Statistics for investors
Practical guides on the statistics that matter when money is on the line. Position sizing, backtests, earnings, volatility, and diversification, each with worked examples and numbers you can verify.
Daily 7
Seven stocks to watch today, updated every weekday morning: why they are moving, catalysts, risks, and options angles.
Investing 101
From your first dollar to options, futures, and valuation: the complete beginner-to-advanced guide.
Why backtests lie
Overfitting and the multiple-comparisons problem: why the strategy that “worked” on historical data usually did not.
The earnings beat is mostly noise
Why quarterly earnings surprises barely move long-run returns, and the two questions that separate signal from noise.
Position sizing without blowing up
Expected value, base rates, and the Kelly fraction: how much to risk on any idea.
Volatility, drawdown, and what “annualized” hides
A single return number conceals the ride you actually take.
Correlation is not diversification
What actually lowers portfolio risk, and what just looks like it does.
The Investor Stats Cheat Sheet
A free three-page PDF: breakeven win rates, stop-loss sizing, volatility drag, reverse valuation, and how to tell a real track record from noise. Plus new tools as they ship.