NASDAQ:MGNX
MacroGenics Stock Price (Quote)
$4.37
-0.755 (-14.75%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3.15 | $16.83 | Friday, 17th May 2024 MGNX stock ended at $4.37. This is 14.75% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 19.82% from a day low at $4.34 to a day high of $5.20. |
90 days | $3.15 | $21.88 | |
52 weeks | $3.15 | $21.88 |
Date | Open | High | Low | Close | Volume |
Feb 16, 2017 | $20.48 | $21.26 | $20.17 | $21.09 | 380 955 |
Feb 15, 2017 | $19.25 | $20.59 | $19.11 | $20.53 | 286 117 |
Feb 14, 2017 | $19.31 | $19.53 | $18.85 | $19.30 | 113 395 |
Feb 13, 2017 | $19.42 | $20.00 | $19.10 | $19.34 | 280 588 |
Feb 10, 2017 | $19.05 | $19.66 | $18.85 | $19.31 | 106 192 |
Feb 09, 2017 | $18.30 | $19.05 | $18.30 | $18.98 | 164 577 |
Feb 08, 2017 | $18.51 | $18.61 | $18.05 | $18.30 | 101 316 |
Feb 07, 2017 | $19.15 | $19.18 | $18.44 | $18.63 | 136 154 |
Feb 06, 2017 | $18.94 | $19.19 | $18.66 | $19.13 | 182 764 |
Feb 03, 2017 | $18.46 | $19.16 | $18.26 | $19.00 | 268 358 |
Feb 02, 2017 | $18.23 | $18.48 | $17.82 | $18.25 | 134 886 |
Feb 01, 2017 | $18.56 | $18.63 | $18.08 | $18.35 | 213 018 |
Jan 31, 2017 | $17.69 | $18.50 | $17.55 | $18.47 | 266 534 |
Jan 30, 2017 | $18.25 | $18.37 | $17.80 | $17.91 | 143 186 |
Jan 27, 2017 | $18.28 | $18.58 | $18.10 | $18.39 | 162 573 |
Jan 26, 2017 | $18.57 | $18.79 | $18.15 | $18.23 | 155 407 |
Jan 25, 2017 | $18.64 | $18.81 | $18.24 | $18.55 | 245 724 |
Jan 24, 2017 | $19.45 | $19.73 | $18.21 | $18.52 | 422 528 |
Jan 23, 2017 | $19.48 | $19.58 | $18.93 | $19.41 | 282 672 |
Jan 20, 2017 | $19.35 | $19.66 | $19.15 | $19.57 | 243 526 |
Jan 19, 2017 | $19.29 | $19.49 | $19.00 | $19.30 | 199 128 |
Jan 18, 2017 | $19.55 | $19.55 | $18.94 | $19.30 | 224 646 |
Jan 17, 2017 | $19.91 | $19.91 | $19.07 | $19.35 | 243 556 |
Jan 13, 2017 | $19.86 | $20.70 | $19.56 | $20.22 | 275 638 |
Jan 12, 2017 | $19.51 | $20.14 | $19.01 | $19.84 | 159 587 |
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.