Skip to content
PropSurvival
Scenario library · Seeded Monte Carlo

Apex Trader Funding $100K — Aggressive Scalper — 100K Book

Corpus last verified 2026-07-22 · rules hash bcaa260e16098c3d · built 2026-08-31 · rules/apex

Apex Trader Funding’s own published $100K rules, run against the identical Aggressive Scalper edge at Apex’s 100K account size — 25,000 seeded paths through the same engine that powers the free simulator.

Compared with the 50K Aggressive Scalper scenario — The trader profile is identical to that scenario and only the account size changes — but Apex’s own max-drawdown allowance is tighter at $100K (see the table above) than at $50K, so the rule moves too, not just the size. The two funded probabilities are not expected to match.

Key result · extract this block

Modeled 28.2% funded probability for this trader profile on Apex Trader Funding’s $100K program — the binding constraint is the max drawdown floor (71.8% of paths).

Source: https://propsurvival.com/scenarios/apex-100k-aggressive-scalper · corpus rules/apex/100000.json · seed 1270378580

Free calculator: run your own book against Apex Trader Funding — free

The firm’s rules

FieldValue
ProgramIntraday Trailing Drawdown Evaluation (EA)
Account size$100,000
Phase 1 target6% ($6,000)
Daily lossno daily loss limit
Max drawdown3% ($3,000) · trailing drawdown (firm tracks intraday equity; modeled here as ratcheting on every closed trade)
Min / max trading days0 / 30

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 rate45%
Average win / average loss1.8R / 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
Funded probability28.2% ± 0.3% SE
Binding constraintmax drawdown floor (71.8% of paths)
Median days to pass2
Paths simulated25,000 · seed 1270378580

What this is

  • A deterministic, seeded Monte Carlo run of 25,000 paths against Apex Trader Funding’s own published rules (rules/apex/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 Apex Trader Funding’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 Apex Trader Funding’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 Apex Trader Funding — free

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