Stock Market Fundamentals – Trading & Investing

What Will You Learn?

• The course deliberately establishes a strong baseline in market mechanics, fundamental analysis (FA), and technical analysis (TA) before introducing AI tools. AI is positioned as a "co-pilot" for screening, optimization, and sentiment analysis, but all signals require manual verification, reinforcing the need for core competency.
• Each week culminates in a practical project (e.g., market dashboard, virtual portfolio, backtested trading system, risk calculator). Learning is anchored in doing—setting up accounts, paper trading, analyzing real financials, and building spreadsheets—ensuring theoretical concepts are immediately applied.
• Risk management is not a single session but a recurring theme. It evolves from basic stop-loss orders to advanced concepts like the 1% rule, Kelly Criterion, correlation limits, portfolio beta-weighting, and Value at Risk (VaR). The focus is on capital preservation as a prerequisite for growth.
• Trading psychology is given dedicated, late-course focus when the student has enough simulated experience to recognize their own biases (FOMO, loss aversion). It's framed as a non-negotiable system component, complete with mandatory journaling and rule-based discipline (e.g., 3-loss rule).
• Regulations & Platforms: SEBI, T+1 settlement, Indian brokerages (Zerodha, Groww), tax regimes (LTCG, STT).
• Instruments: NSE/BSE indices (Nifty, BankNifty), Indian F&O expiry cycles, commodities on MCX, USDINR forex.
• Tools: Local platforms like Screener.in, Tickertape, Zerodha Streak, and Sensibull.
• The course builds versatility across asset classes: Equities, Equity Derivatives (F&O), Commodities (Gold/Crude), Forex (USDINR), and a touch of Crypto. This prepares the learner for diversification and seeking opportunities beyond stocks.
• The culmination is a capstone trading system that integrates all learned components: Fundamental screening for stock selection, Technical Analysis for precise entry/exit, Derivatives for strategic positioning, rigorous Risk Management for sizing, and Psychology for discipline. The final output is a live paper-tested system with defined performance targets.