Commodities Prediction Based on Neural Networks: Return up to 17.36% in 1 Month
Commodities Prediction
This commodities outlook for the 20th of May 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 (05/20/16 – 06/20/16)
I Know First Average: 7.69%
This forecast from the Commodities package saw overall growth of 7.69% compared to the S&P 500’s growth of 2.12%. The algorithm correctly forecasted all stocks to grow for this commodities forecast. Some of the biggest gainers include: XME returned 17.36%, KOL returned 15.01%, Coal returned 11.99%.
XME is an ETF. Seeking to track the performance of the S&P Metals & Mining Select Industry Index (the “index”), the fund employs a sampling strategy.
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.