SZCE:002126
Zhejiang Yinlun Machinery Co.,Ltd. Stock Price (Quote)
¥17.93
+0.300 (+1.70%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥17.06 | ¥20.59 | Friday, 31st May 2024 002126.SZ stock ended at ¥17.93. This is 1.70% more than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 3.92% from a day low at ¥17.60 to a day high of ¥18.29. |
90 days | ¥16.90 | ¥20.59 | |
52 weeks | ¥13.71 | ¥20.59 |
Historical Zhejiang Yinlun Machinery Co.,Ltd. prices
Date | Open | High | Low | Close | Volume |
May 23, 2023 | ¥13.34 | ¥13.60 | ¥13.22 | ¥13.26 | 13 482 188 |
May 22, 2023 | ¥12.97 | ¥13.42 | ¥12.86 | ¥13.34 | 19 044 172 |
May 19, 2023 | ¥13.11 | ¥13.13 | ¥12.88 | ¥12.99 | 12 054 865 |
May 18, 2023 | ¥13.08 | ¥13.34 | ¥13.06 | ¥13.13 | 17 406 080 |
May 17, 2023 | ¥12.99 | ¥13.18 | ¥12.97 | ¥13.06 | 8 553 632 |
May 16, 2023 | ¥13.11 | ¥13.22 | ¥12.96 | ¥13.03 | 12 770 565 |
May 15, 2023 | ¥13.02 | ¥13.18 | ¥12.90 | ¥13.12 | 14 880 792 |
May 12, 2023 | ¥13.25 | ¥13.45 | ¥12.99 | ¥13.00 | 14 605 933 |
May 11, 2023 | ¥13.12 | ¥13.52 | ¥13.02 | ¥13.32 | 27 387 156 |
May 10, 2023 | ¥12.50 | ¥13.43 | ¥12.31 | ¥13.14 | 39 863 119 |
May 09, 2023 | ¥12.73 | ¥12.78 | ¥12.47 | ¥12.48 | 21 101 803 |
May 08, 2023 | ¥12.55 | ¥13.26 | ¥12.50 | ¥12.72 | 29 165 450 |
May 05, 2023 | ¥13.30 | ¥13.33 | ¥12.48 | ¥12.49 | 45 131 880 |
May 04, 2023 | ¥13.45 | ¥13.76 | ¥13.15 | ¥13.38 | 31 901 399 |
Apr 28, 2023 | ¥14.01 | ¥14.09 | ¥13.43 | ¥13.53 | 40 351 150 |
Apr 27, 2023 | ¥13.67 | ¥14.42 | ¥13.55 | ¥14.12 | 40 709 618 |
Apr 26, 2023 | ¥13.30 | ¥14.08 | ¥13.19 | ¥13.84 | 34 146 299 |
Apr 25, 2023 | ¥13.87 | ¥13.92 | ¥13.00 | ¥13.25 | 30 125 424 |
Apr 24, 2023 | ¥13.28 | ¥14.18 | ¥13.27 | ¥13.87 | 37 670 233 |
Apr 21, 2023 | ¥13.67 | ¥14.04 | ¥13.23 | ¥13.28 | 28 511 736 |
Apr 20, 2023 | ¥13.87 | ¥13.88 | ¥13.50 | ¥13.70 | 21 165 365 |
Apr 19, 2023 | ¥14.46 | ¥14.50 | ¥13.86 | ¥13.90 | 34 000 507 |
Apr 18, 2023 | ¥14.29 | ¥14.91 | ¥14.21 | ¥14.55 | 36 417 191 |
Apr 17, 2023 | ¥14.45 | ¥14.93 | ¥14.15 | ¥14.20 | 50 698 054 |
Apr 14, 2023 | ¥13.82 | ¥14.55 | ¥13.70 | ¥14.55 | 47 044 882 |
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 002126.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002126.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 002126.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.