Series · Wealth & Automation
Part 1: The Multi-Income Stack for Software Engineers
A deep dive into constructing a multi-income portfolio as a developer. Compare index funds, REITs, P2P lending, tech freelancing, micro-SaaS, and automated trading.
19 parts
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- Part 1 Part 1: The Multi-Income Stack for Software Engineers A deep dive into constructing a multi-income portfolio as a developer. Compare index funds, REITs, P2P lending, tech freelancing, micro-SaaS, and automated trading.
- Part 2 Part 2: Is Options Trading Profitable? Debunking the Zero-Sum Game Is options trading actually profitable? Explore zero-sum dynamics, the Volatility Risk Premium, SEBI statistics, and the required reading syllabus.
- Part 3 Part 3: Multi-Asset Strategy Matrix: Options, Futures, Equity & MTF A comprehensive analysis of options spreads, index futures trend following, equity momentum, and Margin Trading Facility (MTF) leverage strategies for maximum win-rate and profit.
- Part 4 Part 4: The Zero-Cost Indian Trading API Landscape A comprehensive breakdown of broker APIs, brokerage fees, AMC, and data costs (WebSocket feeds vs. historical candles) for automated trading in India.
- Part 5 Part 5: Coding vs. Managed Platforms: The Ultimate Algo-Trading Guide Should you write your own Python bot or deploy on managed platforms? Evaluate the trade-offs of cost, speed, and platform risk.
- Part 6 Part 6: Deep Dive into Managed Platforms: AlgoTest & Tradetron Step-by-step setup guides for deploying no-code options strategies on AlgoTest and Tradetron using free plans.
- Part 7 Part 7: Serverless Database Architecture: Turso Edge How to design a zero-cost persistent state store for your trading bot using Turso edge databases and libSQL.
- Part 8 Part 8: Building a Python-Based Option Paper Trading Engine How to construct a reliable, database-backed paper trading simulator in Python to test option strategies without financial risk.
- Part 9 Part 9: Coding the Multi-Strategy Automation Bot A complete step-by-step blueprint of a parameterized Python option trading bot running on Shoonya/Flattrade SDK.
- Part 10 Part 10: Algorithmic Risk Management & Position Adjustments How to program dynamic risk management: portfolio stop-losses, leg rolling, and Iron Condor to Iron Fly conversions.
- Part 11 Part 11: Active Income Accelerator: Monetizing Developer Skills How to accelerate your wealth building by launching freelancing, micro-SaaS, and mentoring streams outside work hours.
- Part 13 Part 13: Directional Options Buying & Momentum Strategies Understanding the mathematics of option buying: delta, gamma acceleration, momentum setups on index expiry days, and risk control guidelines.
- Part 14 Part 14: Index Futures & Cash-Future Arbitrage Mastering futures trend following, index calendar spreads, and executing risk-free cash-futures arbitrage strategies in India.
- Part 15 Part 15: Equity Cash & MTF Swing Trading How to swing trade Stage 2 stock breakouts using Relative Strength and leverage your buying power up to 4x using Margin Trading Facility (MTF).
- Part 16 Part 16: Legal Compliance, AdSense, and Production Launch Checklist Ensure your trading operations and blog monetization are compliant with SEBI regulations, optimized for Google AdSense, and ready for production.
- Part 17 Part 17: Complete Passive Investment Stack for Indian Developers A comprehensive comparison of all passive investment vehicles available to Indian retail investors: FDs, savings accounts, P2P lending, debt funds, index SIPs, REITs, Gold ETFs, and dividend stocks.
- Part 18 Part 18: Asset Allocation Simulator & Portfolio Tracking Dashboard How to simulate and track your entire multi-asset portfolio (FDs, P2P, SIP, REITs, options) using a free GitHub-hosted HTML dashboard.
- Part 19 Part 19: The Sovereign Developer's Income Roadmap Tying together all income streams — salary, passive investments, option selling, freelancing, and micro-SaaS — into a unified financial independence timeline.
- Part 20 "Part 20: The Master Prompt — Sovereign Wealth Engine (Copy-Paste "A fully self-contained, ultra-detailed natural-language prompt