Quantum Trading: Econophysics Can Help Predict Financial Markets

dr roitmanThis article was co-authored by Dr. Roitman, Co-Founder & CTO of I Know First Ltd. With over 35 years of research in AI and machine learning. Dr. Roitman earned a Ph.D  from the Weizmann Institute of Science.

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

Quantum Trading

  • How Econophysics has shaped to become an important field of study for financial markets and policy makers
  • The uncertainty principle and how its used to predict the financial markets, such as bear and bull markets
  • What is phase transition in physics and how can it be applied to the financial market
  • Real applications of Econophysics in finance and policy making today
  • I Know First's self-learning predictive algorithm and its application of phase transition
  • Real differentiated competitive advantages offered by I Know First's algorithmic solutions

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Applications of Artificial Intelligence: Exclusive Interview With I Know First Co-Founder Dr. Roitman on How AI Is Shaping The Future

Applications of Artificial Intelligence

Press release: Tel Aviv, Israel, October 6th, 2016– FinTech company “I Know First” co-founder Dr. Roitman had an exclusive interview on how the applications of Artificial Intelligence are shaping the world that we live in today and how businesses are adapting to these changes.  Exclusive Interview

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Press Release: I Know First Algorithm Successfully Predicted Rise In AAPL Stock

Press Release

Press release: Tel Aviv, Israel, September 22nd, 2016– FinTech company “I Know First” had correctly forecasted an exceptional return for Apple Inc, beginning from May 15th, 2016. Press Release 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, commodities, and currencies with capabilities to discover patterns in large sets of historical stock market data.

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