Causal Decision Intelligence
for Capital Markets

Causal Market Insights Reports.
The Causal Intelligence Model (CIM) learns long-term causal structures between economic indicators and stock price trends to identify the underlying dynamics affecting each asset.
Based on these insights, it automatically generates causal analysis reports and provides structured insights that support investor decision-making.
By explaining why markets move and clarifying potential implications, it helps investors bridge the gap between understanding and execution.

Simcode automatically updates daily market reports—including causal factors, contribution analyses, and Causal Ratings—for all U.S.-listed stocks with a market capitalization above USD 100 million.
In addition, Simcode continuously discloses the average prediction accuracy over the past 12 months for all covered stocks, ensuring transparency in its analytics.

This solution employs a causal inference approach distinct from our Causal Market Insights Reports to identify the causal structural patterns underlying non-financial information, corporate disclosures, and market price formation mechanisms.
It quantifies the contribution of IR initiatives—factors traditionally treated as a "black box" in heuristic or correlation-based analyses—by visualizing and measuring these relationships through causal structure analysis.
We are currently advancing development for an early release, with further details to be announced in upcoming updates.