SZCE:300763
Ningbo Ginlong Technologies Co Ltd Stock Price (Quote)
¥58.40
-1.76 (-2.93%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥52.00 | ¥63.09 | Friday, 24th May 2024 300763.SZ stock ended at ¥58.40. This is 2.93% less than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 6.21% from a day low at ¥57.51 to a day high of ¥61.08. |
90 days | ¥52.00 | ¥72.46 | |
52 weeks | ¥51.11 | ¥116.85 |
Date | Open | High | Low | Close | Volume |
Dec 22, 2023 | ¥63.60 | ¥69.49 | ¥62.90 | ¥67.28 | 21 413 812 |
Dec 21, 2023 | ¥58.92 | ¥65.25 | ¥58.66 | ¥64.35 | 17 606 397 |
Dec 20, 2023 | ¥59.80 | ¥59.98 | ¥58.35 | ¥59.39 | 6 946 184 |
Dec 19, 2023 | ¥57.90 | ¥60.88 | ¥57.62 | ¥59.52 | 10 059 068 |
Dec 18, 2023 | ¥58.66 | ¥59.63 | ¥57.70 | ¥57.93 | 5 424 296 |
Dec 15, 2023 | ¥58.15 | ¥61.38 | ¥58.15 | ¥59.04 | 11 268 696 |
Dec 14, 2023 | ¥58.31 | ¥59.25 | ¥57.41 | ¥57.50 | 5 930 344 |
Dec 13, 2023 | ¥60.01 | ¥60.02 | ¥57.50 | ¥57.52 | 8 759 914 |
Dec 12, 2023 | ¥62.20 | ¥62.53 | ¥59.96 | ¥60.23 | 8 483 651 |
Dec 11, 2023 | ¥62.00 | ¥62.67 | ¥60.91 | ¥62.49 | 6 513 231 |
Dec 08, 2023 | ¥63.09 | ¥64.32 | ¥62.31 | ¥62.98 | 6 365 114 |
Dec 07, 2023 | ¥64.26 | ¥64.60 | ¥62.55 | ¥62.57 | 6 829 234 |
Dec 06, 2023 | ¥63.50 | ¥65.93 | ¥63.40 | ¥64.85 | 6 274 023 |
Dec 05, 2023 | ¥65.00 | ¥66.40 | ¥63.80 | ¥63.84 | 5 393 990 |
Dec 04, 2023 | ¥65.03 | ¥66.09 | ¥64.37 | ¥65.38 | 5 240 711 |
Dec 01, 2023 | ¥66.23 | ¥66.73 | ¥64.88 | ¥65.36 | 5 176 616 |
Nov 30, 2023 | ¥65.63 | ¥68.66 | ¥65.42 | ¥66.65 | 6 529 564 |
Nov 29, 2023 | ¥65.28 | ¥66.28 | ¥64.18 | ¥65.94 | 5 447 722 |
Nov 28, 2023 | ¥66.08 | ¥66.98 | ¥64.77 | ¥65.27 | 5 329 284 |
Nov 27, 2023 | ¥69.60 | ¥69.60 | ¥65.69 | ¥66.10 | 7 578 343 |
Nov 24, 2023 | ¥70.40 | ¥70.66 | ¥69.12 | ¥69.14 | 3 272 173 |
Nov 23, 2023 | ¥70.11 | ¥70.96 | ¥69.57 | ¥70.43 | 4 406 394 |
Nov 22, 2023 | ¥70.87 | ¥71.68 | ¥70.02 | ¥70.10 | 4 884 224 |
Nov 21, 2023 | ¥71.32 | ¥72.27 | ¥70.88 | ¥71.18 | 5 253 268 |
Nov 20, 2023 | ¥69.81 | ¥72.10 | ¥68.71 | ¥71.68 | 7 749 043 |
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 300763.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 300763.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 300763.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.