SZCE:000638
Vanfund Urban Investment and Dev Co Ltd Stock Price (Quote)
¥4.34
+0.0300 (+0.696%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥3.70 | ¥5.17 | Friday, 17th May 2024 000638.SZ stock ended at ¥4.34. This is 0.696% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 4.00% from a day low at ¥4.25 to a day high of ¥4.42. |
90 days | ¥3.65 | ¥6.20 | |
52 weeks | ¥3.22 | ¥10.24 |
Date | Open | High | Low | Close | Volume |
Mar 01, 2024 | ¥4.99 | ¥5.10 | ¥4.92 | ¥5.05 | 23 517 699 |
Feb 29, 2024 | ¥4.60 | ¥4.92 | ¥4.59 | ¥4.89 | 27 767 125 |
Feb 28, 2024 | ¥5.26 | ¥5.43 | ¥4.69 | ¥4.69 | 42 895 381 |
Feb 27, 2024 | ¥5.02 | ¥5.21 | ¥4.90 | ¥5.21 | 29 300 000 |
Feb 26, 2024 | ¥4.93 | ¥5.12 | ¥4.80 | ¥4.96 | 37 966 545 |
Feb 23, 2024 | ¥4.80 | ¥4.91 | ¥4.69 | ¥4.87 | 36 609 977 |
Feb 22, 2024 | ¥4.58 | ¥4.99 | ¥4.44 | ¥4.84 | 49 801 973 |
Feb 21, 2024 | ¥4.18 | ¥4.60 | ¥4.09 | ¥4.60 | 28 454 100 |
Feb 20, 2024 | ¥4.15 | ¥4.25 | ¥3.95 | ¥4.18 | 27 614 247 |
Feb 19, 2024 | ¥3.70 | ¥4.06 | ¥3.65 | ¥4.06 | 36 896 245 |
Feb 17, 2024 | ¥3.69 | ¥3.69 | ¥3.69 | ¥3.69 | 0 |
Feb 09, 2024 | ¥3.69 | ¥3.69 | ¥3.69 | ¥3.69 | 0 |
Feb 08, 2024 | ¥3.33 | ¥3.72 | ¥3.22 | ¥3.69 | 44 439 081 |
Feb 07, 2024 | ¥4.01 | ¥4.03 | ¥3.58 | ¥3.58 | 36 426 700 |
Feb 06, 2024 | ¥3.99 | ¥4.22 | ¥3.94 | ¥3.98 | 32 560 419 |
Feb 05, 2024 | ¥4.86 | ¥4.94 | ¥4.38 | ¥4.38 | 14 884 221 |
Feb 02, 2024 | ¥5.25 | ¥5.32 | ¥4.68 | ¥4.87 | 23 141 200 |
Feb 01, 2024 | ¥5.35 | ¥5.51 | ¥5.18 | ¥5.20 | 20 012 643 |
Jan 31, 2024 | ¥5.89 | ¥5.89 | ¥5.30 | ¥5.38 | 24 898 400 |
Jan 30, 2024 | ¥6.12 | ¥6.16 | ¥5.85 | ¥5.86 | 19 192 000 |
Jan 29, 2024 | ¥6.55 | ¥6.69 | ¥6.07 | ¥6.10 | 28 228 500 |
Jan 26, 2024 | ¥6.55 | ¥6.80 | ¥6.52 | ¥6.55 | 32 810 891 |
Jan 25, 2024 | ¥6.50 | ¥6.58 | ¥6.30 | ¥6.51 | 38 972 604 |
Jan 24, 2024 | ¥6.11 | ¥6.63 | ¥6.08 | ¥6.44 | 61 566 306 |
Jan 23, 2024 | ¥6.39 | ¥6.44 | ¥6.07 | ¥6.20 | 62 598 815 |
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 000638.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 000638.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 000638.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.