Glossary

Investing terms in plain English

Short explanations of the technical terms used across Momentum's insights. Start here when a phrase sounds familiar but not yet useful.

12-1 Momentum

Momentum measured from 12 months ago to 1 month ago.

Alpha

Return that comes from a strategy's edge, not just from broad market exposure.

API

A software interface that lets systems talk to each other.

Artificial Intelligence

Software that can help reason, write code, analyze data, and automate tasks.

Average Daily Volume

The typical amount of a security traded each day.

Backtest

A historical simulation of how a strategy would have behaved.

Balance Sheet

A snapshot of a company's assets, liabilities, and equity.

Basis Point

One hundredth of one percent.

Beta

Sensitivity to the broad market.

Bid-Ask Spread

The gap between the best buying price and best selling price.

Bootstrap Confidence Interval

An uncertainty range estimated by resampling the data.

Break of Structure

A move beyond a prior confirmed swing high or swing low.

Broker

A financial service that lets investors buy and sell securities.

Buyback

When a company repurchases its own shares.

Capacity

How much money a strategy can manage before returns degrade.

Capital Allocation

How management chooses to use the company's money.

Correlation

How closely two series move together.

Covariance

A measure of how two assets move together.

Cross-Sectional

Comparing many assets to each other at the same point in time.

CSV

A simple spreadsheet-style text file format.

Data Collection

The process of gathering the raw information a strategy will use.

Debt

Money a company has borrowed and must repay.

Decile

One of ten equal-ranked groups.

Diversification

Spreading risk across different assets or strategies.

Dividend

Cash paid by a company to shareholders.

Drawdown

The fall from a previous high to a later low.

Earnings

A company's accounting profit after costs, interest, and taxes.

Exponential Moving Average

A moving average that gives more weight to recent observations.

Fair Value Gap

A price-action zone where traders believe price moved too quickly through an area.

False Discovery Rate

A way to control false positives when testing many patterns.

Feature Engineering

Turning raw data into useful signals a model can understand.

Free Cash Flow

Cash left after a company pays to maintain and grow its business.

Fundamental Analysis

Assessing a company by studying its business, finances, and valuation.

Gross Exposure

Total long plus short exposure.

Hedge Fund

A professionally managed pool of capital that uses advanced strategies unavailable to retail funds.

Hedging

Taking an offsetting position to reduce a specific risk.

Inflation

A general rise in prices that reduces what money can buy.

Information Coefficient (IC)

How well a signal predicts future returns — measured as a correlation.

Leverage

Using borrowing or derivatives to increase exposure.

Limit Order

An order that trades only at a specified price or better.

Liquidity

How easily something can be traded without moving its price.

Liquidity Sweep

A move through a prior high or low that then closes back inside.

Long/Short

Owning expected winners and betting against expected losers.

Market Impact

The price movement caused by your own trade.

Market Microstructure

The mechanics of how trades actually happen.

Market-Neutral

A portfolio designed to have little exposure to broad market moves.

Mean Reversion

The tendency for an extreme move to drift back toward normal.

Momentum

The tendency for recent winners to keep outperforming for a while.

Net Exposure

Long exposure minus short exposure.

Newey-West

A statistical adjustment for noisy, autocorrelated return data.

Overfitting

When a model learns historical noise instead of a real pattern.

Paper Trading

Testing trades in a simulated account before using real money.

Point-in-Time Data

Data recorded as it was known at the time, without future revisions.

Portfolio Optimization

Choosing position sizes to balance expected return, risk, and constraints.

Principal Component Analysis

A method for finding common patterns in many variables.

Profit Factor

Gross profits divided by gross losses.

Profit Margin

How much profit a company keeps from each dollar of sales.

Purchasing Power

How much goods and services your money can buy.

R² (R-Squared)

The fraction of one variable's variance explained by another.

Real Estate

Property such as homes, apartments, offices, or land.

Rebalance

Updating portfolio positions on a schedule or when risk changes.

Regime

A market environment with a distinct behavior pattern.

Return on Equity

How much profit a company earns relative to shareholder equity.

Revenue Growth

How quickly a company's sales are increasing.

Reversal

The tendency for very recent moves to partially unwind.

Risk Model

A framework for estimating portfolio risk and shared exposures.

Seasonality

A pattern linked to the calendar.

Sector ETF

An ETF focused on one part of the economy.

Sharpe Ratio

Return per unit of volatility.

Shorting

Betting that a security will fall.

Slippage

The gap between the price you hoped to trade at and the price you actually get.

Smart Money Concepts

A price-action trading framework focused on structure, liquidity, and institutional-style zones.

Statistical Significance

Evidence that an observed result is unlikely to be random noise.

Systematic Strategy

An investing process run by explicit rules instead of discretionary judgment.

Trading Costs

All costs paid to enter and exit positions.

Train/Test Split

Separating history used to build a model from history used to evaluate it.

Turnover

How much of a portfolio is traded over a period.

Unconditional Mean

The simple average without extra filters or forecasts.

Valuation

Estimating what a company is worth compared with its current market price.

Volatility

How much returns move around.

Wald Test

A test of whether several estimated effects are jointly zero.

Walk-Forward Test

Repeatedly refitting a strategy on past data and evaluating it on later unseen data.

Winner-Minus-Loser

A spread between the strongest-ranked and weakest-ranked assets.