Independent research / Markets, data & methods

Before you trust
a backtest.

Explore the data, accounting, and assumptions behind quantitative finance. Research notes and plain-English explanations, with the evidence and limits in view.

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Backtesting guides

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Start with the price data, follow the cash, then check what was known at each decision.

  1. Adjusted close vs. raw prices in a backtest

    Choose prices that match your backtest: a worked stock-split example, dividend adjustments, and checks that catch double counting.

  2. Ex-dividend date vs. payment date in a backtest

    A dividend claim is not spendable cash. Follow a worked share-and-cash ledger from the ex-dividend date through payment and reinvestment.

  3. Look-ahead bias in backtesting: check when data was known

    Find future information in a backtest with a worked release-time example, revision checks, and clear boundaries for training and test data.

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How to read this work

The question. The evidence.
What remains unknown.

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