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Australia's main stock market index, the ASX200, fell to 8580 points on July 11, 2025, losing 0.11% from the previous session. Over the past month, the index has climbed 0.18% and is up 7.80% 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.
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Key information about Australia S&P/ASX 200
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 January 2025 at 8532.3 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.
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Australia's main stock market index, the ASX200, fell to 8541 points on July 14, 2025, losing 0.46% from the previous session. Over the past month, the index has declined 0.09%, though it remains 6.52% 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 July of 2025.
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Australia's main stock market index, the ASX200, fell to 8506 points on June 20, 2025, losing 0.21% from the previous session. Over the past month, the index has climbed 1.42% and is up 9.10% 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 June of 2025.
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License information was derived automatically
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 July 13 of 2025.
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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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
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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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
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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.
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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.
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License information was derived automatically
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 July 13 of 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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).
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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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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 July 14 of 2025.
The Australian Securities Exchange (ASX) was established in July 2006 after the Australian Stock Exchange merged with the Sydney Futures Exchange, making it one of the top 20 global exchange groups by market capitalization. ASX facilitates trading in leading stocks, ETFs, derivatives, fixed income, commodities, and energy, commanding over 80% of the market share in the Australian Cash Market, with the S&P/ASX 200 as its main index. We offer comprehensive real-time market information services for all instruments in the ASX Level 1 and Level 2 (full market depth) products, and also provide Level 1 data as a delayed service. You can access this data through various means tailored to your specific needs and workflows, whether for trading via electronic low latency datafeeds, using our desktop services equipped with advanced analytical tools, or through our end-of-day valuation and risk management products.
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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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Australia ASX Index: Materials data was reported at 16,086.200 Point in Apr 2025. This records an increase from the previous number of 15,975.700 Point for Mar 2025. Australia ASX Index: Materials data is updated monthly, averaging 10,930.100 Point from Apr 2002 (Median) to Apr 2025, with 277 observations. The data reached an all-time high of 19,490.200 Point in Dec 2023 and a record low of 3,989.600 Point in Sep 2002. Australia ASX Index: Materials 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 Materials Index (XMJ) encompasses a wide range of commodity-related manufacturing industries. Included in this sector are companies that manufacture chemicals, construction materials, glass, paper, forest products and related packaging products, and metals, minerals and mining companies, including producers of steel.
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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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Australia's main stock market index, the ASX200, fell to 8580 points on July 11, 2025, losing 0.11% from the previous session. Over the past month, the index has climbed 0.18% and is up 7.80% 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.