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PropSurvival
Scenario library · Seeded Monte Carlo

FTMO $100K — Steady Scaler

Corpus last verified 2026-07-31 · rules hash 5dd9f30c3d55776e · built 2026-08-31 · rules/ftmo

FTMO’s own published $100K rules, run against a 50% win rate, 1.5R-average-win trader risking 1% of equity per trade — 25,000 seeded paths through the same engine that powers the free simulator.

Key result · extract this block

Modeled 71.6% funded probability (Phase 1 81.4% × Phase 2 87.9%) for this trader profile on FTMO’s $100K program — Phase 1’s binding constraint is the daily loss limit (14.5% of Phase 1 paths).

Source: https://propsurvival.com/scenarios/ftmo-100k-steady-scaler · corpus rules/ftmo/100000.json · seed 3449776723 / 2605260591

Free calculator: run your own book against FTMO — free

The firm’s rules

FieldValue
ProgramFTMO Challenge (2-Step)
Account size$100,000
Phase 1 target10% ($10,000)
Phase 2 target5% ($5,000)
Daily loss5% daily loss
Max drawdown10% ($10,000) · static drawdown
Min / max trading days4 / 60 (phase 1)
Phase 2 min / max days4 / 60

The modeled trader

Not this reader’s numbers — one named, fixed profile, so the result is reproducible rather than personal. Enter different numbers in the free calculator to see your own.

FieldValue
Win rate50%
Average win / average loss1.5R / 1R
Risk per trade1% of equity
Trades per day (modeled)4 (Poisson-distributed)
Round-trip cost0.05R per trade
Trade clusteringIndependent

The simulated result

FieldValue
Phase 1 pass probability81.4% ± 0.2% SE
Phase 2 pass probability87.9% ± 0.2% SE
Funded probability (both phases)71.6% ± 0.3% SE
Phase 1 binding constraintdaily loss limit (14.5% of Phase 1 paths)
Median days to pass9
Paths simulated25,000 · seed 3449776723 / 2605260591

What this is

  • A deterministic, seeded Monte Carlo run of 25,000 paths against FTMO’s own published rules (rules/ftmo/100000.json), reproducible byte-for-byte from the stated seed.
  • The same reduction-proven engine (src/lib/state-conditional-mc.js) that powers the free simulator — not a separate or simplified model.
  • One fixed, disclosed trader profile — not this reader’s trading.

What this is not

  • Not a prediction of any individual’s outcome, and not investment or trading advice.
  • Not a ranking, endorsement, or comparison of firms.
  • Not FTMO’s own observed pass-rate data — a model of its published rules, not a historical statistic.
node tools/build-scenarios.js — regenerates this page and proves byte-identity (--check)

Run your own numbers against these exact rules

Enter your win rate, average R and risk size — or import a trade CSV — and the free simulator applies FTMO’s full published rule set. It will not reproduce this page’s seed bit-for-bit (your inputs are your own), but it is the same engine, the same rules, live.

run your own book against FTMO — free

Simulated result from user-supplied inputs · not investment advice · not affiliated with or endorsed by FTMO. Rules change without notice; the firm’s own documentation is always the final authority. See the disclaimer for the full never-claims list.