15 Equity Scripts Long Term Growth Model Portfolio | Theme – Piotroski Score above 7 | Rebalancing Monthly | Risk involved is morethan 45% | Equity ETFs Composition is 60% | 12 Months Subscription Plan

“Investment Objective:
Target stocks with exceptionally high financial discipline and earnings quality, scoring above 7.

Investment Rationale:
Exceptional Financial Robustness: Stocks with a Piotroski Score above 7 demonstrate outstanding financial health, including high profitability, strong cash flows, and solid balance sheets, reducing investment risks and increasing the likelihood of sustained growth.

Higher Probability of Capital Appreciation: These stocks typically show consistent earnings momentum and efficient management, providing greater earnings growth potential and outperformance compared to stocks with lower Piotroski scores or other asset classes.

Quality-Driven Value Investing: Investing in these high-scoring companies allows investors to target undervalued, yet fundamentally strong stocks, offering a compelling combination of safety and growth, with significant earning potential over the long term versus stocks with Piotroski scores below 7.

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.”