
Trendline metadata inform high frequency trading algorithms, advertising algorithms, and bandwidth balancing algorithms. Trendline metadata inform mitigation choices, budget priorities, and policy. When a trendline measures cumulative events, the shape is called “convex” if the underlying data is increasing in frequency. Similarly, the trendline’s shape is called “concave” if the underlying data is decreasing in frequency.
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