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earnings-analysis

Here are 14 public repositories matching this topic...

📈 Analyze press releases to predict earnings announcement returns using structured data and natural language processing techniques.

  • Updated Oct 13, 2026
  • Jupyter Notebook

Open-source personal finance command center: direct indexing, tax-loss harvesting, retirement planning, options research, and AI-assisted workflows.

  • Updated Oct 31, 2026
  • Python

2 default research skills + 7 read-only MCP tools: extract SEC financials, check mapped earnings claims against reviewed evidence, correct supported numeric errors, and replay historical cutoffs. 3 free offline examples. Python CLI + portable Skill; 12 skill folders including upstream modules.

  • Updated Nov 4, 2026
  • Python

This script utilizes the SEC EDGAR API to download HTML copies of SEC filings in an easy-to-use, compliantly polite, and incredibly effective script.

  • Updated Dec 10, 2025
  • Python

End-to-End Python implementation of Wu et al.'s (2025) ICAIF'25 paper. It translates unstructured earnings press releases into quantifiable market signals. Implements oLDA topic modeling, Transformer embeddings (BERT/FinBERT/MPNET), GPT-4o interpretability, and rigorous econometric analysis.

  • Updated Oct 12, 2025
  • Jupyter Notebook

Scores real earnings press releases with a Loughran-McDonald finance dictionary and a from-scratch JAX transformer trained on Financial PhraseBank, then runs a proper market-model event study testing whether either score predicts post-earnings abnormal returns.

  • Updated Aug 1, 2026
  • Python

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