Evaluation Report For The Currencies Market

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 Currency market which were delivered to our customers on a daily basis. Our analysis covers the time period from January 1, 2018 – November 31, 2018. We present below the key observations when signal and predictability filters were applied in order to pick the best performing currency pairs out of the most predictable ones:    

Currencies Universe Highlights:

  • The Top 10 most predictable currency pairs on 3-months’ investment horizon provided the highest return of 2.02% and beat the benchmark by 0.11%.
  • We monitor an improving return with the increase of the forecast time horizon¬- the difference in return from 1 month to 3 months for the Top 10 currency pairs is 1.42%.
  • Top 10 currency pairs outperform the benchmark, whereas Top 20 currency pairs outperform the benchmark in 3 out of 5 cases.

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.

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Portfolio Strategies & Asset Allocation – 86.43% Expected Annual Return Using Algorithmic Allocation

 Summary
  • How to use an existing algorithmic signals system to allocate equity systematically.logo1
  • Building a sample portfolio based on stocks, interest rates and currencies.
  • Actual portfolio back test and returns.
Introduction:  Allocating your portfolio in a way that maximizes returns and minimizes risk can be tricky. In order to reduce volatility, high yield strategies are often ignored. In theory, if you were able to pick one stock a day you were most certain will go up - in order to maximize expected returns you would only invest in that stock. The downside of course is also maximizing your risk exposure.In this article I will go through a method of allocating funds using the I Know First artificial intelligence system. This will link between algorithmic signals, and actual market buy/sell decisions. Before you continue reading you should decide if any of these points don’t suit you well. The main advantage of this portfolio allocation is that it is a day trading model which is 100% systematic. Both the investment buy/sell decisions and allocation are based off the signal data; allowing any investor the peace of mind in separating emotion from trade decisions.

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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.

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I Know First Live forecast evaluation: Extensive Portfolio Evaluation Using Stock Picking Based On S&P 500 Universe

Top S&P 500 Stocks

S&P 500 Evaluation Report

In this report we will evaluate the performance of the forecasts generated by the I Know First AI Algorithm for the S&P 500 universe sent to our customers on a daily basis. We will start with an introduction to our stock picking and benchmarking methods and then apply it to the stocks in the S&P500 universe.

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Guide to Automated Trading Using Quant Platforms and I Know First Algorithmic signals: 48% Annual Return

This guide will cover how to begin designing a strategy using an open source quant platform (QuantConnect), which you can then use to design your algorithm and eventually execute it in live paper trading or real money trading in just a click. I will also share a large data set of historical picks based on the I Know first “Top 10 Stock Picks + S&P500” which you can use free of charge for back testing. Automated Trading

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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