African Queen Profile

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USD 0.01  7.94%
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African Queen Summary

African Queen Mines Ltd (AFQMF) is traded on OTC Market in USA. It is located in 1153 56th Street and employs 9 people. The company currently falls under 'Nano-Cap' category with current market capitalization of 3.64 M. African Queen Mines Ltd has 25.3 M outstanding shares. AFRICAN QN MINES has accumulated about 4.54 K in cash with (349.38 K) of positive cash flow from operations.
Check African Queen Probability Of Bankruptcy

Target Price Odds Analysis

Odds Below 0.138HorizonTargetOdds Above 0.138
100.00%30 days 0.14 0.00%
Based on normal probability distribution, the odds of African Queen to move above current price in 30 days from now is near 1% (This African Queen Mines Ltd probability density function shows the probability of African Queen Stock to fall within a particular range of prices over 30 days) .

Key Fundamentals

African Queen Against Markets

Current Ratings

African Queen 30 Days Performance Scores
Risk Adjusted
Performance Score (0 to 100)
0 
Chance of
Financial Distress (0 to 100%)
77 
Equity ratings for African Queen Mines Ltd are calculated dynamically based on Macroaxis scoring framework. Click here to learn more
Desert Mountain Energy Corp., an exploratory resource company, engages in the exploration and development of helium, and oil and gas properties in the Southwestern United States. The company was founded in 2008 and is based in Delta, Canada. African Queen is traded on OTC Market in USA. more
NameAfrican Queen Mines Ltd
Chairman, CEO and PresIrwin OlianView All
Macroaxis Advice
InstrumentUSA Stock View All
Business Address1153 56th Street
ExchangeOTC Market
BenchmarkDOW
Websitewww.desertmountainenergy.com/
Phone604 788 0300
CurrencyUSD - US Dollar

African Queen Corporate Directors

Jennifer Todhunter CFO, Secretary, Director and Member of Audit Committee
Ardito Martohardjono VP of Lab Services and Director
Edward Schiller Independent Director
Check also Trending Equities. Please also try Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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