NASDAQ:MGNX
MacroGenics Stock Price (Quote)
$4.09
-0.150 (-3.54%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3.15 | $16.44 | Friday, 31st May 2024 MGNX stock ended at $4.09. This is 3.54% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 8.62% from a day low at $4.06 to a day high of $4.41. |
90 days | $3.15 | $21.88 | |
52 weeks | $3.15 | $21.88 |
Historical MacroGenics prices
Date | Open | High | Low | Close | Volume |
Oct 26, 2022 | $4.99 | $5.10 | $4.59 | $4.62 | 999 444 |
Oct 25, 2022 | $4.39 | $5.09 | $4.39 | $4.95 | 1 253 077 |
Oct 24, 2022 | $4.85 | $4.85 | $4.10 | $4.40 | 1 393 081 |
Oct 21, 2022 | $4.02 | $4.83 | $3.96 | $4.80 | 2 051 712 |
Oct 20, 2022 | $3.99 | $4.13 | $3.88 | $4.02 | 1 348 747 |
Oct 19, 2022 | $3.92 | $4.11 | $3.46 | $3.82 | 1 052 616 |
Oct 18, 2022 | $4.08 | $4.11 | $3.81 | $3.92 | 892 167 |
Oct 17, 2022 | $3.79 | $4.20 | $3.39 | $3.96 | 5 731 794 |
Oct 14, 2022 | $3.45 | $3.59 | $3.42 | $3.52 | 419 184 |
Oct 13, 2022 | $3.22 | $3.48 | $3.21 | $3.41 | 365 201 |
Oct 12, 2022 | $3.38 | $3.44 | $3.15 | $3.34 | 257 826 |
Oct 11, 2022 | $3.50 | $3.55 | $3.24 | $3.36 | 269 764 |
Oct 10, 2022 | $3.47 | $3.52 | $3.34 | $3.44 | 256 620 |
Oct 07, 2022 | $3.68 | $3.78 | $3.51 | $3.52 | 413 943 |
Oct 06, 2022 | $3.44 | $3.78 | $3.44 | $3.75 | 855 267 |
Oct 05, 2022 | $3.61 | $3.68 | $3.41 | $3.45 | 328 674 |
Oct 04, 2022 | $3.56 | $3.73 | $3.56 | $3.71 | 336 996 |
Oct 03, 2022 | $3.57 | $3.57 | $3.35 | $3.50 | 309 803 |
Sep 30, 2022 | $3.40 | $3.61 | $3.38 | $3.46 | 375 285 |
Sep 29, 2022 | $3.58 | $3.58 | $3.39 | $3.41 | 351 610 |
Sep 28, 2022 | $3.57 | $3.72 | $3.57 | $3.64 | 479 171 |
Sep 27, 2022 | $3.25 | $3.51 | $3.19 | $3.50 | 974 227 |
Sep 26, 2022 | $3.00 | $3.28 | $3.00 | $3.21 | 588 082 |
Sep 23, 2022 | $3.00 | $3.07 | $2.93 | $3.04 | 451 015 |
Sep 22, 2022 | $3.12 | $3.12 | $2.97 | $3.01 | 1 070 592 |
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 MGNX stock historical prices to predict future price movements?
Trend Analysis: Examine the MGNX 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 MGNX 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.