Stock Selection with Positive MACD, Momentum, and Popularity Ranking
Summary
This document presents a stock-selection rule that requires MACD above zero and positive returns, then ranks candidates by individual-stock popularity. It describes running the selection after the market opens and provides an example using minute-level stock data, a MACD calculation, positive percentage change, and turnover rate as the ranking field. It also discusses adding price, volume, or valuation filters and using backtesting to refine constraints.
No performance results are reported. The article cautions that historical data may produce sampling bias, the selected stocks may cluster in one industry, and equal allocation may not match the intended risk-return profile. Its example uses turnover rate for ranking, which is not identical to the stated popularity ranking, and the sample MACD calculation may not exactly match a full conventional MACD signal. The proposed extensions and risk controls are suggestions, not validated improvements.
Key ideas
- The selection rule requires MACD above zero and positive returns, then ranks eligible stocks by popularity.
- The document describes running the screen after the market opens.
- Its example uses turnover rate as a ranking proxy and minute-level prices for the filter.
- Historical sampling bias and industry concentration may weaken the strategy's generalizability.
- Equal weighting can expose the portfolio to uneven risk across positions, and no performance evidence is supplied.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.