NASDAQ:INAP
Delisted
Internap Corporation Stock Price (Quote)
$0.0491
+0 (+0%)
At Close: Sep 04, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0491 | $0.0491 | Friday, 4th Sep 2020 INAP stock ended at $0.0491. During the day the stock fluctuated 0% from a day low at $0.0491 to a day high of $0.0491. |
90 days | $0.0491 | $0.0491 | |
52 weeks | $0.0123 | $2.74 |
Date | Open | High | Low | Close | Volume |
Dec 26, 2019 | $1.14 | $1.15 | $1.07 | $1.08 | 355 609 |
Dec 24, 2019 | $1.11 | $1.15 | $1.10 | $1.13 | 263 723 |
Dec 23, 2019 | $1.02 | $1.10 | $1.01 | $1.10 | 367 455 |
Dec 20, 2019 | $1.07 | $1.07 | $1.00 | $1.02 | 500 207 |
Dec 19, 2019 | $1.01 | $1.11 | $0.98 | $1.06 | 557 249 |
Dec 18, 2019 | $0.93 | $0.99 | $0.91 | $0.99 | 425 880 |
Dec 17, 2019 | $0.90 | $0.96 | $0.88 | $0.93 | 468 441 |
Dec 16, 2019 | $0.97 | $0.99 | $0.88 | $0.89 | 424 917 |
Dec 13, 2019 | $1.03 | $1.05 | $0.95 | $0.97 | 424 307 |
Dec 12, 2019 | $1.08 | $1.10 | $1.03 | $1.04 | 535 929 |
Dec 11, 2019 | $1.09 | $1.10 | $1.06 | $1.08 | 480 354 |
Dec 10, 2019 | $1.10 | $1.13 | $1.07 | $1.09 | 449 687 |
Dec 09, 2019 | $1.15 | $1.15 | $1.09 | $1.10 | 311 543 |
Dec 06, 2019 | $1.10 | $1.13 | $1.05 | $1.10 | 503 327 |
Dec 05, 2019 | $1.16 | $1.16 | $1.10 | $1.10 | 103 495 |
Dec 04, 2019 | $1.15 | $1.21 | $1.10 | $1.14 | 303 568 |
Dec 03, 2019 | $1.10 | $1.15 | $1.07 | $1.13 | 120 706 |
Dec 02, 2019 | $1.23 | $1.23 | $1.10 | $1.10 | 182 875 |
Nov 29, 2019 | $1.23 | $1.30 | $1.19 | $1.20 | 105 445 |
Nov 27, 2019 | $1.20 | $1.27 | $1.15 | $1.22 | 276 749 |
Nov 26, 2019 | $1.32 | $1.42 | $1.05 | $1.22 | 1 269 258 |
Nov 25, 2019 | $1.35 | $1.44 | $1.26 | $1.32 | 526 954 |
Nov 22, 2019 | $1.39 | $1.50 | $1.28 | $1.30 | 352 837 |
Nov 21, 2019 | $1.50 | $1.53 | $1.37 | $1.39 | 229 269 |
Nov 20, 2019 | $1.60 | $1.63 | $1.49 | $1.50 | 179 952 |
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 INAP stock historical prices to predict future price movements?
Trend Analysis: Examine the INAP 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 INAP 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.