NASDAQ:ENDP
Delisted
Endo Stock Price (Quote)
$0.108
+0 (+0%)
At Close: Jan 27, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.108 | $0.108 | Friday, 27th Jan 2023 ENDP stock ended at $0.108. During the day the stock fluctuated 0% from a day low at $0.108 to a day high of $0.108. |
90 days | $0.108 | $0.108 | |
52 weeks | $0.0850 | $3.49 |
Date | Open | High | Low | Close | Volume |
Apr 22, 2019 | $7.08 | $7.35 | $6.87 | $7.15 | 2 047 366 |
Apr 18, 2019 | $7.22 | $7.26 | $6.93 | $7.12 | 2 615 470 |
Apr 17, 2019 | $7.62 | $7.63 | $7.02 | $7.15 | 3 756 081 |
Apr 16, 2019 | $7.60 | $7.68 | $7.49 | $7.52 | 1 530 254 |
Apr 15, 2019 | $7.56 | $7.63 | $7.34 | $7.55 | 2 164 768 |
Apr 12, 2019 | $7.94 | $8.03 | $7.43 | $7.54 | 3 327 771 |
Apr 11, 2019 | $8.31 | $8.36 | $7.79 | $7.90 | 2 785 189 |
Apr 10, 2019 | $8.15 | $8.33 | $8.10 | $8.31 | 1 575 119 |
Apr 09, 2019 | $8.32 | $8.38 | $8.06 | $8.15 | 1 905 728 |
Apr 08, 2019 | $8.22 | $8.43 | $8.17 | $8.37 | 1 758 247 |
Apr 05, 2019 | $8.06 | $8.30 | $8.02 | $8.20 | 2 751 407 |
Apr 04, 2019 | $7.84 | $8.03 | $7.78 | $8.01 | 2 411 763 |
Apr 03, 2019 | $8.04 | $8.04 | $7.69 | $7.81 | 2 983 397 |
Apr 02, 2019 | $8.22 | $8.25 | $7.95 | $7.95 | 3 519 344 |
Apr 01, 2019 | $8.10 | $8.35 | $7.99 | $8.20 | 2 490 105 |
Mar 29, 2019 | $8.04 | $8.17 | $7.98 | $8.03 | 3 322 692 |
Mar 28, 2019 | $8.18 | $8.18 | $7.70 | $8.01 | 4 542 832 |
Mar 27, 2019 | $8.20 | $8.36 | $7.91 | $8.15 | 2 396 054 |
Mar 26, 2019 | $8.45 | $9.10 | $8.10 | $8.21 | 5 610 219 |
Mar 25, 2019 | $8.36 | $8.39 | $8.08 | $8.26 | 1 966 468 |
Mar 22, 2019 | $8.67 | $8.78 | $8.18 | $8.33 | 3 523 848 |
Mar 21, 2019 | $8.88 | $8.95 | $8.55 | $8.76 | 3 035 534 |
Mar 20, 2019 | $8.89 | $8.96 | $8.71 | $8.73 | 3 665 383 |
Mar 19, 2019 | $8.61 | $8.88 | $8.57 | $8.77 | 2 389 607 |
Mar 18, 2019 | $8.47 | $8.72 | $8.44 | $8.59 | 1 759 356 |
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 ENDP stock historical prices to predict future price movements?
Trend Analysis: Examine the ENDP 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 ENDP 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.