Univariate Stock Market Forecasting using Facebook Prophet in Python
This tutorial gives an overview of Facebook Prophet and shows how to use the framework in Python to create a univariate time series forecast.
Stock Market Forecasting
12 tutorials
Unveiling Hidden Patterns in the Cryptocurrency Market with Affinity Propagation and Python
This tutorial shows how to use affinity propagation to analyze asset clusters in the crypto market using Python.
Stock Market Forecasting Neural Networks for Multi-Output Regression in Python
This tutorial develops a multi-output regression model in Python that generates a multi-day stock market forecast for the S&P500
Automate Crypto Trading with a Python-Powered Twitter Bot and Gate.io Signals
In this article, we will create a Twitter signal bot in Python that analyzes crypto prices for notable events and notifies users on Twitter.
Requesting Crypto Prices from the Coinmarketcap API using Python
Learn how to request crypto price data from the Coinmarketcap REST API and store it in a local SQLite DB using Python and Pewee.
Forecasting Beer Sales with ARIMA in Python
This Python tutorial shows how to use Auto-ARIMA for time series forecasting using the example of forecasting beer sales.
Color-Coded Cryptocurrency Price Charts in Python
Create color-coded cryptocurrency price charts with Python to visualize the lag between price points and the bitcoin halving.
Mastering Multivariate Stock Market Prediction with Python: A Guide to Effective Feature Engineering Techniques
Feature engineering for multivariate time series models using the example of stock market forecasting with Python and Keras Neural Networks.
Stock Market Prediction using Multivariate Time Series and Recurrent Neural Networks in Python
This tutorial shows how to model a multivariate time series using a recurrent neural network to forecast the stock market.
Correlation Matrix in Python: How Correlated are COVID-19 Cases and Different Financial Assets?
COVID-19 has had a strong impact on the global stock market. We can measure this influence with a stock market correlation matrix in Python.
Stock Market Prediction - Adjusting Time Series Prediction Intervals in Python
This tutorial shows how to adjust prediction intervals in time series forecasting using Keras recurrent neural networks and Python.
Stock Market Prediction using Univariate Recurrent Neural Networks (RNN) with Python
This article shows how to train a univariate neural network model for stock market forecasting with Python and Scikit-learn.