Whether your approach is discretionary, rule-based, indicator-based, price-action-based, or quantitative, we formalize it into an automated trading system and test it against historical data.
Availability can depend on your broker, exchange, or jurisdiction.
Tell us your strategy, we code it, backtest it, analyze it, then deploy and iterate.
Every automated strategy is evaluated against approximately five years of historical market data, measured backward from the current date.
Historical backtest results are hypothetical and do not guarantee future performance. Actual results may differ due to market conditions, liquidity, spreads, slippage, execution, fees, and other factors. Nothing on this website constitutes investment advice.
The largest peak-to-trough decline observed, a core measure of downside risk.
How often trades succeed, and gross profit relative to gross loss.
Risk-adjusted return measures accounting for volatility and downside deviation.
How capital is allocated per trade and what limits exposure during drawdowns.
Yes. You can bring a discretionary, rule-based, indicator-based, price-action-based, or quantitative strategy in whatever form you have it — written notes, screenshots, historical examples, or existing code.
No. You describe your rules and logic; we handle formalizing them into executable trading code.
We work across forex, crypto, commodities, indices, stocks, futures, and other electronically tradable instruments where appropriate. Availability can depend on your broker or exchange.
Typically approximately five years of historical data, measured backward from the current date, depending on data availability for the chosen instrument.
Historical market data appropriate to the instrument and timeframe of the strategy being tested.
Yes. Backtests can incorporate estimated spreads, commissions, and other transaction costs to produce more realistic results.
Yes. Slippage assumptions can be modeled into the backtest to better reflect real-world execution conditions.
We can help identify parameter sensitivity, weaknesses, and areas for potential refinement based on backtest results.
Yes, including custom Expert Advisors and platform-native automation, depending on the target platform's capabilities.
No. Backtests are historical simulations. They do not guarantee future performance, and actual results can differ due to market conditions, liquidity, spreads, slippage, execution, and fees.
Send us your rules, indicators, or existing code — we'll take it from there.
