KMI
38
2
HST
30
3
TRV
46
3
VMC
50
-3
KIM
54
17
CCI
28
3
RF
61
4
ROP
42
-3
CINF
43
2
EMN
45
-3
NRG
54
2
COF
50
3
SLG
48
2
LB
35
3
CAT
46
4
SWK
39
2
AES
37
2
ZTS
16
-7
BK
68
2
CTAS
50
-2
KMI
38
2
HST
30
3
TRV
46
3
VMC
50
-3
KIM
54
17
CCI
28
3
RF
61
4
ROP
42
-3
CINF
43
2
EMN
45
-3
NRG
54
2
COF
50
3
SLG
48
2
LB
35
3
CAT
46
4
SWK
39
2
AES
37
2
ZTS
16
-7
BK
68
2
CTAS
50
-2
Financhill
Back

Battalion Oil Stock Price Chart

The key to a $1.3T opportunity

This is a paid advertisement for Pacaso's Regulation A offering. Please read the offering circular and related risks at invest.pacaso.com. Reserving the ticker symbol is not a guarantee that the compa
Buy
52

BATL
Battalion Oil

Last Price:
$2.53
Seasonality Move:
-9.71%

7 Day Trial

ALL ACCESS PASS

$ 7

How to hack a $1.3T market

This is a paid advertisement for Pacaso's Regulation A offering. Please read the offering circular and related risks at invest.pacaso.com. Reserving the ticker symbol is not a guarantee that the compa
  • Based on the share price being above its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bullish and BATL is experiencing slight selling pressure.

Battalion Oil Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 1.91 Buy
20-day SMA: 1.57 Buy
50-day SMA: 1.4 Buy
200-day SMA: 2.87 Sell
8-day EMA: 2.11 Buy
20-day EMA: 1.72 Buy
50-day EMA: 1.53 Buy
200-day EMA: 2.55 Buy

Battalion Oil Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.28 Buy
Relative Strength Index (14 RSI): 81.66 Buy
Chaikin Money Flow: -867710 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (1.07 - 1.97) Buy
Bollinger Bands (100): (1.14 - 1.76) Buy

Battalion Oil 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 Battalion Oil Stock

Is Battalion Oil Stock a Buy?

  • Battalion Oil share price is 2.62 while BATL 8-day simple moving average is 1.91, which is a Buy signal.
  • The stock price of BATL is 2.62 while Battalion Oil 20-day SMA is 1.57, which makes it a Buy.
  • Battalion Oil 50-day simple moving average is 1.40 while BATL share price is 2.62, making it a Buy technically.
  • BATL stock price is 2.62 and Battalion Oil 200-day simple moving average is 2.87, creating a Sell signal.

BATL Technical Analysis vs Fundamental Analysis

Buy
52
Battalion Oil (BATL) is a Buy

Is Battalion Oil a Buy or a Sell?

  • Battalion Oil stock is rated a Buy
    The current Battalion Oil [BATL] share price is $2.62. The Score for BATL is 52, which is 4% above its historic median score of 50, and infers lower risk than normal.

Battalion Oil Stock Info

Market Cap:
43.1M
Price in USD:
2.62
Share Volume:
2.1M

Battalion Oil 52-Week Range

52-Week High:
6.89
52-Week Low:
1.05
Buy
52
Battalion Oil (BATL) is a Buy

Battalion Oil Share Price Forecast

  • What is the Battalion Oil stock price today?
    The Battalion Oil stock price is 2.62 USD today.
  • Will BATL stock go up or go down?
    Battalion Oil> share price is forecast to RISE/FALL based on technical indicators
  • Is Battalion Oil overvalued?
    According to simple moving average, exponential moving average, oscillators, and other technical indicators, Battalion Oil is not overvalued.

Is Battalion Oil Stock a Buy?

  • Battalion Oil share price is 2.62 while BATL 8-day exponential moving average is 2.11, which is a Buy signal.
  • The stock price of BATL is 2.62 while Battalion Oil 20-day EMA is 1.72, which makes it a Buy.
  • Battalion Oil 50-day exponential moving average is 1.53 while BATL share price is 2.62, making it a Buy technically.
  • BATL stock price is 2.62 and Battalion Oil 200-day simple moving average is 2.55, creating a Buy signal.

Technical Analysis of Battalion Oil

Should I short Battalion Oil stock?

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