Prices for DXY Dollar Index including live quotes, historical charts and news. DXY Dollar Index was last updated by Trading Economics this August 9 of 2025.

Prices for TRYUSD Turkish Lira US Dollar including live quotes, historical charts and news. TRYUSD Turkish Lira US Dollar was last updated by Trading Economics this August 9 of 2025.

Graph and download economic data for Nominal Broad U.S. Dollar Index (DTWEXBGS) from 2006-01-02 to 2025-08-01 about trade-weighted, broad, exchange rate, currency, goods, services, rate, indexes, and USA.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Dollar Index (Live)

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

The first column is the node labels, the second the 15 currency areas, the third the names of the local currency exchange rates with USD and the fourth the stock indices. Notice that the first column is the node label seen in the networks in Fig 6(e) and 6(f).

United States Money Supply M1: sa: Currency in Circulation data was reported at 1,617.200 USD bn in Oct 2018. This records an increase from the previous number of 1,610.700 USD bn for Sep 2018. United States Money Supply M1: sa: Currency in Circulation data is updated monthly, averaging 211.350 USD bn from Jan 1959 (Median) to Oct 2018, with 718 observations. The data reached an all-time high of 1,617.200 USD bn in Oct 2018 and a record low of 28.500 USD bn in Jan 1959. United States Money Supply M1: sa: Currency in Circulation data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s United States – Table US.KA005: Money Stock, Liquid Assets and Debt Measures: Monthly.

Data Source: This dataset was sourced from Yahoo Finance (finance.yahoo.com). Historical Time Period: The dataset covers historical currency exchange rate data for the USD/EUR currency pair from January 1, 2021, to September 30, 2023. Currency Pair: The currency pair being tracked in this dataset is USD/EUR, where USD represents the United States Dollar and EUR represents the Euro. Columns in the Dataset:

Date: This column represents the date when the currency exchange rate data was recorded. It covers the entire time period from January 1, 2021, to September 30, 2023.

Open: This column displays the opening exchange rate at the beginning of each trading day within the specified time frame. It indicates the starting rate for USD/EUR.

High: This column records the highest exchange rate observed during each trading day within the time frame. It shows the peak value reached by USD/EUR on each day.

Low: The "Low" column indicates the lowest exchange rate observed during each trading day within the given time period. It represents the lowest value of USD/EUR on each day.

Close: This column represents the closing exchange rate at the end of each trading day within the specified date range. It shows the final rate for USD/EUR on each day.

Adj Close: "Adj Close" represents the adjusted closing price for stocks, accounting for factors like dividends and stock splits.

Volume: The "Volume" column tracks the trading volume, indicating the total number of USD and EUR units traded on each trading day during the time period. It provides insights into the level of trading activity for the USD/EUR currency pair.

This dataset is valuable for analyzing historical trends and fluctuations in the USD/EUR exchange rate over the specified time frame, which can be useful for various financial and analytical purposes.

GBP/USD's 50–SMA rate slightly changed on May 13, 2025, pulled towards ****, while the 200–SMA rate recorded at ****. The Simple Moving Average or SMA is a common metric used within stock and FX market analysis, and especially focuses on long-term trends. The 200-day SMA, especially, is considered very important, as it displays the average price of a stock or currency over the past 200 days (or 40 weeks of trading). If the price of the asset remains above this average, it is generally considered to be in an upwards trend.

The USD to ruble value lost significant ground after Russia's invasion of Ukraine, reaching a low of 135 rubles in March 2022. This devaluation is also observed in a chart that compares the monthly average of the ruble against both the U.S. dollar and the euro since 2008. A decline started in November 2020 and continued into 2021; no specific reason was given for the timing of this development. Interestingly, the USD/RUB exchange rate reached its highest point earlier in 2020, as one U.S. dollar could buy nearly 80 rubles in March 2020. Values were noticeably different years later, however, as the USD/RUB exchange rate was valued at 80 on August 6, 2025.

Prices for USDJPY US Dollar Japanese Yen including live quotes, historical charts and news. USDJPY US Dollar Japanese Yen was last updated by Trading Economics this August 3 of 2025.

👏**Upvote this dataset if you find it interesting!**

Amazon.com, Inc. engages in the retail sale of consumer products and subscriptions through online and physical stores in North America and internationally. It operates through three segments: North America, International, and Amazon Web Services (AWS).

The dataset includes the daily Amazon.com, Inc. stock price.

