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Range Low Price High Price Comment
30 days ¥4.64 ¥5.65 Friday, 17th May 2024 002328.SZ stock ended at ¥5.30. This is 1.53% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 4.64% from a day low at ¥5.17 to a day high of ¥5.41.
90 days ¥4.64 ¥5.65
52 weeks ¥4.00 ¥6.78

Historical Shanghai Xinpeng Industry Co Ltd prices

Date Open High Low Close Volume
Dec 15, 2023 ¥6.00 ¥6.04 ¥5.96 ¥5.97 9 227 440
Dec 14, 2023 ¥6.05 ¥6.11 ¥6.00 ¥6.01 9 348 028
Dec 13, 2023 ¥6.06 ¥6.16 ¥6.00 ¥6.05 12 570 139
Dec 12, 2023 ¥6.07 ¥6.08 ¥6.01 ¥6.06 11 136 585
Dec 11, 2023 ¥5.99 ¥6.11 ¥5.94 ¥6.08 15 721 748
Dec 08, 2023 ¥6.30 ¥6.35 ¥6.02 ¥6.03 28 912 370
Dec 07, 2023 ¥6.32 ¥6.56 ¥6.17 ¥6.21 37 018 560
Dec 06, 2023 ¥6.15 ¥6.28 ¥6.14 ¥6.16 12 387 703
Dec 05, 2023 ¥6.28 ¥6.30 ¥6.15 ¥6.16 13 366 997
Dec 04, 2023 ¥6.31 ¥6.36 ¥6.25 ¥6.31 12 139 224
Dec 01, 2023 ¥6.28 ¥6.37 ¥6.22 ¥6.33 14 822 760
Nov 30, 2023 ¥6.40 ¥6.44 ¥6.21 ¥6.27 20 651 317
Nov 29, 2023 ¥6.38 ¥6.52 ¥6.33 ¥6.41 24 804 580
Nov 28, 2023 ¥6.30 ¥6.64 ¥6.27 ¥6.49 40 965 981
Nov 27, 2023 ¥6.25 ¥6.33 ¥6.20 ¥6.30 10 979 626
Nov 24, 2023 ¥6.36 ¥6.37 ¥6.22 ¥6.25 11 594 630
Nov 23, 2023 ¥6.20 ¥6.39 ¥6.19 ¥6.36 14 705 203
Nov 22, 2023 ¥6.26 ¥6.31 ¥6.18 ¥6.19 10 561 627
Nov 21, 2023 ¥6.34 ¥6.37 ¥6.27 ¥6.28 12 176 278
Nov 20, 2023 ¥6.36 ¥6.40 ¥6.31 ¥6.34 10 409 470
Nov 17, 2023 ¥6.24 ¥6.40 ¥6.23 ¥6.36 14 247 931
Nov 16, 2023 ¥6.38 ¥6.38 ¥6.25 ¥6.26 11 577 333
Nov 15, 2023 ¥6.23 ¥6.37 ¥6.17 ¥6.33 19 915 502
Nov 14, 2023 ¥6.15 ¥6.21 ¥6.13 ¥6.20 9 082 070
Nov 13, 2023 ¥6.10 ¥6.17 ¥6.08 ¥6.16 8 977 880

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 002328.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002328.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 002328.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 Xinpeng Industry Co Ltd

Shanghai Xinpeng Industry Co Ltd Shanghai Xinpeng Industry Co.,Ltd. develops, manufactures, and sells metal electromechanical parts primarily in China. The company manufactures various kinds of tooling and metal parts through stamping and sheet metal processes. Its products include molds, motors, stampings, auto parts, and plasma base plates, as well as OEM and CNC products. The company serves multinational corporations. Shanghai Xinpeng Industry Co.,Ltd. was founded 1997 and is... 002328.SZ Profile

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