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 |
Aug 04, 2016 | $20.85 | $20.95 | $20.64 | $20.82 | 242 700 |
Aug 03, 2016 | $20.81 | $21.29 | $20.67 | $20.85 | 157 600 |
Aug 02, 2016 | $21.39 | $21.39 | $20.83 | $20.83 | 195 900 |
Aug 01, 2016 | $21.18 | $22.37 | $21.05 | $21.46 | 218 600 |
Jul 29, 2016 | $21.20 | $21.83 | $20.87 | $21.11 | 365 200 |
Jul 28, 2016 | $20.97 | $21.21 | $20.87 | $21.14 | 314 500 |
Jul 27, 2016 | $21.07 | $21.07 | $20.81 | $20.95 | 265 500 |
Jul 26, 2016 | $21.13 | $21.60 | $20.85 | $20.98 | 380 900 |
Jul 25, 2016 | $21.39 | $21.46 | $21.12 | $21.14 | 230 400 |
Jul 22, 2016 | $21.37 | $22.19 | $21.10 | $21.39 | 203 700 |
Jul 21, 2016 | $21.52 | $21.66 | $21.28 | $21.28 | 202 300 |
Jul 20, 2016 | $21.71 | $22.52 | $21.46 | $21.57 | 222 400 |
Jul 19, 2016 | $21.91 | $22.23 | $21.57 | $21.59 | 213 500 |
Jul 18, 2016 | $22.10 | $22.24 | $21.78 | $21.90 | 189 000 |
Jul 15, 2016 | $22.35 | $22.56 | $21.00 | $22.17 | 319 200 |
Jul 14, 2016 | $22.34 | $22.49 | $21.94 | $22.22 | 174 900 |
Jul 13, 2016 | $22.24 | $22.34 | $21.92 | $22.10 | 398 200 |
Jul 12, 2016 | $22.04 | $22.29 | $21.90 | $22.10 | 581 500 |
Jul 11, 2016 | $21.63 | $22.09 | $21.63 | $21.94 | 401 800 |
Jul 08, 2016 | $21.43 | $21.65 | $21.29 | $21.47 | 299 300 |
Jul 07, 2016 | $21.24 | $21.62 | $21.10 | $21.26 | 173 000 |
Jul 06, 2016 | $21.28 | $21.37 | $21.04 | $21.25 | 239 700 |
Jul 05, 2016 | $21.76 | $21.84 | $21.18 | $21.39 | 203 600 |
Jul 01, 2016 | $21.53 | $21.92 | $21.53 | $21.91 | 378 700 |
Jun 30, 2016 | $21.43 | $21.70 | $21.39 | $21.53 | 526 700 |
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.