Methodology
How we think about strategy performance.
No single metric proves a strategy is good. We focus on data quality, repeatability, out-of-sample behavior, risk and monitoring.
DataUse appropriate history, timeframes and clean inputs.
RulesDefine entries, exits and risk before testing.
ValidationSeparate optimization from evaluation where possible.
RiskReview drawdown, exposure and failure scenarios.
MonitoringCompare expected behavior with actual paper/demo behavior.
What we avoid
Guaranteed-return language, cherry-picked screenshots, one-metric marketing and presenting a backtest as if it were a live audited track record.