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Airship AI Holdings Stock Price Chart

  • Based on the share price being above its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bullish and AISP is experiencing slight buying pressure.

Airship AI Holdings Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 4.99 Sell
20-day SMA: 4.81 Buy
50-day SMA: 4.22 Buy
200-day SMA: 3.73 Buy
8-day EMA: 4.93 Buy
20-day EMA: 4.77 Buy
50-day EMA: 4.47 Buy
200-day EMA: 4.3 Buy

Airship AI Holdings Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.22 Buy
Relative Strength Index (14 RSI): 54.89 Buy
Chaikin Money Flow: 264728 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (4.07 - 5.17) Buy
Bollinger Bands (100): (3.69 - 5.15) Buy

Airship AI Holdings Technical Analysis

Technical Analysis: Buy or Sell?
8-day SMA:
20-day SMA:
50-day SMA:
200-day SMA:
8-day EMA:
20-day EMA:
50-day EMA:
200-day EMA:
MACD (12, 26):
Relative Strength Index (14 RSI):
Bollinger Bands (25):
Bollinger Bands (100):

Technical Analysis for Airship AI Holdings Stock

Is Airship AI Holdings Stock a Buy?

AISP Technical Analysis vs Fundamental Analysis

Buy
79
Airship AI Holdings (AISP) is a Buy

Is Airship AI Holdings a Buy or a Sell?

Airship AI Holdings Stock Info

Market Cap:
157.3M
Price in USD:
4.94
Share Volume:
582.4K

Airship AI Holdings 52-Week Range

52-Week High:
7.66
52-Week Low:
1.90
Buy
79
Airship AI Holdings (AISP) is a Buy

Airship AI Holdings Share Price Forecast

Is Airship AI Holdings Stock a Buy?

Fundamental Analysis of Airship AI Holdings

Is Airship AI Holdings a good investment?

  • Analysts estimate an earnings increase this quarter of $0.05 per share, an increase next quarter of $0.02 per share, an increase this year of $0.42 per share, and an increase next year of $0.17 per share.

Technical Analysis of Airship AI Holdings

Should I short Airship AI Holdings stock?

* Airship AI Holdings stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.