SZCE:002207
Xinjiang Zhundong Petroleum Tech Co Ltd Stock Price (Quote)
¥5.70
+0.430 (+8.16%)
At Close: May 20, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥5.02 | ¥5.89 | Monday, 20th May 2024 002207.SZ stock ended at ¥5.70. This is 8.16% more than the trading day before Friday, 17th May 2024. During the day the stock fluctuated 10.48% from a day low at ¥5.25 to a day high of ¥5.80. |
90 days | ¥4.16 | ¥7.37 | |
52 weeks | ¥3.46 | ¥9.08 |
Date | Open | High | Low | Close | Volume |
Jan 04, 2022 | ¥5.69 | ¥5.85 | ¥5.68 | ¥5.84 | 3 059 415 |
Jan 03, 2022 | ¥5.71 | ¥5.71 | ¥5.71 | ¥5.71 | 0 |
Dec 31, 2021 | ¥5.69 | ¥5.77 | ¥5.67 | ¥5.69 | 2 303 020 |
Dec 30, 2021 | ¥5.66 | ¥5.81 | ¥5.66 | ¥5.69 | 2 696 900 |
Dec 29, 2021 | ¥5.65 | ¥5.70 | ¥5.60 | ¥5.65 | 1 705 602 |
Dec 28, 2021 | ¥5.66 | ¥5.76 | ¥5.63 | ¥5.66 | 2 441 800 |
Dec 27, 2021 | ¥5.53 | ¥5.69 | ¥5.52 | ¥5.66 | 2 255 500 |
Dec 24, 2021 | ¥5.70 | ¥5.77 | ¥5.53 | ¥5.54 | 4 094 900 |
Dec 23, 2021 | ¥5.87 | ¥5.90 | ¥5.69 | ¥5.69 | 5 044 700 |
Dec 22, 2021 | ¥5.93 | ¥6.17 | ¥5.85 | ¥5.87 | 5 577 750 |
Dec 21, 2021 | ¥5.70 | ¥5.99 | ¥5.68 | ¥5.92 | 6 478 402 |
Dec 20, 2021 | ¥5.59 | ¥5.88 | ¥5.59 | ¥5.69 | 9 636 457 |
Dec 17, 2021 | ¥5.94 | ¥6.05 | ¥5.89 | ¥5.90 | 4 083 400 |
Dec 16, 2021 | ¥6.00 | ¥6.08 | ¥5.90 | ¥5.94 | 4 031 500 |
Dec 15, 2021 | ¥5.91 | ¥6.03 | ¥5.91 | ¥6.01 | 3 079 506 |
Dec 14, 2021 | ¥5.90 | ¥5.92 | ¥5.85 | ¥5.92 | 1 588 400 |
Dec 13, 2021 | ¥5.91 | ¥5.94 | ¥5.84 | ¥5.90 | 3 516 120 |
Dec 10, 2021 | ¥5.89 | ¥6.03 | ¥5.88 | ¥5.91 | 3 575 420 |
Dec 09, 2021 | ¥6.04 | ¥6.08 | ¥5.87 | ¥5.93 | 4 532 952 |
Dec 08, 2021 | ¥6.03 | ¥6.18 | ¥6.01 | ¥6.05 | 2 442 040 |
Dec 07, 2021 | ¥6.11 | ¥6.13 | ¥6.00 | ¥6.04 | 2 987 520 |
Dec 06, 2021 | ¥6.14 | ¥6.17 | ¥6.02 | ¥6.06 | 2 714 115 |
Dec 03, 2021 | ¥6.05 | ¥6.32 | ¥6.05 | ¥6.17 | 3 890 000 |
Dec 02, 2021 | ¥6.15 | ¥6.24 | ¥6.09 | ¥6.09 | 3 522 020 |
Dec 01, 2021 | ¥5.90 | ¥6.30 | ¥5.85 | ¥6.19 | 7 849 862 |
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 002207.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002207.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 002207.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.