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Stock SAIC - Share trades in NASDAQ

  • Daily Support: 92.58
  • Daily Resistance: 96.58
  • 5 Day Moving Average is 91.53
  • 20 Day Moving Average is 90.74

If a stock is trading above it's 5 day and 20 day moving averages, it's considered good for a trade! The support & resistance points are valid for intra day.

Also take a look at technical analysis reports for more details like moving averages, support and resistance.

Date Change Open Close High Low Volume
Tue 03 Mar 2026 2.09% 91.14 94.42 94.73 90.73-11.23%
Mon 02 Mar 2026 0.25% 93.80 92.49 93.93 91.6926.2%
Fri 27 Feb 2026 0.61% 90.56 92.26 92.63 90.1557.52%
Thu 26 Feb 2026 5.66% 88.48 91.70 91.86 86.8145.3%
Wed 25 Feb 2026 -0.9% 87.97 86.79 88.51 85.5018.45%
Tue 24 Feb 2026 1.32% 86.57 87.58 88.07 86.5710.62%
Mon 23 Feb 2026 -3.86% 89.50 86.44 89.94 86.0230.99%
Fri 20 Feb 2026 -1.22% 90.46 89.91 90.98 87.5933.71%
Thu 19 Feb 2026 2.75% 88.63 91.02 92.54 88.4158.31%
Wed 18 Feb 2026 3.99% 85.64 88.58 88.98 85.2217.79%

Stochastics Fast,Slow,Full chartss of Daily stochastics, Weekly stochastics, Monthly stochastics of SAIC NASDAQ

Data to use: Time Period: FAST Stochastics (K) Smooth by: FAST Stochastics (D) Smooth by:

Stochastics Charts

Stochastics charts generate various signals like over-bought, over-sold, support, resistance etc.

Use a 14,3,3 above to view stochastics charts of using the original stochastics formula, also known as FAST chart. FULL stochastics chart with a 14,3,3 setting is the same as SLOW stochastics chart of the FAST stochastics chart.

Use a different setting like 20,5,3 to update the stochastics FULL dynamic chart below.

These are . Click the links below to switch between charts

charts: All in One All Common indicators RSI, Bollinger Bands, ADX, MACD, Moving averages, volumes IntraDay IntraDay Predictions

Money Flow Chart Candle Stick Charts Weekly Charts Monthly Charts Moving Averages Charts MACD

Draw TrendLines ForceIndex chart Stochastics chart PVM chart RSI & MRSI

Renko Charts Point & Figure Charts Line & Candle Charts

 

Learn how to successfully analyse Stochastics

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