The Math You Need to Be Profitable in Prop Trading

Summary

The presenter describes a probability-based prop-firm futures strategy built around coin-flip direction selection and the rules of a Lucid Trading account. The central idea is to treat each evaluation fee as a limited business cost rather than trying to protect the displayed account balance.

The speaker cautions that this model is not intended for trading personal funds. With random entries, a 50/50 outcome is approximately break-even before trading costs, while a prop account’s fees and payout rules change the payoff structure.

Assets and platforms mentioned

• NQ / Nasdaq futures: The speaker uses “mini” contracts and states that one tick is $5 per mini contract.
• Lucid Trading Lucid Flex 25K prop account.
• Tradovate trading platform.
• No individual stock tickers, ETFs, bonds, or crypto assets are discussed.

Strategy framework

The presenter describes four formulas:

• Probability of reaching a target before a stop: Based on the distances to the stop and target. In the example, a 30-step stop distance and a 20-step target distance imply a 60% chance of reaching the target first.
• Consecutive wins: Multiply the individual probabilities. For equal-probability outcomes, this is (p^n).
• Average attempts: Use (1/p) to estimate the attempts needed for one success. This is an average, not a guarantee.
• Expected value (EV): Payout minus costs. The presenter considers positive EV necessary for the business model.

Applied to the account, the presenter’s plan is:

1. Evaluation: Make one trade per day, with a coin toss choosing long or short. The stated target is $625 per day for two days. The presenter gives 64 ticks in the plan; later, the platform example calculates 62.5 ticks and rounds to 63, with a commission tick also mentioned.
2. Safety margin / cushion: After funding, target $1,600 on one trade to build a buffer and reach a balance of $26,100, where the account’s trailing maximum loss locks at $25,100.
3. Follow-up: Make four additional winning-day trades targeting $100 each—about 21 ticks with one mini—toward the first payout. Each funded-account trade must last at least six seconds under the timing rule described.

The presenter uses one trade per day per account, places no separate stop order, and treats the account’s maximum-loss limit as the stop. They say the account fee is the amount at risk if the account fails.

Account rules and key figures

The figures below are for the Lucid Flex 25K rules and prices the presenter says they checked on September 26, 2026. They may change.

Account stage Rules described Evaluation $1,250 profit target and $1,000 maximum loss. A consistency rule limits a single day’s contribution to roughly half the target, so the presenter plans for at least two winning days. Maximum position size: two minis or 20 micros. Funded account The maximum loss trails the end-of-day balance and locks at $25,100 once the account closes above $26,100. The speaker says the account permits only one mini until the trader has earned $1,000. Payout Requires at least five winning days and $1,000 in profit. Only 50% of winnings can be withdrawn, the payout is capped at $1,000, and the trader keeps 90% under the stated split. After five payouts, the account moves to real money, according to the speaker.

Probability and expected-value estimates

The presenter gives these estimates:

• Probability of a planned evaluation trade succeeding: 61.54%.
• Probability of two consecutive evaluation wins: 37.87%.
• Average attempts to pass an evaluation: 2.64.
• Estimated chance that three attempts all fail: 24%; estimated chance that at least one succeeds: 76%.
• Average evaluation cost to reach a funded account: $171.94.
• Estimated chance of completing the four follow-up days after the cushion stage: 78.95%.
• Estimated chance that a funded account reaches the first payout: 30.36%.
• Estimated funded accounts needed per first payout: 3.29.
• Estimated evaluation accounts needed per payout, combining the stages: 8.70. The presenter estimates an 11.50% chance that any one evaluation account ultimately pays out—roughly one in nine.

For the first payout, the presenter calculates that $2,000 in account profit is reduced to $1,000 by the 50% withdrawal rule, then to $900 after the 90/10 split. They estimate average costs of $566.26 ((3.29 \times \$171.94)), resulting in a claimed first-payout EV of +$333.74 after costs.

These figures are presented as averages, not predictions for a particular trader or account. The speaker emphasizes variance, losing streaks, and the possibility that individual accounts fail.

Further payouts, risks, and caveats

The speaker describes later payout cycles as additional opportunities with no new evaluation fee, but says the account becomes harder to keep alive as its balance and available margin decline. They report usually reaching three or four cycles, say they have not reached the fifth, and prefer having multiple accounts at the fourth cycle rather than one reaching the fifth.

The approach depends on random price movement and the prop firm’s specific rules; it is not presented as a trading edge. The speaker explicitly says it would not work the same way in personal-account trading, where losses come from one’s own capital and commissions or slippage affect results. The method also uses the account’s maximum loss as its stop rather than a separate trade-level stop, making account failure a material risk.

Disclosure: The presenter says the video is for educational purposes only and is not financial advice. They state they are not affiliated with Lucid Trading.

Presenters and sources

• Presenter: Sergiu Reaboi (channel context).
• Formula and inspiration credited to: Magnus Futures.
• Rules discussed: Lucid Trading.
• Platform demonstrated: Tradovate.