NASDAQ:INSY
Delisted
Insys Therapeutics Stock Price (Quote)
$0.255
+0 (+0%)
At Close: Sep 17, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.255 | $0.255 | Tuesday, 17th Sep 2019 INSY stock ended at $0.255. During the day the stock fluctuated 0% from a day low at $0.255 to a day high of $0.255. |
90 days | $0.191 | $0.344 | |
52 weeks | $0.142 | $10.44 |
Date | Open | High | Low | Close | Volume |
Jul 08, 2019 | $0.255 | $0.255 | $0.255 | $0.255 | 0 |
Jul 05, 2019 | $0.255 | $0.255 | $0.255 | $0.255 | 0 |
Jul 03, 2019 | $0.280 | $0.280 | $0.254 | $0.255 | 312 466 |
Jul 02, 2019 | $0.278 | $0.294 | $0.265 | $0.280 | 361 805 |
Jul 01, 2019 | $0.295 | $0.310 | $0.270 | $0.278 | 390 071 |
Jun 28, 2019 | $0.310 | $0.325 | $0.300 | $0.300 | 548 498 |
Jun 27, 2019 | $0.320 | $0.344 | $0.310 | $0.310 | 420 662 |
Jun 26, 2019 | $0.300 | $0.330 | $0.285 | $0.325 | 753 498 |
Jun 25, 2019 | $0.307 | $0.320 | $0.285 | $0.305 | 540 403 |
Jun 24, 2019 | $0.280 | $0.315 | $0.280 | $0.303 | 1 085 709 |
Jun 21, 2019 | $0.280 | $0.320 | $0.251 | $0.290 | 1 607 015 |
Jun 20, 2019 | $0.221 | $0.280 | $0.202 | $0.260 | 1 321 788 |
Jun 19, 2019 | $0.201 | $0.320 | $0.191 | $0.227 | 5 228 446 |
Jun 18, 2019 | $0.270 | $0.380 | $0.252 | $0.291 | 11 374 030 |
Jun 17, 2019 | $0.340 | $0.340 | $0.290 | $0.295 | 4 274 718 |
Jun 14, 2019 | $0.400 | $0.430 | $0.315 | $0.340 | 8 410 627 |
Jun 13, 2019 | $0.427 | $0.573 | $0.384 | $0.400 | 27 383 907 |
Jun 12, 2019 | $0.320 | $0.740 | $0.318 | $0.340 | 82 303 304 |
Jun 11, 2019 | $0.580 | $0.630 | $0.142 | $0.142 | 18 629 561 |
Jun 10, 2019 | $0.680 | $0.94 | $0.551 | $0.636 | 11 381 628 |
Jun 07, 2019 | $1.18 | $1.38 | $1.01 | $1.31 | 3 722 243 |
Jun 06, 2019 | $0.80 | $1.90 | $0.767 | $1.15 | 15 232 589 |
Jun 05, 2019 | $0.85 | $0.92 | $0.80 | $0.86 | 738 382 |
Jun 04, 2019 | $0.80 | $0.87 | $0.80 | $0.83 | 605 441 |
Jun 03, 2019 | $0.756 | $0.799 | $0.748 | $0.772 | 536 419 |
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 INSY stock historical prices to predict future price movements?
Trend Analysis: Examine the INSY 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 INSY 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.