# What Does Comps Mean? Real Estate, Trading & Retail Published: 2026-04-19 Author: Warren Team URL: https://www.heywarren.com/blog/comps-meaning --- When a real estate agent says "the comps support $750K" or a banker says "the comps trade at 12x EBITDA," they're using the same shorthand for two totally different processes. So what does comps mean, exactly? Comps, short for comparables, is one of the most-used and most-misunderstood words in finance. It shows up in home appraisals, M&A pitch books, and quarterly earnings calls for chains like Starbucks. Get the comp analysis wrong and you'll over- or under-pay by tens of thousands. The problem is that "comps" is a chameleon. Real estate agents mean recently sold houses down the street. Investment bankers mean publicly traded peer companies. Retail analysts mean same-store sales growth. All three lean on the same idea, value something by what similar things are worth, but the mechanics, data sources, and pitfalls differ wildly. This guide walks through every meaning of comps with worked examples, the tools professionals actually use, and the mistakes that trip up even experienced analysts. We anchor on real estate because that's where most people first meet the term, then move into trading comps and same-store sales. By the end you'll be able to read a CMA, a banker's pitch deck, or a Chipotle earnings release and know exactly what the comps are telling you, and where they're lying. ## What Does Comps Mean? The Three Definitions Comps is shorthand for "comparables," a relative-valuation method that prices an asset by looking at what similar assets are worth. The word travels across three industries, and context decides which version applies. Knowing all three keeps you from talking past your agent, banker, or portfolio manager. ![Comps appears in three industries, real estate, finance, and retail, each with distinct data sources and mechanics.](data:image/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20viewBox%3D%220%200%20600%20211%22%20width%3D%22600%22%20height%3D%22211%22%20role%3D%22img%22%3E%3Ctitle%3EHierarchy%3C%2Ftitle%3E%3Crect%20width%3D%22100%25%22%20height%3D%22100%25%22%20fill%3D%22%23f8fafc%22%2F%3E%3Crect%20x%3D%22220%22%20y%3D%2220%22%20width%3D%22160%22%20height%3D%2258%22%20rx%3D%228%22%20fill%3D%22%232563eb%22%2F%3E%3Ctext%20x%3D%22300%22%20y%3D%2254%22%20text-anchor%3D%22middle%22%20font-family%3D%22system-ui%2C-apple-system%2Csans-serif%22%20font-size%3D%2214%22%20font-weight%3D%22700%22%20fill%3D%22white%22%3EComps%3C%2Ftext%3E%3Cpath%20d%3D%22M%20300%2078%20L%20300%20105.5%20L%20120%20105.5%20L%20120%20133%22%20stroke%3D%22%23cbd5e1%22%20stroke-width%3D%222%22%20fill%3D%22none%22%2F%3E%3Crect%20x%3D%2240%22%20y%3D%22133%22%20width%3D%22160%22%20height%3D%2258%22%20rx%3D%228%22%20fill%3D%22white%22%20stroke%3D%22%230891b2%22%20stroke-width%3D%222%22%2F%3E%3Ctext%20x%3D%22120%22%20y%3D%22158%22%20text-anchor%3D%22middle%22%20font-family%3D%22system-ui%2C-apple-system%2Csans-serif%22%20font-size%3D%2213%22%20font-weight%3D%22600%22%20fill%3D%22%230f172a%22%3EReal%20Estate%3C%2Ftext%3E%3Ctext%20x%3D%22120%22%20y%3D%22176%22%20text-anchor%3D%22middle%22%20font-family%3D%22system-ui%2C-apple-system%2Csans-serif%22%20font-size%3D%2210%22%20fill%3D%22%2364748b%22%3ERecent%20sold%20homes%3C%2Ftext%3E%3Cpath%20d%3D%22M%20300%2078%20L%20300%20105.5%20L%20300%20105.5%20L%20300%20133%22%20stroke%3D%22%23cbd5e1%22%20stroke-width%3D%222%22%20fill%3D%22none%22%2F%3E%3Crect%20x%3D%22220%22%20y%3D%22133%22%20width%3D%22160%22%20height%3D%2258%22%20rx%3D%228%22%20fill%3D%22white%22%20stroke%3D%22%230891b2%22%20stroke-width%3D%222%22%2F%3E%3Ctext%20x%3D%22300%22%20y%3D%22158%22%20text-anchor%3D%22middle%22%20font-family%3D%22system-ui%2C-apple-system%2Csans-serif%22%20font-size%3D%2213%22%20font-weight%3D%22600%22%20fill%3D%22%230f172a%22%3ETrading%20Comps%3C%2Ftext%3E%3Ctext%20x%3