KSE:192650
DREAMTECH Co., Ltd. Stock Price (Quote)
₩9,900.00
-320.00 (-3.13%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₩8,950.00 | ₩10,910.00 | Friday, 17th May 2024 192650.KS stock ended at ₩9,900.00. This is 3.13% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 4.04% from a day low at ₩9,890.00 to a day high of ₩10,290.00. |
90 days | ₩8,950.00 | ₩11,690.00 | |
52 weeks | ₩8,660.00 | ₩14,500.00 |
Date | Open | High | Low | Close | Volume |
May 17, 2024 | ₩10,190.00 | ₩10,290.00 | ₩9,890.00 | ₩9,900.00 | 466 733 |
May 16, 2024 | ₩9,950.00 | ₩10,910.00 | ₩9,660.00 | ₩10,220.00 | 1 496 373 |
May 14, 2024 | ₩9,890.00 | ₩10,020.00 | ₩9,890.00 | ₩9,900.00 | 290 808 |
May 13, 2024 | ₩10,160.00 | ₩10,170.00 | ₩9,880.00 | ₩9,960.00 | 211 624 |
May 10, 2024 | ₩10,270.00 | ₩10,290.00 | ₩10,070.00 | ₩10,150.00 | 198 654 |
May 09, 2024 | ₩10,210.00 | ₩10,310.00 | ₩10,160.00 | ₩10,240.00 | 180 896 |
May 08, 2024 | ₩10,190.00 | ₩10,220.00 | ₩10,080.00 | ₩10,210.00 | 165 453 |
May 07, 2024 | ₩10,200.00 | ₩10,260.00 | ₩10,060.00 | ₩10,140.00 | 275 747 |
May 03, 2024 | ₩10,080.00 | ₩10,230.00 | ₩9,930.00 | ₩10,130.00 | 315 573 |
May 02, 2024 | ₩9,440.00 | ₩10,190.00 | ₩9,410.00 | ₩10,030.00 | 997 245 |
Apr 30, 2024 | ₩9,430.00 | ₩9,600.00 | ₩9,300.00 | ₩9,450.00 | 458 689 |
Apr 29, 2024 | ₩9,210.00 | ₩9,430.00 | ₩9,190.00 | ₩9,430.00 | 261 236 |
Apr 26, 2024 | ₩9,090.00 | ₩9,300.00 | ₩9,090.00 | ₩9,130.00 | 245 517 |
Apr 25, 2024 | ₩9,060.00 | ₩9,140.00 | ₩9,010.00 | ₩9,090.00 | 212 748 |
Apr 24, 2024 | ₩9,020.00 | ₩9,210.00 | ₩9,000.00 | ₩9,140.00 | 236 718 |
Apr 23, 2024 | ₩9,140.00 | ₩9,230.00 | ₩8,950.00 | ₩9,000.00 | 299 553 |
Apr 22, 2024 | ₩9,140.00 | ₩9,190.00 | ₩9,000.00 | ₩9,090.00 | 337 435 |
Apr 19, 2024 | ₩9,440.00 | ₩9,460.00 | ₩8,950.00 | ₩9,140.00 | 381 211 |
Apr 18, 2024 | ₩9,220.00 | ₩9,490.00 | ₩9,190.00 | ₩9,470.00 | 293 594 |
Apr 17, 2024 | ₩9,350.00 | ₩9,500.00 | ₩9,140.00 | ₩9,290.00 | 435 073 |
Apr 16, 2024 | ₩9,550.00 | ₩9,550.00 | ₩9,290.00 | ₩9,350.00 | 338 067 |
Apr 15, 2024 | ₩9,620.00 | ₩9,620.00 | ₩9,400.00 | ₩9,550.00 | 288 264 |
Apr 12, 2024 | ₩9,770.00 | ₩9,860.00 | ₩9,610.00 | ₩9,690.00 | 302 213 |
Apr 11, 2024 | ₩9,820.00 | ₩9,840.00 | ₩9,630.00 | ₩9,740.00 | 336 951 |
Apr 09, 2024 | ₩9,990.00 | ₩10,020.00 | ₩9,850.00 | ₩9,850.00 | 316 536 |
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 192650.KS stock historical prices to predict future price movements?
Trend Analysis: Examine the 192650.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 192650.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.