Buy Or Sell After Q2 Earnings Report On 26th Of April 2016

By I Know First Research of I Know First

Daily Market Forecast Based On a Predictive Algorithm • May 5, 2016 at 12:00 PM EDT

Apple released its Q2 earnings on April 26th, and the drop came in a lot more than the analysts were expecting.

Apple Stock Forecast

Apple released its Q2 earnings on April 26th, and the drop came in a lot more than the analysts were expecting. The company’s revenue dipped almost 13% whereas the high end of its revenue guidance for Q3 also came in 10% lower than the analysts’ estimate of 10%.

As a result, Apple’s shares plunged over 7% and I expect the weakness to continue in the short term. After the terrible earnings, I expect Apple’s shares to fall $90. In my opinion, investors should be patient and buy the stock when it is a little closer to $90.

Disclosure:

This article originally appeared on Iknowfirst.com, a financial services firm that utilizes an advanced self-learning algorithm to analyze, model and predict the stock market.

Co-Founder Dr. Lipa Roitman, a scientist, with over 20 years of experience created the market prediction system. The algorithm is based on artificial intelligence, machine learning and incorporates elements of artificial neural networks as well as genetic algorithms to model and predict the flow of money between 2,000 markets from 3-days to a year: stocks, ETF's, world indices, gold, currencies, interest rates, and commodities.

The algorithm outputs a predicted trend as a number, which in turn, is used by traders to identify when to enter and exit the market. While forecasts can be used for intra-day trading, the predictability tends to become stronger over longer time horizons such as the 1-month, 3-month, and 1-year forecasts.

I Know First supplies financial services, mainly through stock forecasts via their predictive algorithm. The algorithm incorporates a 15-year database and utilizes it to predict the flow of money across 2000 markets. The self-learning algorithm uses artificial intelligence, predictive models based on artificial neural networks, and genetic algorithms to predict money movements within various market.