SZCE:000546
Jinyuan EP Co Ltd Stock Price (Quote)
¥5.13
+0.0600 (+1.18%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥4.35 | ¥6.02 | Thursday, 16th May 2024 000546.SZ stock ended at ¥5.13. This is 1.18% more than the trading day before Wednesday, 15th May 2024. During the day the stock fluctuated 7.14% from a day low at ¥5.04 to a day high of ¥5.40. |
90 days | ¥4.35 | ¥6.59 | |
52 weeks | ¥4.35 | ¥9.79 |
Date | Open | High | Low | Close | Volume |
Nov 09, 2023 | ¥7.18 | ¥7.49 | ¥7.17 | ¥7.35 | 34 391 232 |
Nov 08, 2023 | ¥7.35 | ¥7.35 | ¥7.16 | ¥7.22 | 26 862 060 |
Nov 07, 2023 | ¥7.38 | ¥7.38 | ¥7.23 | ¥7.35 | 25 938 312 |
Nov 06, 2023 | ¥7.18 | ¥7.58 | ¥7.11 | ¥7.41 | 36 480 785 |
Nov 03, 2023 | ¥7.11 | ¥7.26 | ¥7.11 | ¥7.19 | 24 040 121 |
Nov 02, 2023 | ¥7.37 | ¥7.58 | ¥7.11 | ¥7.16 | 37 080 433 |
Nov 01, 2023 | ¥7.65 | ¥7.70 | ¥7.32 | ¥7.38 | 36 626 701 |
Oct 31, 2023 | ¥7.77 | ¥7.86 | ¥7.47 | ¥7.58 | 47 820 703 |
Oct 30, 2023 | ¥7.85 | ¥7.96 | ¥7.70 | ¥7.86 | 66 005 455 |
Oct 27, 2023 | ¥7.58 | ¥8.43 | ¥7.46 | ¥8.00 | 111 237 597 |
Oct 26, 2023 | ¥7.74 | ¥7.91 | ¥7.43 | ¥7.66 | 67 555 564 |
Oct 25, 2023 | ¥8.17 | ¥8.18 | ¥7.68 | ¥7.78 | 106 349 870 |
Oct 24, 2023 | ¥6.92 | ¥7.70 | ¥6.92 | ¥7.70 | 19 119 275 |
Oct 23, 2023 | ¥7.35 | ¥7.67 | ¥7.00 | ¥7.00 | 75 356 409 |
Oct 20, 2023 | ¥6.70 | ¥7.49 | ¥6.51 | ¥7.49 | 55 914 120 |
Oct 19, 2023 | ¥6.90 | ¥7.17 | ¥6.81 | ¥6.81 | 68 863 005 |
Oct 18, 2023 | ¥7.57 | ¥7.57 | ¥7.57 | ¥7.57 | 0 |
Oct 17, 2023 | ¥7.49 | ¥7.77 | ¥7.40 | ¥7.57 | 25 174 805 |
Oct 16, 2023 | ¥7.48 | ¥7.59 | ¥7.35 | ¥7.40 | 15 449 900 |
Oct 13, 2023 | ¥7.46 | ¥7.64 | ¥7.43 | ¥7.57 | 16 970 700 |
Oct 12, 2023 | ¥7.24 | ¥7.58 | ¥7.16 | ¥7.53 | 26 220 500 |
Oct 11, 2023 | ¥7.27 | ¥7.31 | ¥7.21 | ¥7.26 | 10 568 200 |
Oct 10, 2023 | ¥7.16 | ¥7.32 | ¥7.10 | ¥7.31 | 16 423 690 |
Oct 09, 2023 | ¥7.06 | ¥7.14 | ¥7.03 | ¥7.09 | 10 225 160 |
Oct 06, 2023 | ¥7.10 | ¥7.10 | ¥7.10 | ¥7.10 | 0 |
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 000546.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 000546.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 000546.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.