Historical data
Historical data is information recorded about past events, observations, outcomes, behaviors, or states and retained for later access or analysis.
Digital Twins in Action
Historical data consists of recorded observations from earlier periods that provide evidence about past states, behavior, or trends.
- How it is used
- Supplies baselines for digital twins and past patterns for predicting future physical-system states.
- How deep it goes
- Works through digitizing archived bills and interpreting a ten-year baseline, but does not detail training a predictive model.
- Examples
- Uses scanned utility bills and a ten-year household consumption timeline, alongside motor-temperature and travel-time predictions.
- What you can do after
- Apply it via Tesseract to recover dated meter readings from archived bills and establish a baseline for later analysis.
Build a Robo-Advisor with Python (From Scratch)
Historical data is recorded information about past asset prices, dividends, and other market events.
- How it is used
- Supports portfolio backtesting by supplying daily prices and dividends for replaying valuation, income, and rebalancing decisions.
- How deep it goes
- Explains retrieval, date formatting, split treatment, dividend handling, and integration into a daily backtest, but not data-quality validation.
- Examples
- Uses yfinance Close-price and dividend series, daily holdings valuation, dividend-income calculation, and portfolio-weight computation.
- What you can do after
- Build a historical-data pipeline with yfinance and supply it to a Python portfolio backtester.
Read how Build a Robo-Advisor with Python (From Scratch) explains historical data →
Related concepts
- large language modelused by · A large language model is a machine-learning model, typically neural, trained on extensive text data to process and generate language.
- offline evaluationused by · Offline evaluation is the assessment of a system using prepared or previously collected data outside live interactions or production traffic.
- counterfactual reasoningused by · Counterfactual reasoning examines hypothetical outcomes under conditions, actions, or policies different from those that actually occurred.
- predictive digital twinused by · A predictive digital twin is a digital twin that forecasts future states or behavior of a physical system from its current state and historical patterns.
- backtestinguses · Backtesting is the retrospective evaluation of a strategy, model, or process by applying it to historical data or cases to assess its performance or effects.
- expiration dateconfigured by · An expiration setting specifies when, or after what duration, an item, data, resource, or right ceases to be valid, available, or retained.
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