Windmill Capital

SEBI Registration No: INH200007645

We’re SEBI registered research analyst creating Thematic & Quantamental curated stock/ETF portfolios. Data analysis is the heart and soul behind our portfolio construction & with 50+ offerings, we have something for everyone.

Sector Tracker
Fundamental
+13 more strategies
Asset Allocation
Quantamental
Thematic
Quality
Growth
Quantitative
Goal Based
Value
Technical
Factor Investing
Dividend
ESG
Momentum

Windmill Capital

SEBI reg. No: INH200007645

We’re SEBI registered research analyst creating Thematic & Quantamental curated stock/ETF portfolios. Data analysis is the heart and soul behind our portfolio construction & with 50+ offerings, we have something for everyone.

Sector Tracker
Fundamental
+13 more
Asset Allocation
Quantamental
Thematic
Quality
Growth
Quantitative
Goal Based
Value
Technical
Factor Investing
Dividend
ESG
Momentum

Managed by

Windmill Capital

Windmill Capital

6+ years experience

  • We build investment products and curated stock/ETF portfolios to help our users achieve their financial goals. Our aim is to be the one-stop-shop for all investing needs for a retail investor.
  • Over 50 portfolios - from high-volatility, pure-equity strategies to low-volatility, asset allocation models, are currently managed by us. We use data, fundamental analysis and mathematical models while assessing sectors, companies, and various asset classes. This makes our approach cautious, yet ambitious!
  • While data and algos help drive our decisions, our analysts step in when the machines fail. With their experience and eye for detail, we were able to avoid companies like Yes Bank, Manpasand Beverages etc which looked good on the outside but were ultimately proved to be wealth destroyers.
  • We build investment products and curated stock/ETF portfolios to help our users achieve their financial goals. Our aim is to be the one-stop-shop for all investing needs for a retail investor.
  • Over 50 portfolios - from high-volatility, pure-equity strategies to low-volatility, asset allocation models, are currently managed by us. We use data, fundamental analysis and mathematical models while assessing sectors, companies, and various asset classes. This makes our approach cautious, yet ambitious!
  • While data and algos help drive our decisions, our analysts step in when the machines fail. With their experience and eye for detail, we were able to avoid companies like Yes Bank, Manpasand Beverages etc which looked good on the outside but were ultimately proved to be wealth destroyers.

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