The bot finds the edge. The engine turns it into cash.

Two machines, one number between them. The trading bot backtests the MNQ playbook and measures the win rate. This engine runs that win rate through Tradeify's 50K Growth rules — evals, resets, funding, the payout ladder — and prices the whole business in dollars per year. Everything on this page is one calculation: win rate in, expected value out.

The pipeline

Trading bot backtests the playbook 5 yrs of MNQ, 1-minute data Win rate measured per setup grade A++ / A / B Risk engine lifecycle Monte Carlo Tradeify 50K Growth rules The policy filter + risk per state ruin ≤ 5% Cash 90% split

Expected value per year, by win rate

Each point re-simulates a full 250-trading-day year per account slot — eval attempts, $95 resets, funding, the payout ladder, account deaths and re-buys — net of every ticket.

One hue, three intensities: the same expected value at 1, 3, and 5 Tradeify slots (5 is the firm's cap). Hover any point for the full breakdown. Slots mirror the same trades, so expectations add — variance concentrates.
running the simulation…

Where the cash comes from

The only dollars in the model: Tradeify's payout ladder, at the 90% split, against the tickets it costs to get there.

The payout ladder, net to you

Per payout, after the split: the ladder caps every withdrawal, so annual EV is payout cadence × these bars — nothing else. Getting a slot funded costs the $145 ticket plus $95 per blown attempt.

The operating plan

Leg 1 — Tradeify sim slots: up to 5 Growth funded accounts run by the state policy: pass fast, grow to the +$2,100 lock, grind A++ $150-days, harvest the ladder. The $40,000 target lives here.

Leg 2 — Lucid live: the best setups — A++ only — graduate to live accounts targeting a $12,000 payout. Live is a different game; deliberately not modeled yet.

The loop: journal by grade → the bot re-measures → the engine re-prices → the dashboard trades it. The chart above is the loop's budget: what each win-rate point is worth before you build it.