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Range Low Price High Price Comment
30 days ¥1.95 ¥2.56 Friday, 17th May 2024 002652.SZ stock ended at ¥2.46. During the day the stock fluctuated 2.47% from a day low at ¥2.43 to a day high of ¥2.49.
90 days ¥1.72 ¥2.81
52 weeks ¥1.58 ¥3.95

Historical Suzhou Yangtze New Materials Co Ltd prices

Date Open High Low Close Volume
May 17, 2024 ¥2.44 ¥2.49 ¥2.43 ¥2.46 12 666 060
May 16, 2024 ¥2.44 ¥2.56 ¥2.44 ¥2.46 15 156 560
May 15, 2024 ¥2.44 ¥2.53 ¥2.39 ¥2.48 14 863 300
May 14, 2024 ¥2.44 ¥2.44 ¥2.33 ¥2.42 9 909 120
May 13, 2024 ¥2.44 ¥2.44 ¥2.33 ¥2.35 11 513 500
May 10, 2024 ¥2.47 ¥2.47 ¥2.37 ¥2.42 11 721 700
May 09, 2024 ¥2.41 ¥2.48 ¥2.41 ¥2.44 11 523 960
May 08, 2024 ¥2.41 ¥2.53 ¥2.41 ¥2.44 14 840 000
May 07, 2024 ¥2.41 ¥2.56 ¥2.41 ¥2.54 22 799 879
May 06, 2024 ¥2.41 ¥2.52 ¥2.40 ¥2.44 17 572 119
Apr 30, 2024 ¥2.23 ¥2.44 ¥2.23 ¥2.40 25 746 300
Apr 29, 2024 ¥2.23 ¥2.46 ¥2.21 ¥2.41 35 216 030
Apr 26, 2024 ¥2.07 ¥2.24 ¥2.07 ¥2.24 17 960 651
Apr 25, 2024 ¥2.07 ¥2.25 ¥2.07 ¥2.24 29 245 400
Apr 24, 2024 ¥2.07 ¥2.17 ¥2.07 ¥2.12 17 824 256
Apr 23, 2024 ¥2.07 ¥2.12 ¥2.00 ¥2.11 20 673 800
Apr 22, 2024 ¥2.07 ¥2.07 ¥1.95 ¥2.00 15 473 675
Apr 19, 2024 ¥2.56 ¥2.56 ¥2.00 ¥2.05 18 333 400
Apr 18, 2024 ¥2.56 ¥2.56 ¥2.05 ¥2.07 25 889 153
Apr 17, 2024 ¥2.56 ¥2.56 ¥2.01 ¥2.12 29 011 740
Apr 16, 2024 ¥2.56 ¥2.56 ¥2.01 ¥2.01 10 650 400
Apr 15, 2024 ¥2.56 ¥2.56 ¥2.23 ¥2.23 27 919 700
Apr 12, 2024 ¥2.74 ¥2.74 ¥2.46 ¥2.48 13 911 700
Apr 11, 2024 ¥2.74 ¥2.74 ¥2.52 ¥2.56 12 255 550
Apr 10, 2024 ¥2.74 ¥2.74 ¥2.53 ¥2.58 21 115 800

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 002652.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002652.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 002652.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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