The benchmark interest rate in Australia was last recorded at 3.60 percent. This dataset provides - Australia Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Interbank Rate in Australia decreased to 3.69 percent in August from 3.84 percent in July of 2025. This dataset provides - Australia Three Month Interbank Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Inflation Rate in Australia decreased to 2.10 percent in the second quarter of 2025 from 2.40 percent in the first quarter of 2025. This dataset provides the latest reported value for - Australia Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The benchmark interest rate in New Zealand was last recorded at 3 percent. This dataset provides - New Zealand Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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.

CBA COMMONWEALTH BANK OF AUSTRALIA.

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.

NAB NATIONAL AUSTRALIA BANK LIMITED

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 global garlic market had total revenues of 15.88 billion USD in 2014, representing a compound annual growth rate (CAGR) of 3.4% from 2007 to 2014. In physical terms, the market reached 25 million tons.

The yield on Australia 10Y Bond Yield rose to 4.34% on September 1, 2025, marking a 0.04 percentage point increase from the previous session. Over the past month, the yield has edged up by 0.07 points and is 0.32 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Australia 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on September of 2025.

The Judo Bank Australia Services PMI fell to 50.3 in June 2023 from 52.1 in the previous month, final data showed. It marked the third consecutive month of expansion in the Australian services sector, albeit the slowest, driven by softer growth in new businesses which led to a slower rise in business activity. Firms continued to hire additional staff to cope with the increased workload. Amid higher demand, inflationary pressures intensified within the service sector. Input cost inflation climbed due to higher interest rates, wages and energy costs. Businesses remained broadly optimistic with regards to future activity but pared back their optimism. This dataset provides - Australia Commonwealth Bank Services PMI- actual values, historical data, forecast, chart, statistics, economic calendar and news.

The yield on Australia 5 Year Bond Yield rose to 3.60% on September 1, 2025, marking a 0.03 percentage point increase from the previous session. Over the past month, the yield has edged up by 0.05 points, though it remains 0.05 points lower than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Australia 5 Year Note Yield - values, historical data, forecasts and news - updated on September of 2025.

Bank Lending Rate in Australia remained unchanged at 10.26 percent in July. This dataset provides - Australia Bank Lending Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Prices for Australia 5Y including live quotes, historical charts and news. Australia 5Y was last updated by Trading Economics this September 1 of 2025.

The yield on Australia 2 Year Bond Yield eased to 3.36% on September 2, 2025, marking a 0.01 percentage point decrease from the previous session. Over the past month, the yield has edged up by 0.06 points, though it remains 0.31 points lower than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Australia 2 Year Note Yield - values, historical data, forecasts and news - updated on September of 2025.

Prices for Australia 3Y including live quotes, historical charts and news. Australia 3Y was last updated by Trading Economics this September 1 of 2025.