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Brilliant Earth Group 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 BRLT is experiencing slight selling pressure.

Brilliant Earth Group Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 1.53 Sell
20-day SMA: 1.51 Buy
50-day SMA: 1.48 Buy
200-day SMA: 1.8 Sell
8-day EMA: 1.52 Sell
20-day EMA: 1.52 Buy
50-day EMA: 1.53 Sell
200-day EMA: 1.84 Sell

Brilliant Earth Group Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.01 Buy
Relative Strength Index (14 RSI): 50.52 Buy
Chaikin Money Flow: -3219 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (1.45 - 1.55) Buy
Bollinger Bands (100): (1.4 - 1.88) Sell

Brilliant Earth Group 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 Brilliant Earth Group Stock

Is Brilliant Earth Group Stock a Buy?

BRLT Technical Analysis vs Fundamental Analysis

Sell
34
Brilliant Earth Group (BRLT) is a Sell

Is Brilliant Earth Group a Buy or a Sell?

Brilliant Earth Group Stock Info

Market Cap:
21.8M
Price in USD:
1.52
Share Volume:
11.8K

Brilliant Earth Group 52-Week Range

52-Week High:
2.74
52-Week Low:
1.25
Sell
34
Brilliant Earth Group (BRLT) is a Sell

Brilliant Earth Group Share Price Forecast

Is Brilliant Earth Group Stock a Buy?

Fundamental Analysis of Brilliant Earth Group

Is Brilliant Earth Group a good investment?

  • Analysts estimate an earnings decrease this quarter of $0.01 per share, a decrease next quarter of $0.03 per share, a decrease this year of $0.02 per share, and an increase next year of $0.02 per share.

Technical Analysis of Brilliant Earth Group

Should I short Brilliant Earth Group stock?

* Brilliant Earth Group stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.