Mid 150 Stock Momentum Portfolio
A systematic approach to stock trading with momentum strategy
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About the Model Portfolio
This model portfolio implements a momentum-based strategy for stock trading. The Stock Momentum Strategy tracks a universe of highly liquid NSE-listed mid-cap stocks across multiple sectors. At the end of every month, the strategy selects the top 10 best-performing stocks based on momentum signals, ensuring the portfolio stays fully allocated to the strongest trends at any given time.
By spanning multiple sectors — technology, financials, auto, pharma, FMCG, and more — the strategy can dynamically rotate into high-performing themes while systematically exiting weaker positions. This keeps the portfolio tactical, responsive, and entirely rules-based.
The strategy focuses on:
- ▸ Identifying stocks with strong price momentum across multiple timeframes
- ▸ Monthly rebalancing on the 1st trading day to maintain optimal allocation
- ▸ Diversification across 8–10 sectors to manage concentration risk
- ▸ Equal weighting across all selected stocks for disciplined position sizing
Portfolio Details
| Launch Date | 01-04-2026 |
| Rebalance Frequency | Monthly (1st Trading Day) |
| Last Rebalance | -- |
| Next Rebalance | 04-05-2026 |
| Benchmark | MidCap 150 |
| Number of Stocks | 10 |
| Holding Period | Recommended for 3+ Years |
Performance History
| Period | Strategy | Mid Cap 150 |
|---|---|---|
| 3 Months | - | -% |
| 1 Year | - | - |
| 3 Years | - | - |
| Since Inception | - | - |
Disclaimer
The Backtested results are derived from historical market data and specific model assumptions. The actual returns may not accurately reflect the impact of real-world factors such as market liquidity, slippage, transaction costs, or changing market conditions. The performance shown here is only to give an idea and should not be considered as an advertisement, promotion, or investment claim.
Past performance — whether actual or backtested — is not indicative of future results. The strategy may perform differently in live markets, and there is no guarantee that the model will achieve similar returns going forward. Investors should not rely solely on returns when making investment decisions and should consider their own financial situation, risk tolerance, and investment objectives before investing.
The performance data presented herein are not verified by Past Risk and Return Verification Agency (PaRRVA) or any other agency recognized by SEBI for this purpose.
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