East Green PMS
Agile, Rule-Based Investing
With Proprietary Processes for Screening, Entry/Exit & Strict Risk Management Rules
Our Strategies
Our Agile strategy marries fundamental analysis, trend following and strict corporate governance checks to identify opportunities in growing businesses. We generate alpha via swift portfolio modifications based on market trends and our risk management rules.
Trending sectors/stocks: Investment philosophy of leveraging trends resulting from India’s stellar growth prospects
Agile portfolio modifications: Sector and stock rotation with agility, based on developing market trends; churn is not a bad word
Consistency of process: Founder investment team ensures long-term orientation and consistency of investment process
Disciplined risk management: Strict entry/exit rules based on risk management principles; we respect the market when it tells us that we are wrong
Our Quantitative strategy leverages machine learning to unlock alpha, protect capital, and generate consistent returns across market conditions. Built on deep market expertise, we continuously refine our data-driven models for new opportunities and risk mitigation.
No human bias: Algorithms remove human emotional biases, unlocking superior returns through efficient decision making
Data driven decision making: Proprietary research uses vast datasets and machine learning to create proven models
Technology based: Quantitative tools, ML techniques, fast cloud processing power consistent results
Adaptive strategies: Continuous model refinement ensures we adapt to market shifts
Why East Green?
Bias for trending stocks
Investment philosophy of leveraging trends resulting from India’s stellar growth prospects
Agile portfolio modifications
Agile sector and stock rotation based on developing market trends; churn is not a bad word
Consistency of process
Founder investment team ensures long-term orientation and consistency of investment process
Disciplined risk management
Strict entry/exit rules based on our risk management principles; we respect the market when it tells us that we are wrong