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The Global Currency Historical Prices Dataset provides a comprehensive collection of historical data for multiple currencies from around the world. This dataset includes daily open, high, low, and closing prices for each currency. The dataset is updated regularly to include the latest available data.
The dataset includes historical data for a variety of currencies, such as the US dollar, the Euro, the Japanese yen, the British pound, the Canadian dollar, the Swiss franc, the Australian dollar, and many others. This dataset covers a broad range of currencies and includes data from various countries, making it a valuable resource for anyone interested in analyzing global currency trends and patterns.
The data is provided in a user-friendly format, making it easy to download and use. The dataset includes data on currency prices for each day, as well as additional data such as currency exchange rates and volume data. The data is presented in a CSV format, making it compatible with most data analysis and machine learning tools.
This dataset is ideal for researchers, financial analysts, traders, and anyone interested in studying the historical trends and patterns of global currency prices. It can be used for a variety of purposes, such as developing trading strategies, backtesting models, and creating machine learning models for predicting future currency prices.
Overall, the Global Currencies Historical Prices Dataset is a valuable resource for anyone looking to analyze the historical trends and patterns of global currency prices. It provides comprehensive data on multiple currencies from various countries, making it an excellent tool for financial analysis and research.
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TwitterDownload Historical Forex - EURUSD Euro/United States Forex Data. CQG daily, 1 minute, tick, and level 1 data from 1899.
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Twitterhttp://www.gnu.org/licenses/agpl-3.0.htmlhttp://www.gnu.org/licenses/agpl-3.0.html
This dataset contains historical data saved from Oanda Brokerage. The columns represent the Bid and Ask price for every minute / hour. There are also news downloaded form Investing.com. These can be used to forecast the trend of the Forex market with machine learning techniques.
The data is downloaded from Quantconnect.com. If they have any concerns, I will remove it instantly.
The reason I am sharing this dataset is because I struggled so much to find good quality data which is large enough to train trading algorithms. Feel free to use this dataset in your kernels.
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TwitterDownload Historical Forex - USDJPY Japan (Yen) Forex Data. CQG daily, 1 minute, tick, and level 1 data from 1899.
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HistData FX 1m
This is an export in the parquet format of the histdata.com dataset, which contains mostly Forex market tickers data. For each symbol, 2 files are provided:
ticks.parquet contains the ticker (ohlc) data gaps.parquet contains the reported time gaps
The timestamps are converted from the original EST timezone to UTC.
Ticks
The ticks.parquet files have the following schema: { 'ts': pl.Datetime, 'open': pl.Float64, 'high': pl.Float64, 'low':… See the full description on the dataset page: https://huggingface.co/datasets/elthariel/histdata_fx_1m.
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TwitterU.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
This dataset was generated by parsing PDFs released by the US Treasury for foreign exchange. An edited version (quarterly-edited.csv) includes fixes for typos in the Treasury data.
Usage caveats from the documentation:
"Exceptions to using the reporting rates as shown in the report are: * collections and refunds to be valued at specified rates set by international agreements, * conversions of one foreign currency into another, * foreign currencies sold for dollars, and * other types of transactions affecting dollar appropriations. (See Volume I Treasury Financial Manual 2-3200 for further details.)
Since the exchange rates in this report are not current rates of exchange, they should not be used to value transactions affecting dollar appropriations."
Additional caveats:
This unified dataset should be used only for reference or ballpark estimation, and not for anything like automated valuation. The reason is because there's still a lot of messiness involving countries and changing units- when in doubt or if required, please do additional research to confirm the historical rates are indeed as stated.
Future plans:
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TwitterDownload Historical Forex - EURJPY Euro/Japan Forex Data. CQG daily, 1 minute, tick, and level 1 data from 1899.
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TwitterOpen Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
License information was derived automatically
This dataset was created by komo
Released under Database: Open Database, Contents: © Original Authors
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TwitterIntraday 1 minute sample data for Forex - EURCHF Euro/Switzerland IEURCHF timestamped in Chicago time
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TwitterAttribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
License information was derived automatically
I am a new developer and I would greatly appreciate your support. If you find this dataset helpful, please consider giving it an upvote!
Complete 1h Data: Raw 1h historical data from multiple exchanges, covering the entire trading history of BTCUSD available through their API endpoints. This dataset is updated daily to ensure up-to-date coverage.
