OMXI:KVIKA
Kvika banki hf. Stock Price (Quote)
14.85 Íkr
+0 (+0%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 13.65 Íkr | 15.10 Íkr | Friday, 24th May 2024 KVIKA.IC stock ended at 14.85 Íkr. During the day the stock fluctuated 2.03% from a day low at 14.80 Íkr to a day high of 15.10 Íkr. |
90 days | 13.65 Íkr | 16.35 Íkr | |
52 weeks | 13.25 Íkr | 18.30 Íkr |
Date | Open | High | Low | Close | Volume |
Nov 17, 2023 | 13.70 Íkr | 13.70 Íkr | 13.60 Íkr | 13.65 Íkr | 10 361 000 |
Nov 16, 2023 | 13.40 Íkr | 13.75 Íkr | 13.40 Íkr | 13.75 Íkr | 14 099 804 |
Nov 15, 2023 | 13.40 Íkr | 13.40 Íkr | 13.25 Íkr | 13.25 Íkr | 2 328 820 |
Nov 14, 2023 | 13.55 Íkr | 13.55 Íkr | 13.45 Íkr | 13.50 Íkr | 12 142 597 |
Nov 13, 2023 | 13.50 Íkr | 13.65 Íkr | 13.45 Íkr | 13.55 Íkr | 1 124 873 |
Nov 10, 2023 | 13.75 Íkr | 13.95 Íkr | 13.75 Íkr | 13.90 Íkr | 18 312 445 |
Nov 09, 2023 | 13.95 Íkr | 14.00 Íkr | 13.75 Íkr | 13.75 Íkr | 19 526 037 |
Nov 08, 2023 | 13.60 Íkr | 14.20 Íkr | 13.60 Íkr | 14.20 Íkr | 19 627 655 |
Nov 07, 2023 | 13.80 Íkr | 14.15 Íkr | 13.80 Íkr | 14.15 Íkr | 20 593 546 |
Nov 06, 2023 | 14.00 Íkr | 14.00 Íkr | 13.55 Íkr | 13.70 Íkr | 7 742 000 |
Nov 03, 2023 | 13.75 Íkr | 14.05 Íkr | 13.75 Íkr | 13.93 Íkr | 24 164 924 |
Nov 02, 2023 | 13.65 Íkr | 13.85 Íkr | 13.65 Íkr | 13.85 Íkr | 3 655 464 |
Nov 01, 2023 | 13.75 Íkr | 13.80 Íkr | 13.65 Íkr | 13.65 Íkr | 8 841 181 |
Oct 31, 2023 | 13.88 Íkr | 13.90 Íkr | 13.75 Íkr | 13.90 Íkr | 4 154 757 |
Oct 30, 2023 | 14.00 Íkr | 14.00 Íkr | 13.90 Íkr | 14.00 Íkr | 1 762 245 |
Oct 27, 2023 | 14.35 Íkr | 14.35 Íkr | 14.00 Íkr | 14.00 Íkr | 3 087 800 |
Oct 26, 2023 | 14.05 Íkr | 14.30 Íkr | 14.05 Íkr | 14.30 Íkr | 24 960 000 |
Oct 25, 2023 | 13.85 Íkr | 14.00 Íkr | 13.70 Íkr | 14.00 Íkr | 12 800 000 |
Oct 24, 2023 | 13.80 Íkr | 13.95 Íkr | 13.80 Íkr | 13.90 Íkr | 2 032 753 |
Oct 23, 2023 | 14.00 Íkr | 14.15 Íkr | 13.90 Íkr | 13.90 Íkr | 10 309 514 |
Oct 20, 2023 | 14.10 Íkr | 14.10 Íkr | 14.05 Íkr | 14.05 Íkr | 1 853 576 |
Oct 19, 2023 | 14.05 Íkr | 14.20 Íkr | 14.05 Íkr | 14.10 Íkr | 1 869 060 |
Oct 18, 2023 | 14.20 Íkr | 14.25 Íkr | 14.10 Íkr | 14.20 Íkr | 7 389 000 |
Oct 17, 2023 | 14.45 Íkr | 14.48 Íkr | 14.35 Íkr | 14.35 Íkr | 4 275 021 |
Oct 16, 2023 | 14.50 Íkr | 14.80 Íkr | 14.50 Íkr | 14.55 Íkr | 10 266 512 |
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 KVIKA.IC stock historical prices to predict future price movements?
Trend Analysis: Examine the KVIKA.IC 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 KVIKA.IC 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.