Capitalmind Hits ₹500 Cr AUM, CEO Urges 'No Love Lost' Data Investing

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AuthorAarav Shah|Published at:
Capitalmind Hits ₹500 Cr AUM, CEO Urges 'No Love Lost' Data Investing
Overview

Capitalmind, led by CEO Deepak Shenoy, has quickly amassed ₹500 crore in assets under management and over 11,000 investors in its first year. Facing tough markets, the firm sticks to a strict data-driven, emotion-free investment approach, famously stating, 'stocks we buy don't love us back.' Shenoy advocates for systematic, probability-based strategies to manage market shifts and urges investors to stay disciplined.

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Capitalmind Reaches ₹500 Crore AUM Milestone

Capitalmind has rapidly carved out a significant niche in India's asset management sector, surpassing ₹500 crore in Assets Under Management (AUM) within its first financial year. The firm's early success includes attracting over 11,000 investors across more than 1,300 cities, a notable achievement in a challenging market environment marked by foreign outflows and currency pressures.

Data-Driven Approach: 'Stocks We Buy Don't Love Us Back'

CEO Deepak Shenoy champions a disciplined, evidence-based approach, famously stating that "the stocks we buy don't love us back." This philosophy guides Capitalmind's commitment to quantitative, data-driven decisions, setting aside intuition and emotional biases. The firm ranks stocks using measurable metrics such as quality, value, momentum, growth, and profitability, combining these factors to construct diversified portfolios.

Navigating Markets with a 'Regime Indicator'

To adapt to changing market conditions, Capitalmind uses a "regime indicator" to dynamically adjust its investment factors. Whether the market is in an uptrend, downtrend, or moving sideways, this systematic, probability-driven strategy ensures portfolios remain positioned to navigate various market cycles effectively. The approach is informed by nearly two decades of back-tested data.

Safeguarding Investment Models from Bias

Capitalmind acknowledges that human design can introduce biases, so it employs several safeguards. These include basing models on established global research, validating them for Indian markets, and carefully avoiding overfitting to past data. Strict adherence to model outputs, such as selling a stock when the model indicates, reinforces discipline even against personal opinion. The firm also maintains a high active share, ensuring its portfolios differ from standard market indices.

Market Outlook and Investor Guidance

Looking ahead, Shenoy expresses caution about short-term market uncertainties, pointing to global geopolitical tensions and supply disruptions. Despite these concerns, he remains optimistic about India's long-term growth prospects for the next decade, expecting stronger companies and greater market participation. His core advice to investors centers on aligning investments with their time horizons, maintaining discipline, avoiding market timing, and practicing patience, stressing that consistency and patience are vital for long-term success.

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Disclaimer:This content is for educational and informational purposes only and does not constitute investment, financial, or trading advice, nor a recommendation to buy or sell any securities. Readers should consult a SEBI-registered advisor before making investment decisions, as markets involve risk and past performance does not guarantee future results. The publisher and authors accept no liability for any losses. Some content may be AI-generated and may contain errors; accuracy and completeness are not guaranteed. Views expressed do not reflect the publication’s editorial stance.