NASDAQ:TSP
Delisted
Tusimple Holdings Inc - Class A Stock Price (Quote)
$0.250
+0 (+0%)
At Close: May 03, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.250 | $0.250 | Friday, 3rd May 2024 TSP stock ended at $0.250. During the day the stock fluctuated 0% from a day low at $0.250 to a day high of $0.250. |
90 days | $0.236 | $0.286 | |
52 weeks | $0.215 | $2.68 |
Date | Open | High | Low | Close | Volume |
Jan 17, 2024 | $0.357 | $0.434 | $0.290 | $0.379 | 17 211 356 |
Jan 16, 2024 | $0.721 | $0.780 | $0.691 | $0.706 | 1 020 395 |
Jan 12, 2024 | $0.772 | $0.81 | $0.730 | $0.735 | 742 808 |
Jan 11, 2024 | $0.784 | $0.784 | $0.746 | $0.765 | 689 983 |
Jan 10, 2024 | $0.743 | $0.788 | $0.735 | $0.779 | 762 364 |
Jan 09, 2024 | $0.80 | $0.81 | $0.733 | $0.735 | 983 990 |
Jan 08, 2024 | $0.737 | $0.83 | $0.737 | $0.82 | 980 207 |
Jan 05, 2024 | $0.738 | $0.775 | $0.720 | $0.750 | 1 319 654 |
Jan 04, 2024 | $0.760 | $0.776 | $0.740 | $0.741 | 1 385 375 |
Jan 03, 2024 | $0.80 | $0.82 | $0.753 | $0.760 | 2 229 318 |
Jan 02, 2024 | $0.87 | $0.89 | $0.81 | $0.81 | 1 660 563 |
Dec 29, 2023 | $0.87 | $0.91 | $0.86 | $0.88 | 1 343 685 |
Dec 28, 2023 | $0.84 | $0.90 | $0.84 | $0.87 | 948 281 |
Dec 27, 2023 | $0.89 | $0.89 | $0.84 | $0.84 | 950 844 |
Dec 26, 2023 | $0.87 | $0.91 | $0.87 | $0.89 | 777 950 |
Dec 22, 2023 | $0.87 | $0.88 | $0.86 | $0.87 | 558 865 |
Dec 21, 2023 | $0.91 | $0.94 | $0.85 | $0.86 | 882 178 |
Dec 20, 2023 | $0.92 | $0.97 | $0.89 | $0.89 | 1 032 689 |
Dec 19, 2023 | $0.89 | $0.98 | $0.89 | $0.94 | 757 412 |
Dec 18, 2023 | $0.93 | $0.98 | $0.90 | $0.91 | 724 703 |
Dec 15, 2023 | $1.00 | $1.00 | $0.92 | $0.95 | 3 401 559 |
Dec 14, 2023 | $1.00 | $1.07 | $0.96 | $0.98 | 1 875 092 |
Dec 13, 2023 | $0.90 | $1.01 | $0.87 | $1.01 | 1 529 898 |
Dec 12, 2023 | $0.94 | $0.94 | $0.88 | $0.91 | 1 142 498 |
Dec 11, 2023 | $0.99 | $1.01 | $0.93 | $0.95 | 2 060 460 |
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 TSP stock historical prices to predict future price movements?
Trend Analysis: Examine the TSP 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 TSP 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.