AI Quant Base

Align the inputs

Compute returns and the risk-free rate on compatible periods. State whether the sample standard deviation is used and how missing observations are handled. Comparing a daily return series with an annual risk-free number directly is inconsistent.

Explain annualization

The familiar square-root-of-periods adjustment relies on assumptions about the return process. Serial correlation or non-uniform sampling can make a mechanical adjustment misleading. A ratio without its frequency and method is incomplete.

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A Sharpe ratio does not describe every aspect of tail risk or liquidity. Inspect drawdowns, exposure and the underlying return distribution. A zero-volatility sample also needs explicit handling rather than a silently infinite score.

Sources & references

References support specific definitions or methodological context. Examples and research checklists are explanatory; no performance result is claimed.

Educational guide. No backtest or live trading result is reported on this page.

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Backtesting & risk

How to structure a trading backtest

A backtest applies explicit rules to historical observations under stated execution assumptions. Its value depends on those assumptions and the quality of the underlying data.

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