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 |
Feb 07, 2024 | ₩1,622.00 | ₩1,676.00 | ₩1,622.00 | ₩1,665.00 | 1 147 624 |
Feb 06, 2024 | ₩1,706.00 | ₩1,716.00 | ₩1,632.00 | ₩1,632.00 | 2 216 166 |
Feb 05, 2024 | ₩1,719.00 | ₩1,734.00 | ₩1,711.00 | ₩1,711.00 | 768 586 |
Feb 02, 2024 | ₩1,726.00 | ₩1,750.00 | ₩1,712.00 | ₩1,719.00 | 1 119 207 |
Feb 01, 2024 | ₩1,740.00 | ₩1,750.00 | ₩1,713.00 | ₩1,717.00 | 869 778 |
Jan 31, 2024 | ₩1,796.00 | ₩1,803.00 | ₩1,745.00 | ₩1,745.00 | 1 290 790 |
Jan 30, 2024 | ₩1,825.00 | ₩1,854.00 | ₩1,789.00 | ₩1,797.00 | 1 416 620 |
Jan 29, 2024 | ₩1,779.00 | ₩1,909.00 | ₩1,779.00 | ₩1,822.00 | 4 974 104 |
Jan 26, 2024 | ₩1,778.00 | ₩1,810.00 | ₩1,776.00 | ₩1,779.00 | 781 790 |
Jan 25, 2024 | ₩1,835.00 | ₩1,835.00 | ₩1,769.00 | ₩1,778.00 | 1 166 183 |
Jan 24, 2024 | ₩1,873.00 | ₩1,890.00 | ₩1,831.00 | ₩1,837.00 | 1 071 727 |
Jan 23, 2024 | ₩1,870.00 | ₩1,890.00 | ₩1,835.00 | ₩1,871.00 | 1 767 152 |
Jan 22, 2024 | ₩1,802.00 | ₩1,858.00 | ₩1,771.00 | ₩1,852.00 | 2 444 965 |
Jan 19, 2024 | ₩1,770.00 | ₩1,839.00 | ₩1,770.00 | ₩1,780.00 | 1 722 352 |
Jan 18, 2024 | ₩1,739.00 | ₩1,788.00 | ₩1,739.00 | ₩1,756.00 | 966 248 |
Jan 17, 2024 | ₩1,829.00 | ₩1,830.00 | ₩1,744.00 | ₩1,749.00 | 1 818 129 |
Jan 16, 2024 | ₩1,747.00 | ₩1,847.00 | ₩1,747.00 | ₩1,825.00 | 4 393 808 |
Jan 15, 2024 | ₩1,852.00 | ₩1,862.00 | ₩1,708.00 | ₩1,740.00 | 4 413 491 |
Jan 12, 2024 | ₩1,903.00 | ₩1,914.00 | ₩1,853.00 | ₩1,858.00 | 1 943 066 |
Jan 11, 2024 | ₩1,915.00 | ₩1,920.00 | ₩1,900.00 | ₩1,906.00 | 803 476 |
Jan 10, 2024 | ₩1,940.00 | ₩1,940.00 | ₩1,895.00 | ₩1,903.00 | 1 377 364 |
Jan 09, 2024 | ₩1,923.00 | ₩1,961.00 | ₩1,922.00 | ₩1,939.00 | 1 288 252 |
Jan 08, 2024 | ₩1,950.00 | ₩1,950.00 | ₩1,920.00 | ₩1,922.00 | 1 031 568 |
Jan 05, 2024 | ₩1,905.00 | ₩1,980.00 | ₩1,899.00 | ₩1,939.00 | 1 992 035 |
Jan 04, 2024 | ₩1,953.00 | ₩1,954.00 | ₩1,891.00 | ₩1,897.00 | 1 594 926 |
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.