Advanced Cryptocurrency Trading Course

Lesson 1 • Blockchain and Distributed Ledger Basics

Covers consensus mechanisms, block validation, and transaction finality. Anchors all subsequent trading concepts in the technical reality of how assets settle.

Lesson 2 • Exchange Architecture and Order Books

Explains centralized and decentralized exchange mechanics, fee structures, and liquidity depth. Directly informs order placement strategy covered in later chapters.

Lesson 3 • Crypto Market Cycles and Macro Drivers

Identifies halving cycles, liquidity conditions, and macro correlations that shape multi-month trends. Sets context for the technical and fundamental analysis chapters ahead.

Lesson 4 • Crypto Asset Classification

Distinguishes layer-1 coins, utility tokens, stablecoins, and governance tokens. Enables traders to assess risk profiles before position entry.

Lesson 1 • Momentum and Oscillator Tools

Uses RSI, Stochastic, and CCI to time entries within established trends. Connects overbought/oversold readings to the structural levels identified earlier.

Lesson 2 • Candlestick Patterns and Price Action

Teaches single and multi-candle formations and their probabilistic implications. Forms the visual language used throughout all subsequent analysis sections.

Lesson 3 • Support, Resistance, and Market Structure

Defines swing highs, swing lows, and structural breaks as the backbone of trend identification. Directly feeds into entry and stop-loss placement logic.

Lesson 4 • Volume Analysis and On-Chain Metrics

Integrates exchange volume, open interest, and on-chain flow data to validate price signals. Bridges traditional TA with crypto-native data sources.

Lesson 1 • Tokenomics and Supply Mechanics

Analyses emission schedules, vesting cliffs, and circulating supply dynamics. Reveals structural price pressures invisible on price charts alone.

Lesson 2 • Regulatory and Macro Fundamental Factors

Tracks enforcement actions, central bank policy, and institutional adoption as fundamental catalysts. Prepares traders to anticipate macro-driven volatility events.

Lesson 3 • Protocol Revenue and Valuation Models

Applies price-to-earnings, price-to-fees, and total value locked ratios to crypto assets. Enables relative valuation across competing protocols.

Lesson 4 • Team, Roadmap, and Ecosystem Assessment

Evaluates developer activity, partnership quality, and milestone delivery history. Filters high-risk projects before capital is committed.

Lesson 1 • Position Sizing Models

Applies fixed fractional, Kelly criterion, and volatility-adjusted sizing to crypto portfolios. Matches bet size to conviction level and account stage.

Lesson 2 • Portfolio Heat and Correlation Control

Limits simultaneous correlated exposure across positions to control total portfolio risk. Prevents single-event wipeout common in high-correlation crypto markets.

Lesson 3 • Stop-Loss Placement and Management

Defines structural, volatility-based, and time-based stop strategies. Eliminates arbitrary stop placement that leads to premature exits or catastrophic losses.

Lesson 4 • Risk-Reward Framework and Trade Planning

Establishes minimum risk-reward thresholds and pre-trade checklists. Prevents emotional decision-making by requiring quantified justification before entry.

Lesson 1 • Backtesting and Forward Testing Methods

Validates strategies using historical data and walk-forward analysis to avoid overfitting. Produces performance metrics that guide live deployment decisions.

Lesson 2 • Strategy Rules Documentation

Formalises entry conditions, exit rules, and filters into a written trading plan. Removes discretion and enables consistent backtesting and forward testing.

Lesson 3 • Mean-Reversion and Range Trading

Applies Bollinger Bands, RSI extremes, and VWAP deviation to fade overextended moves. Suited to sideways market conditions identified in the market cycle chapter.

Lesson 4 • Breakout and Momentum Strategies

Designs range breakout and volume-confirmed momentum systems suited to crypto volatility. Addresses false breakout filtering as a core challenge.

Lesson 1 • Crypto Options Fundamentals

Introduces calls, puts, Greeks, and implied volatility in the context of crypto option markets. Enables basic directional and volatility trades using options.

Lesson 2 • Perpetual Futures Mechanics

Explains funding rates, mark price, and liquidation engines unique to crypto perpetuals. Prevents costly misunderstandings that cause unnecessary liquidations.

Lesson 3 • Hedging Spot Positions with Derivatives

Uses short futures and put options to offset downside risk on spot holdings. Demonstrates cost-benefit analysis of hedging vs. outright exit.

Lesson 4 • Options Strategies for Traders

Constructs covered calls, protective puts, straddles, and spreads for crypto portfolios. Matches strategy selection to market regime and volatility environment.

Lesson 1 • Liquidity Provision as a Trading Strategy

Evaluates fee income, impermanent loss, and rebalancing costs to assess LP profitability. Treats liquidity provision as an active position requiring ongoing management.

Lesson 2 • Automated Market Maker Mechanics

Explains constant-product formulas, liquidity pool pricing, and impermanent loss mathematics. Essential foundation for all DeFi liquidity and arbitrage strategies.

Lesson 3 • On-Chain Arbitrage and MEV Awareness

Identifies cross-DEX price discrepancies and explains miner-extractable value dynamics. Helps traders protect themselves from sandwich attacks and front-running.

Lesson 4 • Smart Contract and Protocol Risk Assessment

Evaluates audit quality, TVL concentration, admin key risk, and exploit history before capital deployment. Integrates DeFi-specific risk into the portfolio heat framework.

Lesson 1 • Institutional Execution and Order Management

Applies TWAP, VWAP, and iceberg order techniques to minimise market impact on large positions. Bridges retail skill sets to institutional execution standards.

Lesson 2 • Multi-Strategy Portfolio Construction

Allocates capital across uncorrelated strategies to smooth equity curves and improve Sharpe ratios. Applies modern portfolio theory adapted for crypto's non-normal return distributions.

Lesson 3 • Long-Term Capital Growth Planning

Models compounding trajectories, withdrawal strategies, and tax-efficient realisation timing. Connects trading performance to long-term wealth accumulation goals.

Lesson 4 • Adaptive Strategy Management

Defines rules for activating, pausing, and retiring strategies based on regime detection signals. Prevents over-optimisation while maintaining responsiveness to structural market changes.