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What problem does it solve?

It helps you make better investment and positioning decisions by anchoring your analysis in where you are in the market cycle, separating price from value, and evaluating asymmetry and leverage.

Core Features & Use Cases

• Cycle positioning (“Where are we in the cycle?”): Uses evidence like credit spreads, covenant quality, IPO volume, valuation vs. history, and sentiment to frame forward implications as positioning rather than prediction.
• Second-level thinking: Distinguishes consensus pricing from variant perception so you can identify mispricing and the specific reasons the crowd is wrong.
• Risk and asymmetry: Treats risk as permanent loss, flags leverage-driven fragility, and structures the decision for outcomes where wins exceed losses.

Quick Start

Ask the AI: "Where are we in the cycle for investing in [topic], and what positioning should I take (more aggressive, more defensive, or no change) based on spreads, sentiment, and leverage risks?"