SZCE:002183
Eternal Asia Supply Chain Management LTD Stock Price (Quote)
¥3.58
+0.0600 (+1.70%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥3.35 | ¥3.73 | Friday, 17th May 2024 002183.SZ stock ended at ¥3.58. This is 1.70% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 3.42% from a day low at ¥3.51 to a day high of ¥3.63. |
90 days | ¥3.34 | ¥4.13 | |
52 weeks | ¥3.13 | ¥5.41 |
Date | Open | High | Low | Close | Volume |
Mar 01, 2024 | ¥3.99 | ¥4.03 | ¥3.92 | ¥3.96 | 32 968 000 |
Feb 29, 2024 | ¥3.85 | ¥4.00 | ¥3.82 | ¥4.00 | 34 198 042 |
Feb 28, 2024 | ¥4.05 | ¥4.13 | ¥3.85 | ¥3.86 | 54 997 665 |
Feb 27, 2024 | ¥3.98 | ¥4.12 | ¥3.97 | ¥4.08 | 39 499 900 |
Feb 26, 2024 | ¥3.99 | ¥4.05 | ¥3.93 | ¥3.97 | 41 795 990 |
Feb 23, 2024 | ¥3.84 | ¥3.90 | ¥3.80 | ¥3.90 | 28 669 739 |
Feb 22, 2024 | ¥3.80 | ¥3.85 | ¥3.77 | ¥3.84 | 22 953 700 |
Feb 21, 2024 | ¥3.72 | ¥3.89 | ¥3.68 | ¥3.80 | 37 634 715 |
Feb 20, 2024 | ¥3.80 | ¥3.80 | ¥3.68 | ¥3.75 | 24 957 300 |
Feb 19, 2024 | ¥3.85 | ¥3.87 | ¥3.71 | ¥3.77 | 34 838 533 |
Feb 17, 2024 | ¥3.80 | ¥3.80 | ¥3.80 | ¥3.80 | 0 |
Feb 09, 2024 | ¥3.80 | ¥3.80 | ¥3.80 | ¥3.80 | 0 |
Feb 08, 2024 | ¥3.69 | ¥3.89 | ¥3.67 | ¥3.80 | 44 250 188 |
Feb 07, 2024 | ¥3.51 | ¥3.72 | ¥3.50 | ¥3.66 | 43 230 828 |
Feb 06, 2024 | ¥3.17 | ¥3.52 | ¥3.13 | ¥3.50 | 49 144 337 |
Feb 05, 2024 | ¥3.52 | ¥3.52 | ¥3.19 | ¥3.20 | 48 253 301 |
Feb 02, 2024 | ¥3.66 | ¥3.78 | ¥3.41 | ¥3.54 | 36 181 963 |
Feb 01, 2024 | ¥3.66 | ¥3.79 | ¥3.59 | ¥3.67 | 30 339 544 |
Jan 31, 2024 | ¥3.93 | ¥4.04 | ¥3.69 | ¥3.71 | 55 155 504 |
Jan 30, 2024 | ¥4.18 | ¥4.23 | ¥4.01 | ¥4.03 | 20 181 361 |
Jan 29, 2024 | ¥4.26 | ¥4.27 | ¥4.14 | ¥4.16 | 16 183 040 |
Jan 26, 2024 | ¥4.19 | ¥4.35 | ¥4.18 | ¥4.25 | 22 526 161 |
Jan 25, 2024 | ¥4.06 | ¥4.21 | ¥4.04 | ¥4.21 | 23 465 904 |
Jan 24, 2024 | ¥3.96 | ¥4.06 | ¥3.88 | ¥4.06 | 20 049 862 |
Jan 23, 2024 | ¥3.90 | ¥3.96 | ¥3.83 | ¥3.93 | 16 686 810 |
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 002183.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002183.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 002183.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.