NASDAQ:PTRA
Delisted
Proterra Inc. Stock Price (Quote)
$0.0670
+0 (+0%)
At Close: Nov 24, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0670 | $0.0670 | Friday, 24th Nov 2023 PTRA stock ended at $0.0670. During the day the stock fluctuated 0% from a day low at $0.0670 to a day high of $0.0670. |
90 days | $0.0670 | $0.0670 | |
52 weeks | $0.0010 | $5.88 |
Historical Proterra Inc. prices
Date | Open | High | Low | Close | Volume |
Jul 03, 2023 | $1.20 | $1.25 | $1.19 | $1.22 | 1 329 634 |
Jun 30, 2023 | $1.20 | $1.26 | $1.18 | $1.20 | 1 710 115 |
Jun 29, 2023 | $1.19 | $1.24 | $1.16 | $1.20 | 1 179 815 |
Jun 28, 2023 | $1.14 | $1.17 | $1.10 | $1.16 | 1 109 027 |
Jun 27, 2023 | $1.08 | $1.14 | $1.05 | $1.13 | 1 660 323 |
Jun 26, 2023 | $1.15 | $1.17 | $1.08 | $1.08 | 1 491 880 |
Jun 23, 2023 | $1.16 | $1.16 | $1.09 | $1.14 | 4 315 354 |
Jun 22, 2023 | $1.22 | $1.23 | $1.15 | $1.17 | 1 589 651 |
Jun 21, 2023 | $1.22 | $1.28 | $1.19 | $1.23 | 2 755 175 |
Jun 20, 2023 | $1.30 | $1.31 | $1.20 | $1.21 | 2 363 142 |
Jun 16, 2023 | $1.41 | $1.41 | $1.29 | $1.30 | 4 555 059 |
Jun 15, 2023 | $1.26 | $1.42 | $1.24 | $1.38 | 2 808 563 |
Jun 14, 2023 | $1.37 | $1.43 | $1.26 | $1.27 | 2 981 744 |
Jun 13, 2023 | $1.22 | $1.38 | $1.22 | $1.36 | 2 576 265 |
Jun 12, 2023 | $1.20 | $1.23 | $1.16 | $1.23 | 1 648 699 |
Jun 09, 2023 | $1.28 | $1.25 | $1.17 | $1.19 | 1 445 455 |
Jun 08, 2023 | $1.30 | $1.34 | $1.22 | $1.24 | 1 878 489 |
Jun 07, 2023 | $1.19 | $1.30 | $1.17 | $1.27 | 2 858 215 |
Jun 06, 2023 | $1.12 | $1.19 | $1.10 | $1.17 | 1 825 425 |
Jun 05, 2023 | $1.15 | $1.18 | $1.10 | $1.13 | 1 604 963 |
Jun 02, 2023 | $1.12 | $1.21 | $1.11 | $1.20 | 1 663 355 |
Jun 01, 2023 | $1.11 | $1.13 | $1.08 | $1.12 | 1 773 141 |
May 31, 2023 | $1.15 | $1.16 | $1.07 | $1.07 | 5 522 117 |
May 30, 2023 | $1.16 | $1.20 | $1.13 | $1.19 | 1 594 515 |
May 26, 2023 | $1.12 | $1.17 | $1.11 | $1.13 | 1 326 981 |
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 PTRA stock historical prices to predict future price movements?
Trend Analysis: Examine the PTRA 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 PTRA 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.