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Range Low Price High Price Comment
30 days ¥12.84 ¥12.84 Wednesday, 19th Apr 2023 300467.SZ stock ended at ¥12.84. During the day the stock fluctuated 0% from a day low at ¥12.84 to a day high of ¥12.84.
90 days ¥12.20 ¥12.97
52 weeks ¥9.57 ¥13.30

Historical Sichuan Xunyou Network Technology Co Ltd prices

Date Open High Low Close Volume
Feb 01, 2023 ¥12.84 ¥12.84 ¥12.84 ¥12.84 0
Jan 30, 2023 ¥12.84 ¥12.84 ¥12.84 ¥12.84 0
Jan 28, 2023 ¥12.84 ¥12.84 ¥12.84 ¥12.84 0
Jan 20, 2023 ¥12.65 ¥12.97 ¥12.54 ¥12.84 5 973 404
Jan 19, 2023 ¥12.20 ¥12.73 ¥12.20 ¥12.67 4 902 300
Jan 18, 2023 ¥11.99 ¥12.37 ¥11.94 ¥12.28 5 327 400
Jan 17, 2023 ¥11.93 ¥12.14 ¥11.73 ¥11.99 3 727 267
Jan 16, 2023 ¥12.06 ¥12.08 ¥11.89 ¥11.92 3 554 700
Jan 13, 2023 ¥12.00 ¥12.09 ¥11.88 ¥12.04 2 870 800
Jan 12, 2023 ¥12.07 ¥12.24 ¥11.91 ¥12.00 4 188 437
Jan 11, 2023 ¥12.28 ¥12.38 ¥12.00 ¥12.00 3 173 218
Jan 10, 2023 ¥12.39 ¥12.40 ¥12.17 ¥12.28 3 249 300
Jan 09, 2023 ¥12.32 ¥12.43 ¥12.22 ¥12.34 3 709 900
Jan 06, 2023 ¥12.48 ¥12.73 ¥12.27 ¥12.36 5 815 400
Jan 05, 2023 ¥12.72 ¥12.81 ¥12.41 ¥12.48 14 802 318
Jan 04, 2023 ¥12.20 ¥13.20 ¥12.18 ¥12.90 13 714 210
Jan 03, 2023 ¥11.99 ¥12.36 ¥11.88 ¥12.29 7 899 300
Dec 30, 2022 ¥11.59 ¥12.00 ¥11.43 ¥11.91 7 493 800
Dec 29, 2022 ¥11.99 ¥12.19 ¥11.63 ¥11.69 7 402 267
Dec 28, 2022 ¥11.56 ¥11.85 ¥11.43 ¥11.70 4 507 567
Dec 27, 2022 ¥11.70 ¥11.85 ¥11.54 ¥11.61 4 796 400
Dec 26, 2022 ¥11.54 ¥11.75 ¥11.36 ¥11.67 7 040 234
Dec 23, 2022 ¥10.97 ¥11.85 ¥10.92 ¥11.56 9 002 740
Dec 22, 2022 ¥11.00 ¥11.29 ¥10.88 ¥10.97 3 083 400
Dec 21, 2022 ¥11.08 ¥11.17 ¥10.80 ¥10.88 2 130 300

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 300467.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 300467.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 300467.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 Sichuan Xunyou Network Technology Co Ltd

Sichuan Xunyou Network Technology 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... 300467.SZ Profile

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