Module 1 / 2
The maths of a challenge - 8% + 5%, daily DD, max DD
By the end of this lesson you will be able to calculate:
- Author
- Zordon Intelligence Sp. z o.o.
- Updated
- 6 min read
- Structure sources
- 2
A prop challenge is not a competition for profit. It is a survival test. The 8% and 5% targets look harmless, but combined with a 5% daily DD and an 8-10% max DD they form a maths problem with a very narrow corridor. If you do not calculate this before you start, you are leaving it to randomness.
This lesson is a calculator, not motivation.
Lesson goal and what you will measure
By the end of this lesson you will be able to calculate:
- How many losses in a row end a challenge at a given risk % per trade.
- What maximum exposure you can carry under a daily DD.
- What combination of win rate / R:R is needed to make 8%.
- How the trailing DD versus static DD model changes the maths.
Measures: ruin table, risk calculator, expected number of trades to target.
Definitions that decide whether you pass
Daily Drawdown (daily DD): The maximum loss within a single day. The most important rule.
Variant A - balance-based (old FTMO, many firms still use it):
Max_daily_loss = Current_equity - Max(Start_of_day_balance, Start_of_day_equity) must not fall by 5%
So if you start the day with a balance of 100,000 and you have +2,000 floating open, your equity is 102,000. A fall to 97,000 is -5,000 from the start of the day = disqualification, even though you are still positive on balance.
Variant B - equity-based at midnight: More restrictive. The threshold is calculated every day at 00:00 server time.
Max Drawdown (max DD): The maximum slide from the account start. Two types:
- Static: 10% of the initial balance = always 90,000 on a 100k account. It does not rise.
- Trailing on balance (FundedNext, The5ers High Stakes): the max DD follows the highest balance reached, until it locks at the starting level. If you reached 108,000 on a 100k account with an 8% max DD, your threshold is now 100,000, not 92,000. That is considerably harder.
| Max DD type | Example: 100k, 8% max DD, peak 108k | Where is the liquidation threshold? |
|---|---|---|
| Static | start 100k | 92,000 at all times |
| Trailing High Balance (locks at breakeven) | peak 108k | 100,000 |
| Trailing High Equity | peak 108k equity, balance 104k | 100,000-102,000 depending on the firm |
Without knowing the max DD type, you cannot calculate risk.
How many trades does it take to fail? Ruin maths at 8%
Let us assume a 100,000 account, 5,000 daily, 10,000 max static. You risk a constant R per trade.
Losses_to_daily = Daily_DD / (Risk_% * Capital)
Losses_to_max = Max_DD / (Risk_% * Capital)
| Risk / trade | Amount on 100k | Losses to 5% daily | Losses to 10% max |
|---|---|---|---|
| 0.25% | 250 USD | 20 | 40 |
| 0.5% | 500 USD | 10 | 20 |
| 1.0% | 1000 USD | 5 | 10 |
| 1.5% | 1500 USD | 3.3 | 6.6 |
| 2.0% | 2000 USD | 2.5 | 5 |
At 1% per trade, 3 losses in a row plus commissions/spread are enough to bring you close to the daily. With 5 trades a day at 1% risk each, one bad streak ends the day.
That is why professionals in a challenge use 0.25% - 0.5% per setup.
How many trades to the 8% target?
Do you need 8R at R = 1% per trade? No. You need a net result.
A simple formula for the expected number of trades:
Expected_profit_per_trade = (Winrate * Avg_Win_R) - (Lossrate * Avg_Loss_R)
Number_of_trades = Target_R / Expected_profit_per_trade
Example: win rate 45%, avg win 2R, avg loss 1R.
EV = 0.45*2 - 0.55*1 = 0.9 - 0.55 = 0.35R per trade
Target = 8R (if 1R=1%)
Number of trades = 8 / 0.35 = 22.8 trades
At a 35% win rate and 2:1 R:R:
EV = 0.35*2 - 0.65*1 = 0.05R (!) -> 8 / 0.05 = 160 trades -> unrealistic in 30 days
Conclusion: to pass a challenge you need EV >0.25R, otherwise the number of trades grows exponentially and you fall into overtrading.
Table of required effectiveness:
| Average R:R | 40% win rate -> EV | Trades to 8R |
|---|---|---|
| 1.5R | 0.41.5 - 0.61 = 0.0R | infinity |
| 2.0R | 0.2R | 40 |
| 2.5R | 0.4R | 20 |
| 3.0R | 0.6R | 13.3 |
The maths rewards higher R, not a higher win rate.
