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CI&T, Inc. (Brazil) 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 CINT is experiencing selling pressure, which indicates risk of future bearish movement.

CI&T, Inc. (Brazil) Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 5 Buy
20-day SMA: 4.92 Buy
50-day SMA: 4.69 Buy
200-day SMA: 5.18 Sell
8-day EMA: 4.6 Buy
20-day EMA: 3.16 Buy
50-day EMA: 1.65 Buy
200-day EMA: 0.47 Buy

CI&T, Inc. (Brazil) Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 1.38 Buy
Relative Strength Index (14 RSI): 55.16 Buy
Chaikin Money Flow: -99418 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (4.61 - 5.09) Buy
Bollinger Bands (100): (4.36 - 5) Buy

CI&T, Inc. (Brazil) 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 CI&T, Inc. (Brazil) Stock

Is CI&T, Inc. (Brazil) Stock a Buy?

CINT Technical Analysis vs Fundamental Analysis

Buy
62
CI&T, Inc. (Brazil) (CINT) is a Buy

Is CI&T, Inc. (Brazil) a Buy or a Sell?

CI&T, Inc. (Brazil) Stock Info

Market Cap:
646.8M
Price in USD:
5.01
Share Volume:
159.9K

CI&T, Inc. (Brazil) 52-Week Range

52-Week High:
7.50
52-Week Low:
3.98
Buy
62
CI&T, Inc. (Brazil) (CINT) is a Buy

CI&T, Inc. (Brazil) Share Price Forecast

Is CI&T, Inc. (Brazil) Stock a Buy?

Fundamental Analysis of CI&T, Inc. (Brazil)

Is CI&T, Inc. (Brazil) a good investment?

  • Analysts estimate an earnings increase this quarter of $2.95 per share, a decrease next quarter of $0.00 per share, an increase this year of $1.77 per share, and an increase next year of $1.55 per share.

Technical Analysis of CI&T, Inc. (Brazil)

Should I short CI&T, Inc. (Brazil) stock?

* CI&T, Inc. (Brazil) stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.