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Range Low Price High Price Comment
30 days ¥9.77 ¥9.77 Wednesday, 19th Apr 2023 300588.SZ stock ended at ¥9.77. During the day the stock fluctuated 0% from a day low at ¥9.77 to a day high of ¥9.77.
90 days ¥9.36 ¥9.88
52 weeks ¥8.38 ¥13.80

Historical Xinjiang Sailing Information Tech Co Ltd prices

Date Open High Low Close Volume
Oct 11, 2022 ¥8.57 ¥8.71 ¥8.38 ¥8.62 1 657 820
Oct 10, 2022 ¥8.83 ¥8.92 ¥8.43 ¥8.49 1 872 160
Sep 30, 2022 ¥8.90 ¥9.01 ¥8.80 ¥8.83 1 168 100
Sep 29, 2022 ¥9.08 ¥9.16 ¥8.88 ¥8.94 3 013 360
Sep 28, 2022 ¥9.26 ¥9.32 ¥9.00 ¥9.02 4 006 160
Sep 27, 2022 ¥9.02 ¥9.28 ¥8.94 ¥9.26 1 863 071
Sep 26, 2022 ¥9.03 ¥9.17 ¥8.93 ¥8.99 2 328 500
Sep 23, 2022 ¥9.61 ¥9.61 ¥9.16 ¥9.17 2 750 371
Sep 22, 2022 ¥9.40 ¥9.76 ¥9.35 ¥9.53 2 414 900
Sep 21, 2022 ¥9.41 ¥9.59 ¥9.09 ¥9.51 2 260 800
Sep 20, 2022 ¥9.29 ¥9.52 ¥9.29 ¥9.43 1 798 060
Sep 19, 2022 ¥9.40 ¥9.47 ¥9.22 ¥9.28 2 047 720
Sep 16, 2022 ¥9.70 ¥9.77 ¥9.45 ¥9.45 2 142 329
Sep 15, 2022 ¥9.83 ¥9.95 ¥9.48 ¥9.64 2 728 500
Sep 14, 2022 ¥9.80 ¥9.94 ¥9.70 ¥9.85 2 977 380
Sep 13, 2022 ¥9.82 ¥10.30 ¥9.79 ¥9.94 4 278 720
Sep 09, 2022 ¥10.10 ¥10.26 ¥9.77 ¥9.84 7 616 920
Sep 08, 2022 ¥10.05 ¥10.72 ¥9.77 ¥10.23 9 897 520
Sep 07, 2022 ¥10.02 ¥10.07 ¥9.90 ¥10.00 2 294 920
Sep 06, 2022 ¥10.12 ¥10.19 ¥9.95 ¥10.05 2 899 186
Sep 05, 2022 ¥10.24 ¥10.45 ¥10.05 ¥10.11 2 376 160
Sep 02, 2022 ¥9.84 ¥10.29 ¥9.84 ¥10.27 3 721 500
Sep 01, 2022 ¥10.15 ¥10.25 ¥9.79 ¥9.84 3 209 100
Aug 31, 2022 ¥10.34 ¥10.37 ¥9.96 ¥10.04 3 113 545
Aug 30, 2022 ¥10.50 ¥10.86 ¥10.22 ¥10.29 3 560 505

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 300588.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 300588.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 300588.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 Xinjiang Sailing Information Tech Co Ltd

Xinjiang Sailing Information Tech Co Ltd 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... 300588.SZ Profile

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