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 |
Dec 20, 2021 | ₩4,550.00 | ₩4,637.50 | ₩4,437.50 | ₩4,500.00 | 12 700 152 |
Dec 17, 2021 | ₩4,750.00 | ₩4,787.50 | ₩4,400.00 | ₩4,412.50 | 12 477 196 |
Dec 16, 2021 | ₩4,475.00 | ₩4,637.50 | ₩4,425.00 | ₩4,625.00 | 13 112 564 |
Dec 15, 2021 | ₩4,500.00 | ₩4,537.50 | ₩4,400.00 | ₩4,450.00 | 5 639 492 |
Dec 14, 2021 | ₩4,562.50 | ₩4,562.50 | ₩4,450.00 | ₩4,487.50 | 5 636 904 |
Dec 13, 2021 | ₩4,375.00 | ₩4,537.50 | ₩4,300.00 | ₩4,462.50 | 7 804 188 |
Dec 10, 2021 | ₩4,462.50 | ₩4,525.00 | ₩4,325.00 | ₩4,350.00 | 6 446 768 |
Dec 09, 2021 | ₩4,400.00 | ₩4,475.00 | ₩4,375.00 | ₩4,412.50 | 4 905 296 |
Dec 08, 2021 | ₩4,450.00 | ₩4,575.00 | ₩4,337.50 | ₩4,525.00 | 14 986 212 |
Dec 07, 2021 | ₩4,287.50 | ₩4,425.00 | ₩4,225.00 | ₩4,387.50 | 7 030 188 |
Dec 06, 2021 | ₩4,462.50 | ₩4,637.50 | ₩4,362.50 | ₩4,375.00 | 11 053 932 |
Dec 03, 2021 | ₩4,562.50 | ₩4,575.00 | ₩4,325.00 | ₩4,462.50 | 10 586 740 |
Dec 02, 2021 | ₩4,800.00 | ₩4,862.50 | ₩4,475.00 | ₩4,500.00 | 16 602 276 |
Dec 01, 2021 | ₩4,812.50 | ₩5,137.50 | ₩4,575.00 | ₩4,575.00 | 30 470 584 |
Nov 30, 2021 | ₩4,675.00 | ₩4,887.50 | ₩4,462.50 | ₩4,825.00 | 31 348 404 |
Nov 29, 2021 | ₩5,175.00 | ₩5,325.00 | ₩4,775.00 | ₩4,912.50 | 55 084 680 |
Nov 26, 2021 | ₩4,462.50 | ₩4,925.00 | ₩4,325.00 | ₩4,650.00 | 67 752 240 |
Nov 25, 2021 | ₩4,212.50 | ₩4,337.50 | ₩4,125.00 | ₩4,287.50 | 9 985 972 |
Nov 24, 2021 | ₩4,037.50 | ₩4,437.50 | ₩4,012.50 | ₩4,187.50 | 32 329 188 |
Nov 23, 2021 | ₩4,137.50 | ₩4,150.00 | ₩3,937.50 | ₩3,937.50 | 3 744 748 |
Nov 22, 2021 | ₩4,162.50 | ₩4,287.50 | ₩4,125.00 | ₩4,150.00 | 5 996 844 |
Nov 19, 2021 | ₩4,162.50 | ₩4,237.50 | ₩3,962.50 | ₩4,137.50 | 5 781 008 |
Nov 18, 2021 | ₩4,275.00 | ₩4,275.00 | ₩4,087.50 | ₩4,112.50 | 4 327 440 |
Nov 17, 2021 | ₩4,337.50 | ₩4,387.50 | ₩4,150.00 | ₩4,237.50 | 9 778 384 |
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.