Advanced Trading Course

Lesson 1 • Price Discovery and Liquidity

Explains how supply and demand set prices and how liquidity affects execution. Directly informs entry/exit strategy in later chapters.

Lesson 2 • Core Tradable Instruments

Defines equities, fixed income, derivatives, FX, and commodities. Connects instrument mechanics to risk/reward profiles traders must understand.

Lesson 3 • Market Structure and Participants

Maps the ecosystem of exchanges, OTC venues, and key actors. Establishes who drives price and why, anchoring all subsequent analysis.

Lesson 4 • Regulatory and Compliance Fundamentals

Introduces margin rules, reporting obligations, and conduct standards. Ensures traders operate within professional and legal boundaries from day one.

Lesson 1 • Multi-Timeframe Analysis Framework

Integrates signals across higher and lower timeframes for precision entries. Reduces false signals by aligning trade direction with dominant trend context.

Lesson 2 • Chart Pattern Recognition

Identifies head-and-shoulders, triangles, flags, and wedges as actionable setups. Connects pattern completion to measured move targets and stop placement.

Lesson 3 • Technical Indicators and Oscillators

Applies moving averages, RSI, MACD, and Bollinger Bands as confirmation tools. Teaches indicator limitations to prevent over-reliance and false signals.

Lesson 4 • Candlestick and Bar Chart Reading

Decodes price action through candlestick anatomy and key reversal patterns. Forms the visual language used throughout all technical analysis work.

Lesson 5 • Trend Identification and Structure

Defines trend using swing highs/lows, trendlines, and channels. Enables traders to trade with directional bias rather than against momentum.

Lesson 1 • Macroeconomic Drivers of Price

Links GDP, inflation, employment, and central bank policy to asset price trends. Provides the macro context that explains why technical levels hold or break.

Lesson 2 • Equity Fundamental Valuation

Applies P/E, EV/EBITDA, and DCF frameworks to assess stock mispricing. Connects valuation gaps to mean-reversion trade opportunities.

Lesson 3 • Intermarket Relationships

Maps correlations between equities, bonds, commodities, and FX. Enables traders to use one market's signal to anticipate moves in another.

Lesson 4 • Earnings Events and Corporate Catalysts

Structures trades around earnings releases, guidance changes, and M&A events. Teaches pre-event positioning and post-event momentum strategies.

Lesson 1 • Portfolio-Level Risk Controls

Manages correlated exposure, sector concentration, and total portfolio heat. Prevents single-event losses from cascading across multiple open positions.

Lesson 2 • Core Risk Management Principles

Establishes maximum loss per trade, per day, and per drawdown period. These rules form the non-negotiable foundation of professional trading survival.

Lesson 3 • Stop Loss Placement Strategies

Places stops at technically meaningful levels rather than arbitrary distances. Prevents premature stop-outs while maintaining defined maximum loss.

Lesson 4 • Reward-to-Risk Ratio Optimisation

Calculates minimum acceptable R:R ratios given a strategy's win rate. Demonstrates how low win rates remain profitable with superior reward ratios.

Lesson 1 • Momentum and Trend-Following Strategies

Captures sustained directional moves using breakout entries and trailing exits. Performs best in trending markets identified through prior technical analysis work.

Lesson 2 • Strategy Selection by Market Regime

Matches strategy type to trending, ranging, or volatile market conditions. Prevents applying the wrong strategy in the wrong environment, a primary edge destroyer.

Lesson 3 • Scalping and Intraday Strategies

Executes high-frequency, small-target trades within a single session. Demands superior execution speed, tight spreads, and strict daily loss limits.

Lesson 4 • Mean-Reversion and Counter-Trend Setups

Exploits overextended moves returning to equilibrium using oscillator extremes. Requires strict risk controls due to counter-trend nature of entries.

Lesson 5 • Breakout and Breakdown Trading

Trades price escaping consolidation zones with volume and momentum confirmation. Addresses false breakout filtering as the primary challenge of this strategy.

Lesson 1 • Single-Leg Directional Options Trades

Uses long calls, puts, and covered calls for leveraged directional exposure. Defines when buying options outperforms direct stock or futures positions.

Lesson 2 • Futures Trading Mechanics

Covers futures contract specs, margin, rollover, and basis risk management. Connects futures to underlying spot markets for arbitrage and hedging applications.

Lesson 3 • Implied Volatility and Pricing Edge

Compares implied vs. realised volatility to identify overpriced or underpriced options. Enables volatility-based edge independent of directional market view.

Lesson 4 • Options Pricing and the Greeks

Explains intrinsic value, time value, and the five Greeks driving option price. Mastery of Greeks is prerequisite for all multi-leg strategy construction.

Lesson 1 • Order Types and Execution Mechanics

Covers market, limit, stop, and conditional orders and their appropriate use cases. Directly impacts fill quality and slippage management in live trading.

Lesson 2 • Entry Timing and Confirmation

Refines entry to high-probability moments using confluence and trigger alignment. Reduces false entries by requiring multiple confirming signals before execution.

Lesson 3 • Execution Psychology and Discipline

Addresses hesitation, overtrading, and revenge trading as execution failures. Links psychological discipline directly to consistent plan adherence.

Lesson 4 • Trade Management During Live Positions

Defines rules for moving stops, taking partials, and adding to winners. Removes discretionary decisions that erode edge during open trade management.

Lesson 1 • Key Performance Metrics

Evaluates strategies using expectancy, Sharpe ratio, max drawdown, and profit factor. Enables objective comparison between competing strategy variants.

Lesson 2 • Forward Testing and Live Deployment

Transitions validated strategies from paper trading to live markets with reduced size. Defines performance benchmarks that trigger strategy review or retirement.

Lesson 3 • Manual and Automated Backtesting

Applies both chart-based manual review and code-driven automated testing methods. Covers data sourcing, look-ahead bias, and survivorship bias as critical pitfalls.

Lesson 4 • Defining a Tradable Edge

Articulates what constitutes a statistical edge and how to identify one. Prevents trading strategies based on anecdote rather than repeatable, measurable patterns.