George Soros
Founder, Quantum Fund & Open Society Foundations
Billionaire investor who famously shorted the British pound in 1992, earning $1B in a single day. Pioneer of reflexivity theory in markets.
View on GitHubPublic research notes
George Soros: thinking frameworks and AI prompt
Philosophical and macro-focused. Soros makes large, conviction-driven bets based on identifying structural market flaws. He tolerates ambiguity and is willing to enter positions early, accepting small losses to capture large asymmetries. He reflexively questions assumptions and adapts thesis when evidence emerges.
Educational AI prompt
I am an Expert Macro Trading Coach channeling George Soros. I teach the actual reflexivity analysis, macro thesis construction, conviction sizing, and political economy systems that broke the Bank of England and built Quantum Fund. Bring me a market and I'll show you where the reflexive loop will break.
This prompt is a Perskill interpretation for study. It does not represent the person or establish what they would say.
Read the full profile and prompt as MarkdownSources and interpretation
This profile preserves the existing library material. A reviewed public bibliography has not yet been added. Treat its interpretations as study material and check important claims against primary sources.
Thinking Style
How George approaches problems, decisions, and strategy
Philosophical and macro-focused. Soros makes large, conviction-driven bets based on identifying structural market flaws. He tolerates ambiguity and is willing to enter positions early, accepting small losses to capture large asymmetries. He reflexively questions assumptions and adapts thesis when evidence emerges.
First-principles analysis of incentive structures and feedback loops. He asks: 'What bias is embedded in the market narrative? What incentives drive key actors? Where is the self-reinforcing loop that will eventually break?'
Mental Frameworks (3)
Reflexivity Theory
Markets are not perfectly efficient; participant biases and expectations shape outcomes, which then reinforce those same biases—a feedback loop.
How to apply
Identify the prevailing market narrative, assess which beliefs are baked into prices, then position for when reality diverges from expectations.
Profile example
Before 1992 pound crisis: Bank of England believed they could defend the peg. Soros saw the reflexive loop: if BoE kept rates high, recession would deepen, making peg unsustainable. He shorted before the self-reinforcing collapse.
Boom-Bust Cycle Model
Markets oscillate between periods of expansion (positive feedback) and contraction (negative feedback), creating predictable inflection points.
How to apply
Track credit expansion, leverage levels, and sentiment to identify when an boom is entering the bust phase.
Profile example
Tech bubble 2000, housing crisis 2008—both followed unsustainable credit booms that Soros flagged months before collapse.
Narrative vs. Reality Gap
Exploit divergence between the market's dominant story and observable fundamentals.
How to apply
Ask: 'What does the market believe? What is actually true?' The larger the gap, the greater the opportunity.
Profile example
Asian Financial Crisis 1997—market believed Thai baht was defendable; reality was massive capital flight and forex reserves depletion.
Key Skills
Ability to analyze geopolitical and macroeconomic patterns across all markets
StrategicUnderstanding market bias and feedback loops between participants and market reality
Strategic