QUANT BLOG

Evidence-based options methodology

A growing library on how to properly design, test and interpret options strategies.

Latest articles

Statistics

The Deflated Sharpe Ratio

The Sharpe ratio tells you return per unit of volatility. It does not tell you how many strategies you tried before you found this one — which is exactly what the Deflated Sharpe Ratio corrects for.

· 6 min read

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Articles in the pipeline — published here as they're written.

Market research

How to design an event study that doesn't lie to you

Defining the event, the window and the universe before you look at the answer — the difference between research and data mining.

In writing · 7 min read

Statistics

The sample-size trap in earnings studies

A single stock gives you a few dozen earnings events. Why that hit rate tells you almost nothing, and how to widen the sample honestly.

In writing · 6 min read

Backtesting

Why end-of-day options data flatters every backtest

Mid-price fills on daily bars can turn a losing spread strategy into a beautiful equity curve. Here's how to quantify the damage.

In writing · 8 min read

Statistics

How many trades before a result means anything?

A practical guide to sample size, confidence intervals and the point at which a win rate stops being noise.

In writing · 6 min read

Risk

Position sizing for defined-risk options strategies

From fixed fractional to volatility-scaled sizing, and why max drawdown is the number that decides whether you can keep trading.

In writing · 9 min read

Market structure

Reading the options chain like a market maker

Spreads, quote depth and where your fill actually lands — the microstructure details that decide net edge.

In writing · 7 min read

Backtesting

Regime analysis: the test most retail strategies fail

Splitting results by volatility and rate regime is the fastest way to find out whether you have an edge or a lucky sample.

In writing · 10 min read

Product

Writing strategy descriptions the AI understands

Patterns and phrasing that produce precise, unambiguous backtest specs on the first try.

In writing · 5 min read

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