Interview noteThis page restates a public interview in new words. Dollar results, win rates, and payouts are claims made by the speaker or the host. They are not this desk's record, and they are not a result to expect.
The firm's free simulator prices an attempt before the fee, and the host says passers and failures often split on whether that arithmetic came first. He is explicit that the printout does not promise a pass. Fees, targets, and simulated rates below are the example he typed, and they are not an audit.
Why it matters
A gain goal and a loss cap move together. More risk reaches the goal on fewer friendly paths and dies more often on the others. The tool prices where a stated hit rate stops fitting the loss limit, and what repeated fees cost before a check exists. Read the instructions before the charts.
The idea in plain words
Dollars are the mode he wants for most people, so the tool knows whether the hole and the goal are cash or percentages. The sample book pays twice the loss and wins 40 percent of the time. Lift that win rate to 90 percent and the viability score falls to zero, which exposes the fantasy. Each example trade risks a fixed $350.
Promotions change the rule card, he says. The card he enters is a $100 test fee, $140 to activate, a $100,000 account, a $6,000 goal, and a $6,000 loss limit that trails at the close of the day. Once funded, the same 100k futures account uses the 90/10 split the firm was using then. He assumes two trades on a typical day, and he does not claim every day will be two.
How to use it
Challenge accounts at the firm, he says, have no consistency rule. The block is about the funded account. With the rule set at 30 percent, the screen shows the largest one-day gain allowed and a modeled chance of breaking it. His inputs print that chance as zero. He fences the zero: it is paper, and it holds only while the double payoff and the 40 percent win rate stay put. Live results wander. A modeled strong day, those two trades, books $1,400 and leaves a $400 gap under the one-day ceiling his risk implies. Cut the rule to 10 percent and the same book shows a high modeled chance of a breach. The remedies listed are smaller risk, a lower daily trade count, or a larger payout goal so one strong session stays below 30 percent of gains booked. He keeps that goal at $6,000.
Pass share is plotted against risk. The rungs are 0.1 percent of the account, then a quarter percent, 0.33 percent, a half percent, and 1.25 percent. The lowest rung passes every path. He calls that paper, randomness included, and says it can take forever to see a check. The highest rung passes 62.5 percent of paths. Trades to a first payout are about 305 at the small risk and about nine at the large one. The chance of that first payout shrinks as the rung rises.
Five thousand paths, each risking $350 at the double payoff, are narrated as passes on 65.1 percent of them and failures on 34.9 percent, The caption, in the same stretch, mentions winners only 30 percent of the time, which fights the 40 percent behind the viability score. He still gives 65.1 and 34.9 for that run. The panel also shows a typical and a worst-case try count, expected fees, how often paths failed more than five times, and the 100k return that merely covers those fees.
What usually goes wrong
A tighter grid gives every risk setting its own five thousand paths, fifty thousand paths across the grid, and reports passes, failures, and the median trade count to a pass. Heavier risk means fewer trades to a paper pass and a lower chance of passing. Cost inside a 90 percent confidence band climbs with risk while the calendar shrinks. Near 0.33 percent, the modeled bill from a pass through to funded was about $200 and the wait was much longer. At 1.25 percent the bill was about $600, often three tries, next to the 62.5 percent pass share. A side-by-side table lines up the pass share, the trade columns, the day count, both cost figures, and how often failures reached five or more.
Reading a cell as next month is the miss. Large risk dies more often on unfriendly paths. Tiny risk can look flawless and still postpone a check. The useful question is where the stated hit rate stops fitting the loss limit, and what fees times tries are likely to cost.
Questions people ask
Why did a 90 percent win rate fail the score?
The payoff stays at twice the risk while winners jump from 40 percent to 90 percent. The score falls to zero before any path can look kind.
What did five thousand paths actually print?
Passes on 65.1 percent and failures on 34.9 percent, at $350 of risk. The caption's 30 percent win rate in that stretch fights the 40 percent behind the score. Both lines are his narration.
Does a modeled zero make the consistency rule safe?
Only while the double payoff and the 40 percent win rate stay fixed. The $1,400 day sat $400 under the cap at 30 percent. At 10 percent the same inputs showed a high breach chance.