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Range Low Price High Price Comment
30 days ¥2.04 ¥3.24 Friday, 17th May 2024 002808.SZ stock ended at ¥2.15. This is 1.38% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 11.68% from a day low at ¥2.14 to a day high of ¥2.39.
90 days ¥2.04 ¥3.71
52 weeks ¥2.04 ¥9.12

Historical Suzhou Goldengreen Technologies Ltd prices

Date Open High Low Close Volume
Jun 14, 2023 ¥6.04 ¥6.23 ¥6.01 ¥6.11 11 793 817
Jun 13, 2023 ¥5.94 ¥6.18 ¥5.90 ¥6.06 13 394 668
Jun 12, 2023 ¥6.14 ¥6.14 ¥5.88 ¥5.94 20 667 890
Jun 09, 2023 ¥6.20 ¥6.34 ¥6.16 ¥6.19 13 103 570
Jun 08, 2023 ¥6.34 ¥6.37 ¥6.15 ¥6.21 18 231 248
Jun 07, 2023 ¥6.12 ¥6.44 ¥6.03 ¥6.38 26 274 460
Jun 06, 2023 ¥6.37 ¥6.37 ¥6.05 ¥6.13 20 019 309
Jun 05, 2023 ¥6.09 ¥6.33 ¥5.95 ¥6.33 16 824 990
Jun 02, 2023 ¥5.68 ¥6.03 ¥5.68 ¥6.03 17 690 128
Jun 01, 2023 ¥6.08 ¥6.10 ¥5.73 ¥5.74 21 795 804
May 31, 2023 ¥5.66 ¥5.91 ¥5.66 ¥5.91 14 363 252
May 30, 2023 ¥5.87 ¥5.87 ¥5.63 ¥5.63 26 745 305
May 29, 2023 ¥5.76 ¥6.05 ¥5.76 ¥5.93 37 188 217
May 26, 2023 ¥6.06 ¥6.49 ¥6.06 ¥6.06 3 291 900
May 25, 2023 ¥6.38 ¥6.49 ¥6.38 ¥6.38 11 378 080
May 24, 2023 ¥7.40 ¥7.40 ¥6.70 ¥6.72 47 919 322
May 23, 2023 ¥6.71 ¥7.05 ¥6.71 ¥7.05 37 108 416
May 22, 2023 ¥6.71 ¥7.06 ¥6.71 ¥6.71 1 298 000
May 19, 2023 ¥7.06 ¥9.12 ¥7.06 ¥7.06 697 800
May 18, 2023 ¥7.43 ¥9.12 ¥7.43 ¥7.43 95 200
May 17, 2023 ¥7.82 ¥9.12 ¥7.82 ¥7.82 63 500
May 16, 2023 ¥8.23 ¥9.12 ¥8.23 ¥8.23 39 700
May 15, 2023 ¥8.66 ¥9.12 ¥8.66 ¥8.66 60 200
May 12, 2023 ¥9.12 ¥11.79 ¥9.12 ¥9.12 40 900
May 11, 2023 ¥9.60 ¥11.79 ¥9.60 ¥9.60 62 800

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 002808.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002808.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 002808.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 Suzhou Goldengreen Technologies Ltd

Suzhou Goldengreen Technologies Ltd., together with its subsidiaries, researches, develops, manufactures, and sells laser organic photo-conductor drum products in China. It also engages in software development and system integration in the field of information security, focusing on the research and development, production and sales of information security, and confidential technology and products. The company was founded in 2002 and is based in S... 002808.SZ Profile

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