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Range Low Price High Price Comment
30 days ¥2.92 ¥3.59 Friday, 17th May 2024 000637.SZ stock ended at ¥3.50. This is 2.94% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 2.93% from a day low at ¥3.41 to a day high of ¥3.51.
90 days ¥2.66 ¥3.59
52 weeks ¥2.61 ¥4.29

Historical Maoming Petro-Chemical Shihua Co., Ltd. prices

Date Open High Low Close Volume
Dec 15, 2023 ¥3.54 ¥3.64 ¥3.51 ¥3.57 4 340 000
Dec 14, 2023 ¥3.48 ¥3.54 ¥3.47 ¥3.52 2 603 600
Dec 13, 2023 ¥3.51 ¥3.51 ¥3.44 ¥3.47 3 725 800
Dec 12, 2023 ¥3.55 ¥3.56 ¥3.47 ¥3.49 3 796 900
Dec 11, 2023 ¥3.57 ¥3.58 ¥3.50 ¥3.57 2 775 095
Dec 08, 2023 ¥3.67 ¥3.67 ¥3.56 ¥3.57 3 805 900
Dec 07, 2023 ¥3.64 ¥3.65 ¥3.61 ¥3.63 2 044 200
Dec 06, 2023 ¥3.63 ¥3.67 ¥3.62 ¥3.63 1 805 425
Dec 05, 2023 ¥3.71 ¥3.72 ¥3.62 ¥3.62 1 709 500
Dec 04, 2023 ¥3.66 ¥3.77 ¥3.62 ¥3.70 2 176 558
Dec 01, 2023 ¥3.60 ¥3.67 ¥3.59 ¥3.66 2 084 454
Nov 30, 2023 ¥3.70 ¥3.72 ¥3.58 ¥3.60 3 394 429
Nov 29, 2023 ¥3.73 ¥3.75 ¥3.70 ¥3.71 1 782 157
Nov 28, 2023 ¥3.71 ¥3.74 ¥3.69 ¥3.73 1 572 165
Nov 27, 2023 ¥3.77 ¥3.78 ¥3.68 ¥3.71 3 869 189
Nov 24, 2023 ¥3.83 ¥3.88 ¥3.76 ¥3.80 5 239 300
Nov 23, 2023 ¥3.75 ¥3.88 ¥3.73 ¥3.83 5 178 086
Nov 22, 2023 ¥3.71 ¥3.83 ¥3.69 ¥3.73 5 551 289
Nov 21, 2023 ¥3.73 ¥3.73 ¥3.69 ¥3.70 2 628 812
Nov 20, 2023 ¥3.75 ¥3.75 ¥3.70 ¥3.72 2 057 001
Nov 17, 2023 ¥3.70 ¥3.73 ¥3.68 ¥3.73 1 654 900
Nov 16, 2023 ¥3.73 ¥3.76 ¥3.70 ¥3.70 2 146 700
Nov 15, 2023 ¥3.76 ¥3.79 ¥3.71 ¥3.75 3 751 157
Nov 14, 2023 ¥3.71 ¥3.79 ¥3.67 ¥3.75 4 682 857
Nov 13, 2023 ¥3.68 ¥3.70 ¥3.62 ¥3.69 4 280 102

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.

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.

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.

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.
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About Maoming Petro-Chemical Shihua Co., Ltd.

Maoming Petro-Chemical Shihua Co., Ltd manufactures and sells petrochemicals in the People's Republic of China. It offers polypropylene resin powders, secondary butyl acetate, methyl tert-butyl ether, ethanolamine, industrial and light white oil, ethylene, butane, propane, carbon, liquefied petroleum gas, and plastic products. Maoming Petro-Chemical Shihua Co., Ltd was founded in 1988 and is based in Maoming, the People's Republic of China.... 000637.SZ Profile

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