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Range Low Price High Price Comment
30 days ¥31.14 ¥31.14 Wednesday, 19th Apr 2023 300226.SZ stock ended at ¥31.14. During the day the stock fluctuated 0% from a day low at ¥31.14 to a day high of ¥31.14.
90 days ¥29.66 ¥31.58
52 weeks ¥16.37 ¥33.61

Historical Shanghai Ganglian E-Commerce Holdings prices

Date Open High Low Close Volume
Jul 25, 2022 ¥21.86 ¥22.22 ¥21.30 ¥21.42 2 402 507
Jul 22, 2022 ¥22.40 ¥22.67 ¥21.63 ¥21.86 5 898 552
Jul 21, 2022 ¥22.26 ¥22.79 ¥22.14 ¥22.45 4 967 902
Jul 20, 2022 ¥21.66 ¥22.58 ¥21.50 ¥22.27 5 204 588
Jul 19, 2022 ¥21.47 ¥21.78 ¥21.20 ¥21.59 2 095 058
Jul 18, 2022 ¥20.80 ¥21.54 ¥20.76 ¥21.40 2 516 446
Jul 15, 2022 ¥21.26 ¥21.35 ¥20.74 ¥20.75 2 638 603
Jul 14, 2022 ¥21.25 ¥21.70 ¥21.16 ¥21.39 3 135 240
Jul 13, 2022 ¥21.31 ¥21.54 ¥21.10 ¥21.45 2 300 506
Jul 12, 2022 ¥21.68 ¥21.98 ¥21.18 ¥21.20 2 521 902
Jul 11, 2022 ¥22.60 ¥22.76 ¥21.41 ¥21.60 4 404 265
Jul 08, 2022 ¥21.88 ¥23.33 ¥21.73 ¥22.59 6 605 698
Jul 07, 2022 ¥21.89 ¥21.95 ¥21.54 ¥21.73 1 855 431
Jul 06, 2022 ¥22.34 ¥22.34 ¥21.45 ¥21.65 3 604 234
Jul 05, 2022 ¥22.51 ¥23.16 ¥21.98 ¥22.34 5 678 609
Jul 04, 2022 ¥22.25 ¥22.79 ¥22.03 ¥22.70 2 226 803
Jul 01, 2022 ¥22.69 ¥22.77 ¥22.20 ¥22.25 2 256 429
Jun 30, 2022 ¥22.50 ¥23.10 ¥22.50 ¥22.65 3 020 098
Jun 29, 2022 ¥22.86 ¥23.25 ¥22.50 ¥22.50 3 110 577
Jun 28, 2022 ¥22.88 ¥23.05 ¥22.62 ¥22.91 2 399 919
Jun 27, 2022 ¥22.92 ¥23.48 ¥22.74 ¥22.91 2 772 716
Jun 24, 2022 ¥22.37 ¥23.60 ¥22.37 ¥22.91 3 752 441
Jun 23, 2022 ¥22.35 ¥22.45 ¥21.80 ¥22.22 1 385 123
Jun 22, 2022 ¥22.80 ¥22.86 ¥22.09 ¥22.15 2 351 303
Jun 21, 2022 ¥22.71 ¥23.00 ¥22.35 ¥22.65 1 916 354

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 300226.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 300226.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 300226.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 Shanghai Ganglian E-Commerce Holdings

Shanghai Ganglian E-Commerce Holdings China Vanke Co., Ltd., together with its subsidiaries, engages in the development and sale of properties in the Mainland China, Hong Kong, and internationally. The company operates through Property Development and Property Management segments. It develops residential buildings, commercial offices, and other ancillary facilities. The company also provides property management and related services to purchasers and tenants of its own developed resid... 300226.SZ Profile

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