Combining Yesterday’s Leaderboard Activity with a Moving-Average Trend Filter
Summary
This stock-screening approach ranks shares by reported buy and sell amounts in the previous day’s trading leaderboard, then filters for names with leaderboard activity and a 20-day moving average above the 120-day average. The ranking is intended to highlight stronger money flows, while leaderboard inclusion serves as a sign of recent market attention and the moving-average comparison selects stocks with a stronger short-term trend.
The document suggests adding volume and turnover filters and using exponential moving averages, but provides no performance data or backtest results to support the proposed rationale. It also warns that leaderboard figures may be manipulated and moving-average calculations may not reflect actual conditions. The final description mentions volume and turnover, but does not define thresholds or how to combine those measures with the ranking. No reproducible implementation or validation details are provided.
Key ideas
- Rank stocks by leaderboard buy and sell amounts to compare reported capital activity.
- Require previous-day leaderboard inclusion and a 20-day average above the 120-day average.
- Volume, turnover, and exponential moving averages are suggested as possible refinements.
- The document gives no performance evidence and flags possible data manipulation and calculation inaccuracies.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.