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Imperial Petroleum Stock Price Chart

  • The current trend is moderately bearish and IMPP is experiencing slight selling pressure.

Imperial Petroleum Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 3.31 Sell
20-day SMA: 3.18 Sell
50-day SMA: 2.84 Buy
200-day SMA: 3.07 Buy
8-day EMA: 3.21 Sell
20-day EMA: 3.14 Sell
50-day EMA: 2.93 Buy
200-day EMA: 2.99 Buy

Imperial Petroleum Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.12 Buy
Relative Strength Index (14 RSI): 51.05 Buy
Chaikin Money Flow: -9111 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (2.83 - 3.35) Buy
Bollinger Bands (100): (2.39 - 3.01) Buy

Imperial Petroleum 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 Imperial Petroleum Stock

Is Imperial Petroleum Stock a Buy?

IMPP Technical Analysis vs Fundamental Analysis

Sell
31
Imperial Petroleum (IMPP) is a Sell

Is Imperial Petroleum a Buy or a Sell?

Imperial Petroleum Stock Info

Market Cap:
106.7M
Price in USD:
3.10
Share Volume:
123K

Imperial Petroleum 52-Week Range

52-Week High:
4.55
52-Week Low:
2.12
Sell
31
Imperial Petroleum (IMPP) is a Sell

Imperial Petroleum Share Price Forecast

Is Imperial Petroleum Stock a Buy?

  • Imperial Petroleum share price is 3.10 while IMPP 8-day exponential moving average is 3.21, which is a Sell signal.
  • The stock price of IMPP is 3.10 while Imperial Petroleum 20-day EMA is 3.14, which makes it a Sell.
  • Imperial Petroleum 50-day exponential moving average is 2.93 while IMPP share price is 3.10, making it a Buy technically.
  • IMPP stock price is 3.10 and Imperial Petroleum 200-day simple moving average is 2.99, creating a Buy signal.

Technical Analysis of Imperial Petroleum

Should I short Imperial Petroleum stock?

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