Prop Firm Simulator
Start from a prop-firm playbook, then run a Monte Carlo-style equity-curve simulation that layers in streak clustering, trading frictions, shocks, trailing or static drawdown rules, daily loss caps, and consistency pressure so you can study pass odds and failure pressure before the account has to live through it.
Inputs
Start with a prop playbook. Open rules, friction, or shocks only when you want to tune evaluation pressure.
Start with a prop playbook. Open extra groups only when you want to tune challenge pressure.
Firm presets load a ready-made lane. Save your tuned versions in this browser.
Saved prop presets will appear here after you save one.
Choose an instrument first.
Same seed plus same inputs gives the same path set.
Shows the middle path and the spread between weaker and stronger simulated paths, with rule reference lines for drawdown room and target.
Plain English: This shows how wide the balance path can spread, not just the average line. The lower and upper edge trace the middle 80% range, leaving out the weakest 10% and strongest 10% of simulated paths.
Run the simulator to draw this view.
Shows the share of simulated paths that hit each drawdown level at least once during the test.
Plain English: This is the chance of experiencing at least one dip of a given size.
Run the simulator to draw this view.
Shows when the simulation is usually in a friendly stretch, a rough stretch, a shock hit, or a short cooldown after a shock.
Plain English: This highlights where the simulation is usually easy, difficult, or hit by an extra stress event.
Run the simulator to draw this view.
Shows how often simulated paths finish in each ending-balance range after costs, path effects, shocks, and rule pressure are applied.
Plain English: This shows where the simulation usually finishes.
Run the simulator to draw this view.
Shows how many trades a finished drawdown usually needs before the balance makes a new high again.
Plain English: This is how long recoveries usually take once the account falls behind.
Run the simulator to draw this view.
Floating range bars show the middle 80% balance range at each checkpoint, while the gold line tracks the middle path through the simulation.
Plain English: This shows whether the simulation is widening, stabilizing, or compounding as it moves toward the finish.
Run the simulator to draw this view.
Outcome rates across the full simulation, so you can see how often the scenario fails, passes, survives without passing, or ends roughly flat.
Plain English: This is the scoreboard for how the simulation usually finishes, not just what the average result says.
How Prop Firm Simulation works
This is a Monte Carlo-style prop evaluation simulator. It does not try to forecast the next trade. It generates many alternate account paths from your edge, then tests those paths against drawdown rules, daily loss caps, targets, minimum-day friction, consistency rules, and execution stress.
Each prop playbook gives you a realistic starting point for balance, target, drawdown room, daily loss behavior, and consistency pressure. From there, you tune the edge and risk to match how you actually trade.
Passing is only one part of the story. The simulator also measures how often the path stays alive, how often it breaches, how long passes usually take, and how often consistency rules kill otherwise profitable paths.
Streak clustering, fees, slippage, and shock events make the evaluation behave more like a live prop account instead of a clean spreadsheet challenge with perfect fills and polite sequencing.
The readout focuses on pass rate, rule failure pressure, pass speed, drawdown stress, and recommended risk lane so you can decide whether the current sizing is actually challenge-fit before the rules decide for you.
Method
Most feature-light prop calculators are fine for a quick pass-odds check, but they usually clean away the exact rule pressure that makes an evaluation hard to survive in practice. The comparison below shows what a basic calculator tends to leave out and what this simulator tries to surface instead.
I usually start with the prop playbook that is closest to the firm model I care about, then I tune only the parts that are truly mine: edge, risk, friction, and how much streak pressure I want to respect.
I also treat trades per day as a real rule-pressure input, not just a calendar estimate, because it changes how the simulator groups trades into days for EOD trailing, daily loss, minimum-day, and consistency checks.
The main question here is not just whether the strategy makes money. It is whether the same edge can survive the drawdown lane, avoid daily damage, satisfy consistency, and still reach the target often enough to justify the attempt.
If the pass rate looks workable and the failure pressure stays sane, I know the lane is worth pursuing. If not, I would rather find that out here than after paying for another reset.
| Focus | Normal feature-light simulator | This simulator |
|---|---|---|
| Path model | Limited Usually one expectancy formula or a clean random walk around a fixed edge. | Built in Runs Monte Carlo paths with clustering, shocks, cooldown drag, and path pressure so the equity curve behaves more like something you have to survive. |
| Streak behavior | Missing Wins and losses are often treated like evenly mixed coin flips. | Built in Adds hot and cold clustering so losing patches and favorable runs can bunch together instead of alternating politely. |
| Risk sizing | Basic only Risk is usually fixed and static for the entire run. | Flexible Supports fixed risk, percent-of-equity risk, and drawdown throttling that cuts exposure as the curve weakens. |
| Execution friction | Often missing Often ignores fees, slippage, and ugly fills. | Built in Lets you layer in fee drag and slippage so the simulation pays a cost for trading instead of assuming perfect execution. |
| Shock days | Missing Rare outsized losses or damaged winners are usually missing. | Built in Can model shock events, extra loss penalties, winner haircuts, and cooldown periods after rough conditions. |
| Rule pressure | Usually missing Usually ignores live trailing drawdown, EOD trailing rules, daily loss caps, consistency rules, and minimum-day friction. | Core layer The prop simulator is built around rule pressure first, with live trailing, EOD trailing, static drawdown, DLL, targets, minimum days, and consistency checks in the main workflow. |
| Pass diagnostics | Thin Often stops at raw PnL or one pass estimate without showing how often the path survives, fails, or misses on consistency. | Built in Shows pass rate, risk of failure, pass speed, consistency misses, drawdown pressure, and a prop-specific recommendation lane instead of one pass-or-fail headline. |
| Outputs | Thin Often stops at one ending balance line or a small handful of summary stats. | Focused Shows balance path range, drawdown chance, pass-fail funnel, finish and recovery distributions, checkpoint visuals, outcome rates, and plain-English notes about what is stressing the account. |
This still does not make the tool predictive. It just makes it harder to fool yourself with one smooth average line and a story that collapses the moment friction shows up.