D%22300%22%20y%3D%22176%22%20text-anchor%3D%22middle%22%20font-family%3D%22system-ui%2C-apple-system%2Csans-serif%22%20font-size%3D%2210%22%20fill%3D%22%2364748b%22%3EPeer%20EV%20multiples%3C%2Ftext%3E%3Cpath%20d%3D%22M%20300%2078%20L%20300%20105.5%20L%20480%20105.5%20L%20480%20133%22%20stroke%3D%22%23cbd5e1%22%20stroke-width%3D%222%22%20fill%3D%22none%22%2F%3E%3Crect%20x%3D%22400%22%20y%3D%22133%22%20width%3D%22160%22%20height%3D%2258%22%20rx%3D%228%22%20fill%3D%22white%22%20stroke%3D%22%230891b2%22%20stroke-width%3D%222%22%2F%3E%3Ctext%20x%3D%22480%22%20y%3D%22158%22%20text-anchor%3D%22middle%22%20font-family%3D%22system-ui%2C-apple-system%2Csans-serif%22%20font-size%3D%2213%22%20font-weight%3D%22600%22%20fill%3D%22%230f172a%22%3ESame-Store%20Sales%3C%2Ftext%3E%3Ctext%20x%3D%22480%22%20y%3D%22176%22%20text-anchor%3D%22middle%22%20font-family%3D%22system-ui%2C-apple-system%2Csans-serif%22%20font-size%3D%2210%22%20fill%3D%22%2364748b%22%3EYoY%20revenue%20growth%3C%2Ftext%3E%3C%2Fsvg%3E) *Comps appears in three industries, real estate, finance, and retail, each with distinct data sources and mechanics.* In residential real estate, comps are recently sold homes near the subject property used to estimate fair market value. In equity research and M&A, "trading comps" are publicly listed peer companies whose multiples (EV/EBITDA, P/E) anchor a target's valuation. In retail and restaurants, "comp sales" or "same-store sales" measure year-over-year revenue growth at locations open at least a year. ### Why the Same Word Travels So Far Every flavor of comps shares a common logic: the market has already priced something similar, so use that price as your starting point. This is called relative valuation, and it's the working alternative to intrinsic methods like discounted cash flow. Comps anchor in real transactions, which is why courts, appraisers, and acquirers love them. ### When Each Definition Applies If someone is buying or selling a house, they mean real estate comps. If they are pitching a deal or building a valuation model, they mean trading comps. If they are reading an earnings release for a chain restaurant or retailer, they mean same-store sales comps. The slang is identical; the spreadsheets are not. ## Real Estate Comps Explained Real estate comps are the backbone of residential pricing. Appraisers, agents, and buyers pull three to six recent sales of similar properties nearby, adjust for differences, and triangulate a value range. The [Federal Housing Finance Agency](https://www.fhfa.gov/), courts, and most mortgage lenders treat comp-based appraisals as the gold standard for residential value. ![How appraisers move from raw sales data to a defensible subject-property value.](data:image/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20viewBox%3D%220%200%20875%20125%22%20width%3D%22875%22%20height%3D%22125%22%20role%3D%22img%22%3E%3Ctitle%3EFlow%20diagram%3C%2Ftitle%3E%3Crect%20width%3D%22100%25%22%20height%3D%22100%25%22%20fill%3D%22%23f8fafc%22%2F%3E%3Crect%20x%3D%2230%22%20y%3D%2225%22%20width%3D%22170%22%20height%3D%2275%22%20rx%3D%2210%22%20fill%3D%22white%22%20stroke%3D%22%232563eb%22%20stroke-width%3D%222%22%2F%3E%3Ctext%20x%3D%22115%22%20y%3D%2258.5%22%20text-anchor%3D%22middle%22%20font-family%3D%22system-ui%2C-apple-system%2Csans-serif%22%20font-size%3D%2214%22%20font-weight%3D%22600%22%20fill%3D%22%230f172a%22%3EPull%20MLS%20Sales%3C%2Ftext%3E%3Ctext%20x%3D%22115%22%20y%3D%2278.5%22%20text-anchor%3D%22middle%22%20font-family%3D%22system-ui%2C-apple-system%2Csans-serif%22%20font-size%3D%2211%22%20fill%3D%22%2364748b%22%3E90%E2%80%93180%20days%2C%20%C2%BD%20mile%3C%2Ftext%3E%3Cline%20x1%3D%22205%22%20y1%3D%2262.5%22%20x2%3D%22237%22%20y2%3D%2262.5%22%20stroke%3D%22%2364748b%22%20stroke-width%3D%222%22%2F%3E%3Cpolygon%20points%3D%22244%2C62.5%20235%2C57.5%20235%2C67.5%22%20fill%3D%22%2364748b%22%2F%3E%3Crect%20x%3D%22245%