#monte-carlo

Live Monte-Carlo simulation of a trading strategy's outcome that traders run to judge an edge — computed on demand and reproducibly, no key, nothing cached. Run a sequence of trades many times from a win rate, reward-to-risk payoff and risk-per-trade, and get the distribution of final equity, the probability of profit, the probability of ruin and the drawdown distribution; get the modelled chance of blowing up the account; or get the analytical edge — expectancy per trade, breakeven win rate and profit factor. Every run is seeded, so the same inputs always give the same numbers. A strategy-outcome engine, distinct from position-sizing tools and price simulators: it turns an edge into the equity, drawdown and ruin a strategy faces.

api.oanor.com/strategysim-api

Live Monte-Carlo simulation for price and portfolio forecasting that quants, traders and planners run to model uncertainty — computed on demand and reproducibly, no key, nothing cached. Run a geometric-Brownian-motion simulation of an asset and get the terminal-price distribution (percentiles, mean, probability of a gain); get the modelled chance of reaching a target price; project wealth over many years with periodic contributions (a retirement / savings projection); and return one sample price path for charting. Every run is seeded, so the same inputs always give the same numbers. A forward-looking simulation engine, distinct from historical-statistics and option-pricing tools — it turns a drift and volatility into a distribution of outcomes.

api.oanor.com/montecarlo-api