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Range Low Price High Price Comment
30 days ¥3.47 ¥4.22 Monday, 17th Jun 2024 000055.SZ stock ended at ¥3.53. This is 0.84% less than the trading day before Friday, 14th Jun 2024. During the day the stock fluctuated 3.17% from a day low at ¥3.47 to a day high of ¥3.58.
90 days ¥3.47 ¥4.29
52 weeks ¥3.28 ¥5.17

Historical FANGDA GRP/Shs A Vtg 1.00 prices

Date Open High Low Close Volume
Jul 01, 2022 ¥4.51 ¥4.53 ¥4.39 ¥4.43 26 919 513
Jun 30, 2022 ¥4.50 ¥4.63 ¥4.48 ¥4.48 25 058 799
Jun 29, 2022 ¥4.48 ¥4.88 ¥4.48 ¥4.58 42 471 177
Jun 28, 2022 ¥4.57 ¥4.62 ¥4.45 ¥4.48 51 814 247
Jun 27, 2022 ¥4.47 ¥4.87 ¥4.40 ¥4.66 64 989 487
Jun 24, 2022 ¥4.39 ¥4.45 ¥4.37 ¥4.43 11 187 800
Jun 23, 2022 ¥4.32 ¥4.42 ¥4.28 ¥4.39 8 592 800
Jun 22, 2022 ¥4.33 ¥4.37 ¥4.27 ¥4.36 13 063 100
Jun 21, 2022 ¥4.24 ¥4.36 ¥4.20 ¥4.35 18 157 100
Jun 20, 2022 ¥4.16 ¥4.22 ¥4.14 ¥4.22 6 413 100
Jun 17, 2022 ¥4.13 ¥4.17 ¥4.10 ¥4.15 5 793 700
Jun 16, 2022 ¥4.16 ¥4.21 ¥4.14 ¥4.17 7 728 900
Jun 15, 2022 ¥4.21 ¥4.25 ¥4.16 ¥4.16 9 154 888
Jun 14, 2022 ¥4.17 ¥4.17 ¥4.03 ¥4.17 9 044 203
Jun 13, 2022 ¥4.22 ¥4.26 ¥4.14 ¥4.17 8 247 900
Jun 10, 2022 ¥4.18 ¥4.27 ¥4.15 ¥4.26 5 087 677
Jun 09, 2022 ¥4.28 ¥4.33 ¥4.20 ¥4.23 12 102 704
Jun 08, 2022 ¥4.26 ¥4.38 ¥4.24 ¥4.32 20 515 356
Jun 07, 2022 ¥4.24 ¥4.33 ¥4.24 ¥4.28 21 390 800
Jun 06, 2022 ¥4.22 ¥4.24 ¥4.18 ¥4.24 10 646 402
Jun 02, 2022 ¥4.20 ¥4.24 ¥4.15 ¥4.23 9 419 950
Jun 01, 2022 ¥4.20 ¥4.25 ¥4.17 ¥4.20 7 825 832
May 31, 2022 ¥4.17 ¥4.24 ¥4.17 ¥4.21 8 642 635
May 30, 2022 ¥4.17 ¥4.24 ¥4.17 ¥4.20 8 477 400
May 27, 2022 ¥4.18 ¥4.19 ¥4.13 ¥4.17 11 538 871

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 000055.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 000055.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 000055.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 FANGDA GRP/Shs A Vtg 1.00

FANGDA GRP/Shs A Vtg 1.00 China Fangda Group Co., Ltd. manufactures and sells curtain wall systems and materials in China and internationally. It operates in five segments: Curtain Wall, Rail Transport, Real Estate, New Energy, and Others. The company's primary products include energy-saving curtain walls, photo-electricity curtain walls, LED colour-display curtain walls, PVDF aluminium plate and graphene aluminium plate materials. Its construction curtain walls are used ... 000055.SZ Profile

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