earnings-analysis

Agent-native investment research workspace for evidence-tracked, refreshable investment theses across equities, earnings, macro, and portfolio review.

quick earnings analysis with consensus Wall Street forecast, with past guidance, with peer industry trend.

价值投资研究元技能：融合巴菲特、芒格、段永平、李录四大方法论，内置 19 个专业投研命令，智能路由加质量保障的统一研究入口。

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

Real-Time Mobile Payment Alerts Overlays

Quant AI is an AI stock research assistant and AI quantitative research assistant for market data, charts, earnings, SEC filings, crypto, commodities, and investment theses. Official public hub for aiquant.io.

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

Automated earnings analysis and stock price prediction using LLMs and financial data

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.

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.

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.