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Grayscale Bitcoin Trust (BTC) Stock Price Chart

Buy
76

GBTC
Grayscale Bitcoin Trust (BTC)

Last Price:
58.88
Seasonality Move:
29.87%

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ALL ACCESS PASS

$ 7
  • Based on the share price being above its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bullish and GBTC is experiencing buying pressure, which is a positive indicator for future bullish movement.

Grayscale Bitcoin Trust (BTC) Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 55.88 Buy
20-day SMA: 55.9 Buy
50-day SMA: 58.7 Buy
200-day SMA: 37.03 Buy
8-day EMA: 55.99 Buy
20-day EMA: 56.18 Buy
50-day EMA: 55.4 Buy
200-day EMA: 41.12 Buy

Grayscale Bitcoin Trust (BTC) Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.45 Sell
Relative Strength Index (14 RSI): 55.59 Buy
Chaikin Money Flow: 5487663 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (53.81 - 58.75) Buy
Bollinger Bands (100): (40.02 - 60.1) Buy

Grayscale Bitcoin Trust (BTC) 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 Bitcoin Trust (BTC) Stock

Is Grayscale Bitcoin Trust (BTC) Stock a Buy?

GBTC Technical Analysis vs Fundamental Analysis

Buy
76
Grayscale Bitcoin Trust (BTC) (GBTC) is a Buy

Is Grayscale Bitcoin Trust (BTC) a Buy or a Sell?

Grayscale Bitcoin Trust (BTC) Stock Info

Market Cap:
0
Price in USD:
58.82
Share Volume:
8.23M

Grayscale Bitcoin Trust (BTC) 52-Week Range

52-Week High:
65.61
52-Week Low:
10.88
Buy
76
Grayscale Bitcoin Trust (BTC) (GBTC) is a Buy

Grayscale Bitcoin Trust (BTC) Share Price Forecast

Is Grayscale Bitcoin Trust (BTC) Stock a Buy?

Technical Analysis of Grayscale Bitcoin Trust (BTC)

Should I short Grayscale Bitcoin Trust (BTC) stock?

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