SZCE:002510
Tianjin Motor Dies Co Ltd Stock Price (Quote)
¥4.09
+0.130 (+3.28%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥3.52 | ¥4.25 | Friday, 17th May 2024 002510.SZ stock ended at ¥4.09. This is 3.28% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 5.33% from a day low at ¥3.94 to a day high of ¥4.15. |
90 days | ¥3.44 | ¥4.58 | |
52 weeks | ¥2.96 | ¥6.48 |
Date | Open | High | Low | Close | Volume |
May 17, 2024 | ¥4.10 | ¥4.15 | ¥3.94 | ¥4.09 | 35 191 600 |
May 16, 2024 | ¥4.10 | ¥4.10 | ¥3.93 | ¥3.96 | 16 511 847 |
May 15, 2024 | ¥4.10 | ¥4.10 | ¥3.89 | ¥3.94 | 13 639 300 |
May 14, 2024 | ¥4.10 | ¥4.10 | ¥3.92 | ¥3.94 | 14 382 399 |
May 13, 2024 | ¥4.10 | ¥4.10 | ¥3.91 | ¥3.92 | 20 899 400 |
May 10, 2024 | ¥4.06 | ¥4.10 | ¥4.01 | ¥4.04 | 16 854 572 |
May 09, 2024 | ¥4.20 | ¥4.20 | ¥4.06 | ¥4.10 | 15 554 800 |
May 08, 2024 | ¥4.20 | ¥4.20 | ¥4.05 | ¥4.06 | 20 904 800 |
May 07, 2024 | ¥4.20 | ¥4.20 | ¥4.09 | ¥4.15 | 24 223 500 |
May 06, 2024 | ¥4.20 | ¥4.23 | ¥4.14 | ¥4.17 | 32 707 700 |
Apr 30, 2024 | ¥3.90 | ¥4.25 | ¥3.90 | ¥4.10 | 34 895 064 |
Apr 29, 2024 | ¥3.90 | ¥4.10 | ¥3.90 | ¥4.09 | 33 224 450 |
Apr 26, 2024 | ¥3.71 | ¥4.06 | ¥3.71 | ¥3.98 | 29 071 464 |
Apr 25, 2024 | ¥3.71 | ¥3.95 | ¥3.71 | ¥3.90 | 30 958 164 |
Apr 24, 2024 | ¥3.71 | ¥4.10 | ¥3.71 | ¥4.01 | 49 717 664 |
Apr 23, 2024 | ¥3.71 | ¥3.75 | ¥3.67 | ¥3.73 | 13 671 820 |
Apr 22, 2024 | ¥3.71 | ¥3.74 | ¥3.58 | ¥3.68 | 15 557 500 |
Apr 19, 2024 | ¥4.08 | ¥4.08 | ¥3.66 | ¥3.70 | 19 873 764 |
Apr 18, 2024 | ¥4.08 | ¥4.08 | ¥3.69 | ¥3.75 | 23 041 965 |
Apr 17, 2024 | ¥4.08 | ¥4.08 | ¥3.52 | ¥3.75 | 32 423 569 |
Apr 16, 2024 | ¥4.08 | ¥4.08 | ¥3.45 | ¥3.47 | 43 600 051 |
Apr 15, 2024 | ¥4.08 | ¥4.08 | ¥3.69 | ¥3.83 | 40 512 200 |
Apr 12, 2024 | ¥4.37 | ¥4.37 | ¥4.02 | ¥4.03 | 23 171 450 |
Apr 11, 2024 | ¥4.37 | ¥4.37 | ¥4.03 | ¥4.08 | 24 132 150 |
Apr 10, 2024 | ¥4.37 | ¥4.37 | ¥4.06 | ¥4.12 | 34 105 820 |
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 002510.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002510.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 002510.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.