KSE:252710
Mirae Asset Tiger 200 Futures Inverse 2x Etf Stock Price (Quote)
Buy 252710
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₩792.00
+48.00 (+6.45%)
At Close: Nov 18, 2025
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ₩697.00 | ₩929.00 | Tuesday, 18th Nov 2025 252710.KS stock ended at ₩792.00. This is 6.45% more than the trading day before Monday, 17th Nov 2025. During the day the stock fluctuated 5.87% from a day low at ₩749.00 to a day high of ₩793.00. |
| 90 days | ₩697.00 | ₩1,475.00 | |
| 52 weeks | ₩697.00 | ₩2,905.00 |
Historical Mirae Asset Tiger 200 Futures Inverse 2X ETF prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Nov 18, 2025 | ₩762.00 | ₩793.00 | ₩749.00 | ₩792.00 | 16 100 098 |
| Nov 17, 2025 | ₩758.00 | ₩760.00 | ₩736.00 | ₩744.00 | 11 193 833 |
| Nov 14, 2025 | ₩750.00 | ₩774.00 | ₩746.00 | ₩773.00 | 12 782 358 |
| Nov 13, 2025 | ₩727.00 | ₩731.00 | ₩706.00 | ₩710.00 | 10 019 537 |
| Nov 12, 2025 | ₩734.00 | ₩744.00 | ₩716.00 | ₩720.00 | 12 980 009 |
| Nov 11, 2025 | ₩729.00 | ₩748.00 | ₩700.00 | ₩735.00 | 21 089 304 |
| Nov 10, 2025 | ₩780.00 | ₩786.00 | ₩740.00 | ₩748.00 | 16 717 252 |
| Nov 07, 2025 | ₩804.00 | ₩823.00 | ₩766.00 | ₩797.00 | 32 076 065 |
| Nov 06, 2025 | ₩740.00 | ₩789.00 | ₩733.00 | ₩770.00 | 19 967 875 |
| Nov 05, 2025 | ₩761.00 | ₩833.00 | ₩760.00 | ₩778.00 | 42 602 948 |
| Nov 04, 2025 | ₩700.00 | ₩738.00 | ₩697.00 | ₩737.00 | 14 752 663 |
| Nov 03, 2025 | ₩740.00 | ₩745.00 | ₩698.00 | ₩698.00 | 15 670 182 |
| Oct 31, 2025 | ₩760.00 | ₩771.00 | ₩743.00 | ₩745.00 | 10 454 449 |
| Oct 30, 2025 | ₩755.00 | ₩767.00 | ₩739.00 | ₩764.00 | 16 094 394 |
| Oct 29, 2025 | ₩780.00 | ₩803.00 | ₩767.00 | ₩767.00 | 12 360 016 |
| Oct 28, 2025 | ₩796.00 | ₩816.00 | ₩796.00 | ₩800.00 | 7 632 490 |
| Oct 27, 2025 | ₩805.00 | ₩806.00 | ₩784.00 | ₩786.00 | 10 681 720 |
| Oct 24, 2025 | ₩849.00 | ₩859.00 | ₩828.00 | ₩830.00 | 10 542 892 |
| Oct 23, 2025 | ₩881.00 | ₩890.00 | ₩849.00 | ₩875.00 | 8 037 817 |
| Oct 22, 2025 | ₩880.00 | ₩900.00 | ₩858.00 | ₩859.00 | 6 453 051 |
| Oct 21, 2025 | ₩866.00 | ₩884.00 | ₩842.00 | ₩879.00 | 8 320 657 |
| Oct 20, 2025 | ₩896.00 | ₩929.00 | ₩882.00 | ₩885.00 | 8 608 958 |
| Oct 17, 2025 | ₩936.00 | ₩936.00 | ₩891.00 | ₩918.00 | 11 605 282 |
| Oct 16, 2025 | ₩971.00 | ₩971.00 | ₩924.00 | ₩924.00 | 8 300 250 |
| Oct 15, 2025 | ₩1,014.00 | ₩1,020.00 | ₩972.00 | ₩973.00 | 8 201 759 |
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 252710.KS stock historical prices to predict future price movements?
Trend Analysis: Examine the 252710.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 252710.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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