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Range Low Price High Price Comment
30 days ¥3.80 ¥4.88 Monday, 20th May 2024 000701.SZ stock ended at ¥4.55. This is 2.15% less than the trading day before Friday, 17th May 2024. During the day the stock fluctuated 4.65% from a day low at ¥4.52 to a day high of ¥4.73.
90 days ¥3.30 ¥7.02
52 weeks ¥2.68 ¥7.97

Historical Xiamen Xinde Co Ltd prices

Date Open High Low Close Volume
May 20, 2024 ¥4.59 ¥4.73 ¥4.52 ¥4.55 39 618 000
May 17, 2024 ¥4.38 ¥4.75 ¥4.38 ¥4.65 56 206 870
May 16, 2024 ¥4.38 ¥4.88 ¥4.38 ¥4.61 70 340 300
May 15, 2024 ¥4.38 ¥4.52 ¥4.23 ¥4.47 45 703 399
May 14, 2024 ¥4.38 ¥4.38 ¥4.23 ¥4.30 15 058 300
May 13, 2024 ¥4.38 ¥4.38 ¥4.22 ¥4.25 22 819 442
May 10, 2024 ¥4.28 ¥4.47 ¥4.28 ¥4.42 32 228 701
May 09, 2024 ¥4.45 ¥4.45 ¥4.28 ¥4.40 29 203 701
May 08, 2024 ¥4.45 ¥4.45 ¥4.28 ¥4.31 23 188 400
May 07, 2024 ¥4.45 ¥4.45 ¥4.34 ¥4.39 25 650 320
May 06, 2024 ¥4.45 ¥4.47 ¥4.38 ¥4.40 28 394 582
Apr 30, 2024 ¥4.36 ¥4.50 ¥4.27 ¥4.36 40 493 141
Apr 29, 2024 ¥4.36 ¥4.47 ¥4.31 ¥4.45 48 861 542
Apr 26, 2024 ¥4.15 ¥4.55 ¥4.15 ¥4.39 65 150 085
Apr 25, 2024 ¥4.15 ¥4.26 ¥4.10 ¥4.22 35 626 303
Apr 24, 2024 ¥4.15 ¥4.22 ¥4.03 ¥4.17 36 495 803
Apr 23, 2024 ¥4.15 ¥4.15 ¥3.97 ¥4.07 35 687 473
Apr 22, 2024 ¥4.15 ¥4.22 ¥3.80 ¥4.07 61 523 802
Apr 19, 2024 ¥5.00 ¥5.00 ¥4.00 ¥4.03 50 935 483
Apr 18, 2024 ¥5.00 ¥5.00 ¥4.06 ¥4.18 63 682 591
Apr 17, 2024 ¥5.00 ¥5.00 ¥3.94 ¥4.19 65 185 884
Apr 16, 2024 ¥5.00 ¥5.00 ¥3.85 ¥3.87 66 470 837
Apr 15, 2024 ¥5.00 ¥5.00 ¥4.26 ¥4.27 72 117 400
Apr 12, 2024 ¥6.29 ¥6.29 ¥4.73 ¥4.73 95 894 326
Apr 11, 2024 ¥6.29 ¥6.29 ¥5.25 ¥5.25 110 313 336

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 000701.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 000701.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 000701.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 Xiamen Xinde Co Ltd

Xiamen Xindeco Ltd. engages in the electronic information, automobile distribution, and supply chain businesses in China and internationally. It produces a range of in-line LED, SMD LED, high power white LED, LED road lighting, LED tunnel lighting, LED indoor lighting, LED traffic display, LED display, and other products. The company is also involved in the research and development, manufacture, and sale of RFID products; and provision of supply ... 000701.SZ Profile

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