Graph and download economic data for Market Yield on U.S. Treasury Securities at 30-Year Constant Maturity, Quoted on an Investment Basis (DGS30) from 1977-02-15 to 2025-07-10 about 30-year, maturity, Treasury, interest rate, interest, rate, and USA.

Graph and download economic data for Market Yield on U.S. Treasury Securities at 5-Year Constant Maturity, Quoted on an Investment Basis (DGS5) from 1962-01-02 to 2025-06-18 about maturity, Treasury, interest rate, interest, 5-year, rate, and USA.

Graph and download economic data for Market Yield on U.S. Treasury Securities at 2-Year Constant Maturity, Quoted on an Investment Basis (DGS2) from 1976-06-01 to 2025-07-10 about 2-year, maturity, Treasury, interest rate, interest, rate, and USA.

Graph and download economic data for Market Yield on U.S. Treasury Securities at 20-Year Constant Maturity, Quoted on an Investment Basis (DGS20) from 1962-01-02 to 2025-07-10 about 20-year, maturity, Treasury, interest rate, interest, rate, and USA.

The yield on US 2 Year Note Bond Yield rose to 3.91% on July 11, 2025, marking a 0.03 percentage point increase from the previous session. Over the past month, the yield has fallen by 0.01 points and is 0.55 points lower than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. US 2 Year Treasury Bond Note Yield - values, historical data, forecasts and news - updated on July of 2025.

Interactive chart showing the daily 5 year treasury yield back to 1962. The values shown are daily data published by the Federal Reserve Board based on the average yield of a range of Treasury securities, all adjusted to the equivalent of a five-year maturity.

Graph and download economic data for 10-Year Real Interest Rate (REAINTRATREARAT10Y) from Jan 1982 to Jun 2025 about 10-year, interest rate, interest, real, rate, and USA.

View values of the average interest rate at which Treasury bills with a 3-month maturity are sold on the secondary market.

Graph and download economic data for Market Yield on U.S. Treasury Securities at 1-Month Constant Maturity, Quoted on an Investment Basis (DGS1MO) from 2001-07-31 to 2025-07-10 about 1-month, bills, maturity, Treasury, interest rate, interest, rate, and USA.

Graph and download economic data for Market Yield on U.S. Treasury Securities at 7-Year Constant Maturity, Quoted on an Investment Basis (DGS7) from 1969-07-01 to 2025-07-10 about 7-year, maturity, Treasury, interest rate, interest, rate, and USA.

ETSY reported $2.39B in Debt for its fiscal quarter ending in March of 2025. Data for ETSY - Debt including historical, tables and charts were last updated by Trading Economics this last July in 2025.

ETSY reported $2.1M in Interest Expense on Debt for its fiscal quarter ending in March of 2025. Data for ETSY - Interest Expense On Debt including historical, tables and charts were last updated by Trading Economics this last July in 2025.

ETSY reported $192.06M in Cost of Sales for its fiscal quarter ending in March of 2025. Data for ETSY - Cost Of Sales including historical, tables and charts were last updated by Trading Economics this last July in 2025.

Vietnam Population: Hanoi: Birth Rate: City: Tay Ho data was reported at 14.570 ‰ in 2017. This records a decrease from the previous number of 14.620 ‰ for 2016. Vietnam Population: Hanoi: Birth Rate: City: Tay Ho data is updated yearly, averaging 16.425 ‰ from Dec 2000 (Median) to 2017, with 14 observations. The data reached an all-time high of 19.870 ‰ in 2012 and a record low of 13.800 ‰ in 2000. Vietnam Population: Hanoi: Birth Rate: City: Tay Ho data remains active status in CEIC and is reported by Hanoi Statistical Office. The data is categorized under Global Database’s Vietnam – Table VN.G012: Vital Statistics: Birth Rate: Hanoi.

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.

ETSY Emerging E-Commerce Leader?

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

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.

Etsy Eyes Growth Opportunities? (ETSY)

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

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.

Etsy: A Hold for the Next 3 Months, But a Strong Buy for the Long Term

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

ETSY reported 20.08 in PE Price to Earnings for its fiscal quarter ending in March of 2025. Data for ETSY - PE Price to Earnings including historical, tables and charts were last updated by Trading Economics this last July in 2025.

ETSY reported $216K in Interest Income for its fiscal quarter ending in December of 2021. Data for ETSY - Interest Income including historical, tables and charts were last updated by Trading Economics this last July in 2025.

ETSY reported $170.99M in Trade Debtors for its fiscal quarter ending in March of 2025. Data for ETSY - Trade Debtors including historical, tables and charts were last updated by Trading Economics this last July in 2025.