Quant Memo
The quant research archive: a structured database and newsletter for quantitative finance strategies, systematic investing, and objective market research.
We democratize quant knowledge. Learn and reference here. To invest systematically, see Quant Native.
Latest Memo
Memo 1: Purpose
Why Quant Memo exists: structural gaps in quantitative investing and the role of discipline, structure, and transparent systematic logic.
2026-02-24
Pulse
Prediction market odds: finance, crypto, macro. From Polymarket & Kalshi.
Popular Strategies
Good EPS (Rising Earnings + Cheap P/E)
Screen for names where TTM EPS is rising quarter-over-quarter and current P/E is below its historical median—then investigate why mispricing may exist.
Bottom 300 (Lowest Price Buckets)
Bucket stocks by lowest price rank and test returns under realistic liquidity + circuit constraints.
Cross-Market Arbitrage (Prediction Markets × Crypto Derivatives)
Exploit pricing inefficiencies between prediction markets and crypto derivatives across exchanges.
Core Concepts
Risk ratios for backtesting
Excess return over a benchmark after accounting for beta; a measure of skill or edge in backtesting.
Beta (β)Sensitivity of strategy returns to a benchmark; measures systematic (market) risk in backtesting.
Calmar RatioAnnualized return divided by maximum drawdown; emphasizes drawdown risk in backtesting.
Information RatioActive return per unit of tracking error; measures excess performance vs a benchmark in backtesting.
Max DrawdownLargest peak-to-trough decline in cumulative equity; a key risk metric for backtesting and live performance.
Sharpe RatioReturn per unit of total risk (volatility); the standard risk-adjusted performance metric for backtesting.
Portfolio optimization
Two common portfolio weighting schemes; equal weight often tilts toward smaller names and can improve diversification.
Hierarchical Risk Parity (López de Prado)Portfolio construction that uses a hierarchical clustering of assets to allocate risk more evenly and robustly.
MPT (Harry Markowitz)Mean–variance portfolio theory: optimal diversification by balancing expected return and variance.
Position SizingRules for how much capital to allocate per trade or asset (equal weight, risk parity, Kelly, etc.).
Want to invest systematically?
Quant Memo is for learning and reference. Quant Native is the execution and investing platform.