NASDAQ:TRUE
TrueCar, Inc. Stock Price (Quote)
$2.92
-0.160 (-5.19%)
At Close: May 23, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $2.62 | $3.09 | Thursday, 23rd May 2024 TRUE stock ended at $2.92. This is 5.19% less than the trading day before Wednesday, 22nd May 2024. During the day the stock fluctuated 6.21% from a day low at $2.90 to a day high of $3.08. |
90 days | $2.62 | $3.82 | |
52 weeks | $1.77 | $4.05 |
Date | Open | High | Low | Close | Volume |
Mar 13, 2024 | $3.66 | $3.77 | $3.66 | $3.77 | 207 382 |
Mar 12, 2024 | $3.68 | $3.80 | $3.65 | $3.67 | 139 849 |
Mar 11, 2024 | $3.66 | $3.69 | $3.59 | $3.67 | 308 192 |
Mar 08, 2024 | $3.60 | $3.82 | $3.58 | $3.67 | 269 028 |
Mar 07, 2024 | $3.38 | $3.58 | $3.38 | $3.57 | 146 483 |
Mar 06, 2024 | $3.38 | $3.39 | $3.31 | $3.37 | 141 312 |
Mar 05, 2024 | $3.43 | $3.44 | $3.31 | $3.33 | 145 925 |
Mar 04, 2024 | $3.42 | $3.51 | $3.39 | $3.46 | 190 600 |
Mar 01, 2024 | $3.51 | $3.57 | $3.39 | $3.54 | 174 787 |
Feb 29, 2024 | $3.39 | $3.52 | $3.39 | $3.48 | 203 769 |
Feb 28, 2024 | $3.30 | $3.39 | $3.25 | $3.33 | 235 372 |
Feb 27, 2024 | $3.26 | $3.36 | $3.21 | $3.34 | 207 085 |
Feb 26, 2024 | $3.24 | $3.38 | $3.20 | $3.24 | 155 592 |
Feb 23, 2024 | $3.36 | $3.44 | $3.20 | $3.28 | 142 113 |
Feb 22, 2024 | $3.86 | $3.97 | $3.33 | $3.38 | 390 229 |
Feb 21, 2024 | $3.65 | $4.05 | $3.50 | $3.87 | 772 506 |
Feb 20, 2024 | $3.68 | $3.75 | $3.63 | $3.67 | 323 200 |
Feb 16, 2024 | $3.92 | $3.92 | $3.71 | $3.74 | 170 755 |
Feb 15, 2024 | $3.76 | $3.95 | $3.72 | $3.93 | 238 256 |
Feb 14, 2024 | $3.77 | $3.78 | $3.72 | $3.73 | 159 029 |
Feb 13, 2024 | $3.86 | $3.86 | $3.65 | $3.67 | 239 579 |
Feb 12, 2024 | $3.89 | $4.00 | $3.89 | $3.99 | 237 911 |
Feb 09, 2024 | $3.86 | $3.89 | $3.79 | $3.89 | 280 466 |
Feb 08, 2024 | $3.74 | $3.85 | $3.74 | $3.83 | 142 769 |
Feb 07, 2024 | $3.94 | $3.94 | $3.72 | $3.73 | 133 356 |
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 TRUE stock historical prices to predict future price movements?
Trend Analysis: Examine the TRUE 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 TRUE 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.