Why Algorithms Buy When Price Falls 📉
14 Dec 2025 · 0 min
0:18
Kosta Ouzas explains a trading insight: when markets pull back, their algorithmic approach increases returns by accumulating larger positions over time during declines. He attributes a key calibration step to "power law support," described as a statistically-derived range that has never been broken. The clip frames buying on price falls as counterintuitively profitable when combined with a support-based calibration.
