Turnover risk
periodic reshuffles can increase transaction costs and reduce realised returns.
A lower-drawdown Nifty 500 momentum model portfolio with broader diversification and tighter risk controls.
Conservative Dual Momentum is a rules-based Nifty 500 model portfolio designed to participate in equity momentum while placing greater emphasis on drawdown control, diversification, and smoother participation than the standard Dual Momentum strategy.
Quick fit
Risk
Moderate-high
Rebalance
Twice Monthly
Capital
₹1,00,000
Holdings
60
Best suited for
Fast growth
Risk level
Moderate-high
Suggested horizon
3Y+
Rebalance frequency
Twice Monthly
Target holdings
60
Minimum capital
₹1,00,000
Backtest
Review simulated portfolio growth, benchmark comparison, drawdowns and risk-adjusted performance. Historical results are hypothetical and subject to the assumptions and limitations described below.
Methodology
Conservative Dual Momentum is a rules-based Nifty 500 model portfolio designed to participate in equity momentum while placing greater emphasis on drawdown control, diversification, and smoother participation than the standard Dual Momentum strategy.
Conservative Dual Momentum is a rules-based Nifty 500 model portfolio designed to participate in equity momentum while placing greater emphasis on drawdown control, diversification, and smoother participation than the standard Dual Momentum strategy.
The strategy uses the locally maintained Nifty 500 universe. The universe is refreshed from the research project's reference data before backtests and model-portfolio generation.
The model evaluates stocks using a disclosed rule-set combining price trend, consistency of movement, implementation-cost awareness, and risk controls; exact ranking parameters remain private. The conservative variant is tuned to prefer stronger net Calmar-style outcomes rather than simply maximizing gross CAGR. Exact ranking formulas, lookback windows, optimized weights, thresholds, buffers, and tie-break rules are private strategy parameters and are not exposed in the public methodology.
The strategy targets a broader diversified basket than the standard Dual Momentum strategy, subject to model constraints such as position sizing, sector exposure, and residual cash or cash-equivalent allocation rules. The exported model portfolio contains the current target weights for subscriber use.
The strategy is designed for periodic rebalancing. At each rebalance, the model refreshes rankings, reviews existing holdings, applies retention and risk controls, and produces the updated target portfolio.
When the model has fewer qualifying opportunities or portfolio constraints prevent full equity deployment, the residual allocation may remain in cash or a cash-equivalent proxy.
This public methodology intentionally omits exact implementation parameters. Vriksha should not render internal methodology files, finalized configuration files, experiment outputs, or exact scoring parameters on public pages.
Portfolio
Preview the model portfolio structure and review subscriber-only implementation material in one place.
Model portfolio glimpse
ANANDRATHI
Anand Rathi Wealth Ltd.
STARHEALTH
Star Health and Allied Insurance Company Ltd.
HONASA
Honasa Consumer Ltd.
RADICO
Radico Khaitan Ltd
OFSS
Oracle Financial Services Software Ltd.
Full target weights, notes, CSV export, and rebalance trail remain subscriber-only.
Unlock the latest model portfolio, target weights, CSV exports, and recent rebalance notes with an active subscription or manual access grant.
Risks
These risks are not exhaustive. Read the complete risk list before subscribing.
periodic reshuffles can increase transaction costs and reduce realised returns.
trend reversals in range-bound markets can trigger losses around rebalance points.
momentum exposures can correct sharply when market leadership rotates.
high-scoring names and sectors can cluster despite rule-based diversification.
large overnight moves can materially change realised portfolio outcomes.
larger deployment can increase slippage, especially in less liquid constituents.
delays, lot-size constraints, and rounding can create return drift.
published outputs depend on historical data quality, assumptions, and fixed rule interpretation.
Pricing
Monthly price
₹3,500/month
Minimum capital
₹1,00,000
Recommended capital
₹5,00,000
Basket execution remains client-directed through the broker. No POA and no auto-execution.
Disclosures
Investment in securities market is subject to market risks. Read all the related documents carefully before investing.
Registration granted by SEBI, enlistment with BSE and certification from NISM in no way guarantee performance of the intermediary or provide any assurance of returns to investors.
Backtested returns are illustrative and do not indicate guaranteed future performance. Model portfolios are research products and are not trade execution services.
Vriksha Research · SEBI-registered Research Analyst · Registration No. INH000027788
Investment in securities market is subject to market risks. Read all the related documents carefully before investing.
Registration granted by SEBI, enlistment with BSE and certification from NISM in no way guarantee performance of the intermediary or provide any assurance of returns to investors.
Suitability: NA · Target investor: NA
Grievance Officer: Prathmesh Jaiprakash Gupta, SEBI-registered Research Analyst (Registration No. INH000027788). Contact: gupta.prathmesh@yahoo.in / +91 9930521527.
Investor grievances may be lodged on SEBI SCORES or through the SMART ODR platform.