Historical data

Q: How deeply does Build a Robo-Advisor with Python (From Scratch) cover historical data?

Explains retrieval, date formatting, split treatment, dividend handling, and integration into a daily backtest, but not data-quality validation.

As explained in Build a Robo-Advisor with Python (From Scratch)

Historical data is recorded information about past asset prices, dividends, and other market events.

Historical data records past asset prices and dividends so a portfolio backtester can replay daily valuation, income, and rebalancing decisions. section 13.4.2

For this use, retrieve split-adjusted Close prices rather than Adjusted Close prices. Keep dividends separate because they arrive as cash instead of being automatically reinvested. section 13.4.2

Historical data in a daily backtest

A Backtest iterates over each price date, marks holdings to current prices, adds dividend income, evaluates target weights, and applies rebalancing trades. The resulting portfolio history can compare strategies under the same market data. section 13.5

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Digital Twins in ActionHistorical data consists of recorded observations from earlier periods that provide evidence about past states, behavior, or trends.

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This explainer was generated by Manning's knowledge graph from the text of Build a Robo-Advisor with Python (From Scratch). The section links point to the parts of the book it draws on.