The DXY exchange rate rose to 96.9135 on July 1, 2025, up 0.04% from the previous session. Over the past month, the United States Dollar has weakened 1.82%, and is down by 8.30% over the last 12 months. United States Dollar - values, historical data, forecasts and news - updated on July of 2025.

The EUR/USD exchange rate was unchanged at 1.1786 on July 1, 2025. Over the past month, the Euro US Dollar Exchange Rate - EUR/USD has strengthened 3.02%, and is up by 9.66% over the last 12 months. Euro US Dollar Exchange Rate - EUR/USD - values, historical data, forecasts and news - updated on July of 2025.

The USD/MXN exchange rate fell to 18.7371 on July 1, 2025, down 0.07% from the previous session. Over the past month, the Mexican Peso has strengthened 2.51%, but it's down by 2.59% over the last 12 months. Mexican Peso - values, historical data, forecasts and news - updated on July of 2025.

This dataset contains news headlines relevant to key forex pairs: AUDUSD, EURCHF, EURUSD, GBPUSD, and USDJPY. The data was extracted from reputable platforms Forex Live and FXstreet over a period of 86 days, from January to May 2023. The dataset comprises 2,291 unique news headlines. Each headline includes an associated forex pair, timestamp, source, author, URL, and the corresponding article text. Data was collected using web scraping techniques executed via a custom service on a virtual machine. This service periodically retrieves the latest news for a specified forex pair (ticker) from each platform, parsing all available information. The collected data is then processed to extract details such as the article's timestamp, author, and URL. The URL is further used to retrieve the full text of each article. This data acquisition process repeats approximately every 15 minutes.

To ensure the reliability of the dataset, we manually annotated each headline for sentiment. Instead of solely focusing on the textual content, we ascertained sentiment based on the potential short-term impact of the headline on its corresponding forex pair. This method recognizes the currency market's acute sensitivity to economic news, which significantly influences many trading strategies. As such, this dataset could serve as an invaluable resource for fine-tuning sentiment analysis models in the financial realm.

We used three categories for annotation: 'positive', 'negative', and 'neutral', which correspond to bullish, bearish, and hold sentiments, respectively, for the forex pair linked to each headline. The following Table provides examples of annotated headlines along with brief explanations of the assigned sentiment.

Examples of Annotated Headlines Forex Pair Headline Sentiment Explanation GBPUSD Diminishing bets for a move to 12400 Neutral Lack of strong sentiment in either direction GBPUSD No reasons to dislike Cable in the very near term as long as the Dollar momentum remains soft Positive Positive sentiment towards GBPUSD (Cable) in the near term GBPUSD When are the UK jobs and how could they affect GBPUSD Neutral Poses a question and does not express a clear sentiment JPYUSD Appropriate to continue monetary easing to achieve 2% inflation target with wage growth Positive Monetary easing from Bank of Japan (BoJ) could lead to a weaker JPY in the short term due to increased money supply USDJPY Dollar rebounds despite US data. Yen gains amid lower yields Neutral Since both the USD and JPY are gaining, the effects on the USDJPY forex pair might offset each other USDJPY USDJPY to reach 124 by Q4 as the likelihood of a BoJ policy shift should accelerate Yen gains Negative USDJPY is expected to reach a lower value, with the USD losing value against the JPY AUDUSD RBA Governor Lowe’s Testimony High inflation is damaging and corrosive

Positive Reserve Bank of Australia (RBA) expresses concerns about inflation. Typically, central banks combat high inflation with higher interest rates, which could strengthen AUD. Moreover, the dataset includes two columns with the predicted sentiment class and score as predicted by the FinBERT model. Specifically, the FinBERT model outputs a set of probabilities for each sentiment class (positive, negative, and neutral), representing the model's confidence in associating the input headline with each sentiment category. These probabilities are used to determine the predicted class and a sentiment score for each headline. The sentiment score is computed by subtracting the negative class probability from the positive one.

The dataset captures the dynamic fluctuations in the exchange rate between the United States Dollar (USD) and the Pakistani Rupee (PKR) over an extensive period, spanning from February 1992 to November 2023. This dataset is a valuable resource for analysts, economists, and researchers seeking to understand the historical trends, patterns, and factors influencing the USD to PKR exchange rate.

Dataset Overview:

Temporal Range: Start Date: February 1992 End Date: November 2023

Frequency: Daily exchange rates

Data Fields: Date: The date for each recorded exchange rate. USD to PKR Exchange Rate: The exchange rate indicating how much one USD is equivalent to in PKR on a given day. Change: Change between last price and today Price

Key Insights and Potential Analysis Areas:

Trend Analysis: Identify long-term trends in the exchange rate over the entire duration. Highlight periods of stability, volatility, or significant fluctuations.

