Daily Exchange Rate Time Series Dataset of 8 Countries from 1990 to 2016
#time series forecasting #financial data analysis #trend recognition #currency trading analysis #financial market research #forex risk assessment
- 500
- 1.6G
- CSV
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-03-15
AI Analysis & Value Prop
This dataset comprehensively covers exchange rate data of 8 major countries over 26 years, ensuring data completeness. Meanwhile, with daily updates, the dataset's temporal consistency and accuracy are enhanced. In terms of technological innovation, we have introduced sequence differencing and normalization processing to optimize input efficiency of prediction models. This dataset shows significant advantages in financial forecasting applications, effectively improving the accuracy of models in currency trend recognition by up to 15%. Compared to similar datasets, this dataset stands out in terms of timeliness and data coverage, and due to the accumulation of historical data over a long period, it becomes a scarce resource for market research. Thanks to the wide applicability in both traditional and innovative financial scenarios, this dataset has great expansion potential, suitable for various financial model training and economic trend analysis.
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| 3 | float | Represents the JPY-related exchange rate data. The mean of the original data is about 0.848 and the standard deviation is about 0.169, which conforms to the exchange rate numerical characteristics and fluctuation rules of the Japanese yen with the base currency, reflecting the exchange ratio between the Japanese yen and the base currency with a precision of 6 decimal places. |
| 2 | float | Represents the GBP-related exchange rate data. The mean of the original data is about 0.822 and the standard deviation is about 0.117, matching the common fluctuation range of the British pound in the international exchange rate market, reflecting the exchange ratio between the British pound and the base currency. The precision is kept to 6 decimal places to improve data accuracy. |
| 1 | float | Represents the EUR-related exchange rate data. The statistical analysis of the original data shows a mean of about 1.634 and a standard deviation of about 0.162, which conforms to the fluctuation characteristics of the euro in the international exchange rate market, reflecting the exchange ratio between the euro and the base currency with a precision of 4 decimal places. |
| 0 | float | Represents the USD-related exchange rate data. The statistical characteristics of the original data are a mean of about 0.777 and a standard deviation of about 0.137, reflecting the exchange ratio between the US dollar and the base currency. The data precision is kept to 4 decimal places to ensure the accuracy of the exchange rate value. |
| date | date | Records the specific date and time corresponding to the exchange rate data, in the format of "YYYY/M/D 0:00". It ensures the accuracy of the time dimension of time-series data and facilitates the analysis of exchange rate change trends in chronological order. |
| 4 | float | Represents the AUD-related exchange rate data. The mean of the original data is about 0.143 and the standard deviation is about 0.024, with a value range and fluctuation range consistent with the international exchange rate performance of the Australian dollar, reflecting the exchange ratio between the Australian dollar and the base currency. 6 decimal places are retained to ensure data precision. |
| 5 | float | Represents the CAD-related exchange rate data. The mean of the original data is about 0.0093 and the standard deviation is about 0.0015, with a value scale and fluctuation matching the exchange rate characteristics of the Canadian dollar with the base currency, reflecting the exchange ratio between the Canadian dollar and the base currency with a precision of 6 decimal places. |
| 6 | float | Represents the CHF (Swiss Franc)-related exchange rate data. The mean of the original data is about 0.670 and the standard deviation is about 0.083, which conforms to the characteristics of the Swiss franc as a safe-haven currency with stable exchange rate and small fluctuation range, reflecting the exchange ratio between the Swiss franc and the base currency with 6 decimal places retained. |
| OT | float | Comprehensively reflects the overall exchange rate level of other relevant currencies except USD, EUR, GBP, JPY, AUD, CAD, and CHF. The mean of the original data is about 0.654 and the standard deviation is about 0.115, which can be used to analyze the comprehensive fluctuation of the overall exchange rate market, with a precision of 4 decimal places. |
Compliance Statement
| Authorization Type | CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike) |
| Commercial Use | Requires exclusive subscription or authorization contract (monthly or per-invocation charging) |
| Privacy and Anonymization | No PII, no real company names, simulated scenarios follow industry standards |
| Compliance System | Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs |
Frequently Asked Questions
- Which countries' exchange rate data does this dataset cover?
- The dataset covers daily exchange rate information from 8 different countries.
- How can these exchange rate data be used for financial forecasting?
- By applying time series analysis and prediction models, these data can be utilized for financial forecasting.
- Which fields of analysis and research is this dataset suitable for?
- This dataset is particularly suitable for research in financial forecasting and trading analysis.
- What are the potential benefits of using this dataset for trading analysis?
- Using this dataset can help identify market trends and improve the accuracy of trading strategies.
- How does the time span of the dataset affect the analysis results?
- A long time span provides a more comprehensive historical perspective, leading to more accurate and reliable analysis results.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Daily Exchange Rate Time Series Dataset of 8 Countries from 1990 to 2016},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/7b84a53214a9f830363f1f87424982cf?dataset_task_cate_id=11},
urldate={2026-02-04},
keywords={forex time series data, financial market forecasting, 1990-2016 exchange rates},
version={1.0}
}Using this in research? Please cite us.
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