Implementing WorldQuant Alpha101 Price and Volume Factors

Summary

This code sample implements parts of the Alpha101 factor set using historical equity fields such as open, high, low, close, volume, returns, and volume-weighted average price. The formulas combine rolling ranks, moving averages, correlations, price changes, volatility measures, and volume ratios to construct candidate signals. Some factor methods return intermediate components, while others are left unimplemented or explicitly noted as unsuitable for the author’s available data.

The sample also demonstrates applying selected calculations by stock and writing resulting columns to a database. It is an incomplete research implementation rather than a validated strategy: several formulas are partial, some methods return no value, and comments flag questionable results or missing industry data. No backtest, predictive performance, transaction-cost analysis, or portfolio construction method is reported, so the factors require verification and evaluation before use.

Key ideas

• The sample calculates candidate equity factors from price, return, volume, and VWAP histories.
• Its factor formulas use rolling statistics, ranks, correlations, and moving averages.
• Some factors are incomplete, return intermediate inputs, or depend on unavailable data.
• The code shows per-stock factor calculation and database storage, but provides no performance evidence.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.