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The Tata Quant Fund is an Artificial Intelligence (AI) and Machine Learning (ML) powered mutual fund scheme.
Tata Mutual Fund has launched the Tata Quant Fund- an Artificial Intelligence (AI) and Machine Learning (ML) powered mutual fund scheme. According to a press release from the fund house, the scheme employs a proprietary quant framework that combines multiple rule engines and predictive models to create investment portfolios.
The NFO closes for subscription on January 17. The minimum application amount required is Rs 5,000 and in multiples of Re 1 thereafter and additional investment of Rs 1,000 and in multiples of Re 1 thereafter.
The press release says that predictive engines use more than the past 20 years of market and macro-economic data to analyze relationships and patterns. These correlations along with prevailing market and macro-economic data are then used by the engines for making monthly predictions. The investment decision-making process of the fund is fully machine-driven and free of human judgment, said the fund house.
The machine learning predictive models also recalibrate and re-adjust at a fixed periodicity by using new and incremental data. This enables the models to factor in emerging patterns and relationships. These algorithms are developed and managed in-house by a dedicated team of data science specialists, the press release said.
“Tata Mutual Fund has developed intelligent machine-driven strategies keeping in mind the appetite of long-term equity investors. This framework crunches massive amounts of data, recognizes patterns and leverages the power of technology. The future of investing is in the use of quants and with us entering a new decade, we believe that the Indian market is now ready for tech-based investing,” said Sailesh Jain, Fund Manager, Tata Asset Management.
"Machines have massive computational power needed to process very large data sets, spot patterns, and correlations, make decisions faster, objectively and without human biases. In the current world, computers are powerful enough to solve problems, a lot of data is available and we strive to use this data in combination with algorithms to its best," said Prathit Bhobe, MD & CEO, Tata Asset Management.
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