1. Best AI-Based Algorithmic Predictions This Week The 14 day forecasts were this week's most impressive performing predictions. The top 14 day predictions came from this Pharma Stocks forecast, Biotech Stocks forecast, 52 Week Low Stocks forecast, and Risk Conscious Stocks forecast. In just 14 days, PPHM had a outstanding return of 77.42% from the Pharma Stocks forecast. All four packages had an overall accuracy forecast of 90%, with overall averages of 14.72%, 12.80%, 12.23%, and 10.29%, respectively. Other high performing stocks were PLX, GOL, and SPWR; with returns of 32.91%, 41.08% and 22.75%, respectively.
2. Outstanding Year Long Predictions With Almost 312% Return ARIA and GGB were the top one-year prediction, from this Stocks Under $10 forecast and Brazilian Stocks forecast, with returns of 394.61% and 311.72%. Other notable packages with strong yearly returns came from this Dividend Stocks forecast, and Top 10 Stocks. The Brazilian forecast had a 100% accuracy, witheight out ten forecastachieving returns greater than 101%. High returns stocks during this time were VALE, PBR, and SID; with returns of 284.61%, 241.59%, and 262.50%, respectively.
3. Superb 90 Day Growth Reaches Almost 132% In 3 months, with a 100% prediction accuracy, this Fundamental Stocks forecast was the top performing 90 day forecast with 26.47% average and market premium of 18.06%. The AI-based algorithm had forecasted a surge in AMD which returned almost 61%. TGB had an excellent 3 month return of 131.67% from this Small Cap Stocks forecast. The forecast had as well superb returns from KEM and CWEI with 121.77% and 22.73%, accordingly. Other notable returns came from ARRY, FNMA, and HNR with 78.16%, 67.46%, and 53.66% from this Stocks Under $10 forecast.
4. Investors Double Returns In 30 Days The strong 30 day returns were led by this Biotech Stocks forecast with an overall average of 14.49% and PLX returning 110%. Other high performing packages were this Israeli Stocks forecast and Small Cap Stocks forecast with averages of 22.82% and 13.15%, respectively. ATTU, PERI, TARO had as well strong returns 41.86%, 31.68%, 15.44%.
5. Superb Week-Long Returns This 7 day Fundamental Stocks forecast had topped I Know First's weekly time horizon. The top performing stock was MATN with a high return 44.90%. CIG had as well a superb 7 day return of almost 21% from this Brazil Stocks forecast, which had a 100% accuracy level. Other notable returns came from this Pharma Stocks forecast with returns reaching 29.32% from PPHM.
6. Over 29% Return Predicted By AI Deep Learning Techniques In just 3 days, CYH had seen a rapid growth of 29.63% as accurately forecasted by I Know First's self-learning algorithm from this Fundamentals Stocks forecast. Other strong performing packages came from Tech Stocks forecast and Real Estate Stocks, with averages of 2.22% and 3.44%, respectively. HIMX, GEO, and CXW had as well excellent 3 day returns of 9.62%, 8.37%, and 6.90%, respectively.
7. Swing Trading Strategies Reach Over 76% In 1 Year I Know First's algorithmic indicators can be used to backtest various short term trading strategies. The top strategy had yielded up to a 62.2% alpha above the S&P500 Index, from January, 2016 till February 1st, 2017. Read the full trade report for a more detailed analysis with charts and graphs, depicting a high reward to risk payoff with low Betas and high Sharpe Ratios.
On December 21st, 2016, an I Know First analyst had written a bullish article, explaining the value in investing in AAPL shares. The article had complemented an earlier article written on May 24th, 2016. That article explained how Buffet's investment in Apple would payoff, and why Icahn made a mistake selling his shares. Both articles were written in accordance with I Know First's AI-based algorithmic prediction on AAPL shares. Since then, AAPL shares have risen by 18.64% and and 43.52%, respectively, to date.
An I Know analyst had written a bullish forecast on NVDA shares on June 22nd, 2016. The article examined NVDA's shift in developing AI-based GPU computing platforms, and this would help solidify its market leadership. The article was written in accordance with I Know first's self-learning algorithm. Since then, NVDA shares have more than doubled with a 113.33% rise, to date.
GOOGL shares have risen by 15%, since this article was written by an I Know First analyst on May 30th, 2016. The analyst explained how Alphabet's commercialization of their Android software for desktop usage would help the stock surge. The article had complimented I Know First's algorithmic prediction on GOOGL shares during the same period.
Following the development of Dr. Lipa Roitman's understanding of relying on the 5-day simple moving average as a secondary trigger for entry and exit, the I Know First R&D team has developed a complementary model to support his thesis. We tested the model from July 1st 2014 to June 30th 2015, a period of one year. Using the strategy stock investors made a return of 34%. The strategies annual deviation was 18.17% which results in a Sharpe ratio of 1.77. Similarly the strategy Interest Rate investors made a return of 40.11%. The strategies annual deviation was 20.33% which results in a Sharpe ratio of 1.87. With currencies we filter our to G10 pairs and apply a 10x leverage. Here the strategy worked particularly well resulting in a total return of 504%, annual standard deviation of 36.73% and Sharpe ration of 13.46.
You can find the full report and data & the combined hedge fund stats HERE.
Upgrade Notes: Introducing the new Algorithmic Strategy Interface
I Know First R&D team is happy to announce that we are now supporting a highly interactive user interface to support your strategy and automate processes. This guide will review some of the new features and how to use them.
Many of our subscribers read the article “I Know First Algorithm Performance Analysis (Part 2)” which discussed how to integrate algorithmic signals with market momentum to lower your risk and maximize your returns. Since then we have released various videos and articles discussing this strategy.
Many implemented it, however were a little deterred by the complexity of it, as it really does require you to follow the price of every recommendation on a daily basis. Our team has tediously been working to integrate a module into excel which would allow you to trade according to the 5-day simple moving average swing model with ease.