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Global X Lithium & Battery Tech ETF 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 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: 73.58 Sell
20-day SMA: 70.94 Sell
50-day SMA: 66.64 Buy
200-day SMA: 51.2 Buy
8-day EMA: 28.27 Buy
20-day EMA: 13.01 Buy
50-day EMA: 5.52 Buy
200-day EMA: 1.42 Buy

Global X Lithium & Battery Tech ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 10.11 Buy
Relative Strength Index (14 RSI): 49.64 Sell
Chaikin Money Flow: -576345 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (66.96 - 73.04) Sell
Bollinger Bands (100): (56.01 - 68.19) Buy

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

Buy
55
Global X Lithium & Battery Tech ETF (LIT) is a Buy

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:
69.95
Share Volume:
826.5K

Global X Lithium & Battery Tech ETF 52-Week Range

52-Week High:
75.86
52-Week Low:
31.44
Buy
55
Global X Lithium & Battery Tech ETF (LIT) is a Buy

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.