acomets / web-scraperLinks
A simple web-scraping script to find all relevant extracts from Earnings Call Transcripts of S&P 500 companies in a given sector containing specified keywords.
☆12Updated 8 years ago
Alternatives and similar repositories for web-scraper
Users that are interested in web-scraper are comparing it to the libraries listed below
Sorting:
- Using NLP techniques for sentiment analysis and topic modeling of quarterly earnings calls☆13Updated 8 years ago
- Earnings Call Sentiment Analysis. This repository includes my work on extracting the focus area of companies from their earnings calls tr…☆15Updated 4 years ago
- A project about text mining on earnings call conference☆9Updated 3 years ago
- Simulation of Financial Models, Valuation Framework, Derivatives and Portfolio Valuation, Volatility Options☆24Updated 5 years ago
- This repository includes our work on extracting the digital transformation strategy of Fortune 500 companies from earnings calls transcri…☆29Updated 4 years ago
- Automatically performs the DCF calculation, sensitivity analysis and Piotroski f-score analysis for a given company. All financial data c…☆48Updated 4 years ago
- Code I built from scratch to scrape Seeking Alpha earnings call transcripts, organized the data in data frames, and stored the final data…☆31Updated 4 years ago
- Finco automates the process of generating financial documentation and valuations for companies traded on the NASDAQ and NYSE. Provides us…☆26Updated 9 years ago
- Documentation and code for downloading, cleaning, munging, and analyzing financial statements filed by publicly traded companies with the…☆103Updated 2 years ago
- Python Jupyter Notebooks for Financial Portfolio Optimization☆35Updated 6 years ago
- Sentiment Analysis on Financial Stocks. Sources of information are Twitter, News, Yahoo Finance Statistics.☆62Updated 12 years ago
- Simple Python utility that downloads and extracts SEC financial statement data sets.☆32Updated 7 years ago
- Sentiment Analysis of news on stock prices☆127Updated 2 years ago
- A library for SEC data extraction, equity valuation, discovery of mispriced stocks☆30Updated 2 years ago
- Capital Asset Pricing Model implementation in python to analyze stock risk and return.☆26Updated 3 years ago
- Option Pricing, Volatility Prediction, Machine Learning, Black Scholas, Web Crawling☆57Updated 8 years ago
- Text information from US companies' SEC EDGAR electronic filings☆113Updated 2 years ago
- Python based Quant Finance Models, Tools and Algorithmic Decision Making☆46Updated 7 years ago
- Analyze central bank announcements☆71Updated 2 years ago
- Visualising correlations between different ETFs using network analytics and Plotly☆34Updated 3 years ago
- Extract financial data from the SEC's EDGAR database☆161Updated 2 years ago
- ☆40Updated 4 years ago
- applications for risk management through computational portfolio construction methods☆43Updated 4 years ago
- A simple python library that allows for easy access of the SEC website so that someone can parse filings, collect data, and query documen…☆126Updated 6 months ago
- Scrape, analyze & visualize stock market data for the S&P500 using Python. Build a basic trading strategy using machine learning to asses…☆89Updated 5 years ago
- Python-based portfolio / stock widget which sources data from Yahoo Finance and calculates different types of Value-at-Risk (VaR) metrics…☆120Updated 4 years ago
- Financial risk analysis on a stocks portfolio through the VaR (Value at Risk), using Monte Carlo Simulation and Multiple Linear Regressio…☆22Updated 4 years ago
- Built a smart beta portfolio and compared it to a benchmark index by calculating the tracking error. Built a portfolio using quadratic pr…☆68Updated 6 years ago
- Scraper/Parser of Fundamental Financial Data for US companies☆23Updated 5 years ago
- Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided …☆130Updated 4 years ago