20 Equity Scripts Long Term Growth Model Portfolio | Mixed Sectors 5 – Media – Packaging – Forest – Garments – Gems – Tea&Coffee – Diversified – Edible Oil – Sugar – Beverages – Fertilizers – Services – Agro Commercial Vehicles – Commodity | Rebalancing Monthly | Future Risk may Exceed 55% | ETFs Composition is 0% | 12 Months Subscription Plan

“Investment Objective:
Diversify into media, packaging, forest, gems, tea & coffee, garments, and other commodity sectors fueled by consumption growth and exports.

Investment Rationale:
Diverse Growth Drivers: These sectors benefit from rising consumer demand, urbanization, and export opportunities, offering multiple avenues for sustained growth and high earning potential over the long term.

Increasing Domestic and Global Integration: The sectors such as gems, garments, and agro-commodities are expanding their presence in global markets, boosting revenues and creating robust export-driven growth prospects.

Favorable Policy and Innovation Environment: Supportive government reforms, technological advancements, and improved supply chains enhance productivity and profitability, making these sectors attractive alternatives with higher growth and diversification benefits compared to other asset classes.

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.”