The Complete Mutual Fund Mastery & Advisory Program

What Will You Learn?

• Understanding the Ecosystem: Grasping AMCs, NAV, regulations (SEBI), and the critical difference between direct vs. regular plans.
• SIP Psychology & Mechanics: In-depth study of SIP as a behavioral and financial tool—rupee cost averaging, volatility harvesting, and the power of step-up SIPs.
• Tool Setup: Mandatory hands-on activation of direct plan accounts (Groww/Zerodha) and building live tracking dashboards (Google Sheets).
• Beyond Past Returns: Using advanced metrics (Sharpe, Sortino, Max Drawdown) and consistency scores (Rolling Returns, CRISIL/Morningstar ratings) for selection.
• Portfolio Hygiene: Actively managing diversification through overlap analysis and fund house concentration risk.
• AI-Augmented Screening: Using AI prompts to efficiently screen vast fund universes based on multi-parameter criteria, followed by manual verification.
• Rule-Based Allocation: Implementing age-based (100-age) and core-satellite (60/25/15) models tailored to individual risk profiles.
• Category Mastery: Deep dives into selecting funds across Largecap (Active/Passive), Midcap, Smallcap, Debt, Hybrid, and International categories.
• Lifecycle Portfolios: Dynamic asset allocation strategies that evolve from aggressive (90% equity) to conservative through key life stages (Age 18-45+).
• Active vs. Passive Debate: Applying the right strategy per category—passive for large-cap, active for mid/small-cap alpha hunting.
• Manager Analysis: Evaluating fund manager track record, style consistency, and AUM growth to build conviction portfolios.
• Cost & Tax Efficiency: Optimizing for Expense Ratios (TER) and understanding tax implications (STCG/LTCG) for maximum after-tax returns.
• Tactical Moves: Allocating to sectoral/thematic funds and style rotation (Value vs. Growth) within a satellite portfolio.
• Alternative Assets: Integrating Gold, REITs, and InvITs for diversification.
• Risk Management Toolkit: Implementing volatility targeting (using VIX), rebalancing cadences, tax-loss harvesting, SWP planning, and stress-testing portfolios against historical crashes.
• Business Model Understanding: Knowing the difference between SEBI RIA and distributor (ARN) models.
• Client Engagement Cycle: Mastering discovery, proposal generation (aided by AI), portfolio construction, and structured quarterly reviews.
• Commercialization: Defining service packages (one-time, quarterly, annual), creating case studies, and leveraging affiliate platforms (Groww/Upstox) for launch.
• AI as a Strategic Co-Pilot (Integrated Throughout).