Australia's main stock market index, the ASX200, fell to 8666 points on July 31, 2025, losing 1.04% from the previous session. Over the past month, the index has climbed 1.46% and is up 6.79% compared to the same time last year, 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 July 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.

Stock market return (%, year-on-year) in Australia was reported at 19.3 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Australia - Stock market return (%, year-on-year) - actual values, historical data, forecasts and projections were sourced from the World Bank on July 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.

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

ASX Market Capitalization data was reported at 2,902,032.000 AUD mn in Mar 2025. This records a decrease from the previous number of 3,024,358.000 AUD mn for Feb 2025. ASX Market Capitalization data is updated monthly, averaging 2,902,032.000 AUD mn from Jan 2024 (Median) to Mar 2025, with 15 observations. The data reached an all-time high of 3,129,246.000 AUD mn in Jan 2025 and a record low of 2,793,267.000 AUD mn in Dec 2024. ASX Market Capitalization data remains active status in CEIC and is reported by Australian Securities Exchange. The data is categorized under Global Database’s Australia – Table AU.Z002: Australian Stock Exchange: Market Capitalization.

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.

In June 2025, nearly *********** options were traded on the Australian Securities Exchange (ASX). This was slightly above the monthly average of around *********** recorded since January 2020. However, The ASX options market is much lower than the volume of futures traded on the ASX. Options and futures are similar in that they are both financial derivatives that provide an investor the ability to buy (or sell) a financial asset for an agreed price at a certain point in time, but they differ in that futures require that the transaction take place, whereas options do not. Options and the coronavirus pandemic Coinciding with the global coronavirus (COVID-19) pandemic, the volume of options traded on the Australian Securities Exchange (ASX) spiked in **********. It is notable that the spike in terms of the value of options traded was much greater than in terms of volume. It is also notable that the majority of the spike in this month came from call options - which enable the option holder to purchase a financial instrument (like shares) for an agreed price at a date in the future. By contrast, put options enable holders to sell a financial instrument at an agreed value in the future. This suggests that the increased value for this month was driven by investors trying to capitalize on the pandemic by locking in lower prices for the future, with the (correct) assumption that prices would rise again in the following months. How is the value of derivatives calculated? Calculating the value of derivatives is different to an item like shares, in that derivatives contracts do not include the underlying asset price. Both options and futures are contracts which provide the ability to purchase a financial asset in the future for an agreed price – meaning the purchase of the contract does not include the purchasing of the asset itself. Generally, the ‘notional value’ is used to calculate the value of derivatives – which includes both the cost of the contract itself as well as the underlying asset. Note how options do not require the transaction take place, but yet the value of transaction is included. This one reason behind why, for example, banks in the U.S. and banks in the UK can hold derivates that are well above the national gross domestic product of their respective countries.

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).

Australian Securities Exchange reported AUD1.31 in EPS Earnings Per Share for its fiscal semester ending in December of 2024. Data for Australian Securities Exchange | ASX - EPS Earnings Per Share including historical, tables and charts were last updated by Trading Economics this last July in 2025.

In 2025, stock markets in the United States accounted for roughly ** percent of world stocks. The next largest country by stock market share was China, followed by the European Union as a whole. The New York Stock Exchange (NYSE) and the NASDAQ are the largest stock exchange operators worldwide. What is a stock exchange? The first modern publicly traded company was the Dutch East Industry Company, which sold shares to the general public to fund expeditions to Asia. Since then, groups of companies have formed exchanges in which brokers and dealers can come together and make transactions in one space. Stock market indices group companies trading on a given exchange, giving an idea of how they evolve in real time. Appeal of stock ownership Over half of adults in the United States are investing money in the stock market. Stocks are an attractive investment because the possible return is higher than offered by other financial instruments.

Australia ASX Index: Financials data was reported at 8,789.600 Point in Apr 2025. This records an increase from the previous number of 8,323.700 Point for Mar 2025. Australia ASX Index: Financials data is updated monthly, averaging 5,831.200 Point from Apr 2002 (Median) to Apr 2025, with 277 observations. The data reached an all-time high of 9,141.500 Point in Jan 2025 and a record low of 3,044.900 Point in Feb 2009. Australia ASX Index: Financials 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 Financial Index (XFJ) contains companies involved in activities such as banking, mortgage finance, consumer finance, specialised finance, investment banking and brokerage, asset management and custody, corporate lending, insurance, and financial investment, and real estate, including REITs.

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.

ASE Tech's Strong Growth: How High Can It Go? (ASX)

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

Australian Securities Exchange reported AUD333.7M in EBITDA for its fiscal semester ending in December of 2024. Data for Australian Securities Exchange | ASX - Ebitda including historical, tables and charts were last updated by Trading Economics this last July in 2025.

Australia ASX Index: All Ordinaries data was reported at 8,341.000 Jan1982=500 in Apr 2025. This records an increase from the previous number of 8,053.200 Jan1982=500 for Mar 2025. Australia ASX Index: All Ordinaries data is updated monthly, averaging 3,539.200 Jan1982=500 from Mar 1984 (Median) to Apr 2025, with 494 observations. The data reached an all-time high of 8,789.700 Jan1982=500 in Jan 2025 and a record low of 654.900 Jan1982=500 in May 1984. Australia ASX Index: All Ordinaries 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 All Ordinaries Index (XAO) is Australia's premier market indicator. The index represents the 500 largest companies listed on the ASX. Market capitalisation is the only eligibility requirement of constituents, as liquidity is not considered, with the exception of foreign domiciled companies.

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

Coinciding with the global coronavirus (COVID-19) pandemic, the value of options traded on the Australian Securities Exchange (ASX) spiked in March 2020, reaching *** billion Australian dollars for the month. While the volume of options traded on the ASX also spiked this this month, it is notable that the spike in terms of value was much greater than in terms of volume. It is also notable that the overwhelming majority of the spike in this month came from call options - which enable the option holder to purchase a financial instrument (like shares) for an agreed price at a date in the future. By contrast, put options enable holders to sell a financial instrument at an agreed value in the future. This suggests that the increased value for this month was driven by investors trying to protect their position from the economic fallout of the pandemic. By June 2025, the total value of options traded on the ASX had fallen to around *** billion Australian dollars.

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

Australia ASX Index: S&P/ASX 100 data was reported at 6,840.900 Point in Apr 2025. This records an increase from the previous number of 6,590.300 Point for Mar 2025. Australia ASX Index: S&P/ASX 100 data is updated monthly, averaging 4,061.300 Point from Aug 1996 (Median) to Apr 2025, with 345 observations. The data reached an all-time high of 7,171.700 Point in Jan 2025 and a record low of 1,767.200 Point in Aug 1996. Australia ASX Index: S&P/ASX 100 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 100 Index (XTO) is Australia's premier large capitalisation equity index, it is comprised of 100 stocks selected by the S&P Australian Index Committee. The index provides a benchmark for large active managers whose emphasis is on having a portfolio with strong liquidity. It essentially covers large-cap and mid-cap stocks evaluated for liquidity and size.