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Range Low Price High Price Comment
30 days ¥7.47 ¥9.08 Friday, 17th May 2024 002209.SZ stock ended at ¥8.95. This is 1.82% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 2.51% from a day low at ¥8.76 to a day high of ¥8.98.
90 days ¥6.31 ¥12.38
52 weeks ¥5.29 ¥12.38

Historical Guangzhou Tech-Long Packgng Mchnry CoLtd prices

Date Open High Low Close Volume
Oct 06, 2023 ¥10.14 ¥10.14 ¥10.14 ¥10.14 0
Sep 28, 2023 ¥10.25 ¥10.40 ¥10.07 ¥10.14 8 248 800
Sep 27, 2023 ¥10.04 ¥10.48 ¥10.00 ¥10.29 9 947 854
Sep 26, 2023 ¥9.92 ¥10.14 ¥9.87 ¥10.09 4 616 200
Sep 25, 2023 ¥9.94 ¥10.10 ¥9.86 ¥9.93 3 198 200
Sep 22, 2023 ¥9.60 ¥9.91 ¥9.55 ¥9.91 3 433 050
Sep 21, 2023 ¥9.64 ¥9.83 ¥9.60 ¥9.63 2 439 800
Sep 20, 2023 ¥9.82 ¥9.86 ¥9.66 ¥9.70 2 509 800
Sep 19, 2023 ¥9.85 ¥9.86 ¥9.74 ¥9.78 3 319 700
Sep 18, 2023 ¥9.56 ¥9.86 ¥9.51 ¥9.80 3 401 600
Sep 15, 2023 ¥9.71 ¥9.75 ¥9.56 ¥9.62 2 639 000
Sep 14, 2023 ¥9.73 ¥9.78 ¥9.57 ¥9.64 2 442 100
Sep 13, 2023 ¥9.83 ¥9.83 ¥9.62 ¥9.69 2 812 750
Sep 12, 2023 ¥9.91 ¥9.93 ¥9.77 ¥9.83 3 397 000
Sep 11, 2023 ¥9.85 ¥10.00 ¥9.77 ¥9.95 4 013 200
Sep 08, 2023 ¥9.90 ¥9.98 ¥9.80 ¥9.83 3 023 100
Sep 07, 2023 ¥9.95 ¥10.01 ¥9.82 ¥9.86 4 526 700
Sep 06, 2023 ¥9.90 ¥10.01 ¥9.78 ¥9.97 4 191 400
Sep 05, 2023 ¥9.91 ¥10.30 ¥9.85 ¥9.93 5 937 013
Sep 04, 2023 ¥9.85 ¥10.06 ¥9.83 ¥9.90 6 569 700
Sep 01, 2023 ¥9.82 ¥9.90 ¥9.70 ¥9.75 7 269 249
Aug 31, 2023 ¥9.85 ¥9.97 ¥9.66 ¥9.74 15 044 001
Aug 30, 2023 ¥9.48 ¥10.07 ¥9.46 ¥9.85 27 523 504
Aug 29, 2023 ¥8.70 ¥9.17 ¥8.64 ¥9.15 5 677 600
Aug 28, 2023 ¥8.91 ¥8.95 ¥8.66 ¥8.69 3 437 400

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 002209.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002209.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 002209.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 Guangzhou Tech-Long Packgng Mchnry CoLtd

Guangzhou Tech-Long Packgng Mchnry CoLtd Guangzhou Tech-Long Packaging Machinery Co.,Ltd. engages in the development and sale of beverage packaging solutions in China and internationally. It offers water treatment and pretreatment systems, blow molding machines, filling machines, container filling machines, blowing-filling-capping monoblock machines, labelling machines, conveying systems, packaging machines, blow molds, spare parts, packaging and industrial automation solutions, and ind... 002209.SZ Profile

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