Combined Index Dataset: A unique feature of this dataset is the combined index, which is derived by averaging all other datasets into one, please see attached notebook. This creates the longest continuous, unbroken BTCUSD dataset available on Kaggle, with no gaps and no erroneous values. It gives a much more comprehensive view of the market i.e. total volume across multiple exchanges.
Superior Performance: The combined index dataset has demonstrated superior 'mean average error' (MAE) metric performance when training machine learning models, compared to single-source datasets by a whole order of MAE magnitude.
Unbroken History: The combined dataset's continuous history is a valuable asset for researchers and traders who require accurate and uninterrupted time series data for modeling or back-testing.
https://i.imgur.com/OVOyF5A.png" alt="BTCUSD Dataset Summary">
https://i.imgur.com/6hxG2G3.png" alt="Combined Dataset Close Plot"> This plot illustrates the continuity of the dataset over time, with no gaps in data, making it ideal for time series analysis.
Dataset Usage and Diagnostics: This notebook demonstrates how to use the dataset and includes a powerful data diagnostics function, which is useful for all time series analyses.
Aggregating Multiple Data Sources: This notebook walks you through the process of combining multiple exchange datasets into a single, clean dataset. (Currently unavailable, will be added shortly)
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Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
This dataset contains ethereum (ETH) data since 2024-01-01 00:00. It is labeled by our team to make it easier for model to learn it well. it is labled based on the 20 previous candles. It covers all four data extracted from each candle like High, Low, Volume, Open, Close. wish it is helpful and you can use it to make the best out of it.💪
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TwitterDownload Historical Forex - GBPJPY Great Britain/Japan Forex Data. CQG daily, 1 minute, tick, and level 1 data from 1899.
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TwitterThis dataset was created by barry stander
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Graph and download economic data for Canadian Dollars to U.S. Dollar Spot Exchange Rate (DEXCAUS) from 1971-01-04 to 2025-11-28 about Canada, exchange rate, currency, rate, and USA.
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Graph and download economic data for Nominal Broad U.S. Dollar Index (DTWEXBGS) from 2006-01-02 to 2025-11-28 about trade-weighted, broad, exchange rate, currency, goods, services, rate, indexes, and USA.
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Graph and download economic data for Swiss Francs to U.S. Dollar Spot Exchange Rate (DEXSZUS) from 1971-01-04 to 2025-11-28 about Switzerland, exchange rate, currency, rate, and USA.
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TwitterDownload Historical Forex - USDHUF Hungary (Forint) Forex Data. CQG daily, 1 minute, tick, and level 1 data from 1899.
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Graph and download economic data for Japanese Yen to U.S. Dollar Spot Exchange Rate (EXJPUS) from Jan 1971 to Oct 2025 about Japan, exchange rate, currency, rate, and USA.
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Graph and download economic data for U.S. Dollars to U.K. Pound Sterling Spot Exchange Rate (DEXUSUK) from 1971-01-04 to 2025-11-28 about United Kingdom, exchange rate, currency, rate, and USA.
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Graph and download economic data for Thai Baht to U.S. Dollar Spot Exchange Rate (EXTHUS) from Jan 1981 to Oct 2025 about Thailand, exchange rate, currency, rate, and USA.
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Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
The Global Currency Historical Prices Dataset provides a comprehensive collection of historical data for multiple currencies from around the world. This dataset includes daily open, high, low, and closing prices for each currency. The dataset is updated regularly to include the latest available data.
The dataset includes historical data for a variety of currencies, such as the US dollar, the Euro, the Japanese yen, the British pound, the Canadian dollar, the Swiss franc, the Australian dollar, and many others. This dataset covers a broad range of currencies and includes data from various countries, making it a valuable resource for anyone interested in analyzing global currency trends and patterns.
The data is provided in a user-friendly format, making it easy to download and use. The dataset includes data on currency prices for each day, as well as additional data such as currency exchange rates and volume data. The data is presented in a CSV format, making it compatible with most data analysis and machine learning tools.
This dataset is ideal for researchers, financial analysts, traders, and anyone interested in studying the historical trends and patterns of global currency prices. It can be used for a variety of purposes, such as developing trading strategies, backtesting models, and creating machine learning models for predicting future currency prices.
Overall, the Global Currencies Historical Prices Dataset is a valuable resource for anyone looking to analyze the historical trends and patterns of global currency prices. It provides comprehensive data on multiple currencies from various countries, making it an excellent tool for financial analysis and research.