Pattern is
Everything

Have you noticed how the same shapes keep turning up in data and in price charts? The bell curve in market returns. Gradient descent rolling downhill. A head-and-shoulders pattern at a reversal. This site maps those recurring structures in 257 interactive, visual references across machine learning, statistics, and markets.

✦ Pattern of the day
Start here

Where to begin

Pattern trails

Follow one pattern across fields

All 7 trails
Universes

Pick your universe

Four worlds, ten collections, 257 interactive topics — machine learning, statistics, markets, and the patterns that connect them.

Machine Learning
118 topics across four collections — ML Math, LLM Engineering, MLOps, and Timeseries Engineering. From linear algebra to production deployment, with interactive visualizations and code.
118 Topics 4 Collections PyTorch
ML Math · LLM Engineering · MLOps · Timeseries
Statistics & Data Analytics
39 topics in The Toolkit — hypothesis testing, statistical foundations, EDA, cohorts, funnels, model evaluation, backtesting, and decision-making. Every topic with interactive visuals, formulas, and Python you can use today.
39 Topics 8 Sections pandas · scipy
Evaluate · Statistics · Analytics · Backtest · Decide · Python
Market Patterns
100 topics across four collections — Chart Patterns, Technical Indicators, Market Psychology, and Risk & Portfolio. Visual guides to the patterns that move markets.
100 Topics 4 Collections Charts
Chart Patterns · Indicators · Psychology · Risk & Portfolio
Pattern Essays
12 short, calm reflections on patterns that appear across the world — the bell curve, the long tail, feedback loops, survivorship bias, fractals, Simpson's paradox, and the Kalman filter. Each with an interactive visualization.
12 Essays 1 Collection Reflections
The Bell · The Tail · The Feedback Loop · The Fractal · The Kalman Filter
Real-Data Cases
4 practical mini-cases that connect the visual references to datasets, pipelines, metrics, failure modes, and notebook-ready starting points.
4 Cases Datasets Metrics
Fraud · Regression · Forecasting · Backtesting
The Model Lab
Nine language models put through the same fixed prompts and scored by deterministic checks — no model judging another. What they can do, what they will not hold on to, and five ways the measurement itself turned out to be lying.
9 Models 4 Suites Reproducible
Prompt injection · Refusal ladders · Measurement traps
Beyond the library

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