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Savers Value Village Stock Price Chart

  • Based on the share price being below its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bearish and SVV is experiencing slight selling pressure.

Savers Value Village Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 6.93 Buy
20-day SMA: 7.45 Sell
50-day SMA: 9.54 Sell
200-day SMA: 10.19 Sell
8-day EMA: 7.03 Sell
20-day EMA: 7.68 Sell
50-day EMA: 8.84 Sell
200-day EMA: 10.87 Sell

Savers Value Village Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.82 Sell
Relative Strength Index (14 RSI): 34.43 Sell
Chaikin Money Flow: -241631 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (6.43 - 9.99) Sell
Bollinger Bands (100): (8.31 - 11.09) Sell

Savers Value Village 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 Savers Value Village Stock

Is Savers Value Village Stock a Buy?

SVV Technical Analysis vs Fundamental Analysis

Sell
16
Savers Value Village (SVV) is a Sell

Is Savers Value Village a Buy or a Sell?

Savers Value Village Stock Info

Market Cap:
1.1B
Price in USD:
7.01
Share Volume:
1.1M

Savers Value Village 52-Week Range

52-Week High:
19.72
52-Week Low:
6.48
Sell
16
Savers Value Village (SVV) is a Sell

Savers Value Village Share Price Forecast

Is Savers Value Village Stock a Buy?

Fundamental Analysis of Savers Value Village

Is Savers Value Village a good investment?

  • Analysts estimate an earnings decrease this quarter of $0.02 per share, a decrease next quarter of $0.14 per share, a decrease this year of $0.10 per share, and an increase next year of $0.10 per share.

Technical Analysis of Savers Value Village

Should I short Savers Value Village stock?

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