EGPBD-An-Event-based-Gold-Prices-Benchmark-Dataset
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资源简介:
EGPB
About Dataset
This benchmark dataset consisting of 8030 rows and 36 variables sourced from multiple credible economic websites, covering a period from January 2001 to December 2022. This dataset can be utilized to predict gold prices specifically or to aid any economic field that is influenced by the variables in this dataset.
Key variables & Features include:
• Previous gold prices
• Future gold prices with predictions for one day, one week, and one month
• Oil prices
• Standard & Poor's 500 Index (S&P 500)
• Dow Jones Industrial (DJI)
• US dollar index
• US treasury
• Inflation rate
• Consumer price index (CPI)
• Federal funds rate
• Silver prices
• Copper prices
• Iron prices
• Platinum prices
• Palladium prices
Additionally, the dataset considers global events that may impact gold prices, which were categorized into groups and collected from three distinct sources: Al-Jazeera website spanning from 2022 to 2019, Investing website spanning from 2018 to 2016, and Yahoo Finance website spanning from 2007 to 2001.
These events data were then divided into multiple groups:
• Economic data
• Politics
• logistics
• Oil
• OPEC
• Dollar currency
• Sterling pound currency
• Russian ruble currency
• Yen currency
• Euro currency
• US stocks
• Global stocks
• Inflation
• Job reports
• Unemployment rates
• CPI rate
• Interest rates
• Bonds
These events were encoded using a numeric value, where 0 represented no events, 1 represented low events, 2 represented high events, 3 represented stable events, 4 represented unstable events, and 5 represented events that were observed during the day but had no effect on the dataset.
Acknowledgements: The majority of data is collected from Yahoo finance website.
Cite this dataset: Farah Mansour and Wael Etaiwi, "EGPBD: An Event-based Gold Price Benchmark Dataset," 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Tenerife, Canary Islands, Spain, 2023, pp. 1-7, doi: 10.1109/ICECCME57830.2023.10252987.
@INPROCEEDINGS{10252987, author={Mansour, Farah and Etaiwi, Wael}, booktitle={2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)}, title={EGPBD: An Event-based Gold Price Benchmark Dataset}, year={2023}, volume={}, number={}, pages={1-7}, doi={10.1109/ICECCME57830.2023.10252987}}
创建时间:
2025-09-10



