OSE:RECSI
REC Silicon ASA Stock Price (Quote)
kr9.51
-0.455 (-4.57%)
At Close: May 13, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | kr9.51 | kr11.55 | Monday, 13th May 2024 RECSI.OL stock ended at kr9.51. This is 4.57% less than the trading day before Friday, 10th May 2024. During the day the stock fluctuated 4.15% from a day low at kr9.51 to a day high of kr9.91. |
90 days | kr9.28 | kr12.10 | |
52 weeks | kr8.50 | kr18.48 |
Date | Open | High | Low | Close | Volume |
May 13, 2024 | kr9.86 | kr9.91 | kr9.51 | kr9.51 | 2 432 466 |
May 10, 2024 | kr10.00 | kr10.05 | kr9.75 | kr9.97 | 4 202 738 |
May 08, 2024 | kr10.56 | kr10.64 | kr10.33 | kr10.33 | 1 392 607 |
May 07, 2024 | kr10.48 | kr10.63 | kr10.40 | kr10.56 | 874 286 |
May 06, 2024 | kr10.67 | kr10.69 | kr10.46 | kr10.46 | 1 168 549 |
May 03, 2024 | kr10.46 | kr10.65 | kr10.32 | kr10.64 | 1 080 115 |
May 02, 2024 | kr10.87 | kr11.24 | kr10.05 | kr10.39 | 3 942 253 |
Apr 30, 2024 | kr11.02 | kr11.10 | kr10.80 | kr10.87 | 1 603 957 |
Apr 29, 2024 | kr11.25 | kr11.55 | kr10.96 | kr11.10 | 2 146 796 |
Apr 26, 2024 | kr11.05 | kr11.28 | kr10.85 | kr11.28 | 2 759 675 |
Apr 25, 2024 | kr11.05 | kr11.25 | kr10.50 | kr10.64 | 2 534 992 |
Apr 24, 2024 | kr11.04 | kr11.37 | kr11.00 | kr11.05 | 1 262 863 |
Apr 23, 2024 | kr10.90 | kr11.10 | kr10.83 | kr11.00 | 771 507 |
Apr 22, 2024 | kr10.76 | kr11.04 | kr10.76 | kr10.89 | 419 030 |
Apr 19, 2024 | kr10.80 | kr10.90 | kr10.63 | kr10.83 | 471 798 |
Apr 18, 2024 | kr10.91 | kr11.06 | kr10.79 | kr10.88 | 1 216 534 |
Apr 17, 2024 | kr10.74 | kr11.20 | kr10.74 | kr10.86 | 1 132 773 |
Apr 16, 2024 | kr10.82 | kr10.98 | kr10.78 | kr10.86 | 630 180 |
Apr 15, 2024 | kr11.10 | kr11.21 | kr10.90 | kr11.01 | 933 792 |
Apr 12, 2024 | kr11.78 | kr11.80 | kr11.30 | kr11.30 | 1 560 033 |
Apr 11, 2024 | kr11.23 | kr11.64 | kr11.23 | kr11.64 | 1 263 141 |
Apr 10, 2024 | kr11.82 | kr12.04 | kr11.24 | kr11.25 | 2 892 393 |
Apr 09, 2024 | kr11.50 | kr11.90 | kr11.47 | kr11.90 | 2 041 179 |
Apr 08, 2024 | kr11.25 | kr11.45 | kr11.00 | kr11.43 | 1 475 770 |
Apr 05, 2024 | kr11.36 | kr11.65 | kr10.97 | kr11.07 | 2 676 500 |
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 RECSI.OL stock historical prices to predict future price movements?
Trend Analysis: Examine the RECSI.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 RECSI.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.