3 Equity and ETF Scripts Long Term Growth Model Portfolio | Mixed Sectors 13 – Diversified Industries – Capital Markets – Textiles | Rebalancing Monthly | Future Risk may Exceed 35% | Debt ETFs Composition is 60% | 12 Months Subscription Plan

“Investment Objective:
Diversified exposure to industries, capital markets, and textiles benefiting from macroeconomic growth and export opportunities.

Investment Rationale:
Multi-Sector Growth Synergy: Diversified industries, capital markets, and textiles collectively offer a high-growth profile, with potential combined CAGR of around 12-14% driven by urbanization, export demand, and infrastructure development.
Export and Global Competitiveness: Textiles and diversified industries stand to benefit from India’s increasing integration into global supply chains, boosting revenues and long-term earnings potential, unlike more niche or domestically limited sectors.
Resilient Long-term Prospects: Supported by government initiatives, technological innovation, and rising domestic consumption, these sectors provide a balanced mix of growth and stability, with sustained earning potential well above other traditional asset classes over the next two decades.

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.”