SZCE:000514
Chongqing Yukaifa Co Ltd Stock Price (Quote)
¥3.69
+0.180 (+5.13%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥2.85 | ¥3.78 | Thursday, 16th May 2024 000514.SZ stock ended at ¥3.69. This is 5.13% more than the trading day before Wednesday, 15th May 2024. During the day the stock fluctuated 11.50% from a day low at ¥3.39 to a day high of ¥3.78. |
90 days | ¥2.82 | ¥3.78 | |
52 weeks | ¥2.50 | ¥6.42 |
Date | Open | High | Low | Close | Volume |
Jun 13, 2023 | ¥3.97 | ¥4.04 | ¥3.96 | ¥3.98 | 9 126 734 |
Jun 12, 2023 | ¥3.95 | ¥4.02 | ¥3.90 | ¥3.98 | 9 185 100 |
Jun 09, 2023 | ¥3.98 | ¥4.01 | ¥3.94 | ¥3.96 | 11 361 900 |
Jun 08, 2023 | ¥3.91 | ¥4.06 | ¥3.90 | ¥4.00 | 17 811 442 |
Jun 07, 2023 | ¥3.82 | ¥4.00 | ¥3.82 | ¥3.90 | 12 252 886 |
Jun 06, 2023 | ¥3.84 | ¥3.93 | ¥3.82 | ¥3.84 | 11 664 600 |
Jun 05, 2023 | ¥3.79 | ¥3.84 | ¥3.74 | ¥3.83 | 7 213 600 |
Jun 02, 2023 | ¥3.66 | ¥3.85 | ¥3.66 | ¥3.81 | 12 114 000 |
Jun 01, 2023 | ¥3.70 | ¥3.72 | ¥3.64 | ¥3.66 | 7 818 500 |
May 31, 2023 | ¥3.73 | ¥3.80 | ¥3.70 | ¥3.71 | 7 770 900 |
May 30, 2023 | ¥3.65 | ¥3.75 | ¥3.61 | ¥3.73 | 7 985 842 |
May 29, 2023 | ¥3.71 | ¥3.73 | ¥3.62 | ¥3.63 | 6 910 000 |
May 26, 2023 | ¥3.71 | ¥3.73 | ¥3.62 | ¥3.72 | 6 336 400 |
May 25, 2023 | ¥3.75 | ¥3.75 | ¥3.66 | ¥3.71 | 6 337 400 |
May 24, 2023 | ¥3.78 | ¥3.83 | ¥3.71 | ¥3.72 | 8 062 310 |
May 23, 2023 | ¥3.83 | ¥3.89 | ¥3.78 | ¥3.78 | 5 126 400 |
May 22, 2023 | ¥3.91 | ¥3.91 | ¥3.80 | ¥3.85 | 8 712 500 |
May 19, 2023 | ¥4.02 | ¥4.03 | ¥3.91 | ¥3.93 | 6 411 109 |
May 18, 2023 | ¥4.05 | ¥4.06 | ¥4.00 | ¥4.02 | 5 207 800 |
May 17, 2023 | ¥4.03 | ¥4.08 | ¥4.01 | ¥4.05 | 5 358 632 |
May 16, 2023 | ¥4.08 | ¥4.15 | ¥4.04 | ¥4.06 | 7 342 699 |
May 15, 2023 | ¥4.12 | ¥4.15 | ¥4.01 | ¥4.11 | 9 252 409 |
May 12, 2023 | ¥4.17 | ¥4.20 | ¥4.10 | ¥4.10 | 10 508 500 |
May 11, 2023 | ¥4.06 | ¥4.18 | ¥4.05 | ¥4.15 | 13 404 720 |
May 10, 2023 | ¥4.01 | ¥4.09 | ¥4.01 | ¥4.04 | 9 732 606 |
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 000514.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 000514.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 000514.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.