SZCE:300417
Delisted
Nanhua Instruments Co Ltd Stock Price (Quote)
¥10.24
+0 (+0%)
At Close: Apr 19, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥10.24 | ¥10.24 | Wednesday, 19th Apr 2023 300417.SZ stock ended at ¥10.24. During the day the stock fluctuated 0% from a day low at ¥10.24 to a day high of ¥10.24. |
90 days | ¥10.03 | ¥10.38 | |
52 weeks | ¥8.00 | ¥12.00 |
Date | Open | High | Low | Close | Volume |
Feb 01, 2023 | ¥10.24 | ¥10.24 | ¥10.24 | ¥10.24 | 0 |
Jan 30, 2023 | ¥10.24 | ¥10.24 | ¥10.24 | ¥10.24 | 0 |
Jan 28, 2023 | ¥10.24 | ¥10.24 | ¥10.24 | ¥10.24 | 0 |
Jan 20, 2023 | ¥10.15 | ¥10.38 | ¥10.15 | ¥10.27 | 812 400 |
Jan 19, 2023 | ¥10.13 | ¥10.21 | ¥10.03 | ¥10.18 | 796 100 |
Jan 18, 2023 | ¥9.97 | ¥10.14 | ¥9.84 | ¥10.07 | 983 937 |
Jan 17, 2023 | ¥9.94 | ¥9.97 | ¥9.83 | ¥9.89 | 788 200 |
Jan 16, 2023 | ¥9.70 | ¥9.90 | ¥9.63 | ¥9.83 | 993 830 |
Jan 13, 2023 | ¥9.82 | ¥9.82 | ¥9.61 | ¥9.67 | 1 047 210 |
Jan 12, 2023 | ¥9.72 | ¥9.82 | ¥9.63 | ¥9.73 | 862 810 |
Jan 11, 2023 | ¥9.80 | ¥9.88 | ¥9.67 | ¥9.68 | 2 054 270 |
Jan 10, 2023 | ¥10.00 | ¥10.02 | ¥9.82 | ¥9.85 | 652 300 |
Jan 09, 2023 | ¥10.10 | ¥10.11 | ¥9.90 | ¥9.95 | 840 870 |
Jan 06, 2023 | ¥10.02 | ¥10.23 | ¥9.98 | ¥10.01 | 1 164 390 |
Jan 05, 2023 | ¥10.17 | ¥10.25 | ¥10.02 | ¥10.13 | 728 280 |
Jan 04, 2023 | ¥10.00 | ¥10.18 | ¥9.98 | ¥10.12 | 917 822 |
Jan 03, 2023 | ¥9.72 | ¥10.02 | ¥9.72 | ¥9.98 | 873 412 |
Dec 30, 2022 | ¥9.72 | ¥9.80 | ¥9.63 | ¥9.70 | 566 750 |
Dec 29, 2022 | ¥9.79 | ¥9.82 | ¥9.65 | ¥9.68 | 738 400 |
Dec 28, 2022 | ¥9.99 | ¥9.99 | ¥9.68 | ¥9.78 | 601 380 |
Dec 27, 2022 | ¥9.95 | ¥10.18 | ¥9.91 | ¥9.92 | 533 170 |
Dec 26, 2022 | ¥9.87 | ¥10.13 | ¥9.82 | ¥10.03 | 902 141 |
Dec 23, 2022 | ¥9.90 | ¥10.10 | ¥9.59 | ¥9.91 | 2 282 288 |
Dec 22, 2022 | ¥9.99 | ¥9.99 | ¥9.62 | ¥9.65 | 836 900 |
Dec 21, 2022 | ¥10.00 | ¥10.06 | ¥9.83 | ¥9.90 | 780 900 |
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 300417.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 300417.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 300417.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.