Banking & Finances
❯
Financial Analysis & Trading
❯Forecasting prices of commodities
Forecasting prices of commodities
For:
Trading company, manufacturers, suppliers,
Scope:
Build a neural network to forecast the price of base metal commodities
Goal:
Other
Finance advising and asset management with AI
Scope:
Financial advising and portfolio management for financial institutions and
consumers
Goal:
Other
Forecasting prices of commodities
For:
Trading company, manufacturers, suppliers,Goal:
OtherProblem addressed
Use forecasted prices to interpret trading trends
Scope of use case
Build a neural network to forecast the price of base metal commodities
Description
The trading company has access to very good data to develop
regression models. However, its model was insufficient to
differentiate the impact of long term versus short-term
externalities. As such, a neural network was developed to
ingest both structured market data as well as unstructured
aggregate social media data to improve the inference and
retraining ability to forecast prices.