SZCE:002427
Zhejiang Unifull Industrial Fibre Co Ltd Stock Price (Quote)
¥3.74
-0.0300 (-0.796%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥3.05 | ¥4.15 | Thursday, 16th May 2024 002427.SZ stock ended at ¥3.74. This is 0.796% less than the trading day before Wednesday, 15th May 2024. During the day the stock fluctuated 13.39% from a day low at ¥3.66 to a day high of ¥4.15. |
90 days | ¥2.99 | ¥4.28 | |
52 weeks | ¥2.67 | ¥8.55 |
Date | Open | High | Low | Close | Volume |
Aug 24, 2023 | ¥6.21 | ¥6.31 | ¥6.20 | ¥6.21 | 3 546 176 |
Aug 23, 2023 | ¥6.44 | ¥6.46 | ¥6.21 | ¥6.21 | 4 887 024 |
Aug 22, 2023 | ¥6.60 | ¥6.66 | ¥6.21 | ¥6.47 | 6 579 362 |
Aug 21, 2023 | ¥6.71 | ¥6.72 | ¥6.57 | ¥6.58 | 2 880 212 |
Aug 18, 2023 | ¥6.74 | ¥6.87 | ¥6.70 | ¥6.72 | 3 024 750 |
Aug 17, 2023 | ¥6.59 | ¥6.75 | ¥6.59 | ¥6.74 | 2 247 887 |
Aug 16, 2023 | ¥6.80 | ¥6.81 | ¥6.61 | ¥6.62 | 2 952 898 |
Aug 15, 2023 | ¥6.74 | ¥6.94 | ¥6.72 | ¥6.80 | 4 703 172 |
Aug 14, 2023 | ¥6.69 | ¥6.79 | ¥6.59 | ¥6.76 | 3 786 786 |
Aug 11, 2023 | ¥6.87 | ¥6.93 | ¥6.66 | ¥6.70 | 5 198 957 |
Aug 10, 2023 | ¥6.82 | ¥6.91 | ¥6.75 | ¥6.87 | 3 089 198 |
Aug 09, 2023 | ¥6.92 | ¥6.94 | ¥6.79 | ¥6.81 | 3 407 587 |
Aug 08, 2023 | ¥6.98 | ¥7.02 | ¥6.87 | ¥6.92 | 5 543 150 |
Aug 07, 2023 | ¥7.16 | ¥7.24 | ¥6.93 | ¥6.98 | 6 734 125 |
Aug 04, 2023 | ¥7.21 | ¥7.28 | ¥7.12 | ¥7.21 | 3 104 112 |
Aug 03, 2023 | ¥7.21 | ¥7.26 | ¥7.16 | ¥7.22 | 1 559 583 |
Aug 02, 2023 | ¥7.30 | ¥7.34 | ¥7.20 | ¥7.21 | 2 834 191 |
Aug 01, 2023 | ¥7.33 | ¥7.34 | ¥7.12 | ¥7.30 | 5 383 248 |
Jul 31, 2023 | ¥7.53 | ¥7.57 | ¥7.30 | ¥7.30 | 5 788 048 |
Jul 28, 2023 | ¥7.63 | ¥7.63 | ¥7.50 | ¥7.50 | 2 920 585 |
Jul 27, 2023 | ¥7.61 | ¥7.67 | ¥7.51 | ¥7.59 | 2 729 812 |
Jul 26, 2023 | ¥7.76 | ¥8.05 | ¥7.56 | ¥7.63 | 5 048 905 |
Jul 25, 2023 | ¥7.80 | ¥7.88 | ¥7.75 | ¥7.75 | 2 343 325 |
Jul 24, 2023 | ¥7.88 | ¥7.89 | ¥7.75 | ¥7.80 | 1 675 416 |
Jul 21, 2023 | ¥7.77 | ¥7.90 | ¥7.70 | ¥7.81 | 2 726 975 |
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 002427.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002427.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 002427.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.