NASDAQ:NBEV
Delisted
NewAge Corp Stock Price (Quote)
$0.0004
+0 (+0%)
At Close: Jan 27, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0002 | $0.0400 | Friday, 27th Jan 2023 NBEV stock ended at $0.0004. During the day the stock fluctuated 33.33% from a day low at $0.0003 to a day high of $0.0004. |
90 days | $0.0002 | $0.0400 | |
52 weeks | $0.0001 | $0.789 |
Date | Open | High | Low | Close | Volume |
Dec 22, 2021 | $1.10 | $1.16 | $1.10 | $1.14 | 673 723 |
Dec 21, 2021 | $1.09 | $1.16 | $1.08 | $1.15 | 797 429 |
Dec 20, 2021 | $1.09 | $1.10 | $1.07 | $1.07 | 1 153 855 |
Dec 17, 2021 | $1.05 | $1.14 | $1.04 | $1.11 | 1 330 496 |
Dec 16, 2021 | $1.09 | $1.14 | $1.05 | $1.06 | 1 007 182 |
Dec 15, 2021 | $1.05 | $1.10 | $1.00 | $1.07 | 1 282 761 |
Dec 14, 2021 | $1.06 | $1.09 | $1.05 | $1.06 | 1 219 387 |
Dec 13, 2021 | $1.12 | $1.14 | $1.07 | $1.10 | 804 482 |
Dec 10, 2021 | $1.15 | $1.17 | $1.12 | $1.12 | 410 958 |
Dec 09, 2021 | $1.17 | $1.21 | $1.13 | $1.15 | 700 393 |
Dec 08, 2021 | $1.21 | $1.22 | $1.17 | $1.19 | 689 851 |
Dec 07, 2021 | $1.19 | $1.21 | $1.18 | $1.19 | 798 404 |
Dec 06, 2021 | $1.11 | $1.16 | $1.09 | $1.14 | 643 749 |
Dec 03, 2021 | $1.19 | $1.19 | $1.10 | $1.11 | 978 807 |
Dec 02, 2021 | $1.12 | $1.19 | $1.09 | $1.19 | 1 374 642 |
Dec 01, 2021 | $1.15 | $1.17 | $1.11 | $1.11 | 1 134 852 |
Nov 30, 2021 | $1.21 | $1.21 | $1.13 | $1.13 | 1 666 543 |
Nov 29, 2021 | $1.25 | $1.26 | $1.20 | $1.20 | 1 241 571 |
Nov 26, 2021 | $1.26 | $1.26 | $1.21 | $1.24 | 1 195 556 |
Nov 24, 2021 | $1.29 | $1.29 | $1.25 | $1.27 | 1 908 888 |
Nov 23, 2021 | $1.55 | $1.57 | $1.25 | $1.26 | 7 373 368 |
Nov 22, 2021 | $1.20 | $1.74 | $1.16 | $1.63 | 19 729 630 |
Nov 19, 2021 | $1.22 | $1.23 | $1.18 | $1.18 | 832 451 |
Nov 18, 2021 | $1.23 | $1.26 | $1.16 | $1.24 | 1 864 305 |
Nov 17, 2021 | $1.32 | $1.32 | $1.24 | $1.25 | 1 833 591 |
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 NBEV stock historical prices to predict future price movements?
Trend Analysis: Examine the NBEV 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 NBEV 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.