SZCE:000690
Guangdong Baolihua New Energy Stock Co., Stock Price (Quote)
¥5.17
-0.150 (-2.82%)
At Close: May 23, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥5.14 | ¥5.94 | Thursday, 23rd May 2024 000690.SZ stock ended at ¥5.17. This is 2.82% less than the trading day before Wednesday, 22nd May 2024. During the day the stock fluctuated 4.67% from a day low at ¥5.14 to a day high of ¥5.38. |
90 days | ¥4.74 | ¥5.94 | |
52 weeks | ¥4.28 | ¥7.95 |
Date | Open | High | Low | Close | Volume |
Jul 27, 2023 | ¥6.34 | ¥6.44 | ¥6.33 | ¥6.39 | 26 682 388 |
Jul 26, 2023 | ¥6.44 | ¥6.44 | ¥6.30 | ¥6.32 | 41 838 250 |
Jul 25, 2023 | ¥6.70 | ¥6.72 | ¥6.41 | ¥6.45 | 65 928 300 |
Jul 24, 2023 | ¥6.51 | ¥6.73 | ¥6.45 | ¥6.69 | 32 334 561 |
Jul 21, 2023 | ¥6.60 | ¥6.64 | ¥6.48 | ¥6.54 | 18 934 119 |
Jul 20, 2023 | ¥6.63 | ¥6.65 | ¥6.55 | ¥6.59 | 29 414 991 |
Jul 19, 2023 | ¥6.69 | ¥6.72 | ¥6.54 | ¥6.63 | 28 866 914 |
Jul 18, 2023 | ¥6.65 | ¥6.77 | ¥6.58 | ¥6.71 | 35 763 704 |
Jul 17, 2023 | ¥6.74 | ¥6.75 | ¥6.59 | ¥6.67 | 40 770 498 |
Jul 14, 2023 | ¥7.00 | ¥7.05 | ¥6.70 | ¥6.78 | 88 291 966 |
Jul 13, 2023 | ¥6.88 | ¥6.88 | ¥6.70 | ¥6.83 | 35 749 741 |
Jul 12, 2023 | ¥7.00 | ¥7.12 | ¥6.90 | ¥6.93 | 29 254 531 |
Jul 11, 2023 | ¥7.06 | ¥7.18 | ¥6.94 | ¥7.00 | 28 506 731 |
Jul 10, 2023 | ¥7.00 | ¥7.22 | ¥6.88 | ¥7.07 | 41 028 873 |
Jul 07, 2023 | ¥6.97 | ¥7.19 | ¥6.89 | ¥6.97 | 31 942 995 |
Jul 06, 2023 | ¥6.94 | ¥7.06 | ¥6.91 | ¥7.00 | 17 262 372 |
Jul 05, 2023 | ¥7.05 | ¥7.14 | ¥6.94 | ¥6.97 | 30 616 354 |
Jul 04, 2023 | ¥7.17 | ¥7.17 | ¥6.97 | ¥7.02 | 31 813 356 |
Jul 03, 2023 | ¥6.98 | ¥7.32 | ¥6.98 | ¥7.19 | 36 208 213 |
Jun 30, 2023 | ¥7.08 | ¥7.17 | ¥6.88 | ¥7.02 | 34 996 095 |
Jun 29, 2023 | ¥7.00 | ¥7.21 | ¥6.99 | ¥7.11 | 24 105 222 |
Jun 28, 2023 | ¥7.16 | ¥7.30 | ¥7.10 | ¥7.15 | 30 858 998 |
Jun 27, 2023 | ¥7.15 | ¥7.23 | ¥6.86 | ¥7.15 | 48 371 961 |
Jun 26, 2023 | ¥6.82 | ¥7.15 | ¥6.76 | ¥7.13 | 59 281 537 |
Jun 21, 2023 | ¥6.66 | ¥7.00 | ¥6.66 | ¥6.82 | 44 242 564 |
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.