Investment research glossary
Plain-language definitions of the terms boutique RIAs, quantitative architects, and independent analysts use every day - from fundamental analysis basics to the automation concepts behind modern research workflows.
Alpha
Alpha measures the return an investment generates above what a benchmark (like the S&P 500) would have produced on its own. A positive alpha means a strategy is beating the market after adjusting for risk; a negative alpha means it is underperforming. Analysts often use alpha to judge whether a stock-picking process - including automated ones - is actually adding value.
Analyst Consensus Estimate
The analyst consensus is the average forecast (for earnings, revenue, price targets, and more) across all the Wall Street analysts covering a stock. It is a quick way to see what "the Street" expects, and it is commonly used as a baseline to compare against a company's actual results or your own independent research.
Automated Stock Screening
Automated stock screening applies a set of rules - valuation, growth, momentum, or custom signals - across an entire universe of stocks without manual review of each name. Instead of running the same screen by hand every week, an analyst sets it up once and lets it run on a schedule, surfacing only the stocks that pass.
See how the pipeline canvas worksBacktesting
Backtesting applies an investment strategy to historical data to see how it would have performed in the past. It is a sanity check before committing real capital, though a strong backtest does not guarantee future results - market conditions change, and past patterns do not always repeat.
Why backtested screens fail liveBenchmark
A benchmark is a reference index or portfolio (such as the S&P 500 or QQQ) used to judge whether an investment or strategy is performing well. "Beating the benchmark" is the standard bar for whether active research and stock selection is worth the effort compared to just buying the index.
Buy-Side vs. Sell-Side Research
Buy-side research is done by the firms actually investing the money - RIAs, hedge funds, asset managers - to inform their own decisions. Sell-side research is produced by banks and brokerages and distributed to clients, often to support trading and banking relationships. The buy side tends to value proprietary, defensible research it can act on directly, which is why many buy-side teams build or automate their own screening process rather than relying solely on sell-side reports.
Drawdown
A drawdown is the percentage decline from a stock's or portfolio's peak value to its subsequent low, before it recovers. Analysts use drawdown thresholds (e.g., "stocks down 10%+ from their high") as a signal for potential buying opportunities - or as a risk metric to size and manage positions.
Earnings Call Transcript
An earnings call transcript is the written record of a company's quarterly conference call with analysts and investors, covering results, forward guidance, and Q&A. Beyond the numbers, transcripts are a rich source of qualitative signal - management tone, recurring language, and what questions executives dodge can all say as much as the reported figures.
Analyzing earnings calls at scaleEconomic Moat
An economic moat is a company's sustainable competitive advantage - brand strength, network effects, switching costs, patents, or scale - that protects its profits from competitors over the long run. Investors focused on quality companies often screen specifically for businesses with a durable moat rather than just cheap valuations.
EV/EBITDA
Enterprise Value to EBITDA is a valuation multiple that compares a company's total value (market cap plus debt, minus cash) to its earnings before interest, taxes, depreciation, and amortization. It is widely used because it is less distorted by differences in debt levels or accounting choices than simpler metrics like the P/E ratio, making it useful for comparing companies across an industry.
Factor Investing
Factor investing targets specific, well-documented drivers of returns - such as value, momentum, quality, or low volatility - rather than picking individual stocks purely on narrative. Screens built around factors (e.g., "high ROIC and positive earnings revisions") are a systematic way to apply this approach across a large universe of stocks.
FCF (Free Cash Flow)
Free cash flow is the cash a company generates from operations after subtracting capital expenditures - the money actually left over to pay down debt, return to shareholders, or reinvest. Because it is harder to manipulate than reported earnings, FCF is a favorite metric for screening and scoring the underlying health of a business.
Form 4 (Insider Trading Filing)
A Form 4 is the SEC filing that officers, directors, and large shareholders must submit within two business days of buying or selling their company's stock. Tracking Form 4 filings across a universe of stocks is a common way to spot clusters of insider buying - often read as a vote of confidence from the people who know the business best.
Form 4 transaction codes explainedFRED (Federal Reserve Economic Data)
FRED is a free database maintained by the Federal Reserve Bank of St. Louis containing hundreds of thousands of macroeconomic time series - interest rates, inflation, employment, GDP, and more. Analysts pull FRED data into their models and screens to account for the broader economic backdrop, not just company-specific fundamentals.
Fundamental Analysis
Fundamental analysis evaluates a company's intrinsic worth by examining its financial statements, competitive position, management, and industry - as opposed to relying on price charts alone. It is the foundation for most long-term investment research, whether done manually line by line or automated through screening and scoring rules.
Insider Trading Signal
An insider trading signal is a data point derived from Form 4 filings - such as the size, timing, or clustering of insider buys and sells - used as an input to a broader research process. It is rarely used alone, but combined with fundamentals and valuation, it can help confirm or challenge a thesis.
The cluster insider-buying signalIntrinsic Value
Intrinsic value is an estimate of what a company is actually worth based on its fundamentals - cash flows, growth, and risk - independent of its current market price. Comparing intrinsic value to market price is the basis of value investing: buy when the market price is meaningfully below your estimate of intrinsic value.
Margin of Safety
Margin of safety is the cushion between a stock's estimated intrinsic value and the price you actually pay for it. A larger margin of safety protects against errors in your analysis or unexpected bad news, which is why many value-oriented screens explicitly filter for stocks trading well below estimated fair value.
