KOSDAQ:205470
Humasis Co. Ltd. Stock Price (Quote)
₩1,799.00
+0 (+0%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₩1,785.00 | ₩2,170.00 | Friday, 31st May 2024 205470.KQ stock ended at ₩1,799.00. During the day the stock fluctuated 1.01% from a day low at ₩1,785.00 to a day high of ₩1,803.00. |
90 days | ₩1,633.00 | ₩2,195.00 | |
52 weeks | ₩1,622.00 | ₩3,470.00 |
Historical Humasis Co. Ltd. prices
Date | Open | High | Low | Close | Volume |
Mar 18, 2024 | ₩1,725.00 | ₩1,980.00 | ₩1,720.00 | ₩1,928.00 | 14 820 954 |
Mar 15, 2024 | ₩1,703.00 | ₩1,749.00 | ₩1,677.00 | ₩1,711.00 | 1 506 591 |
Mar 14, 2024 | ₩1,688.00 | ₩1,755.00 | ₩1,685.00 | ₩1,709.00 | 1 256 143 |
Mar 13, 2024 | ₩1,693.00 | ₩1,730.00 | ₩1,672.00 | ₩1,691.00 | 858 750 |
Mar 12, 2024 | ₩1,738.00 | ₩1,756.00 | ₩1,688.00 | ₩1,694.00 | 1 237 165 |
Mar 11, 2024 | ₩1,827.00 | ₩1,827.00 | ₩1,730.00 | ₩1,735.00 | 1 771 592 |
Mar 08, 2024 | ₩1,681.00 | ₩1,848.00 | ₩1,681.00 | ₩1,827.00 | 4 696 651 |
Mar 07, 2024 | ₩1,663.00 | ₩1,678.00 | ₩1,633.00 | ₩1,666.00 | 998 168 |
Mar 06, 2024 | ₩1,679.00 | ₩1,686.00 | ₩1,656.00 | ₩1,663.00 | 912 506 |
Mar 05, 2024 | ₩1,710.00 | ₩1,722.00 | ₩1,675.00 | ₩1,686.00 | 912 355 |
Mar 04, 2024 | ₩1,745.00 | ₩1,750.00 | ₩1,705.00 | ₩1,710.00 | 1 010 989 |
Feb 29, 2024 | ₩1,775.00 | ₩1,776.00 | ₩1,738.00 | ₩1,744.00 | 924 114 |
Feb 28, 2024 | ₩1,727.00 | ₩1,791.00 | ₩1,727.00 | ₩1,768.00 | 799 316 |
Feb 27, 2024 | ₩1,751.00 | ₩1,771.00 | ₩1,716.00 | ₩1,727.00 | 848 604 |
Feb 26, 2024 | ₩1,750.00 | ₩1,784.00 | ₩1,742.00 | ₩1,749.00 | 484 521 |
Feb 23, 2024 | ₩1,784.00 | ₩1,791.00 | ₩1,750.00 | ₩1,750.00 | 845 195 |
Feb 22, 2024 | ₩1,830.00 | ₩1,830.00 | ₩1,770.00 | ₩1,784.00 | 845 216 |
Feb 21, 2024 | ₩1,831.00 | ₩1,847.00 | ₩1,800.00 | ₩1,808.00 | 933 125 |
Feb 20, 2024 | ₩1,846.00 | ₩1,854.00 | ₩1,811.00 | ₩1,830.00 | 934 020 |
Feb 19, 2024 | ₩1,896.00 | ₩1,896.00 | ₩1,765.00 | ₩1,842.00 | 1 480 619 |
Feb 16, 2024 | ₩1,846.00 | ₩1,874.00 | ₩1,835.00 | ₩1,863.00 | 1 587 551 |
Feb 15, 2024 | ₩1,799.00 | ₩1,849.00 | ₩1,780.00 | ₩1,828.00 | 1 785 069 |
Feb 14, 2024 | ₩1,747.00 | ₩1,788.00 | ₩1,732.00 | ₩1,786.00 | 1 042 454 |
Feb 13, 2024 | ₩1,678.00 | ₩1,764.00 | ₩1,676.00 | ₩1,764.00 | 1 636 049 |
Feb 08, 2024 | ₩1,664.00 | ₩1,677.00 | ₩1,660.00 | ₩1,669.00 | 818 639 |
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 205470.KQ stock historical prices to predict future price movements?
Trend Analysis: Examine the 205470.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 205470.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.