SZCE:300167
Shenzhen Dvision Co Ltd Stock Price (Quote)
¥1.76
-0.0300 (-1.68%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥1.22 | ¥1.95 | Friday, 17th May 2024 300167.SZ stock ended at ¥1.76. This is 1.68% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 6.47% from a day low at ¥1.70 to a day high of ¥1.81. |
90 days | ¥1.22 | ¥2.64 | |
52 weeks | ¥1.22 | ¥4.00 |
Date | Open | High | Low | Close | Volume |
Jul 11, 2022 | ¥5.13 | ¥5.19 | ¥5.08 | ¥5.13 | 6 755 400 |
Jul 08, 2022 | ¥5.01 | ¥5.23 | ¥5.01 | ¥5.12 | 10 983 822 |
Jul 07, 2022 | ¥4.92 | ¥5.04 | ¥4.92 | ¥5.03 | 5 487 000 |
Jul 06, 2022 | ¥5.00 | ¥5.06 | ¥4.93 | ¥4.97 | 11 809 400 |
Jul 05, 2022 | ¥5.16 | ¥5.18 | ¥4.96 | ¥5.04 | 16 056 675 |
Jul 04, 2022 | ¥5.13 | ¥5.20 | ¥5.11 | ¥5.18 | 6 445 930 |
Jul 01, 2022 | ¥5.22 | ¥5.25 | ¥5.06 | ¥5.17 | 9 233 081 |
Jun 30, 2022 | ¥5.33 | ¥5.38 | ¥5.15 | ¥5.22 | 13 579 800 |
Jun 29, 2022 | ¥5.30 | ¥5.40 | ¥5.18 | ¥5.33 | 15 136 899 |
Jun 28, 2022 | ¥5.24 | ¥5.29 | ¥5.10 | ¥5.28 | 8 982 000 |
Jun 27, 2022 | ¥5.17 | ¥5.23 | ¥5.14 | ¥5.22 | 9 066 700 |
Jun 24, 2022 | ¥5.27 | ¥5.38 | ¥5.15 | ¥5.22 | 11 147 700 |
Jun 23, 2022 | ¥5.05 | ¥5.22 | ¥4.99 | ¥5.17 | 6 457 100 |
Jun 22, 2022 | ¥5.17 | ¥5.26 | ¥5.05 | ¥5.05 | 9 904 800 |
Jun 21, 2022 | ¥5.07 | ¥5.31 | ¥5.03 | ¥5.21 | 23 955 932 |
Jun 20, 2022 | ¥5.01 | ¥5.09 | ¥4.98 | ¥5.06 | 10 650 800 |
Jun 17, 2022 | ¥5.14 | ¥5.17 | ¥5.00 | ¥5.04 | 17 951 800 |
Jun 16, 2022 | ¥4.94 | ¥5.37 | ¥4.92 | ¥5.26 | 26 691 099 |
Jun 15, 2022 | ¥5.00 | ¥5.05 | ¥4.93 | ¥4.94 | 21 574 001 |
Jun 14, 2022 | ¥5.07 | ¥5.19 | ¥4.85 | ¥5.03 | 21 867 100 |
Jun 13, 2022 | ¥5.11 | ¥5.23 | ¥5.00 | ¥5.18 | 24 123 132 |
Jun 10, 2022 | ¥4.68 | ¥5.38 | ¥4.66 | ¥5.11 | 37 771 107 |
Jun 09, 2022 | ¥4.81 | ¥4.83 | ¥4.62 | ¥4.66 | 15 886 200 |
Jun 08, 2022 | ¥4.80 | ¥4.91 | ¥4.68 | ¥4.81 | 18 454 800 |
Jun 07, 2022 | ¥4.82 | ¥4.85 | ¥4.70 | ¥4.80 | 12 808 700 |
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 300167.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 300167.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 300167.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.