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Stock Index

All Ordinaries

Total Market Capitalization (USD): $2.063 Trillion

format_list_bulleted All Ordinaries Companies List

All Ordinaries Data & Tools

All Ordinaries Index - 1 Year Evolution

1 Year Return

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Daily close values, with moving averages and volumes
Moving averages:

  • — EMA20
  • — SMA50
  • — SMA200

All Ordinaries Index Description

Top 1-year algo backtest: +265.99%

$10,000 in October 2023 would now be $36,599 by following this algorithm daily at market close.

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All Ordinaries Index Data

Open
High
Low
Close
Volume
Previous Close
1-Day Change
1-Year Change
Average Daily Volume
52-Week High
52-Week Low

Top 10 All Ordinaries Companies by Market Cap as of July 1, 2024

Company Stock(s) Sector Industry Market Cap (USD)
BHP BHP Basic Materials Other Industrial Metals & Mining $151.21 B
CommBank CBA Financials Banks—Diversified $142.48 B
Rio Tinto RIO Basic Materials Other Industrial Metals & Mining $110.09 B
CSL Limited CSL Healthcare Biotechnology $95.75 B
National Australia Bank Limited NAB Financials Banks—Diversified $74.36 B
Westpac Banking Corporation WBC Financials Banks—Diversified $63.19 B
Australia and New Zealand Banking Group Limited ANZ Financials Banks—Diversified $57.00 B
Macquarie Group Limited MQG Financials Capital Markets $52.68 B
Newmont Corporation NEM Basic Materials Gold $50.10 B
Wesfarmers Limited WES Consumer Discretionary Home Improvement Retail $49.33 B
format_list_bulleted List of all All Ordinaries companies

Top 10 All Ordinaries Companies Concentration by Market Cap

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Disclaimer

All information and data available on Disfold is NOT FINANCIAL ADVICE. Invest at your own risk!

Past performance is not a guarantee of future performance. Patterns tend to repeat themselves, but they don't necessarily have to.

Successful backtests on past data do not guarantee the future success of the strategy backtested, especially as backtest overfitting may occur: when the price of a stock may fit particularly well a given trading strategy over a given period, but not necessarily outside of that period. Besides, backtests do not account for exact market conditions and may yield significantly different results in real trading practice (fees, slippage...).

Furthermore, even though Disfold strives to provide the best and most accurate data, errors can occur in Disfold's systems, or in our data providers' systems.

Please conduct your own due diligence to verify insights.