KSE:035150
BAIKSAN Co,. Ltd Stock Price (Quote)
₩13,570.00
-310.00 (-2.23%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₩13,000.00 | ₩15,200.00 | Friday, 31st May 2024 035150.KS stock ended at ₩13,570.00. This is 2.23% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 3.39% from a day low at ₩13,570.00 to a day high of ₩14,030.00. |
90 days | ₩10,540.00 | ₩15,200.00 | |
52 weeks | ₩7,250.00 | ₩15,200.00 |
Historical BAIKSAN Co,. Ltd prices
Date | Open | High | Low | Close | Volume |
Jan 28, 2022 | ₩8,400.00 | ₩8,720.00 | ₩8,260.00 | ₩8,640.00 | 240 980 |
Jan 27, 2022 | ₩9,000.00 | ₩9,000.00 | ₩8,390.00 | ₩8,400.00 | 277 459 |
Jan 26, 2022 | ₩8,950.00 | ₩8,950.00 | ₩8,950.00 | ₩8,950.00 | 0 |
Jan 25, 2022 | ₩9,760.00 | ₩9,760.00 | ₩8,620.00 | ₩8,950.00 | 816 314 |
Jan 24, 2022 | ₩9,590.00 | ₩9,710.00 | ₩9,320.00 | ₩9,530.00 | 291 620 |
Jan 21, 2022 | ₩9,630.00 | ₩9,740.00 | ₩9,420.00 | ₩9,690.00 | 227 198 |
Jan 20, 2022 | ₩9,250.00 | ₩9,730.00 | ₩9,250.00 | ₩9,700.00 | 304 167 |
Jan 19, 2022 | ₩9,450.00 | ₩9,650.00 | ₩9,200.00 | ₩9,330.00 | 269 085 |
Jan 18, 2022 | ₩10,050.00 | ₩10,250.00 | ₩9,170.00 | ₩9,600.00 | 1 168 873 |
Jan 17, 2022 | ₩10,250.00 | ₩10,450.00 | ₩9,990.00 | ₩10,150.00 | 309 498 |
Jan 14, 2022 | ₩9,790.00 | ₩10,350.00 | ₩9,700.00 | ₩10,200.00 | 440 021 |
Jan 13, 2022 | ₩9,950.00 | ₩10,150.00 | ₩9,810.00 | ₩9,920.00 | 350 898 |
Jan 12, 2022 | ₩9,540.00 | ₩10,150.00 | ₩9,510.00 | ₩9,950.00 | 872 833 |
Jan 11, 2022 | ₩9,430.00 | ₩9,810.00 | ₩9,290.00 | ₩9,550.00 | 498 854 |
Jan 10, 2022 | ₩9,560.00 | ₩9,590.00 | ₩9,270.00 | ₩9,500.00 | 244 369 |
Jan 07, 2022 | ₩9,370.00 | ₩9,850.00 | ₩9,370.00 | ₩9,500.00 | 859 524 |
Jan 06, 2022 | ₩9,190.00 | ₩9,480.00 | ₩9,080.00 | ₩9,260.00 | 656 544 |
Jan 05, 2022 | ₩9,800.00 | ₩9,840.00 | ₩9,300.00 | ₩9,300.00 | 861 069 |
Jan 04, 2022 | ₩9,170.00 | ₩9,970.00 | ₩9,100.00 | ₩9,830.00 | 2 118 881 |
Dec 30, 2021 | ₩8,080.00 | ₩8,290.00 | ₩7,980.00 | ₩8,230.00 | 138 576 |
Dec 29, 2021 | ₩8,100.00 | ₩8,180.00 | ₩8,060.00 | ₩8,120.00 | 66 661 |
Dec 28, 2021 | ₩8,290.00 | ₩8,310.00 | ₩8,050.00 | ₩8,120.00 | 163 907 |
Dec 27, 2021 | ₩8,040.00 | ₩8,330.00 | ₩7,910.00 | ₩8,240.00 | 203 981 |
Dec 24, 2021 | ₩7,850.00 | ₩8,110.00 | ₩7,850.00 | ₩8,040.00 | 134 150 |
Dec 23, 2021 | ₩7,770.00 | ₩7,910.00 | ₩7,720.00 | ₩7,870.00 | 115 450 |
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 035150.KS stock historical prices to predict future price movements?
Trend Analysis: Examine the 035150.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 035150.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.