Australia's main stock market index, the ASX200, fell to 8801 points on September 11, 2025, losing 0.33% from the previous session. Over the past month, the index has declined 0.90%, though it remains 8.98% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Australia. Australia Stock Market Index - values, historical data, forecasts and news - updated on September of 2025.

Key information about Australia S&P/ASX 200

• Australia S&P/ASX 200 closed at 8,172.4 points in Feb 2025, compared with 8,532.3 points at the previous month end
• Australia Equity Market Index: Month End: ASX: S&P/ASX 200 data is updated monthly, available from May 1992 to Feb 2025, with an average number of 4,604.3 points
• The data reached an all-time high of 8,532.3 points in Jan 2025 and a record low of 1,428.8 points in Oct 1992

The S&P/ASX 200 Index (XJO) is recognised as the investable benchmark for the Australian equity market, it addresses the needs of investment managers to benchmark against a portfolio characterised by sufficient size and liquidity. The S&P/ASX 200 is comprised of the S&P/ASX 100 plus an additional 100 stocks. It forms the basis for the S&P/ASX 200 Index Future and Options and the SPDR S&P/ASX 200 Exchange Traded Fund (ETF)

The S&P/ASX 200 index, the most prominent index of stocks listed on the Australian Securities Exchange (ASX), lost over one fifth of its value between the end of February and the end of March 2020, owing to the economic impact of the global coronavirus (COVID-19) pandemic. It has since recovered, and surpassed its pre-corona level in April 2021. Despite fluctuations, it reached its highest value in June 2025 at 8542.3 during this period.The S&P/ASX 200 index is considered the benchmark index for the Australian share market and contains the 200 largest companies listed on the ASX.

Australia's main stock market index, the ASX200, fell to 8805 points on September 11, 2025, losing 0.29% from the previous session. Over the past month, the index has declined 0.85%, though it remains 9.03% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Australia. Australia Stock Market Index - values, historical data, forecasts and news - updated on September of 2025.

Dataset Information

This dataset includes daily price data for various stock indices.

  Instruments Included

ADSMI: United Arab Emirates Stock Market (ADX General) - United Arab Emirates AEX: Netherlands Stock Market (AEX) - Netherlands (NL) AS30: Australian All - Australia (AU) AS51: Australia S&P/ASX 200 Stock Market Index - Australia (AU) AS52: ASX 50 - Australia (AU) ASE: Greece Stock Market (ASE) - Greece (GR) ATX: Austria Stock Market (ATX) - Austria (AT) BEL20:… See the full description on the dataset page: https://huggingface.co/datasets/paperswithbacktest/Indices-Daily-Price.

Prices for Australia Stock Market Index (AU50) including live quotes, historical charts and news. Australia Stock Market Index (AU50) was last updated by Trading Economics this September 10 of 2025.

Australia ASX Index: S&P/ASX 20 data was reported at 4,566.000 Point in Apr 2025. This records an increase from the previous number of 4,397.200 Point for Mar 2025. Australia ASX Index: S&P/ASX 20 data is updated monthly, averaging 2,772.900 Point from Mar 1993 (Median) to Apr 2025, with 386 observations. The data reached an all-time high of 4,790.200 Point in Jan 2025 and a record low of 894.500 Point in Apr 1993. Australia ASX Index: S&P/ASX 20 data remains active status in CEIC and is reported by Australian Securities Exchange. The data is categorized under Global Database’s Australia – Table AU.Z001: Australian Stock Exchange: Indices. The S&P/ASX 20 Index (XTL) is comprised of the 20 largest stocks by market capitalisation in Australia, emphasising liquidity and investability. It is the narrowest index of the S&P Australian index family.

Australia ASX Index: S&P/ASX 300 data was reported at 8,060.900 Point in Apr 2025. This records an increase from the previous number of 7,782.100 Point for Mar 2025. Australia ASX Index: S&P/ASX 300 data is updated monthly, averaging 4,617.150 Point from May 1992 (Median) to Apr 2025, with 396 observations. The data reached an all-time high of 8,460.400 Point in Jan 2025 and a record low of 1,419.300 Point in Oct 1992. Australia ASX Index: S&P/ASX 300 data remains active status in CEIC and is reported by Australian Securities Exchange. The data is categorized under Global Database’s Australia – Table AU.Z001: Australian Stock Exchange: Indices. The S&P/ASX 300 Index (XKO) provides additional depth and coverage to the S&P/ASX 200 whilst maintaining strict liquidity guidelines. It provides up to an additional 100 small-cap stocks to the S&P/ASX 200. The S&P/ASX 300 Index forms the basis for the Vanuard Australian Shares Index 300 Exchange Traded Fund (ETF).

Prices for Australia Stock Market Index (All Ordinaries Composite) including live quotes, historical charts and news. Australia Stock Market Index (All Ordinaries Composite) was last updated by Trading Economics this September 11 of 2025.

