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The open field guide to quantitative finance.

5,806 strategy specs with full source. A curriculum from probability to execution. Interview practice, live calculators, and a straight path from idea to a working system. Free, open source, no sign-up.

Try: market making · Kelly · Black–Scholes · daily five

dS = μS dt + σS dW

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Contents

  1. Strategy vaultevery spec searchable by style, indicator, timeframe5,806 specs
  2. Curriculumseven tracks, probability to microstructure31 lessons
  3. Practice bankinterview questions with instant checking79 questions
  4. Calculatorsoptions, Monte Carlo, Kelly, sizing, Sharpe6 tools
  5. Glossaryplain-language definitions, linked to lessons89 terms
  6. Buildturn any spec into a tested, risk-gated system/agenkit

Inside the vault

5,806 specs from 143 authors, classified by what they actually trade on. Click a bar to browse that style.

Spec of the day

1 Profit Moving Average Cross Strategy

This strategy generates buy signals when a fast moving average (Fast MA) crosses above a slow moving average (Slow MA). It also takes profit when the returns reach 1% to lock in small but consistent profits. The…

Pine Script · Trend following · 3d · ChaoZhang

/agenkit build a production-grade trading bot with a backtest engine, risk controls and paper trading by default from strategies/1-Profit-Moving-Average-Cross-Strategy.md

Learn the maths behind it

Original lessons with the formulas written out, worked examples, and the mistakes people actually make.

  1. IProbability & mathematical foundationsE[X] = Σ x·p(x)4 lessons
  2. IIStatistics & time seriest = μ̂ / (σ̂/√n)4 lessons
  3. IIIPortfolio construction & riskSR = (μ − r) / σ5 lessons
  4. IVDerivatives & volatilitydS = μS dt + σS dW4 lessons
  5. VSystematic strategiesdX = θ(μ − X) dt + σ dW5 lessons
  6. VIBacktesting, ML & going liveP(overfit) ↑ with trials5 lessons
  7. VIIMarket microstructure & executionΔp ≈ σ·√(Q/V)4 lessons
  8. Open the curriculum31 lessons · about 5 hours

One question, right now

A fresh warm-up every day. Solve it to start a streak; the daily five and the 60-second sprint keep it going.

Found an edge? Ship it like a team would.

A strategy spec is maybe a tenth of a trading system. AgenKit puts a specialist AI engineering team inside Claude Code, Cursor, Codex and 4 more tools — architecture, test-first build, risk gates and review — driven by one command.

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  1. Orient — index codebase & spec
  2. Brainstorm — clarify venues, limits, done
  3. Architecture — order lifecycle, idempotency
  4. Build — failing test → green → refactor
  5. Review — spec ✓ then code quality ✓
  6. Ship — CI, deploy, paper trading on

Free. Open source. Yours to improve.

No paywall, no account, no tracking. Your progress lives in your browser. The code, lessons and questions are on GitHub under MIT, and the strategy specs come from the open Quant Trading Vault. Found a wrong formula? That’s the most valuable pull request there is.

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