No-Code Investment Research
No-code investment research refers to tools that let analysts build screening, scoring, and analysis workflows by configuring rules and logic visually - without writing scripts or maintaining a codebase. It lowers the barrier to running sophisticated, repeatable research for teams that do not have dedicated engineering resources.
How the research engine worksP/E Ratio (Price-to-Earnings)
The P/E ratio divides a company's stock price by its earnings per share, showing how much investors are paying for each dollar of profit. It is one of the most widely used (and most widely misused) valuation shortcuts - useful for quick comparisons within an industry, but easily distorted by one-time items or differing growth rates.
PEG Ratio
The PEG ratio divides the P/E ratio by a company's expected earnings growth rate, adjusting the standard valuation multiple for how fast a company is growing. A lower PEG can suggest a stock is undervalued relative to its growth prospects, making it a common secondary filter after an initial P/E screen.
Quantitative Analysis
Quantitative analysis uses statistical and mathematical models - rather than qualitative judgment alone - to evaluate securities and test strategies. It ranges from simple ratio-based screens to complex multi-factor models, and it is the backbone of any systematic, rules-based approach to research.
Which AI is best for equity researchReproducible Audit Log
A reproducible audit log records every step of an automated research process - what data was pulled, what logic was applied, and what output was produced - so the result can be traced and re-verified later. This kind of transparency matters especially for RIAs and advisors who need to document and defend their research process, not just their conclusions.
Research Pipeline
A research pipeline is a defined, repeatable sequence of steps - connecting data, applying filters, scoring candidates, and running analysis - that turns an investment thesis into a ranked output automatically. Building the pipeline once and running it on a schedule is the core alternative to re-doing the same manual research every week.
Explore the productReturn on Invested Capital (ROIC)
ROIC measures how efficiently a company turns the capital invested in it (debt plus equity) into profit. A consistently high ROIC, especially relative to a company's cost of capital, is one of the clearest quantitative signals of a well-run, competitively advantaged business - and a common scoring criterion in quality-focused screens.
RIA (Registered Investment Advisor)
An RIA is a firm or individual registered with the SEC or state regulators to provide investment advice for a fee, held to a fiduciary standard. Boutique RIAs in particular often need institutional-quality research capabilities without the budget for a large in-house research team, which is where automated and no-code tools fill the gap.
Cutonce for boutique RIAsRules-Based Investing
Rules-based investing means following a predefined, explicit set of criteria to make decisions - rather than discretionary, case-by-case judgment calls. It removes emotion and inconsistency from the process and makes a strategy easy to test, tune, and repeat at scale across an entire universe of stocks.
Scoring Model
A scoring model assigns a numerical score to each stock in a universe based on a weighted combination of factors - such as valuation, growth, quality, and sentiment - so candidates can be ranked against each other. It turns a qualitative thesis ("I like quality companies trading cheap") into a consistent, comparable number across hundreds of names at once.
The node librarySEC EDGAR
EDGAR (Electronic Data Gathering, Analysis, and Retrieval) is the SEC's public database of company filings, including 10-Ks, 10-Qs, and Form 4s. It is the primary source of record for verified financial and ownership data, and most serious fundamental research - automated or manual - traces back to it.
Monitoring 8-K filings at scaleSignal
In investing, a signal is any single data point or pattern used as input to a decision - a valuation ratio, an insider purchase, an earnings surprise, a sentiment shift in a call transcript. Strategies typically combine multiple signals rather than relying on just one, since any individual signal can be noisy or misleading in isolation.
Stock Screener
A stock screener is a tool that filters a universe of stocks down to those meeting specific criteria - like a minimum ROIC, maximum P/E, or positive earnings revisions. Traditional screeners run a snapshot at a single point in time; more advanced setups chain screens together and re-run them automatically as new data arrives.
Cutonce vs FinvizSystematic Investing
Systematic investing applies consistent, rules-based logic across every decision, in contrast to discretionary investing, which relies on case-by-case judgment. It does not have to mean fully quantitative or black-box - many systematic processes are simply an analyst's own judgment, made explicit and applied uniformly at scale.
Technical Analysis
Technical analysis studies price and volume patterns - trends, support and resistance levels, momentum indicators - to inform trading and investment decisions, as opposed to evaluating the underlying business. It is often used alongside fundamental analysis rather than instead of it, particularly for timing entries and exits.
Universe (Investment Universe)
An investment universe is the full set of stocks under consideration for a given strategy - for example, the S&P 500, the NASDAQ 100, a sector index, or a custom ticker list. Defining the universe is the first step in any screening or scoring process, since it determines the pool of candidates everything else gets applied to.
Watchlist vs. Pipeline
A watchlist is a static list of stocks an analyst tracks manually, checked and updated by hand. A pipeline goes further - it does not just list the candidates, it defines the logic (filters, scores, AI analysis) that generates and re-ranks that list automatically every time it runs, turning ongoing monitoring into a repeatable, scheduled process instead of a manual chore.
See the pipeline in action10-K Filing
A 10-K is the annual report public companies are required to file with the SEC, covering audited financials, risk factors, and management's discussion of the business. It is the single most comprehensive primary-source document for fundamental research, and a common target for both manual reading and automated extraction.
Screen a 10-K for red flags10-Q Filing
A 10-Q is the quarterly counterpart to the 10-K - a less detailed, unaudited financial report companies file three times a year between annual reports. It is the fastest way to check in on a company's fundamentals between earnings seasons without waiting for the full annual filing.
Cross-check call claims against filingsPut the terms to work
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