Sebi has received many "strong comments" on its proposed norms for HFT including suggestions that it should focus on norms which would cater to India-specific requirements and not adopt practices from other parts of the world, he said.
Sinha was addressing a gathering at the CII Financial Market Summit here today.
Noting that suggestions have come for Sebi to have its own data, Sinha said, "Let me assure that some of the best technical brains are right now working analysing the trading data to find out what is relevant our markets and unique to our market".
"And so we will put in place checks and balances...It will happen," Sinha said.
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High frequency trading, also called algorithmic trading or 'algo' in market parlance refers to orders generated at a super-fast speed by use of advanced mathematical models that involve automated execution of trade, and it is mostly used by large institutional investors.
The increased use of HFT has raised concerns with regard to its impact on market quality, financial stability and regulatory framework.
Earlier this year, Sebi had come out with a discussion paper on tightening HFT norms.
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