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

April 29, 2017

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

Algorithmic Performance

Quick Win by the Algorithm: AMD Steps Up Their Game

March 9, 2017

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quick win
Algorithmic Performance

Deep Learning Stock Prediction: Artificial Intelligence Expanding Applications

December 27, 2016
  2016-09-15_18-55-38  The article was written by Jacob Saphir, a Financial Analyst at I Know First.

Deep Learning Stock Prediction

Summary:
  • Artificial Intelligence
  • Deep Learning
  • I Know First Application
  • NVIDIA Stock Forecast and Result

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Algorithmic Trading: Combines Market Noise Trading And Trend Trading

December 8, 2016
taliTali Soroker is a Financial Analyst at I Know First.

algorithmic trading

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Self-Learning Algorithm: AI Advances Ushering in a New Era

October 20, 2016
taliTali Soroker is a Financial Analyst at I Know First.

self-learning algorithm

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Algorithmic Trading: I Know First Strategy Tutorial

September 15, 2016
This video provides you with a detailed explanation on how to apply Dr. Roitman trading model. You can find all related articles on our website:
Video Tutorial Videos

Day Trading Strategy: An In-depth Analysis of Realistic Back-Tests

August 15, 2016
Daniel Tal is a Quantitative Analyst at I Know First. He is currently a candidate for his bachelor's degree in Computer Science and Business Management at Columbia University.

  • Implementation of IKF strategy in intraday trading environment
  • Quantopian slippage and commissions models used to simulate real-time trading
  • Data and statistical Analysis of the methods used to gain day trading returns
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