Finansys

SEBI Registration No: INA000015950

Our Multi-Factor Dynamic Quantitative Algorithm (QMIM) aims to build long-term wealth for clients over 5-10 years, focusing on stocks with strong momentum and other key factors from the NSE 750 universe. This dynamic strategy protects capital during downturns with effective risk management. The portfolio, limited to 10 stocks, is rebalanced quarterly and may hold cash equivalents like liquid bees when necessary. We recommend allocating 10-20% of your total portfolio to this algorithm for potential significant returns and balanced risk management.

Factor Investing
Momentum
+1 more strategy
Quantitative

Finansys

SEBI reg. No: INA000015950

Our Multi-Factor Dynamic Quantitative Algorithm (QMIM) aims to build long-term wealth for clients over 5-10 years, focusing on stocks with strong momentum and other key factors from the NSE 750 universe. This dynamic strategy protects capital during downturns with effective risk management. The portfolio, limited to 10 stocks, is rebalanced quarterly and may hold cash equivalents like liquid bees when necessary. We recommend allocating 10-20% of your total portfolio to this algorithm for potential significant returns and balanced risk management.

Factor Investing
Momentum
+1 more
Quantitative

Managed by

Sankalp Krishnan

Sankalp Krishnan

7+ years experience

Sankalp is an accomplished Advisor with a Bachelor of Engineering (BE) degree in Computer Science from Mumbai University and a Master of Science (MS) degree in Financial Engineering from the University of Illinois at Urbana-Champaign, USA.

With over 7 years of experience in Quantitative Trading, Portfolio, and Risk Management, Sankalp has honed his expertise in these fields. He has spent the last four years as a consultant for a proprietary trading firm based in New York, where his technological proficiency has been crucial in managing risk and navigating through volatile markets.

Sankalp's proficiency extends to developing automated trading strategies based on back-testing frameworks, focusing on intraday long/short positions in US equities and futures. He is responsible for managing a portfolio of strategies within a designated account, ensuring optimal performance and risk management.

Sankalp is an accomplished Advisor with a Bachelor of Engineering (BE) degree in Computer Science from Mumbai University and a Master of Science (MS) degree in Financial Engineering from the University of Illinois at Urbana-Champaign, USA.

With over 7 years of experience in Quantitative Trading, Portfolio, and Risk Management, Sankalp has honed his expertise in these fields. He has spent the last four years as a consultant for a proprietary trading firm based in New York, where his technological proficiency has been crucial in managing risk and navigating through volatile markets.

Sankalp's proficiency extends to developing automated trading strategies based on back-testing frameworks, focusing on intraday long/short positions in US equities and futures. He is responsible for managing a portfolio of strategies within a designated account, ensuring optimal performance and risk management.

Popular smallcases by Finansys

Unlock all metrics

Login to see the live performance and returns

Subscribe to Finansys

For Finansys, you need to subscribe to each fee-based smallcase separately

See all smallcases

For Finansys, you need to subscribe to each fee-based smallcase separately

Benefits of investing in this smallcase

  • Seamlessly place orders in 1 click

  • Get every quarter rebalance updates

  • Easily start SIPs for disciplined investing

Frequently asked questions