Allowing for the 30-days total investment horizon, and your above average risk tolerance our recommendation regarding Atlantic Power Corporation is 'Strong Hold'. Macroaxis provides Atlantic Power Corporation buy hold or sell recommendation only in the context of selected investment horizon and investor attitude towards risk assumed by holding Atlantic Power positions. The advice algorithm takes into account all of Atlantic Power Corporation available fundamental, technical, and predictive indicators you will find on this site. The advice is provided from Atlantic Power buy-and-hold prospective. Check also Atlantic Power Analyst Recommendation to compare Macroaxis Buy or Sell Recommendation with current analyst consensus.
Atlantic Power Current RecommendationFor the selected time horizon Atlantic Power Corporation has a risk adjusted performance of 0.01, jensen alpha of 0.0, total risk alpha of 0.0, sortino ratio of 0.0 and treynor ratio of 0.0We provide buy or sell advice to complement the prevailing expert consensus on Atlantic Power. Our dynamic recommendation engine makes use of multi - dimensional algorithm to analyze the company potential to grow using all technical and fundamental data available at the time. To make sure Atlantic Power is not overpriced, please confirm all Atlantic Power fundamentals including its Number of Shares Shorted, Cash and Equivalents, Earnings Per Share, as well as the relationship between Revenue and Current Ratio . Please also double-check Atlantic Power Corporation Number of Shares Shorted to validate your buy or sell decision is consistent with all fundamental data available and that the company can sustain itself in the current economic cycle.
Atlantic Power Thematic Classifications
Returns Distribution Density
Atlantic Power Greeks
Atlantic Power Volatility Alert
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Atlantic Power Fundamental Vs Peers
Check also Atlantic Power Analyst Recommendation to compare Macroaxis Buy or Sell Recommendation with current analyst consensus. Please also try Watchlist Optimization module to optimize watchlists to build efficient portfolio or rebalance existing positions based on mean-variance optimization algorithm.