How to Cut ₹1,00,000 Brokerage to ₹0 With an AI-Built Trading Terminal | #Face2Face with Mr. Vivek

Learn Stock Market 1M+ • 8 days ago

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What This Video Is About

Vivek Kumar, a self-described "lazy trader", discusses his experience building an AI-powered trading terminal for algorithmic and systematic trading, with the goal of simplifying his trading approach and reducing brokerage costs.

Major Ideas Discussed

  • Kumar's background and motivation for building the trading terminal, including his initial investments in cryptocurrency and Indian equities
  • Understanding API and automation, using a restaurant analogy to describe API as a connector between his system and the broker's services
  • Key tools and concepts used, including Claude Code, VS Code, ChatGPT, Python, Git, and Telegram
  • The four stages of building the terminal: ideas, planning, architecture, and execution
  • Features and demonstrations of the terminal, including placing equity orders, controlling the terminal through Telegram, and payoff graphs and strategy builders
  • Lessons learned and advice, emphasizing persistence, clear specifications, simplification, testing, and maintenance of automated systems

What to Watch Next

The discussion will continue in a follow-up video on building algorithmic systems, covering topics such as backtesting and integration.