Kodex Banks Stock Price (Quote)
₩8,070.00
+130.00 (+1.64%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₩7,740.00 | ₩8,455.00 | Friday, 31st May 2024 091170.KS stock ended at ₩8,070.00. This is 1.64% more than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 1.87% from a day low at ₩8,020.00 to a day high of ₩8,170.00. |
90 days | ₩7,400.00 | ₩8,860.00 | |
52 weeks | ₩5,650.00 | ₩8,860.00 |
Historical Kodex Banks prices
Date | Open | High | Low | Close | Volume |
May 31, 2024 | ₩8,040.00 | ₩8,170.00 | ₩8,020.00 | ₩8,070.00 | 843 230 |
May 30, 2024 | ₩7,970.00 | ₩8,060.00 | ₩7,925.00 | ₩7,940.00 | 452 562 |
May 29, 2024 | ₩7,880.00 | ₩8,055.00 | ₩7,880.00 | ₩7,980.00 | 633 423 |
May 28, 2024 | ₩7,965.00 | ₩8,005.00 | ₩7,920.00 | ₩7,980.00 | 319 408 |
May 27, 2024 | ₩8,010.00 | ₩8,110.00 | ₩7,965.00 | ₩8,020.00 | 619 580 |
May 24, 2024 | ₩7,950.00 | ₩8,035.00 | ₩7,890.00 | ₩8,000.00 | 459 488 |
May 23, 2024 | ₩8,075.00 | ₩8,125.00 | ₩7,990.00 | ₩8,050.00 | 596 815 |
May 22, 2024 | ₩8,310.00 | ₩8,310.00 | ₩8,160.00 | ₩8,170.00 | 699 797 |
May 21, 2024 | ₩8,255.00 | ₩8,330.00 | ₩8,230.00 | ₩8,295.00 | 305 601 |
May 20, 2024 | ₩8,255.00 | ₩8,455.00 | ₩8,245.00 | ₩8,330.00 | 680 613 |
May 17, 2024 | ₩8,210.00 | ₩8,250.00 | ₩8,160.00 | ₩8,185.00 | 347 145 |
May 16, 2024 | ₩8,115.00 | ₩8,390.00 | ₩8,115.00 | ₩8,275.00 | 2 116 358 |
May 14, 2024 | ₩8,200.00 | ₩8,230.00 | ₩8,095.00 | ₩8,120.00 | 1 003 701 |
May 13, 2024 | ₩8,170.00 | ₩8,410.00 | ₩8,170.00 | ₩8,260.00 | 991 767 |
May 10, 2024 | ₩8,085.00 | ₩8,265.00 | ₩8,040.00 | ₩8,165.00 | 934 083 |
May 09, 2024 | ₩8,100.00 | ₩8,115.00 | ₩7,950.00 | ₩7,980.00 | 617 911 |
May 08, 2024 | ₩7,935.00 | ₩8,150.00 | ₩7,935.00 | ₩8,120.00 | 805 209 |
May 07, 2024 | ₩7,920.00 | ₩8,005.00 | ₩7,815.00 | ₩7,900.00 | 783 067 |
May 03, 2024 | ₩7,825.00 | ₩7,945.00 | ₩7,825.00 | ₩7,885.00 | 485 709 |
May 02, 2024 | ₩7,860.00 | ₩7,870.00 | ₩7,740.00 | ₩7,765.00 | 731 164 |
Apr 30, 2024 | ₩8,020.00 | ₩8,050.00 | ₩7,900.00 | ₩7,975.00 | 607 296 |
Apr 29, 2024 | ₩7,950.00 | ₩8,105.00 | ₩7,910.00 | ₩8,025.00 | 997 142 |
Apr 26, 2024 | ₩8,070.00 | ₩8,435.00 | ₩8,065.00 | ₩8,335.00 | 1 531 576 |
Apr 25, 2024 | ₩7,865.00 | ₩8,050.00 | ₩7,840.00 | ₩7,965.00 | 844 495 |
Apr 24, 2024 | ₩8,080.00 | ₩8,140.00 | ₩7,915.00 | ₩7,930.00 | 900 371 |
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 091170.KS stock historical prices to predict future price movements?
Trend Analysis: Examine the 091170.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 091170.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.