Australia's main stock market index, the ASX200, fell to 8749 points on September 11, 2025, losing 0.93% from the previous session. Over the past month, the index has declined 1.49%, though it remains 8.33% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Australia. Australia Stock Market Index - values, historical data, forecasts and news - updated on September of 2025.

Australia ASX Index: Health Care data was reported at 41,403.700 Point in Apr 2025. This records an increase from the previous number of 40,528.700 Point for Mar 2025. Australia ASX Index: Health Care data is updated monthly, averaging 14,192.400 Point from Apr 2002 (Median) to Apr 2025, with 277 observations. The data reached an all-time high of 47,852.600 Point in Aug 2021 and a record low of 2,961.600 Point in May 2003. Australia ASX Index: Health Care data remains active status in CEIC and is reported by Australian Securities Exchange. The data is categorized under Global Database’s Australia – Table AU.Z001: Australian Stock Exchange: Indices. The Health Care Index (XHJ) encompasses two main industry groups. The first includes companies who manufacture health care equipment and supplies or provide health care related services, and owners and operators of health care products, providers of basic health-care services, and owners and operators of health care facilities and organisations. The second group includes companies primarily involved in the research, development, production and marketing of pharmaceuticals and biotechnology products.

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.

ASX 200: Poised for a Record-Breaking Ascent?

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

Predictions hold that the S&P/ASX 200 index may fluctuate within a wide range. Bulls foresee a surge driven by positive economic data, strong corporate earnings, and central bank easing. However, bears anticipate downward pressure due to geopolitical uncertainties, inflation concerns, and potential earnings revisions. Risks include economic slowdown, interest rate hikes, and a resurgence of COVID-19 cases, which could push the index lower.

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 the ASX 200 Index Continue its Ascent?

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

Australia ASX Index: S&P/ASX 50 data was reported at 7,993.500 Point in Apr 2025. This records an increase from the previous number of 7,694.700 Point for Mar 2025. Australia ASX Index: S&P/ASX 50 data is updated monthly, averaging 4,670.650 Point from Mar 1993 (Median) to Apr 2025, with 386 observations. The data reached an all-time high of 8,363.800 Point in Jan 2025 and a record low of 1,607.900 Point in Apr 1993. Australia ASX Index: S&P/ASX 50 data remains active status in CEIC and is reported by Australian Securities Exchange. The data is categorized under Global Database’s Australia – Table AU.Z001: Australian Stock Exchange: Indices. The S&P/ASX 50 Index (XFL) comprises the 50 largest stocks by market capitalisation in Australia. The constituent companies represent the biggest national and multi-national publicly listed companies in the Australian equity market. The S&P/ASX 50 index places an emphasis on liquidity and investability. The constituents of the index are reviewed quarterly using the previous six months data. The index forms the basis for the SPDR S&P/ASX 50 Exchange Traded Fund (ETF).

Prices for Australia Stock Market Index (AU200) including live quotes, historical charts and news. Australia Stock Market Index (AU200) was last updated by Trading Economics this September 11 of 2025.

The S&P/ASX Small Ordinaries index saw a price return of ******** Australian dollars in July 2023. Due to the financial effects of the global coronavirus (COVID-19) pandemic, the price return for the index decreased significantly between the end of February and the end of March 2020.

ASX index performance affected by the coronavirus pandemic

The S&P/ASX Small Ordinaries index is a key benchmark for small-cap Australian companies. The index measures companies included in the S&P/ASX 300 but not in the S&P/ASX 100. In comparison, the S&P/ASX 200 index measures the performance of the *** largest companies listed on the ASX. Due to the financial effects of the global coronavirus pandemic, it lost more than one-fifth of its value between the end of February and the end of March 2020. Since then, it has improved and surpassed its pre-corona level with its value peaking around *** thousand index points in August 2021.

Financial markets in Australia

Financial markets in Australia are an integral part of the country's economy. The Australian Securities Exchange (ASX) is the country's primary stock exchange and, as of December 2022, it had a domestic market capitalization of approximately **** trillion Australian dollars. As of April 2023, the largest company listed on the ASX was BHP Group Limited, with a total market capitalization of over *** billion Australian dollars. The financial sector dominated the list of the largest Australian domestic companies, with **** of the top 10 companies being either retail or investment banking groups. Overall, financial markets in Australia are diverse, and robust, attracting both local and international investors.

In June 2025, the All Ordinaries comprised of the 500 most important companies listed on the Australian Securities Exchange (ASX) reached its second-highest value throughout the period considered, standing at 8,773. The All Ordinaries index is considered a benchmark index for the Australian share market and includes the value of over 95 percent the the shares listed on the ASX. The other main benchmark index for the Australian economy is the S&P ASX 200, which is comprised of the 200 largest companies listed on the ASX.

Index Time Series for S&P/ASX 200 VIX. The frequency of the observation is daily. Moving average series are also typically included.

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.

ASX 200 to See Modest Gains Amid Global Uncertainty, Experts Say.

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