Stay Ahead Of The Curve: AI Weekly

USA Today Press Release: I Know First's AI-Driven Algorithm Achieves 88% Accuracy I Know First, the AI-fintech company that specializes in the field of algorithmic stock predictions and global markets forecasting, issued an update to stock market forecast evaluation for S&P 500 (^GSPC) and NASDAQ (^IXIC) indexes based on the year-to-date data. Specifically, the stock market predictions covered period from January 1st to October 9th, 2019. The evaluation also covers predictions generated for relevant ETFs that follow the above-mentioned indexes namely, SPY and QQQ.



The major outcome of this research is that the hit ratios for SPY and QQQ predictions reach as high as 83% and 88%, respectively. This evaluation release comes along with USA Today report about I Know First being the startup nation company that provides trade ideas generated by AI algorithm and uses it to build stock portfolios that consistently beat market benchmarks. Read more. Growing Rich 2.0: AI-Based Tools for Wealth Managers Wealth management is a sphere of financial services that is primarily aimed at high worth individuals. It incorporates a broad variety of services, including, but not limited to, investment management, financial planning, retirement planning and even tax services. The key here is to figure out what your customer wants and utilize any services necessary to deliver a comprehensive strategy that would achieve this goal. It is an all-encompassing approach that views the customer’s financial life from a holistic perspective instead of only taking a few aspects of it. Such services are often offered by banks.



Facing a world where the use of high-tech financial services is on the rise and new and unexpected competition from robo-advisors, AI-based services that are just as eager to help people get richer – but instead of humans, they would put an AI behind the wheel. AI-based tools for asset managers will be the next big game changer for the industry. Read more. MarketWatch Press Release: I Know First is AI-Driven Bulwark Against Market Unpredictability The rise of machine learning has been noted across businesses and industries, and the investment community is no exception. In fact, one of the most difficult, yet most alluring challenges for machine learning in the financial sector is predicting stock markets with the efficiency that leaves the conventional investment strategies behind. Some argue that this is not possible, at least not in the nearest future. The market data fed to the AIs is nonstationary, evolving on the go, there is more noise than signal in it, and there are dozens of details and intricacies that the model has to account for to generate profits for the investors. Now, these are all good and solid points, but while markets may indeed be hard to predict, here at I Know First, AI stock market predictions company, we believe that a predictive AI that is accurate enough in its forecasts to deliver consistent alpha is in fact not a work of fiction. With some advanced statistical programming and mathematics, it is quite possible to train a model that will not only beat the market, but also adapts to the new market conditions whenever the tide turns.



Read more. Quantitative Trading: Has Quant Trading Become Outdated?

Quantitative trading is trading based on quantitative analysis, which relies on mathematical computations. It also relies on number crunching, which identifies trading prospects. Financial institutions and hedge funds generally use this type of trading. These transactions are usually large and involve purchasing and selling hundreds of thousands of shares and other securities. However, this type of trading is becoming more popular amongst individual investors. Head of Equity and Quantitative Strategy at the Bank of America, Savita Subramanian, says there are managed future funds that use faster-acting algorithms to see trends in asset prices and volatility as trading signals. According to BarclayHedge, these have grown to represent about 10% of the hedge fund universe. They have more than $250 billion in assets under management. At the center of this is that there was once a reliable strategy, which is destroyed when enough traders discover its potency. In quant language the alpha is arbitraged away, it ‘decays’.



Read more. ATVI Stock Prediction: Why Activision Blizzard Has So Much Potential in Mobile Games Activision Blizzard’s recent rally is attributed to the big debut of Call of Duty: Mobile. Launched only five days ago, Call of Duty: Mobile, has achieved more than 35 million downloads. This mobile game also earned an estimated $2 million after it breached 20 million downloads three days ago. My own forecast is that Call of Duty: Mobile will post 100 million downloads within one month of its release. I guesstimate that it can also achieve $30 million sales from in-app purchases during its first month. Activision’s 2018 annual net income was $1.813 billion. Call of Duty: Mobile therefore has the potential to add 20% more to Activision’s annual net profit. A 20% rise in annual net income could likely translate to 10% to 15% higher price for ATVI. My 90-day price target for ATVI therefore is $62. This price target is higher than the average 12-month price target of $59.13 from TipRanks. Read more.



Want to learn more? I Know First: Introducing the New Algorithmic Strategy Interface

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