KSE:372330
Samsung KODEX Energy & Chemicals Stock Price (Quote)
₩6,145.00
+45.00 (+0.738%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₩4,945.00 | ₩6,230.00 | Friday, 17th May 2024 372330.KS stock ended at ₩6,145.00. This is 0.738% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 2.13% from a day low at ₩6,100.00 to a day high of ₩6,230.00. |
90 days | ₩4,725.00 | ₩6,230.00 | |
52 weeks | ₩4,410.00 | ₩6,625.00 |
Date | Open | High | Low | Close | Volume |
May 17, 2024 | ₩6,145.00 | ₩6,230.00 | ₩6,100.00 | ₩6,145.00 | 452 021 |
May 16, 2024 | ₩6,140.00 | ₩6,180.00 | ₩6,015.00 | ₩6,100.00 | 773 361 |
May 14, 2024 | ₩6,115.00 | ₩6,210.00 | ₩6,115.00 | ₩6,145.00 | 561 874 |
May 13, 2024 | ₩6,000.00 | ₩6,095.00 | ₩5,915.00 | ₩6,045.00 | 280 173 |
May 10, 2024 | ₩5,995.00 | ₩6,050.00 | ₩5,900.00 | ₩5,980.00 | 534 765 |
May 09, 2024 | ₩5,835.00 | ₩5,980.00 | ₩5,830.00 | ₩5,980.00 | 221 730 |
May 08, 2024 | ₩5,900.00 | ₩5,985.00 | ₩5,825.00 | ₩5,860.00 | 1 114 859 |
May 07, 2024 | ₩5,995.00 | ₩6,010.00 | ₩5,880.00 | ₩5,890.00 | 301 928 |
May 03, 2024 | ₩6,000.00 | ₩6,070.00 | ₩5,910.00 | ₩5,985.00 | 482 580 |
May 02, 2024 | ₩5,550.00 | ₩5,875.00 | ₩5,550.00 | ₩5,860.00 | 756 397 |
Apr 30, 2024 | ₩5,745.00 | ₩5,745.00 | ₩5,605.00 | ₩5,655.00 | 231 860 |
Apr 29, 2024 | ₩5,640.00 | ₩5,790.00 | ₩5,630.00 | ₩5,690.00 | 434 484 |
Apr 26, 2024 | ₩5,395.00 | ₩5,670.00 | ₩5,390.00 | ₩5,640.00 | 537 256 |
Apr 25, 2024 | ₩5,375.00 | ₩5,480.00 | ₩5,355.00 | ₩5,360.00 | 431 638 |
Apr 24, 2024 | ₩5,240.00 | ₩5,375.00 | ₩5,240.00 | ₩5,370.00 | 539 084 |
Apr 23, 2024 | ₩5,140.00 | ₩5,240.00 | ₩5,125.00 | ₩5,225.00 | 185 821 |
Apr 22, 2024 | ₩5,000.00 | ₩5,130.00 | ₩5,000.00 | ₩5,080.00 | 315 700 |
Apr 19, 2024 | ₩5,120.00 | ₩5,130.00 | ₩4,945.00 | ₩4,990.00 | 248 225 |
Apr 18, 2024 | ₩5,080.00 | ₩5,135.00 | ₩5,025.00 | ₩5,110.00 | 281 068 |
Apr 17, 2024 | ₩5,190.00 | ₩5,190.00 | ₩5,055.00 | ₩5,090.00 | 201 067 |
Apr 16, 2024 | ₩5,240.00 | ₩5,240.00 | ₩5,115.00 | ₩5,130.00 | 365 628 |
Apr 15, 2024 | ₩5,270.00 | ₩5,270.00 | ₩5,160.00 | ₩5,240.00 | 306 663 |
Apr 12, 2024 | ₩5,325.00 | ₩5,370.00 | ₩5,265.00 | ₩5,295.00 | 461 856 |
Apr 11, 2024 | ₩5,230.00 | ₩5,330.00 | ₩5,215.00 | ₩5,325.00 | 293 304 |
Apr 09, 2024 | ₩5,180.00 | ₩5,235.00 | ₩5,160.00 | ₩5,220.00 | 168 345 |
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 372330.KS stock historical prices to predict future price movements?
Trend Analysis: Examine the 372330.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 372330.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.