Advanced Stock Trading Course + Strategies

Lesson 1 • Equity Instruments and Asset Classes

Differentiates ordinary shares, preference shares, ETFs, and ADRs. Builds instrument literacy required for strategy selection in later chapters.

Lesson 2 • Reading Market Data and Quotes

Teaches bid-ask spread interpretation, Level 1 and Level 2 quotes, and time-and-sales data. These skills are prerequisite for technical analysis and order flow reading.

Lesson 3 • Order Types and Execution Mechanics

Explains market, limit, stop, and conditional orders with execution logic. Proper order selection directly affects trade entry quality and risk control.

Lesson 4 • How Equity Markets Operate

Covers exchange architecture, market makers, and price discovery. Anchors all subsequent trading concepts in real market infrastructure.

Lesson 1 • Technical Indicators and Oscillators

Applies moving averages, RSI, MACD, and Bollinger Bands to generate and filter signals. Indicator combinations reduce false signals and improve trade timing.

Lesson 2 • Candlestick Patterns and Signals

Covers high-probability single and multi-candle reversal and continuation patterns. Pattern recognition accelerates trade signal identification in real-time charts.

Lesson 3 • Chart Types and Timeframe Selection

Compares candlestick, bar, and line charts across multiple timeframes. Timeframe alignment is foundational to all pattern and indicator work ahead.

Lesson 4 • Trend Identification and Structure

Defines uptrends, downtrends, and consolidation using swing highs and lows. Trend context determines whether to trade breakouts, pullbacks, or reversals.

Lesson 1 • Market Depth and Level 2 Order Flow

Reads bid-ask stacking, iceberg orders, and spoofing patterns in Level 2 data. Order flow reading provides real-time insight into supply and demand imbalances.

Lesson 2 • Volume Fundamentals and Interpretation

Explains volume as confirmation of price moves and divergence as a warning signal. Volume analysis is the first filter applied to all chart-based setups.

Lesson 3 • Accumulation and Distribution Detection

Applies Wyckoff methodology and on-balance volume to identify institutional positioning. Recognising accumulation phases enables early entry before major price moves.

Lesson 1 • Earnings Events and Catalyst Trading

Analyses earnings surprise history, guidance revisions, and post-earnings drift. Catalyst-driven setups offer defined risk windows with asymmetric return potential.

Lesson 2 • Macro Factors and Sector Rotation

Connects interest rates, inflation, and economic cycles to sector performance. Macro awareness ensures trades align with the dominant capital flow environment.

Lesson 3 • Valuation Metrics for Trade Filtering

Applies P/E, P/S, EV/EBITDA, and PEG ratios to assess relative value. Valuation context prevents chasing overextended stocks and identifies undervalued setups.

Lesson 4 • News, Catalysts, and Event-Driven Setups

Identifies tradeable catalysts including mergers, FDA decisions, and contract wins. Event-driven setups combine fundamental triggers with technical entry precision.

Lesson 1 • Drawdown Management and Recovery

Applies drawdown thresholds, reduced sizing protocols, and psychological recovery steps. Structured drawdown response prevents emotional decisions from compounding losses.

Lesson 2 • Defining and Measuring Trade Risk

Quantifies risk per trade using stop distance, account percentage, and R-multiples. Precise risk definition is the prerequisite for all position sizing calculations.

Lesson 3 • Stop Loss Strategies and Execution

Designs hard stops, mental stops, time stops, and volatility-based exits. Disciplined stop execution separates professional traders from undisciplined ones.

Lesson 4 • Position Sizing Models and Methods

Compares fixed fractional, Kelly criterion, and volatility-adjusted sizing methods. Correct sizing ensures no single trade can cause catastrophic account damage.

Lesson 1 • Breakout and Consolidation Strategies

Identifies high-quality consolidation patterns and builds breakout entry filters. Breakout strategies capture explosive moves following periods of compressed volatility.

Lesson 2 • Swing Trading Multi-Day Setups

Structures multi-day swing trades using daily chart patterns and catalyst alignment. Swing strategies maximise gains from intermediate price moves with lower time commitment.

Lesson 3 • Mean Reversion and Range Trading

Designs fade setups using Bollinger Bands, RSI extremes, and range boundaries. Mean reversion strategies thrive in low-volatility, range-bound market environments.

Lesson 4 • Gap Trading Strategies

Classifies gap types and builds rules for gap-and-go versus gap-fill trades. Gap setups offer defined risk with high early-session momentum and volume.

Lesson 1 • Income and Premium Selling Strategies

Applies covered calls, cash-secured puts, and credit spreads to generate income. Premium selling strategies profit from time decay and elevated implied volatility environments.

Lesson 2 • Directional Options Strategies

Builds long calls, long puts, debit spreads, and LEAPS for directional trades. Defined-risk directional options outperform stock in high-conviction, time-limited setups.

Lesson 3 • Implied Volatility and Options Pricing

Analyses implied volatility rank, skew, and term structure to assess option value. IV analysis determines whether buying or selling premium is the higher-edge approach.

Lesson 4 • Hedging Equity Positions with Options

Uses protective puts, collars, and index puts to hedge stock and portfolio risk. Options hedges allow traders to hold positions through volatility without forced exits.

Lesson 1 • Live Trading Execution and Review Process

Establishes pre-market routines, execution checklists, and post-trade review cycles. Systematic execution and review compound skill development and close performance gaps.

Lesson 2 • Building a Rules-Based Trading System

Defines universe selection, entry triggers, exit rules, and filters into a complete system. A rules-based system eliminates discretionary inconsistency and enables objective performance review.

Lesson 3 • Performance Metrics and System Evaluation

Calculates win rate, expectancy, Sharpe ratio, and maximum drawdown to evaluate systems. Objective metrics distinguish genuinely profitable systems from lucky short-term results.

Lesson 4 • Trade Management and Dynamic Adjustment

Applies scaling, trailing stops, and partial exits to maximise open trade performance. Active trade management converts average setups into high-reward outcomes.