NASDAQ:HYRE
Delisted
HyreCar Inc. Stock Price (Quote)
$0.0235
+0 (+0%)
At Close: May 26, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0235 | $0.0235 | Friday, 26th May 2023 HYRE stock ended at $0.0235. During the day the stock fluctuated 0% from a day low at $0.0235 to a day high of $0.0235. |
90 days | $0.0220 | $0.0990 | |
52 weeks | $0.0220 | $1.63 |
Historical HyreCar Inc. prices
Date | Open | High | Low | Close | Volume |
Feb 20, 2019 | $4.05 | $4.12 | $3.90 | $4.00 | 175 321 |
Feb 19, 2019 | $4.25 | $4.37 | $4.00 | $4.06 | 220 767 |
Feb 15, 2019 | $4.25 | $4.30 | $4.06 | $4.23 | 273 036 |
Feb 14, 2019 | $4.05 | $4.34 | $3.91 | $4.26 | 303 508 |
Feb 13, 2019 | $3.78 | $4.21 | $3.69 | $4.03 | 294 634 |
Feb 12, 2019 | $3.95 | $4.00 | $3.65 | $3.74 | 256 807 |
Feb 11, 2019 | $3.96 | $4.05 | $3.87 | $3.89 | 146 699 |
Feb 08, 2019 | $4.10 | $4.22 | $3.80 | $3.91 | 393 581 |
Feb 07, 2019 | $4.70 | $4.87 | $4.00 | $4.13 | 2 859 331 |
Feb 06, 2019 | $4.02 | $4.19 | $3.80 | $3.94 | 169 401 |
Feb 05, 2019 | $3.82 | $4.06 | $3.82 | $4.02 | 181 358 |
Feb 04, 2019 | $4.30 | $4.37 | $3.55 | $3.82 | 562 531 |
Feb 01, 2019 | $4.40 | $4.62 | $4.15 | $4.32 | 468 027 |
Jan 31, 2019 | $4.55 | $4.68 | $4.35 | $4.43 | 374 674 |
Jan 30, 2019 | $4.39 | $4.70 | $4.15 | $4.52 | 435 099 |
Jan 29, 2019 | $4.03 | $4.99 | $4.03 | $4.45 | 1 903 121 |
Jan 28, 2019 | $4.47 | $4.47 | $3.96 | $4.02 | 345 011 |
Jan 25, 2019 | $3.58 | $4.64 | $3.45 | $4.56 | 439 969 |
Jan 24, 2019 | $3.66 | $3.73 | $3.49 | $3.54 | 54 210 |
Jan 23, 2019 | $3.66 | $4.06 | $3.38 | $3.70 | 135 859 |
Jan 22, 2019 | $3.94 | $4.00 | $3.58 | $3.62 | 195 077 |
Jan 18, 2019 | $4.19 | $4.27 | $3.92 | $4.00 | 135 293 |
Jan 17, 2019 | $3.84 | $4.28 | $3.84 | $4.13 | 284 714 |
Jan 16, 2019 | $4.36 | $4.36 | $3.80 | $3.87 | 367 842 |
Jan 15, 2019 | $4.15 | $4.50 | $4.06 | $4.30 | 304 276 |
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 HYRE stock historical prices to predict future price movements?
Trend Analysis: Examine the HYRE 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 HYRE 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.