KOSDAQ:036810
Fine Semitech Corp. Stock Price (Quote)
₩38,450.00
+0 (+0%)
At Close: Jun 28, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₩33,350.00 | ₩41,850.00 | Friday, 28th Jun 2024 036810.KQ stock ended at ₩38,450.00. During the day the stock fluctuated 2.63% from a day low at ₩38,000.00 to a day high of ₩39,000.00. |
90 days | ₩30,500.00 | ₩41,850.00 | |
52 weeks | ₩30,500.00 | ₩41,850.00 |
Historical Fine Semitech Corp. prices
Date | Open | High | Low | Close | Volume |
Jun 28, 2024 | ₩38,450.00 | ₩39,000.00 | ₩38,000.00 | ₩38,450.00 | 213 476 |
Jun 27, 2024 | ₩36,800.00 | ₩39,300.00 | ₩36,450.00 | ₩38,450.00 | 398 515 |
Jun 26, 2024 | ₩37,000.00 | ₩37,750.00 | ₩36,350.00 | ₩37,300.00 | 257 478 |
Jun 25, 2024 | ₩35,550.00 | ₩37,850.00 | ₩35,100.00 | ₩37,000.00 | 516 746 |
Jun 24, 2024 | ₩34,900.00 | ₩37,300.00 | ₩34,300.00 | ₩36,050.00 | 606 014 |
Jun 21, 2024 | ₩34,800.00 | ₩34,850.00 | ₩33,450.00 | ₩34,400.00 | 435 011 |
Jun 20, 2024 | ₩36,050.00 | ₩36,200.00 | ₩34,650.00 | ₩35,000.00 | 568 580 |
Jun 19, 2024 | ₩36,600.00 | ₩37,300.00 | ₩35,800.00 | ₩36,050.00 | 529 868 |
Jun 18, 2024 | ₩37,050.00 | ₩37,750.00 | ₩36,400.00 | ₩36,650.00 | 471 139 |
Jun 17, 2024 | ₩37,000.00 | ₩37,950.00 | ₩36,300.00 | ₩37,600.00 | 440 179 |
Jun 14, 2024 | ₩38,000.00 | ₩38,750.00 | ₩35,500.00 | ₩37,400.00 | 820 416 |
Jun 13, 2024 | ₩41,200.00 | ₩41,450.00 | ₩34,100.00 | ₩37,350.00 | 2 659 984 |
Jun 12, 2024 | ₩39,650.00 | ₩41,400.00 | ₩38,600.00 | ₩40,600.00 | 594 196 |
Jun 11, 2024 | ₩40,300.00 | ₩41,850.00 | ₩39,000.00 | ₩40,200.00 | 931 636 |
Jun 10, 2024 | ₩38,350.00 | ₩40,450.00 | ₩37,600.00 | ₩39,600.00 | 1 118 100 |
Jun 07, 2024 | ₩36,350.00 | ₩39,600.00 | ₩36,150.00 | ₩38,200.00 | 1 585 713 |
Jun 05, 2024 | ₩37,350.00 | ₩38,150.00 | ₩35,750.00 | ₩35,800.00 | 973 292 |
Jun 04, 2024 | ₩36,850.00 | ₩38,550.00 | ₩35,550.00 | ₩36,000.00 | 1 179 703 |
Jun 03, 2024 | ₩35,600.00 | ₩37,650.00 | ₩35,050.00 | ₩36,850.00 | 1 541 723 |
May 31, 2024 | ₩34,200.00 | ₩36,000.00 | ₩33,350.00 | ₩34,750.00 | 828 451 |
May 30, 2024 | ₩33,950.00 | ₩34,850.00 | ₩33,600.00 | ₩34,100.00 | 491 816 |
May 29, 2024 | ₩35,750.00 | ₩36,400.00 | ₩34,200.00 | ₩34,250.00 | 1 075 168 |
May 28, 2024 | ₩31,600.00 | ₩38,200.00 | ₩31,600.00 | ₩35,450.00 | 6 774 267 |
May 27, 2024 | ₩31,550.00 | ₩31,900.00 | ₩30,500.00 | ₩31,550.00 | 332 474 |
May 24, 2024 | ₩32,050.00 | ₩33,350.00 | ₩31,200.00 | ₩31,550.00 | 335 182 |
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 036810.KQ stock historical prices to predict future price movements?
Trend Analysis: Examine the 036810.KQ 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 036810.KQ 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.