📚 Index for K-Fish: overview + pointers to ksk5429/kfish (private), polymarket-oracle-risk (PyPI), and quant-notes (docs site)
-
Updated
Apr 19, 2026 - Python
📚 Index for K-Fish: overview + pointers to ksk5429/kfish (private), polymarket-oracle-risk (PyPI), and quant-notes (docs site)
End-to-End Python replication of Iadisernia & Camassa’s LLM macroeconomic forecasting methodology (ICAIF 2025). Implements: 2,368 synthetic economist profiles, 120,000+ GPT-4o forecasts across 50 European Central Bank (ECB) SPF rounds, a rigorous ablation study with Monte Carlo & binomial hypothesis testing.
Add a description, image, and links to the llm-forecasting topic page so that developers can more easily learn about it.
To associate your repository with the llm-forecasting topic, visit your repo's landing page and select "manage topics."