SZCE:002267
ShaanXi Provincial Natural Gas Co., Ltd. Stock Price (Quote)
¥7.84
+0 (+0%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥6.56 | ¥8.02 | Friday, 17th May 2024 002267.SZ stock ended at ¥7.84. During the day the stock fluctuated 2.44% from a day low at ¥7.79 to a day high of ¥7.98. |
90 days | ¥6.27 | ¥8.02 | |
52 weeks | ¥5.76 | ¥8.12 |
Date | Open | High | Low | Close | Volume |
Feb 11, 2022 | ¥6.91 | ¥6.94 | ¥6.81 | ¥6.84 | 4 911 141 |
Feb 10, 2022 | ¥6.87 | ¥6.97 | ¥6.86 | ¥6.91 | 4 797 890 |
Feb 09, 2022 | ¥6.88 | ¥6.90 | ¥6.79 | ¥6.90 | 5 912 868 |
Feb 08, 2022 | ¥6.67 | ¥6.94 | ¥6.67 | ¥6.88 | 8 449 073 |
Feb 07, 2022 | ¥6.53 | ¥6.71 | ¥6.53 | ¥6.70 | 7 258 262 |
Feb 05, 2022 | ¥6.48 | ¥6.48 | ¥6.48 | ¥6.48 | 0 |
Jan 28, 2022 | ¥6.50 | ¥6.54 | ¥6.44 | ¥6.50 | 4 991 301 |
Jan 27, 2022 | ¥6.68 | ¥6.71 | ¥6.41 | ¥6.44 | 6 241 600 |
Jan 26, 2022 | ¥6.66 | ¥6.71 | ¥6.65 | ¥6.69 | 2 245 930 |
Jan 25, 2022 | ¥6.76 | ¥6.79 | ¥6.64 | ¥6.66 | 4 861 200 |
Jan 24, 2022 | ¥6.82 | ¥6.84 | ¥6.76 | ¥6.78 | 3 925 600 |
Jan 21, 2022 | ¥6.97 | ¥6.97 | ¥6.83 | ¥6.84 | 5 748 495 |
Jan 20, 2022 | ¥7.09 | ¥7.10 | ¥6.94 | ¥6.95 | 10 099 504 |
Jan 19, 2022 | ¥7.11 | ¥7.17 | ¥7.08 | ¥7.10 | 5 174 949 |
Jan 18, 2022 | ¥7.13 | ¥7.18 | ¥7.07 | ¥7.14 | 6 737 008 |
Jan 17, 2022 | ¥7.09 | ¥7.15 | ¥7.08 | ¥7.13 | 5 109 729 |
Jan 14, 2022 | ¥7.35 | ¥7.35 | ¥7.09 | ¥7.09 | 15 822 912 |
Jan 13, 2022 | ¥7.40 | ¥7.46 | ¥7.36 | ¥7.37 | 9 120 780 |
Jan 12, 2022 | ¥7.39 | ¥7.41 | ¥7.33 | ¥7.37 | 5 896 900 |
Jan 11, 2022 | ¥7.38 | ¥7.44 | ¥7.36 | ¥7.36 | 5 085 738 |
Jan 10, 2022 | ¥7.38 | ¥7.42 | ¥7.28 | ¥7.40 | 6 688 222 |
Jan 07, 2022 | ¥7.39 | ¥7.47 | ¥7.33 | ¥7.36 | 10 852 863 |
Jan 06, 2022 | ¥7.29 | ¥7.38 | ¥7.26 | ¥7.37 | 7 794 157 |
Jan 05, 2022 | ¥7.42 | ¥7.43 | ¥7.27 | ¥7.29 | 10 569 716 |
Jan 04, 2022 | ¥7.37 | ¥7.44 | ¥7.35 | ¥7.44 | 9 870 894 |
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 002267.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002267.SZ 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 002267.SZ 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.