SZCE:002367
CANNY ELEVATOR CO., LTD. Stock Price (Quote)
¥6.46
+0 (+0%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥6.44 | ¥7.68 | Friday, 31st May 2024 002367.SZ stock ended at ¥6.46. During the day the stock fluctuated 1.24% from a day low at ¥6.44 to a day high of ¥6.52. |
90 days | ¥6.44 | ¥7.80 | |
52 weeks | ¥5.51 | ¥9.40 |
Historical CANNY ELEVATOR CO., LTD. prices
Date | Open | High | Low | Close | Volume |
May 31, 2024 | ¥6.49 | ¥6.52 | ¥6.44 | ¥6.46 | 4 064 000 |
May 30, 2024 | ¥6.60 | ¥6.62 | ¥6.45 | ¥6.46 | 7 771 835 |
May 29, 2024 | ¥6.60 | ¥6.69 | ¥6.58 | ¥6.62 | 4 199 200 |
May 28, 2024 | ¥6.60 | ¥6.72 | ¥6.60 | ¥6.65 | 5 319 893 |
May 24, 2024 | ¥7.37 | ¥7.37 | ¥6.59 | ¥6.59 | 7 042 100 |
May 23, 2024 | ¥7.37 | ¥7.37 | ¥6.67 | ¥6.67 | 12 868 695 |
May 22, 2024 | ¥7.37 | ¥7.37 | ¥6.84 | ¥6.86 | 10 610 682 |
May 21, 2024 | ¥7.37 | ¥7.37 | ¥6.87 | ¥6.95 | 13 821 064 |
May 20, 2024 | ¥7.37 | ¥7.42 | ¥7.30 | ¥7.30 | 16 856 999 |
May 17, 2024 | ¥7.28 | ¥7.44 | ¥7.28 | ¥7.42 | 16 780 885 |
May 16, 2024 | ¥7.28 | ¥7.38 | ¥7.26 | ¥7.37 | 12 804 449 |
May 15, 2024 | ¥7.28 | ¥7.48 | ¥7.26 | ¥7.29 | 16 558 849 |
May 14, 2024 | ¥7.28 | ¥7.55 | ¥7.28 | ¥7.45 | 20 654 234 |
May 13, 2024 | ¥7.28 | ¥7.42 | ¥7.09 | ¥7.42 | 26 686 213 |
May 10, 2024 | ¥7.20 | ¥7.45 | ¥7.11 | ¥7.24 | 22 255 803 |
May 09, 2024 | ¥7.09 | ¥7.31 | ¥7.09 | ¥7.28 | 15 899 573 |
May 08, 2024 | ¥7.09 | ¥7.42 | ¥7.09 | ¥7.21 | 24 050 524 |
May 07, 2024 | ¥7.09 | ¥7.52 | ¥7.09 | ¥7.41 | 42 285 006 |
May 06, 2024 | ¥7.09 | ¥7.68 | ¥7.01 | ¥7.68 | 47 423 130 |
Apr 30, 2024 | ¥6.79 | ¥7.12 | ¥6.79 | ¥6.98 | 7 325 520 |
Apr 29, 2024 | ¥6.79 | ¥7.13 | ¥6.79 | ¥7.12 | 12 630 520 |
Apr 26, 2024 | ¥7.21 | ¥7.21 | ¥6.73 | ¥6.83 | 10 519 070 |
Apr 25, 2024 | ¥7.21 | ¥7.21 | ¥6.77 | ¥6.84 | 19 546 687 |
Apr 24, 2024 | ¥7.21 | ¥7.31 | ¥7.10 | ¥7.30 | 7 296 002 |
Apr 23, 2024 | ¥7.21 | ¥7.21 | ¥7.09 | ¥7.13 | 5 738 339 |
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 002367.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002367.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 002367.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.