NASDAQ:BGRY
Delisted
Berkshire Grey, Inc. Stock Price (Quote)
$1.40
+0 (+0%)
At Close: Oct 18, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.40 | $1.40 | Wednesday, 18th Oct 2023 BGRY stock ended at $1.40. During the day the stock fluctuated 0% from a day low at $1.40 to a day high of $1.40. |
90 days | $1.40 | $1.40 | |
52 weeks | $0.510 | $2.51 |
Date | Open | High | Low | Close | Volume |
Feb 06, 2023 | $1.27 | $1.61 | $1.26 | $1.59 | 2 812 967 |
Feb 03, 2023 | $1.35 | $1.37 | $1.26 | $1.30 | 531 003 |
Feb 02, 2023 | $1.45 | $1.50 | $1.32 | $1.35 | 1 564 424 |
Feb 01, 2023 | $1.13 | $1.32 | $1.12 | $1.30 | 1 611 595 |
Jan 31, 2023 | $1.00 | $1.15 | $1.00 | $1.13 | 623 013 |
Jan 30, 2023 | $1.15 | $1.15 | $0.99 | $1.00 | 415 774 |
Jan 27, 2023 | $0.88 | $1.05 | $0.88 | $1.04 | 582 722 |
Jan 26, 2023 | $0.95 | $0.98 | $0.85 | $0.88 | 397 173 |
Jan 25, 2023 | $0.93 | $0.95 | $0.90 | $0.94 | 222 307 |
Jan 24, 2023 | $0.96 | $0.98 | $0.92 | $0.94 | 216 074 |
Jan 23, 2023 | $0.96 | $1.00 | $0.92 | $0.93 | 399 190 |
Jan 20, 2023 | $0.89 | $0.96 | $0.81 | $0.95 | 524 195 |
Jan 19, 2023 | $0.84 | $0.94 | $0.82 | $0.83 | 1 037 200 |
Jan 18, 2023 | $1.03 | $1.05 | $0.86 | $0.87 | 801 600 |
Jan 17, 2023 | $1.12 | $1.15 | $1.01 | $1.02 | 910 317 |
Jan 13, 2023 | $1.25 | $1.32 | $1.03 | $1.15 | 1 521 803 |
Jan 12, 2023 | $1.05 | $1.29 | $1.02 | $1.16 | 2 256 447 |
Jan 11, 2023 | $0.95 | $1.02 | $0.92 | $1.00 | 437 600 |
Jan 10, 2023 | $0.85 | $0.91 | $0.84 | $0.90 | 244 000 |
Jan 09, 2023 | $0.84 | $0.95 | $0.84 | $0.85 | 536 100 |
Jan 06, 2023 | $0.85 | $0.86 | $0.760 | $0.84 | 501 400 |
Jan 05, 2023 | $0.760 | $0.88 | $0.730 | $0.780 | 429 451 |
Jan 04, 2023 | $0.650 | $0.800 | $0.650 | $0.719 | 542 467 |
Jan 03, 2023 | $0.620 | $0.698 | $0.580 | $0.680 | 342 739 |
Dec 30, 2022 | $0.600 | $0.627 | $0.555 | $0.604 | 448 111 |
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 BGRY stock historical prices to predict future price movements?
Trend Analysis: Examine the BGRY 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 BGRY 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.