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 |
Jan 29, 2024 | ¥2.96 | ¥2.98 | ¥2.88 | ¥2.89 | 15 799 300 |
Jan 26, 2024 | ¥2.96 | ¥3.01 | ¥2.94 | ¥2.95 | 17 925 757 |
Jan 25, 2024 | ¥2.87 | ¥2.98 | ¥2.87 | ¥2.96 | 19 222 393 |
Jan 24, 2024 | ¥2.86 | ¥2.90 | ¥2.79 | ¥2.90 | 16 904 893 |
Jan 23, 2024 | ¥2.82 | ¥2.86 | ¥2.76 | ¥2.85 | 16 172 443 |
Jan 22, 2024 | ¥2.99 | ¥3.00 | ¥2.77 | ¥2.82 | 26 475 525 |
Jan 19, 2024 | ¥2.99 | ¥3.02 | ¥2.96 | ¥2.98 | 13 698 100 |
Jan 18, 2024 | ¥3.03 | ¥3.04 | ¥2.91 | ¥3.00 | 29 876 879 |
Jan 17, 2024 | ¥3.09 | ¥3.11 | ¥3.02 | ¥3.03 | 20 392 196 |
Jan 16, 2024 | ¥3.17 | ¥3.17 | ¥3.05 | ¥3.10 | 44 262 178 |
Jan 15, 2024 | ¥3.25 | ¥3.29 | ¥3.17 | ¥3.18 | 35 351 939 |
Jan 12, 2024 | ¥3.30 | ¥3.40 | ¥3.21 | ¥3.22 | 51 226 037 |
Jan 11, 2024 | ¥3.20 | ¥3.28 | ¥3.18 | ¥3.28 | 40 233 086 |
Jan 10, 2024 | ¥3.21 | ¥3.24 | ¥3.17 | ¥3.22 | 27 794 624 |
Jan 09, 2024 | ¥3.27 | ¥3.30 | ¥3.19 | ¥3.23 | 45 121 963 |
Jan 08, 2024 | ¥3.28 | ¥3.35 | ¥3.23 | ¥3.28 | 63 757 069 |
Jan 05, 2024 | ¥3.46 | ¥3.47 | ¥3.27 | ¥3.29 | 124 160 301 |
Jan 04, 2024 | ¥3.21 | ¥3.51 | ¥3.21 | ¥3.51 | 111 956 538 |
Jan 03, 2024 | ¥3.14 | ¥3.20 | ¥3.12 | ¥3.19 | 29 620 381 |
Jan 02, 2024 | ¥3.15 | ¥3.19 | ¥3.12 | ¥3.16 | 23 713 792 |
Dec 29, 2023 | ¥3.11 | ¥3.20 | ¥3.08 | ¥3.14 | 36 061 998 |
Dec 28, 2023 | ¥3.14 | ¥3.16 | ¥3.05 | ¥3.12 | 43 926 189 |
Dec 27, 2023 | ¥3.21 | ¥3.24 | ¥3.08 | ¥3.14 | 51 150 066 |
Dec 26, 2023 | ¥3.25 | ¥3.32 | ¥3.20 | ¥3.21 | 92 804 463 |
Dec 25, 2023 | ¥2.93 | ¥3.25 | ¥2.93 | ¥3.25 | 59 451 673 |
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.