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 |
Dec 22, 2023 | ¥3.00 | ¥3.00 | ¥2.93 | ¥2.95 | 13 972 699 |
Dec 21, 2023 | ¥2.96 | ¥3.01 | ¥2.91 | ¥2.99 | 18 649 012 |
Dec 20, 2023 | ¥3.00 | ¥3.01 | ¥2.96 | ¥2.96 | 10 542 225 |
Dec 19, 2023 | ¥3.04 | ¥3.04 | ¥2.98 | ¥3.00 | 13 074 275 |
Dec 18, 2023 | ¥3.06 | ¥3.09 | ¥3.02 | ¥3.03 | 12 754 517 |
Dec 15, 2023 | ¥3.13 | ¥3.14 | ¥3.04 | ¥3.04 | 19 891 161 |
Dec 14, 2023 | ¥3.15 | ¥3.16 | ¥3.12 | ¥3.13 | 12 369 776 |
Dec 13, 2023 | ¥3.10 | ¥3.18 | ¥3.08 | ¥3.14 | 18 318 000 |
Dec 12, 2023 | ¥3.11 | ¥3.11 | ¥3.08 | ¥3.10 | 8 672 250 |
Dec 11, 2023 | ¥3.07 | ¥3.11 | ¥3.05 | ¥3.11 | 15 183 052 |
Dec 08, 2023 | ¥3.12 | ¥3.12 | ¥3.07 | ¥3.07 | 16 372 900 |
Dec 07, 2023 | ¥3.15 | ¥3.16 | ¥3.10 | ¥3.11 | 12 832 673 |
Dec 06, 2023 | ¥3.13 | ¥3.18 | ¥3.08 | ¥3.15 | 17 609 252 |
Dec 05, 2023 | ¥3.16 | ¥3.18 | ¥3.13 | ¥3.14 | 13 459 527 |
Dec 04, 2023 | ¥3.16 | ¥3.19 | ¥3.13 | ¥3.17 | 13 678 850 |
Dec 01, 2023 | ¥3.16 | ¥3.19 | ¥3.15 | ¥3.17 | 14 427 700 |
Nov 30, 2023 | ¥3.12 | ¥3.17 | ¥3.12 | ¥3.16 | 18 215 344 |
Nov 29, 2023 | ¥3.18 | ¥3.18 | ¥3.11 | ¥3.12 | 13 068 200 |
Nov 28, 2023 | ¥3.15 | ¥3.20 | ¥3.11 | ¥3.18 | 20 017 050 |
Nov 27, 2023 | ¥3.27 | ¥3.28 | ¥3.15 | ¥3.17 | 36 649 550 |
Nov 24, 2023 | ¥3.20 | ¥3.28 | ¥3.19 | ¥3.25 | 46 439 802 |
Nov 23, 2023 | ¥3.14 | ¥3.20 | ¥3.14 | ¥3.20 | 20 346 791 |
Nov 22, 2023 | ¥3.14 | ¥3.17 | ¥3.11 | ¥3.15 | 17 512 476 |
Nov 21, 2023 | ¥3.14 | ¥3.15 | ¥3.11 | ¥3.13 | 15 247 812 |
Nov 20, 2023 | ¥3.09 | ¥3.15 | ¥3.08 | ¥3.12 | 18 356 858 |
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.