SZCE:002501
Jilin Liyuan Precision Manufactrg Co Ltd Stock Price (Quote)
¥1.17
+0 (+0%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥1.03 | ¥1.22 | Friday, 17th May 2024 002501.SZ stock ended at ¥1.17. During the day the stock fluctuated 2.61% from a day low at ¥1.15 to a day high of ¥1.18. |
90 days | ¥1.01 | ¥1.30 | |
52 weeks | ¥0.88 | ¥1.82 |
Date | Open | High | Low | Close | Volume |
Jul 21, 2023 | ¥1.48 | ¥1.54 | ¥1.47 | ¥1.53 | 34 117 801 |
Jul 20, 2023 | ¥1.46 | ¥1.51 | ¥1.45 | ¥1.48 | 20 776 476 |
Jul 19, 2023 | ¥1.47 | ¥1.48 | ¥1.45 | ¥1.46 | 6 958 900 |
Jul 18, 2023 | ¥1.46 | ¥1.49 | ¥1.44 | ¥1.47 | 13 598 586 |
Jul 17, 2023 | ¥1.48 | ¥1.49 | ¥1.45 | ¥1.46 | 7 368 600 |
Jul 14, 2023 | ¥1.49 | ¥1.50 | ¥1.47 | ¥1.48 | 9 678 900 |
Jul 13, 2023 | ¥1.49 | ¥1.50 | ¥1.48 | ¥1.50 | 6 329 762 |
Jul 12, 2023 | ¥1.48 | ¥1.51 | ¥1.48 | ¥1.48 | 14 492 900 |
Jul 11, 2023 | ¥1.49 | ¥1.50 | ¥1.47 | ¥1.49 | 11 847 402 |
Jul 10, 2023 | ¥1.51 | ¥1.52 | ¥1.48 | ¥1.49 | 15 485 900 |
Jul 07, 2023 | ¥1.50 | ¥1.53 | ¥1.49 | ¥1.51 | 14 583 000 |
Jul 06, 2023 | ¥1.50 | ¥1.51 | ¥1.48 | ¥1.50 | 12 540 100 |
Jul 05, 2023 | ¥1.49 | ¥1.54 | ¥1.47 | ¥1.50 | 18 753 200 |
Jul 04, 2023 | ¥1.48 | ¥1.49 | ¥1.47 | ¥1.48 | 11 340 326 |
Jul 03, 2023 | ¥1.46 | ¥1.52 | ¥1.45 | ¥1.47 | 37 374 834 |
Jun 30, 2023 | ¥1.43 | ¥1.47 | ¥1.42 | ¥1.45 | 11 883 499 |
Jun 29, 2023 | ¥1.45 | ¥1.45 | ¥1.42 | ¥1.43 | 10 678 884 |
Jun 28, 2023 | ¥1.44 | ¥1.46 | ¥1.41 | ¥1.45 | 11 000 501 |
Jun 27, 2023 | ¥1.40 | ¥1.45 | ¥1.40 | ¥1.44 | 18 380 500 |
Jun 26, 2023 | ¥1.44 | ¥1.44 | ¥1.40 | ¥1.40 | 20 667 372 |
Jun 21, 2023 | ¥1.49 | ¥1.49 | ¥1.44 | ¥1.45 | 26 671 000 |
Jun 20, 2023 | ¥1.52 | ¥1.52 | ¥1.50 | ¥1.50 | 11 988 700 |
Jun 19, 2023 | ¥1.55 | ¥1.55 | ¥1.52 | ¥1.52 | 10 312 500 |
Jun 16, 2023 | ¥1.53 | ¥1.55 | ¥1.52 | ¥1.54 | 11 655 200 |
Jun 15, 2023 | ¥1.52 | ¥1.53 | ¥1.51 | ¥1.53 | 9 672 500 |
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 002501.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002501.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 002501.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.