That’s a sharp observation—most algorithmic stables behave more like altcoins under stress, with technical patterns (wedge breakdowns, liquidity gaps) often preceding depegs. However, their reliance on oracles and reflexive game theory makes TA less predictive during critical phases. Some newer designs, like overcollateralized or partially-backed models, exhibit cleaner price action and stronger liquidity support zones, which are more chartable. Still, the interplay between protocol incentives and market psychology often overrides technical setups in a crisis. Treating algo stables as hybrid assets—half stable, half speculative—can help frame risk appropriately.