22%20y%3D%2225%22%20width%3D%22170%22%20height%3D%2275%22%20rx%3D%2210%22%20fill%3D%22white%22%20stroke%3D%22%232563eb%22%20stroke-width%3D%222%22%2F%3E%3Ctext%20x%3D%22330%22%20y%3D%2258.5%22%20text-anchor%3D%22middle%22%20font-family%3D%22system-ui%2C-apple-system%2Csans-serif%22%20font-size%3D%2214%22%20font-weight%3D%22600%22%20fill%3D%22%230f172a%22%3EFilter%20Comps%3C%2Ftext%3E%3Ctext%20x%3D%22330%22%20y%3D%2278.5%22%20text-anchor%3D%22middle%22%20font-family%3D%22system-ui%2C-apple-system%2Csans-serif%22%20font-size%3D%2211%22%20fill%3D%22%2364748b%22%3ESize%2C%20beds%2C%20era%3C%2Ftext%3E%3Cline%20x1%3D%22420%22%20y1%3D%2262.5%22%20x2%3D%22452%22%20y2%3D%2262.5%22%20stroke%3D%22%2364748b%22%20stroke-width%3D%222%22%2F%3E%3Cpolygon%20points%3D%22459%2C62.5%20450%2C57.5%20450%2C67.5%22%20fill%3D%22%2364748b%22%2F%3E%3Crect%20x%3D%22460%22%20y%3D%2225%22%20width%3D%22170%22%20height%3D%2275%22%20rx%3D%2210%22%20fill%3D%22white%22%20stroke%3D%22%232563eb%22%20stroke-width%3D%222%22%2F%3E%3Ctext%20x%3D%22545%22%20y%3D%2258.5%22%20text-anchor%3D%22middle%22%20font-family%3D%22system-ui%2C-apple-system%2Csans-serif%22%20font-size%3D%2214%22%20font-weight%3D%22600%22%20fill%3D%22%230f172a%22%3EApply%20Adjustments%3C%2Ftext%3E%3Ctext%20x%3D%22545%22%20y%3D%2278.5%22%20text-anchor%3D%22middle%22%20font-family%3D%22system-ui%2C-apple-system%2Csans-serif%22%20font-size%3D%2211%22%20fill%3D%22%2364748b%22%3ESqft%2C%20condition%2C%20lot%3C%2Ftext%3E%3Cline%20x1%3D%22635%22%20y1%3D%2262.5%22%20x2%3D%22667%22%20y2%3D%2262.5%22%20stroke%3D%22%2364748b%22%20stroke-width%3D%222%22%2F%3E%3Cpolygon%20points%3D%22674%2C62.5%20665%2C57.5%20665%2C67.5%22%20fill%3D%22%2364748b%22%2F%3E%3Crect%20x%3D%22675%22%20y%3D%2225%22%20width%3D%22170%22%20height%3D%2275%22%20rx%3D%2210%22%20fill%3D%22white%22%20stroke%3D%22%232563eb%22%20stroke-width%3D%222%22%2F%3E%3Ctext%20x%3D%22760%22%20y%3D%2258.5%22%20text-anchor%3D%22middle%22%20font-family%3D%22system-ui%2C-apple-system%2Csans-serif%22%20font-size%3D%2214%22%20font-weight%3D%22600%22%20fill%3D%22%230f172a%22%3EBracket%20Value%3C%2Ftext%3E%3Ctext%20x%3D%22760%22%20y%3D%2278.5%22%20text-anchor%3D%22middle%22%20font-family%3D%22system-ui%2C-apple-system%2Csans-serif%22%20font-size%3D%2211%22%20fill%3D%22%2364748b%22%3EAverage%20adjusted%20prices%3C%2Ftext%3E%3C%2Fsvg%3E) *How appraisers move from raw sales data to a defensible subject-property value.* ### How Real Estate Comps Work The appraiser starts with the subject property and searches the local Multiple Listing Service (MLS) for arms-length sales that closed in the past 90 to 180 days within roughly a half-mile. Each comp gets line-by-line adjustments, square footage, bedrooms, condition, lot size, garage, view, to "make it equal" to the subject. The adjusted prices then bracket the subject's likely value. ### Selection Criteria: Proximity, Recency, Similarity, Size Good comps live within the same school district and ideally the same subdivision. Most lenders want sales no older than six months. Square footage should be within roughly 15%, bedroom and bathroom counts should match, and the construction era should be similar. A 1920s bungalow does not comp to a 2010 new build, even on the same block. ### Adjustments: Square Footage, Bedrooms, Condition, Location Adjustments quantify each difference. A typical metro-area appraiser might add $150 per square foot of finished space, $5,000 to $15,000 per extra bedroom, and $10,000 to $40,000 for a major renovation. Negative adjustments work the same way, busy street, dated kitchen, smaller lot. The goal is to convert an apples-to-oranges comp into apples-to-apples. ### Worked Example: Pricing a 1,800 sqft Home Imagine a subject property of 1,800 sqft, 3BR/2BA, recently renovated. Comp 1 is a neighbor at 1,750 sqft, 3BR/2BA, similar renovated condition, sold 30 days ago for $720,000. The square-footage adjustment