NYSE:BBG
Delisted
Bill Barrett Corporation Fund Price (Quote)
$4.84
+0 (+0%)
At Close: Apr 11, 2018
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $4.50 | $4.92 | Wednesday, 11th Apr 2018 BBG stock ended at $4.84. During the day the stock fluctuated 0% from a day low at $4.84 to a day high of $4.84. |
90 days | $4.32 | $5.53 | |
52 weeks | $2.66 | $6.93 |
Date | Open | High | Low | Close | Volume |
Dec 20, 2017 | $4.57 | $4.74 | $4.50 | $4.60 | 3 060 791 |
Dec 19, 2017 | $4.77 | $4.82 | $4.47 | $4.48 | 3 735 437 |
Dec 18, 2017 | $4.65 | $4.72 | $4.54 | $4.66 | 2 758 372 |
Dec 15, 2017 | $4.64 | $4.68 | $4.41 | $4.51 | 5 398 972 |
Dec 14, 2017 | $4.32 | $4.61 | $4.32 | $4.60 | 2 351 855 |
Dec 13, 2017 | $4.45 | $4.71 | $4.27 | $4.39 | 3 638 453 |
Dec 12, 2017 | $4.81 | $4.85 | $4.33 | $4.38 | 4 294 023 |
Dec 11, 2017 | $4.75 | $4.90 | $4.74 | $4.78 | 2 504 937 |
Dec 08, 2017 | $4.70 | $4.87 | $4.69 | $4.74 | 2 922 578 |
Dec 07, 2017 | $4.60 | $4.89 | $4.55 | $4.69 | 3 273 241 |
Dec 06, 2017 | $4.67 | $4.87 | $4.53 | $4.65 | 16 217 676 |
Dec 05, 2017 | $5.90 | $5.99 | $5.70 | $5.72 | 1 170 634 |
Dec 04, 2017 | $5.95 | $6.25 | $5.93 | $5.95 | 1 874 416 |
Dec 01, 2017 | $6.07 | $6.22 | $5.82 | $5.98 | 2 872 243 |
Nov 30, 2017 | $5.87 | $6.24 | $5.79 | $5.85 | 2 175 091 |
Nov 29, 2017 | $5.73 | $5.86 | $5.66 | $5.78 | 1 118 682 |
Nov 28, 2017 | $5.76 | $5.86 | $5.64 | $5.73 | 935 702 |
Nov 27, 2017 | $5.79 | $5.89 | $5.65 | $5.77 | 1 447 917 |
Nov 24, 2017 | $5.81 | $5.94 | $5.72 | $5.87 | 782 936 |
Nov 22, 2017 | $5.79 | $5.90 | $5.65 | $5.68 | 1 309 084 |
Nov 21, 2017 | $6.25 | $6.26 | $5.56 | $5.68 | 3 072 879 |
Nov 20, 2017 | $6.11 | $6.26 | $6.00 | $6.19 | 1 858 924 |
Nov 17, 2017 | $5.96 | $6.23 | $5.96 | $6.16 | 1 510 560 |
Nov 16, 2017 | $5.92 | $5.94 | $5.76 | $5.85 | 2 262 057 |
Nov 15, 2017 | $5.86 | $6.15 | $5.71 | $5.88 | 2 037 682 |
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 BBG stock historical prices to predict future price movements?
Trend Analysis: Examine the BBG 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 BBG 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.