NASDAQ:CERN
Delisted
Cerner Corporation Stock Price (Quote)
$94.92
+0 (+0%)
At Close: Jul 20, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $94.92 | $94.92 | Wednesday, 20th Jul 2022 CERN stock ended at $94.92. During the day the stock fluctuated 0% from a day low at $94.92 to a day high of $94.92. |
90 days | $93.26 | $95.40 | |
52 weeks | $69.08 | $95.40 |
Date | Open | High | Low | Close | Volume |
Mar 10, 2017 | $55.10 | $55.48 | $54.67 | $55.24 | 2 757 735 |
Mar 09, 2017 | $54.59 | $54.83 | $54.08 | $54.77 | 2 462 412 |
Mar 08, 2017 | $54.98 | $55.08 | $54.01 | $54.37 | 3 012 854 |
Mar 07, 2017 | $54.97 | $55.19 | $54.56 | $54.97 | 2 663 067 |
Mar 06, 2017 | $55.60 | $55.67 | $55.07 | $55.08 | 2 580 390 |
Mar 03, 2017 | $55.55 | $55.78 | $55.23 | $55.74 | 1 927 400 |
Mar 02, 2017 | $55.33 | $55.60 | $55.00 | $55.57 | 2 128 609 |
Mar 01, 2017 | $55.48 | $55.59 | $54.80 | $55.45 | 1 806 341 |
Feb 28, 2017 | $55.35 | $55.53 | $54.90 | $55.04 | 2 460 214 |
Feb 27, 2017 | $55.56 | $55.70 | $54.69 | $55.35 | 1 394 626 |
Feb 24, 2017 | $54.55 | $55.63 | $54.44 | $55.61 | 1 745 914 |
Feb 23, 2017 | $55.37 | $55.57 | $55.09 | $55.39 | 1 429 308 |
Feb 22, 2017 | $55.45 | $55.95 | $55.20 | $55.37 | 1 787 288 |
Feb 21, 2017 | $56.07 | $56.59 | $54.99 | $55.27 | 2 965 244 |
Feb 17, 2017 | $55.50 | $56.24 | $55.19 | $56.15 | 2 610 037 |
Feb 16, 2017 | $55.24 | $55.64 | $54.78 | $55.61 | 2 420 343 |
Feb 15, 2017 | $54.42 | $55.28 | $54.35 | $55.07 | 3 565 588 |
Feb 14, 2017 | $52.63 | $54.58 | $52.62 | $54.55 | 4 694 833 |
Feb 13, 2017 | $51.53 | $52.55 | $51.26 | $52.52 | 3 584 811 |
Feb 10, 2017 | $51.50 | $52.72 | $51.29 | $51.50 | 8 305 009 |
Feb 09, 2017 | $53.16 | $54.11 | $53.00 | $53.88 | 2 700 784 |
Feb 08, 2017 | $53.49 | $53.66 | $52.71 | $52.93 | 3 510 012 |
Feb 07, 2017 | $54.07 | $54.07 | $53.30 | $53.60 | 3 208 278 |
Feb 06, 2017 | $53.49 | $54.09 | $53.24 | $54.05 | 2 921 250 |
Feb 03, 2017 | $53.43 | $53.73 | $52.17 | $53.66 | 4 351 112 |
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 CERN stock historical prices to predict future price movements?
Trend Analysis: Examine the CERN 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 CERN 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.