This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. The highest trade return came from Coffee, at 2.84%. Further notable returns came from XME and ICE_B1 at 1.76% and 1.58%, respectively. The package had an overall average return of 1.11% during the period.
During the 7 Days forecasted period several market futures picks in the Package that saw significant returns. The algorithm had correctly predicted 8 out 10 returns. The highest trade return came from ICE_KC1, at 5.46%. Further notable returns came from SHFE_RU1 and ICE_SB1 at 3.24% and 3.05%, respectively. The package had an overall average return of 1.5% during the very same investment forecasting time period.
The algorithm correctly predicted 8 out 10 of the suggested trades in the Commodities Package for this 1 Month forecast. The highest trade return came from SHFE_RU1, at 15.58%. ICE_KC1 and CME_WS1 saw outstanding returns of 14.54% and 5.06%. The package had an overall average return of 3.15% during the period.
For this 3 Months forecast the algorithm had successfully predicted 6 out of 10 movements. The greatest return came from SHFE_RU1 at 16.26%. CME_CL1 and CME_WS1 saw outstanding returns of 3.86% and 3.86%. The package had an overall average return of 1.8% during the period.
Commodity Price Forecast This Commodities Package is designed for investors who need commodity recommendations to find the best performing commodities in the market. It includes 20 commodity price forecast with bullish or bearish signals indicating which are the best to buy: Top 10 commodities for the long position Top 10 commodities for the short position […]
For this 14 Days forecast the algorithm had successfully predicted 7 out of 10 movements. The top-performing prediction in this forecast was SHFE_RU1, which registered a return of 3.1%. Further notable returns came from SHFE_RB5 and CME_WS1 at 1.65% and 1.61%, respectively. The package had an overall average return of 0.54% during the period.
This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. SHFE_RU1 was the top performing prediction with a return of 16.07%. CME_CL1 and SHFE_CU9 followed with returns of 4.0% and 1.97% for the 3 Months period. The package had an overall average return of 1.5% during the period.
During the 7 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 6 out 10 returns. ICE_KC1 was the top performing prediction with a return of 6.18%. Further notable returns came from ^JPLAT and Coffee at 5.2% and 3.76%, respectively. The package had an overall average return of 0.79% during the period.
Several predictions in this 3 Months forecast saw significant returns. The algorithm had correctly predicted 7 out 10 stock movements. The top performing prediction from this package was SHFE_RU1 with a return of 16.16%. Additional high returns came from SHFE_RB5 and SHFE_CU9, at 2.94% and 1.64% respectively. The package had an overall average return of 1.73% during the period.
This Commodities Package forecast had correctly predicted 7 out of 10 stock movements. The greatest return came from SHFE_RU1 at 17.08%. SHFE_RB5, and CME_S1 had notable returns of 4.49% and 2.31%. The package had an overall average return of 1.94% during the period.
7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. The greatest return came from ICE_KC1 at 25.05%. SHFE_RU1 and CME_WS1 saw outstanding returns of 19.67% and 5.79%. The package had an overall average return of 5.5% during the period.
Commodity Futures This Commodity Futures Package is designed for investors who need commodity recommendations to find the best performing commodity futures in the industry. It includes 20 commodity futures with bullish or bearish signals indicating which are best to buy: Top 10 commodity futures for the long position Top 10 commodity futures for the short […]
This Commodities Package forecast had correctly predicted 9 out of 10 stock movements. The top performing prediction from this package was ICE_KC1 with a return of 17.95%. SHFE_RU1 and ICE_SB1 also performed well for this time horizon with returns of 13.95% and 3.56%, respectively. The package had an overall average return of 4.42% during the period.
Commodity Futures This Commodity Futures Package is designed for investors who need commodity recommendations to find the best performing commodity futures in the industry. It includes 20 commodity futures with bullish or bearish signals indicating which are best to buy: Top 10 commodity futures for the long position Top 10 commodity futures for the short […]
Several predictions in this 14 Days forecast saw significant returns. The algorithm had correctly predicted 6 out 10 stock movements. The top performing prediction from this package was SHFE_RU1 with a return of 13.79%. Additional high returns came from ICE_KC1 and SHFE_RB5, at 8.66% and 3.52% respectively. The package had an overall average return of 2.66% during the period.
Commodity Futures This Commodity Futures Package is designed for investors who need commodity recommendations to find the best performing commodity futures in the industry. It includes 20 commodity futures with bullish or bearish signals indicating which are best to buy: Top 10 commodity futures for the long position Top 10 commodity futures for the short […]
Several predictions in this 3 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. The prediction with the highest return was PALL, at 3.07%. Other notable stocks were Coffee and XME with a return of 2.42% and 2.4%. The package had an overall average return of 1.06% during the period.
Commodity Outlook This Commodities Package is designed for investors who need commodity recommendations to find the best performing commodities in the industry. It includes 20 Commodity Outlook with bullish or bearish signals indicating which are best to buy: Top 10 commodities for the long position Top 10 commodities for the short position Package Name: Commodities […]
