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TFS Financial Corp. 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 TFSL is experiencing slight buying pressure.

TFS Financial Corp. Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 14.01 Buy
20-day SMA: 14.1 Buy
50-day SMA: 13.72 Buy
200-day SMA: 13.16 Buy
8-day EMA: 7.55 Buy
20-day EMA: 3.7 Buy
50-day EMA: 1.61 Buy
200-day EMA: 0.42 Buy

TFS Financial Corp. Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 2.68 Buy
Relative Strength Index (14 RSI): 59.39 Buy
Chaikin Money Flow: 789935 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (13.66 - 14.3) Buy
Bollinger Bands (100): (13.08 - 13.96) Buy

TFS Financial Corp. 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 TFS Financial Corp. Stock

Is TFS Financial Corp. Stock a Buy?

TFSL Technical Analysis vs Fundamental Analysis

Buy
53
TFS Financial Corp. (TFSL) is a Buy

Is TFS Financial Corp. a Buy or a Sell?

TFS Financial Corp. Stock Info

Market Cap:
4B
Price in USD:
14.31
Share Volume:
1.6M

TFS Financial Corp. 52-Week Range

52-Week High:
14.73
52-Week Low:
11.29
Buy
53
TFS Financial Corp. (TFSL) is a Buy

TFS Financial Corp. Share Price Forecast

Is TFS Financial Corp. Stock a Buy?

Fundamental Analysis of TFS Financial Corp.

Is TFS Financial Corp. 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 $0.04 per share, and an increase next year of $0.05 per share.

Technical Analysis of TFS Financial Corp.

Should I short TFS Financial Corp. stock?

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