This strategy targets the spectral periodicity premium in US equities, seeking to exploit predictable, periodic patterns in tick flow. The core alpha thesis relies on custom spectral tick flow signals to identify stocks exhibiting the strongest periodic execution characteristics, measured by the proportion of volume variance explained by cyclical components. Operating within a dynamic universe of the 100 highest dollar volume equities that possess fundamental data, the model filters for high periodicity securities and evaluates their execution intensity using a 63-day exponential moving average of daily execution scores. Rebalancing occurs weekly at the start of the trading week. The portfolio enters long positions in the top quintile of eligible stocks demonstrating the highest periodicity scores. Position sizing is dictated by relative execution intensity, assigning a baseline weight augmented by each security's current execution intensity relative to the peak within the selected cohort. These raw weights are normalized to ensure full capital deployment with 100 percent long exposure. The strategy systematically liquidates positions that fall out of the top quintile, maintaining a concentrated portfolio that captures recurrent microstructure anomalies while avoiding traditional fundamental or momentum factors. https://www.quantconnect.com/research/21066/intraday-volume-periodicity/p1