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 |
Jun 21, 2023 | $4.73 | $4.79 | $4.32 | $4.37 | 1 346 317 |
Jun 20, 2023 | $5.00 | $5.00 | $4.71 | $4.74 | 1 161 449 |
Jun 16, 2023 | $5.26 | $5.35 | $5.01 | $5.02 | 1 244 393 |
Jun 15, 2023 | $5.25 | $5.33 | $5.07 | $5.19 | 1 193 860 |
Jun 14, 2023 | $5.78 | $5.78 | $5.32 | $5.33 | 699 278 |
Jun 13, 2023 | $5.62 | $5.82 | $5.43 | $5.75 | 799 517 |
Jun 12, 2023 | $5.49 | $5.69 | $5.37 | $5.58 | 699 961 |
Jun 09, 2023 | $5.76 | $5.98 | $5.47 | $5.48 | 1 459 558 |
Jun 08, 2023 | $6.12 | $6.12 | $5.54 | $5.65 | 1 277 649 |
Jun 07, 2023 | $5.94 | $6.29 | $5.89 | $6.15 | 1 259 380 |
Jun 06, 2023 | $5.69 | $6.17 | $5.53 | $5.92 | 1 391 730 |
Jun 05, 2023 | $5.70 | $5.87 | $5.56 | $5.70 | 1 422 114 |
Jun 02, 2023 | $5.85 | $5.98 | $5.70 | $5.79 | 1 475 911 |
Jun 01, 2023 | $5.85 | $5.92 | $5.58 | $5.73 | 1 041 335 |
May 31, 2023 | $6.02 | $6.20 | $5.69 | $5.89 | 1 318 391 |
May 30, 2023 | $6.12 | $6.65 | $5.97 | $6.08 | 1 743 497 |
May 26, 2023 | $5.75 | $6.14 | $5.66 | $5.78 | 2 304 116 |
May 25, 2023 | $5.80 | $5.88 | $5.36 | $5.45 | 754 379 |
May 24, 2023 | $5.60 | $5.80 | $5.31 | $5.69 | 1 987 967 |
May 23, 2023 | $6.36 | $6.67 | $5.57 | $5.65 | 5 582 296 |
May 22, 2023 | $5.61 | $6.55 | $5.50 | $6.26 | 2 820 916 |
May 19, 2023 | $6.08 | $6.08 | $5.42 | $5.64 | 2 929 025 |
May 18, 2023 | $7.83 | $7.84 | $5.92 | $6.04 | 7 779 825 |
May 17, 2023 | $8.23 | $8.54 | $8.09 | $8.51 | 348 777 |
May 16, 2023 | $8.06 | $8.33 | $7.94 | $8.14 | 610 821 |
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.