stanley-druckenmiller-investment

To aggregate market analysis signals into a conviction score, this skill synthesizes eight upstream analytical outputs including market breadth, macro regime, and FTD signals. It processes these inputs to generate a unified Druckenmiller-style conviction score and actionable allocation guidance.

The best way to synthesize market breadth and macro regime data is by using a meta-skill that aggregates these upstream signals to classify patterns and output exposure recommendations. This approach produces both machine-readable JSON and user-friendly Markdown allocation reports.

Yes, you can generate machine-readable JSON allocation reports without external APIs because this synthesis skill operates entirely offline. It reads pre-existing upstream reports from the local reports directory and outputs both JSON and Markdown files.

To classify market patterns like Unsustainable Distortion or Policy Pivot Anticipation, the skill evaluates aggregated signals across multiple analytical dimensions. It categorizes the current market environment into specific behavioral patterns to drive conviction scoring and allocation decisions.

Yes, you need specific upstream reports loaded into the reports directory before running the strategy synthesizer. The tool requires these eight pre-generated analytical inputs, covering areas like market top risk and uptrends, to calculate an accurate conviction score.