Ranking Stocks with Recent Limit-Up Features

Summary

This stock-ranking strategy adds recent price-limit activity to a set of price, volume, technical, and financial features. The document explains that the limit-status field uses separate values for limit-down, no limit, and limit-up days; summing the last ten days’ values is proposed as a rough feature where higher totals indicate more limit-up activity. The strategy uses a StockRanker model and adjusts its leaf count, minimum samples per leaf, and number of trees to account for the larger feature set and reduce underfitting.

The model is trained on 2015–2022 data and backtested on 2023–2024 data. It holds five stocks with equal weights for five days. No return, benchmark comparison, transaction-cost assumptions, or robustness analysis is reported, so the description does not establish whether the feature improves performance. The status sum also mixes limit-up and limit-down information, which may complicate its interpretation as a count of limit-up events.

Key ideas

• The strategy combines price-limit history with price, volume, technical, and financial features.
• The limit-status values are summed across the prior ten days as a model input.
• The StockRanker settings are adjusted to account for the larger feature set.
• The described portfolio holds five equally weighted stocks for five days.
• The stated training and backtest periods do not include reported performance results.

Tags

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