After a meticulous selection process from over 500 companies, I Know First was selected as a shortlist finalist to demo and compete in the India FinTech Awards (IFTA) for the second year in a row. 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 the biggest FinTech demo event in India. The I Know First demo will take place on November 29 in Mumbai, India at the hub of the Indian stock market: the Bombay Stock Exchange. At the demo, I Know First will be able to inform a well-versed crowd of investors, entrepreneurs, bankers, and corporate leaders about our unique self-learning algorithm.

The India FinTech Awards is an initiative of the India Fintech Forum to identify and celebrate significant innovations in Fintech. The India FinTech Forum seeks to encourage collaboration and exploration across financial technology environment.

Once all 20 selected companies have presented their demos at the prestigious event, one will be chosen to become the 2019 Fintech Startup of the year. The past winners of the India FinTech Awards include companies like ZestMoney and Capital Float.

We are proud to participate as finalists in the India FinTech Awards for the second year in a row. In the 2018 IFTA, Ben Rubin, I Know First’s Head of Advisory, demonstrated to attendees how the I Know First heat-map works and how the product works for private clients and institutional clients and the different strategies available to both private and institutional clients. Ben also highlighted the astonishing results I Know First has achieved 3 years prior to the IFTA 2018. Following this demonstration was a Q&A session where Ben pointed out that I Know First has specific heat ratios for the Indian market.

Read more about I Know First’s participation in IFTA 2018 here.

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I Know First, Ltd. is a financial technology company that provides daily investment forecasts based on an advanced, self-learning algorithm. Thus, the company’s algorithm predicts over 10,500 securities (and growing). Thus, it has capabilities to discover patterns in large sets of historical stock market data.

The underlying technology of the algorithm based itself on Artificial Intelligence. It also based itself on machine learning and incorporating elements of artificial neural networks and genetic algorithms. Moreover, the algorithm generates daily market predictions for stocks, commodities, ETF’s, interest rates, currencies, and world indices for the short, medium and long-term time horizons.