Financhill
Back

Intelligent Living Application Group 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 ILAG is experiencing selling pressure, which indicates risk of future bearish movement.

Intelligent Living Application Group Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 1.03 Sell
20-day SMA: 1.03 Sell
50-day SMA: 1.04 Sell
200-day SMA: 0.72 Buy
8-day EMA: 1.03 Sell
20-day EMA: 1.03 Sell
50-day EMA: 1.01 Buy
200-day EMA: 0.85 Buy

Intelligent Living Application Group Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0 Sell
Relative Strength Index (14 RSI): 48.48 Sell
Chaikin Money Flow: -3688 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (1 - 1.06) Sell
Bollinger Bands (100): (0.73 - 1.13) 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

Sell
47
Intelligent Living Application Group (ILAG) is a Sell

Is Intelligent Living Application Group a Buy or a Sell?

Intelligent Living Application Group Stock Info

Market Cap:
18.42M
Price in USD:
1.02
Share Volume:
6.16K

Intelligent Living Application Group 52-Week Range

52-Week High:
1.35
52-Week Low:
0.33
Sell
47
Intelligent Living Application Group (ILAG) is a Sell

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.