KOSDAQ:281740
Lake Materials Co., Ltd. Stock Price (Quote)
₩18,160.00
-270.00 (-1.47%)
At Close: Jun 26, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₩17,970.00 | ₩23,150.00 | Wednesday, 26th Jun 2024 281740.KQ stock ended at ₩18,160.00. This is 1.47% less than the trading day before Tuesday, 25th Jun 2024. During the day the stock fluctuated 2.70% from a day low at ₩18,160.00 to a day high of ₩18,650.00. |
90 days | ₩17,970.00 | ₩23,150.00 | |
52 weeks | ₩17,970.00 | ₩23,150.00 |
Historical Lake Materials Co., Ltd. prices
Date | Open | High | Low | Close | Volume |
Jun 26, 2024 | ₩18,430.00 | ₩18,650.00 | ₩18,160.00 | ₩18,160.00 | 266 108 |
Jun 25, 2024 | ₩18,160.00 | ₩19,090.00 | ₩18,160.00 | ₩18,430.00 | 411 564 |
Jun 24, 2024 | ₩18,310.00 | ₩18,400.00 | ₩18,140.00 | ₩18,280.00 | 351 205 |
Jun 21, 2024 | ₩18,700.00 | ₩18,820.00 | ₩18,400.00 | ₩18,450.00 | 433 795 |
Jun 20, 2024 | ₩19,410.00 | ₩19,640.00 | ₩18,830.00 | ₩18,910.00 | 514 424 |
Jun 19, 2024 | ₩19,370.00 | ₩19,610.00 | ₩18,930.00 | ₩19,610.00 | 528 972 |
Jun 18, 2024 | ₩19,430.00 | ₩19,720.00 | ₩18,880.00 | ₩19,470.00 | 583 120 |
Jun 17, 2024 | ₩19,720.00 | ₩19,720.00 | ₩19,270.00 | ₩19,570.00 | 629 719 |
Jun 14, 2024 | ₩21,550.00 | ₩21,600.00 | ₩19,650.00 | ₩19,940.00 | 1 577 970 |
Jun 13, 2024 | ₩22,300.00 | ₩22,300.00 | ₩21,300.00 | ₩21,300.00 | 787 156 |
Jun 12, 2024 | ₩22,550.00 | ₩22,950.00 | ₩21,700.00 | ₩21,950.00 | 682 689 |
Jun 11, 2024 | ₩21,850.00 | ₩23,150.00 | ₩21,750.00 | ₩22,500.00 | 2 148 538 |
Jun 10, 2024 | ₩21,500.00 | ₩22,250.00 | ₩21,100.00 | ₩21,350.00 | 957 475 |
Jun 07, 2024 | ₩21,150.00 | ₩21,850.00 | ₩20,500.00 | ₩21,250.00 | 923 335 |
Jun 05, 2024 | ₩19,560.00 | ₩21,550.00 | ₩19,420.00 | ₩20,750.00 | 1 685 703 |
Jun 04, 2024 | ₩19,750.00 | ₩20,600.00 | ₩19,430.00 | ₩19,680.00 | 654 209 |
Jun 03, 2024 | ₩19,510.00 | ₩19,810.00 | ₩19,100.00 | ₩19,790.00 | 641 431 |
May 31, 2024 | ₩18,320.00 | ₩19,470.00 | ₩18,000.00 | ₩19,470.00 | 920 281 |
May 30, 2024 | ₩18,200.00 | ₩18,790.00 | ₩17,970.00 | ₩18,310.00 | 576 194 |
May 29, 2024 | ₩18,940.00 | ₩18,940.00 | ₩18,240.00 | ₩18,240.00 | 516 835 |
May 28, 2024 | ₩19,140.00 | ₩19,250.00 | ₩18,740.00 | ₩18,940.00 | 344 806 |
May 27, 2024 | ₩18,970.00 | ₩19,280.00 | ₩18,500.00 | ₩19,140.00 | 654 650 |
May 24, 2024 | ₩19,300.00 | ₩19,490.00 | ₩18,810.00 | ₩18,950.00 | 632 121 |
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 281740.KQ stock historical prices to predict future price movements?
Trend Analysis: Examine the 281740.KQ 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 281740.KQ 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.