Resources & Further Reading

AlgoDrill's flashcards distill the standard algorithmic-trading literature — they're a memory aid, not a substitute for the source texts. Below are the books worth owning and the canonical references for the statistical tests the cards name, so you can verify any claim and go deeper.

Recommended books

Four texts that cover what these decks drill — the two core archetypes, the discipline of an honest backtest, and the microstructure costs that decide whether an edge survives live.

• Book · WileyAffiliate
  Algorithmic Trading: Winning Strategies and Their Rationale — Ernest P. Chan

  The practitioner's guide to mean reversion and momentum — the scientific method applied to testing each archetype, with a hard line against over-fitting.

• Book · WileyAffiliate
  Quantitative Trading — Ernest P. Chan

  The end-to-end on-ramp for the independent quant: sourcing strategies, backtesting honestly, and the operational mechanics of running the business. Python & R examples.

• Book · WileyAffiliate
  Advances in Financial Machine Learning — Marcos López de Prado

  The modern reference on backtest validity — overfitting, the Deflated Sharpe Ratio, walk-forward and combinatorial cross-validation. The antidote to backtest self-deception.

• Book · Oxford University PressAffiliate
  Trading and Exchanges — Larry Harris

  The standard text on market microstructure — order types, liquidity, and the market-impact costs that quietly decide whether a thin-edge strategy survives contact with live markets.

Official references

Free, authoritative sources. The named statistical tests in the deck (ADF, Engle-Granger cointegration) link to their canonical library docs; QuantConnect's docs show how backtesting and execution are wired in real code.

• Docs · QuantConnectFree
  QuantConnect Documentation

  Open documentation for the LEAN engine — a production-grade reference for how backtesting, data handling, and live execution are actually implemented.

• Reference · statsmodelsFree
  Augmented Dickey-Fuller (adfuller) · Engle-Granger cointegration (coint)

  The canonical implementation references for the stationarity test behind mean reversion and the two-step cointegration test behind pairs trading and stat-arb.

How we cite

Cards in the study deck carry a source link on their back — trace any strategy or test straight to the text or the library it comes from. The goal is simple: you should never have to take a flashcard's word for it. AlgoDrill is educational only and never executes trades or holds API keys.

Book links above are affiliate links; the official references are free and carry no affiliate relationship.