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

Summary:
  • 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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Arbitrage Trading: How Hedge Funds Should Use AI Based Algorithms For Arbitrage Trading

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.

Arbitrage Trading

All things excellent are as difficult as they are rare.”-Benjamin Graham, The Intelligent Investor Free lunch, or riskless profit. The idea seems theoretically impossible, as any intro economics course will explain that free lunch is impossible. This article will come to explain; why seemingly riskless strategies should incorporate AI based algorithms. Summary:
  • Arbitrage opportunities are hard to locate but knowing which types exist can help investors watch for them
  • Hedge Funds today too many errors for the high costs that accompany them
  • I Know First Algorithm’s competitive advantages and usage in the market can subsitute/assist hedge funds
  • Barrier of entry for algorithmic trading firms

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Machine Learning Stock Market: Business Strategy & Machine Learning in the Financial Industry

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

Machine Learning Finance

Summary
  • Background behind Machine Learning and Deep Learning
  • Strategic adaption of AI and Machine Learning in a business environment
  • Why financial firms need Deep Learning techniques to remain competitive
  • Finance firm's adoption of GPUs into operational activities

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Deep Learning Finance: Revolutionizing The Market Today

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

Deep Learning Finance

Summary
  • How Deep Learning developed from AI
  • The evolution of Deep Learning in the market
  • How the finance sector has begun to further take advantage of Deep learning
  • I Know First implementation of Deep Learning to better forecast financial markets

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Quant Hedge Fund: Why Hedge Funds Should Adapt AI Technology To Continue

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.

Quant Hedge Fund

The punches you miss are the ones that wear you out”. —Boxing trainer Angelo Dundee -The Intelligent Investor, by Benjamin Graham. Active Investors have over the past years been experiencing large losses, as a result of volatile markets and recent market bubbles. The losses result in human error, that greatly hurts returns. This article will explain how hedge funds and investors alike, should begin to utilize machine-learning AI algorithms in their trading strategies. Summary:
  • Background of Hedge Funds and their role in the market
  • Hedge fund and investor issues and how it affects the financial world today
  • Development of AI based algorithms and their advantages
  • I Know First Algorithm’s competitive advantages and usage in the market

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Deep Learning Finance: Artificial Neural Networks, Deep Learning and Applications of Deep Learning in Finance

taliTali Soroker is a Financial Analyst at I Know First. She holds a B.S. Mathematics from Northeastern University

Deep Learning Finance

Summary:
  • Artificial Neural Networks Overview
  • ANNs Vs. Conventional Computing
  • Structure and Backpropagation
  • Deep Learning
  • Applications in Finance and Other Areas

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Tesla Stock Forecast: Multiple Tailwinds Can Continue to Propel Stock Further

The article was written by David Shabotinsky, a Financial Analyst at I Know First, and who graduated from the Interdisciplinary Center, Herzliya, with a bachelor in business administration.

Tesla Stock Forecast

“When Henry Ford made cheap, reliable cars, people said, ‘Nah, what’s wrong with a horse?’ That was a huge bet he made, and it worked.”

-Elon Musk, CEO of Tesla Inc.

In 2018, Tesla is expected to finally deliver its affordable and innovative technology to consumers, and continue to grow as an energy storage and solution company. TSLA investors large risk may finally pay off

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