A Five-Day Chinese Stock Strategy Combining Growth Filters and Market Capitalization

Summary

This BigQuant example builds a daily Chinese stock portfolio from basic eligibility filters and financial factors. It excludes suspended or specially treated stocks, then requires positive valuation measures, capped price-to-book, and year-over-year growth thresholds for profit and revenue. Eligible shares receive a score based on total market capitalization; the workflow selects ten names and assigns the portfolio’s full target exposure across them. The trading engine checks signals on a five-trading-day rebalance schedule and submits orders at the open.

The page supplies implementation code and configuration, including a historical extraction window and a broad domestic equity benchmark. It does not provide performance statistics, so the code alone does not establish that the approach outperforms. The example also leaves important research questions open, including transaction-cost sensitivity, the precise allocation mechanics, survivorship and point-in-time data handling, and whether the factor filters remain effective across market regimes. Its shown commission settings and order assumptions are illustrative and may not match live trading conditions.

Key ideas

• The example screens Chinese shares for eligibility, profitability growth, revenue growth, and valuation conditions.
• It scores candidates by total market capitalization and selects ten stocks for a fully invested portfolio.
• Signals are acted on at the open using a five-trading-day rebalance schedule.
• The document provides workflow code but no reported results or evidence of outperformance.
• Costs, data timing, allocation behavior, and execution assumptions need further evaluation.

Tags

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