Yahoo Finance is a financial news and information website that is operated by Yahoo. It provides a range of financial news, stock quotes, and financial tools, such as stock screeners, portfolio management tools, and currency converters.
Yahoo Finance also offers a range of financial data, including stock prices, market data, and company information. This data can be accessed through the Yahoo Finance website, or through its APIs, which allow developers to integrate financial data into their own applications and websites.
Overall, Yahoo Finance is a popular destination for financial news and information, and it is widely used by investors, traders, and other financial professionals. It provides a range of tools and data that can help users make informed financial decisions.
The yahoo finance api offers price information for various financial assets, including stocks, market indices (ETFs), and cryptocurrencies such as Bitcoin and Ethereum. The API does not require authentication and is a popular source of data that is widely used by investors, traders, and other financial professionals.
Predictive maintenance is a game-changer for the modern industry. Still, it is based on a simple idea: By using machine learning algorithms, businesses can predict equipment failures before they happen and optimize their maintenance cycles to improve efficiency and reduce costs. In this article, we’ll explore the use of machine … Read more
Have you ever wondered how Facebook predicts the future? Meet Facebook Prophet, the open-source time series forecasting tool developed by Facebook’s Core Data Science team. Built on top of the PyStan library, Facebook Prophet offers a simple and intuitive interface for creating forecasts using historical data. What sets Facebook Prophet … Read more
Pandas DataReader is a library that allows data scientists to easily read data from a variety of sources into a Pandas DataFrame. This is especially useful for accessing data that resides outside of their local development environment and needs to be accessed via APIs. The Pandas DataReader provides functions for … Read more
Multi-output time series regression can forecast several steps of a time series at once. The number of neurons in the final output layer determines how many steps the model can predict. Models with one output return single-step forecasts. Models with various outputs can return entire series of time steps and … Read more
Multivariate forecasting models rely not exclusively on historical time series data but use additional features (multivariate = multiple input variables) such as moving averages or momentum indicators. The underlying assumption is that various variables increase the accuracy of a forecast by helping the model identify patterns in the historical data … Read more