MMC
53
5
K
45
4
NAVI
52
-3
KMI
48
6
WM
56
3
MOS
53
-2
WMB
44
2
MCO
62
3
HON
74
2
AAP
48
-2
PFG
45
2
HP
37
-4
GLW
49
5
APD
52
-2
LYB
37
-4
MDT
50
-2
SWKS
49
-2
JBHT
46
-3
NTAP
46
-9
GE
78
6
MMC
53
5
K
45
4
NAVI
52
-3
KMI
48
6
WM
56
3
MOS
53
-2
WMB
44
2
MCO
62
3
HON
74
2
AAP
48
-2
PFG
45
2
HP
37
-4
GLW
49
5
APD
52
-2
LYB
37
-4
MDT
50
-2
SWKS
49
-2
JBHT
46
-3
NTAP
46
-9
GE
78
6
Financhill
Back

Big Lots Stock Price Chart

This Tech Company Grew 32,481%...

This is a paid advertisement for Mode Mobile Regulation A offering. Please read the offering circular and related risks at invest.modemobile.com.
Sell
17

BIGGQ
Big Lots

Last Price:
$0.0100
Seasonality Move:
-4.89%

7 Day Trial

ALL ACCESS PASS

$ 7
  • Based on the share price being below its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bearish and BIGGQ is experiencing slight buying pressure.

Big Lots Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 0.01 Buy
20-day SMA: 0.01 Buy
50-day SMA: 0.02 Sell
200-day SMA: 0.07 Sell
8-day EMA: 0.01 Sell
20-day EMA: 0.01 Sell
50-day EMA: 0.02 Sell
200-day EMA: 0.48 Sell

Big Lots Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0 Sell
Relative Strength Index (14 RSI): 48.88 Sell
Chaikin Money Flow: 0 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (0.0004 - 0.0204) Sell
Bollinger Bands (100): (0.0104 - 0.0304) Sell

Big Lots 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 Big Lots Stock

Is Big Lots Stock a Buy?

  • Big Lots share price is 0.0100 while BIGGQ 8-day simple moving average is 0.0091, which is a Buy signal.
  • The stock price of BIGGQ is 0.0100 while Big Lots 20-day SMA is 0.0099, which makes it a Buy.
  • Big Lots 50-day simple moving average is 0.0166 while BIGGQ share price is 0.0100, making it a Sell technically.
  • BIGGQ stock price is 0.0100 and Big Lots 200-day simple moving average is 0.0735, creating a Sell signal.

BIGGQ Technical Analysis vs Fundamental Analysis

Sell
17
Big Lots (BIGGQ) is a Sell

Is Big Lots a Buy or a Sell?

  • Big Lots stock is rated a Sell
    The current Big Lots [BIGGQ] share price is $0.0100. The Score for BIGGQ is 17, which is 66% below its historic median score of 50, and infers higher risk than normal.

Big Lots Stock Info

Market Cap:
296.9K
Price in USD:
0.0100
Share Volume:
25.5K

Big Lots 52-Week Range

52-Week High:
1.4800
52-Week Low:
0.0001
Sell
17
Big Lots (BIGGQ) is a Sell

Big Lots Share Price Forecast

  • What is the Big Lots stock price today?
    The Big Lots stock price is 0.0100 USD today.
  • Will BIGGQ stock go up or go down?
    Big Lots> share price is forecast to RISE/FALL based on technical indicators
  • Is Big Lots overvalued?
    According to simple moving average, exponential moving average, oscillators, and other technical indicators, Big Lots is overvalued.

Is Big Lots Stock a Buy?

  • Big Lots share price is 0.0100 while BIGGQ 8-day exponential moving average is 0.0119, which is a Sell signal.
  • The stock price of BIGGQ is 0.0100 while Big Lots 20-day EMA is 0.0113, which makes it a Sell.
  • Big Lots 50-day exponential moving average is 0.0170 while BIGGQ share price is 0.0100, making it a Sell technically.
  • BIGGQ stock price is 0.0100 and Big Lots 200-day simple moving average is 0.4760, creating a Sell signal.

Technical Analysis of Big Lots

Should I short Big Lots stock?

  • BIGGQ Moving Average Covergence Divergence (MACD) indicator is -0, suggesting Big Lots is a Sell
  • Big Lots Relative Strength Index (RSI) is 48.88, which suggest Big Lots is oversold
  • The Bollinger Bands (25) for Big Lots is (0.0004 - 0.0204), which suggest Big Lots is a Sell
  • The Bollinger Bands (100) for Big Lots is (0.0104 - 0.0304), which suggest Big Lots is a Sell

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