SZCE:000637
Maoming Petro-Chemical Shihua Co., Ltd. Stock Price (Quote)
¥3.77
+0.0700 (+1.89%)
At Close: May 23, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥2.96 | ¥3.80 | Thursday, 23rd May 2024 000637.SZ stock ended at ¥3.77. This is 1.89% more than the trading day before Wednesday, 22nd May 2024. During the day the stock fluctuated 10.85% from a day low at ¥3.41 to a day high of ¥3.78. |
90 days | ¥2.92 | ¥3.80 | |
52 weeks | ¥2.61 | ¥4.29 |
Date | Open | High | Low | Close | Volume |
Oct 12, 2023 | ¥3.96 | ¥4.01 | ¥3.90 | ¥3.98 | 5 789 646 |
Oct 11, 2023 | ¥4.10 | ¥4.14 | ¥3.93 | ¥3.95 | 11 346 953 |
Oct 10, 2023 | ¥4.29 | ¥4.29 | ¥4.09 | ¥4.10 | 14 924 000 |
Oct 09, 2023 | ¥4.20 | ¥4.27 | ¥4.08 | ¥4.15 | 9 895 200 |
Oct 06, 2023 | ¥4.16 | ¥4.16 | ¥4.16 | ¥4.16 | 0 |
Sep 28, 2023 | ¥4.02 | ¥4.16 | ¥3.98 | ¥4.16 | 9 788 837 |
Sep 27, 2023 | ¥3.94 | ¥3.99 | ¥3.92 | ¥3.96 | 6 151 302 |
Sep 26, 2023 | ¥3.97 | ¥4.06 | ¥3.92 | ¥3.95 | 7 942 400 |
Sep 25, 2023 | ¥3.87 | ¥4.07 | ¥3.87 | ¥3.94 | 11 642 211 |
Sep 22, 2023 | ¥3.86 | ¥3.99 | ¥3.85 | ¥3.89 | 13 811 300 |
Sep 21, 2023 | ¥4.03 | ¥4.06 | ¥3.88 | ¥3.88 | 21 864 100 |
Sep 20, 2023 | ¥4.05 | ¥4.22 | ¥3.97 | ¥4.08 | 24 097 300 |
Sep 19, 2023 | ¥4.10 | ¥4.12 | ¥3.91 | ¥4.08 | 31 635 087 |
Sep 18, 2023 | ¥3.97 | ¥4.02 | ¥3.97 | ¥4.02 | 5 661 546 |
Sep 15, 2023 | ¥3.65 | ¥3.83 | ¥3.65 | ¥3.83 | 13 082 535 |
Sep 14, 2023 | ¥3.65 | ¥3.78 | ¥3.61 | ¥3.65 | 11 475 700 |
Sep 13, 2023 | ¥3.53 | ¥3.71 | ¥3.51 | ¥3.66 | 15 960 044 |
Sep 12, 2023 | ¥3.54 | ¥3.55 | ¥3.49 | ¥3.53 | 3 599 600 |
Sep 11, 2023 | ¥3.48 | ¥3.55 | ¥3.47 | ¥3.53 | 5 300 500 |
Sep 08, 2023 | ¥3.45 | ¥3.48 | ¥3.42 | ¥3.48 | 3 331 300 |
Sep 07, 2023 | ¥3.43 | ¥3.44 | ¥3.40 | ¥3.44 | 2 085 201 |
Sep 06, 2023 | ¥3.45 | ¥3.49 | ¥3.42 | ¥3.45 | 2 996 678 |
Sep 05, 2023 | ¥3.45 | ¥3.47 | ¥3.41 | ¥3.45 | 3 285 509 |
Sep 04, 2023 | ¥3.40 | ¥3.47 | ¥3.39 | ¥3.45 | 4 197 858 |
Sep 01, 2023 | ¥3.33 | ¥3.39 | ¥3.31 | ¥3.39 | 3 333 958 |
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 000637.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 000637.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 000637.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.