SZCE:300769
Shenzhen Dynanonic Co Ltd Stock Price (Quote)
¥36.71
+0.88 (+2.46%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥30.00 | ¥42.39 | Friday, 17th May 2024 300769.SZ stock ended at ¥36.71. This is 2.46% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 14.60% from a day low at ¥35.00 to a day high of ¥40.11. |
90 days | ¥30.00 | ¥46.89 | |
52 weeks | ¥30.00 | ¥179.70 |
Date | Open | High | Low | Close | Volume |
Dec 15, 2023 | ¥56.79 | ¥59.26 | ¥56.33 | ¥56.78 | 9 512 970 |
Dec 14, 2023 | ¥58.61 | ¥59.11 | ¥56.20 | ¥56.48 | 7 399 663 |
Dec 13, 2023 | ¥60.78 | ¥60.78 | ¥57.77 | ¥57.93 | 7 464 507 |
Dec 12, 2023 | ¥61.98 | ¥62.85 | ¥60.28 | ¥60.49 | 8 417 673 |
Dec 11, 2023 | ¥64.00 | ¥64.00 | ¥61.60 | ¥62.54 | 9 533 440 |
Dec 08, 2023 | ¥66.20 | ¥66.48 | ¥63.00 | ¥64.55 | 12 287 700 |
Dec 07, 2023 | ¥65.00 | ¥66.28 | ¥63.10 | ¥65.08 | 9 709 797 |
Dec 06, 2023 | ¥61.88 | ¥67.95 | ¥61.16 | ¥65.00 | 14 966 448 |
Dec 05, 2023 | ¥62.01 | ¥64.51 | ¥61.41 | ¥61.83 | 9 395 688 |
Dec 04, 2023 | ¥62.37 | ¥62.65 | ¥61.30 | ¥61.75 | 5 298 819 |
Dec 01, 2023 | ¥64.54 | ¥64.65 | ¥62.07 | ¥62.78 | 7 126 947 |
Nov 30, 2023 | ¥66.58 | ¥67.00 | ¥64.44 | ¥64.60 | 5 490 978 |
Nov 29, 2023 | ¥68.60 | ¥69.30 | ¥66.74 | ¥66.97 | 3 854 656 |
Nov 28, 2023 | ¥69.45 | ¥69.55 | ¥67.90 | ¥69.07 | 3 162 421 |
Nov 27, 2023 | ¥71.35 | ¥71.39 | ¥68.66 | ¥69.03 | 4 149 197 |
Nov 24, 2023 | ¥72.89 | ¥72.96 | ¥71.32 | ¥71.64 | 3 379 852 |
Nov 23, 2023 | ¥73.56 | ¥74.17 | ¥72.10 | ¥72.74 | 2 935 033 |
Nov 22, 2023 | ¥75.38 | ¥75.81 | ¥73.65 | ¥73.65 | 3 692 670 |
Nov 21, 2023 | ¥77.40 | ¥79.15 | ¥75.77 | ¥75.81 | 4 578 368 |
Nov 20, 2023 | ¥75.93 | ¥77.54 | ¥74.40 | ¥76.41 | 3 429 689 |
Nov 17, 2023 | ¥75.15 | ¥76.14 | ¥75.01 | ¥75.90 | 2 789 641 |
Nov 16, 2023 | ¥79.42 | ¥79.59 | ¥75.50 | ¥75.65 | 6 163 586 |
Nov 15, 2023 | ¥79.49 | ¥81.30 | ¥78.88 | ¥79.82 | 6 747 134 |
Nov 14, 2023 | ¥79.00 | ¥79.64 | ¥77.55 | ¥78.23 | 3 313 125 |
Nov 13, 2023 | ¥79.50 | ¥80.39 | ¥77.88 | ¥79.08 | 2 970 025 |
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 300769.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 300769.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 300769.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.