NASDAQ:ELGX
Delisted
Endologix Stock Price (Quote)
$0.0737
+0 (+0%)
At Close: May 27, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0737 | $0.0737 | Friday, 27th May 2022 ELGX stock ended at $0.0737. During the day the stock fluctuated 0% from a day low at $0.0737 to a day high of $0.0737. |
90 days | $0.0737 | $0.0737 | |
52 weeks | $0.0737 | $0.0737 |
Historical Endologix prices
Date | Open | High | Low | Close | Volume |
Jul 16, 2018 | $5.50 | $5.51 | $5.41 | $5.51 | 214 362 |
Jul 13, 2018 | $5.61 | $5.61 | $5.42 | $5.50 | 325 912 |
Jul 12, 2018 | $5.61 | $5.63 | $5.54 | $5.59 | 177 565 |
Jul 11, 2018 | $5.58 | $5.66 | $5.56 | $5.59 | 203 035 |
Jul 10, 2018 | $5.75 | $5.78 | $5.57 | $5.58 | 284 328 |
Jul 09, 2018 | $5.80 | $5.85 | $5.59 | $5.71 | 248 323 |
Jul 06, 2018 | $5.70 | $5.84 | $5.68 | $5.78 | 328 429 |
Jul 05, 2018 | $5.61 | $5.72 | $5.54 | $5.70 | 218 464 |
Jul 03, 2018 | $5.66 | $5.66 | $5.56 | $5.60 | 154 181 |
Jul 02, 2018 | $5.65 | $5.68 | $5.52 | $5.65 | 237 995 |
Jun 29, 2018 | $5.84 | $5.90 | $5.65 | $5.66 | 375 003 |
Jun 28, 2018 | $5.81 | $5.89 | $5.67 | $5.82 | 594 875 |
Jun 27, 2018 | $5.82 | $5.93 | $5.63 | $5.83 | 558 630 |
Jun 26, 2018 | $5.69 | $5.95 | $5.60 | $5.85 | 508 523 |
Jun 25, 2018 | $5.83 | $5.83 | $5.58 | $5.67 | 459 368 |
Jun 22, 2018 | $5.75 | $5.95 | $5.65 | $5.86 | 1 246 125 |
Jun 21, 2018 | $6.40 | $6.40 | $5.66 | $5.75 | 670 711 |
Jun 20, 2018 | $6.32 | $6.42 | $6.24 | $6.40 | 739 418 |
Jun 19, 2018 | $6.30 | $6.35 | $6.11 | $6.28 | 774 388 |
Jun 18, 2018 | $6.58 | $6.67 | $6.19 | $6.34 | 864 399 |
Jun 15, 2018 | $6.60 | $6.72 | $6.50 | $6.59 | 1 018 686 |
Jun 14, 2018 | $6.43 | $6.64 | $6.30 | $6.63 | 386 998 |
Jun 13, 2018 | $6.39 | $6.59 | $6.30 | $6.40 | 510 269 |
Jun 12, 2018 | $6.15 | $6.43 | $6.15 | $6.38 | 257 730 |
Jun 11, 2018 | $6.07 | $6.33 | $6.01 | $6.14 | 618 863 |
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 ELGX stock historical prices to predict future price movements?
Trend Analysis: Examine the ELGX 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 ELGX 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.