NYSE:SAIC
SCIENCE APPLICATIONS INTERNATIONAL CORP Stock Price (Quote)
$136.75
+0.0700 (+0.0512%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $122.90 | $137.15 | Friday, 17th May 2024 SAIC stock ended at $136.75. This is 0.0512% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 1.56% from a day low at $134.94 to a day high of $137.05. |
90 days | $117.69 | $145.17 | |
52 weeks | $95.43 | $145.17 |
Date | Open | High | Low | Close | Volume |
Mar 09, 2023 | $106.56 | $106.88 | $104.83 | $104.89 | 210 946 |
Mar 08, 2023 | $108.25 | $108.85 | $104.71 | $106.03 | 285 838 |
Mar 07, 2023 | $108.34 | $109.10 | $108.29 | $108.36 | 192 806 |
Mar 06, 2023 | $108.75 | $109.25 | $107.74 | $108.00 | 349 201 |
Mar 03, 2023 | $108.69 | $109.27 | $107.63 | $109.19 | 229 652 |
Mar 02, 2023 | $106.97 | $108.46 | $106.97 | $108.42 | 214 890 |
Mar 01, 2023 | $106.36 | $107.69 | $105.71 | $107.02 | 212 494 |
Feb 28, 2023 | $106.75 | $107.38 | $106.28 | $106.64 | 280 399 |
Feb 27, 2023 | $107.73 | $108.32 | $106.54 | $106.77 | 170 653 |
Feb 24, 2023 | $106.90 | $107.56 | $106.31 | $107.36 | 154 605 |
Feb 23, 2023 | $107.64 | $108.77 | $107.15 | $107.15 | 210 908 |
Feb 22, 2023 | $107.80 | $108.19 | $106.93 | $107.28 | 291 102 |
Feb 21, 2023 | $108.41 | $108.52 | $107.17 | $107.85 | 232 146 |
Feb 17, 2023 | $108.41 | $108.96 | $108.10 | $108.58 | 269 970 |
Feb 16, 2023 | $107.03 | $109.66 | $107.03 | $108.18 | 219 160 |
Feb 15, 2023 | $105.86 | $107.57 | $105.20 | $107.50 | 281 039 |
Feb 14, 2023 | $106.27 | $106.66 | $105.22 | $106.02 | 378 541 |
Feb 13, 2023 | $107.29 | $107.89 | $106.04 | $106.34 | 391 172 |
Feb 10, 2023 | $105.25 | $107.01 | $104.82 | $107.01 | 219 853 |
Feb 09, 2023 | $105.88 | $106.22 | $104.12 | $104.78 | 187 452 |
Feb 08, 2023 | $105.20 | $106.31 | $105.10 | $105.85 | 257 076 |
Feb 07, 2023 | $104.49 | $105.53 | $103.05 | $105.47 | 206 160 |
Feb 06, 2023 | $104.55 | $106.00 | $104.47 | $104.97 | 315 102 |
Feb 03, 2023 | $104.72 | $105.04 | $103.56 | $104.08 | 188 233 |
Feb 02, 2023 | $103.26 | $104.64 | $102.85 | $104.44 | 316 506 |
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 SAIC stock historical prices to predict future price movements?
Trend Analysis: Examine the SAIC 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 SAIC 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.