NASDAQ:RMTI
Rockwell Medical Stock Price (Quote)
$1.81
-0.0050 (-0.275%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.42 | $1.93 | Friday, 24th May 2024 RMTI stock ended at $1.81. This is 0.275% less than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 4.82% from a day low at $1.74 to a day high of $1.82. |
90 days | $1.25 | $1.93 | |
52 weeks | $1.16 | $6.24 |
Date | Open | High | Low | Close | Volume |
Jan 02, 2024 | $1.89 | $1.94 | $1.85 | $1.86 | 184 649 |
Dec 29, 2023 | $1.93 | $2.02 | $1.86 | $1.89 | 239 305 |
Dec 28, 2023 | $1.89 | $2.07 | $1.88 | $1.95 | 1 280 522 |
Dec 27, 2023 | $1.92 | $1.97 | $1.89 | $1.92 | 205 926 |
Dec 26, 2023 | $1.89 | $1.95 | $1.87 | $1.93 | 243 859 |
Dec 22, 2023 | $1.85 | $1.94 | $1.85 | $1.89 | 210 779 |
Dec 21, 2023 | $1.83 | $1.86 | $1.79 | $1.84 | 170 491 |
Dec 20, 2023 | $1.75 | $1.92 | $1.73 | $1.79 | 423 599 |
Dec 19, 2023 | $1.74 | $1.77 | $1.67 | $1.73 | 364 471 |
Dec 18, 2023 | $1.72 | $1.79 | $1.69 | $1.69 | 186 373 |
Dec 15, 2023 | $1.76 | $1.82 | $1.70 | $1.75 | 298 346 |
Dec 14, 2023 | $1.76 | $1.82 | $1.73 | $1.75 | 407 358 |
Dec 13, 2023 | $1.62 | $1.76 | $1.61 | $1.74 | 338 844 |
Dec 12, 2023 | $1.72 | $1.72 | $1.63 | $1.64 | 297 132 |
Dec 11, 2023 | $1.78 | $1.80 | $1.69 | $1.72 | 184 156 |
Dec 08, 2023 | $1.67 | $1.84 | $1.67 | $1.76 | 528 162 |
Dec 07, 2023 | $1.68 | $1.73 | $1.61 | $1.65 | 405 419 |
Dec 06, 2023 | $1.74 | $1.81 | $1.67 | $1.67 | 213 029 |
Dec 05, 2023 | $1.76 | $1.80 | $1.66 | $1.78 | 264 637 |
Dec 04, 2023 | $1.81 | $1.83 | $1.77 | $1.78 | 264 032 |
Dec 01, 2023 | $1.80 | $1.87 | $1.79 | $1.84 | 252 226 |
Nov 30, 2023 | $1.87 | $1.89 | $1.78 | $1.79 | 193 885 |
Nov 29, 2023 | $1.90 | $1.96 | $1.84 | $1.87 | 168 999 |
Nov 28, 2023 | $1.89 | $1.90 | $1.84 | $1.90 | 108 976 |
Nov 27, 2023 | $1.90 | $1.93 | $1.84 | $1.89 | 137 175 |
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 RMTI stock historical prices to predict future price movements?
Trend Analysis: Examine the RMTI 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 RMTI 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.