Finviz analysis python library.
A free MCP server to analyze and extract insights from public filings, earnings transcripts, financial metrics, stock market data, private market transactions, and deep web-based research within Claude Desktop and other popular MCP clients.
Repository for CIKM 2020 resource track paper: MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction
A bot for collecting Earnings Announcement Transcripts from SeekingAlpha.com
This repository includes our work on extracting the digital transformation strategy of Fortune 500 companies from earnings calls transcripts
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.
The EarningsCall Python library provides convenient access to the EarningsCall API.
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 and 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.
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.
Earning Call Analytics is a solution that helps you extract insights from earnings calls transcripts. It saves you time and errors in analyzing these documents and helps you invest wisely in the stock market 📈
wweEarningCalls Text Analysis
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