NASDAQ:NSTG
NanoString Technologies Stock Price (Quote)
$0.105
+0 (+0%)
At Close: May 13, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.105 | $0.105 | Monday, 13th May 2024 NSTG stock ended at $0.105. During the day the stock fluctuated 0% from a day low at $0.105 to a day high of $0.105. |
90 days | $0.103 | $0.140 | |
52 weeks | $0.0505 | $8.82 |
Date | Open | High | Low | Close | Volume |
Nov 10, 2023 | $1.23 | $1.23 | $1.08 | $1.08 | 1 034 540 |
Nov 09, 2023 | $1.31 | $1.34 | $1.16 | $1.20 | 942 362 |
Nov 08, 2023 | $1.43 | $1.43 | $1.27 | $1.29 | 882 335 |
Nov 07, 2023 | $1.42 | $1.49 | $1.25 | $1.41 | 1 278 831 |
Nov 06, 2023 | $1.61 | $1.61 | $1.36 | $1.38 | 1 323 152 |
Nov 03, 2023 | $1.47 | $1.71 | $1.44 | $1.60 | 1 116 413 |
Nov 02, 2023 | $1.40 | $1.49 | $1.35 | $1.41 | 1 100 138 |
Nov 01, 2023 | $1.39 | $1.39 | $1.27 | $1.35 | 660 362 |
Oct 31, 2023 | $1.29 | $1.41 | $1.29 | $1.38 | 705 669 |
Oct 30, 2023 | $1.27 | $1.32 | $1.20 | $1.30 | 549 107 |
Oct 27, 2023 | $1.30 | $1.31 | $1.18 | $1.24 | 1 101 625 |
Oct 26, 2023 | $1.35 | $1.38 | $1.25 | $1.29 | 1 133 544 |
Oct 25, 2023 | $1.47 | $1.47 | $1.35 | $1.38 | 518 839 |
Oct 24, 2023 | $1.47 | $1.57 | $1.40 | $1.49 | 791 337 |
Oct 23, 2023 | $1.57 | $1.57 | $1.41 | $1.42 | 598 693 |
Oct 20, 2023 | $1.70 | $1.70 | $1.57 | $1.58 | 797 532 |
Oct 19, 2023 | $1.76 | $1.82 | $1.67 | $1.67 | 1 799 646 |
Oct 18, 2023 | $1.75 | $1.80 | $1.67 | $1.78 | 612 462 |
Oct 17, 2023 | $1.74 | $1.87 | $1.70 | $1.79 | 1 206 455 |
Oct 16, 2023 | $1.79 | $1.83 | $1.71 | $1.79 | 1 650 876 |
Oct 13, 2023 | $1.53 | $1.76 | $1.46 | $1.71 | 2 650 268 |
Oct 12, 2023 | $1.58 | $1.60 | $1.47 | $1.51 | 1 081 564 |
Oct 11, 2023 | $1.50 | $1.61 | $1.44 | $1.55 | 1 493 813 |
Oct 10, 2023 | $1.25 | $1.62 | $1.24 | $1.47 | 4 444 439 |
Oct 09, 2023 | $1.30 | $1.32 | $1.19 | $1.20 | 915 803 |
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 NSTG stock historical prices to predict future price movements?
Trend Analysis: Examine the NSTG 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 NSTG 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.