SZCE:000078
Shenzhen Neptunus Bioengineering Co. Ltd Stock Price (Quote)
¥2.27
+0 (+0%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥2.15 | ¥2.59 | Friday, 24th May 2024 000078.SZ stock ended at ¥2.27. During the day the stock fluctuated 4.87% from a day low at ¥2.26 to a day high of ¥2.37. |
90 days | ¥2.09 | ¥2.73 | |
52 weeks | ¥2.01 | ¥3.51 |
Date | Open | High | Low | Close | Volume |
Sep 01, 2023 | ¥3.03 | ¥3.04 | ¥3.02 | ¥3.03 | 7 211 633 |
Aug 31, 2023 | ¥3.00 | ¥3.04 | ¥2.99 | ¥3.03 | 12 347 434 |
Aug 30, 2023 | ¥3.04 | ¥3.05 | ¥3.00 | ¥3.00 | 14 532 506 |
Aug 29, 2023 | ¥3.07 | ¥3.08 | ¥3.03 | ¥3.04 | 21 771 250 |
Aug 28, 2023 | ¥3.10 | ¥3.13 | ¥3.05 | ¥3.06 | 23 116 968 |
Aug 25, 2023 | ¥3.00 | ¥3.05 | ¥2.97 | ¥3.00 | 15 297 162 |
Aug 24, 2023 | ¥3.07 | ¥3.08 | ¥3.00 | ¥3.01 | 20 480 637 |
Aug 23, 2023 | ¥3.09 | ¥3.11 | ¥3.06 | ¥3.07 | 10 863 025 |
Aug 22, 2023 | ¥3.11 | ¥3.13 | ¥3.05 | ¥3.09 | 17 455 041 |
Aug 21, 2023 | ¥3.16 | ¥3.16 | ¥3.11 | ¥3.12 | 12 082 400 |
Aug 18, 2023 | ¥3.23 | ¥3.24 | ¥3.15 | ¥3.15 | 21 083 310 |
Aug 17, 2023 | ¥3.24 | ¥3.28 | ¥3.21 | ¥3.25 | 16 953 400 |
Aug 16, 2023 | ¥3.26 | ¥3.31 | ¥3.25 | ¥3.26 | 23 330 325 |
Aug 15, 2023 | ¥3.25 | ¥3.31 | ¥3.22 | ¥3.28 | 37 081 272 |
Aug 14, 2023 | ¥3.21 | ¥3.25 | ¥3.17 | ¥3.25 | 21 485 758 |
Aug 11, 2023 | ¥3.21 | ¥3.25 | ¥3.21 | ¥3.22 | 21 986 985 |
Aug 10, 2023 | ¥3.24 | ¥3.24 | ¥3.19 | ¥3.21 | 20 454 196 |
Aug 09, 2023 | ¥3.21 | ¥3.31 | ¥3.18 | ¥3.24 | 32 998 905 |
Aug 08, 2023 | ¥3.19 | ¥3.23 | ¥3.15 | ¥3.21 | 13 214 786 |
Aug 07, 2023 | ¥3.23 | ¥3.23 | ¥3.18 | ¥3.19 | 11 037 550 |
Aug 04, 2023 | ¥3.26 | ¥3.27 | ¥3.22 | ¥3.23 | 14 697 971 |
Aug 03, 2023 | ¥3.20 | ¥3.25 | ¥3.19 | ¥3.25 | 18 171 660 |
Aug 02, 2023 | ¥3.22 | ¥3.23 | ¥3.19 | ¥3.20 | 12 260 355 |
Aug 01, 2023 | ¥3.21 | ¥3.23 | ¥3.21 | ¥3.22 | 14 248 612 |
Jul 31, 2023 | ¥3.23 | ¥3.24 | ¥3.20 | ¥3.21 | 11 620 079 |
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 000078.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 000078.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 000078.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.