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Global X Lithium & Battery Tech ETF 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 LIT is experiencing selling pressure, which indicates risk of future bearish movement.

Global X Lithium & Battery Tech ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 37.42 Sell
20-day SMA: 37.35 Sell
50-day SMA: 36.73 Buy
200-day SMA: 40.47 Sell
8-day EMA: 37.34 Sell
20-day EMA: 37.33 Sell
50-day EMA: 37.64 Sell
200-day EMA: 40.15 Sell

Global X Lithium & Battery Tech ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.02 Sell
Relative Strength Index (14 RSI): 45.68 Sell
Chaikin Money Flow: -87743 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (36.77 - 38.51) Sell
Bollinger Bands (100): (36.39 - 41.27) Sell

Global X Lithium & Battery Tech ETF 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 Global X Lithium & Battery Tech ETF Stock

Is Global X Lithium & Battery Tech ETF Stock a Buy?

LIT Technical Analysis vs Fundamental Analysis

Sell
41
Global X Lithium & Battery Tech ETF (LIT) is a Sell

Is Global X Lithium & Battery Tech ETF a Buy or a Sell?

Global X Lithium & Battery Tech ETF Stock Info

Market Cap:
0
Price in USD:
36.93
Share Volume:
163K

Global X Lithium & Battery Tech ETF 52-Week Range

52-Week High:
49.12
52-Week Low:
31.44
Sell
41
Global X Lithium & Battery Tech ETF (LIT) is a Sell

Global X Lithium & Battery Tech ETF Share Price Forecast

Is Global X Lithium & Battery Tech ETF Stock a Buy?

Technical Analysis of Global X Lithium & Battery Tech ETF

Should I short Global X Lithium & Battery Tech ETF stock?

* Global X Lithium & Battery Tech ETF stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.