NASDAQ:MLNT
Delisted
Melinta Therapeutics, Inc. Stock Price (Quote)
$0.223
+0 (+0%)
At Close: Apr 15, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.223 | $0.223 | Wednesday, 15th Apr 2020 MLNT stock ended at $0.223. During the day the stock fluctuated 0% from a day low at $0.223 to a day high of $0.223. |
90 days | $0.220 | $0.500 | |
52 weeks | $0.220 | $8.60 |
Date | Open | High | Low | Close | Volume |
Sep 10, 2019 | $2.55 | $3.20 | $2.55 | $3.18 | 702 216 |
Sep 09, 2019 | $2.31 | $2.59 | $2.26 | $2.56 | 360 786 |
Sep 06, 2019 | $2.29 | $2.40 | $2.26 | $2.28 | 263 717 |
Sep 05, 2019 | $2.28 | $2.35 | $2.17 | $2.27 | 222 213 |
Sep 04, 2019 | $2.27 | $2.39 | $2.21 | $2.22 | 391 868 |
Sep 03, 2019 | $2.23 | $2.31 | $2.17 | $2.22 | 417 447 |
Aug 30, 2019 | $2.26 | $2.29 | $2.19 | $2.25 | 100 169 |
Aug 29, 2019 | $2.31 | $2.32 | $2.18 | $2.25 | 169 030 |
Aug 28, 2019 | $2.25 | $2.40 | $2.24 | $2.27 | 396 894 |
Aug 27, 2019 | $2.42 | $2.42 | $2.17 | $2.27 | 412 481 |
Aug 26, 2019 | $2.49 | $2.55 | $2.36 | $2.41 | 185 427 |
Aug 23, 2019 | $2.46 | $2.75 | $2.45 | $2.47 | 356 385 |
Aug 22, 2019 | $2.54 | $2.65 | $2.45 | $2.52 | 159 992 |
Aug 21, 2019 | $2.52 | $2.55 | $2.42 | $2.51 | 316 595 |
Aug 20, 2019 | $2.62 | $2.68 | $2.35 | $2.49 | 334 522 |
Aug 19, 2019 | $2.43 | $2.80 | $2.33 | $2.69 | 683 894 |
Aug 16, 2019 | $2.35 | $2.61 | $2.24 | $2.36 | 400 578 |
Aug 15, 2019 | $2.46 | $2.46 | $2.31 | $2.34 | 311 264 |
Aug 14, 2019 | $2.49 | $2.53 | $2.37 | $2.46 | 274 932 |
Aug 13, 2019 | $2.59 | $2.74 | $2.51 | $2.53 | 300 891 |
Aug 12, 2019 | $2.63 | $2.74 | $2.38 | $2.64 | 332 342 |
Aug 09, 2019 | $3.13 | $3.25 | $2.18 | $2.85 | 1 537 493 |
Aug 08, 2019 | $3.85 | $3.95 | $3.35 | $3.52 | 811 473 |
Aug 07, 2019 | $3.88 | $4.04 | $3.62 | $3.84 | 709 279 |
Aug 06, 2019 | $3.90 | $3.95 | $3.71 | $3.94 | 329 458 |
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 MLNT stock historical prices to predict future price movements?
Trend Analysis: Examine the MLNT 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 MLNT 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.