Articles

Backtested evidence, not polished chart examples, should determine whether an indicator earns a place in a real-money trading process.

Seasonality becomes comparable across eight BTS Heatmap views using shared metrics, BTS Strength/Weakness Zones and standardized backtests.

A reliable backtest does more than produce a chart. See the fidelity, frictions, benchmarks and limits that make results worth trusting.

Backtested Strategies gives AI agents a research layer: standardized backtests, source hierarchy, methodology and exact evidence.

A backtest can look convincing and still fail live. See how timing, costs, slippage, liquidity and overfitting can destroy the edge.

Backtest headlines strip away methodology, structure and evidence—the exact context serious investors need before trusting a result.

A Proxy Backtest can answer questions direct replication cannot—but only if the substitutions are honest. See what the proxy really proves.

A signal can look compelling and still fail as a strategy. See the rules, costs and sizing that turn an idea into a complete trading system.

Backtests should be a Proving Ground, not a sales pitch. See the costs, benchmarks and failure modes a credible test must survive.

Standardized backtesting methodology makes strategy comparisons meaningful. See which assumptions must stay fixed before you trust a result.

Benchmark choice directly determines the question a backtest answers: opportunity set, control portfolio, active overlay and trade-offs.