fg-researchForecasting electricity prices with Amazon ChronosChronos is a foundational model for zero-shot probabilistic forecasting of univariate time series [1]. The model converts a time series…Sep 2Sep 2
fg-researchPredicting stock market trends with SageMaker AutopilotBuilding a well-performing machine learning model requires substantial time and resources. Automated machine learning (AutoML) automates…Aug 20Aug 20
fg-researchForecasting exchange rates with long short-term memory networks using the RNN SageMaker algorithmForecasting exchange rates is a critical task for traders, investors, and financial institutions. Even though different machine learning…Aug 11Aug 11
fg-researchForecasting commodity prices with generative adversarial networksForecasting commodity prices is a particularly challenging task due to the intricate interplay of supply and demand dynamics, geopolitical…Jul 31Jul 31
fg-researchForecasting stock returns with liquid neural networks using the LNN SageMaker algorithmStock return forecasting has been extensively studied by both academic researchers and industry practitioners. Numerous machine learning…Jul 7Jul 7
fg-researchForecasting US inflation with random forestsInflation forecasts are used for informing economic decisions at various levels, from households to businesses and policymakers. The…Mar 25Mar 25
fg-researchAn overview of the FRED-MD databaseFRED-MD is an open-source dataset of monthly U.S. macroeconomic indicators maintained by the Federal Reserve Bank of St. Louis. The FRED-MD…Mar 19Mar 19
fg-researchDetecting anomalies in financial time series with the LSTM-AE SageMaker algorithmAnomaly detection in financial time series plays a crucial role in identifying unusual market conditions that could affect trading…Mar 13Mar 13
