Artificial Neural Networks Help Predict Crude Oil Prices with andCommodity Futures Data
| Source: Dev.to | Original article
Researchers develop AI model to predict crude oil prices using neural networks and futures data.
Researchers have developed a forecasting model for crude oil prices using artificial neural networks and commodity futures prices. This innovative approach aims to improve the accuracy of crude oil price predictions, which is notoriously difficult due to the numerous factors that affect prices.
The use of artificial neural networks (ANN) has shown promise in forecasting monthly crude oil prices, with studies utilizing data from as far back as 1990 to develop and test these models. By leveraging multilayer feedforward neural networks, researchers can forecast crude oil spot price direction in the short-term, up to three days ahead.
As the global economy continues to be impacted by crude oil prices, the development of accurate forecasting models is crucial. This new approach, combining artificial neural networks with commodity futures prices, may provide a more reliable method for predicting price fluctuations. Further research and testing will be necessary to refine these models and determine their effectiveness in real-world applications.
Sources
Back to AIPULSEN