Ignis Petroleum Group Stock Analysis

Ignis Stock Analysis Notes

The company had not issued any dividends in recent years. Ignis Petroleum Group had 5.988:1 split on the 16th of June 2005. Ignis Petroleum Group, Inc. engages in the exploration, development, and production of crude oil and natural gas properties in the United States. Ignis Petroleum Group, Inc. was founded in 2004 and is based in Dallas, Texas. Ignis Petroleum is traded on OTC Exchange in the United States. To learn more about Ignis Petroleum Group call the company at 214 459 8188.

Ignis Petroleum Group Investment Alerts

Ignis Market Capitalization

The company currently falls under 'Nano-Cap' category with a current market capitalization of 74.14 K.

Ignis Profitablity

The company has Profit Margin (PM) of (0.62) %, which may suggest that it does not properly executes on its current pricing strategies or is unable to control all of the operational costs. This is way below average. Similarly, it shows Operating Margin (OM) of (0.17) %, which suggests for every $100 dollars of sales, it generated a net operating loss of $0.17.

Technical Drivers

As of the 23rd of July, Ignis Petroleum retains the Risk Adjusted Performance of 0.1245, market risk adjusted performance of (0.44), and Standard Deviation of 127.0. Ignis Petroleum technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the firm's future prices. Please check out Ignis Petroleum Group variance and skewness to decide if Ignis Petroleum is priced fairly, providing market reflects its last-minute price of 1.0E-4 per share. As Ignis Petroleum Group appears to be a penny stock we also urge to confirm its information ratio numbers.

Ignis Petroleum Group Price Movement Analysis

Ignis Petroleum Predictive Daily Indicators

Ignis Petroleum Forecast Models

Ignis Petroleum's time-series forecasting models are one of many Ignis Petroleum's stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Ignis Petroleum's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

Stock analysis is the technique used by a trader or investor to examine and evaluate how Ignis Petroleum prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling Ignis shares will generate the highest return on investment. We also built our stock analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Stock such as Ignis Petroleum. By using and applying Ignis Stock analysis, traders can create a robust methodology for identifying Ignis entry and exit points for their positions.

When running Ignis Petroleum's price analysis, check to measure Ignis Petroleum's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Ignis Petroleum is operating at the current time. Most of Ignis Petroleum's value examination focuses on studying past and present price action to predict the probability of Ignis Petroleum's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ignis Petroleum's price. Additionally, you may evaluate how the addition of Ignis Petroleum to your portfolios can decrease your overall portfolio volatility.