Australian Securities Exchange stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

Australia's main stock market index, the ASX200, fell to 8788 points on September 17, 2025, losing 1.01% from the previous session. Over the past month, the index has declined 1.91%, though it remains 7.93% 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.

Graph and download economic data for Share Prices: All Shares/Broad: Total for Australia (SPASTT01AUQ657N) from Q2 1958 to Q2 2025 about Australia and stock market.

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.

Graph and download economic data for Volatility of Stock Price Index for Australia (DDSM01AUA066NWDB) from 1984 to 2021 about stocks, volatility, Australia, price index, indexes, and price.

Graph and download economic data for Financial Market: Share Prices for Australia (SPASTT01AUM661N) from Jan 1958 to Aug 2025 about Australia and stock market.

During the firs quarter of 2025, the average daily trade value on the Australian equity market amounted to 8.5 billion Australian dollars. The Australian Stock Exchange (ASX) has experienced significant growth and volatility in recent years, with daily trading values reaching unprecedented levels. In the first quarter of 2020, the average value of daily trades surged to over *** billion Australian dollars, a substantial increase from the previous quarter's *** billion. This spike, likely triggered by the economic impact of the COVID-19 pandemic, marked a turning point in market activity that persisted well beyond the initial shock.

Energy Resources Of Australia stock price, live market quote, shares value, historical data, intraday chart, earnings per share 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.

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

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)

Australian Securities Exchange is Australia's primary securities exchange and is one of the largest listed exchange groups by market capitalization.

Australia Share Prices - Historical chart and current data through 2025.

The average for 2021 based on 2 countries was 19.22 percent. The highest value was in Australia: 21.7 percent and the lowest value was in New Zealand: 16.73 percent. The indicator is available from 1984 to 2021. Below is a chart for all countries where data are available.

Australian Finance stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

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.

Australian Agricultural Company stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

Graph and download economic data for Capital Stock at Constant National Prices for Australia (RKNANPAUA666NRUG) from 1950 to 2019 about stocks, Australia, capital, and price.

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.

Stock price volatility in Australia was reported at 21.7 in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Australia - Stock price volatility - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

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