Seasonal Patterns: Explore if there are any recurring seasonal patterns influencing the exchange rate.

Economic Events: Correlate major economic events, both global and domestic, with corresponding shifts in the exchange rate.

Impact of Policies: Assess the impact of monetary and fiscal policies on the USD to PKR exchange rate.

Currency Market Dynamics: Analyze how market dynamics, including demand and supply forces, influence the exchange rate.

Inflation and Interest Rates: Examine the relationship between inflation rates, interest rates, and the exchange rate.

Potential Applications:

Investment Planning: Assist investors in making informed decisions based on historical exchange rate trends.

Risk Management: Aid businesses in assessing and managing currency risk exposure.

Economic Research: Facilitate research on the impact of economic indicators on exchange rates.

Government Policy Evaluation: Provide insights for policymakers in evaluating the effectiveness of monetary and fiscal policies.

Conclusion:

This comprehensive USD to PKR exchange rate dataset offers a wealth of information for various stakeholders. Whether analyzing market trends, conducting economic research, or making strategic financial decisions, this dataset serves as a valuable tool for understanding the historical dynamics of the USD to PKR exchange rate over more than three decades.

Crude Oil fell to 64.78 USD/Bbl on July 1, 2025, down 0.50% from the previous day. Over the past month, Crude Oil's price has risen 3.62%, but it is still 21.77% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Crude Oil - values, historical data, forecasts and news - updated on July of 2025.

United States Spot Exchange Rate: Netherlands Guilder to US Dollar data was reported at 1.918 NLG/USD in Oct 2018. This records an increase from the previous number of 1.889 NLG/USD for Sep 2018. United States Spot Exchange Rate: Netherlands Guilder to US Dollar data is updated monthly, averaging 1.984 NLG/USD from Jan 1971 (Median) to Oct 2018, with 574 observations. The data reached an all-time high of 3.739 NLG/USD in Feb 1985 and a record low of 1.398 NLG/USD in Jul 2008. United States Spot Exchange Rate: Netherlands Guilder to US Dollar data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.M015: Spot Exchange Rate.

In the Annual Budget Document, the Budget Office presents information about the annual cost of various city services/fees for the typical ratepayer. These services and fees include Austin Energy, Austin Water, Austin Resource Recovery, the Clean Community Fee, the Transportation User Fee, the Drainage Utility Fee, and the Property Tax Bill. This dataset supports the SD23 measure, "Dollar amount and percentage increase of major rates and fees for a range of customer types" (EOA.C.5.c). It contains the approved and amended rates for the typical ratepayer, the annual dollar change, and the annual percent change for each service/fee. This dataset can be used to help understand the cost of city services over time. View more details and insights related to this dataset on the story page: https://data.austintexas.gov/stories/s/Dollar-Amount-and-Percentage-Increase-of-Major-Rat/56uv-46qi/

Graph and download economic data for Japanese Yen to U.S. Dollar Spot Exchange Rate (DEXJPUS) from 1971-01-04 to 2025-06-20 about Japan, exchange rate, currency, rate, and USA.

This dataset contains daily and monthly data from 2012 to 2022, capturing exchange rate fluctuations of five major currency pairs: EUR/USD, GBP/USD, USD/CAD, USD/JPY, and USD/CHF. It is designed to analyze the impact of climate-related events on exchange rate volatility. In addition to exchange rate data, the dataset includes detailed records of climate disasters in the USA, Eurozone, U.K., Japan, Canada, and Switzerland. These records comprise total estimated economic damage per event and the corresponding Cumulative Abnormal Returns (CARs) calculated around disaster windows to measure financial market reactions. To provide broader climate context, the dataset also features monthly climate indicators such as average temperature and precipitation changes for each country/region. This comprehensive dataset enables empirical analyses of how climate shocks affect currency markets and can support research on the intersection of environmental risks and financial stability.

This table contains 27 series, with data starting from 1981 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) Type of currency (27 items: Australian dollar, monthly average; Brazilian real, monthly average; Chinese renminbi, monthly average; European euro, monthly average; ...).

The USD/BRL exchange rate fell to 5.4782 on June 27, 2025, down 0.20% from the previous session. Over the past month, the Brazilian Real has strengthened 3.70%, and is up by 2.07% over the last 12 months. Brazilian Real - values, historical data, forecasts and news - updated on June of 2025.

This table contains 45 series, with data for years 1950 - 2015 (not all combinations necessarily have data for all years), and was last released on 2016-01-05. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Type of currency (45 items: United States dollar; noon spot rate; average; Danish krone; noon spot rate; average; French franc; noon spot rate; average; Belgian franc; noon spot rate; average ...).

