SZCE:300543
Delisted
Shenzhen Longood Intelligent Elec Co Ltd Stock Price (Quote)
¥9.10
+0 (+0%)
At Close: Apr 19, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥9.10 | ¥9.10 | Wednesday, 19th Apr 2023 300543.SZ stock ended at ¥9.10. During the day the stock fluctuated 0% from a day low at ¥9.10 to a day high of ¥9.10. |
90 days | ¥8.90 | ¥9.17 | |
52 weeks | ¥7.99 | ¥12.87 |
Date | Open | High | Low | Close | Volume |
May 13, 2022 | ¥8.80 | ¥8.95 | ¥8.67 | ¥8.85 | 3 435 830 |
May 12, 2022 | ¥8.73 | ¥8.93 | ¥8.63 | ¥8.82 | 3 281 902 |
May 11, 2022 | ¥8.81 | ¥9.06 | ¥8.77 | ¥8.80 | 2 750 310 |
May 10, 2022 | ¥8.55 | ¥8.82 | ¥8.49 | ¥8.82 | 2 021 336 |
May 09, 2022 | ¥8.75 | ¥8.81 | ¥8.57 | ¥8.69 | 1 567 834 |
May 06, 2022 | ¥8.54 | ¥8.71 | ¥8.42 | ¥8.62 | 1 993 833 |
May 05, 2022 | ¥8.59 | ¥8.82 | ¥8.47 | ¥8.70 | 1 988 607 |
Apr 29, 2022 | ¥8.35 | ¥8.64 | ¥8.21 | ¥8.58 | 4 128 874 |
Apr 28, 2022 | ¥8.36 | ¥8.56 | ¥8.06 | ¥8.19 | 4 044 047 |
Apr 27, 2022 | ¥8.09 | ¥8.54 | ¥7.99 | ¥8.52 | 5 984 294 |
Apr 26, 2022 | ¥8.84 | ¥8.93 | ¥8.32 | ¥8.34 | 2 378 583 |
Apr 25, 2022 | ¥9.43 | ¥9.78 | ¥8.80 | ¥8.80 | 3 312 071 |
Apr 22, 2022 | ¥9.91 | ¥9.91 | ¥9.68 | ¥9.90 | 1 021 200 |
Apr 21, 2022 | ¥10.14 | ¥10.19 | ¥9.84 | ¥9.91 | 1 996 751 |
Apr 20, 2022 | ¥10.14 | ¥10.30 | ¥10.04 | ¥10.12 | 1 607 332 |
Apr 19, 2022 | ¥10.11 | ¥10.25 | ¥10.06 | ¥10.14 | 986 160 |
Apr 18, 2022 | ¥9.96 | ¥10.14 | ¥9.76 | ¥10.11 | 1 360 625 |
Apr 15, 2022 | ¥10.17 | ¥10.24 | ¥9.91 | ¥9.96 | 2 355 527 |
Apr 14, 2022 | ¥10.32 | ¥10.35 | ¥10.23 | ¥10.27 | 682 710 |
Apr 13, 2022 | ¥10.40 | ¥10.46 | ¥10.11 | ¥10.21 | 1 637 404 |
Apr 12, 2022 | ¥10.38 | ¥10.53 | ¥10.08 | ¥10.48 | 2 886 779 |
Apr 11, 2022 | ¥10.86 | ¥10.86 | ¥10.20 | ¥10.32 | 2 923 320 |
Apr 08, 2022 | ¥11.18 | ¥11.21 | ¥10.77 | ¥10.86 | 4 986 410 |
Apr 07, 2022 | ¥11.53 | ¥11.54 | ¥11.18 | ¥11.19 | 3 771 630 |
Apr 06, 2022 | ¥11.47 | ¥11.70 | ¥11.47 | ¥11.55 | 2 156 604 |
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 300543.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 300543.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 300543.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.