SZCE:002463
WUS Printed Circuit (Kunshan) Co.,Ltd. Stock Price (Quote)
¥31.15
+0.0600 (+0.193%)
At Close: May 30, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥30.46 | ¥34.66 | Thursday, 30th May 2024 002463.SZ stock ended at ¥31.15. This is 0.193% more than the trading day before Wednesday, 29th May 2024. During the day the stock fluctuated 5.55% from a day low at ¥30.46 to a day high of ¥32.15. |
90 days | ¥26.39 | ¥34.66 | |
52 weeks | ¥18.42 | ¥34.66 |
Historical WUS Printed Circuit (Kunshan) Co.,Ltd. prices
Date | Open | High | Low | Close | Volume |
May 30, 2024 | ¥32.15 | ¥32.15 | ¥30.46 | ¥31.15 | 20 539 982 |
May 29, 2024 | ¥32.15 | ¥32.15 | ¥31.09 | ¥31.09 | 24 854 503 |
May 28, 2024 | ¥32.15 | ¥32.28 | ¥31.02 | ¥31.10 | 33 613 241 |
May 24, 2024 | ¥32.53 | ¥33.33 | ¥31.11 | ¥31.24 | 48 046 885 |
May 23, 2024 | ¥32.53 | ¥32.88 | ¥31.65 | ¥32.15 | 34 191 580 |
May 22, 2024 | ¥32.53 | ¥32.70 | ¥31.93 | ¥32.08 | 26 729 164 |
May 21, 2024 | ¥32.53 | ¥32.87 | ¥32.24 | ¥32.57 | 29 730 043 |
May 20, 2024 | ¥32.53 | ¥32.80 | ¥31.36 | ¥32.55 | 35 699 372 |
May 17, 2024 | ¥31.90 | ¥32.71 | ¥31.63 | ¥32.41 | 39 971 990 |
May 16, 2024 | ¥31.90 | ¥33.48 | ¥31.90 | ¥32.88 | 54 366 678 |
May 15, 2024 | ¥31.90 | ¥32.66 | ¥31.10 | ¥31.86 | 38 450 962 |
May 14, 2024 | ¥31.90 | ¥32.77 | ¥31.29 | ¥31.38 | 37 925 282 |
May 13, 2024 | ¥31.90 | ¥32.27 | ¥31.31 | ¥31.86 | 34 947 191 |
May 10, 2024 | ¥32.16 | ¥32.16 | ¥30.91 | ¥31.39 | 36 423 129 |
May 09, 2024 | ¥33.52 | ¥33.52 | ¥31.51 | ¥32.14 | 36 414 180 |
May 08, 2024 | ¥33.52 | ¥33.52 | ¥32.00 | ¥32.39 | 32 238 411 |
May 07, 2024 | ¥33.52 | ¥33.95 | ¥32.15 | ¥32.58 | 47 325 051 |
May 06, 2024 | ¥33.52 | ¥34.39 | ¥33.02 | ¥33.10 | 46 462 993 |
Apr 30, 2024 | ¥31.98 | ¥34.66 | ¥31.98 | ¥33.50 | 50 346 083 |
Apr 29, 2024 | ¥31.98 | ¥34.22 | ¥31.98 | ¥33.53 | 48 812 439 |
Apr 26, 2024 | ¥30.65 | ¥33.89 | ¥30.65 | ¥33.16 | 73 031 945 |
Apr 25, 2024 | ¥30.65 | ¥31.37 | ¥30.65 | ¥31.11 | 38 383 473 |
Apr 24, 2024 | ¥30.65 | ¥31.58 | ¥29.14 | ¥31.44 | 69 064 279 |
Apr 23, 2024 | ¥30.65 | ¥30.65 | ¥29.22 | ¥29.55 | 51 557 207 |
Apr 22, 2024 | ¥30.65 | ¥30.65 | ¥26.97 | ¥28.71 | 63 800 603 |
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.
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 002463.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002463.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.
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.
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 002463.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.