SHH:000001
SSE Composite Index Index Price (Quote)
$3,032.63
+3.71 (+0.123%)
At Close: Jun 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3,011.58 | $3,174.27 | Friday, 14th Jun 2024 000001.SS stock ended at $3,032.63. This is 0.123% more than the trading day before Thursday, 13th Jun 2024. During the day the stock fluctuated 0.87% from a day low at $3,011.58 to a day high of $3,037.90. |
90 days | $2,984.12 | $3,174.27 | |
52 weeks | $2,635.09 | $3,322.13 |
Historical SSE Composite Index prices
Date | Open | High | Low | Close | Volume |
Oct 25, 2022 | $2,969.16 | $3,001.72 | $2,944.26 | $2,976.28 | 255 624 |
Oct 24, 2022 | $3,034.75 | $3,064.42 | $2,965.17 | $2,977.56 | 298 120 |
Oct 21, 2022 | $3,038.04 | $3,055.42 | $3,026.96 | $3,038.93 | 3 050 801 392 |
Oct 20, 2022 | $3,029.30 | $3,070.26 | $3,013.69 | $3,035.05 | 244 712 |
Oct 19, 2022 | $3,073.26 | $3,081.39 | $3,044.38 | $3,044.38 | 230 904 |
Oct 18, 2022 | $3,094.93 | $3,099.92 | $3,074.22 | $3,080.96 | 245 609 |
Oct 17, 2022 | $3,060.52 | $3,087.19 | $3,052.71 | $3,084.94 | 262 609 |
Oct 14, 2022 | $3,035.03 | $3,084.27 | $3,035.03 | $3,071.99 | 1 960 678 971 |
Oct 13, 2022 | $3,008.30 | $3,036.25 | $3,004.50 | $3,016.36 | 249 722 |
Oct 12, 2022 | $2,976.72 | $3,025.51 | $2,934.09 | $3,025.51 | 248 009 |
Oct 11, 2022 | $2,978.06 | $2,986.91 | $2,953.50 | $2,979.79 | 208 615 |
Oct 10, 2022 | $3,026.94 | $3,029.45 | $2,968.28 | $2,974.15 | 243 417 |
Sep 30, 2022 | $3,042.17 | $3,054.61 | $3,021.93 | $3,024.39 | 3 231 963 106 |
Sep 29, 2022 | $3,067.47 | $3,076.76 | $3,026.08 | $3,041.20 | 230 007 |
Sep 28, 2022 | $3,089.10 | $3,089.10 | $3,044.86 | $3,045.07 | 230 106 |
Sep 27, 2022 | $3,056.39 | $3,094.04 | $3,048.37 | $3,093.86 | 232 712 |
Sep 26, 2022 | $3,067.57 | $3,102.65 | $3,048.51 | $3,051.23 | 262 700 |
Sep 23, 2022 | $3,106.81 | $3,124.66 | $3,072.24 | $3,088.37 | 2 831 130 031 |
Sep 22, 2022 | $3,098.77 | $3,125.68 | $3,092.82 | $3,108.91 | 221 117 |
Sep 21, 2022 | $3,116.01 | $3,129.82 | $3,091.30 | $3,117.18 | 233 000 |
Sep 20, 2022 | $3,127.84 | $3,140.03 | $3,114.04 | $3,122.41 | 219 909 |
Sep 19, 2022 | $3,122.75 | $3,135.56 | $3,101.22 | $3,115.60 | 249 118 |
Sep 16, 2022 | $3,189.83 | $3,191.83 | $3,126.40 | $3,126.40 | 1 582 910 862 |
Sep 15, 2022 | $3,248.97 | $3,254.18 | $3,174.39 | $3,199.92 | 325 201 |
Sep 14, 2022 | $3,224.68 | $3,250.80 | $3,221.96 | $3,237.54 | 255 223 |
FAQ
What are historical stock prices?
Historical stock prices refer to a stock’s recorded prices at various past points. These prices include several key figures that help investors and analysts evaluate a stock’s performance over time:
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
How can I use 000001.SS stock historical prices to predict future price movements?
Trend Analysis: Examine the 000001.SS stock’s historical trends to identify patterns that might continue.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
What impact do stock splits have on historical price data?
When a company performs a stock split, it adjusts the historical price data to reflect the new, lower trading price as if it had always been that way.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
Why do the 000001.SS stock historical prices show a range for periods like 30 days, 90 days, and 52 weeks?
The range provides the lowest and highest prices at which the stock has traded during the specified period. This helps investors understand the stock’s volatility and price variability within that timeframe.
How can I use historical price volatility to assess risk?
High price volatility historically indicates higher risk and potentially higher returns. Investors can gauge the stock’s risk level by examining the range between high and low prices over various periods.