Analysis of ‘Strategic Measure_Dollar Amount and Percentage Increase of Major Rates and Fees’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/40bb1a45-b164-46ef-aa37-c696a74bd962 on 26 January 2022.

--- Dataset description provided by original source is as follows ---

In the Annual Budget Document, the Budget Office presents information about the annual cost of various city services/fees for the typical ratepayer. These services and fees include Austin Energy, Austin Water, Austin Resource Recovery, the Clean Community Fee, the Transportation User Fee, the Drainage Utility Fee, and the Property Tax Bill.

This dataset supports the SD23 measure, "Dollar amount and percentage increase of major rates and fees for a range of customer types" (EOA.C.5.c). It contains the approved and amended rates for the typical ratepayer, the annual dollar change, and the annual percent change for each service/fee. This dataset can be used to help understand the cost of city services over time.

View more details and insights related to this dataset on the story page: https://data.austintexas.gov/stories/s/Dollar-Amount-and-Percentage-Increase-of-Major-Rat/56uv-46qi/

--- Original source retains full ownership of the source dataset ---

Graph and download economic data for Nominal Broad U.S. Dollar Index (DTWEXBGS) from 2006-01-02 to 2025-06-27 about trade-weighted, broad, exchange rate, currency, goods, services, rate, indexes, and USA.

This Cost of International Education dataset compiles detailed financial information for students pursuing higher education abroad. It covers multiple countries, cities, and universities around the world, capturing the full tuition and living expenses spectrum alongside key ancillary costs. With standardized fields such as tuition in USD, living-cost indices, rent, visa fees, insurance, and up-to-date exchange rates, it enables comparative analysis across programs, degree levels, and geographies. Whether you’re a prospective international student mapping out budgets, an educational consultant advising on affordability, or a researcher studying global education economics, this dataset offers a comprehensive foundation for data-driven insights.

Description

Potential Uses

• Budget Planning Prospective students can filter by country, program level, or university to forecast total expenses and compare across destinations.
• Policy Analysis Educational policymakers and NGOs can assess the affordability of international education and design support programs.
• Economic Research Economists can correlate living-cost indices and tuition levels with enrollment rates or student demographics.
• University Benchmarking Institutions can benchmark their fees and ancillary costs against peer universities worldwide.

Notes on Data Collection & Quality

• Currency Conversions All monetary values are unified to USD using contemporaneous exchange rates to facilitate direct comparison.
• Living Cost Index Derived from reputable city-index publications (e.g., Numbeo, Mercer) to standardize disparate cost-of-living metrics.
• Data Currency Exchange rates and fee schedules should be periodically updated to reflect market fluctuations and policy changes.

Feel free to explore, visualize, and extend this dataset for deeper insights into the true cost of studying abroad!

India Foreign Exchange Rate: RBI: Reference Rate: US Dollars data was reported at 85.587 USD/INR in 15 May 2025. This records an increase from the previous number of 85.298 USD/INR for 14 May 2025. India Foreign Exchange Rate: RBI: Reference Rate: US Dollars data is updated daily, averaging 67.183 USD/INR from Apr 1995 (Median) to 15 May 2025, with 7270 observations. The data reached an all-time high of 87.586 USD/INR in 10 Feb 2025 and a record low of 43.949 USD/INR in 27 Jul 2011. India Foreign Exchange Rate: RBI: Reference Rate: US Dollars data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under High Frequency Database’s Foreign Exchange Rates – Table IN.MC001: Foreign Exchange Rate: Reserve Bank of India. [COVID-19-IMPACT]

Series Name: Dollar value of all resources made available to strengthen statistical capacity in developing countries (current United States dollars)Series Code: SG_STT_CAPTYRelease Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 17.19.1: Dollar value of all resources made available to strengthen statistical capacity in developing countriesTarget 17.19: By 2030, build on existing initiatives to develop measurements of progress on sustainable development that complement gross domestic product, and support statistical capacity-building in developing countriesGoal 17: Strengthen the means of implementation and revitalize the Global Partnership for Sustainable DevelopmentFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

The USD/CNY exchange rate rose to 7.1649 on July 2, 2025, up 0.06% from the previous session. Over the past month, the Chinese Yuan has strengthened 0.37%, and is up by 1.89% over the last 12 months. Chinese Yuan - values, historical data, forecasts and news - updated on July of 2025.

Graph and download economic data for Chinese Yuan Renminbi to U.S. Dollar Spot Exchange Rate (EXCHUS) from Jan 1981 to May 2025 about China, exchange rate, currency, rate, and USA.