NASDAQ:BURG
Delisted
Chanticleer Holdings Inc. Stock Price (Quote)
$0.303
+0 (+0%)
At Close: Aug 17, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.303 | $0.303 | Wednesday, 17th Aug 2022 BURG stock ended at $0.303. During the day the stock fluctuated 0% from a day low at $0.303 to a day high of $0.303. |
90 days | $0.303 | $0.303 | |
52 weeks | $0.255 | $2.07 |
Historical Chanticleer Holdings Inc. prices
Date | Open | High | Low | Close | Volume |
Jan 14, 2021 | $2.43 | $2.51 | $2.43 | $2.48 | 374 252 |
Jan 13, 2021 | $2.60 | $2.62 | $2.41 | $2.44 | 633 042 |
Jan 12, 2021 | $2.51 | $2.65 | $2.50 | $2.60 | 965 762 |
Jan 11, 2021 | $2.45 | $2.55 | $2.41 | $2.50 | 758 204 |
Jan 08, 2021 | $2.40 | $2.47 | $2.38 | $2.42 | 416 559 |
Jan 07, 2021 | $2.37 | $2.45 | $2.36 | $2.41 | 508 841 |
Jan 06, 2021 | $2.34 | $2.49 | $2.32 | $2.34 | 1 367 083 |
Jan 05, 2021 | $2.30 | $2.37 | $2.27 | $2.34 | 332 126 |
Jan 04, 2021 | $2.22 | $2.30 | $2.22 | $2.30 | 444 083 |
Dec 31, 2020 | $2.26 | $2.28 | $2.22 | $2.23 | 644 230 |
Dec 30, 2020 | $2.25 | $2.29 | $2.25 | $2.25 | 481 947 |
Dec 29, 2020 | $2.37 | $2.37 | $2.25 | $2.26 | 534 857 |
Dec 28, 2020 | $2.34 | $2.42 | $2.34 | $2.37 | 828 875 |
Dec 24, 2020 | $2.30 | $2.32 | $2.27 | $2.29 | 305 987 |
Dec 23, 2020 | $2.31 | $2.33 | $2.21 | $2.31 | 894 689 |
Dec 22, 2020 | $2.36 | $2.36 | $2.27 | $2.31 | 411 045 |
Dec 21, 2020 | $2.36 | $2.37 | $2.25 | $2.35 | 854 178 |
Dec 18, 2020 | $2.38 | $2.40 | $2.34 | $2.36 | 362 256 |
Dec 17, 2020 | $2.25 | $2.44 | $2.20 | $2.34 | 1 769 340 |
Dec 16, 2020 | $2.62 | $2.62 | $2.45 | $2.49 | 731 618 |
Dec 15, 2020 | $2.70 | $2.70 | $2.53 | $2.57 | 693 550 |
Dec 14, 2020 | $2.62 | $2.69 | $2.57 | $2.65 | 815 895 |
Dec 11, 2020 | $2.71 | $2.78 | $2.60 | $2.61 | 624 668 |
Dec 10, 2020 | $2.70 | $2.79 | $2.64 | $2.74 | 501 284 |
Dec 09, 2020 | $2.76 | $2.78 | $2.65 | $2.72 | 721 748 |
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 BURG stock historical prices to predict future price movements?
Trend Analysis: Examine the BURG 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 BURG 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.