How Deep Learning Works In The Stock Market And How to Utilize It for Investment Decisions

    The article was written by Yutian Fang, a Financial Analyst at I Know First and Master of Science in Finance candidate at Brandeis International Business School  

Summary

  • To make informed investment is always what investors are concerned about
  • Solutions saw their limitations and improvements as techniques developed
  • What Deep Learning can do -Deep Networks for Unsupervised or Generative Learning -Deep Networks for Supervised Learning -Hybrid Deep Networks
  • How I Know First utilized Deep Learning for investment decisions

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I Know First Live Forecast Evaluation Report For MSCI Stock Universe – Significantly Outperforms MSCI-ACWI Index And ACWI ETF Benchmarks

Executive Summary

InIn this live forecast evaluation report we will examine the performance of the forecasts generated by the I Know First AI Algorithm for the MSCI stock universe and sent to our customers on a daily basis.Our analysis covers time period from January 2, 2018 to September 30, 2018. We will start with an introduction to our stock picking and benchmarking methods and then apply it to the MSCI stock universe of the MSCI index and compare it to ACWI (iShares MSCI ACWI ETF by Blackrock) performance over the same period. This report continues our investigation of the algorithm's performance for MSCI stock universe published on September 23, 2018.

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Artificial Intelligence Stock Market: Algorithmic Analysis of Humans and Their Behavior

taliTali Soroker is a Financial Analyst at I Know First.
  • Algorithms are being used every day to analyze human behavior and decision-making
  • Companies use these algorithms to reach relevant customers and expand their reach
  • AI could prove to be beneficial to employers seeking a diverse and successful company
  • Using Algorithms to analyze human thought process can help investors make profitable stock trades
  • Companies are using AI and algorithmic systems to analyze human behavior in the stock market to make accurate forecasts of stock trends

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Nvidia Stock Forecast: Why You Should Add More Nvidia Shares

motek 1The article was written by Motek Moyen Research Seeking Alpha’s #1 Writer on Long Ideas and #2 in Technology  – Senior Analyst at I Know First

Walmart Share Price Forecast

Summary:
  • Nvidia’s Q1 FY2019 ER was outstanding. It beat Wall Street’s EPS and revenue estimates. The EPS of $2.05 beats by $0.39.
  • The Q1 FY 2019 of $3.21 billion (+65.5% year-over-year) beats by $310 million.
  • In spite of this excellent earnings report, NVDA still dipped by more than 2.5%. This cynical reaction is uncalled for.
  • My takeaway is that long-term growth investors should add more NVDA. This stock has more upside potential based on it one-year algorithmic market trend forecast.
  • The company’s  runaway leadership in datacenter GPU accelerators and self-driving car processors makes Nvidia a guaranteed long-term winner.

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Are You Ready To Trust A Robo Advisor With Your Money?

taliTali Soroker is a Financial Analyst at I Know First.
  • Do robo advisors help or hurt investors?
  • Basic benefits and drawbacks of using a robo advisor
  • Obstacles that robo advisors need to overcome
  • How I Know First’s robo advisor will best serve clients

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Algorithmic Trading Strategies For European Stocks: Returns Up to 193%

In the following article we analyze a series of trading strategies directly adoptable by I Know First clients and which have generated returns up to 193% over the period going from August 2015 to April 2017. The strategies follow the algorithm’s signals and invest daily in the strongest ones from the package “European Stocks” hence resulting in a portfolio continuously in line with the program’s recommendations and with the evolving market.

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Algorithmic trading strategies

I Know First Analyst Included in Panel of Experts on Big Data

A short piece from one of I Know First’s financial analysts was recently included in a publication on NGData.com about big data trends in banking. Twenty financial services data contributed to the article each touching on unique trends and future uses of big data in banking. i know first

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