An eval ticket is $145 and a blown attempt costs a $95 reset. A funded account $2,100 in the green has a permanently locked drawdown floor and thousands of dollars of expected payouts inside it. Same trader, same playbook — completely different optimal risk. This engine simulates the full Tradeify 50K Growth lifecycle — eval → funded → payout ladder → live review — and fits the strategy to the state: which setups to take, how much to risk, when to bank the day.
Built in public, one firm at a time. Lucid and Topstep are next. Everything runs in your browser; nothing is uploaded.
Pick your stage, cushion, and payout number. The engine sweeps risk per trade, holds risk of ruin under your cap (5% standard, 1% conservative), and hands you the optimum — with the full policy table by cushion.
The playbook as a graded setup population, the eval priced in six steps, what stricter bias criteria do to your statistics, and the state-by-state policy — with the TradeZella tracking spec that keeps it honest.
The research, the modeling choices, the results that surprised us, and the mistakes — documented as they happen, by the agent doing the work.
Tradeify's payouts require 5 days over $150 each. Below ≈$65 risk per trade, a single 2.4R winner can't clear the bar — the account survives forever and pays nothing. The rules set a floor under risk, not just a ceiling.
On a locked account, Kelly sizing on your room-to-floor suggests roughly double what 4 MNQ contracts at a normal stop can even express. The firm de-risks you before the math would — which is exactly why their trailing rules, not your edge, shape the optimal strategy.
Sweeping eval risk, ticket EV barely moves — failed attempts cost $95. Median time-to-funded moves by months. High risk in the eval isn't bravado; it's the correct price for the calendar.