Education
Six pillars covering everything from reading company financials to deploying systematic algos.
Fundamental Analysis
Balance Sheet, P/E, P/B, ROE, ROCE, Earnings Growth, Debt-to-Equity, Cash Flow, sector context.
Stock Analysis
Identifying quality names worth trading, peer comparables, screeners, and fundamental + technical setups.
Technical Analysis
RSI, MACD, ATR, Stochastic, Bollinger Bands, divergence, candlestick patterns, market structure.
Options Strategies
Bear Call, Bull Put, Iron Condor, Calendar — defined-risk structures with payoff diagrams.
Algo Trading
Python automation, backtesting frameworks, IBKR / Kite Connect APIs, paper-to-live workflows.
Investing & Compounding
SIP investing, compound interest, long-term wealth creation — best for those new to markets.
Risk Management
Position sizing (1–2% per trade), max concurrent positions, daily kill switch, drawdown control, trader psychology.
risk:
account_size_usd: 100000
max_loss_per_trade_pct: 2.0
max_concurrent_positions: 3
max_daily_loss_pct: 4.0Quantitative Analysis
IV Rank filters, statistical edge, R-multiples, expectancy, walk-forward validation, regime detection.
Trading Psychology
The hardest part of trading isn't the system — it's sitting through drawdowns without abandoning the system.