Social arbitrage is not a trading strategy in the narrow sense. It is a research process: identifying situations where social and behavioral data tells a different story from the consensus, and acting on the discrepancy before it closes. The underlying insight is that markets price what is known, but social signals often reflect what is becoming known. The gap between the two is where alpha lives.
This post explains what social arbitrage means in practice, what kinds of discrepancies are most useful, and how to build a systematic process around it.
What social arbitrage actually means
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