A-Share Quant Meetup: Industry Factors and Execution Behavior
Summary
This meetup outline raises questions about constructing sector or industry factors, measuring correlations among industries, and choosing industry classifications that reflect granularity and supply-chain relationships. It identifies these as topics for discussion but does not provide a factor construction method, data, or empirical findings.
The practical answers concern a trading engine's opening-order behavior. If an opening signal does not execute immediately, the order may queue, with execution depending on its place in the queue. A strategy configured to buy at the open treats an open equal to the day's low as an opening-price purchase; manual intraday trades are possible but are not included in the strategy's reported returns. The outline also asks about fixed holding periods in backtests and mature A-share limit-up strategies, without answering those questions. It is therefore a brief collection of meetup topics and platform-specific clarifications, not a complete trading methodology.
Key ideas
- Industry factor research can consider sector returns, inter-industry correlations, classification granularity, and supply-chain links.
- An opening order that does not execute immediately may remain queued, with fills depending on queue position.
- A strategy configured to buy at the open treats an opening price equal to the daily low as an opening-price purchase.
- Manual intraday trades are not included in the strategy's reported returns.
- The meetup outline raises questions about fixed holding periods and A-share limit-up strategies but does not answer them.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.