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Range Low Price High Price Comment
30 days ¥8.50 ¥10.42 Friday, 31st May 2024 002373.SZ stock ended at ¥8.87. This is 2.42% more than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 4.07% from a day low at ¥8.60 to a day high of ¥8.95.
90 days ¥8.50 ¥11.22
52 weeks ¥7.48 ¥14.59

Historical China TransInfo Technology Co Ltd prices

Date Open High Low Close Volume
Jul 22, 2022 ¥10.18 ¥10.39 ¥10.03 ¥10.09 17 003 472
Jul 21, 2022 ¥10.38 ¥10.53 ¥10.19 ¥10.19 17 883 982
Jul 20, 2022 ¥10.48 ¥10.55 ¥10.30 ¥10.33 13 339 920
Jul 19, 2022 ¥10.21 ¥10.44 ¥10.17 ¥10.40 14 300 730
Jul 18, 2022 ¥9.74 ¥10.38 ¥9.71 ¥10.28 18 727 673
Jul 15, 2022 ¥9.99 ¥10.04 ¥9.60 ¥9.75 20 481 167
Jul 14, 2022 ¥10.28 ¥10.32 ¥10.09 ¥10.13 13 595 598
Jul 13, 2022 ¥10.20 ¥10.48 ¥10.09 ¥10.35 16 158 338
Jul 12, 2022 ¥10.43 ¥10.67 ¥10.16 ¥10.17 22 888 782
Jul 11, 2022 ¥10.76 ¥11.07 ¥10.43 ¥10.43 30 049 434
Jul 08, 2022 ¥10.56 ¥11.16 ¥10.45 ¥10.61 27 235 759
Jul 07, 2022 ¥10.37 ¥10.82 ¥10.29 ¥10.71 36 663 386
Jul 06, 2022 ¥10.03 ¥10.37 ¥9.90 ¥10.14 29 402 812
Jul 05, 2022 ¥10.34 ¥10.49 ¥9.95 ¥10.10 34 413 003
Jul 04, 2022 ¥10.55 ¥10.60 ¥10.25 ¥10.28 43 821 191
Jul 01, 2022 ¥10.85 ¥10.99 ¥10.65 ¥10.65 30 932 469
Jun 30, 2022 ¥10.60 ¥11.50 ¥10.33 ¥11.12 58 023 336
Jun 29, 2022 ¥10.71 ¥11.22 ¥10.40 ¥10.60 82 863 192
Jun 28, 2022 ¥9.68 ¥10.21 ¥9.68 ¥10.21 21 030 626
Jun 27, 2022 ¥9.30 ¥9.40 ¥9.22 ¥9.28 9 924 579
Jun 24, 2022 ¥9.46 ¥9.48 ¥9.28 ¥9.32 13 986 346
Jun 23, 2022 ¥8.91 ¥9.19 ¥8.91 ¥9.18 5 565 545
Jun 22, 2022 ¥9.23 ¥9.23 ¥8.90 ¥8.94 11 352 606
Jun 21, 2022 ¥9.15 ¥9.24 ¥9.06 ¥9.16 11 515 027
Jun 20, 2022 ¥9.20 ¥9.21 ¥9.05 ¥9.14 9 706 388

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.

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.

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.

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.
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About China TransInfo Technology Co Ltd

China Transinfo Technology Co., Ltd. engages in the transportation and IoT businesses. The company offers traffic solutions and services for the urban transportation, highway transportation, V2X networking, rail transportation, civil aviation, and other fields, as well as provides traffic signal control system, traffic management and control center, law enforcement system, video monitoring system, road network prevention and control management sy... 002373.SZ Profile

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