KOSDAQ:214150
Classys Inc. Stock Price (Quote)
₩51,200.00
-700.00 (-1.35%)
At Close: Jun 26, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₩45,650.00 | ₩56,900.00 | Wednesday, 26th Jun 2024 214150.KQ stock ended at ₩51,200.00. This is 1.35% less than the trading day before Tuesday, 25th Jun 2024. During the day the stock fluctuated 7.81% from a day low at ₩51,200.00 to a day high of ₩55,200.00. |
90 days | ₩45,650.00 | ₩56,900.00 | |
52 weeks | ₩45,650.00 | ₩56,900.00 |
Historical Classys Inc. prices
Date | Open | High | Low | Close | Volume |
Jun 26, 2024 | ₩53,100.00 | ₩55,200.00 | ₩51,200.00 | ₩51,200.00 | 254 212 |
Jun 25, 2024 | ₩52,900.00 | ₩53,000.00 | ₩51,400.00 | ₩51,900.00 | 118 777 |
Jun 24, 2024 | ₩54,800.00 | ₩55,400.00 | ₩52,400.00 | ₩52,900.00 | 201 685 |
Jun 21, 2024 | ₩52,500.00 | ₩54,600.00 | ₩52,100.00 | ₩54,600.00 | 216 012 |
Jun 20, 2024 | ₩55,100.00 | ₩55,400.00 | ₩53,000.00 | ₩53,200.00 | 190 524 |
Jun 19, 2024 | ₩51,800.00 | ₩56,900.00 | ₩51,400.00 | ₩55,300.00 | 733 435 |
Jun 18, 2024 | ₩50,700.00 | ₩51,900.00 | ₩50,300.00 | ₩51,800.00 | 212 777 |
Jun 17, 2024 | ₩52,900.00 | ₩53,000.00 | ₩50,200.00 | ₩50,600.00 | 301 727 |
Jun 14, 2024 | ₩55,400.00 | ₩56,000.00 | ₩52,500.00 | ₩52,600.00 | 460 176 |
Jun 13, 2024 | ₩53,800.00 | ₩55,000.00 | ₩52,600.00 | ₩54,300.00 | 579 664 |
Jun 12, 2024 | ₩48,700.00 | ₩54,300.00 | ₩48,350.00 | ₩53,800.00 | 1 438 592 |
Jun 11, 2024 | ₩47,100.00 | ₩48,350.00 | ₩46,100.00 | ₩48,050.00 | 233 548 |
Jun 10, 2024 | ₩46,750.00 | ₩48,700.00 | ₩46,700.00 | ₩47,400.00 | 286 671 |
Jun 07, 2024 | ₩47,050.00 | ₩47,200.00 | ₩45,650.00 | ₩46,300.00 | 217 707 |
Jun 05, 2024 | ₩47,550.00 | ₩48,000.00 | ₩45,800.00 | ₩47,000.00 | 253 263 |
Jun 04, 2024 | ₩48,750.00 | ₩49,700.00 | ₩47,550.00 | ₩47,550.00 | 241 729 |
Jun 03, 2024 | ₩50,300.00 | ₩50,500.00 | ₩47,800.00 | ₩48,500.00 | 258 026 |
May 31, 2024 | ₩48,000.00 | ₩49,900.00 | ₩47,900.00 | ₩49,450.00 | 393 172 |
May 30, 2024 | ₩47,250.00 | ₩48,200.00 | ₩46,700.00 | ₩48,000.00 | 238 438 |
May 29, 2024 | ₩50,200.00 | ₩50,500.00 | ₩46,050.00 | ₩47,650.00 | 461 989 |
May 28, 2024 | ₩49,500.00 | ₩51,300.00 | ₩49,000.00 | ₩49,500.00 | 363 532 |
May 27, 2024 | ₩49,500.00 | ₩49,950.00 | ₩48,400.00 | ₩49,000.00 | 231 112 |
May 24, 2024 | ₩48,050.00 | ₩50,800.00 | ₩48,050.00 | ₩48,850.00 | 340 061 |
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 214150.KQ stock historical prices to predict future price movements?
Trend Analysis: Examine the 214150.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 214150.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.