Course curriculum

  • 1
    Module 1: Overview
  • 2
    Module 2: Intro to ChatGPT and other LLMS
  • 3
    Module 3: The Art & Science of Prompt Engineering
  • 4
    Module 4: Stock, Cryptos, Etfs and more
  • 5
    Module 5: Market Research & Summarisation
  • 6
    Module 6: Sentiment Analysis & Spotting Opportunities
  • 7
    Module 7: Technical Analysis (TA) Basics
  • 8
    Module 8: Technical Analysis With AI
  • 9
    Module 9: Risk & Money Management
  • 10
    Study Material
  • Investing vs Trading Algo Trading
  • Introduction to LLMs Introduction to ChatGPT ChatGPT - handson Introduction to Perplexity AI Perplexity AI - handson Introduction to Bing AI Bing AI - handson Introduction to Gemini Gemini - handson Introduction to Grok Grok - handson
  • What is a Prompt and Why it Matters Types of Prompts (Descriptive, Instructional, Conversational) Techniques for High-Quality Prompts Financial-Specific Prompt Templates
  • Stocks 101 Fundamentals of a Stock Crypto 101 Fundamentals of a Cryptocurrency ETF 101 Mutual Funds 101 Other Assets
  • Set the brief Core summary from raw text Validate with multiple sources Expectations vs reality Numbers that matter Peer and sector context Risk, catalyst, and timing Price action alignment Noise filtering and confidence Pack it for action
  • Scraping & Analysing Sentiment Scoring Large Datasets Detecting Shifts in Mood Spotting Opportunities
  • Technical Analysis (Charts) Technical Analysis (Indicators) Technical Analysis (Patterns) Elliott Wave Theory and Wyckoff Method Fibonacci Retracement/Extensions Advanced Indicators (Ichimoku Cloud, Supertrend) Backtesting Strategies
  • Pattern Recognition Price Behaviour and events
  • Risk & Money Management
  • Study Material