We put three industry figures on the homepage. None of them are ours to "prove" — they're synthesized from public prop-firm disclosures, third-party studies and community data, and they vary by firm and period. Here's exactly what each means, where it comes from, and whether it's an estimate or something we've verified ourselves.
~70%
of blown funded accounts die on a rule breach — daily-loss or trailing-drawdown — rather than a losing strategy. Estimate
What it means
"Blown" = account closed by the firm for breaching a hard rule (DLL, max/trailing loss, consistency), not merely an account that ended down. The claim is about cause of death, not win rate.
Basis & caveats
Synthesised from public prop-firm rule disclosures + community post-mortems + our own real-fill account analysis.
Highly firm-dependent: an intraday-trailing-DD firm (e.g. Apex) breaches very differently from a static-floor firm.
We treat this as directional, not precise. The honest version of the claim is "most blow-ups are rule-math, not strategy."
$4,270
average spent on evaluations before passing (or giving up), with a large share never recovering the spend. Estimate
Basis & caveats
Derived from typical eval + reset + activation fees across the 15 firms in our rule database × observed retry counts.
Sensitive to firm and discount cycles (eval fees are frequently 50–90% off). A single 50K eval can run $99–$599 list.
Use it as an order-of-magnitude, not a precise mean.
5–15%
first-try evaluation pass rate — the gap being rule survival, not strategy quality. Estimate
Basis & caveats
Range reflects different firms and account sizes; some firms publish pass-rate-adjacent stats, most don't.
We show a range deliberately — a single number here would be false precision.
What we verified ourselves
Separate from the industry estimates above, these come from our own broker-reconciled fills on our own accounts — not third-party claims:
Fees turn small gross losses into bigger net losses. On one real-fill sample, $463 in fees turned −$321 gross into −$785 net.
Hold-time is the lever. In the same sample, >30-min holds were net positive while <2-min churn lost money — independent of symbol.
Trailing-DD breaches on open (unrealized) P&L, not just closed losses. We watched a 150K demo breach from an overnight unrealized drawdown while realised P&L was only −$3,600 — the floor had ratcheted up on an early peak. This is exactly the failure mode AlgoProven measures live.
Why the homepage softens the language
Because these are estimates, the homepage says "industry estimates" — not "fact." We'd rather under-claim and let our own verified analytics and simulator do the convincing. If you have better firm-specific data, tell us and we'll update this page.
See the rule math on your own terms
The simulator shows, trade by trade, exactly how trailing drawdown and daily loss move toward a breach — on a Topstep / Apex / FFN preset.