GOOG
59
-4
ISRG
67
-7
OMC
54
7
AMGN
55
-12
USB
57
2
CHD
56
-2
VRSK
54
-16
STT
60
4
ECL
59
-3
SPG
48
-2
IPG
43
4
UHS
66
12
ACN
74
4
PLD
64
-2
PGR
64
-3
VLO
46
7
MAS
68
10
EXR
51
-2
VMC
68
5
CCL
54
-6
GOOG
59
-4
ISRG
67
-7
OMC
54
7
AMGN
55
-12
USB
57
2
CHD
56
-2
VRSK
54
-16
STT
60
4
ECL
59
-3
SPG
48
-2
IPG
43
4
UHS
66
12
ACN
74
4
PLD
64
-2
PGR
64
-3
VLO
46
7
MAS
68
10
EXR
51
-2
VMC
68
5
CCL
54
-6
Financhill
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FAT Brands Stock Price Chart

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Buy
54

FAT
FAT Brands

Last Price:
5.25
Seasonality Move:
8.68%

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  • The current trend is relatively stagnant and FAT is experiencing slight buying pressure.

FAT Brands Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 5.24 Sell
20-day SMA: 5.05 Buy
50-day SMA: 5.27 Sell
200-day SMA: 6.6 Sell
8-day EMA: 5.21 Sell
20-day EMA: 5.17 Buy
50-day EMA: 5.48 Sell
200-day EMA: 6.42 Sell

FAT Brands Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.03 Sell
Relative Strength Index (14 RSI): 49.82 Sell
Chaikin Money Flow: -932 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (4.85 - 5.31) Buy
Bollinger Bands (100): (5.19 - 7.49) Sell

FAT Brands 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 FAT Brands Stock

Is FAT Brands Stock a Buy?

  • FAT Brands share price is 5.21 while FAT 8-day simple moving average is 5.24, which is a Sell signal.
  • The stock price of FAT is 5.21 while FAT Brands 20-day SMA is 5.05, which makes it a Buy.
  • FAT Brands 50-day simple moving average is 5.27 while FAT share price is 5.21, making it a Sell technically.
  • FAT stock price is 5.21 and FAT Brands 200-day simple moving average is 6.60, creating a Sell signal.

FAT Technical Analysis vs Fundamental Analysis

Buy
54
FAT Brands (FAT) is a Buy

Is FAT Brands a Buy or a Sell?

  • FAT Brands stock is rated a Buy
    The current FAT Brands [FAT] share price is $5.21. The Score for FAT is 54, which is 8% above its historic median score of 50, and infers lower risk than normal.

FAT Brands Stock Info

Market Cap:
88.55M
Price in USD:
5.21
Share Volume:
20.5K

FAT Brands 52-Week Range

52-Week High:
9.48
52-Week Low:
4.51
Buy
54
FAT Brands (FAT) is a Buy

FAT Brands Share Price Forecast

  • What is the FAT Brands stock price today?
    The FAT Brands stock price is 5.21 USD today.
  • Will FAT stock go up or go down?
    FAT Brands> share price is forecast to RISE/FALL based on technical indicators
  • Is FAT Brands overvalued?
    According to simple moving average, exponential moving average, oscillators, and other technical indicators, FAT Brands is not overvalued.

Is FAT Brands Stock a Buy?

  • FAT Brands share price is 5.21 while FAT 8-day exponential moving average is 5.21, which is a Sell signal.
  • The stock price of FAT is 5.21 while FAT Brands 20-day EMA is 5.17, which makes it a Buy.
  • FAT Brands 50-day exponential moving average is 5.48 while FAT share price is 5.21, making it a Sell technically.
  • FAT stock price is 5.21 and FAT Brands 200-day simple moving average is 6.42, creating a Sell signal.

Fundamental Analysis of FAT Brands

Is FAT Brands a good investment?

  • Analysts estimate an earnings decrease this quarter of $0.26 per share, a decrease next quarter of $0.07 per share, a decrease this year of $1.06 per share, and an increase next year of $1.55 per share.

Technical Analysis of FAT Brands

Should I short FAT Brands stock?

  • FAT Moving Average Covergence Divergence (MACD) indicator is -0.03, suggesting FAT Brands is a Sell
  • FAT Brands Relative Strength Index (RSI) is 49.82, which suggest FAT Brands is oversold
  • The Bollinger Bands (25) for FAT Brands is (4.85 - 5.31), which suggest FAT Brands is a Sell
  • The Bollinger Bands (100) for FAT Brands is (5.19 - 7.49), which suggest FAT Brands is a Sell

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