SZCE:300539
Delisted
Ningbo Henghe Mould Co Ltd Stock Price (Quote)
¥11.69
+0 (+0%)
At Close: Apr 19, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥11.69 | ¥11.69 | Wednesday, 19th Apr 2023 300539.SZ stock ended at ¥11.69. During the day the stock fluctuated 0% from a day low at ¥11.69 to a day high of ¥11.69. |
90 days | ¥11.36 | ¥11.88 | |
52 weeks | ¥6.22 | ¥11.88 |
Date | Open | High | Low | Close | Volume |
Jul 25, 2022 | ¥8.46 | ¥8.46 | ¥8.13 | ¥8.19 | 4 337 811 |
Jul 22, 2022 | ¥8.46 | ¥8.57 | ¥8.33 | ¥8.47 | 6 430 793 |
Jul 21, 2022 | ¥8.46 | ¥8.55 | ¥8.34 | ¥8.35 | 7 492 994 |
Jul 20, 2022 | ¥8.70 | ¥8.70 | ¥8.40 | ¥8.53 | 11 721 094 |
Jul 19, 2022 | ¥8.36 | ¥8.79 | ¥8.28 | ¥8.69 | 16 045 391 |
Jul 18, 2022 | ¥8.43 | ¥8.60 | ¥8.27 | ¥8.35 | 7 283 172 |
Jul 15, 2022 | ¥8.17 | ¥8.31 | ¥7.93 | ¥8.30 | 6 933 110 |
Jul 14, 2022 | ¥8.24 | ¥8.25 | ¥8.09 | ¥8.10 | 3 471 048 |
Jul 13, 2022 | ¥7.90 | ¥8.25 | ¥7.89 | ¥8.16 | 4 807 983 |
Jul 12, 2022 | ¥8.30 | ¥8.32 | ¥7.88 | ¥7.90 | 5 981 726 |
Jul 11, 2022 | ¥8.25 | ¥8.40 | ¥8.14 | ¥8.33 | 5 588 119 |
Jul 08, 2022 | ¥8.20 | ¥8.34 | ¥8.10 | ¥8.29 | 6 144 553 |
Jul 07, 2022 | ¥8.24 | ¥8.33 | ¥8.10 | ¥8.14 | 7 195 001 |
Jul 06, 2022 | ¥8.13 | ¥8.45 | ¥8.01 | ¥8.35 | 10 855 784 |
Jul 05, 2022 | ¥8.33 | ¥8.35 | ¥8.00 | ¥8.11 | 14 413 620 |
Jul 04, 2022 | ¥8.62 | ¥8.71 | ¥8.26 | ¥8.30 | 10 461 388 |
Jul 01, 2022 | ¥8.90 | ¥9.00 | ¥8.51 | ¥8.55 | 13 763 986 |
Jun 30, 2022 | ¥8.85 | ¥9.78 | ¥8.59 | ¥9.16 | 22 226 946 |
Jun 29, 2022 | ¥9.91 | ¥10.30 | ¥8.71 | ¥9.28 | 32 032 360 |
Jun 28, 2022 | ¥7.80 | ¥9.35 | ¥7.70 | ¥9.35 | 22 102 876 |
Jun 27, 2022 | ¥7.68 | ¥7.84 | ¥7.60 | ¥7.79 | 2 512 520 |
Jun 24, 2022 | ¥7.60 | ¥7.68 | ¥7.52 | ¥7.60 | 1 362 500 |
Jun 23, 2022 | ¥7.44 | ¥7.60 | ¥7.40 | ¥7.57 | 1 975 820 |
Jun 22, 2022 | ¥7.64 | ¥7.66 | ¥7.41 | ¥7.41 | 1 221 800 |
Jun 21, 2022 | ¥7.58 | ¥7.65 | ¥7.48 | ¥7.63 | 1 762 620 |
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 300539.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 300539.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 300539.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.