nations suspended convertibility to finance wartime expenditures. The interwar period saw attempts to restore gold convertibility, most notably the British return to the gold standard in 1925 at the pre-war parity, a decision criticized by John Maynard Keynes as deflationary. The Great Depression forced widespread currency devaluations and the effective collapse of the international gold standard by the early 1930s. The Bretton Woods Conference of July 1944 established a new order in which member currencies were pegged to the US dollar, while the dollar alone was convertible into gold at 35 dollars per troy ounce. The International Monetary Fund and World Bank were created at the same conference to oversee the system. Bretton Woods delivered exchange rate stability during the postwar growth era but came under strain as US deficits and European dollar accumulation outpaced American gold reserves. On August 15, 1971, President Nixon announced the suspension of dollar-gold convertibility — the so-called Nixon Shock — effectively ending the Bretton Woods system. By 1973, major currencies had transitioned to floating exchange rates determined by market supply and demand, a regime that has persisted. On September 16, 1992, hedge fund manager George Soros shorted the British pound against the European Exchange Rate Mechanism constraints, forcing the UK's withdrawal in what became known as Black Wednesday. Electronic trading platforms emerged in the 1990s and 2000s, replacing voice-brokered interbank markets and dramatically reducing transaction costs for institutional and retail participants alike.
Frequently Asked Questions
Sources & References
Formula
Daily Target = (Account × Profit Target %) / Trading Days | Risk Amount = Account × Risk %
The daily target divides the total profit target evenly across available trading days. Risk per trade is calculated as a percentage of the account. Trades needed is determined by dividing the target amount by the profit per winning trade (risk amount × RR ratio). This helps you plan a realistic path to passing your challenge.
Worked Examples
Example 1: $100K FTMO Challenge Plan
Problem: $100,000 account, 8% profit target, 5% daily loss, 10% total drawdown, 30 days.
Solution: Target = $100,000 × 8% = $8,000\nDaily Target = $8,000 / 30 = $266.67 (0.27%/day)\nMax Daily Loss = $5,000\nAt 1% risk ($1,000/trade) with 2:1 RR:\nProfit per win = $2,000, Trades needed = 4 winners
Result: $267/day target | 4 winning trades at 1% risk with 2:1 RR
Example 2: $50K Account — Conservative Plan
Problem: $50,000 account, 8% target, 5% daily, 10% drawdown, 30 days.
Solution: Target = $4,000 | Daily Target = $133.33\nAt 0.5% risk ($250/trade) with 3:1 RR:\nProfit per win = $750\nTrades needed = ⌈$4,000 / $750⌉ = 6 winning trades
Result: $133/day target | 6 winning trades at 0.5% risk with 3:1 RR
Frequently Asked Questions
What is a prop firm challenge?
A proprietary trading firm (prop firm) challenge is an evaluation process where traders must demonstrate their skills by meeting profit targets while adhering to strict risk management rules. Traders typically pay a fee to take the challenge, trade on a simulated account, and if they pass by reaching the profit target without violating drawdown limits, they receive a funded account to trade real capital. Popular prop firms include FTMO, MyFundedFX, The Funded Trader, and many others. Challenges usually have two phases and specific rules about daily loss limits, total drawdown, and minimum trading days.
What are typical prop firm challenge rules?
Typical rules include: Profit target of 8-10% in Phase 1 and 5% in Phase 2. Maximum daily loss of 5% of initial balance. Maximum total drawdown of 8-12% of initial balance. Minimum trading days of 4-5 days. No holding trades over weekends (varies by firm). No news trading within certain windows. Time limits range from 30 days to unlimited. Account sizes typically range from $10,000 to $200,000. Some firms have scaling plans that increase your account size after consistent profitability.
How should I plan my daily targets for a prop firm challenge?
Divide your profit target evenly across trading days as a guideline, but do not force trades to meet daily targets. For example, on a $100,000 account with an 8% target over 30 days: daily target = $8,000 / 30 = $267/day or 0.267%. However, some days will be better than others. A better approach: aim for 0.5-1% on high-probability setup days and take no trades on low-quality days. Front-load your effort — try to reach 50% of the target in the first half so you can trade conservatively in the second half. Never increase risk to catch up.
What risk per trade should I use in a prop firm challenge?
Most successful prop firm traders risk 0.5-1% per trade during challenges. At 1% risk on a $100,000 account, you risk $1,000 per trade. With a 2:1 RR ratio, each winner nets $2,000, meaning you need 4 winning trades to hit an 8% target. At 0.5% risk, you have more room for losses but need more winning trades. Never risk 2%+ per trade in a challenge — a few losses and you are too close to the drawdown limit. The key is consistency: steady small gains compound faster than boom-and-bust cycles.
What is the pass rate for prop firm challenges?
Industry estimates suggest only 5-15% of traders pass prop firm challenges. The most common reasons for failure are: exceeding the daily loss limit (about 40% of failures), exceeding total drawdown (about 30%), and not reaching the profit target in time (about 30%). Traders who use disciplined risk management and accept small consistent gains have much higher pass rates. Many prop firms publish their statistics: for example, FTMO has reported that about 10% of challengers eventually receive funded accounts. Preparation, practice on demo accounts, and a proven strategy are essential before attempting a challenge.
What is the difference between Phase 1 and Phase 2 of a prop firm challenge?
Most prop firms use a two-phase evaluation. Phase 1 typically has a higher profit target, usually eight to ten percent, with a time limit of thirty days. Phase 2 has a reduced profit target of around five percent with the same drawdown rules but sometimes a longer time window of sixty days. The drawdown limits remain consistent across both phases. Some firms allow unlimited time for each phase. Passing both phases demonstrates that a trader can consistently generate profits while managing risk effectively.
References
Reviewed by Daniel Agrici, Founder & Lead Developer · Editorial policy