OMXI:KVIKA
Kvika banki hf. Stock Price (Quote)
14.35 Íkr
+0.150 (+1.06%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 13.65 Íkr | 14.75 Íkr | Friday, 17th May 2024 KVIKA.IC stock ended at 14.35 Íkr. This is 1.06% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 0.702% from a day low at 14.25 Íkr to a day high of 14.35 Íkr. |
90 days | 13.65 Íkr | 16.35 Íkr | |
52 weeks | 13.25 Íkr | 18.70 Íkr |
Date | Open | High | Low | Close | Volume |
Jun 22, 2023 | 17.40 Íkr | 17.40 Íkr | 17.20 Íkr | 17.40 Íkr | 7 962 973 |
Jun 21, 2023 | 17.25 Íkr | 17.50 Íkr | 17.15 Íkr | 17.50 Íkr | 21 366 005 |
Jun 20, 2023 | 17.05 Íkr | 17.25 Íkr | 17.05 Íkr | 17.25 Íkr | 7 657 095 |
Jun 19, 2023 | 17.00 Íkr | 17.00 Íkr | 17.00 Íkr | 17.00 Íkr | 4 827 437 |
Jun 16, 2023 | 17.35 Íkr | 17.35 Íkr | 17.00 Íkr | 17.00 Íkr | 3 923 831 |
Jun 15, 2023 | 17.00 Íkr | 17.40 Íkr | 17.00 Íkr | 17.40 Íkr | 7 671 000 |
Jun 14, 2023 | 17.30 Íkr | 17.30 Íkr | 17.00 Íkr | 17.20 Íkr | 3 250 000 |
Jun 13, 2023 | 17.35 Íkr | 17.35 Íkr | 17.15 Íkr | 17.23 Íkr | 6 415 000 |
Jun 12, 2023 | 17.35 Íkr | 17.55 Íkr | 17.35 Íkr | 17.48 Íkr | 4 053 064 |
Jun 09, 2023 | 17.50 Íkr | 17.65 Íkr | 17.40 Íkr | 17.55 Íkr | 20 934 183 |
Jun 08, 2023 | 17.05 Íkr | 17.30 Íkr | 17.05 Íkr | 17.30 Íkr | 9 456 160 |
Jun 07, 2023 | 17.45 Íkr | 17.45 Íkr | 17.08 Íkr | 17.08 Íkr | 3 501 147 |
Jun 05, 2023 | 17.10 Íkr | 17.20 Íkr | 16.95 Íkr | 17.20 Íkr | 3 406 318 |
Jun 02, 2023 | 17.00 Íkr | 17.25 Íkr | 17.00 Íkr | 17.25 Íkr | 34 200 |
Jun 01, 2023 | 17.35 Íkr | 17.45 Íkr | 17.00 Íkr | 17.25 Íkr | 7 247 368 |
May 31, 2023 | 17.50 Íkr | 17.60 Íkr | 17.50 Íkr | 17.50 Íkr | 7 693 500 |
May 30, 2023 | 17.65 Íkr | 17.65 Íkr | 17.50 Íkr | 17.65 Íkr | 6 677 788 |
May 26, 2023 | 17.50 Íkr | 17.65 Íkr | 17.50 Íkr | 17.65 Íkr | 5 022 849 |
May 25, 2023 | 17.60 Íkr | 17.65 Íkr | 17.35 Íkr | 17.65 Íkr | 17 249 337 |
May 24, 2023 | 17.70 Íkr | 18.00 Íkr | 17.70 Íkr | 17.90 Íkr | 11 450 646 |
May 23, 2023 | 18.10 Íkr | 18.70 Íkr | 18.00 Íkr | 18.10 Íkr | 25 453 632 |
May 22, 2023 | 17.80 Íkr | 18.15 Íkr | 17.80 Íkr | 18.05 Íkr | 20 553 000 |
May 19, 2023 | 17.25 Íkr | 17.65 Íkr | 17.15 Íkr | 17.65 Íkr | 43 336 302 |
May 17, 2023 | 16.85 Íkr | 17.40 Íkr | 16.85 Íkr | 17.40 Íkr | 19 067 471 |
May 16, 2023 | 16.73 Íkr | 16.80 Íkr | 16.60 Íkr | 16.80 Íkr | 5 193 600 |
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.