Plain-English definitions of the trading, investing, and AI terms we use in our daily model analyses. Every term has a formal definition, a simple explanation, a concrete example, and related concepts.
52-Week HighThe highest price at which a stock has traded in the past year.
AI AgentAn AI system that plans and takes actions toward a goal over multiple steps.
AI BenchmarkA standardized test that compares AI models on the same task under identical conditions.
AI Financial ReasoningA model's ability to analyze markets, weigh evidence, manage risk, and justify its decisions.
AI Model EvaluationJudging an AI model on the quality of its decisions, not just its final output.
AI TradingUsing artificial intelligence systems to make or assist trading decisions.
AlphaThe excess return of an investment above its risk-adjusted benchmark.
Bear MarketA prolonged market decline of 20% or more from recent highs.
BetaA measure of a stock's volatility relative to the broader market.
BreakoutWhen a stock's price pushes decisively through a support or resistance level.
Bull MarketA sustained period of rising stock prices and optimism.
Calmar RatioAnnualized return divided by maximum drawdown, a return-to-pain measure.
CapitulationA panic wave of selling that often marks a market bottom.
Context WindowThe maximum amount of text, measured in tokens, a model can consider at once.
CorrelationA measure of how closely two assets' prices move together, from -1 to +1.
DiversificationSpreading investments across many assets to reduce overall risk.
Dividend AristocratAn S&P 500 company that has raised its dividend for 25+ consecutive years.
Dividend YieldAnnual dividends per share divided by share price, expressed as a percentage.
DrawdownThe peak-to-trough decline of a portfolio or stock before it reaches a new high.
EmbeddingA list of numbers that represents the meaning of text so software can compare it.
Enterprise ValueA company's total value including debt and net of cash.
EPSEarnings Per Share: a company's net profit divided by outstanding shares.
Fine-TuningFurther training a general model on specialized data to adapt it to a task.
Free Cash FlowThe cash a company generates after funding operations and capital spending.
Fundamental AnalysisEvaluating a stock based on a company's financial statements and business prospects.
GroundingTying a model's claims to real evidence so its output can be checked against the facts.
HallucinationWhen a model states something confidently that is false or unsupported by its data.
InferenceRunning a trained model to produce an output from a given input.
Intrinsic ValueThe estimated true value of a business based on fundamentals, independent of market price.
LiquidityHow easily an asset can be bought or sold without moving its price.
MACDA trend-and-momentum indicator built from the difference of two moving averages.
Margin of SafetyThe discount between a stock's market price and its estimated intrinsic value.