Agent-native investment research workspace for evidence-tracked, refreshable investment theses across equities, earnings, macro, and portfolio review.
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Updated
Sep 8, 2026 - Python
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.
Real-Time Mobile Payment Alerts Overlays
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.
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.
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.
AI + IR 工作助手 Skill:新闻与同业简报、投资者问题雷达、财报问答、人工确认会议反馈;可追溯证据、80项测试、完整恢复与更新说明。
Automated earnings analysis and stock price prediction using LLMs and financial data
把财报数字翻成因果链:一次性扰动还是结构性变化? | Earnings numbers into causal chains, not a list of what rose · 📮 wow.vip@foxmail.com · 🎬 https://v.douyin.com/07EjIDGVErY/
AI agent for turning a day of earnings results into a ranked investor briefing, built with Agentic Star.
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.
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.
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