NASDAQ:NXTM
Delisted
NxStage Medical Stock Price (Quote)
$30.00
+0 (+0%)
At Close: Feb 28, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $28.71 | $30.00 | Thursday, 28th Feb 2019 NXTM stock ended at $30.00. During the day the stock fluctuated 0% from a day low at $30.00 to a day high of $30.00. |
90 days | $26.00 | $30.00 | |
52 weeks | $23.17 | $30.00 |
Date | Open | High | Low | Close | Volume |
Nov 07, 2018 | $28.76 | $29.05 | $28.76 | $29.01 | 668 170 |
Nov 06, 2018 | $28.51 | $29.08 | $28.50 | $28.80 | 2 442 477 |
Nov 05, 2018 | $28.64 | $28.80 | $28.38 | $28.41 | 406 128 |
Nov 02, 2018 | $28.66 | $28.72 | $28.36 | $28.55 | 426 535 |
Nov 01, 2018 | $28.37 | $28.59 | $28.22 | $28.57 | 951 677 |
Oct 31, 2018 | $28.23 | $28.49 | $28.08 | $28.38 | 496 516 |
Oct 30, 2018 | $28.18 | $28.18 | $27.73 | $28.16 | 827 679 |
Oct 29, 2018 | $28.03 | $28.11 | $27.43 | $27.68 | 1 045 595 |
Oct 26, 2018 | $27.76 | $28.09 | $27.51 | $27.89 | 474 667 |
Oct 25, 2018 | $27.79 | $28.02 | $27.60 | $27.89 | 342 311 |
Oct 24, 2018 | $27.87 | $28.09 | $27.69 | $27.71 | 415 918 |
Oct 23, 2018 | $27.81 | $28.10 | $27.77 | $27.84 | 927 945 |
Oct 22, 2018 | $27.69 | $28.04 | $27.48 | $28.00 | 429 475 |
Oct 19, 2018 | $27.50 | $28.01 | $27.50 | $27.68 | 219 729 |
Oct 18, 2018 | $27.69 | $28.01 | $27.55 | $27.67 | 209 230 |
Oct 17, 2018 | $28.09 | $28.09 | $27.32 | $27.64 | 1 385 189 |
Oct 16, 2018 | $28.25 | $28.28 | $27.98 | $28.19 | 441 237 |
Oct 15, 2018 | $27.98 | $28.28 | $27.79 | $28.13 | 171 595 |
Oct 12, 2018 | $27.71 | $28.19 | $27.55 | $27.99 | 417 826 |
Oct 11, 2018 | $27.53 | $28.28 | $27.46 | $27.57 | 398 253 |
Oct 10, 2018 | $27.56 | $27.99 | $27.52 | $27.52 | 355 288 |
Oct 09, 2018 | $27.41 | $27.76 | $27.26 | $27.55 | 194 580 |
Oct 08, 2018 | $27.56 | $27.79 | $27.20 | $27.40 | 517 581 |
Oct 05, 2018 | $27.92 | $28.10 | $27.48 | $27.55 | 905 932 |
Oct 04, 2018 | $27.93 | $28.30 | $27.70 | $27.90 | 1 858 780 |
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 NXTM stock historical prices to predict future price movements?
Trend Analysis: Examine the NXTM 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 NXTM 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.