Finviz analysis python library.
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Updated
Oct 3, 2024 - Jupyter Notebook
Finviz analysis python library.
Repository for CIKM 2020 resource track paper: MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction
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.
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
Earnings Call Sentiment Analysis. This repository includes my work on extracting the focus area of companies from their earnings calls transcripts.
Made for the Google Cloud Vertex AI Hackathon, summarize SEC Earnings reports using NLP, LLMs (PaLM2).
Equity earnings Python package (confirmed calendar, news articles, earnings transcripts, ...)
An OpenAI assistant for use with Aiera's events API.
Evaluation of Sentiment Analysis Scores as an Explanatory Variable for Percent Total Return
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.
Small search prototype based on weaviate to semantically search over earnings conference call sentences.
The EarningsCall Python library provides convenient access to the EarningsCall API.
Expanded earnings call stock prediction model by incorporating different industries and dozens more NLP features
wweEarningCalls Text Analysis
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 📈
Earnings Momentum Strategy through analysing earnings calls, earnings reports, and technical analysis
Prediction of abnormal return of selected publically trading pharma companies using NLP techniques and tools; special focus on graph-based representation of transcripts of a conversation.
MSc in Data Analytics - Research Project - The Prepared Executive: A Linguistic Exploration of Executive Answers in the Q&A Section of Earnings Calls
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