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