Investment Research: AI-based forecasting system as an integrated DSS


Using I Know First AI-based forecasting system as an integrated DSS within a client’s investment or advisory process – case study with a bank


Key results

Applying screens derived from the I Know First AI-based forecasting system to recommendations list of a very well-known investment research company (=: “InvResCo’”) results in improved trade and portfolio performances:

AI-based Systematic Trading Strategies (S&P 500 Stocks) – Suitable For Mutual Funds And Other Investment Vehicles


We present recent developments on the utilization of I Know First’s AI-based forecasting signals for less frequent systematic trading

These are highly performing and scalable strategies, average holding period of 4.5 to 30 days, that are suitable for mutual fund products and other investment vehicles

Stock Predictions: Daily Stock Selection Based On AI Algorithm for January 7th, 2016 – February 1st, 2017

Stock Predictions: Short-term Trading

Daily Stock Selection Based On a Self-Learning Algorithm

Stock PredictionsTime Period: January 7th, 2016 – February 1st, 2017 for stock forecasts 

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I Know First Releases Five New Short-Term Trading Strategies to Beat The Market: (Press Release 8.30)

Tel Aviv, Israel, August 30th, 2016– FinTech company “I Know First” developed a short-term algorithm to predict financial markets with up to 44.96% return in the last seven months.

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.Press Release

Stock Predictions: Daily Stock Selection Based On a Self-Learning Algorithm January-November 29th, 2016

Stock Predictions: Short-term Trading

Daily Stock Selection Based On a Self-Learning Algorithmscreen-shot-2016-12-08-at-4-57-16-pmTime Period: January 7th, 2016 – November 29th, 2016 for stock predictions 

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