BTH skyrocketing 104.79% in just two weeks. MTL also had an amazing return of 67.16% during that time, as seven of the ten stocks increased at least 14%. The average return of the forecast was 26.60% during the predicted time horizon, more than six times greater than the S&P 500 return of 4.02% during the same time period. BTH and MTL were also the top performing stocks in the 104.79% and 67.16%. Five of the stocks in this forecast had returns greater than 15%, with Hovnanian Enterprises (HOV) and First Bancorp (FBP) increasing 22.50% and 18.53%. The average return of this forecast was 25.94%, six times more than the S&P 500 return during the same time. The MRO), ALNY, and Vertex Pharmaceuticals (VRTX) had good returns of 13.41%, 12.88%, and 11.60%. The average return of this forecast was 7.15%, compared to the S&P 500 return of 4.02%.



6. The 68%, of the currency pairs. The top performing currency pair was the US dollar against the Brazilian real (USD/BRL), which offered returns of 9.76% as the algorithm predicted. Other top performing currency pairs were the US dollar against the South African rand (USD/ZAR), the Japanese yen against the British pound (JPY/GBP), and the US dollar against the Australian dollar (USD/AUD). They had returns of 6.99%, 5.96%, and 5.57%.



7. The one-year ACLS) had the best return for the long position, increasing 62.31% during the predicted time horizon. Other top performing stocks were Netflix (NFLX) and Amazon.com (AMZN), which had returns of 45.38% and 44.06%. For the short position, Advanced Micro Devices (AMD) had the greatest return, falling 56.14% as the algorithm predicted. AIXTRON SE (AIXG) and Sify Technologies Limited (SIFY) also offered impressive returns of 49.61% and 40.36%. The average returns for the long and short positions were 19.21% and 24.45%, while the S&P 500 average fell 4.31% during the same time period. 5. A number of forecasts had strong performances for the 14-day time horizon. The Small Cap Stocks forecast had all ten stocks increase as the algorithm predicted, withskyrocketingin just two weeks.also had an amazing return ofduring that time, as seven of the ten stocks increased at least. The average return of the forecast wasduring the predicted time horizon, more than six times greater than the S&P 500 return ofduring the same time period.andwere also the top performing stocks in the Stocks Under 10 Dollars forecast with returns ofand. Five of the stocks in this forecast had returns greater than, with Hovnanian Enterprises () and First Bancorp () increasingand. The average return of this forecast was, six times more than the S&P 500 return during the same time. The Top 10 Stocks forecast for the same time period also had an impressive performance. All ten stocks increased as the algorithm predicted, with Marathon Oil (),, and Vertex Pharmaceuticals () had good returns of, and. The average return of this forecast was, compared to the S&P 500 return of6. The Currency forecast for the 14-day time horizon included predictions for 25 different currency pairs. The algorithm correctly predicted 17 of the 25, or, of the currency pairs. The top performing currency pair was the US dollar against the Brazilian real (), which offered returns ofas the algorithm predicted. Other top performing currency pairs were the US dollar against the South African rand (), the Japanese yen against the British pound (), and the US dollar against the Australian dollar (). They had returns of, and7. The one-year Tech Stocks forecast included the top ten stocks for the long and the short position. Axcelis Technologies () had the best return for the long position, increasingduring the predicted time horizon. Other top performing stocks were Netflix () and Amazon.com (), which had returns ofand. For the short position, Advanced Micro Devices () had the greatest return, fallingas the algorithm predicted. AIXTRON SE () and Sify Technologies Limited () also offered impressive returns ofand. The average returns for the long and short positions wereand, while the S&P 500 average fellduring the same time period.