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Argo Blockchain PLC 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 ARBK is experiencing slight buying pressure.

Argo Blockchain PLC Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 1.19 Sell
20-day SMA: 1.22 Sell
50-day SMA: 1.18 Sell
200-day SMA: 1.43 Sell
8-day EMA: 1.18 Sell
20-day EMA: 1.19 Sell
50-day EMA: 1.2 Sell
200-day EMA: 1.39 Sell

Argo Blockchain PLC Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.01 Sell
Relative Strength Index (14 RSI): 48.52 Sell
Chaikin Money Flow: 510766 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (1.12 - 1.28) Sell
Bollinger Bands (100): (1.09 - 1.39) Sell

Argo Blockchain PLC 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 Argo Blockchain PLC Stock

Is Argo Blockchain PLC Stock a Buy?

ARBK Technical Analysis vs Fundamental Analysis

Buy
54
Argo Blockchain PLC (ARBK) is a Buy

Is Argo Blockchain PLC a Buy or a Sell?

Argo Blockchain PLC Stock Info

Market Cap:
74.45M
Price in USD:
1.17
Share Volume:
1.53M

Argo Blockchain PLC 52-Week Range

52-Week High:
4.45
52-Week Low:
1.02
Buy
54
Argo Blockchain PLC (ARBK) is a Buy

Argo Blockchain PLC Share Price Forecast

Is Argo Blockchain PLC Stock a Buy?

Fundamental Analysis of Argo Blockchain PLC

Is Argo Blockchain PLC a good investment?

  • Analysts estimate an earnings increase this quarter of $0.00 per share, a decrease next quarter of $0.00 per share, an increase this year of $0.72 per share, and a decrease next year of $0.00 per share.

Technical Analysis of Argo Blockchain PLC

Should I short Argo Blockchain PLC stock?

* Argo Blockchain PLC stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.