Langold Real Estate Co Ltd Stock Price (Quote)
¥2.32
+0.210 (+9.95%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ¥1.31 | ¥2.40 | Friday, 17th May 2024 002305.SZ stock ended at ¥2.32. This is 9.95% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 19.59% from a day low at ¥1.94 to a day high of ¥2.32. |
90 days | ¥1.31 | ¥2.40 | |
52 weeks | ¥1.31 | ¥2.85 |
Date | Open | High | Low | Close | Volume |
May 17, 2024 | ¥1.94 | ¥2.32 | ¥1.94 | ¥2.32 | 408 823 373 |
May 16, 2024 | ¥1.94 | ¥2.11 | ¥1.89 | ¥2.11 | 251 665 102 |
May 15, 2024 | ¥1.94 | ¥1.97 | ¥1.81 | ¥1.92 | 225 423 667 |
May 14, 2024 | ¥1.94 | ¥1.94 | ¥1.84 | ¥1.85 | 200 317 315 |
May 13, 2024 | ¥1.94 | ¥2.07 | ¥1.89 | ¥1.89 | 316 646 265 |
May 10, 2024 | ¥1.94 | ¥2.22 | ¥1.92 | ¥2.10 | 432 146 973 |
May 09, 2024 | ¥1.98 | ¥2.32 | ¥1.94 | ¥2.08 | 497 654 619 |
May 08, 2024 | ¥1.98 | ¥2.40 | ¥1.98 | ¥2.16 | 27 367 800 |
May 07, 2024 | ¥1.98 | ¥2.40 | ¥1.98 | ¥2.40 | 560 924 838 |
May 06, 2024 | ¥1.98 | ¥2.18 | ¥1.98 | ¥2.18 | 21 088 400 |
Apr 30, 2024 | ¥1.50 | ¥1.98 | ¥1.50 | ¥1.98 | 26 786 952 |
Apr 29, 2024 | ¥1.50 | ¥1.80 | ¥1.50 | ¥1.80 | 49 491 450 |
Apr 26, 2024 | ¥1.40 | ¥1.64 | ¥1.40 | ¥1.64 | 109 513 615 |
Apr 25, 2024 | ¥1.40 | ¥1.49 | ¥1.40 | ¥1.49 | 68 117 515 |
Apr 24, 2024 | ¥1.40 | ¥1.40 | ¥1.34 | ¥1.35 | 24 326 300 |
Apr 23, 2024 | ¥1.40 | ¥1.40 | ¥1.34 | ¥1.38 | 21 583 700 |
Apr 22, 2024 | ¥1.40 | ¥1.40 | ¥1.31 | ¥1.36 | 24 155 290 |
Apr 19, 2024 | ¥1.55 | ¥1.55 | ¥1.35 | ¥1.36 | 31 285 900 |
Apr 18, 2024 | ¥1.55 | ¥1.55 | ¥1.40 | ¥1.40 | 27 185 202 |
Apr 17, 2024 | ¥1.55 | ¥1.55 | ¥1.38 | ¥1.44 | 23 010 800 |
Apr 16, 2024 | ¥1.55 | ¥1.55 | ¥1.37 | ¥1.38 | 31 566 900 |
Apr 15, 2024 | ¥1.55 | ¥1.55 | ¥1.40 | ¥1.46 | 31 328 353 |
Apr 12, 2024 | ¥1.65 | ¥1.65 | ¥1.48 | ¥1.49 | 26 527 200 |
Apr 11, 2024 | ¥1.65 | ¥1.65 | ¥1.54 | ¥1.55 | 22 251 925 |
Apr 10, 2024 | ¥1.65 | ¥1.65 | ¥1.57 | ¥1.58 | 19 152 128 |
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 002305.SZ stock historical prices to predict future price movements?
Trend Analysis: Examine the 002305.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 002305.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.