at $150/sqft adds $7,500 (50 sqft x $150) to bring Comp 1 up to the subject's size, producing an adjusted value of $727,500. Pull two more comps, average the adjusted values, and you have a defensible listing price near $730,000. ### CMA vs Appraiser-Grade Comps A Comparative Market Analysis (CMA) is what real estate agents prepare for sellers. It uses the same comp logic but is faster, free, and meant to support a listing decision. A formal appraisal, required by mortgage lenders, follows Uniform Standards of Professional Appraisal Practice (USPAP), uses standardized adjustment grids, and carries legal weight. CMAs are directional; appraisals are dispositive. ## Trading Comps in Finance Trading comps, formally called Comparable Companies Analysis, value a private or public business by benchmarking it against publicly traded peers. Investment bankers, equity research analysts, and corporate development teams use trading comps in nearly every pitch book, fairness opinion, and IPO roadshow. The method tells you what the public market would pay for a business like the target today. ### How Analysts Pick Comps for Valuation The starting point is industry classification, same NAICS or GICS code, followed by filters for size (revenue, market cap), growth rate, geography, and business model. A SaaS analyst building comps for Snowflake would pull Databricks (when public), MongoDB, Datadog, and ServiceNow, then exclude legacy on-premise software peers. Five to ten clean comps is the working norm. ### Trading Multiples That Matter The mainstream multiples are EV/EBITDA, EV/Revenue, P/E (price to earnings), P/S (price to sales), and P/B (price to book) for financials. High-growth tech leans on EV/Revenue or EV/ARR. Mature industrials lean on EV/EBITDA. Banks and insurers lean on P/B and P/E. Choosing the right multiple is half the battle. ### Worked Example: Valuing a SaaS Company Suppose a private SaaS company has $50M in annual recurring revenue (ARR) and a peer set of public SaaS firms trading at a median 6x ARR. Multiplying $50M by 6 yields an implied enterprise value of $300M. Adjustments for size discount (private companies usually trade at a 10% to 30% haircut) might bring the indicated value to $210M to $270M before negotiation. ### Limitations: No Two Companies Are Identical Trading comps assume the peer set fairly represents the target. In practice, growth rates differ, margin profiles differ, and capital structures differ. Analysts add or subtract from the peer multiple to reflect those gaps, a process equal parts spreadsheet and storytelling. A 6x multiple can become 4x or 8x depending on how you frame the differences. ## Same-Store Sales Comps in Retail Same-store sales comps, also called "comp store sales" or "comparable sales", measure year-over-year revenue change at locations open for at least 12 to 13 months. The metric strips out the noise of new openings and store closures so investors can see whether the existing footprint is healthier or weaker. It is the single most-watched number in retail and restaurant earnings. Investors live and die on these prints. When Starbucks reports +5% comps, it means existing stores grew sales 5% versus the same quarter last year. When Chipotle prints +11% comps, it signals genuine demand strength. McDonald's, Costco, Lululemon, and Domino's all anchor their quarterly narratives on the same-store number. "Negative comps", a decline versus the prior year, typically tank the stock. A retailer with new stores can grow [total revenue](/blog/how-do-we-calculate-total-revenue) while comps fall, masking weakness in the existing base. That is why comp sales sit above headline revenue in most analyst models. They are the cleanest read on whether the underlying business is winning or losing customers. ## The Art and Science of Comp Selection Picking comps is more art than people admit. Two analysts handed the