In the News: Yaron Golgher Talks on The Future of Investments and Trading at FinTech Junction 2019

I Know First Co-Founder and CEO, Yaron Golgher, discussed the future of money, trading and investing, in a panel discussion during the Fintech Junction 2019 conference held in Berlin last week.

During the panel, Yaron briefly presented I Know First’s algorithm and explained how the company utilizes AI and Deep Learning techniques to generate its price forecast for different assets. Alongside Yaron, the panel included Ziv Adato, COO of Levent, and Nicolas Borsotto from Archgriffin Consulting.

Among the various issues discussed in the panel was the increasing adoption of AI and automated trading means among main players, the main clients of AI technology in the financial sector, and different types of data used to feed deep learning and AI-based algorithms. The panel members also discussed how AI progress and its adoption trends will develop over time and how those might affect the future of investing and trading.

FinTech Junction is an Israeli conference bringing together leading minds in the finance and technology worlds. This year conference took place in Berlin and included 3 co-located events: FinTech Junction, Future of AI and Chatbot summit. I Know first and Yaron Golgher also participated in the first Fintech Junction conference which took place in Tel Aviv in 2017.

FinTech Junction 2019

Co-Founder and CEO of I Know First Ltd., Yaron Golgher has over 15 years of experience leading projects based on forecasting algorithms and predictive analytics, as well as developing quantitative trading strategies, algorithmic trading applications, and big-data solutions for hedge funds and institutional clients.

FinTech Junction 2019

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.