Triton International 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 TRTN is experiencing buying pressure, which is a positive indicator for future bullish movement.

Triton International Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 82.92 Buy
20-day SMA: 82.87 Buy
50-day SMA: 77.52 Buy
200-day SMA: 67.79 Buy
8-day EMA: 82.93 Buy
20-day EMA: 82.39 Buy
50-day EMA: 78.77 Buy
200-day EMA: 69.97 Buy

Triton International Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 1.12 Buy
Relative Strength Index (14 RSI): 66.13 Buy
Chaikin Money Flow: 328892 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (82.38 - 83.16) Buy
Bollinger Bands (100): (64.73 - 81.23) Buy

Triton International 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 Triton International Stock

Is Triton International Stock a Buy?

TRTN Technical Analysis vs Fundamental Analysis

Triton International (TRTN) is a Sell

Is Triton International a Buy or a Sell?

Triton International Stock Info

Market Cap:
Price in USD:
Share Volume:

Triton International 52-Week Range

52-Week High:
52-Week Low:
Triton International (TRTN) is a Sell

Triton International Share Price Forecast

Is Triton International Stock a Buy?

Fundamental Analysis of Triton International

Is Triton International a good investment?

  • Analysts estimate an earnings decrease this quarter of $0.41 per share, an increase next quarter of $0.05 per share, a decrease this year of $1.87 per share, and an increase next year of $0.40 per share.

Technical Analysis of Triton International

Should I short Triton International stock?

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