same target will produce different peer sets, different adjustments, and different valuation ranges, sometimes by 30% or more. The science is the math; the art is which comps you include, exclude, and weight. ### How to Spot Bad Comps Bad comps share a few tells. They are cherry-picked to support a predetermined number, geographically distant from the subject, stale by six months or more, or wildly mismatched in size. In real estate, watch for comps from a hotter neighborhood. In trading comps, watch for peers with double the growth rate of the target. In same-store sales, watch for accounting changes that redefine what counts as a comparable store. ### Tools the Pros Use Real estate professionals run comps through MLS access, Redfin, Zillow (including the Zillow Zestimate as a starting point), and proprietary AVMs. Investment bankers and equity analysts use Capital IQ, FactSet, Bloomberg, and Refinitiv to pull peer multiples in seconds. Retail analysts pull same-store sales straight from 10-Q filings, earnings releases, and investor day decks. ### Common Adjustments Real estate adjustments hit square footage, bedroom count, condition, lot size, and location quality. Trading-comp adjustments reflect size, growth, margin, geography, and capital intensity. Same-store sales adjustments back out the impact of currency moves, calendar shifts, and [acquisitions](/blog/what-is-acquisitions) to produce "organic" or "constant currency" comps. ## Comps vs DCF: Relative vs Intrinsic Valuation Comp analysis is a relative valuation method, it prices an asset by what the market pays for similar assets right now. A discounted cash flow (DCF) is an intrinsic valuation, it prices an asset by the present value of its future cash flows. Both have merits and both belong in a serious valuation. ![Trading comps anchor value in today's market price; DCF anchors value in projected future cash flows.](data:image/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20viewBox%3D%220%200%20800%20210%22%20width%3D%22800%22%20height%3D%22210%22%20role%3D%22img%22%3E%3Ctitle%3EComparison%3C%2Ftitle%3E%3Crect%20width%3D%22100%25%22%20height%3D%22100%25%22%20fill%3D%22%23f8fafc%22%2F%3E%3Ctext%20x%3D%22230%22%20y%3D%2257.5%22%20text-anchor%3D%22end%22%20font-family%3D%22system-ui%2C-apple-system%2Csans-serif%22%20font-size%3D%2214%22%20font-weight%3D%22600%22%20fill%3D%22%230f172a%22%3EComps%20%28Market%29%3C%2Ftext%3E%3Crect%20x%3D%22240%22%20y%3D%2225%22%20width%3D%22180%22%20height%3D%2255%22%20rx%3D%226%22%20fill%3D%22%232563eb%22%2F%3E%3Ctext%20x%3D%22432%22%20y%3D%2257.5%22%20font-family%3D%22system-ui%2C-apple-system%2Csans-serif%22%20font-size%3D%2214%22%20font-weight%3D%22700%22%20fill%3D%22%232563eb%22%3E6%3C%2Ftext%3E%3Ctext%20x%3D%22230%22%20y%3D%22152.5%22%20text-anchor%3D%22end%22%20font-family%3D%22system-ui%2C-apple-system%2Csans-serif%22%20font-size%3D%2214%22%20font-weight%3D%22600%22%20fill%3D%22%230f172a%22%3EDCF%20%28Intrinsic%29%3C%2Ftext%3E%3Crect%20x%3D%22240%22%20y%3D%22120%22%20width%3D%22450%22%20height%3D%2255%22%20rx%3D%226%22%20fill%3D%22%237c3aed%22%2F%3E%3Ctext%20x%3D%22702%22%20y%3D%22152.5%22%20font-family%3D%22system-ui%2C-apple-system%2Csans-serif%22%20font-size%3D%2214%22%20font-weight%3D%22700%22%20fill%3D%22%237c3aed%22%3E15%3C%2Ftext%3E%3C%2Fsvg%3E) *Trading comps anchor value in today's market price; DCF anchors value in projected future cash flows.