NASDAQ:EDGE
Delisted
Edge Therapeutics Stock Price (Quote)
$5.91
+0 (+0%)
At Close: Aug 17, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $5.91 | $5.91 | Wednesday, 17th Aug 2022 EDGE stock ended at $5.91. During the day the stock fluctuated 0% from a day low at $5.91 to a day high of $5.91. |
90 days | $5.91 | $5.91 | |
52 weeks | $4.60 | $17.85 |
Historical Edge Therapeutics prices
Date | Open | High | Low | Close | Volume |
Nov 02, 2020 | $2.13 | $2.13 | $1.96 | $2.07 | 199 636 |
Oct 30, 2020 | $2.06 | $2.14 | $1.94 | $1.99 | 596 728 |
Oct 29, 2020 | $1.92 | $2.24 | $1.90 | $2.14 | 521 147 |
Oct 28, 2020 | $2.05 | $2.05 | $1.87 | $1.91 | 660 156 |
Oct 27, 2020 | $2.08 | $2.16 | $2.03 | $2.08 | 150 545 |
Oct 26, 2020 | $2.22 | $2.25 | $2.03 | $2.11 | 172 838 |
Oct 23, 2020 | $2.21 | $2.26 | $2.13 | $2.23 | 70 303 |
Oct 22, 2020 | $2.05 | $2.30 | $1.94 | $2.22 | 548 447 |
Oct 21, 2020 | $2.18 | $2.19 | $1.97 | $2.06 | 528 157 |
Oct 20, 2020 | $2.27 | $2.31 | $2.12 | $2.18 | 322 891 |
Oct 19, 2020 | $2.37 | $2.41 | $2.21 | $2.28 | 169 160 |
Oct 16, 2020 | $2.33 | $2.39 | $2.28 | $2.37 | 131 465 |
Oct 15, 2020 | $2.29 | $2.39 | $2.26 | $2.36 | 90 354 |
Oct 14, 2020 | $2.46 | $2.46 | $2.32 | $2.35 | 98 646 |
Oct 13, 2020 | $2.23 | $2.49 | $2.23 | $2.47 | 507 082 |
Oct 12, 2020 | $2.29 | $2.30 | $2.21 | $2.28 | 158 561 |
Oct 09, 2020 | $2.29 | $2.36 | $2.25 | $2.33 | 147 536 |
Oct 08, 2020 | $2.40 | $2.41 | $2.29 | $2.32 | 151 622 |
Oct 07, 2020 | $2.40 | $2.46 | $2.33 | $2.39 | 118 067 |
Oct 06, 2020 | $2.24 | $2.49 | $2.20 | $2.40 | 368 811 |
Oct 05, 2020 | $2.18 | $2.31 | $2.15 | $2.25 | 304 935 |
Oct 02, 2020 | $2.17 | $2.23 | $2.12 | $2.19 | 268 565 |
Oct 01, 2020 | $2.33 | $2.44 | $2.15 | $2.24 | 388 948 |
Sep 30, 2020 | $2.32 | $2.44 | $2.29 | $2.33 | 372 315 |
Sep 29, 2020 | $2.32 | $2.41 | $2.28 | $2.33 | 225 303 |
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 EDGE stock historical prices to predict future price movements?
Trend Analysis: Examine the EDGE 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 EDGE 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.