Money Supply M1: Wkly: sa: Currency in Circulation data was reported at 1,589.600 USD bn in 16 Jul 2018. This records an increase from the previous number of 1,585.900 USD bn for 09 Jul 2018. Money Supply M1: Wkly: sa: Currency in Circulation data is updated weekly, averaging 389.300 USD bn from Jan 1975 (Median) to 16 Jul 2018, with 2272 observations. The data reached an all-time high of 1,589.600 USD bn in 16 Jul 2018 and a record low of 67.200 USD bn in 06 Jan 1975. Money Supply M1: Wkly: sa: Currency in Circulation data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.KA004: Money Stock, Liquid Assets and Debt Measures.

What is WELLS FARGO?

Wells Fargo & Company (NYSE: WFC) is a diversified, community-based financial services company with $1.9 trillion in assets. Founded in 1852 and headquartered in San Francisco, Wells Fargo provides banking, investment and mortgage products and services, as well as consumer and commercial finance, through 8,050 locations, 13,000 ATMs, the internet (wellsfargo.com) and mobile banking, and has offices in 38 countries and territories to support customers who conduct business in the global economy. With approximately 265,000 team members, Wells Fargo serves one in three households in the United States. Wells Fargo & Company was ranked No. 26 on Fortune’s 2018 rankings of America’s largest corporations. News, insights and perspectives from Wells Fargo are also available at Wells Fargo Stories.

About this dataset

This dataset provides historical data of WELLS FARGO stock (WFC). The data is available at a daily level. Currency is USD.

What is Take-Two Interactive?

Take-Two Interactive Software, Inc. is an American video game holding company based in New York City and founded by Ryan Brant in September 1993. The company owns two major publishing labels, Rockstar Games and 2K, which operate internal game development studios. Take-Two created the Private Division label to support publishing from independent developers and more recently announced a new internal studio for the label called intercept Games. The company also formed Ghost Story Games which was a former 2K studio under the name Irrational Games. The company acquired the developers Socialpoint, Playdots and Nordeus to establish itself in the mobile game market. The company also owns 50% of professional esports organization NBA 2K League. Take-Two's combined portfolio includes franchises such as BioShock, Borderlands, Grand Theft Auto, NBA 2K, and Red Dead among others.

Information about this dataset

This dataset provides historical data of Take-Two Interactive (TTWO). The data is available at a daily level. Currency is USD.

Context

Howdy folks!

I have prepared a starter dataset for time series practice. This is my 1st upload. Any questions/feedback are welcome.

Content

• The data was prepared using Alpha Vantage API
• The data represents historical daily time series for a digital currency (BTC) traded on the Saudi market (SAR/Sudi Riyal)
• Prices and volumes are quoted in both SAR & USD.
• Data date range: 2018-05-11 to 30.01.2021

Task: Use the past to predict the future!

• Check Tasks tab

Acknowledgements

Special thanks to all my instructors and friends at GA.

Time Series Forecasting on CUrrency conversion

It was a part of analysis that i have taken as a part of the case study i was into. There are a lot of micro economic factors that impact the Stock.

Economists opine that currency exchange rates are driven by Macro-economic variables like: Trade, GDP growth rate, Industrial activity, money supply etc.

What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too. I wish you will like this. And give it a thumbs Up!

Graph and download economic data for Monetary Base: Total (BOGMBASE) from Jan 1959 to Jun 2025 about monetary base and USA.

United States Money Supply M2: Wkly: sa data was reported at 14,148.400 USD bn in 16 Jul 2018. This records an increase from the previous number of 14,128.400 USD bn for 09 Jul 2018. United States Money Supply M2: Wkly: sa data is updated weekly, averaging 4,575.500 USD bn from Jan 1981 (Median) to 16 Jul 2018, with 1959 observations. The data reached an all-time high of 14,148.400 USD bn in 16 Jul 2018 and a record low of 1,596.600 USD bn in 05 Jan 1981. United States Money Supply M2: Wkly: sa data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.KA004: Money Stock, Liquid Assets and Debt Measures.

Prices for GBPUSD British Pound US Dollar including live quotes, historical charts and news. GBPUSD British Pound US Dollar was last updated by Trading Economics this August 10 of 2025.

United States Memo: Institutional Money Market Funds data was reported at 1,842.200 USD bn in Oct 2018. This records a decrease from the previous number of 1,858.800 USD bn for Sep 2018. United States Memo: Institutional Money Market Funds data is updated monthly, averaging 301.750 USD bn from Jan 1974 (Median) to Oct 2018, with 538 observations. The data reached an all-time high of 2,600.500 USD bn in Feb 2009 and a record low of 0.000 USD bn in Mar 1974. United States Memo: Institutional Money Market Funds data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s United States – Table US.KA005: Money Stock, Liquid Assets and Debt Measures: Monthly.