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Intelligent Living Application Group 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 ILAG is experiencing buying pressure, which is a positive indicator for future bullish movement.

Intelligent Living Application Group Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 0.52 Sell
20-day SMA: 0.53 Sell
50-day SMA: 0.45 Buy
200-day SMA: 0.72 Sell
8-day EMA: 0.11 Buy
20-day EMA: 0.05 Buy
50-day EMA: 0.02 Buy
200-day EMA: 0.01 Buy

Intelligent Living Application Group Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.04 Buy
Relative Strength Index (14 RSI): 52.31 Buy
Chaikin Money Flow: 32297 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (0.44 - 0.56) Buy
Bollinger Bands (100): (0.34 - 0.6) Buy

Intelligent Living Application Group 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 Intelligent Living Application Group Stock

Is Intelligent Living Application Group Stock a Buy?

ILAG Technical Analysis vs Fundamental Analysis

Buy
72
Intelligent Living Application Group (ILAG) is a Buy

Is Intelligent Living Application Group a Buy or a Sell?

Intelligent Living Application Group Stock Info

Market Cap:
10.7M
Price in USD:
0.51
Share Volume:
37.6K

Intelligent Living Application Group 52-Week Range

52-Week High:
1.35
52-Week Low:
0.34
Buy
72
Intelligent Living Application Group (ILAG) is a Buy

Intelligent Living Application Group Share Price Forecast

Is Intelligent Living Application Group Stock a Buy?

Technical Analysis of Intelligent Living Application Group

Should I short Intelligent Living Application Group stock?

* Intelligent Living Application Group stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.