9 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. ^JPLAT was the highest-earning trade with a return of 13.51% in 14 Days. ICE_SB1 and Zinc saw outstanding returns of 7.63% and 2.7%. The package had an overall average return of 2.26% during the period.
I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 7 Days time period. ^JPLAT was the top performing prediction with a return of 3.72%. Additional high returns came from Zinc and CME_S1, at 2.3% and 2.16% respectively. The package had an overall average return of 1.24% during the period.
In this 7 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 6 out 10 trades. The prediction with the highest return was ^JPLAT, at 12.11%. Additional high returns came from CME_LC1 and PALL, at 3.68% and 1.32% respectively. The package had an overall average return of 0.61% during the period.
The algorithm correctly predicted 8 out 10 of the suggested trades in the Commodities Package for this 3 Days forecast. ICE_SB1 was the highest-earning trade with a return of 10.49% in 3 Days. Other notable stocks were ^JPLAT and CME_LC1 with a return of 10.25% and 1.69%. The package had an overall average return of 2.62% during the period.
I Know First’s State of the Art Algorithm accurately forecasted 8 out of 10 trades in this Commodities Package for the 7 Days time period. ^JPLAT was the highest-earning trade with a return of 9.96% in 7 Days. Additional high returns came from ICE_SB1 and CME_LC1, at 7.97% and 3.69% respectively. The package had an overall average return of 2.71% during the period.
For this 3 Days forecast the algorithm had successfully predicted 6 out of 10 movements. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 5.6%. ICE_SB1 and Zinc also performed well for this time horizon with returns of 3.38% and 1.88%, respectively. The package had an overall average return of 1.09% during the period.
The algorithm correctly predicted 6 out 10 of the suggested trades in the Commodities Package for this 3 Days forecast. The highest trade return came from PALL, at 2.79%. Zinc and CME_LC1 saw outstanding returns of 2.16% and 1.97%. The package had an overall average return of 0.6% during the period.
7 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. ^JPLAT was the top performing prediction with a return of 7.7%. CME_CL1 and XAG also performed well for this time horizon with returns of 2.78% and 2.57%, respectively. The package had an overall average return of 1.52% during the period.
For this 3 Months forecast the algorithm had successfully predicted 7 out of 10 movements. ^JPLAT was the top performing prediction with a return of 17.48%. GDX and PALL saw outstanding returns of 14.63% and 11.0%. The package had an overall average return of 2.31% during the period.
The algorithm correctly predicted 9 out 10 of the suggested trades in the Commodities Package for this 7 Days forecast. WOOD was the highest-earning trade with a return of 5.49% in 7 Days. CME_NG1 and Uranium also performed well for this time horizon with returns of 4.73% and 4.5%, respectively. The package had an overall average return of 2.23% during the period.
During the 3 Days forecasted period several picks in the Commodities Package saw significant returns. The algorithm had correctly predicted 9 out 10 returns. ^XNG was the top performing prediction with a return of 4.9%. WOOD and KOL also performed well for this time horizon with returns of 4.45% and 3.74%, respectively. The package had an overall average return of 2.32% during the period.
In this 3 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 7 out 10 trades. The greatest return came from ^XNG at 7.05%. KOL, and WOOD had notable returns of 4.69% and 4.66%. The package had an overall average return of 2.09% during the period.
6 out of 10 stock prices in this forecast for the Commodities Package moved as predicted by the algorithm. The top-performing prediction in this forecast was ^JPLAT, which registered a return of 27.23%. GDX and PALL also performed well for this time horizon with returns of 25.85% and 15.72%, respectively. The package had an overall average return of 6.54% during the period.
In this 7 Days forecast for the Commodities Package, there were many high performing trades and the algorithm correctly predicted 9 out 10 trades. Nickel was the highest-earning trade with a return of 14.99% in 7 Days. ^JPLAT, and XAG had notable returns of 8.66% and 7.76%. The package had an overall average return of 4.49% during the period.
For this 3 Months forecast the algorithm had successfully predicted 6 out of 10 movements. The top-performing prediction in this forecast was Nickel, which registered a return of 30.05%. PHAU.MI and PALL also performed well for this time horizon with returns of 20.67% and 9.9%, respectively. The package had an overall average return of 3.51% during the period.
Several predictions in this 7 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. The highest trade return came from Nickel, at 8.45%. Additional high returns came from XAU and XAG, at 5.63% and 5.21% respectively. The package had an overall average return of 3.2% during the period.
Several predictions in this 7 Days forecast saw significant returns. The algorithm had correctly predicted 8 out 10 stock movements. The highest trade return came from Nickel, at 7.33%. GDX and XAU also performed well for this time horizon with returns of 5.73% and 4.63%, respectively. The package had an overall average return of 2.87% during the period.
Commodity ETFs This Commodity ETFs Package is designed for investors who need commodity recommendations to find the best performing commodity ETFs in the industry. It includes 20 commodity ETFs with bullish or bearish signals indicating which are best to buy: Top 10 commodity ETFs for the long position Top 10 commodity ETFs for the short […]
