Information Coefficient (IC): How to Measure Quant Signal Skill
The Information Coefficient (IC) measures how well a quant signal’s forecasts predict realized returns — rank vs Pearson IC, the link to the…
Quantitative Signal Research
In-depth explainers on signal attribution, alpha decay, market microstructure, and the methods quant teams use to keep their edge — sourced, and written for people who actually run the models.
The Information Coefficient (IC) measures how well a quant signal’s forecasts predict realized returns — rank vs Pearson IC, the link to the…
The Information Ratio (IR) measures active return per unit of active risk — how reliably a strategy beats its benchmark. What counts as a go…
Factor decay is the tendency of documented factor premia — value, size, momentum — to weaken once they are published and crowded. What the M…
Statistical arbitrage is a family of market-neutral strategies that profit from temporary, statistically identified mispricings between rela…
Pairs trading is the canonical statistical-arbitrage strategy: find two cointegrated securities, trade the spread between them when it diver…
What signal decay means and why it happens: how trading alpha fades over time, what drives the decline, and how to detect it before it costs…
Fundamentals
The working definitions and core methods behind micro-alpha research, so you can reason about weak signals on solid ground.
Machine Learning & Technology
How ML methods and the tooling behind them apply to signal detection, alpha research, and systematic execution.
Market Analysis
How signals behave once they meet live markets: impact, decay, liquidity, regime shifts, and cross-asset structure.
Portfolio Construction
How to turn a book of individual signals into one coherent portfolio: attribution, correlation, sizing, and risk.
Signal Research & Discovery
How to source, build, validate, and monitor predictive signals before they earn a place in a live book.
Strategy Implementation
Turning a validated signal into a live strategy: aggregation, execution, costs, backtesting, and the systems underneath.
Quant signal glossary
The vocabulary of quantitative signal research — each term defined precisely, cross-linked to the guides that use it.
Interactive tools
Explorables and calculators that make the concepts tangible — drag a slider and watch an information coefficient, a correlation matrix, or order-flow toxicity react in real time. No sign-up, nothing to install.
VPIN estimates the toxicity of order flow — the risk that liquidity providers are being adversely selected — from volume-bucketed trade imba…
Order flow imbalance measures the net buying pressure in the limit order book — and explains short-horizon price moves more reliably than tr…
Kyle’s lambda is the price-impact coefficient at the heart of market microstructure — how far the price moves per unit of net order flow. Wh…
The Amihud illiquidity ratio measures how much a security’s price moves per dollar traded, using nothing more than daily returns and volume.…
Fractional differentiation makes a price series stationary while preserving the maximum possible memory — resolving the dilemma that taking …
Pairs trading is the canonical statistical-arbitrage strategy: find two cointegrated securities, trade the spread between them when it diver…
Statistical arbitrage is a family of market-neutral strategies that profit from temporary, statistically identified mispricings between rela…
Factor decay is the tendency of documented factor premia — value, size, momentum — to weaken once they are published and crowded. What the M…
The Information Ratio (IR) measures active return per unit of active risk — how reliably a strategy beats its benchmark. What counts as a go…
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