Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
License information was derived automatically
EGPB - An Event-based Gold Price Benchmark Dataset
This benchmark dataset consists 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: the Al-Jazeera website spanning from 2022 to 2019, the Investing website spanning from 2018 to 2016, and the 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.
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}}
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The yield on Indonesia 10Y Bond Yield rose to 6.58% on July 14, 2025, marking a 0.01 percentage point increase from the previous session. Over the past month, the yield has fallen by 0.11 points and is 0.37 points lower than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Indonesia 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on July of 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The yield on France 10Y Bond Yield rose to 3.43% on July 14, 2025, marking a 0.02 percentage point increase from the previous session. Over the past month, the yield has edged up by 0.21 points and is 0.32 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. France 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on July of 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The yield on Australia 10Y Bond Yield rose to 4.41% on July 15, 2025, marking a 0.04 percentage point increase from the previous session. Over the past month, the yield has edged up by 0.17 points and is 0.17 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Australia 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on July of 2025.
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Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
License information was derived automatically
EGPB - An Event-based Gold Price Benchmark Dataset
This benchmark dataset consists 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: the Al-Jazeera website spanning from 2022 to 2019, the Investing website spanning from 2018 to 2016, and the 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.
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}}