ADBE Stock Predictions: I Know First Stock Forecasts Evaluation Report

Adobe Stock Predictions Executive Summary

In this forecast evaluation report, we examine the performance of the stock market predictions generated by the I Know First AI Algorithm for ADBE stock with time horizons ranging from 3 days to 3 months, which were delivered daily to our clients. Our analysis covers the time period from 1 January 2019 to 13 August 2019. Below, we present our key takeaways for checking hit ratios of our ADBE predictions in the stock market.

Highlights:

  • 86% Hit Ratio for 3-months time period for ADBE predictions allowing our clients to be able to invest their money with significant less risk
  • Predictions consistently hit above 52% accuracy despite volatile market conditions

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Stock Market Predictions: I Know First S&P 500 & Nasdaq Evaluation Report- Accuracy Up To 97%

Stock Market Predictions Highlights:

  • 97% Hit Ratio for the 3-Months time period of Nasdaq tracking ETF (QQQ) predictions allow our clients to be able to invest their money with significantly less risk
  • 87% Hit Ratio for the 3-Months time horizon of S&P 500 following ETF (SPY) predictions nearly matches the success of impeccable accuracy of the algorithm’s Nasdaq forecasts
  • Predictions consistently above 60% accurate despite very volatile times in the world economy over the last half-year
stock market predictions

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AAPL Stock Predictions: I Know First Evaluation Report for Apple Inc Stock Forecasts

Highlights For AAPL Stock Predictions:

  • 96% Hit Ratio for 3-months time period of AAPL stock predictions allow our clients to be able to invest their money with close to zero risk
  • AAPL stock predictions have consistently been above 65% accuracy in times of volatility

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I Know First Evaluation Report for UK Stocks Package

Executive Summary

In this forecast evaluation report, we will examine the performance of the forecasts generated by the I Know First AI Algorithm for short-term and long-term stocks from the London Stock Exchange which is sent to our customers on a daily basis. Our analysis covers the time period from 1 January 2019 to 30 June 2019. We will start with an introduction to our asset picking and benchmarking methods and then apply it to the UK stock universe as covered by the I Know First’s “UK Stocks” package. We will then compare returns based on our algorithm with the benchmark performance over the same period. 

UK Stocks Highlights:

  • The best returns were obtained in the 3 months time horizon, with the best performance being a return of 4.65% for the top 10 predictability and signal filtered assets during this time-horizon.
  • The top 5 predictability and signal filtered assets beat the benchmark in all time horizons, with the best outperformance being for the 3 day time horizon, where the top 5 assets beat the benchmark by over 265%.

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I Know First Evaluation Report for Short-Term Currencies – July

Executive Summary

In this forecast evaluation report, we will examine the performance of the forecasts generated by the I Know First AI Algorithm for the currency market with short term time horizons ranging from 1 to 6 days, which were delivered daily to our institutional clients. Our analysis covers the time period from 28 March 2019 to 30 June 2019. Below, we present our key takeaways from applying signal and volatility filters to pick the best performing currency pairs:

Currencies

Currencies Highlights:

  • Top 5 currency pairs without volatility adjusted had better returns on the 1-, 2- and 3-days’ time horizons, providing the highest return of 0.22% on the 1 day’ horizon.
  • Top 5 currency pairs with volatility adjusted had better returns on the 4-, 5- and 6- days’ periods providing the highest average return on the 4 days’ time horizon of 0.18%.
  • Top 10 and Top 5 currency pairs outperformed the benchmark on all time horizons with a significant difference.

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I Know First Evaluation Report For Bitcoin Forecasting Performance

Executive Summary

In this forecast evaluation report, we will examine the performance of the forecasts generated by the I Know First AI Algorithm for Bitcoin currency pairs with time horizons ranging from 3 days to 3 months, which were delivered daily to our clients. Our analysis covers the time period from 1 January 2019 to 25 June 2019. Below, we present our key takeaways from applying our algorithm to determine the predicted direction in the given time horizon for Bitcoin currency pairs:

Bitcoin Currency Pairs Highlights:

  • The best returns were obtained in the 1-month and 3-months time horizons, providing an average return of 77.68% in the 3-months time horizon.
  • The best hit ratios were similarly obtained for the 1-month and 3-months time horizons, with the best hit ratio being 93% for the 3-months time horizon.

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I Know First Evaluation Report for Short-Term Currencies – June

Executive Summary

In this forecast evaluation report, we will examine the performance of the forecasts generated by the I Know First AI Algorithm for the currency market with short term time horizons ranging from 1 to 6 days, which were delivered daily to our institutional clients. Our analysis covers the time period from 28 March 2019 to 9 June 2019. Below, we present our key takeaways from applying signal and volatility filters to pick the best performing currency pairs:

Currencies Highlights:

  • Top 5 currency pairs without volatility adjusted had better returns in the 1- and 2-day time horizons, providing an average return of 0.19% in the 1 day horizon which outperformed the benchmark by 1800%.
  • Top 5 currency pairs with volatility adjusted outperformed the benchmark in all time horizons, providing the highest return of 0.19% in 6 days.

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I Know First Live Forecast Evaluation Report For MSCI EMU Stock Universe – Significantly Beating The Benchmark

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 the MSCI EMU Index. 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 1st, 2018.

MSCI EMU Stock Market Universe Highlights:

  • Signal indicator filter applied to Top 30 most predictable stocks provides the highest return of 3.71% for Top 5 stocks on 3-months’ investment horizon
  • There is a clear increasing trend for returns improvement with the time horizon increase – the return for all stocks beat the benchmark
  • The Top 5 stocks on 3-month’s investment horizon significantly out-perform the Benchmark by 5.75%

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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