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Grayscale Stellar Lumens Trust (XLM) 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 GXLM is experiencing buying pressure, which is a positive indicator for future bullish movement.

Grayscale Stellar Lumens Trust (XLM) Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 17.22 Buy
20-day SMA: 17.68 Buy
50-day SMA: 18.13 Sell
200-day SMA: 31.44 Sell
8-day EMA: 17.24 Buy
20-day EMA: 17.48 Buy
50-day EMA: 19.01 Sell
200-day EMA: 26.12 Sell

Grayscale Stellar Lumens Trust (XLM) Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.31 Sell
Relative Strength Index (14 RSI): 50.47 Buy
Chaikin Money Flow: 8129 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (15.73 - 18.65) Buy
Bollinger Bands (100): (16.55 - 29.55) Sell

Grayscale Stellar Lumens Trust (XLM) 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 Grayscale Stellar Lumens Trust (XLM) Stock

Is Grayscale Stellar Lumens Trust (XLM) Stock a Buy?

GXLM Technical Analysis vs Fundamental Analysis

Sell
27
Grayscale Stellar Lumens Trust (XLM) (GXLM) is a Sell

Is Grayscale Stellar Lumens Trust (XLM) a Buy or a Sell?

Grayscale Stellar Lumens Trust (XLM) Stock Info

Market Cap:
0
Price in USD:
17.80
Share Volume:
8.13K

Grayscale Stellar Lumens Trust (XLM) 52-Week Range

52-Week High:
68.74
52-Week Low:
12.50
Sell
27
Grayscale Stellar Lumens Trust (XLM) (GXLM) is a Sell

Grayscale Stellar Lumens Trust (XLM) Share Price Forecast

Is Grayscale Stellar Lumens Trust (XLM) Stock a Buy?

Technical Analysis of Grayscale Stellar Lumens Trust (XLM)

Should I short Grayscale Stellar Lumens Trust (XLM) stock?

* Grayscale Stellar Lumens Trust (XLM) stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.