CFD · open dataset · verified 2026-01-15
ThinkCapital Dual Step 100K (Intraday model) pass rate: simulated odds
10,000 Monte Carlo paths per profile at seed 42, on the challenge’s exact published rules. Distributions under stated assumptions, never promises.
Developing trader
45% win rate, 1.4R average winner, 4 trades/day, risking 1% per trade
30.5%
pass per attempt · 95% CI 30.0%–31.0%
Consistent trader
48% win rate, 1.6R average winner, 4 trades/day, risking 0.75% per trade
85.9%
pass per attempt · 95% CI 85.2%–86.5%
Proven edge
52% win rate, 1.8R average winner, 3 trades/day, risking 0.5% per trade
99.9%
pass per attempt · 95% CI 99.8%–100.0%
Seed 42 · 10,000 paths per profile · engine v1.1.2. EV is net of every fee across a full journey (attempts, resets, activation, then 90 funded trading days of gated payouts); payout probability is the chance a funded account collects at least once. Assumptions and unsimulated rules: profit-split-scaling, trades-resolve-same-day, intra-trade-excursions-not-modeled, daily-basis-equity-equals-balance, post-target-min-days-risk-free, attempts-iid, funded-withdrawal-model, calendar-days-approximated, trading-constraints-not-simulated. Details reproduce in the simulator run.
Precomputed odds
Not a ranking: simulated odds for three reference profiles.| Challenge | Developing trader | Consistent trader | Proven edge | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Pass % | EV | Payout | Pass % | EV | Payout | Pass % | EV | Payout | |
ThinkCapital · Dual Step 100K (Intraday model) CFD | 30.5% | +$4,750 | 47.3% | 85.9% | +$40,024 | 92.0% | 99.9% | +$49,211 | 99.9% |
Seed 42 · 10,000 paths per cell · engine v1.1.2. Deterministic Monte Carlo: same seed, same numbers. Pass % is per attempt, with its 95% CI on hover; EV is net of every fee. Assumptions and unsimulated rules are listed in each challenge’s simulator view.
What the numbers say
Simulated at seed 42, 10,000 paths per archetype: reproduce every figure in the on-page simulator. The spread between profiles here is the widest of the CFD programs in this dataset, because the 4%/8% box converts risk size directly into survival: the developing trader (45% win rate, 1.4R winners, four trades a day at 1% risk) passes 30.5% of attempts (CI 30.0–31.0%) and averages 3.27 attempts to fund; the consistent trader (48%, 1.6R, 0.75% risk) passes 85.9%; the proven-edge trader (52%, 1.8R, three trades at 0.5% risk) passes 99.9%. Expected value follows the same gradient: +$4,750, +$40,024, and +$49,211 respectively, over the full journey including a 90-trading-day funded horizon at the 80% split. The refundable fee keeps even the marginal profile’s EV positive, but 54.6% of its paths still ended net-negative.
Interpretation: ThinkCapital is not a harder program in general. It is a harder program per unit of risk. The same developing trader who passes 45.8% of FTMO attempts passes 30.5% here purely because $4,000 of daily room absorbs one less losing trade than $5,000. If your risk per trade is 0.5% or lower this box is statistically almost invisible; if it is 1% the daily line is your evaluation. Distributions under stated assumptions, seed shown, no promises.
The rules, worked through
The 4% daily line: why one percentage point moves everything
The daily drawdown is a fixed 4% of the initial account ($4,000), anchored to your equity at the daily reset (5pm ET) and checked against live equity, floating positions included. Do the arithmetic for a four-trades-a-day profile risking 1% ($1,000 per trade): four straight losers lands exactly on the line, and touching it fails the account. A rule that a 5%-daily firm leaves one trade of headroom against, ThinkCapital leaves none, which is why the daily line accounts for 84.8% of the developing profile’s simulated failures, the highest share of any program here. Halve the risk to 0.5% and the same day needs eight straight losers; the simulated failure rate collapses accordingly.
The 8% maximum loss: static, but snug
The overall floor is static at $92,000: profits still bank as cushion, the mechanics are the friendly kind. There is simply less of it: $8,000 of total room where comparable programs give $10,000, against the same 8% Phase 1 target. In simulation the static floor only claims 15.2% of the developing profile’s failures, because the 4% daily line almost always gets there first. Note the encoded variant: this is the Intraday model, which disallows news trading and weekend holding (constraints the engine flags rather than simulates); the Swing model and the drawdown add-on change both the limits and the daily-check basis.
Funded stage: the box does not loosen after you pass
The funded account keeps the 4% daily and 8% overall limits, so passing does not end the tightrope. Simulated over 90 funded trading days with maximum withdrawals each biweekly cycle (a flagged modeling policy): the developing profile’s funded accounts breached 99.8% of the time and only 47.3% ever collected a payout; the consistent profile (48% win rate, 0.75% risk) still breached 50.0% of the time, where the same profile breaches under 20% of the time at the 5%/10% static programs in this dataset. The 0.5%-risk profile breached 0.5% of the time. The pattern is unambiguous: this box punishes position size after funding exactly as it does before.
Fee refund, pricing, and verification status
The recorded price is about $499, refunded in full with the first withdrawal, so expected cost concentrates on those who never fund: $1,135 for the developing profile across its average 3.27 attempts, $82 for the consistent profile, roughly zero for the strongest. The 80% split (upgradable per the firm’s add-ons, not simulated) and 14-day payout cycle are encoded as verified on 2026-01-15. Rules, prices, and add-ons change; ThinkCapital’s program pages are authoritative, and every number above is a seeded Monte Carlo result you can reproduce, not a quote from the firm.
Where these rules come from
Simulated from the open-source rules dataset entry thinkcapital/100k-dual-step (last verified 2026-01-15, against the firm’s published terms and cited sources), simulated with the open-source engine at github.com/LuxAlgo/prop-firm-sim. Rules change; ThinkCapital’s own page is authoritative. Every number above is a seeded Monte Carlo estimate: re-run the same inputs and you get the same digits.
These are reference profiles. You are not one.
Open this exact challenge in the simulator (it restores the encoded rules at seed 42 and runs), then swap in your own win rate, R-multiples, and risk.
Frequent questions.
It depends on your risk size more than anything else. Our Monte Carlo runs (seed 42, 10,000 paths) put a 45% win-rate 1.4R trader risking 1% at 30.5% per attempt, a 48% win-rate 1.6R trader risking 0.75% at 85.9%, and a 52% win-rate 1.8R trader risking 0.5% at 99.9%. That spread is the 4% daily line at work; test your own numbers in the on-page simulator.