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How to Calculate Your Real ROI on Prop Firm Evaluation Fees (Most Traders Get This Wrong)

The headline ROI of prop firm trading looks extraordinary. The actual ROI — accounting for evaluation fees, pass rates, account lifespan, and infrastructure costs — looks different. Here's how to calculate the real number.

Copilink Team
March 1, 2026
4 min read
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How to Calculate Your Real ROI on Prop Firm Evaluation Fees (Most Traders Get This Wrong)

The headline math of prop firm trading is compelling: pay $150, potentially access $100,000 of buying power, keep 90% of profits. At a conservative $500/month per account across 10 accounts, that's $5,000/month on $1,500 of total evaluation investment — a 333% monthly ROI on capital deployed. Those numbers get thrown around constantly in prop trading marketing and community discussions.

They're not wrong, exactly. They're incomplete. Here's the complete picture.


The Four Components of Actual ROI

Real prop firm ROI has four components that interact:

  1. Payout income (the obvious part)
  2. Evaluation fee cost (the ongoing overhead most people undercount)
  3. Infrastructure costs (VPS, copier, NinjaTrader)
  4. Time value (the cost that's hardest to quantify)

Component 1: Payout Income

Monthly payout income = average per-account monthly payout × number of active funded accounts.

The "average per-account monthly payout" is the number that most traders either overestimate (using best-month performance) or underestimate (using paper trading results). The right input is average from live funded trading over at least 3 months.

Example: Live trading history shows $600/month average payout per Apex funded account (after the 10% profit split). 10 accounts: $6,000/month gross payout income.


Component 2: Evaluation Fee Overhead

This is where most analyses undercount. Evaluation fees aren't a one-time cost — they're recurring, because accounts blow and need to be replaced.

Monthly evaluation overhead = (accounts maintained) ÷ (average funded account lifespan in months) × (cost per successful placement).

Cost per successful placement = evaluation fee ÷ pass rate.

Example: 10 accounts, average lifespan 5 months, $150 evaluation fee, 60% pass rate.

  • Accounts replaced per month: 10 ÷ 5 = 2 accounts/month
  • Cost per successful placement: $150 ÷ 0.60 = $250
  • Monthly evaluation overhead: 2 × $250 = $500/month

$500/month of ongoing evaluation overhead — not $150 as the headline suggests. This is the real recurring cost of maintaining a 10-account portfolio.


Component 3: Infrastructure Costs

Monthly infrastructure at scale:

  • VPS (Chicago, 16GB RAM): $100-$130/month
  • Copilink: ~$50-70/month (check current pricing at copilink.com)
  • NinjaTrader lease: ~$30/month (amortized)
  • Total: approximately $180-$230/month

Putting It Together: The Real Monthly P&L

Using the example parameters:

  • Gross payout income: $6,000
  • Evaluation overhead: −$500
  • Infrastructure: −$200
  • Net monthly income: $5,300

The actual ROI calculation depends on what capital base you're measuring against. Against evaluation capital deployed in the current month ($500 for 2 evaluations): 5,300 ÷ 500 = 1,060% monthly ROI on evaluation capital. That number is technically correct and completely useless as a practical metric.

More useful: ROI on total committed capital. Total evaluation capital deployed to maintain 10 funded accounts (average replacement cycle ongoing): the 2 evaluations/month × $250 effective cost = $500/month, cumulative over 5-month average account lifespan ≈ $2,500 total evaluation investment at any given time. Net income ÷ committed evaluation capital: $5,300 ÷ $2,500 = 212% monthly. Still extraordinary by any conventional investment standard.


The Sensitivity Analysis: What Changes the Numbers Most

Three inputs have the most impact on net income:

Pass rate: Moving from 60% to 75% pass rate: cost per successful placement drops from $250 to $200. Monthly evaluation overhead drops from $500 to $400. Net income improves by $100/month per 10 accounts. Small improvement in pass rate has significant impact.

Average account lifespan: Moving from 5 months to 8 months (better risk management, fewer blown accounts): accounts replaced per month drops from 2 to 1.25. Monthly evaluation overhead drops from $500 to $312. Net income improves by $188/month. Longer-lived accounts have the biggest impact on net income — this is why the guardrails framework has direct economic value, not just risk management value.

Average payout per account: Moving from $600 to $750 average per account × 10 accounts = $1,500/month gross improvement. The biggest lever — but also the one that requires actual trading improvement rather than operational optimization.

The operational levers (pass rate, account lifespan) are directly within a trader's control through infrastructure investment and rule compliance. The trading performance lever requires ongoing strategy development. Both matter; understanding which has more impact on net income helps prioritize where to spend time and attention.

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