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 |
Apr 14, 2023 | $107.95 | $108.87 | $107.00 | $107.93 | 281 378 |
Apr 13, 2023 | $108.40 | $108.75 | $107.07 | $108.43 | 319 234 |
Apr 12, 2023 | $107.34 | $109.20 | $107.17 | $108.69 | 396 552 |
Apr 11, 2023 | $108.26 | $108.63 | $107.32 | $107.36 | 338 699 |
Apr 10, 2023 | $107.72 | $109.56 | $107.72 | $108.73 | 376 744 |
Apr 06, 2023 | $107.88 | $108.56 | $107.23 | $107.86 | 288 218 |
Apr 05, 2023 | $107.24 | $108.88 | $107.20 | $107.62 | 498 368 |
Apr 04, 2023 | $109.31 | $109.39 | $105.92 | $107.44 | 573 422 |
Apr 03, 2023 | $107.92 | $111.55 | $106.00 | $110.50 | 880 266 |
Mar 31, 2023 | $107.36 | $108.41 | $107.05 | $107.46 | 455 994 |
Mar 30, 2023 | $106.90 | $107.49 | $106.41 | $106.68 | 302 648 |
Mar 29, 2023 | $105.97 | $106.84 | $105.38 | $106.65 | 387 458 |
Mar 28, 2023 | $104.96 | $105.88 | $104.99 | $105.50 | 308 659 |
Mar 27, 2023 | $104.16 | $104.81 | $103.34 | $104.77 | 338 287 |
Mar 24, 2023 | $102.44 | $103.54 | $101.71 | $103.35 | 280 095 |
Mar 23, 2023 | $103.04 | $104.20 | $102.29 | $102.62 | 271 819 |
Mar 22, 2023 | $104.83 | $104.94 | $102.92 | $103.04 | 207 700 |
Mar 21, 2023 | $104.50 | $105.20 | $104.20 | $104.81 | 191 820 |
Mar 20, 2023 | $103.02 | $104.89 | $103.02 | $103.46 | 245 932 |
Mar 17, 2023 | $103.87 | $103.87 | $101.56 | $102.24 | 545 701 |
Mar 16, 2023 | $103.44 | $105.31 | $103.42 | $104.13 | 262 707 |
Mar 15, 2023 | $103.73 | $103.95 | $101.80 | $103.90 | 284 450 |
Mar 14, 2023 | $104.29 | $105.71 | $103.15 | $104.82 | 334 309 |
Mar 13, 2023 | $102.97 | $104.01 | $102.49 | $103.24 | 287 618 |
Mar 10, 2023 | $104.49 | $106.24 | $103.62 | $103.75 | 237 853 |
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.