george-soros

Reflexivity in investing describes feedback loops where biased market perceptions influence fundamentals, creating boom-bust dynamics. This framework analyzes these loops to anticipate market reversals and mispricings.

To apply reflexivity to a macro market thesis, you establish a theory-first approach that identifies reflexive bias, sets explicit failure conditions, and defines clear exit points to guide strategic decisions.

Yes, you can use reflexivity mental models like the Super-Bubble and fallibility-driven risk assessment to evaluate geopolitical events and open-society-influenced strategic decisions.

Yes, the reflexivity framework requires clearly defined exit points and explicit failure conditions before entering a trade, ensuring disciplined risk management during boom-bust market sequences.

Reflexivity analysis differs from traditional macro investing by focusing on how perception-driven feedback loops distort market fundamentals, rather than assuming markets trend toward equilibrium.

You should avoid using a reflexivity-based approach when markets lack strong perception-driven feedback loops, as the framework requires active reflexive dynamics to identify boom-bust reversals.