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Stock USAF - Share trades in NASDAQ

  • Daily Support: 27.39
  • Daily Resistance: 27.49
  • 5 Day Moving Average is 27.45
  • 20 Day Moving Average is 27.35

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
Fri 19 Dec 2025 0.04% 27.48 27.45 27.52 27.42-90.68%
Thu 18 Dec 2025 -0.07% 27.50 27.44 27.50 27.44-98.45%
Wed 17 Dec 2025 0.15% 27.48 27.46 27.54 27.46-82.92%
Tue 16 Dec 2025 -0.22% 27.45 27.42 27.45 27.37114.28%
Mon 15 Dec 2025 -0.07% 27.48 27.48 27.48 27.48-95.34%
Fri 12 Dec 2025 0.04% 27.55 27.50 27.55 27.50-93.79%
Thu 11 Dec 2025 0.4% 27.38 27.49 27.53 27.38-72.05%
Wed 10 Dec 2025 0.07% 27.36 27.38 27.38 27.36-96.89%
Tue 09 Dec 2025 0% 27.36 27.36 27.43 27.33-73.6%
Mon 08 Dec 2025 0.07% 27.36 27.36 27.38 27.33-23.92%

Stochastics Fast,Slow,Full chartss of Daily stochastics, Weekly stochastics, Monthly stochastics of USAF 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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