Trading Course

Lesson 1 • How Prices Are Determined

Covers supply-demand dynamics, order flow, and auction theory as price drivers. Connects market microstructure to observable price movement.

Lesson 2 • Trading Sessions and Market Hours

Maps global trading sessions and their overlapping liquidity windows. Helps traders align strategy timing with peak market activity.

Lesson 3 • Market Structure and Participants

Explains who operates in markets and how their roles interact to create liquidity. Establishes the ecosystem context needed for all subsequent trading concepts.

Lesson 4 • Asset Classes Overview

Surveys equities, fixed income, commodities, currencies, and derivatives. Provides the vocabulary and conceptual map for selecting instruments to trade.

Lesson 1 • Volume Analysis Basics

Integrates volume with price action to confirm or question breakouts and trends. Volume context reduces false signals in pattern-based trading.

Lesson 2 • Support, Resistance, and Key Levels

Teaches identification of horizontal levels, round numbers, and prior highs and lows. These levels form the structural framework for entry and exit decisions.

Lesson 3 • Chart Types and Timeframes

Introduces candlestick, bar, and line charts alongside multi-timeframe analysis. Establishes the visual language used throughout all technical analysis work.

Lesson 4 • Chart Patterns and Formations

Analyses classical formations including triangles, flags, and head-and-shoulders. Students learn to project price targets from pattern breakouts.

Lesson 5 • Candlestick Patterns

Covers high-probability single and multi-candle reversal and continuation patterns. Pattern recognition is applied directly to trade entry timing.

Lesson 1 • Moving Averages and Trend Tools

Covers simple, exponential, and weighted moving averages as trend filters and dynamic support. Connects indicator output directly to trend-following trade logic.

Lesson 2 • Indicator Combinations and Avoiding Redundancy

Demonstrates how to build non-redundant indicator stacks that confirm signals across categories. Prevents the common error of stacking correlated indicators.

Lesson 3 • Momentum and Oscillator Indicators

Teaches RSI, MACD, and Stochastic as momentum gauges and divergence detectors. Oscillators complement trend tools by identifying overbought and oversold conditions.

Lesson 4 • Fibonacci and Geometric Tools

Applies Fibonacci retracements, extensions, and time zones to price structure. These tools provide objective level projections for entries and targets.

Lesson 1 • Interest Rates and Bond Markets

Explains how rate decisions and yield curves influence equities, currencies, and commodities. Rate sensitivity is a core macro filter for multi-asset traders.

Lesson 2 • Macroeconomic Drivers of Price

Links GDP, inflation, employment, and central bank policy to asset price direction. Macro context sets the directional bias that technical analysis then refines.

Lesson 3 • News Trading and Event Risk

Prepares traders to manage scheduled high-impact events and unexpected news shocks. Event risk management prevents catastrophic losses during volatile releases.

Lesson 4 • Combining Fundamentals with Technicals

Integrates top-down macro analysis with chart-level entry precision. The combined approach improves trade conviction and reduces false entries.

Lesson 1 • Portfolio and Correlation Risk

Addresses correlated positions, sector concentration, and overall portfolio heat. Traders learn to limit simultaneous exposure to the same underlying risk factor.

Lesson 2 • Stop Loss Placement Strategies

Covers structure-based, ATR-based, and time-based stop methods for different trade types. Proper stop placement balances protection with room for normal price fluctuation.

Lesson 3 • Reward-to-Risk Ratio Management

Defines minimum acceptable reward-to-risk thresholds and target-setting methods. Maintaining positive expectancy over a trade series is the goal.

Lesson 4 • Position Sizing Methods

Teaches fixed-dollar, percentage-risk, and volatility-adjusted sizing models. Consistent sizing prevents single trades from disproportionately impacting the account.

Lesson 1 • Building a Trade Plan

Defines the components of a complete trade plan including thesis, entry trigger, and invalidation. A written plan removes emotion from in-the-moment execution decisions.

Lesson 2 • Order Types and Execution Tactics

Covers market, limit, stop, and conditional orders and when to use each. Execution quality directly affects realised profit and loss on every trade.

Lesson 3 • Trade Journaling and Review

Establishes a systematic journaling process capturing entry rationale, screenshots, and outcomes. Regular review converts raw trade data into actionable performance insights.

Lesson 4 • Entry Timing and Confirmation

Teaches patience-based entry methods including candle close confirmation and retest entries. Precise timing reduces average entry cost and improves reward-to-risk.

Lesson 1 • Backtesting and Historical Validation

Applies manual and software-assisted backtesting to measure strategy performance on historical data. Backtesting reveals expectancy, drawdown, and robustness before risking capital.

Lesson 2 • Forward Testing and Live Deployment

Transitions strategies from backtesting to paper trading and then to live markets with small size. Forward testing confirms that historical edge persists in real-time conditions.

Lesson 3 • Trend-Following Strategy Design

Constructs a rules-based trend-following system using moving averages and momentum filters. Trend-following strategies capture large directional moves with defined risk.

Lesson 4 • Mean Reversion Strategy Design

Builds a mean reversion system targeting overextended price moves back to equilibrium. Contrasts with trend-following in holding period, win rate, and risk profile.

Lesson 1 • Adaptive Strategy Management

Teaches how to detect regime changes and adjust strategy parameters or pause trading accordingly. Adaptive management prevents large drawdowns during unfavourable market conditions.

Lesson 2 • Performance Analytics and Edge Measurement

Applies statistical tools to quantify edge, consistency, and areas of underperformance. Data-driven self-assessment replaces subjective evaluation of trading results.

Lesson 3 • Scaling and Professional Growth

Covers capital scaling, proprietary trading structures, and transitioning to professional trading. Students map a realistic path from consistent retail trader to professional operator.

Lesson 4 • Intermarket Analysis

Analyses relationships between equities, bonds, commodities, and currencies to anticipate cross-asset moves. Intermarket signals provide early warning of trend changes in primary markets.