NASDAQ:RUM
Rumble Inc. Stock Price (Quote)
$7.01
-0.300 (-4.10%)
At Close: May 22, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $6.12 | $7.67 | Wednesday, 22nd May 2024 RUM stock ended at $7.01. This is 4.10% less than the trading day before Tuesday, 21st May 2024. During the day the stock fluctuated 6.56% from a day low at $7.01 to a day high of $7.47. |
90 days | $5.96 | $9.19 | |
52 weeks | $3.33 | $11.25 |
Date | Open | High | Low | Close | Volume |
Sep 11, 2023 | $7.15 | $7.17 | $6.90 | $6.91 | 906 519 |
Sep 08, 2023 | $7.17 | $7.23 | $7.06 | $7.12 | 599 675 |
Sep 07, 2023 | $7.40 | $7.40 | $7.09 | $7.16 | 553 322 |
Sep 06, 2023 | $7.75 | $7.75 | $7.29 | $7.35 | 1 287 477 |
Sep 05, 2023 | $7.77 | $7.93 | $7.42 | $7.75 | 831 831 |
Sep 01, 2023 | $8.39 | $8.54 | $7.80 | $7.88 | 1 103 632 |
Aug 31, 2023 | $8.22 | $8.59 | $8.20 | $8.37 | 782 125 |
Aug 30, 2023 | $8.07 | $8.39 | $7.96 | $8.23 | 1 024 418 |
Aug 29, 2023 | $7.73 | $8.12 | $7.69 | $8.09 | 849 506 |
Aug 28, 2023 | $7.35 | $7.75 | $7.35 | $7.74 | 783 033 |
Aug 25, 2023 | $7.12 | $7.41 | $7.09 | $7.35 | 797 468 |
Aug 24, 2023 | $7.29 | $7.33 | $7.10 | $7.12 | 681 346 |
Aug 23, 2023 | $7.08 | $7.31 | $7.03 | $7.26 | 825 360 |
Aug 22, 2023 | $7.04 | $7.19 | $6.87 | $7.08 | 1 569 694 |
Aug 21, 2023 | $7.08 | $7.17 | $6.81 | $6.97 | 1 252 797 |
Aug 18, 2023 | $7.22 | $7.32 | $7.01 | $7.02 | 952 740 |
Aug 17, 2023 | $7.17 | $7.35 | $7.05 | $7.24 | 1 067 193 |
Aug 16, 2023 | $7.12 | $7.24 | $6.83 | $7.10 | 1 900 493 |
Aug 15, 2023 | $7.80 | $7.88 | $7.04 | $7.09 | 4 159 671 |
Aug 14, 2023 | $8.22 | $8.27 | $7.95 | $8.24 | 1 561 270 |
Aug 11, 2023 | $8.05 | $8.25 | $8.05 | $8.22 | 580 155 |
Aug 10, 2023 | $8.06 | $8.28 | $8.02 | $8.16 | 578 724 |
Aug 09, 2023 | $8.23 | $8.49 | $8.00 | $8.05 | 954 474 |
Aug 08, 2023 | $8.10 | $8.23 | $7.97 | $8.19 | 605 922 |
Aug 07, 2023 | $8.14 | $8.25 | $7.97 | $8.18 | 602 008 |
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 RUM stock historical prices to predict future price movements?
Trend Analysis: Examine the RUM 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 RUM 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.