Finviz analysis python library.

An MCP server for public & prediction markets research. Ask natural-language questions and get structured, source-backed answers across SEC filings, earnings transcripts, company financials, stock & crypto market data, and prediction markets news & research. Built for investors, analysts, and researchers who need fast, cited intelligence.

Repository for CIKM 2020 resource track paper: MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction

This repository includes our work on extracting the digital transformation strategy of Fortune 500 companies from earnings calls transcripts

A bot for collecting Earnings Announcement Transcripts from SeekingAlpha.com

The EarningsCall Python library provides convenient access to the EarningsCall API.

Code I built from scratch to scrape Seeking Alpha earnings call transcripts, organized the data in data frames, and stored the final data frames in MySQL.

Earnings Call Sentiment Analysis. This repository includes my work on extracting the focus area of companies from their earnings calls transcripts.

Equity earnings Python package (confirmed calendar, news articles, earnings transcripts, ...)

Advanced RAG pipelines for medical (HealthBench, MedCaseReasoning, MetaMedQA, PubMedQA) and financial (FinanceBench, Earnings Calls) QA. LangGraph orchestration + BAML structructed generation, Milvus Hybrid search (Dense + BM25 + RRF), three-layer Metadata Enrichment, Contextual AI instruction-following reranker, and DeepEval evaluation.

Made for the Google Cloud Vertex AI Hackathon, summarize SEC Earnings reports using NLP, LLMs (PaLM2).

This repository contains Python scripts for collecting financial data from different sources, including an earnings call transcript crawler, an SEC Edgar downloader, and a prospectus and reports collector. The scripts are open-source and easy to use.

The EarningsCall JavaScript library provides convenient access to the EarningsCall API from applications written in the JavaScript language (with TypeScript support).

An OpenAI assistant for use with Aiera's events API.

Expanded earnings call stock prediction model by incorporating different industries and dozens more NLP features

Small search prototype based on weaviate to semantically search over earnings conference call sentences.

NLP pipeline that detects linguistic deception in earnings calls using FinBERT, sentence-BERT Q&A evasion scoring, and XGBoost trained on SEC restatement history.

RAG-powered earnings call Q&A with live news & StockTwits sentiment. Upload any concall PDF and ask questions grounded in the transcript. Uses LangChain, ChromaDB, Groq, and Streamlit.

Advanced financial NLP system developed within the Cambridge × Bank of England program. Extracts supervisory risk signals from JP Morgan & HSBC earnings call Q&A using LLMs, BERTopic and sentiment modelling.