SZCE:300769
Shenzhen Dynanonic Co Ltd Stock Price (Quote)
¥32.10
-0.300 (-0.93%)
At Close: Jun 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥31.42 | ¥40.11 | Friday, 14th Jun 2024 300769.SZ stock ended at ¥32.10. This is 0.93% less than the trading day before Thursday, 13th Jun 2024. During the day the stock fluctuated 2.99% from a day low at ¥31.76 to a day high of ¥32.71. |
90 days | ¥30.00 | ¥45.54 | |
52 weeks | ¥30.00 | ¥132.90 |
Historical Shenzhen Dynanonic Co Ltd prices
Date | Open | High | Low | Close | Volume |
May 27, 2022 | ¥285.00 | ¥290.50 | ¥281.00 | ¥282.00 | 1 988 570 |
May 26, 2022 | ¥275.59 | ¥290.00 | ¥272.40 | ¥284.50 | 2 907 470 |
May 25, 2022 | ¥269.00 | ¥273.87 | ¥261.99 | ¥272.37 | 2 001 890 |
May 24, 2022 | ¥280.27 | ¥280.27 | ¥265.03 | ¥266.44 | 2 400 280 |
May 23, 2022 | ¥279.44 | ¥283.81 | ¥276.13 | ¥281.00 | 1 722 980 |
May 20, 2022 | ¥284.67 | ¥288.23 | ¥276.83 | ¥280.12 | 3 225 140 |
May 19, 2022 | ¥287.60 | ¥291.78 | ¥276.00 | ¥287.30 | 3 283 690 |
May 18, 2022 | ¥273.50 | ¥297.49 | ¥270.85 | ¥290.50 | 3 436 810 |
May 17, 2022 | ¥266.39 | ¥276.70 | ¥259.28 | ¥273.84 | 2 433 470 |
May 16, 2022 | ¥266.11 | ¥272.76 | ¥264.45 | ¥265.55 | 1 064 810 |
May 13, 2022 | ¥273.32 | ¥274.98 | ¥263.89 | ¥266.67 | 1 111 370 |
May 12, 2022 | ¥271.64 | ¥273.60 | ¥261.68 | ¥270.52 | 1 371 850 |
May 11, 2022 | ¥255.02 | ¥276.62 | ¥248.35 | ¥269.97 | 2 143 070 |
May 10, 2022 | ¥233.39 | ¥257.74 | ¥231.79 | ¥251.70 | 1 918 030 |
May 09, 2022 | ¥240.52 | ¥244.42 | ¥232.84 | ¥237.86 | 1 456 940 |
May 06, 2022 | ¥231.18 | ¥250.59 | ¥230.35 | ¥244.47 | 1 164 830 |
May 05, 2022 | ¥241.44 | ¥245.35 | ¥230.63 | ¥241.39 | 2 384 080 |
May 04, 2022 | ¥244.99 | ¥244.99 | ¥244.99 | ¥244.99 | 0 |
May 03, 2022 | ¥244.99 | ¥244.99 | ¥244.99 | ¥244.99 | 0 |
Apr 29, 2022 | ¥238.36 | ¥248.37 | ¥231.45 | ¥244.99 | 1 933 270 |
Apr 28, 2022 | ¥232.85 | ¥247.57 | ¥229.52 | ¥238.34 | 1 774 620 |
Apr 27, 2022 | ¥210.54 | ¥239.57 | ¥205.96 | ¥237.98 | 2 326 000 |
Apr 26, 2022 | ¥229.13 | ¥231.18 | ¥212.09 | ¥215.03 | 1 699 590 |
Apr 25, 2022 | ¥238.65 | ¥240.72 | ¥225.62 | ¥226.80 | 1 429 170 |
Apr 22, 2022 | ¥249.48 | ¥250.87 | ¥237.29 | ¥238.95 | 1 751 460 |
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.