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MQC Academy

PAPER / SIMULATED ⌂ Command center

Everything Meridian Quant Capital does — what we build, how we prove an edge, the AI team that runs it, and the rules that keep it safe. Start anywhere.

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Learn — the MQC curriculum

Six short modules take you from "what is this firm" to "how it goes live." Your progress is saved on this device.

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Monte Carlo simulator

Runs 2,000 random trajectories from the soak's behavior and shows the distribution of outcomes — percentiles, the odds of a loss or hitting a goal, and how deep the dips get. A simulation, not a forecast or advice.

Roll to simulate →
Median outcome (p50)
Pessimistic → optimistic (p10 · p50 · p90)
Chance of ending below what you put in
Chance of reaching your goal
Worst dip along the way (typical · bad case)
🍀 luckiest run · 💀 unluckiest run (of all paths)

How it works: each run compounds monthly returns drawn from the book's return + volatility. While a soak is young (<30 samples) draws use the validated (deflated) expected return — honest, not the noisy 14-day annualization; once it matures the engine replays the soak's own daily returns (bootstrap). The fan shows the p10–p90 band and median across all paths. Costs are already in the return; no taxes/withdrawals modeled. Paper · NO-GO.

Knowledge base

Reference material, a plain-English glossary, and answers to the questions people actually ask. Search to filter.