SZCE:002730
Dianguang Explosion-proof Tchnlgy Co Ltd Stock Price (Quote)
¥7.59
+0.1000 (+1.34%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥6.46 | ¥8.40 | Friday, 17th May 2024 002730.SZ stock ended at ¥7.59. This is 1.34% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 3.49% from a day low at ¥7.46 to a day high of ¥7.72. |
90 days | ¥5.89 | ¥8.65 | |
52 weeks | ¥5.27 | ¥9.95 |
Date | Open | High | Low | Close | Volume |
Dec 15, 2023 | ¥9.48 | ¥9.48 | ¥9.32 | ¥9.39 | 3 664 265 |
Dec 14, 2023 | ¥9.46 | ¥9.64 | ¥9.42 | ¥9.45 | 6 157 040 |
Dec 13, 2023 | ¥9.60 | ¥9.80 | ¥9.15 | ¥9.44 | 8 644 700 |
Dec 12, 2023 | ¥9.45 | ¥9.50 | ¥9.36 | ¥9.45 | 2 546 400 |
Dec 11, 2023 | ¥9.21 | ¥9.45 | ¥9.14 | ¥9.42 | 4 822 700 |
Dec 08, 2023 | ¥9.46 | ¥9.60 | ¥9.30 | ¥9.34 | 4 025 800 |
Dec 07, 2023 | ¥9.55 | ¥9.65 | ¥9.45 | ¥9.55 | 3 792 900 |
Dec 06, 2023 | ¥9.45 | ¥9.68 | ¥9.35 | ¥9.55 | 4 203 990 |
Dec 05, 2023 | ¥9.56 | ¥9.60 | ¥9.45 | ¥9.46 | 2 828 200 |
Dec 04, 2023 | ¥9.54 | ¥9.63 | ¥9.53 | ¥9.55 | 2 761 760 |
Dec 01, 2023 | ¥9.58 | ¥9.62 | ¥9.47 | ¥9.51 | 2 802 701 |
Nov 30, 2023 | ¥9.58 | ¥9.67 | ¥9.46 | ¥9.62 | 3 774 300 |
Nov 29, 2023 | ¥9.60 | ¥9.70 | ¥9.59 | ¥9.62 | 2 963 000 |
Nov 28, 2023 | ¥9.49 | ¥9.66 | ¥9.42 | ¥9.61 | 3 478 475 |
Nov 27, 2023 | ¥9.38 | ¥9.53 | ¥9.37 | ¥9.49 | 4 321 700 |
Nov 24, 2023 | ¥9.48 | ¥9.56 | ¥9.33 | ¥9.38 | 4 009 100 |
Nov 23, 2023 | ¥9.35 | ¥9.54 | ¥9.35 | ¥9.53 | 2 917 200 |
Nov 22, 2023 | ¥9.50 | ¥9.54 | ¥9.40 | ¥9.40 | 3 964 836 |
Nov 21, 2023 | ¥9.64 | ¥9.69 | ¥9.48 | ¥9.49 | 6 021 311 |
Nov 20, 2023 | ¥9.45 | ¥9.77 | ¥9.43 | ¥9.70 | 8 346 600 |
Nov 17, 2023 | ¥9.26 | ¥9.60 | ¥9.26 | ¥9.50 | 7 165 103 |
Nov 16, 2023 | ¥9.35 | ¥9.42 | ¥9.29 | ¥9.32 | 5 488 562 |
Nov 15, 2023 | ¥9.44 | ¥9.46 | ¥9.31 | ¥9.35 | 4 798 626 |
Nov 14, 2023 | ¥9.30 | ¥9.46 | ¥9.25 | ¥9.38 | 9 287 611 |
Nov 13, 2023 | ¥9.28 | ¥9.65 | ¥9.19 | ¥9.44 | 9 136 762 |
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 002730.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002730.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 002730.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.