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Finance Lessons
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Kelly & Geometric Growth

Two traders with the same average return can end up one rich and one broke. The difference isn't edge — it's how much they bet, and whether they grasp that what compounds is the geometric mean, not the arithmetic one. This is the math that turns an edge into wealth without turning it into ruin.

The mathematics of bet sizing and long-run compounding — why the geometric mean, not the average return, is what actually grows your money. Arithmetic vs geometric mean, volatility drag and the variance penalty, the Kelly criterion (f* = edge/odds), full vs fractional Kelly, continuous Kelly (f* = μ/σ²), the drawdown-vs-growth trade-off, multi-asset Kelly, and the ruin that waits past twice Kelly.

You have an edge — and a question that decides whether it makes you rich or broke: how much do you bet? Bet too little and your edge crawls; bet too much and the same winning edge still drags you to zero, because volatility eats geometric growth alive. There is exactly one bet size that compounds your money fastest, and the math behind it is one of finance’s most beautiful — and most abused — results.

Here’s what we’ll build, brick by brick:

This is where probability, compounding, and risk management fuse into one discipline. By the end you’ll size positions so your edge actually compounds — and understand in your bones why the trading graveyard is full of people who were right about the market and wrong about the bet.

In this topic

  1. 1 Arithmetic vs Geometric Mean Why the average return lies: a +50% gain and a −50% loss leave you poorer, the geometric mean is the only average that compounds, and the gap between the two means grows with volatility. 8 min
  2. 2 CAGR & Volatility Drag The variance penalty made precise: why compound growth g ≈ μ − σ²/2 sits below the average return, why two portfolios with the same mean compound differently, and how volatility silently taxes every strategy. 9 min
  3. 3 The Kelly Criterion Bet the fraction that maximizes long-run growth: deriving f* = p − q/b for a binary bet, why maximizing expected log-wealth is the right objective, fully worked coin-flip examples, and the growth curve that peaks at Kelly and goes negative past twice Kelly. 9 min
  4. 4 Continuous & Fractional Kelly Kelly for real markets: the continuous formula f* = μ/σ², why full Kelly swings so violently, and why half-Kelly keeps about three-quarters of the growth for half the volatility — the drawdown-vs-growth trade-off every practitioner makes. 9 min
  5. 5 Multi-Asset Kelly & Ruin Kelly across many bets at once: the vector formula f* = Σ⁻¹μ, how correlation reshapes optimal sizing, what leverage really costs, and the iron law of ruin — bet past twice Kelly and long-run growth turns negative no matter how big your edge. 9 min
  6. 6 Kelly & Geometric Growth — Final Exam The graded final exam for Kelly & Geometric Growth: arithmetic vs geometric mean, CAGR, volatility drag, the Kelly criterion, continuous and fractional Kelly, multi-asset Kelly, over-betting and ruin. 15 min

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