Samsung Kodex Ultra Treasury Bond Stock Price (Quote)
₩7,985.00
-85.00 (-1.05%)
At Close: Jun 27, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₩7,595.00 | ₩8,145.00 | Thursday, 27th Jun 2024 304660.KS stock ended at ₩7,985.00. This is 1.05% less than the trading day before Wednesday, 26th Jun 2024. During the day the stock fluctuated 0.377% from a day low at ₩7,955.00 to a day high of ₩7,985.00. |
90 days | ₩7,490.00 | ₩8,150.00 | |
52 weeks | ₩7,025.00 | ₩8,840.00 |
Historical Samsung Kodex Ultra Treasury Bond Futures(H) ETF prices
Date | Open | High | Low | Close | Volume |
Jun 27, 2024 | ₩7,980.00 | ₩7,985.00 | ₩7,955.00 | ₩7,985.00 | 143 556 |
Jun 26, 2024 | ₩8,105.00 | ₩8,105.00 | ₩8,065.00 | ₩8,070.00 | 128 832 |
Jun 25, 2024 | ₩8,110.00 | ₩8,120.00 | ₩8,110.00 | ₩8,115.00 | 268 094 |
Jun 24, 2024 | ₩8,070.00 | ₩8,090.00 | ₩8,065.00 | ₩8,080.00 | 184 423 |
Jun 21, 2024 | ₩8,070.00 | ₩8,080.00 | ₩8,055.00 | ₩8,075.00 | 126 953 |
Jun 20, 2024 | ₩8,110.00 | ₩8,120.00 | ₩8,090.00 | ₩8,095.00 | 179 338 |
Jun 19, 2024 | ₩8,120.00 | ₩8,145.00 | ₩8,110.00 | ₩8,145.00 | 506 834 |
Jun 18, 2024 | ₩8,070.00 | ₩8,085.00 | ₩8,050.00 | ₩8,085.00 | 294 954 |
Jun 17, 2024 | ₩8,095.00 | ₩8,110.00 | ₩8,085.00 | ₩8,110.00 | 262 666 |
Jun 14, 2024 | ₩8,050.00 | ₩8,075.00 | ₩8,030.00 | ₩8,075.00 | 451 147 |
Jun 13, 2024 | ₩7,975.00 | ₩7,975.00 | ₩7,940.00 | ₩7,960.00 | 446 746 |
Jun 12, 2024 | ₩7,885.00 | ₩7,910.00 | ₩7,875.00 | ₩7,910.00 | 198 856 |
Jun 11, 2024 | ₩7,815.00 | ₩7,835.00 | ₩7,805.00 | ₩7,830.00 | 125 899 |
Jun 10, 2024 | ₩7,840.00 | ₩7,850.00 | ₩7,830.00 | ₩7,835.00 | 320 663 |
Jun 07, 2024 | ₩7,995.00 | ₩8,005.00 | ₩7,985.00 | ₩8,005.00 | 295 897 |
Jun 05, 2024 | ₩7,950.00 | ₩7,955.00 | ₩7,935.00 | ₩7,945.00 | 276 440 |
Jun 04, 2024 | ₩7,860.00 | ₩7,865.00 | ₩7,845.00 | ₩7,850.00 | 131 727 |
Jun 03, 2024 | ₩7,735.00 | ₩7,760.00 | ₩7,735.00 | ₩7,755.00 | 115 711 |
May 31, 2024 | ₩7,685.00 | ₩7,700.00 | ₩7,675.00 | ₩7,690.00 | 122 270 |
May 30, 2024 | ₩7,605.00 | ₩7,635.00 | ₩7,595.00 | ₩7,635.00 | 171 161 |
May 29, 2024 | ₩7,710.00 | ₩7,715.00 | ₩7,675.00 | ₩7,690.00 | 383 255 |
May 28, 2024 | ₩7,825.00 | ₩7,830.00 | ₩7,805.00 | ₩7,830.00 | 246 623 |
May 27, 2024 | ₩7,815.00 | ₩7,860.00 | ₩7,815.00 | ₩7,825.00 | 543 655 |
May 24, 2024 | ₩7,810.00 | ₩7,820.00 | ₩7,800.00 | ₩7,810.00 | 102 012 |
May 23, 2024 | ₩7,850.00 | ₩7,860.00 | ₩7,835.00 | ₩7,855.00 | 79 583 |
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 304660.KS stock historical prices to predict future price movements?
Trend Analysis: Examine the 304660.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 304660.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.