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Range Low Price High Price Comment
30 days ¥1.77 ¥2.07 Monday, 20th May 2024 000010.SZ stock ended at ¥2.00. This is 1.96% less than the trading day before Friday, 17th May 2024. During the day the stock fluctuated 3.50% from a day low at ¥2.00 to a day high of ¥2.07.
90 days ¥1.65 ¥2.58
52 weeks ¥1.60 ¥4.39

Historical Shenzhen Ecobeauty Co Ltd prices

Date Open High Low Close Volume
May 20, 2024 ¥2.03 ¥2.07 ¥2.00 ¥2.00 19 479 200
May 17, 2024 ¥2.01 ¥2.07 ¥2.01 ¥2.04 17 385 600
May 16, 2024 ¥2.01 ¥2.05 ¥1.94 ¥2.03 25 293 800
May 15, 2024 ¥2.01 ¥2.02 ¥1.92 ¥1.96 18 354 900
May 14, 2024 ¥2.01 ¥2.01 ¥1.87 ¥1.94 15 414 920
May 13, 2024 ¥2.01 ¥2.01 ¥1.91 ¥1.91 13 051 300
May 10, 2024 ¥1.98 ¥2.03 ¥1.97 ¥1.98 11 034 400
May 09, 2024 ¥2.05 ¥2.05 ¥1.97 ¥2.01 11 105 882
May 08, 2024 ¥2.05 ¥2.05 ¥1.97 ¥1.98 14 618 000
May 07, 2024 ¥2.05 ¥2.07 ¥2.00 ¥2.04 18 213 300
May 06, 2024 ¥2.05 ¥2.05 ¥1.97 ¥2.00 17 632 300
Apr 30, 2024 ¥1.86 ¥2.06 ¥1.86 ¥1.97 23 336 400
Apr 29, 2024 ¥1.86 ¥2.07 ¥1.86 ¥2.06 30 270 900
Apr 26, 2024 ¥1.89 ¥1.90 ¥1.82 ¥1.88 13 832 000
Apr 25, 2024 ¥1.89 ¥1.93 ¥1.85 ¥1.86 14 368 800
Apr 24, 2024 ¥1.89 ¥1.93 ¥1.86 ¥1.90 14 839 500
Apr 23, 2024 ¥1.89 ¥1.89 ¥1.78 ¥1.87 17 996 900
Apr 22, 2024 ¥1.89 ¥1.89 ¥1.77 ¥1.81 12 670 400
Apr 19, 2024 ¥2.19 ¥2.19 ¥1.85 ¥1.87 12 460 409
Apr 18, 2024 ¥2.19 ¥2.19 ¥1.84 ¥1.90 21 118 200
Apr 17, 2024 ¥2.19 ¥2.19 ¥1.65 ¥1.89 31 411 400
Apr 16, 2024 ¥2.19 ¥2.19 ¥1.76 ¥1.76 23 771 600
Apr 15, 2024 ¥2.19 ¥2.19 ¥1.93 ¥1.96 28 872 600
Apr 12, 2024 ¥2.42 ¥2.42 ¥2.13 ¥2.14 14 353 800
Apr 11, 2024 ¥2.42 ¥2.42 ¥2.14 ¥2.20 12 956 100

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 000010.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 000010.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 000010.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 Shenzhen Ecobeauty Co Ltd

Shenzhen Ecobeauty Co., Ltd. engages in the civil engineering and construction business. The company undertakes municipal public works, landscape architecture and greening engineering, tunnel engineering, highway engineering, and railway engineering, as well as urban and rural construction. It also provides water conservancy and hydropower engineering, environmental protection engineering, construction engineering, urban and road lighting enginee... 000010.SZ Profile

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