SZCE:300105
Delisted
Yantai Longyuan Power Technology Co.,Ltd Stock Price (Quote)
¥7.84
+0 (+0%)
At Close: Apr 19, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥7.84 | ¥7.84 | Wednesday, 19th Apr 2023 300105.SZ stock ended at ¥7.84. During the day the stock fluctuated 0% from a day low at ¥7.84 to a day high of ¥7.84. |
90 days | ¥7.71 | ¥7.93 | |
52 weeks | ¥4.11 | ¥8.99 |
Date | Open | High | Low | Close | Volume |
Jun 20, 2022 | ¥5.80 | ¥6.15 | ¥5.79 | ¥6.07 | 17 554 400 |
Jun 17, 2022 | ¥5.74 | ¥5.94 | ¥5.73 | ¥5.79 | 10 060 088 |
Jun 16, 2022 | ¥5.69 | ¥5.88 | ¥5.64 | ¥5.79 | 15 825 502 |
Jun 15, 2022 | ¥5.84 | ¥5.88 | ¥5.62 | ¥5.63 | 16 324 986 |
Jun 14, 2022 | ¥5.73 | ¥5.99 | ¥5.59 | ¥5.83 | 21 659 388 |
Jun 13, 2022 | ¥5.81 | ¥5.89 | ¥5.67 | ¥5.80 | 24 754 797 |
Jun 10, 2022 | ¥5.86 | ¥6.29 | ¥5.73 | ¥5.96 | 35 115 304 |
Jun 09, 2022 | ¥6.63 | ¥7.10 | ¥6.08 | ¥6.11 | 75 445 905 |
Jun 08, 2022 | ¥5.84 | ¥6.34 | ¥5.77 | ¥6.06 | 46 145 477 |
Jun 07, 2022 | ¥5.70 | ¥5.84 | ¥5.62 | ¥5.82 | 18 726 000 |
Jun 06, 2022 | ¥5.84 | ¥5.84 | ¥5.59 | ¥5.74 | 20 400 893 |
Jun 02, 2022 | ¥5.72 | ¥5.91 | ¥5.66 | ¥5.87 | 21 775 793 |
Jun 01, 2022 | ¥5.67 | ¥5.76 | ¥5.65 | ¥5.67 | 14 398 600 |
May 31, 2022 | ¥5.72 | ¥5.85 | ¥5.65 | ¥5.69 | 22 898 400 |
May 30, 2022 | ¥5.65 | ¥5.87 | ¥5.45 | ¥5.78 | 43 512 271 |
May 27, 2022 | ¥5.21 | ¥5.58 | ¥5.20 | ¥5.46 | 24 886 782 |
May 26, 2022 | ¥5.18 | ¥5.30 | ¥5.13 | ¥5.18 | 16 135 764 |
May 25, 2022 | ¥4.87 | ¥5.17 | ¥4.87 | ¥5.16 | 15 590 522 |
May 24, 2022 | ¥5.15 | ¥5.16 | ¥4.85 | ¥4.86 | 11 647 700 |
May 23, 2022 | ¥5.07 | ¥5.17 | ¥5.07 | ¥5.14 | 9 599 000 |
May 20, 2022 | ¥4.95 | ¥5.14 | ¥4.95 | ¥5.08 | 13 533 900 |
May 19, 2022 | ¥4.88 | ¥4.96 | ¥4.82 | ¥4.93 | 7 538 900 |
May 18, 2022 | ¥4.66 | ¥4.98 | ¥4.62 | ¥4.94 | 14 617 572 |
May 17, 2022 | ¥4.68 | ¥4.69 | ¥4.61 | ¥4.65 | 5 615 500 |
May 16, 2022 | ¥4.66 | ¥4.72 | ¥4.62 | ¥4.66 | 6 032 882 |
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 300105.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 300105.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 300105.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.