3 Equity and ETF Scripts Long Term Growth Model Portfolio | Mixed Sectors 15 – Agricultural Products – Fertilizers and Agro Chemicals – Food Products – Forest – Beverages | Rebalancing Monthly | Future Risk may Exceed 40% | Equity ETFs Composition is 90% | 12 Months Subscription Plan

“Investment Objective:
Gain from agricultural products, fertilizers, food, forest, and beverages sectors driven by food security and rural development.

Investment Rationale:
Robust Growth Potential: The agriculture and food sectors are driven by India’s rising population, increasing disposable incomes, and government support, projecting a combined CAGR of around 10-12% over the next two decades.
Self-Sufficiency and Export Opportunities: Fertilizers, agro chemicals, and food products benefit from India’s focus on enhancing agricultural productivity, along with expanding export markets, offering substantial long-term earnings potential.
Resilience and Defensive Growth: As essential commodities, these sectors are less affected by economic downturns, providing stable income streams and higher growth prospects compared to other asset classes, supported by rising domestic demand and technological advancements.

Investment Methodology:
1. The broad universe for securities comprises of listed companies within the NSE 500 Index and all ETFs, which are meticulously filtered qualitatively in accordance with the predefined investment objective and investment rationale.
2. Proprietary algorithms, advanced quantitative models, and technical analysis are applied to systematically identify securities with the highest likelihood of delivering superior returns.
3. These models, extensively validated across various asset classes and time horizons, incorporate customized proprietary indicators of momentum, volume, volatility, and trend, ensuring that portfolio construction is entirely driven by objective data and high-quality signals, free from biases, prejudices, or emotional influence.
4. The selection of securities and their respective weightings within the model portfolio is further optimized based on factors including the target portfolio size, ETF allocation, average daily trading turnover, available investment capital, rebalancing frequency, as well as the number of quantitative and technical criteria met by each security.”