* Comps anchor you in market reality. If every public SaaS company trades at 6x ARR, telling a board your target is worth 15x because your DCF says so is a hard sell. DCFs anchor you in fundamentals. If the entire market is in a bubble, comps will hand you a bubble valuation. The professional standard is to triangulate, run both, present a range, and explain why you weight one over the other. ## Common Comp Analysis Mistakes Even experienced practitioners get burned by predictable errors. The first is using non-comparable comps, a 4-bedroom house in a different school district, a competitor twice the target's size, or a retailer that just lapped a one-time promotion. The second is ignoring market timing; a comp from six months ago in a falling market overstates today's value. The third mistake is mistaking the median multiple for fair value without context. The median peer trades at 6x because the median peer has the median growth, margin, and risk profile. Your target may deserve 4x or 8x. The fourth is confusing real estate comps with appraised value. Raw comps need adjustments; an appraisal is the adjusted, defensible number, not a list of recent sales. Finally, beware of confirmation bias. Analysts who already have a target price will subtly favor comps that support it. The discipline is to set selection criteria before you look at the prices, then live with what the data says. ## Real-World Example: Comps Driving Decisions A homeowner pricing a pre-listing house pulls six recent sales within a quarter-mile, applies condition and square-footage adjustments, lands on a $735,000 indicated value, and lists at $749,000 to leave room for negotiation. The comps drove every step of the conversation with the agent, the buyer, and ultimately the bank's appraiser. In M&A, a software company exploring a sale receives an investment bank pitch with a trading comps page showing eight public SaaS peers at a median 7x ARR and a precedent transactions page showing recent acquisitions at 9x ARR. Those two ranges anchor the entire negotiation. The eventual sale at 8x ARR sits between trading comps (where the market values similar businesses today) and precedents (what acquirers actually paid). Comps did not just inform the deal, they framed it. ## Authoritative Sources For deeper background and primary-source data on this topic, the following authoritative sources are useful starting points: - [IRS](https://www.irs.gov/) - [SEC](https://www.sec.gov/) ## Conclusion So what does comps mean in practice? It means three different things in three different industries, all built on the same idea: value something by what similar things are worth. The takeaways: 1. Real estate comps drive home pricing, CMAs, and lender appraisals, selection and adjustment quality matter more than the raw sale prices. 2. Trading comps (Comparable Companies Analysis) drive equity research, M&A, and IPO valuations using EV/EBITDA, P/E, and P/Sales multiples. 3. Same-store sales comps drive retail and restaurant stock prices, watch the comp number, not just headline revenue. 4. Comps are relative valuation; pair them with a DCF to triangulate intrinsic value. 5. The biggest mistakes are bad peer selection, stale data, and confirmation bias, set your criteria before you look at prices. As AI-driven valuation tools mature, comp selection itself will get faster and more transparent. But judgment about which comps actually fit will remain a human edge, and the analysts who pair good data with disciplined selection will continue to win the pricing arguments. Ready to put this knowledge to work? Try Warren, your AI financial advisor, get personalized, conflict-free guidance at heywarren.com --- ## Related Reading **More from Warren**: - [What Is an Encroachment? Real Estate Property Line Guide](/blog/encroachment-real-estate) - [Subordination Clause: What It Means in Mortgages and Real Estate Finance](/blog/subordination-clause) - [Proration: What It Is and How It Works in Real Estate and Finance](/blog/what-is-a-proration) **Authoritative sources**: - [SEC Investor.gov, Trading Basics](https://www.investor.gov/introduction-investing/investing-basics/how-stock-markets-work) - [FINRA, Day Trading](https://www.finra.org/investors/learn-to-invest/advanced-investing/day-trading) - [Consumer Financial Protection Bureau, Owning a Home](https://www.consumerfinance.gov/owning-a-home/)