SZCE:000690
Guangdong Baolihua New Energy Stock Co., Stock Price (Quote)
¥5.35
-0.0300 (-0.558%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥5.27 | ¥5.94 | Friday, 17th May 2024 000690.SZ stock ended at ¥5.35. This is 0.558% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 7.40% from a day low at ¥5.27 to a day high of ¥5.66. |
90 days | ¥4.74 | ¥5.94 | |
52 weeks | ¥4.28 | ¥7.95 |
Date | Open | High | Low | Close | Volume |
Dec 15, 2023 | ¥4.58 | ¥4.62 | ¥4.52 | ¥4.52 | 21 666 500 |
Dec 14, 2023 | ¥4.58 | ¥4.62 | ¥4.55 | ¥4.58 | 20 075 215 |
Dec 13, 2023 | ¥4.59 | ¥4.61 | ¥4.56 | ¥4.56 | 22 241 311 |
Dec 12, 2023 | ¥4.55 | ¥4.61 | ¥4.54 | ¥4.58 | 22 519 210 |
Dec 11, 2023 | ¥4.46 | ¥4.57 | ¥4.42 | ¥4.57 | 41 530 510 |
Dec 08, 2023 | ¥4.46 | ¥4.54 | ¥4.46 | ¥4.46 | 35 667 731 |
Dec 07, 2023 | ¥4.51 | ¥4.51 | ¥4.44 | ¥4.45 | 35 470 980 |
Dec 06, 2023 | ¥4.51 | ¥4.53 | ¥4.44 | ¥4.51 | 42 849 060 |
Dec 05, 2023 | ¥4.62 | ¥4.65 | ¥4.49 | ¥4.52 | 55 900 611 |
Dec 04, 2023 | ¥4.68 | ¥4.69 | ¥4.62 | ¥4.63 | 28 578 044 |
Dec 01, 2023 | ¥4.62 | ¥4.69 | ¥4.60 | ¥4.68 | 31 107 988 |
Nov 30, 2023 | ¥4.70 | ¥4.73 | ¥4.53 | ¥4.61 | 55 621 752 |
Nov 29, 2023 | ¥4.84 | ¥4.86 | ¥4.69 | ¥4.72 | 58 917 508 |
Nov 28, 2023 | ¥4.79 | ¥4.85 | ¥4.79 | ¥4.85 | 29 870 574 |
Nov 27, 2023 | ¥4.78 | ¥4.82 | ¥4.75 | ¥4.80 | 36 361 870 |
Nov 24, 2023 | ¥4.83 | ¥4.85 | ¥4.78 | ¥4.80 | 30 482 300 |
Nov 23, 2023 | ¥4.79 | ¥4.83 | ¥4.77 | ¥4.83 | 30 652 101 |
Nov 22, 2023 | ¥4.84 | ¥4.87 | ¥4.79 | ¥4.79 | 47 553 400 |
Nov 21, 2023 | ¥4.88 | ¥4.92 | ¥4.84 | ¥4.85 | 54 819 811 |
Nov 20, 2023 | ¥4.94 | ¥4.95 | ¥4.87 | ¥4.89 | 62 907 535 |
Nov 17, 2023 | ¥4.90 | ¥4.95 | ¥4.87 | ¥4.94 | 36 265 984 |
Nov 16, 2023 | ¥5.00 | ¥5.01 | ¥4.91 | ¥4.91 | 65 939 650 |
Nov 15, 2023 | ¥5.08 | ¥5.10 | ¥4.99 | ¥5.02 | 115 411 000 |
Nov 14, 2023 | ¥4.93 | ¥5.18 | ¥4.90 | ¥5.09 | 143 755 310 |
Nov 13, 2023 | ¥4.92 | ¥5.07 | ¥4.82 | ¥4.93 | 86 571 546 |
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 000690.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 000690.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 000690.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.