Library/Orthogonal Precision in Trepa: A Tunable Second-Order Oracle for High-Frequency Forecasting
DesignResearch Paper

Orthogonal Precision in Trepa: A Tunable Second-Order Oracle for High-Frequency Forecasting

Ilich Blanco, Jong-Chan Chung, Leon Meka·May 13, 2026·Academic Paper
a beauty contest equilibrium is not an oracle, it's a mirror

Why It's Worth Reading

Analyzes Trepa's high-frequency forecasting contest on Solana and shows its current design (median error cutoff, steep accuracy weights) induces a Keynesian beauty contest equilibrium that underweights private information. Introduces the orthogonal precision multiplier, a mechanism that rewards accurate forecasts decorrelated from the consensus, transforming Trepa into a tunable second-order oracle. Proves equilibrium existence via potential game theory, quantifies information gain through mutual information, and addresses practical vulnerabilities including oracle latency, median instability, and collusion.

Extensive technical background assumed

Concepts

Platforms mentioned: Solana, Trepa, Binance

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