40 Equity and ETF Scripts Long Term Growth Portfolio | Industry – Commodities | Rebalancing Monthly | Equity ETFs Composition is 10% | 12 Months Subscription Plan

₹63,000.00 for 1 year

Telegram Bot Command for @ShubhaangBot : /cmdt_40_2520000_e_10

Portfolio Parameters

Parameter	Value
Stock Group Title	Industry – Commodities
Portfolio Size	40 Equity and ETF Scripts {36 Equities and 4 Equity ETFs}
ETFs Composition Percentage	Equity ETFs Composition is 10%
Portfolio Risk	Future Risk may Exceed 35%
Minimum Annual Investment Capital	₹ 25,20,000
Optimal Investment Tenure	7 or more years.
Rebalancing Frequency	Rebalancing Monthly
Subscription Tenure	12 Months Subscription Plan
Backtest – Sharpe Ratio	Hist. Sharpe Ratio above 1.3
Backtest – Annualised Returns	Hist. Annualised Returns Under 40%
Backtest – Annualised Risk	Hist. Annualised Risk Exceeding 20%
Backtest – Max. Drawdown	Hist. Max. Drawdown Exceeding 25%
Backtest – Max. Recovery Time	Hist. Max. Recovery Time Exceeding 8 Quarters
Simulation – Lumpsum Capital Growth Multiple	** More than 46 times in 20 yrs with 99.9% probability

Probability Levels (%)	20 Years	15 Years	10 Years	5 Years	3 Years	1 Year
99.9% Probability	** 46.15	12.34	3.66	1.16	0.82	0.69
99% Probability	99.21	24.13	6.09	1.73	1.12	0.82
98% Probability	131.22	30.53	7.38	1.98	1.25	0.87
95% Probability	199.95	43.42	9.85	2.43	1.46	0.96
90% Probability	290.15	59.78	12.80	2.92	1.68	1.04
80% Probability	463.39	89.59	17.75	3.66	2.00	1.15
75% Probability	559.51	105.30	20.19	4.00	2.15	1.20
50% Probability	1,736.54	268.59	41.71	6.44	3.06	1.45

Refer to the “Backtests & Simulations” tab for further details on their operational settings.

Leverage global commodity demand through companies involved in mining, metals, energy, and agriculture.

Robust Global Demand and Export Opportunities: India’s commodities sector, including minerals, energy, and agricultural products, benefits from growing international demand, providing substantial growth and earning potential compared to domestic-only industries.
Strategic Resource Base and Infrastructure Development: India’s rich natural resources and ongoing infrastructure investments enhance the competitiveness of commodities stocks, supporting long-term value creation and higher profitability.
Benefit from Commodity Price Cycles and Global Trends: The cyclical nature of commodities allows investors to capitalize on favorable price movements, offering superior returns and diversification advantages over other industries or fixed-income asset classes.

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.
Proprietary algorithms, advanced quantitative models, and technical analysis are applied to systematically identify securities with the highest likelihood of delivering superior returns.
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.
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.

Stocks Group Title	Industry – Commodities
Scripts Types	Equities and Equity ETFs
Portfolio Size	40 Equity and ETF Scripts
ETFs Composition Percentage	Equity ETFs Composition is 10%
Portfolio Risk	Future Risk may Exceed 35%
Ideal Annual Investment	Capital above ₹ 25,00,000
Optimal Investment Tenure	7 or more years
Rebalancing Frequency	Rebalancing Monthly
Subscription Tenure	12 Months Subscription Plan
Subscription Plan Fee	Annual Subscription Fee Under ₹ 65,000
Backtest - Sharpe Ratio	Hist. Sharpe Ratio above 1.3
Backtest - Annualised Returns	Hist. Annualised Returns Under 40%
Backtest - Annualised Risk	Hist. Annualised Risk Exceeding 20%
Backtest - Max. DrawDown	Hist. Max. Drawdown Exceeding 25%
Backtest - Max.Recovery Time	Hist. Max. Recovery Time Exceeding 8 Quarters
Simulation Lumpsum Multiple	More than 46 times in 20 yrs with 99.9% probability

Backtest models are constructed using a limited set of assumptions about market conditions and portfolio characteristics; therefore, backtest results should not be interpreted as indicative of actual past performance in real-world conditions.
Backtest results and Simulation results should never be used as a basis for comparing the actual performance of other intermediaries.
Backtest and simulation outputs are provided solely as factual data to support comparative assessment of my subscription plans. They highlight the model’s potential in relation to the portfolio’s investment rationale and parameters under the stated investment methodology.
Simulation results are derived from 100,000 trials and represent potential future scenarios based on normalised inputs (average returns and return volatility) obtained from backtesting.
Users are strongly advised to exercise extreme caution when using this information.
These back-test results and simulation have not been verified by PaRRVA (Past Risk and Return Verification Agency) or any other SEBI-recognized agency.
The impact of periodic portfolio rebalancing and transaction costs has been factored into these back-test results.
"Backtesting and simulation results do not serve as indicators of future performance or guarantees of returns and they should not be interpreted as an endorsement or advertisement."

Monthly Portfolio Returns are assumed to follow a normal distribution over a 20-year horizon, with mean returns and volatility presumed to mirror historically observed levels.
Portfolios are rebalanced once monthly.
Portfolio risk level and Sharpe ratio are assumed to remain unchanged over the 20-year period.
Other than the initial lump sum investment, no additional contributions or withdrawals are made over the 20 years period.
Portfolio rebalancing is assumed to be unconstrained by liquidity over the 20‑year period: required quantities of each security can be bought or sold at competitive prices on every rebalancing, and transaction volumes are assumed to have a negligible impact on market prices.
Earnings from dividends are ignored.
Simulation results are not adjusted for inflation rates.
Effects of taxes on the capital appreciation (Capital Gains Tax & Taxes on Dividends) are not accounted.

Transactional costs are included in the Sharpe ratio calculations.
Risk free rate is assumed to be 6.5% p.a.
Each simulation value is resulted from 1,00,000 simulation trials using the Monte Carlo method.
Simulation results are derived for probability levels (confidence levels) of 99.9%, 99%, 98%, 95% and 90%.
Simulation values do not predict or reflect future market conditions; they represent only possible future outcomes.