Algorithmic Crypto Trading
Master systematic trading from the ground up. Each part builds on the last. The principles carry across markets; the worked examples use crypto.
Algorithmic Crypto Trading
Master systematic trading from the ground up. Each part builds on the last, taking you from fundamentals to advanced strategies. The principles carry across markets; the worked examples use crypto.
Algorithmic Crypto Trading I: Trading vs. Hodling
Part 1 of 16. How a simple 50-day moving average beats buy-and-hold Bitcoin by 5x. The foundations series opens with the case for systematic trading.
Algorithmic Crypto Trading II: Volatility Is the Edge
Part 2 of 16. Why crypto's volatility is a structural edge for systematic strategies, not a risk to avoid. The opportunity passive allocation misses.
Algorithmic Crypto Trading III: Trading Approaches
Part 3 of 16. The three core systematic approaches: trend following, mean reversion, and breakout trading. What each captures, where each breaks down.
Algorithmic Crypto Trading IV: Trend Following
Part 4 of 16. The foundations of trend following: how to identify, enter, ride and exit trends systematically in crypto markets. With worked examples.
Algorithmic Crypto Trading V: Mean Reversion
Part 5 of 16. Mean reversion in crypto: when prices stretch beyond fair value, the conditions that signal a reversion trade, and the systematic rules.
Algorithmic Crypto Trading VI: Breakout Trading
Part 6 of 16. Breakout trading systematically: identifying high-quality price breaks, position sizing the entry, and avoiding the false-breakout trap.
Algorithmic Crypto Trading VII: Regime Filter
Part 7 of 16. Regime filters: how to systematically detect bull, bear, and sideways markets and switch between trend-following and mean-reversion.
Algorithmic Crypto Trading VIII: Risk of Ruin
Part 8 of 16. Risk of ruin: the math behind drawdown survivability, why position sizing matters more than win rate, and how to never blow up.
Algorithmic Crypto Trading IX: Martingale vs. Anti-Martingale
Part 9 of 16. Martingale vs anti-martingale position sizing: why pyramiding into winners (not losers) is the right systematic playbook.
Algorithmic Crypto Trading X: Trading Biases
Part 10 of 16. The biases that ruin backtests: survivorship, hindsight, look-ahead, curve-fitting, and how to design systematic strategies without them.
Algorithmic Crypto Trading XI: Position Sizing
Part 11 of 16. Position sizing in systematic trading: fixed-fractional, volatility-targeted, and inverse-volatility methods compared with worked examples.
Algorithmic Crypto Trading XII: Building a Profitable Strategy
Part 12 of 16. Building a systematic crypto strategy from idea to fixed rules: the design process beyond indicator stacking and overfitting.
Algorithmic Crypto Trading XIII: Robustness Testing
Part 13 of 16. Robustness testing for systematic strategies: walk-forward, parameter sensitivity, out-of-sample validation, and the criteria for survival.
Algorithmic Crypto Trading XIV: Portfolio Construction
Part 14 of 16. Combining systematic strategies into a portfolio: correlation analysis, capital allocation, and rebalancing for stable compound returns.
Algorithmic Crypto Trading XV: Drawdowns
Part 15 of 16. Drawdowns as a structural feature of systematic trading: depth, duration, and the math of recovery that allocators need to understand.
Algorithmic Crypto Trading XVI: The Power of Compounding
Part 16 of 16. Why compounding rewards lower volatility, and how the math of geometric returns penalises drawdowns more than equal gains compensate.