NASDAQ:NMTR
Delisted
9 Meters Biopharma, Inc. Stock Price (Quote)
$0.0722
+0 (+0%)
At Close: Nov 20, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0722 | $0.0722 | Monday, 20th Nov 2023 NMTR stock ended at $0.0722. During the day the stock fluctuated 0% from a day low at $0.0722 to a day high of $0.0722. |
90 days | $0.0722 | $0.0722 | |
52 weeks | $0.0150 | $2.79 |
Date | Open | High | Low | Close | Volume |
Aug 14, 2018 | $4.90 | $5.19 | $4.56 | $4.95 | 496 281 |
Aug 13, 2018 | $5.30 | $5.64 | $4.52 | $4.67 | 668 999 |
Aug 10, 2018 | $5.98 | $6.00 | $5.20 | $5.43 | 847 458 |
Aug 09, 2018 | $5.49 | $6.38 | $5.10 | $6.05 | 1 366 495 |
Aug 08, 2018 | $4.50 | $5.92 | $4.38 | $5.62 | 1 321 729 |
Aug 07, 2018 | $4.45 | $4.59 | $4.20 | $4.54 | 363 831 |
Aug 06, 2018 | $4.85 | $4.89 | $4.30 | $4.46 | 348 720 |
Aug 03, 2018 | $4.90 | $5.05 | $4.62 | $4.84 | 274 001 |
Aug 02, 2018 | $5.18 | $5.33 | $4.57 | $4.90 | 634 884 |
Aug 01, 2018 | $5.18 | $5.55 | $5.11 | $5.21 | 367 688 |
Jul 31, 2018 | $5.75 | $5.79 | $5.17 | $5.22 | 670 985 |
Jul 30, 2018 | $6.76 | $6.95 | $5.40 | $5.48 | 951 981 |
Jul 27, 2018 | $7.16 | $7.50 | $6.72 | $6.81 | 767 254 |
Jul 26, 2018 | $7.16 | $7.65 | $7.10 | $7.20 | 820 544 |
Jul 25, 2018 | $6.66 | $7.73 | $6.56 | $7.48 | 2 746 815 |
Jul 24, 2018 | $5.43 | $7.17 | $5.42 | $6.64 | 1 995 711 |
Jul 23, 2018 | $6.24 | $6.24 | $5.12 | $5.33 | 1 744 440 |
Jul 20, 2018 | $6.59 | $6.60 | $6.06 | $6.18 | 436 318 |
Jul 19, 2018 | $6.59 | $7.50 | $6.35 | $6.56 | 1 122 043 |
Jul 18, 2018 | $7.39 | $7.50 | $6.50 | $6.56 | 1 036 732 |
Jul 17, 2018 | $9.20 | $9.23 | $7.12 | $7.42 | 1 940 394 |
Jul 16, 2018 | $16.86 | $17.25 | $7.65 | $8.08 | 2 810 903 |
Jul 13, 2018 | $23.20 | $24.84 | $22.72 | $23.70 | 102 767 |
Jul 12, 2018 | $24.36 | $24.60 | $23.01 | $23.68 | 84 505 |
Jul 11, 2018 | $23.28 | $25.98 | $22.00 | $24.18 | 234 294 |
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 NMTR stock historical prices to predict future price movements?
Trend Analysis: Examine the NMTR 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 NMTR 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.