Hong Kong Fintech Week 2020 – I Know First Selected as Semi-finalist For the WealthTech Vertical

I Know First has been recognized as a Semi Finalist for the Capital Markets vertical of the Hong Kong Fintech Week Global Fast Track Pitching Competition! This year I Know First Team participates in Fast Track Pitching Competition which is aiming at connecting and presenting innovative solutions to executives of the largest financial institutions in Hong Kong. This is an incredible opportunity to work with Corporate Champions in Hong Kong and Asia.
2020 HK FinTech week will take place from November 2nd to November 6th, featuring around 200 speakers from all over the world focusing on the FinTech industry.
I Know First will be demonstrating how artificial intelligence and machine learning are combined in order to generate accurate stock market forecasts. I Know First has been a finalist in 2018, therefore we are going to compete for a spot in the finals this year.
In 2018, I Know First participated in a Pitch Competition where the company presented I Know First’s Daily Market Forecasts and emphasized on how the company works, demonstrating the company’s various packages including the By-Country Hong Kong Package that was just released back then, and consistently surpasses the market. In addition, I Know First CEO Yaron Golgher was one of the keynote speakers in 2018.
Follow us on Hong Kong Fintech Week:
Facebook: I Know First: Daily Market Forecast
Twitter: I Know First
Instagram: I Know First
I Know First, Ltd. is a financial technology company that predicts over 10,500 securities over 50 markets across the world. Thus, it has capabilities to discover patterns in large sets of historical stock market data.
The underlying technology of the algorithm based itself on Artificial Intelligence. It also based itself on machine learning and incorporating elements of artificial neural networks and genetic algorithms. Moreover, the algorithm generates daily market predictions for stocks, commodities, ETF’s, interest rates, currencies, and world indices for the short, medium and long-term time horizons.