NYSE:FUBO
fuboTV Stock Price (Quote)
$1.25
+0.0300 (+2.46%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.20 | $1.69 | Friday, 24th May 2024 FUBO stock ended at $1.25. This is 2.46% more than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 5.32% from a day low at $1.22 to a day high of $1.28. |
90 days | $1.20 | $2.44 | |
52 weeks | $1.20 | $3.87 |
Date | Open | High | Low | Close | Volume |
Feb 07, 2024 | $2.02 | $2.03 | $1.75 | $1.94 | 53 107 502 |
Feb 06, 2024 | $2.43 | $2.56 | $2.41 | $2.51 | 7 574 986 |
Feb 05, 2024 | $2.50 | $2.51 | $2.40 | $2.42 | 10 108 755 |
Feb 02, 2024 | $2.52 | $2.57 | $2.46 | $2.56 | 9 244 031 |
Feb 01, 2024 | $2.55 | $2.59 | $2.48 | $2.54 | 9 240 199 |
Jan 31, 2024 | $2.53 | $2.70 | $2.48 | $2.49 | 10 433 487 |
Jan 30, 2024 | $2.70 | $2.71 | $2.56 | $2.58 | 9 555 214 |
Jan 29, 2024 | $2.67 | $2.73 | $2.60 | $2.72 | 8 683 399 |
Jan 26, 2024 | $2.73 | $2.80 | $2.67 | $2.67 | 5 266 649 |
Jan 25, 2024 | $2.74 | $2.83 | $2.63 | $2.68 | 8 345 683 |
Jan 24, 2024 | $2.88 | $2.96 | $2.68 | $2.70 | 8 643 512 |
Jan 23, 2024 | $2.79 | $2.88 | $2.72 | $2.79 | 8 848 892 |
Jan 22, 2024 | $2.64 | $2.88 | $2.63 | $2.73 | 12 329 334 |
Jan 19, 2024 | $2.54 | $2.63 | $2.47 | $2.60 | 8 414 098 |
Jan 18, 2024 | $2.61 | $2.65 | $2.42 | $2.52 | 12 584 605 |
Jan 17, 2024 | $2.56 | $2.60 | $2.50 | $2.58 | 8 536 524 |
Jan 16, 2024 | $2.70 | $2.72 | $2.60 | $2.66 | 8 207 106 |
Jan 12, 2024 | $2.80 | $2.93 | $2.71 | $2.73 | 7 969 108 |
Jan 11, 2024 | $2.89 | $2.92 | $2.72 | $2.79 | 10 274 481 |
Jan 10, 2024 | $2.98 | $2.99 | $2.86 | $2.94 | 7 146 311 |
Jan 09, 2024 | $3.10 | $3.12 | $2.96 | $2.97 | 8 029 492 |
Jan 08, 2024 | $2.91 | $3.17 | $2.90 | $3.17 | 9 872 665 |
Jan 05, 2024 | $2.91 | $3.05 | $2.88 | $2.93 | 7 639 148 |
Jan 04, 2024 | $2.96 | $3.02 | $2.88 | $2.97 | 9 443 206 |
Jan 03, 2024 | $3.08 | $3.08 | $2.88 | $2.90 | 12 641 861 |
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 FUBO stock historical prices to predict future price movements?
Trend Analysis: Examine the FUBO 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 FUBO 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.