Daewoo Engineering & Construction Co., Stock Price (Quote)
₩3,780.00
-55.00 (-1.43%)
At Close: Jun 21, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₩3,600.00 | ₩3,890.00 | Friday, 21st Jun 2024 047040.KS stock ended at ₩3,780.00. This is 1.43% less than the trading day before Thursday, 20th Jun 2024. During the day the stock fluctuated 6.94% from a day low at ₩3,600.00 to a day high of ₩3,850.00. |
90 days | ₩3,580.00 | ₩3,890.00 | |
52 weeks | ₩3,580.00 | ₩4,790.00 |
Historical Daewoo Engineering & Construction Co., Ltd. prices
Date | Open | High | Low | Close | Volume |
Jun 21, 2024 | ₩3,600.00 | ₩3,850.00 | ₩3,600.00 | ₩3,780.00 | 1 700 296 |
Jun 20, 2024 | ₩3,710.00 | ₩3,890.00 | ₩3,690.00 | ₩3,835.00 | 2 980 232 |
Jun 19, 2024 | ₩3,660.00 | ₩3,755.00 | ₩3,645.00 | ₩3,705.00 | 1 124 902 |
Jun 18, 2024 | ₩3,685.00 | ₩3,720.00 | ₩3,660.00 | ₩3,660.00 | 882 479 |
Jun 17, 2024 | ₩3,730.00 | ₩3,790.00 | ₩3,690.00 | ₩3,720.00 | 1 409 057 |
Jun 14, 2024 | ₩3,640.00 | ₩3,720.00 | ₩3,635.00 | ₩3,715.00 | 1 177 513 |
Jun 13, 2024 | ₩3,630.00 | ₩3,705.00 | ₩3,630.00 | ₩3,640.00 | 1 346 520 |
Jun 12, 2024 | ₩3,615.00 | ₩3,645.00 | ₩3,615.00 | ₩3,620.00 | 621 219 |
Jun 11, 2024 | ₩3,650.00 | ₩3,665.00 | ₩3,620.00 | ₩3,625.00 | 542 988 |
Jun 10, 2024 | ₩3,640.00 | ₩3,660.00 | ₩3,610.00 | ₩3,630.00 | 937 221 |
Jun 07, 2024 | ₩3,645.00 | ₩3,680.00 | ₩3,645.00 | ₩3,650.00 | 660 046 |
Jun 05, 2024 | ₩3,675.00 | ₩3,695.00 | ₩3,635.00 | ₩3,645.00 | 800 763 |
Jun 04, 2024 | ₩3,710.00 | ₩3,730.00 | ₩3,660.00 | ₩3,665.00 | 831 983 |
Jun 03, 2024 | ₩3,690.00 | ₩3,765.00 | ₩3,690.00 | ₩3,735.00 | 1 052 900 |
May 31, 2024 | ₩3,625.00 | ₩3,720.00 | ₩3,625.00 | ₩3,655.00 | 1 645 622 |
May 30, 2024 | ₩3,695.00 | ₩3,695.00 | ₩3,640.00 | ₩3,650.00 | 853 780 |
May 29, 2024 | ₩3,720.00 | ₩3,755.00 | ₩3,685.00 | ₩3,705.00 | 1 222 773 |
May 28, 2024 | ₩3,715.00 | ₩3,740.00 | ₩3,675.00 | ₩3,725.00 | 942 085 |
May 27, 2024 | ₩3,635.00 | ₩3,720.00 | ₩3,635.00 | ₩3,715.00 | 968 236 |
May 24, 2024 | ₩3,635.00 | ₩3,640.00 | ₩3,600.00 | ₩3,625.00 | 887 129 |
May 23, 2024 | ₩3,660.00 | ₩3,695.00 | ₩3,650.00 | ₩3,655.00 | 704 434 |
May 22, 2024 | ₩3,670.00 | ₩3,720.00 | ₩3,640.00 | ₩3,695.00 | 611 160 |
May 21, 2024 | ₩3,705.00 | ₩3,725.00 | ₩3,655.00 | ₩3,660.00 | 948 914 |
May 20, 2024 | ₩3,700.00 | ₩3,750.00 | ₩3,695.00 | ₩3,725.00 | 657 490 |
May 17, 2024 | ₩3,750.00 | ₩3,755.00 | ₩3,700.00 | ₩3,705.00 | 897 493 |
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 047040.KS stock historical prices to predict future price movements?
Trend Analysis: Examine the 047040.KS 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 047040.KS 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.