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.

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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.

Start from Part 1
1

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.

2

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.

3

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.

4

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.

5

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.

6

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.

7

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.

8

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.

9

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.

10

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.

11

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.

12

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.

13

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.

14

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.

15

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.

16

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.