Daily DD and simultaneous positions
A beginner mistake: they calculate risk per trade but open 3 correlated positions (for example EURUSD, GBPUSD, AUDUSD long).
Portfolio_risk = Sum(Risks) * Correlation_coefficient
3 positions at 0.5% long on a weak USD = ~1.35% total risk, not 0.5%
With a 5% daily that is 25-30% of your buffer used up on a single macro decision.
Limit total exposure: max 1.0-1.5% across all open correlated positions.
When the plan says do not trade
- When you approach 50% of the daily DD on a given day - stop the day. Two more losses = fail.
- When you have 3 losses in a row at 1% risk - stop the session, not the day.
- When you did not calculate before the session: how many losses are left to the daily and to the max.
- When you have swing positions open and there are 3h left to server midnight, and floating equity of +4% raises your daily threshold for tomorrow.
- When the 8% target is “within reach” (7.5%) and a 2% risk tempts you to “finish it off” - this is the most common reason for failing at +7%.
The mistakes that cost the most
- Raising risk as you approach the target. The maths of revenge: one 2% loss after a streak cancels out 4 wins at 0.5%. A trailing max DD locks you out for good.
- Calculating DD from balance when the firm calculates it from equity. 70% of people fail the daily without knowing that floating profit raises the base.
- Not accounting for commission and swap in R. If the stop loss is 20 pips and the spread is 2 pips, your real R is not 1% but 1.1%. Across 30 trades that is 3% of extra DD.
- Stagnation and chasing the clock. You have 30 days, you make 0% for 20 days, then 8% in 5 days at 2.5% risk - variance kills you. Pace: 0.3-0.5% a day expected.
Measurable exercise
Build your own challenge calculator (spreadsheet)
Columns: Capital | Daily DD | Max DD | Risk/trade | Losses to daily | Losses to max | Phase 1 target (in R) | Historical win rate | Average R | EV | Est. number of trades | Realistic within the day limit?
Fill it in for 3 accounts: 25k, 50k, 100k for FTMO and FundedNext.
Extra task: simulate 100 sequences of 40 trades with a Monte Carlo method using your EV. Count the % of sequences that touch the daily DD before reaching 8R. Use:
import random
def simulate(p_win, avg_win_r, avg_loss_r, risk_pct, daily_dd_pct, target_r, n_sims=5000):
wins = 0
for _ in range(n_sims):
bal = 0
dd_day = 0
# simplified logic
# ...
If >30% of simulations touch the daily DD before the target -> halve your risk.
Test yourself
- You have a 50k account, 5% equity-based daily, balance 51k, equity 52.5k at the start of the day. How much can you lose on equity without hitting the daily?
- Why is a trailing max DD on high balance harder than a static one?
- At a 50% win rate and 1.8 R:R, what is the EV and how many trades are needed for 8R?
- You open 2 positions at 0.6% each, long EURUSD and GBPUSD. What is the real exposure?
- You are up 7.2% in phase 1. There are 5 days left. Why is raising risk to 2% a mathematical mistake, not only a psychological one?
Frequently asked questions
What % per day should I make to pass 8% in 30 days? ~0.27% per day on average. But you need a buffer for losses. Aim for 0.4-0.6% of expected profit per day at 0.5% risk per setup, which leaves room for DD.
Is it better to take 20 small trades or 5 large ones? Small ones. The law of large numbers rewards low volatility. 5 large trades = high variance = an 80% chance that you touch the daily before you hit a streak.
Does commission count towards DD? Yes, always. DD is the balance/equity difference after all costs.
What if the firm has a 4% daily rather than 5%? A 1% difference is 20% less room. Cut your risk by 20% and your expected daily profit by the same. The maths does not change.
Educational material. Not advice. Every firm has a different definition of DD - read the rulebook before every calculation.
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Key takeaways
- By the end of this lesson you will be able to calculate:
Structure sources
The material is based on source documents. Variable values — fees, limits, regulatory figures — are worth checking at the source before making a decision.
- FTMO / The5ers / FundedNext — rulebooks
- Myfxbook / FX Blue — performance audit
Disclaimer
- Educational material. Not investment advice or a recommendation. Trading involves the risk of losing capital.
- The materials are educational. They are not investment advice or a recommendation within the meaning of financial instruments trading regulations. Numbers in examples are illustrative unless a measurement date and source are given.
Who writes this and how we check it
The materials are written and verified by Redakcja Kurs Tradera — the rules are described on about the site: every number has a source, and we show gaps openly. Report a factual error via contact — corrections are described in the content.
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