RevDog AI

RevDog V3 evolves small-cap stock analysis from score-based conviction to institution-ready decision support. By validating factor persistence, stabilizing peer comparisons, and separating macro from stock signals, V3 prioritizes reliability, risk control, and capital protection.

Top small-cap funds don’t chase themes—they engineer portfolios built for stability, multi-theme resilience, and disciplined rotation. By blending growth engines, defensives, liquidity buffers, and cycle-aware signals, they consistently deliver high returns with controlled drawdowns.

Staples and Healthcare are deemed defensive because their demand, cash flows, and earnings remain stable across economic cycles. With low volatility, strong pricing power, and smaller drawdowns, they act as natural stabilisers when markets turn risk-off.

This fund deliberately runs a “small-cap-plus” or “extended multi-cap” strategy rather than a pure small-cap one. It sacrifices some upside in raging small-cap bull markets but protects capital much better in sharp drawdowns (2018–20, 2022, 2025 YTD are good examples).

The Smallcap Catalyst Model identifies the right themes—especially the pre-Budget capex cycle—but expresses them with unsafe concentration. Compared with resilient portfolios like Nippon Small Cap, SCM is thematically accurate but structurally fragile due to 15% position sizing and narrow breadth.

The Smallcap Catalyst Model (SCM) converts fundamentals, technical signals, and market context into theme-driven small-cap portfolios with explicit risk rules. This article explains how SCM forms themes, selects stocks, and enforces disciplined, systematic execution.

A data-driven, multi-factor framework for navigating India’s small-cap markets with discipline, robustness, and AI-guided risk control.

Tested a 'promising' GST trading strategy claiming 78% correlation with stock returns. Rigorous backtest revealed negative correlation (-0.38) and fiscal year-end artifacts. How proper due diligence killed a bad strategy in hours, not weeks.