Dong Yi Ri Sheng Home Decoratn Gp Co Ltd Stock Price (Quote)
¥3.44
-0.260 (-7.03%)
At Close: May 23, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥3.43 | ¥4.29 | Thursday, 23rd May 2024 002713.SZ stock ended at ¥3.44. This is 7.03% less than the trading day before Wednesday, 22nd May 2024. During the day the stock fluctuated 14.87% from a day low at ¥3.43 to a day high of ¥3.94. |
90 days | ¥3.43 | ¥7.22 | |
52 weeks | ¥3.43 | ¥9.85 |
Date | Open | High | Low | Close | Volume |
Nov 16, 2023 | ¥7.59 | ¥7.60 | ¥7.43 | ¥7.52 | 8 373 800 |
Nov 15, 2023 | ¥7.93 | ¥7.93 | ¥7.27 | ¥7.61 | 19 331 900 |
Nov 14, 2023 | ¥7.78 | ¥7.93 | ¥7.75 | ¥7.86 | 8 937 595 |
Nov 13, 2023 | ¥7.55 | ¥7.73 | ¥7.49 | ¥7.73 | 6 439 252 |
Nov 10, 2023 | ¥7.73 | ¥7.74 | ¥7.48 | ¥7.55 | 7 285 603 |
Nov 09, 2023 | ¥7.65 | ¥7.88 | ¥7.62 | ¥7.73 | 9 636 280 |
Nov 08, 2023 | ¥7.60 | ¥7.69 | ¥7.51 | ¥7.66 | 7 331 942 |
Nov 07, 2023 | ¥7.73 | ¥7.75 | ¥7.60 | ¥7.64 | 5 695 320 |
Nov 06, 2023 | ¥7.77 | ¥7.85 | ¥7.70 | ¥7.79 | 5 491 580 |
Nov 03, 2023 | ¥7.75 | ¥7.82 | ¥7.70 | ¥7.78 | 4 360 603 |
Nov 02, 2023 | ¥7.88 | ¥7.95 | ¥7.71 | ¥7.75 | 5 565 166 |
Nov 01, 2023 | ¥7.86 | ¥7.95 | ¥7.80 | ¥7.89 | 4 926 420 |
Oct 31, 2023 | ¥7.93 | ¥7.98 | ¥7.75 | ¥7.88 | 5 441 820 |
Oct 30, 2023 | ¥7.97 | ¥8.08 | ¥7.90 | ¥7.93 | 6 131 520 |
Oct 27, 2023 | ¥7.90 | ¥8.14 | ¥7.71 | ¥7.98 | 8 479 882 |
Oct 26, 2023 | ¥8.02 | ¥8.09 | ¥7.79 | ¥7.95 | 8 261 863 |
Oct 25, 2023 | ¥7.88 | ¥8.17 | ¥7.80 | ¥8.06 | 6 386 160 |
Oct 24, 2023 | ¥7.84 | ¥7.89 | ¥7.64 | ¥7.89 | 5 966 600 |
Oct 23, 2023 | ¥7.82 | ¥7.90 | ¥7.56 | ¥7.87 | 4 920 800 |
Oct 20, 2023 | ¥7.87 | ¥7.96 | ¥7.77 | ¥7.89 | 4 927 680 |
Oct 19, 2023 | ¥7.86 | ¥7.91 | ¥7.71 | ¥7.90 | 3 692 760 |
Oct 18, 2023 | ¥8.04 | ¥8.04 | ¥7.82 | ¥7.89 | 3 099 480 |
Oct 17, 2023 | ¥8.08 | ¥8.10 | ¥7.87 | ¥8.05 | 4 631 480 |
Oct 16, 2023 | ¥7.92 | ¥8.19 | ¥7.88 | ¥8.08 | 7 445 580 |
Oct 13, 2023 | ¥7.89 | ¥8.04 | ¥7.81 | ¥7.92 | 5 886 777 |
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 002713.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002713.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 002713.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.