A practical reading path through quantitative concepts, indicators and research methods.
AI quant trading uses machine-learning or language-model methods within a rule-based research and trading workflow. The useful question is which task a model performs and how that task is evaluated.
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.
Maximum drawdown measures the largest observed percentage decline from a running equity peak to a subsequent trough in a chosen series.
Maximum drawdown measures the largest observed percentage decline from a running equity peak to a subsequent trough in a chosen series.
CAGR converts the ratio between positive starting and ending values into a constant annual compound rate over a stated holding period.
A Sharpe ratio compares average excess return with the variability of those excess returns. Its interpretation depends on sampling and annualization choices.
A simple moving average is the arithmetic mean of a fixed number of observations. The input field and window determine what it measures.
The relative strength index compares smoothed gains and losses in a price sequence. Its averaging convention is part of the definition used in an implementation.