NASDAQ:RIDE
Delisted
Lordstown Motors Corp. Stock Price (Quote)
$2.20
+0 (+0%)
At Close: Oct 05, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $2.20 | $2.20 | Thursday, 5th Oct 2023 RIDE stock ended at $2.20. During the day the stock fluctuated 0% from a day low at $2.20 to a day high of $2.20. |
90 days | $2.20 | $2.20 | |
52 weeks | $0.251 | $6.76 |
Date | Open | High | Low | Close | Volume |
Mar 01, 2023 | $1.03 | $1.05 | $0.96 | $0.99 | 5 189 671 |
Feb 28, 2023 | $1.08 | $1.09 | $1.02 | $1.04 | 6 286 461 |
Feb 27, 2023 | $1.09 | $1.11 | $1.06 | $1.08 | 2 321 052 |
Feb 24, 2023 | $1.07 | $1.07 | $1.02 | $1.06 | 2 213 104 |
Feb 23, 2023 | $1.10 | $1.16 | $1.05 | $1.09 | 5 632 102 |
Feb 22, 2023 | $1.22 | $1.25 | $1.18 | $1.23 | 1 973 999 |
Feb 21, 2023 | $1.30 | $1.32 | $1.20 | $1.21 | 3 268 090 |
Feb 17, 2023 | $1.30 | $1.31 | $1.26 | $1.30 | 1 454 693 |
Feb 16, 2023 | $1.37 | $1.37 | $1.28 | $1.30 | 2 297 303 |
Feb 15, 2023 | $1.25 | $1.39 | $1.24 | $1.38 | 2 192 400 |
Feb 14, 2023 | $1.26 | $1.31 | $1.23 | $1.27 | 1 462 280 |
Feb 13, 2023 | $1.23 | $1.30 | $1.22 | $1.26 | 1 576 074 |
Feb 10, 2023 | $1.26 | $1.29 | $1.23 | $1.26 | 1 688 641 |
Feb 09, 2023 | $1.38 | $1.38 | $1.26 | $1.27 | 2 782 978 |
Feb 08, 2023 | $1.36 | $1.43 | $1.32 | $1.33 | 2 327 959 |
Feb 07, 2023 | $1.43 | $1.43 | $1.31 | $1.38 | 2 959 860 |
Feb 06, 2023 | $1.47 | $1.47 | $1.40 | $1.42 | 3 352 006 |
Feb 03, 2023 | $1.39 | $1.55 | $1.38 | $1.47 | 4 590 548 |
Feb 02, 2023 | $1.34 | $1.49 | $1.34 | $1.44 | 4 670 770 |
Feb 01, 2023 | $1.30 | $1.35 | $1.24 | $1.32 | 3 301 047 |
Jan 31, 2023 | $1.23 | $1.32 | $1.22 | $1.31 | 3 985 911 |
Jan 30, 2023 | $1.29 | $1.30 | $1.23 | $1.23 | 2 833 696 |
Jan 27, 2023 | $1.20 | $1.35 | $1.18 | $1.29 | 7 891 779 |
Jan 26, 2023 | $1.25 | $1.27 | $1.17 | $1.20 | 4 341 876 |
Jan 25, 2023 | $1.20 | $1.27 | $1.17 | $1.22 | 2 490 115 |
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 RIDE stock historical prices to predict future price movements?
Trend Analysis: Examine the RIDE 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 RIDE 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.