SZCE:000421
Nanjing Public Utilities Devlpmnt Co Ltd Stock Price (Quote)
¥5.45
-0.250 (-4.39%)
At Close: May 15, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥4.13 | ¥5.91 | Wednesday, 15th May 2024 000421.SZ stock ended at ¥5.45. This is 4.39% less than the trading day before Tuesday, 14th May 2024. During the day the stock fluctuated 12.20% from a day low at ¥5.00 to a day high of ¥5.61. |
90 days | ¥3.92 | ¥6.04 | |
52 weeks | ¥3.54 | ¥9.72 |
Date | Open | High | Low | Close | Volume |
Apr 03, 2024 | ¥5.02 | ¥5.34 | ¥5.02 | ¥5.25 | 23 892 283 |
Apr 02, 2024 | ¥5.02 | ¥5.38 | ¥5.02 | ¥5.28 | 18 565 373 |
Apr 01, 2024 | ¥5.02 | ¥5.25 | ¥5.02 | ¥5.25 | 15 220 490 |
Mar 29, 2024 | ¥5.15 | ¥5.15 | ¥5.00 | ¥5.10 | 12 828 641 |
Mar 28, 2024 | ¥5.15 | ¥5.15 | ¥4.87 | ¥5.03 | 16 082 650 |
Mar 27, 2024 | ¥5.15 | ¥5.20 | ¥4.94 | ¥4.94 | 20 543 500 |
Mar 26, 2024 | ¥5.15 | ¥5.21 | ¥5.00 | ¥5.12 | 24 938 500 |
Mar 25, 2024 | ¥5.34 | ¥5.36 | ¥5.16 | ¥5.20 | 38 622 400 |
Mar 22, 2024 | ¥5.24 | ¥5.57 | ¥5.19 | ¥5.40 | 61 862 606 |
Mar 21, 2024 | ¥5.22 | ¥5.26 | ¥5.13 | ¥5.25 | 22 330 200 |
Mar 20, 2024 | ¥5.12 | ¥5.19 | ¥5.10 | ¥5.19 | 17 257 070 |
Mar 19, 2024 | ¥5.14 | ¥5.26 | ¥5.11 | ¥5.12 | 23 133 388 |
Mar 18, 2024 | ¥5.14 | ¥5.18 | ¥5.08 | ¥5.15 | 30 156 871 |
Mar 15, 2024 | ¥4.96 | ¥5.10 | ¥4.96 | ¥5.09 | 30 520 901 |
Mar 14, 2024 | ¥5.03 | ¥5.06 | ¥4.90 | ¥4.98 | 21 517 770 |
Mar 13, 2024 | ¥5.07 | ¥5.10 | ¥5.00 | ¥5.05 | 25 353 941 |
Mar 12, 2024 | ¥5.00 | ¥5.19 | ¥4.93 | ¥5.10 | 42 913 722 |
Mar 11, 2024 | ¥4.90 | ¥4.97 | ¥4.84 | ¥4.96 | 26 176 700 |
Mar 08, 2024 | ¥4.98 | ¥5.01 | ¥4.84 | ¥4.96 | 34 788 401 |
Mar 07, 2024 | ¥5.32 | ¥5.33 | ¥4.99 | ¥5.02 | 72 027 603 |
Mar 06, 2024 | ¥4.88 | ¥5.32 | ¥4.80 | ¥5.32 | 43 600 301 |
Mar 05, 2024 | ¥4.98 | ¥4.99 | ¥4.80 | ¥4.84 | 21 495 112 |
Mar 04, 2024 | ¥4.86 | ¥5.13 | ¥4.80 | ¥5.04 | 27 865 702 |
Mar 01, 2024 | ¥4.84 | ¥4.92 | ¥4.77 | ¥4.86 | 16 955 712 |
Feb 29, 2024 | ¥4.54 | ¥4.81 | ¥4.49 | ¥4.80 | 23 724 160 |
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 000421.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 000421.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 000421.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.