SZCE:300351
Zhejiang Yonggui Electric Equpmnt Co Ltd Stock Price (Quote)
¥14.80
+0.390 (+2.71%)
At Close: Jun 28, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥14.27 | ¥17.45 | Friday, 28th Jun 2024 300351.SZ stock ended at ¥14.80. This is 2.71% more than the trading day before Thursday, 27th Jun 2024. During the day the stock fluctuated 7.89% from a day low at ¥14.32 to a day high of ¥15.45. |
90 days | ¥14.27 | ¥19.45 | |
52 weeks | ¥11.40 | ¥27.10 |
Historical Zhejiang Yonggui Electric Equpmnt Co Ltd prices
Date | Open | High | Low | Close | Volume |
Jun 28, 2024 | ¥15.45 | ¥15.45 | ¥14.32 | ¥14.80 | 8 333 603 |
Jun 27, 2024 | ¥15.45 | ¥15.45 | ¥14.41 | ¥14.41 | 6 535 522 |
Jun 26, 2024 | ¥15.45 | ¥15.45 | ¥14.27 | ¥14.83 | 6 912 900 |
Jun 25, 2024 | ¥15.45 | ¥15.45 | ¥14.30 | ¥14.39 | 7 397 349 |
Jun 24, 2024 | ¥15.45 | ¥15.45 | ¥14.46 | ¥14.53 | 9 862 519 |
Jun 21, 2024 | ¥15.58 | ¥15.58 | ¥15.23 | ¥15.31 | 5 388 761 |
Jun 20, 2024 | ¥15.58 | ¥16.02 | ¥15.40 | ¥15.42 | 8 415 750 |
Jun 18, 2024 | ¥15.58 | ¥16.36 | ¥15.58 | ¥16.32 | 6 839 000 |
Jun 17, 2024 | ¥15.58 | ¥16.32 | ¥15.58 | ¥16.07 | 6 953 761 |
Jun 14, 2024 | ¥15.50 | ¥16.35 | ¥15.50 | ¥16.26 | 12 114 484 |
Jun 13, 2024 | ¥15.50 | ¥16.06 | ¥15.50 | ¥15.78 | 6 645 400 |
Jun 12, 2024 | ¥15.50 | ¥16.02 | ¥15.50 | ¥15.93 | 6 183 492 |
Jun 11, 2024 | ¥15.50 | ¥15.80 | ¥15.20 | ¥15.77 | 6 691 687 |
Jun 07, 2024 | ¥16.28 | ¥16.28 | ¥15.20 | ¥15.60 | 8 914 300 |
Jun 06, 2024 | ¥16.28 | ¥16.28 | ¥15.16 | ¥15.35 | 12 830 100 |
Jun 05, 2024 | ¥16.28 | ¥16.40 | ¥15.97 | ¥15.99 | 8 078 474 |
Jun 04, 2024 | ¥16.28 | ¥16.77 | ¥16.17 | ¥16.43 | 8 916 149 |
Jun 03, 2024 | ¥16.28 | ¥16.93 | ¥16.28 | ¥16.79 | 9 873 387 |
May 31, 2024 | ¥16.28 | ¥16.96 | ¥16.28 | ¥16.66 | 12 636 200 |
May 30, 2024 | ¥17.45 | ¥17.45 | ¥16.17 | ¥16.20 | 6 928 100 |
May 29, 2024 | ¥17.45 | ¥17.45 | ¥16.15 | ¥16.39 | 8 499 199 |
May 28, 2024 | ¥17.45 | ¥17.45 | ¥16.11 | ¥16.20 | 14 778 127 |
May 24, 2024 | ¥17.91 | ¥18.17 | ¥17.13 | ¥17.77 | 23 053 901 |
May 23, 2024 | ¥17.91 | ¥17.91 | ¥17.15 | ¥17.49 | 14 537 992 |
May 22, 2024 | ¥17.91 | ¥17.91 | ¥16.75 | ¥17.28 | 13 542 553 |
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 300351.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 300351.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 300351.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.