Velocity vector is intended for users seeking general research insights into systematic, rules‑based technical frameworks applied to large‑cap equities. It is not tailored to any specific investor profile
Portfolio Attributes
| Attribute | Detail | Attribute | Detail |
| Universe | Nifty 50 Constituents Only | Trade Style | Long-only, Positional |
| Model Inception | 1 Jan 2023 | Minimum Recommended Investment | ₹3,00,000 |
| Max Drawdown | -14.82% | Rebalance Frequency | Monthly |
1. Portfolio Overview
Velocity vector is a rules‑based, research‑driven model portfolio derived from a systematic technical framework. It focuses on Nifty 50 stocks that display pronounced directional movement and sustained momentum, highlighting companies that stand out for their ability to maintain strength during market shifts based on generalized quantitative evaluation.
This model portfolio is a general research product and does not consider the specific investment objectives, financial situation, or risk profile of any individual investor.
2. Research Objective
The objective of Velocity vector is to present a structured, repeatable research methodology that highlights large‑cap stocks demonstrating favourable technical patterns. The framework aims to provide a transparent, data‑driven view of market leadership within the Nifty 50 universe.
This is not investment advice or a recommendation to buy, sell, or hold any security.
3. Research Methodology
Velocity vector is constructed using the RHOMB Technical Research Framework, a proprietary quantitative system that evaluates stocks using objective, rules‑based criteria:
a. Price Boundary Model
A structured process that defines upper and lower price limits to highlight when a stock is consolidating within boundaries or approaching potential breakout points.
b. Momentum Strength Assessment
Each stock is evaluated using a rule‑based momentum indicator to identify securities exhibiting relatively stronger price behaviour compared to peers.
c. Rule‑Driven Inclusion Criteria
A stock is included in the model portfolio when it satisfies RHOMB’s predefined technical conditions based on pattern recognition and mathematical filters. These conditions are part of a systematic research methodology and do not constitute personalized advice.
d. Equal‑Weight or Rule‑Based Weighting
Weights are assigned based on the model’s internal rules. Weighting does not imply suitability for any specific investor.
4. Rebalancing Framework
Rebalancing updates are published when the research methodology identifies changes in qualifying securities. These updates are informational research outputs and do not constitute instructions to execute trades.
Users may choose to act on this research at their own discretion.
5. Historical Model Performance
Excludes include brokerage and other costs # Net returns exclude the brokerage costs charged by a discount broker. Note that the returns may differ due to market drift and broker used.
6.Risk Considerations
This model portfolio is a research publication, not a personalized advisory product.
It does not account for individual risk tolerance, financial goals, or investment horizon.
Market risks, liquidity risks, and price volatility may affect actual outcomes.
Users should consult a SEBI‑registered Investment Adviser for personalized financial advice.
7. Limitations of the Research Model
The methodology is based on historical price behaviour and technical indicators.
Model outcomes may differ from real‑world execution due to costs, slippage, and timing.
The framework may not perform consistently across all market conditions.
No guarantee is provided regarding accuracy, completeness, or future performance.
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