CheckMyAlgo
The ultimate institutional-grade backtesting and tick-level trade replay platform for algorithmic and discretionary traders.
Deployment model: Freemium / Trader Pro
checkmyalgo.com
PRODUCTION DEPLOY
THE IDEA
A clearer way forward.
CheckMyAlgo is a high-performance quantitative backtesting and trade replay platform engineered for financial market traders, quant developers, and prop firm candidates.
Built to bridge the gap between theoretical strategy ideas and real-market profitability, CheckMyAlgo provides 15+ years of institutional-grade tick data across Futures (NQ, ES), Forex, and Crypto. Traders can execute bar-by-bar market replays with customizable speed controls to sharpen their execution skills outside market hours.
The algorithmic engine models real-world trading constraints including variable slippage, broker commissions, spread fluctuations, and liquidity constraints. Deep analytics instantly calculate Win Rate, Profit Factor, Sharpe Ratio, Maximum Drawdown, and Monte Carlo confidence intervals.
What it helps you do
- Institutional-grade historical tick data and bar-by-bar trade replay engine
- Quantitative strategy backtesting with multi-timeframe validation
- Real-world market execution simulation with slippage and commission modeling
- Comprehensive trade analytics: Win Rate, Profit Factor, Sharpe Ratio, Expectancy
- Monte Carlo risk simulation and maximum drawdown stress-testing
- Multi-market dataset coverage across US Equities, Futures, Crypto & Forex
- Strategy parameter optimization and custom entry/exit rule builder
A closer look
A FEW MORE DETAILS
Questions, answered.
CheckMyAlgo utilizes high-resolution, institutional-grade historical tick data and continuous contract feeds with 15+ years of historical depth.
Yes, the Trade Replay engine allows you to step through historical price action candle-by-candle with adjustable speeds to practice discretionary executions.
Yes, CheckMyAlgo includes customizable slippage, spread, and commission modeling to ensure backtested results accurately reflect live market conditions.
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