SZCE:002373
China TransInfo Technology Co Ltd Stock Price (Quote)
¥9.16
+0.0900 (+0.99%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥9.00 | ¥10.42 | Friday, 17th May 2024 002373.SZ stock ended at ¥9.16. This is 0.99% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 5.43% from a day low at ¥9.03 to a day high of ¥9.52. |
90 days | ¥9.00 | ¥11.22 | |
52 weeks | ¥7.48 | ¥14.59 |
Date | Open | High | Low | Close | Volume |
Oct 06, 2023 | ¥11.94 | ¥11.94 | ¥11.94 | ¥11.94 | 0 |
Sep 28, 2023 | ¥11.84 | ¥11.99 | ¥11.81 | ¥11.94 | 6 323 100 |
Sep 27, 2023 | ¥11.88 | ¥11.95 | ¥11.80 | ¥11.80 | 7 285 841 |
Sep 26, 2023 | ¥11.82 | ¥12.13 | ¥11.79 | ¥11.90 | 9 226 037 |
Sep 25, 2023 | ¥12.02 | ¥12.02 | ¥11.75 | ¥11.82 | 10 236 057 |
Sep 22, 2023 | ¥11.70 | ¥12.03 | ¥11.65 | ¥12.02 | 9 607 896 |
Sep 21, 2023 | ¥11.73 | ¥11.85 | ¥11.63 | ¥11.71 | 5 996 303 |
Sep 20, 2023 | ¥11.80 | ¥11.94 | ¥11.68 | ¥11.71 | 6 982 945 |
Sep 19, 2023 | ¥12.11 | ¥12.11 | ¥11.74 | ¥11.80 | 8 931 581 |
Sep 18, 2023 | ¥11.96 | ¥12.26 | ¥11.91 | ¥12.13 | 8 592 261 |
Sep 15, 2023 | ¥12.11 | ¥12.16 | ¥11.95 | ¥12.03 | 7 799 713 |
Sep 14, 2023 | ¥12.27 | ¥12.34 | ¥11.97 | ¥12.10 | 10 349 869 |
Sep 13, 2023 | ¥12.80 | ¥12.84 | ¥12.20 | ¥12.29 | 13 512 500 |
Sep 12, 2023 | ¥13.00 | ¥13.05 | ¥12.73 | ¥12.85 | 10 158 978 |
Sep 11, 2023 | ¥12.52 | ¥12.93 | ¥12.43 | ¥12.82 | 13 002 283 |
Sep 08, 2023 | ¥12.37 | ¥12.59 | ¥12.31 | ¥12.43 | 5 620 097 |
Sep 07, 2023 | ¥12.55 | ¥12.68 | ¥12.43 | ¥12.46 | 6 959 893 |
Sep 06, 2023 | ¥12.50 | ¥12.72 | ¥12.34 | ¥12.65 | 9 116 800 |
Sep 05, 2023 | ¥12.62 | ¥12.70 | ¥12.48 | ¥12.51 | 7 262 754 |
Sep 04, 2023 | ¥12.55 | ¥12.65 | ¥12.44 | ¥12.64 | 8 146 500 |
Sep 01, 2023 | ¥12.71 | ¥12.82 | ¥12.44 | ¥12.48 | 7 969 677 |
Aug 31, 2023 | ¥12.72 | ¥12.87 | ¥12.65 | ¥12.73 | 7 790 500 |
Aug 30, 2023 | ¥12.51 | ¥12.95 | ¥12.49 | ¥12.81 | 13 784 974 |
Aug 29, 2023 | ¥11.85 | ¥12.60 | ¥11.85 | ¥12.51 | 16 570 455 |
Aug 28, 2023 | ¥12.33 | ¥12.42 | ¥11.87 | ¥11.90 | 12 477 725 |
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 002373.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002373.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 002373.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.