NASDAQ:ILMN
Illumina Stock Price (Quote)
$108.66
-0.560 (-0.513%)
At Close: Jun 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $100.09 | $119.00 | Friday, 14th Jun 2024 ILMN stock ended at $108.66. This is 0.513% less than the trading day before Thursday, 13th Jun 2024. During the day the stock fluctuated 2.36% from a day low at $107.61 to a day high of $110.15. |
90 days | $100.09 | $144.19 | |
52 weeks | $89.01 | $212.29 |
Historical Illumina prices
Date | Open | High | Low | Close | Volume |
Mar 16, 2017 | $162.28 | $163.81 | $158.02 | $159.46 | 1 743 215 |
Mar 15, 2017 | $164.82 | $166.44 | $164.01 | $165.95 | 696 567 |
Mar 14, 2017 | $166.49 | $166.89 | $164.30 | $164.83 | 1 054 094 |
Mar 13, 2017 | $167.07 | $167.35 | $165.26 | $166.91 | 562 756 |
Mar 10, 2017 | $165.76 | $167.54 | $164.52 | $167.22 | 651 325 |
Mar 09, 2017 | $164.37 | $164.97 | $163.00 | $164.48 | 961 583 |
Mar 08, 2017 | $165.73 | $165.99 | $164.00 | $164.40 | 559 794 |
Mar 07, 2017 | $165.60 | $166.71 | $164.25 | $165.58 | 693 262 |
Mar 06, 2017 | $167.86 | $167.99 | $166.53 | $166.69 | 679 044 |
Mar 03, 2017 | $167.75 | $168.65 | $166.38 | $168.50 | 863 178 |
Mar 02, 2017 | $168.64 | $171.21 | $166.46 | $167.72 | 804 697 |
Mar 01, 2017 | $168.58 | $169.98 | $167.54 | $168.80 | 1 016 800 |
Feb 28, 2017 | $166.37 | $168.61 | $165.61 | $167.40 | 1 533 507 |
Feb 27, 2017 | $163.72 | $167.48 | $161.27 | $166.82 | 1 550 135 |
Feb 24, 2017 | $160.84 | $160.95 | $158.81 | $160.00 | 751 588 |
Feb 23, 2017 | $163.00 | $163.00 | $160.34 | $161.01 | 562 598 |
Feb 22, 2017 | $161.80 | $163.40 | $161.02 | $162.30 | 638 286 |
Feb 21, 2017 | $163.11 | $163.50 | $160.54 | $162.15 | 708 682 |
Feb 17, 2017 | $161.30 | $163.46 | $161.12 | $163.37 | 892 387 |
Feb 16, 2017 | $163.45 | $163.85 | $159.37 | $161.30 | 1 026 211 |
Feb 15, 2017 | $163.84 | $165.36 | $163.00 | $163.29 | 785 590 |
Feb 14, 2017 | $164.21 | $165.69 | $163.15 | $164.46 | 765 665 |
Feb 13, 2017 | $163.10 | $164.65 | $162.06 | $163.84 | 782 989 |
Feb 10, 2017 | $163.66 | $163.66 | $161.25 | $163.04 | 903 771 |
Feb 09, 2017 | $162.86 | $163.94 | $162.41 | $163.14 | 465 799 |
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.