NASDAQ:ILMN
Illumina Stock Price (Quote)
$107.61
-0.92 (-0.85%)
At Close: May 21, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $106.82 | $127.75 | Tuesday, 21st May 2024 ILMN stock ended at $107.61. This is 0.85% less than the trading day before Monday, 20th May 2024. During the day the stock fluctuated 1.39% from a day low at $106.82 to a day high of $108.30. |
90 days | $106.82 | $146.08 | |
52 weeks | $89.01 | $213.91 |
Date | Open | High | Low | Close | Volume |
Jun 10, 2016 | $142.14 | $142.79 | $140.10 | $141.62 | 930 787 |
Jun 09, 2016 | $144.39 | $146.11 | $142.73 | $143.42 | 735 586 |
Jun 08, 2016 | $144.95 | $145.85 | $143.52 | $145.26 | 627 007 |
Jun 07, 2016 | $147.13 | $147.51 | $144.02 | $144.95 | 845 738 |
Jun 06, 2016 | $145.67 | $148.84 | $144.05 | $147.60 | 750 318 |
Jun 03, 2016 | $146.21 | $147.00 | $143.32 | $145.54 | 685 094 |
Jun 02, 2016 | $146.05 | $147.30 | $144.86 | $147.10 | 875 384 |
Jun 01, 2016 | $144.42 | $146.46 | $143.07 | $145.78 | 786 948 |
May 31, 2016 | $144.05 | $145.17 | $143.52 | $144.83 | 950 465 |
May 27, 2016 | $143.47 | $144.50 | $141.70 | $143.85 | 659 717 |
May 26, 2016 | $143.18 | $144.93 | $142.05 | $143.12 | 540 456 |
May 25, 2016 | $143.99 | $145.80 | $143.00 | $143.55 | 879 264 |
May 24, 2016 | $140.64 | $143.65 | $139.05 | $143.48 | 782 806 |
May 23, 2016 | $140.62 | $141.93 | $139.63 | $139.83 | 450 551 |
May 20, 2016 | $138.77 | $141.57 | $137.47 | $140.51 | 764 132 |
May 19, 2016 | $139.19 | $139.97 | $136.34 | $138.03 | 557 539 |
May 18, 2016 | $138.46 | $141.84 | $137.75 | $140.23 | 791 862 |
May 17, 2016 | $140.53 | $142.24 | $138.43 | $138.77 | 1 179 157 |
May 16, 2016 | $136.49 | $140.74 | $135.99 | $140.40 | 757 528 |
May 13, 2016 | $136.63 | $138.32 | $135.55 | $136.92 | 914 244 |
May 12, 2016 | $139.87 | $140.15 | $135.97 | $136.94 | 1 193 595 |
May 11, 2016 | $142.85 | $144.08 | $138.64 | $138.86 | 1 108 761 |
May 10, 2016 | $142.41 | $142.99 | $139.20 | $142.84 | 741 584 |
May 09, 2016 | $140.29 | $142.98 | $140.29 | $141.76 | 1 127 745 |
May 06, 2016 | $138.58 | $142.78 | $138.03 | $140.71 | 2 213 594 |
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 ILMN stock historical prices to predict future price movements?
Trend Analysis: Examine the ILMN 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 ILMN 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.