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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 buying pressure.

Applied DNA Sciences Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 5.23 Sell
20-day SMA: 7.3 Sell
50-day SMA: 12 Sell
200-day SMA: 234.62 Sell
8-day EMA: 5.35 Sell
20-day EMA: 7.38 Sell
50-day EMA: 20.42 Sell
200-day EMA: 876.18 Sell

Applied DNA Sciences Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -2.97 Sell
Relative Strength Index (14 RSI): 20.67 Sell
Chaikin Money Flow: 2224 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (5.33 - 11.33) Sell
Bollinger Bands (100): (2.1 - 106.78) 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
7
Applied DNA Sciences (APDN) is a Sell

Is Applied DNA Sciences a Buy or a Sell?

Applied DNA Sciences Stock Info

Market Cap:
2.4M
Price in USD:
4.65
Share Volume:
61.7K

Applied DNA Sciences 52-Week Range

52-Week High:
2,655.00
52-Week Low:
4.37
Sell
7
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 decrease this quarter of $210.00 per share, a decrease next quarter of $0.00 per share, a decrease this year of $346.60 per share, and an increase next year of $277.50 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.