NASDAQ:EPAY
Delisted
Bottomline Technologies Stock Price (Quote)
$56.99
+0 (+0%)
At Close: Jul 20, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $56.99 | $56.99 | Wednesday, 20th Jul 2022 EPAY stock ended at $56.99. During the day the stock fluctuated 0% from a day low at $56.99 to a day high of $56.99. |
90 days | $56.25 | $56.99 | |
52 weeks | $36.89 | $56.99 |
Date | Open | High | Low | Close | Volume |
Apr 10, 2019 | $48.61 | $49.45 | $48.61 | $49.14 | 345 489 |
Apr 09, 2019 | $49.22 | $49.73 | $48.58 | $48.66 | 225 176 |
Apr 08, 2019 | $48.63 | $49.55 | $47.82 | $49.51 | 187 761 |
Apr 05, 2019 | $49.22 | $49.89 | $48.76 | $48.85 | 197 805 |
Apr 04, 2019 | $49.85 | $50.17 | $48.27 | $48.93 | 226 473 |
Apr 03, 2019 | $51.32 | $51.62 | $49.60 | $49.84 | 282 640 |
Apr 02, 2019 | $50.50 | $51.34 | $50.00 | $51.22 | 154 294 |
Apr 01, 2019 | $50.41 | $50.94 | $49.57 | $50.51 | 179 292 |
Mar 29, 2019 | $49.80 | $50.38 | $49.47 | $50.09 | 237 115 |
Mar 28, 2019 | $48.84 | $50.02 | $48.80 | $49.31 | 161 675 |
Mar 27, 2019 | $48.47 | $48.82 | $47.60 | $48.63 | 188 082 |
Mar 26, 2019 | $48.85 | $49.26 | $48.28 | $48.41 | 205 835 |
Mar 25, 2019 | $49.28 | $49.28 | $47.97 | $48.44 | 150 906 |
Mar 22, 2019 | $50.35 | $50.63 | $48.30 | $48.33 | 281 271 |
Mar 21, 2019 | $49.44 | $51.22 | $49.44 | $50.81 | 179 715 |
Mar 20, 2019 | $49.57 | $50.08 | $48.43 | $49.58 | 263 933 |
Mar 19, 2019 | $49.93 | $50.28 | $49.30 | $49.76 | 178 575 |
Mar 18, 2019 | $49.07 | $50.05 | $48.82 | $49.59 | 215 992 |
Mar 15, 2019 | $49.07 | $50.14 | $48.84 | $49.06 | 449 027 |
Mar 14, 2019 | $48.66 | $49.69 | $48.66 | $49.17 | 136 773 |
Mar 13, 2019 | $48.70 | $49.38 | $48.63 | $48.77 | 175 809 |
Mar 12, 2019 | $48.32 | $48.96 | $47.93 | $48.60 | 140 487 |
Mar 11, 2019 | $47.91 | $48.69 | $47.81 | $48.33 | 203 508 |
Mar 08, 2019 | $47.13 | $47.78 | $46.27 | $47.69 | 163 843 |
Mar 07, 2019 | $48.11 | $48.39 | $47.42 | $47.59 | 146 775 |
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 EPAY stock historical prices to predict future price movements?
Trend Analysis: Examine the EPAY 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 EPAY 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.