^HSI:HKEX

19,627.00

▼ -0.40%

Stock Index

Hang Seng

Index Symbol: ^HSI:HKEX

Total Market Capitalization (USD): $3.393 Trillion

format_list_bulleted Hang Seng Companies List

Hang Seng Data & Tools

Hang Seng Index - 1 Year Evolution

1 Year Return

▲ +12.82%

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

  • — EMA20
  • — SMA50
  • — SMA200

Hang Seng Index Description

The Hang Seng Index is a free-float adjusted market-capitalization-weighted stock-market index in Hong Kong. It is used to record and monitor daily changes of the largest companies of the Hong Kong stock market and is the main indicator of the overall market performance in Hong Kong. These companies represent about 58% of the capitalization of the Hong Kong Stock Exchange.

Top 1-year algo backtest: +265.99%

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Hang Seng Index Data

Open 19,590.50
High 19,768.00
Low 19,584.00
Close 19,627.00
Volume 206,966,657
Previous Close 19,705.01
1-Day Change -78.01
1-Year Change 2230.14
Average Daily Volume 2,927,062,742
52-Week High 23,099.78
52-Week Low 14,961.18

Top 10 Hang Seng Companies by Market Cap as of July 1, 2024

Company Stock(s) Sector Industry Market Cap (USD)
Tencent 0700 Communication Services Internet Content & Information $457.25 B
ICBC 1398 Financials Banks—Diversified $268.78 B
PetroChina 0857 Energy Oil & Gas Integrated $257.67 B
China Mobile 0941 Communication Services Telecom Services $217.46 B
Alibaba 9988 Consumer Discretionary Internet Retail $178.13 B
China Construction Bank 0939 Financials Banks—Diversified $177.68 B
Bank of China 3988 Financials Banks—Diversified $174.85 B
HSBC 0005 Financials Banks—Diversified $162.67 B
CNOOC 0883 Energy Oil & Gas E&P $147.94 B
China Merchants Bank 3968 Financials Banks—Regional $115.76 B
format_list_bulleted List of all Hang Seng companies

Top 10 Hang Seng 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.