This strategy has impressive returns. But what happens when the market changes? I dug into Growi HF inside Quant AI a systematic multi asset long short mean reversion strategy on crypto perps Hyperliquid and others. It targets high annual alpha by fading statistical dislocations across a broad token basket. Historical data shows it thrives in oscillating, range bound markets with moderate volatility. That’s where mean reversion edges compound. The risk flips in different regimes. Strong directional trends and parabolic moves can force repeated stop outs. Liquidation cascades wipe out diversification as correlations spike to 1. Low vol chop turns fee and funding drag into a slow bleed. Narrative pumps punish the short side hard. Drawdowns, leverage, slippage on growing TVL, and model drift in non stationary crypto markets are real. I’d consider it only as a sized, high conviction volatility alpha allocation never as stable yield and only when my outlook favors range bound conditions. Curious how a strategy holds up when the market shifts? Explore strategies and their risks inside Quant AI through my link ➡️ https://t.co/xQVVQFJfSD @tryquantio #QuantAIPioneers