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 |
Jun 13, 2023 | ¥8.20 | ¥8.22 | ¥8.08 | ¥8.10 | 8 493 942 |
Jun 12, 2023 | ¥8.07 | ¥8.25 | ¥8.00 | ¥8.20 | 12 552 366 |
Jun 09, 2023 | ¥8.24 | ¥8.55 | ¥8.09 | ¥8.10 | 20 920 436 |
Jun 08, 2023 | ¥8.21 | ¥8.83 | ¥8.17 | ¥8.33 | 29 663 915 |
Jun 07, 2023 | ¥8.38 | ¥8.39 | ¥8.16 | ¥8.20 | 7 791 400 |
Jun 06, 2023 | ¥8.59 | ¥8.59 | ¥8.30 | ¥8.30 | 10 733 693 |
Jun 05, 2023 | ¥8.34 | ¥8.61 | ¥8.28 | ¥8.53 | 16 443 100 |
Jun 02, 2023 | ¥7.85 | ¥8.51 | ¥7.84 | ¥8.36 | 21 470 976 |
Jun 01, 2023 | ¥8.00 | ¥8.04 | ¥7.80 | ¥7.85 | 10 722 201 |
May 31, 2023 | ¥8.15 | ¥8.15 | ¥7.94 | ¥7.96 | 8 628 862 |
May 30, 2023 | ¥8.15 | ¥8.22 | ¥7.96 | ¥8.14 | 10 034 859 |
May 29, 2023 | ¥8.41 | ¥8.44 | ¥8.16 | ¥8.18 | 9 477 500 |
May 26, 2023 | ¥8.50 | ¥8.62 | ¥8.27 | ¥8.38 | 8 860 055 |
May 25, 2023 | ¥8.53 | ¥8.63 | ¥8.41 | ¥8.51 | 9 281 480 |
May 24, 2023 | ¥8.66 | ¥8.70 | ¥8.52 | ¥8.56 | 9 401 149 |
May 23, 2023 | ¥8.68 | ¥8.79 | ¥8.61 | ¥8.68 | 9 082 312 |
May 22, 2023 | ¥8.66 | ¥8.75 | ¥8.60 | ¥8.68 | 7 486 834 |
May 19, 2023 | ¥8.72 | ¥8.73 | ¥8.57 | ¥8.70 | 8 249 400 |
May 18, 2023 | ¥8.83 | ¥8.86 | ¥8.64 | ¥8.70 | 11 511 272 |
May 17, 2023 | ¥8.67 | ¥8.90 | ¥8.65 | ¥8.83 | 11 522 387 |
May 16, 2023 | ¥8.88 | ¥8.91 | ¥8.65 | ¥8.70 | 14 628 113 |
May 15, 2023 | ¥8.60 | ¥8.89 | ¥8.57 | ¥8.88 | 19 682 785 |
May 12, 2023 | ¥8.87 | ¥9.00 | ¥8.58 | ¥8.59 | 12 105 204 |
May 11, 2023 | ¥8.89 | ¥8.91 | ¥8.72 | ¥8.83 | 8 421 563 |
May 10, 2023 | ¥8.65 | ¥8.87 | ¥8.57 | ¥8.76 | 12 713 460 |
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.