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.

Evaluation of Sentiment Analysis Scores as an Explanatory Variable for Percent Total Return

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

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

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

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

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

wweEarningCalls Text Analysis

Earnings Momentum Strategy through analysing earnings calls, earnings reports, and technical analysis

MSc in Data Analytics - Research Project - The Prepared Executive: A Linguistic Exploration of Executive Answers in the Q&A Section of Earnings Calls

Find correlation between earnings call transcripts and stock price movements (V1)

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 📈

A Dataset for Industry Classification (IC) using Earnings Conference Call Transcripts - Presented at 32nd European Conference on Operation Research – July 2022

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.

Examining the relationship between earnings calls sentiment and the yield of S&amp 500 stocks