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Palatin Technologies 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 PTN is experiencing slight selling pressure.

Palatin Technologies Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 0.97 Buy
20-day SMA: 1.11 Sell
50-day SMA: 1.05 Buy
200-day SMA: 1.69 Sell
8-day EMA: 1.01 Buy
20-day EMA: 1.05 Buy
50-day EMA: 1.13 Sell
200-day EMA: 1.64 Sell

Palatin Technologies Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.03 Sell
Relative Strength Index (14 RSI): 52.36 Buy
Chaikin Money Flow: -33629 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (1 - 1.22) Sell
Bollinger Bands (100): (1.01 - 1.61) Sell

Palatin Technologies 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 Palatin Technologies Stock

Is Palatin Technologies Stock a Buy?

PTN Technical Analysis vs Fundamental Analysis

Sell
48
Palatin Technologies (PTN) is a Sell

Is Palatin Technologies a Buy or a Sell?

Palatin Technologies Stock Info

Market Cap:
21.5M
Price in USD:
1.10
Share Volume:
507.14K

Palatin Technologies 52-Week Range

52-Week High:
5.65
52-Week Low:
0.68
Sell
48
Palatin Technologies (PTN) is a Sell

Palatin Technologies Share Price Forecast

Is Palatin Technologies Stock a Buy?

Fundamental Analysis of Palatin Technologies

Is Palatin Technologies a good investment?

  • Analysts estimate an earnings decrease this quarter of $0.04 per share, a decrease next quarter of $0.00 per share, a decrease this year of $0.39 per share, and an increase next year of $0.85 per share.

Technical Analysis of Palatin Technologies

Should I short Palatin Technologies stock?

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