The yield on US 10 Year Note Bond Yield rose to 4.37% on July 23, 2025, marking a 0.02 percentage point increase from the previous session. Over the past month, the yield has edged up by 0.07 points and is 0.08 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. US 10 Year Treasury Bond Note Yield - values, historical data, forecasts and news - updated on July of 2025.

The yield on Japan 10Y Bond Yield rose to 1.59% on July 23, 2025, marking a 0.09 percentage point increase from the previous session. Over the past month, the yield has edged up by 0.17 points and is 0.52 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Japan 10 Year Government Bond Yield - values, historical data, forecasts and news - updated on July of 2025.

The yield on Japan 5 Year Bond Yield rose to 1.13% on July 23, 2025, marking a 0.10 percentage point increase from the previous session. Over the past month, the yield has edged up by 0.17 points and is 0.51 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Japan 5 Year Note Yield - values, historical data, forecasts and news - updated on July of 2025.

The yield on Japan 2 Year Bond Yield rose to 0.82% on July 23, 2025, marking a 0.06 percentage point increase from the previous session. Over the past month, the yield has edged up by 0.08 points and is 0.44 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Japan 2 Year Government Bond Yield - values, historical data, forecasts and news - updated on July of 2025.

Korea Racing Authority displays information on the highest odds for each type of bet for races held at the Seoul, Busan-Gyeongnam, and Jeju racecourses. (Provided information includes the name of the racecourse, race date, race number, betting type, 1st place horse start number, 2nd place horse start number, 3rd place horse start number, odds, weather, and race condition data.) ※ Betting types operated by Korea Racing Authority - Win: This is a method to predict 1 horse to finish in 1st place. - Consecutive win: This is a method to predict 1 horse to finish in 1st, 2nd, and 3rd place. If there are 7 or fewer horses participating in the race, predict 1 horse to finish in 2nd place. - Place: This is a method to predict 2 horses to finish in 1st, 2nd, and 3rd place, regardless of order. - Place: This is a method to predict 2 horses to finish in 1st and 2nd place, regardless of order. - Win: This is a method to predict 2 horses to finish in 1st and 2nd place, in order. - Sambok Seungsik: This is a method of predicting the three horses that will finish in 1st, 2nd, and 3rd place in any order. - Samsang Seungsik: This is a method of predicting the three horses that will finish in 1st, 2nd, and 3rd place in any order.

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 2025-07-22 about 20-year, maturity, Treasury, interest rate, interest, rate, and USA.

The yield on US 2 Year Note Bond Yield rose to 3.92% on July 24, 2025, marking a 0.04 percentage point increase from the previous session. Over the past month, the yield has edged up by 0.13 points, though it remains 0.52 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.

We use the yield curve to predict future GDP growth and recession probabilities. The spread between short- and long-term rates typically correlates with economic growth. Predications are calculated using a model developed by the Federal Reserve Bank of Cleveland. Released monthly.

Canada CA: Long-Term Interest Rate: Government Bonds: Single Hit Scenario data was reported at 1.100 % in 2021. This records a decrease from the previous number of 1.127 % for 2020. Canada CA: Long-Term Interest Rate: Government Bonds: Single Hit Scenario data is updated yearly, averaging 5.912 % from Dec 1960 (Median) to 2021, with 62 observations. The data reached an all-time high of 14.989 % in 1981 and a record low of 1.100 % in 2021. Canada CA: Long-Term Interest Rate: Government Bonds: Single Hit Scenario data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Canada – Table CA.OECD.EO: Interest Rate: Forecast: OECD Member: Annual. IRL - Long-term interest rate on government bonds; Yield 10-year federal government benchmark bond)

The yield on US 30 Year Bond Yield rose to 4.94% on July 23, 2025, marking a 0.02 percentage point increase from the previous session. Over the past month, the yield has edged up by 0.10 points and is 0.39 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. United States 30 Year Bond Yield - values, historical data, forecasts and news - updated on July of 2025.

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

Nvidia Stock Hits All-Time High: What's Driving the Bull Run?

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

Slovakia SK: Long-Term Interest Rate: Government Bonds: Double Hit Scenario data was reported at 0.097 % in 2021. This records an increase from the previous number of 0.087 % for 2020. Slovakia SK: Long-Term Interest Rate: Government Bonds: Double Hit Scenario data is updated yearly, averaging 4.453 % from Dec 1996 (Median) to 2021, with 26 observations. The data reached an all-time high of 21.725 % in 1998 and a record low of 0.087 % in 2020. Slovakia SK: Long-Term Interest Rate: Government Bonds: Double Hit Scenario data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Slovakia – Table SK.OECD.EO: Interest Rate: Forecast: OECD Member: Annual. IRL - Long-term interest rate on government bonds; Yield of long term government bond yield. Before September 2000, data refer to average interest rate yield for Government Bonds achieved on the primary market (with 2 years maturity). From September 2000, data refer to yields on 10-year benchmark bonds

Gold prices hit a record high above $3,050 per ounce due to economic forecasts and Federal Reserve policy decisions, making gold an attractive investment amid rising inflation and declining US dollar and Treasury yields.

The yield on France 10Y Bond Yield rose to 3.29% on July 23, 2025, marking a 0.03 percentage point increase from the previous session. Over the past month, the yield has edged up by 0.04 points and is 0.15 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. France 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on July of 2025.

Here is the expected odds information for win, place, multiple win, quinella, triple win, and triple quinella for races held at Seoul, Busan-Gyeongnam, and Jeju racecourses. (1st place horse starting number, 2nd place horse starting number, expected odds, etc.) - If the race month/day is not entered, the odds for the most recent race day will be displayed. ※ The English abbreviations for the betting types are as follows. - Win (WIN): This is a method to predict 1 horse to finish in 1st place. - Multiple Win (PLC): This is a method to predict 1 horse to finish in 1st, 2nd, and 3rd place. When there are 7 or fewer horses participating in the race, predict 1 horse to finish in 2nd place. - Place (QPL): This is a method to predict 2 horses to finish in 1st, 2nd, and 3rd place, regardless of order. - Place (QNL): This is a method to predict 2 horses to finish in 1st and 2nd place, regardless of order. - EXA (Exclusive): This is a method of predicting the two horses that will finish in 1st and 2nd place in that order. - TLA (Triple Loss): This is a method of predicting the three horses that will finish in 1st, 2nd, and 3rd place in that order. - TRI (Triple Loss): This is a method of predicting the three horses that will finish in 1st, 2nd, and 3rd place in that order.

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.

Sonos (SONO) : Ready to Hit High Notes

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.

Will GoodRx (GDRX) Hit Another High?

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 yield on Canada 10Y Bond Yield rose to 3.58% on July 24, 2025, marking a 0.02 percentage point increase from the previous session. Over the past month, the yield has edged up by 0.26 points and is 0.21 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Canada 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on July of 2025.

A highly diasetereoselective Mannich-type multicomponent reaction was developed to rapidly construct alkynylamide-substituted α,β-diamino acid derivatives from simple starting materials under mild conditions in moderate to good yields for hit hunting. Most of the resulting products 4 exhibited good anticancer activity in HCT116, BEL7402, and SMMC7721 cells.