Teach risk with a live rulebook, not a slide
PropSurvival's seeded Monte-Carlo simulator runs entirely in the browser — nothing uploaded. It's embeddable on your own course page, reproducible from a seed, and citable: the same engine your students can open themselves.
One tool, three classroom uses
Mechanical, not prescriptive: the simulator reports simulated shares of paths, never advice about what a student should trade.
Classroom demo
Run 5,000 simulated futures live and watch how many hit a written floor — projected, in real time, from one set of inputs the class agrees on first.
Risk lesson
Let students change exactly one dial — risk per trade — and watch the simulated pass probability move in response, with every other input held fixed.
Cohort worksheet
Students run their own trading averages against a shared rule set and record which clause binds first — the drawdown floor, a daily stop, or the horizon.
The exact widget, on your own page
This is the personal-rules survival widget PropSurvival already publishes for embedding — not a simplified stand-in. It runs in the visitor's browser and sends nothing from their inputs anywhere.
One run, four things to record
Self-contained — no download, no attachment. A student works through these steps directly on the simulator page.
- 01
Pick or type a rule set. Choose a published firm's rules, or enter a custom maximum drawdown and (optionally) a daily loss stop.
- 02
Enter your averages. Win rate, average win, average loss, and trades per day — your own numbers, not an assumed profile.
- 03
Run the simulation. The engine draws thousands of alternate paths from those numbers and checks each one against the rule set.
- 04
Record the result. Write down which clause binds first, the simulated pass probability, and the expected number of attempts.
Built to be checked, not taken on faith
Every firm rule carries a source URL, a quote, and a read-date; every run shows its path count and seed, and a seed can be pinned to reproduce one exact run on this engine version.
This is not investment advice. Outputs are modelled probabilities from the inputs supplied — not predictions, and not a recommendation to buy, sell, or continue any evaluation. See the Risk Disclaimer.