₩3,755.00
-135.00 (-3.47%)
At Close: Nov 18, 2025
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ₩3,735.00 | ₩4,320.00 | Tuesday, 18th Nov 2025 117700.KS stock ended at ₩3,755.00. This is 3.47% less than the trading day before Monday, 17th Nov 2025. During the day the stock fluctuated 3.88% from a day low at ₩3,735.00 to a day high of ₩3,880.00. |
| 90 days | ₩3,735.00 | ₩4,320.00 | |
| 52 weeks | ₩2,615.00 | ₩4,665.00 |
Historical KODEX Constructions prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Nov 18, 2025 | ₩3,870.00 | ₩3,880.00 | ₩3,735.00 | ₩3,755.00 | 253 293 |
| Nov 17, 2025 | ₩3,870.00 | ₩3,895.00 | ₩3,825.00 | ₩3,890.00 | 197 562 |
| Nov 14, 2025 | ₩3,875.00 | ₩3,940.00 | ₩3,840.00 | ₩3,870.00 | 222 545 |
| Nov 13, 2025 | ₩3,900.00 | ₩3,960.00 | ₩3,885.00 | ₩3,960.00 | 250 982 |
| Nov 12, 2025 | ₩3,895.00 | ₩3,925.00 | ₩3,875.00 | ₩3,895.00 | 329 309 |
| Nov 11, 2025 | ₩3,920.00 | ₩3,950.00 | ₩3,865.00 | ₩3,900.00 | 245 530 |
| Nov 10, 2025 | ₩3,825.00 | ₩3,900.00 | ₩3,805.00 | ₩3,900.00 | 224 471 |
| Nov 07, 2025 | ₩3,870.00 | ₩3,900.00 | ₩3,755.00 | ₩3,825.00 | 387 395 |
| Nov 06, 2025 | ₩3,940.00 | ₩3,975.00 | ₩3,820.00 | ₩3,905.00 | 249 394 |
| Nov 05, 2025 | ₩3,990.00 | ₩4,010.00 | ₩3,815.00 | ₩3,900.00 | 485 755 |
| Nov 04, 2025 | ₩4,010.00 | ₩4,060.00 | ₩3,990.00 | ₩4,025.00 | 333 165 |
| Nov 03, 2025 | ₩4,065.00 | ₩4,070.00 | ₩4,005.00 | ₩4,050.00 | 486 191 |
| Oct 31, 2025 | ₩4,110.00 | ₩4,125.00 | ₩4,035.00 | ₩4,080.00 | 513 610 |
| Oct 30, 2025 | ₩4,200.00 | ₩4,230.00 | ₩4,095.00 | ₩4,110.00 | 447 913 |
| Oct 29, 2025 | ₩4,280.00 | ₩4,315.00 | ₩4,205.00 | ₩4,255.00 | 794 414 |
| Oct 28, 2025 | ₩4,195.00 | ₩4,225.00 | ₩4,125.00 | ₩4,160.00 | 416 810 |
| Oct 27, 2025 | ₩4,285.00 | ₩4,320.00 | ₩4,170.00 | ₩4,200.00 | 1 107 397 |
| Oct 24, 2025 | ₩4,090.00 | ₩4,205.00 | ₩4,020.00 | ₩4,185.00 | 639 860 |
| Oct 23, 2025 | ₩3,985.00 | ₩4,105.00 | ₩3,940.00 | ₩4,065.00 | 369 300 |
| Oct 22, 2025 | ₩3,980.00 | ₩4,035.00 | ₩3,915.00 | ₩4,035.00 | 782 057 |
| Oct 21, 2025 | ₩3,960.00 | ₩4,060.00 | ₩3,960.00 | ₩3,995.00 | 1 092 037 |
| Oct 20, 2025 | ₩3,915.00 | ₩3,925.00 | ₩3,860.00 | ₩3,905.00 | 421 357 |
| Oct 17, 2025 | ₩3,985.00 | ₩3,990.00 | ₩3,885.00 | ₩3,910.00 | 490 684 |
| Oct 16, 2025 | ₩4,085.00 | ₩4,090.00 | ₩4,005.00 | ₩4,020.00 | 441 249 |
| Oct 15, 2025 | ₩3,915.00 | ₩4,070.00 | ₩3,900.00 | ₩4,060.00 | 657 792 |
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 117700.KS stock historical prices to predict future price movements?
Trend Analysis: Examine the 117700.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 117700.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.
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