I Know First Presents For Singaporean NTU Delegation, Hosted By Israeli Export Institute

On May 23, I Know First representatives spearheaded a successful presentation for a NTU delegation from the Nanyang Technological University (NTU) in Singapore, comprised of NTU alumni who are now leaders in business and finance. The much anticipated visit, hosted jointly by the Israeli Export Institute and the Israeli Economic Mission to Singapore, supported diverse interests but had an unmistakable focus on fintech, as evidenced by the attendance of members from three banks.

NTU delegation
(Ben Rubin, Head of Advisory Services at I Know First, May 23, 2019)

I Know First successfully addressed the delegation’s interests in fintech by delivering a presentation titled “Investment

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I Know First Live Evaluation Report For The Singaporean Stock Universe: Top 5 Stock Signals Return 2.30% in A 3-Month Investment Horizon

Executive Summary

The purpose of this report is to present the results of live forecast performance evaluation for I Know First AI Algorithm, specifically for Singaporean stock market. The following results were observed when signal and predictability filters were applied in order to pick the best performing stocks out of the most predictable ones. The period under evaluation is from January 1st,2018 to November 30th, 2018. The corresponding returns distribution of stock filters (stocks subsets) for both Singaporean stock market universe and the main findings are below:

Singaporean Stock Market Universe Highlights:

  • Signal indicator filter applied to Top 30 stocks by predictability provides the highest return of 2.30% for a 3-months’ investment horizon at Top 5 signals level
  • There is a clear increasing trend for returns’ improvement with the time horizon increase
  • Top 5 stocks by signal significantly out-perform the benchmark, in every time-horizon

The above results were obtained based on forecasts’ evaluation over the specific time period using  consecutive filtering approach – by predictability, then by signal, to give general overview of the forecasting capabilities of the algorithm for specific stock universe.

Read The Evaluation Report

I Know First Live Evaluation Report For The Singaporean Stock Universe: Top 5 Out-perform Bechmark by 210%

Executive Summary

The purpose of this report is to present the results of live forecast performance evaluation for I Know First AI Algorithm, specifically for Singaporean stock market. The following results were observed when signal and predictability filters were applied in order to pick the best performing stocks out of the most predictable ones. The period under evaluation is from January 3rd,2018 to September 30th, 2018. The corresponding returns distribution of stock filters (stocks subsets) for both Singaporean stock market universe and the main findings are below:

Singaporean Stock Market Universe Highlights:

  • Signal indicator filter applied to Top 30 most predictable stocks provides the highest return of 4.66% for Top 5 stocks on 3-months’ investment horizon
  • There is a clear increasing trend for returns improvement with the time horizon increase – the delta in returns from 1 month to 3 months is more than 350% for Top 5 stocks
  • Top 5 stocks significantly out-perform the benchmark by over 210%

The above results were obtained based on forecasts’ evaluation over the specific time period using  consecutive filtering approach – by predictability, then by signal, to give general overview of the forecasting capabilities of the algorithm for specific stock universe.

Read The Evaluation Report

I Know First To Be Featured At 2018 Singapore FinTech Festival

I Know First To Be Featured At 2018 Singapore FinTech Festival
Singapore fintech festival

I Know First is grateful and honored to be on the road as a representative of the Israeli FinTech Delegation at the Singapore FinTech Expo, which takes place November 12-14. I Know First will make a presentation at the expo and explain about the state of the art algorithm, which through the power of artifice intelligence, allows investors to make smart investments. The 2018 edition of Singapore FinTech Festival will see more than 400 exhibiting companies from over 100 countries with 16 country pavilions – Abu Dhabi, Canada, Hong Kong, India, Ireland,Israel, Japan, Kazakhstan, Korea, Latin America, New Zealand, Philippines, Poland, Switzerland, United Kingdom and United States.

Singapore FinTech Festival is expected to welcome international participants across the five-day festival with the vast majority being C-suite, Heads-of-Departments, key decision makers, key influencers and decision makers. The Festival will be graced by giants of the FinTech world, with luminaries such as Christine Lagarde (Managing Director of the International Monetary Fund) and Narendra Modi (Prime Minister of India) to name a few.

More updates will be posted as the event is underway!…

I Know First Live Forecast Evaluation Report For Singaporean Stock Universe – Significantly Beating Benchmarks On All Horizons

Executive Summary

In this live forecast evaluation report we will examine the performance of the forecasts generated by the I Know First AI Algorithm for the Singaporean stock universe and sent to our customers on a daily basis. Our analysis covers time period from January 3, 2018 to August 24, 2018.We will start with an introduction to our stock picking and benchmarking methods and then apply it to the Singaporean stock universe.

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Algorithmic Trading: Asian Markets, Big Banks Out, High Frequency Trading In

BlairThe article was written by Blair Goldenberg, a Financial Analyst at I Know First, and enrolled in a Masters of Finance at Colorado State University.

Asian Markets

Summary

  • Background
  • High Frequency Trading in Asia
  • Asian Finance Employment
  • Research in Japan
  • Risks of High Frequency Trading

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Press release: “Above Intelligent” interview with I Know First CEO. Deep Learning In Finance Summit

Press Release

Press Release:  Tel Aviv, Israel, August 28th, 2017 – I Know First was featured in the "Above Intelligent" publication several days prior Deep Learning Finance Summit in Apr. 2017

deep learning finance summit

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