Commodity Forecast Based On Self Learning Algorithm: Up To 39.29% Return In 1 Month
Commodity Forecast
The Commodity Forecast for the 28th of February 2016 represents the top performing commodities for the 1 month period outlook.
Recommended Long and Short Positions
This Forecast Includes:
- Top 10 Commodities for the long position
- Top 10 Commodities for the short position
Package Name: Commodities Forecast
Forecast Length: 1 month (02/28/16 – 03/28/16)
I Know First Average: 9.42%
The Commodities forecast for February 26th , 2016 had 9 out of 10 stocks increase in accordance with the algorithm’s predictions. Coal was the top stock in the 1-month package with a return of 39.29%. I Know First investors who invested evenhandedly in the top 10 stocks of this package saw an overall return of 9.42%.
Market Vectors Gold Miners ETF (GDX) The investment seeks to replicate as closely as possible, before fees and expenses, the price and yield performance of the NYSE Arca Gold Miners Index. The fund normally invests at least 80% of its total assets in securities that comprise the Gold Miners Index.
How to interpret this diagram
The Algorithm: The system is a predictive algorithm that is based on Artificial Intelligence (AI), Machine Learning (ML), and incorporating elements of Artificial Neural Networks and Genetic Algorithms. The system’s predictive analytics are self-updating, and thus live. The algorithm is a powerful resource for any investor conducting black-box trading or algotrading.
Please, note – For trading decisions use the most recent forecast. Get today’s forecast and Top stock picks.