SZCE:300472
Delisted
Beijing New Universal Scie & Tech Co Ltd Stock Price (Quote)
¥11.78
+0 (+0%)
At Close: Apr 19, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥11.78 | ¥11.78 | Wednesday, 19th Apr 2023 300472.SZ stock ended at ¥11.78. During the day the stock fluctuated 0% from a day low at ¥11.78 to a day high of ¥11.78. |
90 days | ¥10.75 | ¥11.98 | |
52 weeks | ¥7.28 | ¥16.42 |
Date | Open | High | Low | Close | Volume |
Jun 10, 2021 | ¥9.92 | ¥10.16 | ¥9.87 | ¥10.09 | 4 658 300 |
Jun 09, 2021 | ¥9.86 | ¥10.02 | ¥9.73 | ¥9.95 | 2 120 240 |
Jun 08, 2021 | ¥9.92 | ¥9.92 | ¥9.92 | ¥9.92 | 0 |
Jun 07, 2021 | ¥9.92 | ¥9.92 | ¥9.92 | ¥9.92 | 0 |
Jun 04, 2021 | ¥9.98 | ¥10.11 | ¥9.84 | ¥9.92 | 3 842 300 |
Jun 03, 2021 | ¥9.86 | ¥10.05 | ¥9.85 | ¥10.02 | 3 560 746 |
Jun 02, 2021 | ¥10.10 | ¥10.11 | ¥9.81 | ¥9.85 | 4 000 066 |
Jun 01, 2021 | ¥10.04 | ¥10.11 | ¥9.86 | ¥10.04 | 2 860 700 |
May 31, 2021 | ¥9.99 | ¥10.07 | ¥9.83 | ¥9.95 | 5 273 820 |
May 28, 2021 | ¥10.14 | ¥10.46 | ¥10.01 | ¥10.03 | 6 956 121 |
May 27, 2021 | ¥10.13 | ¥10.13 | ¥10.13 | ¥10.13 | 0 |
May 26, 2021 | ¥10.09 | ¥10.25 | ¥10.04 | ¥10.12 | 4 152 900 |
May 25, 2021 | ¥10.18 | ¥10.39 | ¥10.00 | ¥10.13 | 5 361 560 |
May 24, 2021 | ¥10.18 | ¥10.18 | ¥9.94 | ¥10.06 | 3 687 600 |
May 21, 2021 | ¥10.16 | ¥10.30 | ¥10.01 | ¥10.20 | 3 005 200 |
May 20, 2021 | ¥10.26 | ¥10.33 | ¥10.15 | ¥10.13 | 3 147 740 |
May 19, 2021 | ¥10.46 | ¥10.59 | ¥10.26 | ¥10.29 | 3 617 780 |
May 18, 2021 | ¥10.18 | ¥10.77 | ¥10.12 | ¥10.58 | 6 935 260 |
May 17, 2021 | ¥10.86 | ¥10.86 | ¥10.86 | ¥10.86 | 0 |
May 14, 2021 | ¥10.86 | ¥10.86 | ¥10.86 | ¥10.86 | 0 |
May 13, 2021 | ¥10.86 | ¥10.86 | ¥10.86 | ¥10.86 | 0 |
May 12, 2021 | ¥10.80 | ¥10.82 | ¥10.51 | ¥10.62 | 4 263 840 |
May 11, 2021 | ¥11.14 | ¥11.16 | ¥10.74 | ¥10.86 | 5 945 020 |
May 07, 2021 | ¥10.93 | ¥11.09 | ¥10.63 | ¥10.77 | 4 771 760 |
May 06, 2021 | ¥10.91 | ¥11.42 | ¥10.88 | ¥10.96 | 5 697 800 |
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 300472.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 300472.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 300472.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.