Reading Your Results

Company score

The score shown next to each ticker is a normalised number, typically between -1 and +1.

Scores above +0.3 indicate a strong tailwind — the company is structurally well-positioned for this news theme. Scores between +0.1 and +0.3 indicate a moderate tailwind. Scores near zero mean the article has little relevance for the company. Scores below -0.1 indicate a headwind, and scores below -0.3 indicate a strong headwind.

The screener surfaces the top tailwinds and top headwinds from the universe. Companies with near-zero scores are hidden.

Drivers

Each result shows up to three driver dimensions — the individual factors that contributed most to the company's score. Drivers help you understand why a company ranked where it did.

For example, a rate-hike article might rank a highly-leveraged industrial company as a headwind. Its top drivers could be debt burden (high debt relative to earnings), interest rate sensitivity via floating-rate debt, and capex intensity (a capital-heavy business that relies on cheap credit).

Cluster confidence

Each of the eight scoring heads reports a confidence value for the article. A low-confidence head found the article largely irrelevant to its cluster. A high-confidence head found it directly relevant. An article about a Fed decision will show high confidence in the Macro Sensitivity and Financial Structure clusters and low confidence in others.

Company dimension scores (0 to 1)

The underlying dimension values stored per company are rank-normalised within the screened universe. A score of 1.0 means the company is at the top of the group for that dimension; 0.5 is the median. If data was unavailable for a dimension, the company receives a neutral 0.5.

Scores are relative, not absolute. A debt burden score of 0.9 means more leveraged than 90% of companies in the universe — it does not directly show the raw debt-to-EBITDA ratio.