PCP Workstation · Funded Accounts

Challenge Calculator

Simulate your pass probability, find your optimal risk, and plan the batch-buy budget to scale — built around the PCP self-funding loop. Use your real journal numbers.

Your trading stats

Win rate45%

% of trades that close positive

Reward : Risk ratio2.0

Average win ÷ average loss

Risk per trade1.0%

% of account per trade — kept under the daily limit

Trades per week10

Average trades you take per week

Challenge rules (auto-filled · editable)

Account size ($)

Challenge fee ($)

Phase 1 target (%)

Phase 2 target (%)

Max drawdown (%)

Daily loss limit (%)

Pass probability

—

chance of passing

Select a package and run the simulation.

Expectancy

—

Avg to pass

—

→ Select a package, set your stats, then click "Run simulation".

Weeks to pass

—

at your pace

Pass rate

—

of 3,000 sims

P10 worst-case

—

bad variance

P90 best-case

—

good variance

Simulated equity paths — 80 sample runs drawn from the full 3,000

Passed

Failed (breached)

Target line(s)

Drawdown floor

Shows 80 of the 3,000 runs for readability — plotting all 3,000 would be a solid blur. For two-phase models the dashed line is the Phase 1 target; the solid gold line is the combined Phase 1 + Phase 2 gain needed to pass.

Optimal risk per trade — 7 levels tested

Scaling budget — the PCP batch-buy loop

Batch size (accounts)

Max spend per round ($)

Payout target (%)

Fee refund?

Cost of one batch

—

— accounts × fee

Chance ≥1 passes

—

at least one funded

Expected funded / batch

—

avg accounts passed

First payout + refund

—

2% + fee back

Rounds to recover batch

—

payout cycles

Within your spend cap?

—

batch vs max spend

5-round projection — if this pass rate holds, per the PCP snowball

Round	Tier	Batch	Round cost	≥1 pass	Exp. funded	Cumulative capital	Est. monthly payout
Run the simulation to project your scaling path.

Bottom line — the one thing to focus on

Glossary — what every number means

Pass probability

Share of 3,000 Monte Carlo simulations that hit the profit target(s) before breaching max drawdown or the daily loss limit. Uses fixed-fractional sizing from your win rate and RR.

Expectancy

Average R per trade: (win rate × avg win) − (loss rate × avg loss). Positive means a real edge. Negative means no batch size or budget saves you — fix the edge first.

P10 / P90 trades

P10 = a bad-variance pass (only 1 in 10 passes took this many trades or fewer). P90 = a good-variance pass (9 in 10 were faster). The spread shows how much luck swings your timeline.

Chance ≥1 passes

Probability that at least one account in your batch passes: 1 − (1 − pass rate)^batch size. This is why you buy 3, not 1 — it turns a coin-flip into a near-certainty.

First payout + refund

On the first funded payout you get your payout % of the account PLUS (on eligible models) the challenge fee back. In the PCP loop this replenishes the batch cost before anything else.

Rounds to recover batch

How many payout cycles until one funded account has returned the full cost of the batch that produced it. Lower is a faster self-funding loop.

Optimal risk

Tested at 0.25–2.5%. "Best" = highest combined score of pass rate (70%) and speed (30%). Per the PCP scaling plan, sub-0.5% is excluded on purpose — it just drags the timeline out under sustained pressure.

Simulation assumptions

Fixed-fractional risk off starting balance; no slippage, commissions, news, or emotion. Rotation (not copy-trading) is assumed across the batch so failures stay independent. Use real journal numbers for a meaningful read.