Tag: Indian Stocks

I Know First Live Forecast Evaluation Report For Indian Stock Market – Sustainable Algorithm’s Out-performance Over Benchmark and Nifty 200 Index

October 10, 2018

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 Indian stock market and sent to our customers on a daily basis. Our analysis covers time period from January 3, 2018 to September 28, 2018.We will start with an introduction to our stock picking and benchmarking methods and then apply it to the stock universe of the Nifty 200 index as well as all of the stocks covered by us in the “Indian Stocks” Package. This evaluation is part of our continuous studies of live I Know First’s AI predictive algorithm performance.

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I Know First Selected As India FinTech Awards Finalist

August 30, 2018

I Know First Selected As India FinTech Awards Finalist

After a meticulous selection process from hundreds of companies, I Know First was selected as a shortlist finalist to demo and compete in the India FinTech Awards (IFTA). The India FinTech Awards (IFTA) aim to promote innovation and business excellence in the FinTech sector. IFTA is a prestigious recognition in the FinTech sector, with numerous startups competing for the award. Only 20 companies from all around the world have been shortlisted for

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Launch of I Know First’s AI-Predictive System for the Indian Stock Market – Beating the NSE Benchmark

June 26, 2018

As of May 15th, 2018, I Know First finished the implementation and the training period of its AI-based ranking and forecasting model for the main equities listed on the National Stock Exchange (NSE) of India, specifically a selection of 366 equally-weighted stocks. On this date, I Know first published the first Indian stock forecast for the subscribed investors in the local Indian market, as the timing of the data feed and the forecast generation was adjusted to the respective time zone.

According to our forecast evaluation results, the predictions generated returns greatly surpassing