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Applied DNA Sciences Stock Price Chart

  • Based on the share price being below its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bearish and APDN is experiencing slight selling pressure.

Applied DNA Sciences Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 5.85 Sell
20-day SMA: 7.07 Sell
50-day SMA: 9.25 Sell
200-day SMA: 17.56 Sell
8-day EMA: 5.66 Sell
20-day EMA: 6.85 Sell
50-day EMA: 8.76 Sell
200-day EMA: 15.9 Sell

Applied DNA Sciences Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -1.18 Sell
Relative Strength Index (14 RSI): 19.81 Sell
Chaikin Money Flow: -28620 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (6.08 - 8.84) Sell
Bollinger Bands (100): (8.06 - 14.34) Sell

Applied DNA Sciences 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 Applied DNA Sciences Stock

Is Applied DNA Sciences Stock a Buy?

APDN Technical Analysis vs Fundamental Analysis

Sell
17
Applied DNA Sciences (APDN) is a Sell

Is Applied DNA Sciences a Buy or a Sell?

Applied DNA Sciences Stock Info

Market Cap:
3.77M
Price in USD:
4.37
Share Volume:
83.82K

Applied DNA Sciences 52-Week Range

52-Week High:
37.20
52-Week Low:
4.07
Sell
17
Applied DNA Sciences (APDN) is a Sell

Applied DNA Sciences Share Price Forecast

Is Applied DNA Sciences Stock a Buy?

Fundamental Analysis of Applied DNA Sciences

Is Applied DNA Sciences a good investment?

  • Analysts estimate an earnings increase this quarter of $2.20 per share, a decrease next quarter of $0.00 per share, an increase this year of $2.00 per share, and an increase next year of $1.80 per share.

Technical Analysis of Applied DNA Sciences

Should I short Applied DNA Sciences stock?

* Applied DNA Sciences stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.