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Climb Global Solutions Stock Price Chart

  • The current trend is relatively stagnant and CLMB is experiencing buying pressure, which is a positive indicator for future bullish movement.

Climb Global Solutions Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 108.8 Buy
20-day SMA: 106.55 Buy
50-day SMA: 108.34 Buy
200-day SMA: 111.74 Sell
8-day EMA: 108.21 Buy
20-day EMA: 107.34 Buy
50-day EMA: 109.71 Sell
200-day EMA: 106.33 Buy

Climb Global Solutions Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.22 Buy
Relative Strength Index (14 RSI): 52.9 Buy
Chaikin Money Flow: 39282 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (103.96 - 109.02) Buy
Bollinger Bands (100): (107.2 - 127.8) Sell

Climb Global Solutions 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 Climb Global Solutions Stock

Is Climb Global Solutions Stock a Buy?

CLMB Technical Analysis vs Fundamental Analysis

Buy
60
Climb Global Solutions (CLMB) is a Buy

Is Climb Global Solutions a Buy or a Sell?

Climb Global Solutions Stock Info

Market Cap:
501.6M
Price in USD:
108.98
Share Volume:
56.5K

Climb Global Solutions 52-Week Range

52-Week High:
145.00
52-Week Low:
49.70
Buy
60
Climb Global Solutions (CLMB) is a Buy

Climb Global Solutions Share Price Forecast

Is Climb Global Solutions Stock a Buy?

Fundamental Analysis of Climb Global Solutions

Is Climb Global Solutions a good investment?

  • Analysts estimate an earnings increase this quarter of $0.81 per share, a decrease next quarter of $0.00 per share, an increase this year of $1.00 per share, and an increase next year of $0.91 per share.

Technical Analysis of Climb Global Solutions

Should I short Climb Global Solutions stock?

* Climb Global Solutions stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.