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 |
Dec 29, 2023 | $3.57 | $3.57 | $3.43 | $3.46 | 151 274 |
Dec 28, 2023 | $3.59 | $3.62 | $3.53 | $3.53 | 115 300 |
Dec 27, 2023 | $3.56 | $3.62 | $3.53 | $3.62 | 123 677 |
Dec 26, 2023 | $3.46 | $3.58 | $3.44 | $3.57 | 143 431 |
Dec 22, 2023 | $3.53 | $3.55 | $3.46 | $3.49 | 136 670 |
Dec 21, 2023 | $3.53 | $3.53 | $3.16 | $3.50 | 220 398 |
Dec 20, 2023 | $3.52 | $3.61 | $3.43 | $3.50 | 264 285 |
Dec 19, 2023 | $3.48 | $3.77 | $3.43 | $3.52 | 381 522 |
Dec 18, 2023 | $3.59 | $3.61 | $3.42 | $3.43 | 455 892 |
Dec 15, 2023 | $3.34 | $3.53 | $3.25 | $3.49 | 968 557 |
Dec 14, 2023 | $3.10 | $3.29 | $3.09 | $3.28 | 314 291 |
Dec 13, 2023 | $2.95 | $3.05 | $2.90 | $3.05 | 216 990 |
Dec 12, 2023 | $2.93 | $2.97 | $2.89 | $2.95 | 135 215 |
Dec 11, 2023 | $2.93 | $2.98 | $2.88 | $2.93 | 183 331 |
Dec 08, 2023 | $2.84 | $2.95 | $2.77 | $2.94 | 156 839 |
Dec 07, 2023 | $2.76 | $2.87 | $2.72 | $2.87 | 115 432 |
Dec 06, 2023 | $2.82 | $2.88 | $2.73 | $2.73 | 90 190 |
Dec 05, 2023 | $2.78 | $2.83 | $2.72 | $2.79 | 117 130 |
Dec 04, 2023 | $2.86 | $2.91 | $2.79 | $2.81 | 218 079 |
Dec 01, 2023 | $2.78 | $2.83 | $2.71 | $2.81 | 137 273 |
Nov 30, 2023 | $2.81 | $2.83 | $2.77 | $2.79 | 109 918 |
Nov 29, 2023 | $2.77 | $2.84 | $2.75 | $2.79 | 112 525 |
Nov 28, 2023 | $2.77 | $2.80 | $2.73 | $2.73 | 132 780 |
Nov 27, 2023 | $2.60 | $2.80 | $2.60 | $2.78 | 262 766 |
Nov 24, 2023 | $2.65 | $2.66 | $2.61 | $2.63 | 83 006 |
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.