NYSE:BETR
Delisted
Amplify Snack Brands inc Fund Price (Quote)
$12.00
+0 (+0%)
At Close: Jul 22, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $12.00 | $12.00 | Monday, 22nd Jul 2019 BETR stock ended at $12.00. During the day the stock fluctuated 0% from a day low at $12.00 to a day high of $12.00. |
90 days | $12.00 | $12.00 | |
52 weeks | $12.00 | $12.00 |
Date | Open | High | Low | Close | Volume |
Dec 28, 2017 | $12.06 | $12.09 | $11.99 | $12.01 | 809 456 |
Dec 27, 2017 | $12.10 | $12.11 | $12.03 | $12.03 | 288 545 |
Dec 26, 2017 | $12.11 | $12.12 | $12.02 | $12.06 | 873 305 |
Dec 22, 2017 | $12.02 | $12.15 | $12.00 | $12.14 | 938 323 |
Dec 21, 2017 | $12.03 | $12.07 | $12.03 | $12.03 | 947 095 |
Dec 20, 2017 | $12.00 | $12.08 | $12.00 | $12.05 | 1 479 716 |
Dec 19, 2017 | $11.98 | $12.02 | $11.96 | $12.01 | 5 421 745 |
Dec 18, 2017 | $11.95 | $12.01 | $11.93 | $12.01 | 56 890 090 |
Dec 15, 2017 | $7.17 | $7.33 | $6.94 | $7.00 | 1 670 532 |
Dec 14, 2017 | $6.92 | $7.48 | $6.84 | $7.18 | 1 123 810 |
Dec 13, 2017 | $6.48 | $7.22 | $6.47 | $6.96 | 4 514 440 |
Dec 12, 2017 | $6.49 | $6.63 | $6.36 | $6.40 | 1 091 050 |
Dec 11, 2017 | $6.44 | $6.56 | $6.33 | $6.48 | 1 852 214 |
Dec 08, 2017 | $6.47 | $6.52 | $6.21 | $6.45 | 471 596 |
Dec 07, 2017 | $6.38 | $6.53 | $6.24 | $6.41 | 799 920 |
Dec 06, 2017 | $6.33 | $6.46 | $6.07 | $6.36 | 596 320 |
Dec 05, 2017 | $5.79 | $6.41 | $5.74 | $6.31 | 904 671 |
Dec 04, 2017 | $5.58 | $5.91 | $5.58 | $5.81 | 487 931 |
Dec 01, 2017 | $5.82 | $5.82 | $5.50 | $5.52 | 663 159 |
Nov 30, 2017 | $5.60 | $6.04 | $5.60 | $5.80 | 1 819 686 |
Nov 29, 2017 | $5.60 | $5.70 | $5.47 | $5.52 | 712 586 |
Nov 28, 2017 | $5.34 | $5.65 | $5.26 | $5.58 | 542 651 |
Nov 27, 2017 | $5.28 | $5.39 | $5.22 | $5.32 | 302 404 |
Nov 24, 2017 | $5.23 | $5.41 | $5.17 | $5.27 | 187 429 |
Nov 22, 2017 | $5.30 | $5.36 | $5.20 | $5.22 | 218 859 |
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 BETR stock historical prices to predict future price movements?
Trend Analysis: Examine the BETR 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 BETR 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.