SZCE:300239
Delisted
Baotou Dongbao Bio Tech Co Ltd Stock Price (Quote)
¥7.28
+0 (+0%)
At Close: Apr 19, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥7.28 | ¥7.28 | Wednesday, 19th Apr 2023 300239.SZ stock ended at ¥7.28. During the day the stock fluctuated 0% from a day low at ¥7.28 to a day high of ¥7.28. |
90 days | ¥7.13 | ¥7.34 | |
52 weeks | ¥6.00 | ¥9.39 |
Historical Baotou Dongbao Bio Tech Co Ltd prices
Date | Open | High | Low | Close | Volume |
Feb 25, 2022 | ¥6.04 | ¥6.20 | ¥6.04 | ¥6.11 | 8 235 100 |
Feb 24, 2022 | ¥6.16 | ¥6.23 | ¥5.93 | ¥6.02 | 10 421 243 |
Feb 23, 2022 | ¥6.11 | ¥6.22 | ¥6.07 | ¥6.19 | 9 307 957 |
Feb 22, 2022 | ¥6.08 | ¥6.14 | ¥6.03 | ¥6.08 | 8 117 900 |
Feb 21, 2022 | ¥6.04 | ¥6.13 | ¥6.00 | ¥6.12 | 7 805 600 |
Feb 18, 2022 | ¥5.90 | ¥6.04 | ¥5.86 | ¥6.03 | 5 758 208 |
Feb 17, 2022 | ¥6.05 | ¥6.08 | ¥5.95 | ¥5.96 | 7 504 722 |
Feb 16, 2022 | ¥6.03 | ¥6.07 | ¥5.99 | ¥6.03 | 5 072 908 |
Feb 15, 2022 | ¥6.00 | ¥6.03 | ¥5.94 | ¥5.99 | 7 328 530 |
Feb 14, 2022 | ¥5.96 | ¥6.10 | ¥5.94 | ¥5.98 | 7 117 602 |
Feb 11, 2022 | ¥6.08 | ¥6.13 | ¥5.94 | ¥5.96 | 9 891 800 |
Feb 10, 2022 | ¥6.12 | ¥6.20 | ¥6.07 | ¥6.12 | 9 173 108 |
Feb 09, 2022 | ¥6.09 | ¥6.18 | ¥6.06 | ¥6.16 | 9 456 820 |
Feb 08, 2022 | ¥5.94 | ¥6.08 | ¥5.90 | ¥6.07 | 9 775 300 |
Feb 07, 2022 | ¥6.00 | ¥6.06 | ¥5.91 | ¥5.91 | 9 760 900 |
Feb 05, 2022 | ¥5.91 | ¥5.91 | ¥5.91 | ¥5.91 | 0 |
Jan 28, 2022 | ¥5.80 | ¥5.98 | ¥5.71 | ¥5.95 | 16 532 600 |
Jan 27, 2022 | ¥5.95 | ¥5.98 | ¥5.73 | ¥5.75 | 11 432 000 |
Jan 26, 2022 | ¥5.90 | ¥5.98 | ¥5.84 | ¥5.89 | 10 446 275 |
Jan 25, 2022 | ¥6.16 | ¥6.23 | ¥5.90 | ¥5.90 | 14 915 104 |
Jan 24, 2022 | ¥6.32 | ¥6.37 | ¥6.17 | ¥6.18 | 10 980 300 |
Jan 21, 2022 | ¥6.47 | ¥6.54 | ¥6.29 | ¥6.30 | 16 219 106 |
Jan 20, 2022 | ¥6.88 | ¥6.92 | ¥6.45 | ¥6.48 | 21 253 722 |
Jan 19, 2022 | ¥6.74 | ¥6.91 | ¥6.56 | ¥6.84 | 20 783 906 |
Jan 18, 2022 | ¥7.17 | ¥7.18 | ¥6.64 | ¥6.75 | 32 104 192 |
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 300239.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 300239.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 300239.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.