SZCE:002014
Huangshan Novel Co., Ltd. Stock Price (Quote)
¥10.16
+0.0600 (+0.594%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥9.91 | ¥10.82 | Friday, 17th May 2024 002014.SZ stock ended at ¥10.16. This is 0.594% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 2.69% from a day low at ¥10.03 to a day high of ¥10.30. |
90 days | ¥8.51 | ¥10.90 | |
52 weeks | ¥7.63 | ¥10.90 |
Date | Open | High | Low | Close | Volume |
Aug 25, 2023 | ¥8.36 | ¥8.57 | ¥8.31 | ¥8.34 | 5 643 760 |
Aug 24, 2023 | ¥8.22 | ¥8.29 | ¥8.10 | ¥8.21 | 2 685 100 |
Aug 23, 2023 | ¥8.27 | ¥8.27 | ¥8.14 | ¥8.16 | 2 371 160 |
Aug 22, 2023 | ¥8.49 | ¥8.49 | ¥8.18 | ¥8.27 | 4 050 132 |
Aug 21, 2023 | ¥8.44 | ¥8.54 | ¥8.37 | ¥8.40 | 2 218 840 |
Aug 18, 2023 | ¥8.49 | ¥8.55 | ¥8.39 | ¥8.40 | 1 877 033 |
Aug 17, 2023 | ¥8.39 | ¥8.51 | ¥8.36 | ¥8.50 | 2 257 680 |
Aug 16, 2023 | ¥8.50 | ¥8.50 | ¥8.37 | ¥8.40 | 2 732 880 |
Aug 15, 2023 | ¥8.52 | ¥8.67 | ¥8.46 | ¥8.50 | 3 332 655 |
Aug 14, 2023 | ¥8.56 | ¥8.60 | ¥8.37 | ¥8.51 | 3 247 360 |
Aug 11, 2023 | ¥8.70 | ¥8.74 | ¥8.60 | ¥8.60 | 1 921 320 |
Aug 10, 2023 | ¥8.61 | ¥8.69 | ¥8.55 | ¥8.65 | 2 215 460 |
Aug 09, 2023 | ¥8.64 | ¥8.73 | ¥8.58 | ¥8.60 | 1 651 280 |
Aug 08, 2023 | ¥8.70 | ¥8.71 | ¥8.59 | ¥8.68 | 1 238 435 |
Aug 07, 2023 | ¥8.83 | ¥8.83 | ¥8.64 | ¥8.65 | 2 196 520 |
Aug 04, 2023 | ¥8.80 | ¥8.88 | ¥8.72 | ¥8.77 | 1 646 722 |
Aug 03, 2023 | ¥8.84 | ¥8.84 | ¥8.67 | ¥8.77 | 2 091 280 |
Aug 02, 2023 | ¥8.91 | ¥8.95 | ¥8.73 | ¥8.77 | 2 130 414 |
Aug 01, 2023 | ¥9.07 | ¥9.10 | ¥8.85 | ¥8.89 | 4 297 154 |
Jul 31, 2023 | ¥9.00 | ¥9.08 | ¥8.92 | ¥9.07 | 2 676 694 |
Jul 28, 2023 | ¥8.92 | ¥9.03 | ¥8.89 | ¥9.00 | 2 434 182 |
Jul 27, 2023 | ¥9.06 | ¥9.07 | ¥8.90 | ¥8.91 | 1 976 520 |
Jul 26, 2023 | ¥8.95 | ¥9.05 | ¥8.92 | ¥9.03 | 2 627 520 |
Jul 25, 2023 | ¥9.03 | ¥9.09 | ¥8.92 | ¥8.92 | 2 336 420 |
Jul 24, 2023 | ¥8.90 | ¥9.05 | ¥8.82 | ¥9.00 | 3 041 281 |
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 002014.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002014.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 002014.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.