Test trading logic in high-liquidity markets without relying on restricted brokerage APIs. Paste historical CSV data, define your risk parameters, and run deterministic Monte Carlo simulations natively in your browser.
Define dataset and simulation logic.
Expects line-separated values or Date,Price format.
Engine Synced
Starting Balance
$10,000.00
Ending Balance
$10,000.00
Profit Factor
0.00
Avg Winning Trade
0.0%
Avg Losing Trade
0.0%
The Dubai Financial Market (DFM) and the broader Middle Eastern crypto hubs operate under unique volatility structures. Institutional quantitative traders require immense processing power to test hypotheses, but standard brokerage APIs often come with strict rate limits, delayed data, or IP restrictions.
Running backtests on external servers (like TradingView or MetaTrader cloud) exposes your proprietary trading alpha. By utilizing an offline, math-only client-side simulator, your logic never leaves your machine. You simply dump your historical CSV price action into the engine, set your parameters, and let the browser's JavaScript engine crunch the Monte Carlo arrays instantly.
A strategy without risk management is merely gambling. The simulator utilizes rigid percentage-based exits:
Unlike visual charting tools that rely on
subjective trendlines, this simulator evaluates performance using pure algebraic thresholds.
If Price < Entry * (1 - SL), the trade is dead.
Testing against historical data can lead to curve-fitting. By selecting the "Monte Carlo" trigger, the system enters trades randomly, stress-testing whether your TP/SL ratios hold up in chaotic environments.