Stock Forecast Based On a Predictive Algorithm | I Know First |high alpha Archives - Stock Forecast Based On a Predictive Algorithm

Daily Stock Selection Based On a Self-Learning Algorithm Time Period: January 7^th, 2016 – September 30th, 2016
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Algorithmic Articles Algorithmic Performance

Press Release: Exclusive Look In I Know First’s Short Term Trading Strategies For Institutional Investors

October 27, 2016

Press Release

Press release: Tel Aviv, Israel, October 27th, 2016– FinTech company “I Know First” offers exclusive update on swing trading strategies utilizing both signal strengths and predictability indicators based on their state of the art algorithm.

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Press Releases

Stock Forecast: Daily Stock Selection Based On a Self-Learning Algorithm September 25th, 2016

September 27, 2016

Stock Forecast: Short-term Trading

Daily Stock Selection Based On a Self-Learning Algorithm

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Algorithmic Trading Strategy Review: Short Term Trading Strategy Offers Excellent Alpha Over the S&P 500 During the Month of July.

September 6, 2016

The article was written by David Shabotinsky, a Financial Analyst at I Know First, and enrolled at an undergraduate Finance program at the Interdisciplinary Center, Herzliya.

Algorithmic Trading Strategy Review:

I Know First, Ltd. is a financial technology company that provides daily investment forecasts based on an advanced, adaptable, self-learning algorithm. The company’s algorithm predicts over 3,000 securities (and growing) with capabilities to discover patterns in large sets of historical stock market data. Since the beginning of 2016, a new short-term strategy had been implemented, which focuses on optimization of the forecasts for up to one week. This article will review the highlights, specifically the performance of the model as well as of the daily stock selection processes utilizing the short-term signals for the most recent month of July in more detail. The full description and report on the respective strategies analyzing their statistics since the begin of the year can be found here.