Optimal Risk Calculator — Tradeify 50K Growth

Where is the account?

Cushion — profit above $50,000 ($)

Next payout number

Risk-of-ruin tolerance

Your typical stop distance (MNQ pts)

Strategy per state

Setup filter + day rules for each stage. Defaults are placeholders — replace with your TradeZella numbers per state (see what to track).

Eval — setup filter

Eval — day stop ($)

Funded growing — setup filter

Growing — risk per trade ($)

Funded cushioned — setup filter

Cushioned — bank the day at ($)

Switch to protection at cushion ($)

Sim payouts before live review

Results

Expected value vs risk per trade

EV vs risk

The cost of that risk

What the next 150 trading days look like

Sixty simulated futures of this exact account at the recommended risk. Red paths die on the trailing floor; the drop-steps are payouts leaving the account.

The policy table — optimal risk at every state

Task 1. For each cushion level: the EV-maximizing risk per trade that keeps P(ruin before the next payout) under your cap, what the account is worth from there, and how it changes as the cushion grows. This is the table to trade from.

Reading the results honestly

The optimizer maximizes expected sim-phase payouts subject to your ruin cap — it does not price your time. Where two risk levels have similar EV, the higher one usually gets funded and paid months sooner; the median-days columns and the eval time chart exist so you can weigh that yourself. Trades are drawn independently (real losing streaks cluster — treat ruin numbers as slightly optimistic), the value of the post-review live account is excluded, and firm rules are the published ones as of August 2026. The Model page walks through every assumption.

How much should this account risk per trade, today?

Where is the account?

Strategy per state

Results

Expected value vs risk per trade

EV vs risk

The cost of that risk

What the next 150 trading days look like

The policy table — optimal risk at every state

Reading the results honestly