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 |
Jun 14, 2023 | ¥7.67 | ¥7.70 | ¥7.64 | ¥7.65 | 3 074 200 |
Jun 13, 2023 | ¥7.63 | ¥7.68 | ¥7.61 | ¥7.63 | 4 096 503 |
Jun 12, 2023 | ¥7.64 | ¥7.69 | ¥7.63 | ¥7.63 | 2 850 020 |
Jun 09, 2023 | ¥7.62 | ¥7.71 | ¥7.60 | ¥7.66 | 3 201 500 |
Jun 08, 2023 | ¥7.58 | ¥7.67 | ¥7.58 | ¥7.65 | 2 549 400 |
Jun 07, 2023 | ¥7.62 | ¥7.66 | ¥7.54 | ¥7.61 | 3 869 200 |
Jun 06, 2023 | ¥7.75 | ¥7.77 | ¥7.57 | ¥7.57 | 7 236 158 |
Jun 05, 2023 | ¥7.72 | ¥7.78 | ¥7.66 | ¥7.77 | 4 206 092 |
Jun 02, 2023 | ¥7.77 | ¥7.83 | ¥7.72 | ¥7.72 | 5 243 000 |
Jun 01, 2023 | ¥7.85 | ¥7.85 | ¥7.76 | ¥7.77 | 5 353 500 |
May 31, 2023 | ¥7.96 | ¥7.96 | ¥7.80 | ¥7.86 | 5 902 484 |
May 30, 2023 | ¥7.85 | ¥7.97 | ¥7.81 | ¥7.96 | 6 336 984 |
May 29, 2023 | ¥7.79 | ¥7.92 | ¥7.77 | ¥7.89 | 6 864 176 |
May 26, 2023 | ¥7.70 | ¥7.86 | ¥7.60 | ¥7.80 | 6 200 000 |
May 25, 2023 | ¥7.64 | ¥7.80 | ¥7.60 | ¥7.76 | 7 981 229 |
May 24, 2023 | ¥7.65 | ¥7.75 | ¥7.63 | ¥7.64 | 4 769 688 |
May 23, 2023 | ¥7.81 | ¥7.82 | ¥7.66 | ¥7.68 | 5 966 300 |
May 22, 2023 | ¥7.77 | ¥7.84 | ¥7.74 | ¥7.80 | 3 944 502 |
May 19, 2023 | ¥7.88 | ¥7.88 | ¥7.75 | ¥7.77 | 7 440 092 |
May 18, 2023 | ¥7.95 | ¥7.95 | ¥7.85 | ¥7.85 | 7 898 944 |
May 17, 2023 | ¥7.90 | ¥7.93 | ¥7.75 | ¥7.89 | 6 890 286 |
May 16, 2023 | ¥8.02 | ¥8.06 | ¥7.87 | ¥7.91 | 9 338 030 |
May 15, 2023 | ¥8.02 | ¥8.07 | ¥7.89 | ¥8.01 | 11 965 891 |
May 12, 2023 | ¥7.90 | ¥8.07 | ¥7.90 | ¥8.00 | 12 328 200 |
May 11, 2023 | ¥7.89 | ¥7.98 | ¥7.85 | ¥7.96 | 7 766 869 |
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.