^000001

3,052.90

▲ +0.27%

Stock Index

SSE Composite

Index Symbol: ^000001

Total Market Capitalization (USD): $6.017 Trillion

format_list_bulleted SSE Composite Companies List

SSE Composite Tools & Data

SSE Composite Index - 1 Year Evolution

1 Year Return

▼ -8.24%

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

  • — EMA20
  • — SMA50
  • — SMA200

SSE Composite Index Description

The SSE Composite Index, also known as SSE Index, is a stock market index of all stocks that are traded at the Shanghai Stock Exchange.

Top 1-year algo backtest: +284.14%

$10,000 in April 2023 would now be $38,414 by following this algorithm daily at market close.

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SSE Composite Index Data

Open 3,037.93
High 3,060.26
Low 3,034.65
Close 3,052.90
Volume 3,458,211,024
Previous Close 3,044.82
1-Day Change 8.08
1-Year Change -274.28
Average Daily Volume 14,044,759
52-Week High 3,395.00
52-Week Low 2,702.19

Top 10 SSE Composite Companies by Market Cap as of Jan. 1, 2024

Company Stock(s) Sector Industry Market Cap (USD)
Kweichow Moutai 600519 Consumer Staples Beverages—Wineries & Distilleries $299.54 B
ICBC 601398 Financials Banks—Diversified $226.49 B
PetroChina 601857 Energy Oil & Gas Integrated $182.61 B
Agricultural Bank of China 601288 Financials Banks—Diversified $178.47 B
Bank of China 601988 Financials Banks—Diversified $151.64 B
China Construction Bank 601939 Financials Banks—Diversified $150.20 B
China Merchants Bank 600036 Financials Banks—Regional $98.57 B
Ping An Insurance 601318 Financials Insurance—Life $92.95 B
China Life 601628 Financials Insurance—Life $92.27 B
China Shenhua Energy Company Ltd 601088 Energy Thermal Coal $88.67 B
format_list_bulleted List of all SSE Composite companies

Top 10 SSE Composite 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.