NYSE:RMO
Delisted
Romeo Power Stock Price (Quote)
$0.350
+0 (+0%)
At Close: Jan 27, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.350 | $0.350 | Friday, 27th Jan 2023 RMO stock ended at $0.350. During the day the stock fluctuated 0% from a day low at $0.350 to a day high of $0.350. |
90 days | $0.350 | $0.350 | |
52 weeks | $0.317 | $2.40 |
Date | Open | High | Low | Close | Volume |
Sep 02, 2022 | $0.606 | $0.619 | $0.564 | $0.591 | 2 628 494 |
Sep 01, 2022 | $0.600 | $0.609 | $0.578 | $0.597 | 2 479 731 |
Aug 31, 2022 | $0.643 | $0.645 | $0.605 | $0.615 | 1 670 292 |
Aug 30, 2022 | $0.680 | $0.690 | $0.603 | $0.623 | 3 435 806 |
Aug 29, 2022 | $0.680 | $0.689 | $0.646 | $0.670 | 1 573 419 |
Aug 26, 2022 | $0.692 | $0.700 | $0.644 | $0.660 | 2 098 455 |
Aug 25, 2022 | $0.680 | $0.705 | $0.666 | $0.679 | 2 350 064 |
Aug 24, 2022 | $0.633 | $0.683 | $0.633 | $0.656 | 2 295 415 |
Aug 23, 2022 | $0.616 | $0.667 | $0.615 | $0.636 | 2 507 770 |
Aug 22, 2022 | $0.654 | $0.670 | $0.602 | $0.613 | 3 111 639 |
Aug 19, 2022 | $0.710 | $0.710 | $0.662 | $0.667 | 2 690 438 |
Aug 18, 2022 | $0.720 | $0.735 | $0.712 | $0.720 | 1 726 264 |
Aug 17, 2022 | $0.765 | $0.765 | $0.712 | $0.730 | 4 368 199 |
Aug 16, 2022 | $0.748 | $0.779 | $0.707 | $0.774 | 5 235 107 |
Aug 15, 2022 | $0.740 | $0.789 | $0.735 | $0.743 | 3 816 704 |
Aug 12, 2022 | $0.753 | $0.797 | $0.722 | $0.770 | 5 016 842 |
Aug 11, 2022 | $0.81 | $0.81 | $0.730 | $0.743 | 4 667 755 |
Aug 10, 2022 | $0.82 | $0.83 | $0.755 | $0.781 | 3 321 938 |
Aug 09, 2022 | $0.87 | $0.87 | $0.750 | $0.753 | 6 126 921 |
Aug 08, 2022 | $0.89 | $0.99 | $0.87 | $0.88 | 8 052 473 |
Aug 05, 2022 | $0.84 | $0.89 | $0.82 | $0.89 | 5 570 056 |
Aug 04, 2022 | $0.780 | $0.90 | $0.780 | $0.86 | 10 325 700 |
Aug 03, 2022 | $0.700 | $0.789 | $0.700 | $0.784 | 13 308 276 |
Aug 02, 2022 | $0.700 | $0.728 | $0.680 | $0.700 | 17 755 161 |
Aug 01, 2022 | $0.679 | $0.717 | $0.652 | $0.698 | 46 831 018 |
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 RMO stock historical prices to predict future price movements?
Trend Analysis: Examine the RMO 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 RMO 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.