OSE:HUDL
Delisted
Huddle Fintech AS Stock Price (Quote)
kr2.09
+0 (+0%)
At Close: Dec 18, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | kr2.09 | kr2.09 | Monday, 18th Dec 2023 HUDL.OL stock ended at kr2.09. During the day the stock fluctuated 0% from a day low at kr2.09 to a day high of kr2.09. |
90 days | kr2.02 | kr2.18 | |
52 weeks | kr1.45 | kr3.09 |
Date | Open | High | Low | Close | Volume |
May 19, 2023 | kr2.09 | kr2.09 | kr2.00 | kr2.08 | 307 252 |
May 16, 2023 | kr2.12 | kr2.13 | kr2.00 | kr2.08 | 191 526 |
May 15, 2023 | kr2.14 | kr2.20 | kr2.08 | kr2.11 | 854 661 |
May 12, 2023 | kr2.10 | kr2.19 | kr2.10 | kr2.19 | 212 492 |
May 11, 2023 | kr2.15 | kr2.15 | kr2.00 | kr2.10 | 617 334 |
May 10, 2023 | kr2.16 | kr2.16 | kr2.09 | kr2.16 | 395 533 |
May 09, 2023 | kr2.21 | kr2.21 | kr2.15 | kr2.18 | 216 532 |
May 08, 2023 | kr2.24 | kr2.29 | kr2.15 | kr2.29 | 279 194 |
May 05, 2023 | kr2.21 | kr2.22 | kr2.12 | kr2.21 | 132 624 |
May 04, 2023 | kr2.21 | kr2.30 | kr2.17 | kr2.21 | 352 199 |
May 03, 2023 | kr2.25 | kr2.30 | kr2.21 | kr2.22 | 321 586 |
May 02, 2023 | kr2.27 | kr2.34 | kr2.25 | kr2.27 | 329 304 |
Apr 28, 2023 | kr2.28 | kr2.30 | kr2.26 | kr2.30 | 94 414 |
Apr 27, 2023 | kr2.32 | kr2.33 | kr2.25 | kr2.28 | 656 970 |
Apr 26, 2023 | kr2.30 | kr2.32 | kr2.27 | kr2.30 | 121 782 |
Apr 25, 2023 | kr2.36 | kr2.39 | kr2.30 | kr2.30 | 330 808 |
Apr 24, 2023 | kr2.39 | kr2.40 | kr2.37 | kr2.40 | 31 550 |
Apr 21, 2023 | kr2.38 | kr2.39 | kr2.34 | kr2.39 | 49 000 |
Apr 20, 2023 | kr2.43 | kr2.45 | kr2.34 | kr2.39 | 212 558 |
Apr 19, 2023 | kr2.40 | kr2.46 | kr2.38 | kr2.40 | 810 232 |
Apr 18, 2023 | kr2.36 | kr2.46 | kr2.36 | kr2.40 | 278 117 |
Apr 17, 2023 | kr2.40 | kr2.40 | kr2.31 | kr2.40 | 184 738 |
Apr 14, 2023 | kr2.47 | kr2.47 | kr2.38 | kr2.40 | 2 810 597 |
Apr 13, 2023 | kr2.45 | kr2.48 | kr2.40 | kr2.44 | 72 358 |
Apr 12, 2023 | kr2.41 | kr2.45 | kr2.40 | kr2.45 | 140 716 |
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 HUDL.OL stock historical prices to predict future price movements?
Trend Analysis: Examine the HUDL.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 HUDL.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.