OSE:ELOP
Delisted
Elop AS Stock Price (Quote)
kr1.89
+0 (+0%)
At Close: Apr 12, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | kr1.89 | kr1.89 | Wednesday, 12th Apr 2023 ELOP.OL stock ended at kr1.89. During the day the stock fluctuated 0% from a day low at kr1.89 to a day high of kr1.89. |
90 days | kr1.89 | kr2.10 | |
52 weeks | kr1.50 | kr3.49 |
Date | Open | High | Low | Close | Volume |
May 20, 2022 | kr2.15 | kr2.19 | kr2.10 | kr2.14 | 230 069 |
May 19, 2022 | kr2.25 | kr2.25 | kr1.97 | kr2.14 | 415 712 |
May 18, 2022 | kr2.40 | kr2.45 | kr2.25 | kr2.25 | 265 031 |
May 16, 2022 | kr2.30 | kr2.44 | kr2.30 | kr2.40 | 369 124 |
May 13, 2022 | kr2.10 | kr2.35 | kr2.10 | kr2.34 | 210 701 |
May 12, 2022 | kr2.22 | kr2.27 | kr2.10 | kr2.10 | 376 069 |
May 11, 2022 | kr1.95 | kr2.45 | kr1.95 | kr2.22 | 392 556 |
May 10, 2022 | kr1.77 | kr2.03 | kr1.77 | kr1.85 | 434 646 |
May 09, 2022 | kr2.18 | kr2.18 | kr1.76 | kr2.06 | 668 511 |
May 06, 2022 | kr2.22 | kr2.23 | kr2.06 | kr2.10 | 248 451 |
May 05, 2022 | kr2.06 | kr2.30 | kr2.06 | kr2.18 | 447 054 |
May 04, 2022 | kr2.70 | kr2.70 | kr2.07 | kr2.11 | 2 072 099 |
May 03, 2022 | kr2.82 | kr2.82 | kr2.33 | kr2.33 | 551 958 |
May 02, 2022 | kr2.75 | kr2.88 | kr2.53 | kr2.58 | 278 097 |
Apr 29, 2022 | kr2.78 | kr2.87 | kr2.77 | kr2.77 | 88 860 |
Apr 28, 2022 | kr2.80 | kr2.84 | kr2.80 | kr2.82 | 29 140 |
Apr 27, 2022 | kr2.85 | kr2.99 | kr2.74 | kr2.89 | 139 006 |
Apr 26, 2022 | kr3.02 | kr3.02 | kr2.83 | kr2.92 | 11 691 |
Apr 25, 2022 | kr2.90 | kr3.12 | kr2.83 | kr2.94 | 119 826 |
Apr 22, 2022 | kr2.84 | kr3.06 | kr2.84 | kr3.06 | 49 687 |
Apr 21, 2022 | kr2.95 | kr2.98 | kr2.84 | kr2.95 | 283 988 |
Apr 20, 2022 | kr3.10 | kr3.37 | kr2.93 | kr2.97 | 438 523 |
Apr 19, 2022 | kr3.44 | kr3.47 | kr3.11 | kr3.15 | 488 090 |
Apr 15, 2022 | kr3.20 | kr3.49 | kr3.15 | kr3.37 | 659 200 |
Apr 14, 2022 | kr3.20 | kr3.49 | kr3.15 | kr3.37 | 659 200 |
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 ELOP.OL stock historical prices to predict future price movements?
Trend Analysis: Examine the ELOP.OL 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 ELOP.OL 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.