SZCE:002600
LINGYI iTECH GUANGDONG Co Stock Price (Quote)
¥4.87
+0.0500 (+1.04%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥4.76 | ¥5.48 | Friday, 17th May 2024 002600.SZ stock ended at ¥4.87. This is 1.04% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 7.14% from a day low at ¥4.76 to a day high of ¥5.10. |
90 days | ¥4.76 | ¥5.98 | |
52 weeks | ¥4.26 | ¥7.34 |
Date | Open | High | Low | Close | Volume |
May 17, 2024 | ¥5.10 | ¥5.10 | ¥4.76 | ¥4.87 | 59 859 014 |
May 16, 2024 | ¥5.10 | ¥5.10 | ¥4.81 | ¥4.82 | 69 630 260 |
May 15, 2024 | ¥5.10 | ¥5.10 | ¥4.87 | ¥4.88 | 49 469 696 |
May 14, 2024 | ¥5.10 | ¥5.10 | ¥4.90 | ¥4.93 | 65 702 793 |
May 13, 2024 | ¥5.10 | ¥5.10 | ¥4.88 | ¥4.92 | 57 195 320 |
May 10, 2024 | ¥4.99 | ¥5.12 | ¥4.98 | ¥5.00 | 77 458 013 |
May 09, 2024 | ¥5.37 | ¥5.37 | ¥4.98 | ¥5.11 | 77 118 811 |
May 08, 2024 | ¥5.37 | ¥5.37 | ¥4.99 | ¥4.99 | 93 341 200 |
May 07, 2024 | ¥5.37 | ¥5.37 | ¥5.12 | ¥5.15 | 81 007 371 |
May 06, 2024 | ¥5.37 | ¥5.39 | ¥5.23 | ¥5.25 | 100 783 596 |
Apr 30, 2024 | ¥5.20 | ¥5.40 | ¥5.19 | ¥5.21 | 104 840 944 |
Apr 29, 2024 | ¥5.20 | ¥5.48 | ¥5.20 | ¥5.47 | 72 620 974 |
Apr 26, 2024 | ¥5.23 | ¥5.32 | ¥5.18 | ¥5.32 | 51 358 373 |
Apr 25, 2024 | ¥5.23 | ¥5.27 | ¥5.17 | ¥5.19 | 34 846 000 |
Apr 24, 2024 | ¥5.23 | ¥5.24 | ¥5.05 | ¥5.24 | 50 036 236 |
Apr 23, 2024 | ¥5.23 | ¥5.23 | ¥5.05 | ¥5.07 | 35 571 357 |
Apr 22, 2024 | ¥5.23 | ¥5.23 | ¥5.01 | ¥5.09 | 36 791 357 |
Apr 19, 2024 | ¥5.18 | ¥5.24 | ¥5.11 | ¥5.13 | 52 225 797 |
Apr 18, 2024 | ¥5.18 | ¥5.32 | ¥5.17 | ¥5.25 | 54 754 335 |
Apr 17, 2024 | ¥5.18 | ¥5.25 | ¥5.10 | ¥5.25 | 57 749 612 |
Apr 16, 2024 | ¥5.18 | ¥5.27 | ¥5.06 | ¥5.07 | 61 954 415 |
Apr 15, 2024 | ¥5.18 | ¥5.29 | ¥5.14 | ¥5.25 | 66 790 719 |
Apr 12, 2024 | ¥5.52 | ¥5.52 | ¥5.13 | ¥5.14 | 43 226 269 |
Apr 11, 2024 | ¥5.52 | ¥5.52 | ¥5.13 | ¥5.17 | 37 828 970 |
Apr 10, 2024 | ¥5.52 | ¥5.52 | ¥5.14 | ¥5.18 | 45 760 429 |
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 002600.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002600.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 002600.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.