Here you’ll find everything about stock market forecasting. Articles include Python tutorials on feature engineering, univariate forecasting, multi-output forecasting, facebook prophet, or multivariate recurrent neural networks.
Stock market forecasting is the process of using machine learning algorithms to forecast the future prices of stocks. This is a challenging task. The reason is that stock prices are influenced by a wide range of factors, including economic conditions, company-specific events, and market sentiment. As a result, creating accurate forecasts is difficult to achieve. Nevertheless, forecasting financial markets is an important area of study. Many different approaches have been developed to try to improve the accuracy of predictions. These range from simple linear regression models to more complex ones like recurrent neural networks. Understanding these approaches can be useful for investors and traders who are looking to make informed decisions about buying and selling.
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
This article introduces affinity propagation – an unsupervised clustering technique that stands out from other clustering approaches by its capacity to resolve the number of clusters in a dataset. This tutorial shows how the affinity propagation model works by applying it to the cryptocurrency market. If you have followed recent … 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
This tutorial develops a Twitter bot in Python that will generate automated trading signals. The bot will pull real-time price data on various cryptocurrencies (Bitcoin, Ethereum, Doge, etc.) from the crypto exchange Gate.io and analyze it using predefined rules. Whenever the bot detects a relevant price change, it automatically posts … Read more
You can do various things with cryptocurrency price data, such as creating forecasting models, illustrating historical prices, or performing chart analysis. But first, you need to get hold of the data. Nowadays, several APIs provide access to cryptocurrency price data. One of the most important and trusted sources is Coinmarketcap.com. … Read more