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 |
Sep 07, 2021 | $2.13 | $2.45 | $2.10 | $2.18 | 16 715 716 |
Sep 03, 2021 | $2.13 | $2.21 | $2.04 | $2.15 | 15 155 915 |
Sep 02, 2021 | $2.13 | $2.29 | $2.09 | $2.14 | 14 000 935 |
Sep 01, 2021 | $2.28 | $2.31 | $2.06 | $2.10 | 16 221 369 |
Aug 31, 2021 | $1.98 | $2.36 | $1.94 | $2.29 | 21 531 004 |
Aug 30, 2021 | $2.35 | $2.41 | $2.29 | $2.30 | 6 118 896 |
Aug 27, 2021 | $2.40 | $2.42 | $2.29 | $2.32 | 7 323 376 |
Aug 26, 2021 | $2.54 | $2.55 | $2.36 | $2.40 | 6 824 314 |
Aug 25, 2021 | $2.62 | $2.63 | $2.49 | $2.53 | 7 659 613 |
Aug 24, 2021 | $2.64 | $2.72 | $2.41 | $2.64 | 11 067 091 |
Aug 23, 2021 | $2.26 | $2.72 | $2.20 | $2.68 | 33 222 127 |
Aug 20, 2021 | $2.46 | $2.70 | $2.11 | $2.13 | 44 757 984 |
Aug 19, 2021 | $3.70 | $3.73 | $3.46 | $3.55 | 5 253 895 |
Aug 18, 2021 | $3.78 | $3.90 | $3.70 | $3.70 | 2 550 731 |
Aug 17, 2021 | $3.76 | $3.85 | $3.69 | $3.78 | 2 361 691 |
Aug 16, 2021 | $3.89 | $3.92 | $3.78 | $3.79 | 1 863 189 |
Aug 13, 2021 | $4.16 | $4.16 | $3.90 | $3.91 | 2 310 995 |
Aug 12, 2021 | $3.91 | $4.19 | $3.86 | $4.14 | 3 692 608 |
Aug 11, 2021 | $4.37 | $4.37 | $3.83 | $3.88 | 9 300 487 |
Aug 10, 2021 | $4.41 | $4.46 | $4.17 | $4.35 | 3 867 280 |
Aug 09, 2021 | $4.31 | $4.49 | $4.19 | $4.43 | 4 418 531 |
Aug 06, 2021 | $4.75 | $4.83 | $4.24 | $4.31 | 8 523 402 |
Aug 05, 2021 | $4.55 | $4.79 | $4.55 | $4.69 | 3 707 559 |
Aug 04, 2021 | $4.66 | $4.87 | $4.50 | $4.55 | 4 886 071 |
Aug 03, 2021 | $4.98 | $4.98 | $4.57 | $4.61 | 5 679 654 |
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.