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 |
Oct 21, 2021 | $9.73 | $9.90 | $9.65 | $9.83 | 901 050 |
Oct 20, 2021 | $9.70 | $9.83 | $9.56 | $9.72 | 1 193 809 |
Oct 19, 2021 | $9.58 | $9.78 | $9.50 | $9.67 | 1 106 193 |
Oct 18, 2021 | $9.65 | $9.79 | $9.52 | $9.57 | 1 292 680 |
Oct 15, 2021 | $9.87 | $10.25 | $9.70 | $9.77 | 1 388 074 |
Oct 14, 2021 | $9.88 | $9.92 | $9.64 | $9.81 | 943 351 |
Oct 13, 2021 | $9.40 | $9.79 | $9.29 | $9.77 | 1 421 833 |
Oct 12, 2021 | $9.06 | $9.35 | $8.96 | $9.23 | 1 057 659 |
Oct 11, 2021 | $9.09 | $9.30 | $8.95 | $8.96 | 1 076 113 |
Oct 08, 2021 | $9.33 | $9.41 | $9.07 | $9.08 | 1 138 098 |
Oct 07, 2021 | $9.36 | $9.57 | $9.30 | $9.33 | 1 181 099 |
Oct 06, 2021 | $9.24 | $9.46 | $9.06 | $9.25 | 1 400 575 |
Oct 05, 2021 | $9.54 | $9.74 | $9.42 | $9.60 | 1 085 246 |
Oct 04, 2021 | $10.05 | $10.05 | $9.41 | $9.52 | 2 255 651 |
Oct 01, 2021 | $10.15 | $10.15 | $9.88 | $10.06 | 1 274 997 |
Sep 30, 2021 | $10.39 | $10.39 | $9.95 | $10.11 | 1 267 046 |
Sep 29, 2021 | $10.62 | $11.05 | $10.22 | $10.25 | 1 801 520 |
Sep 28, 2021 | $10.65 | $10.78 | $10.33 | $10.62 | 2 777 816 |
Sep 27, 2021 | $10.10 | $10.99 | $10.02 | $10.87 | 1 849 570 |
Sep 24, 2021 | $10.16 | $10.26 | $9.87 | $10.12 | 1 740 377 |
Sep 23, 2021 | $10.32 | $10.55 | $10.25 | $10.41 | 1 269 058 |
Sep 22, 2021 | $10.00 | $10.30 | $10.00 | $10.19 | 1 121 969 |
Sep 21, 2021 | $10.02 | $10.05 | $9.62 | $10.00 | 1 722 247 |
Sep 20, 2021 | $9.94 | $10.06 | $9.71 | $10.00 | 1 974 344 |
Sep 17, 2021 | $10.25 | $10.55 | $10.21 | $10.32 | 12 109 650 |
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.