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what stocks went down today — guide

what stocks went down today — guide

This guide explains what stocks went down today: how daily loser lists are compiled, where to find real‑time decliners, common metrics and filters, practical screening workflows, interpretation of ...
2025-09-07 08:55:00
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What stocks went down today

As of December 31, 2025, this article explains what stocks went down today and why those daily loser lists matter for traders and investors. The phrase what stocks went down today refers to publicly traded equities that have declined in price during the current trading session (and sometimes in extended sessions) relative to a prior reference price. This guide shows how those lists are compiled, where to find real‑time and near‑real‑time loser screens, how to interpret common columns and filters, and important caveats when using daily decliner data for research or trading.

In the sections below you will learn: how intraday, pre‑market and after‑hours declines are reported; the primary metrics used by screeners; recommended screening parameters and example presets; how to read the typical columns on a losers page; and a practical workflow to turn a list of what stocks went down today into research‑grade trade ideas while avoiding common pitfalls. Wherever applicable, this guide notes provider strengths and flags special corporate events that can distort daily lists.

Definition and scope

When a reader asks "what stocks went down today" they usually want a ranked list of equities that fell in value over the relevant trading period. That phrase can mean slightly different things depending on context and data provider:

  • Regular session intraday decline — percent change vs. the previous official close during standard exchange hours (typically 09:30–16:00 ET for U.S. markets).
  • Extended‑hours change — price moves that occur in pre‑market or after‑market sessions; many providers offer separate views for extended trading.
  • Reference price — most screens use the previous close as the baseline; some advanced feeds let you switch to last trade, VWAP, or open price comparisons.

Instruments covered on daily loser lists typically include shares listed on NYSE, NASDAQ and AMEX, over‑the‑counter (OTC) tickers, exchange‑traded funds (ETFs) and American Depositary Receipts (ADRs). When you search for what stocks went down today, confirm whether the source includes penny stocks and OTC issues — these often dominate percentage‑based leaderboards.

Common metrics and filters used to identify stocks that went down

Stock decliner lists rely on several primary metrics and filters. Understanding these lets you tune a screen for signal (meaningful moves) and reduce noise.

  • Absolute price change — the dollar decline (e.g., -$3.20). Useful for spotting large‑cap moves where percent changes are small but dollar impact is big.
  • Percent change — the percentage decline from the reference price (e.g., -4.2%). This is the most common ranking metric for daily losers.
  • Trading volume — current session volume is essential to judge whether a move has participation. Low volume moves are often unreliable.
  • Average volume (AV) — comparing today's volume to average volume filters out thinly traded names (e.g., Volume ≥ 0.5× or 1× Avg Vol).
  • Market capitalization — a cap filter helps separate small‑cap/penny‑stock noise from large‑cap movers.

Common thresholds used in screeners and news lists include:

  • Percent change ≤ -2.5% for a conservative list of meaningful declines.
  • Percent change ≤ -5% or -10% to catch sharp intraday collapses.
  • Minimum volume ≥ 50k–100k for small‑cap filters; ≥ 500k–1M for mid/large caps.
  • Price minimums (e.g., price ≥ $1.00) to exclude sub‑dollar penny stocks that can produce extreme percent moves on trivial trades.

Tailor filters to your purpose: short candidates, rebound candidates (mean reversion), or sector weakness. The phrase what stocks went down today can refer to any of these filtered sets, so define the metric and thresholds up front.

Data sources and providers

Real‑time and near‑real‑time outlets publish daily loser lists. Each has strengths you can use depending on whether you want live headlines, sortable screeners, editorial context, or bulk data.

  • CNBC — strong intraday market coverage and live headlines on major movers; good for real‑time editorial context and headline‑driven declines.
  • Google Finance — aggregated "Losers" view with percent‑change rankings and index context. Quick for a fast check of what stocks went down today across major indices.
  • Yahoo Finance — flexible day losers screener with sortable fields (price, % change, volume). Useful for quick filtering and historical comparisons.
  • The Motley Fool / stock‑focused outlets — curated lists and commentary that add qualitative analysis to big decliners; helpful for understanding story drivers.
  • MarketBeat — near‑real‑time biggest percentage decliners with supplemental analytics (insider activity, analyst notes).
  • Barchart — percent‑change leaderboards plus an advanced screener useful for programmatic filtering and downloads.
  • Business Insider / Markets Insider — market movers and index‑specific losers (e.g., Dow or S&P movers).
  • StockAnalysis — sortable lists of top losers with basic fundamentals and volume for quick vetting.

Typical strengths:

  • Live headlines & context: CNBC, Business Insider.
  • Quick sortable screens: Yahoo Finance, Google Finance.
  • Advanced technical and exportable screening: Barchart, MarketBeat.
  • Editorial deep dives and company‑level commentary: The Motley Fool.

Note: for automated trading and integration, many traders use broker APIs or paid data feeds; the free lists above are best for idea generation, not execution.

How lists are compiled (methodology)

Most "what stocks went down today" lists are compiled using a straightforward methodology:

  1. Compute percent change = (Last Trade or Current Price - Previous Close) / Previous Close × 100%.
  2. Optionally apply filters: minimum volume, minimum price, market cap range, exchange or index inclusion.
  3. Rank results by percent change (most negative first) or by absolute dollar decline for dollar‑impact leaderboards.
  4. Distinguish session type: some feeds show regular session only, others include extended hours or show both separately.

Providers also handle corporate actions differently. Common adjustments include:

  • Splits and reverse splits — price history and percent change calculations are adjusted for splits; most reliable data feeds normalize for this.
  • Dividends and special distributions — rarely affect intraday percent movers but may affect reference prices on ex‑dividend days.
  • Delists and suspensions — delisted tickers may still appear in historical lists; active‑trading lists usually exclude suspended names or flag them.

Intraday vs. pre‑market vs. after‑hours

Pre‑market (typically 04:00–09:30 ET) and after‑hours (typically 16:00–20:00 ET) trading can generate price changes not visible in regular‑session only lists. Many large news events (earnings, guidance, M&A, regulatory notices) occur outside regular hours and produce extended‑hours gaps that carry into the next regular session.

How providers handle these sessions:

  • Some present separate tabs (Regular vs. Extended Hours) so you can see who "went down" during the extended window.
  • Others show percent change including the most recent trade regardless of session; check the header for "includes pre/post market."
  • For strategy: always cross‑check extended‑hours losers if you plan to trade at the open — open prices often gap to reflect after‑hours moves.

Types of decliners and common categories

Daily losers fall into predictable categories. Knowing which type you’re looking at helps set expectations for persistence and risk.

  • Largest percentage losers — often dominated by small‑cap or penny stocks with low floats. A single sale can move price dramatically; durability of the move is low unless backed by news.
  • Largest absolute dollar decliners — these are typically large‑cap names where a modest percent move equates to big dollar loss (e.g., Dow or S&P 500 constituents). These moves often reflect sector or macro drivers and carry higher market impact.
  • Sector‑ or index‑specific decliners — losers within a specific sector (e.g., biotech, energy) or index (S&P 500, Dow, Nasdaq). Useful for spotting sector rotations.
  • ETFs and leveraged products — ETFs show daily declines that reflect aggregated holdings; leveraged ETFs amplify moves and can show outsized single‑day declines due to daily reset and path dependency.

Typical reasons stocks fall in a single day

Daily decline drivers fall into corporate, macro, and market structure buckets:

  • Earnings misses or negative guidance — a common and immediate catalyst.
  • Regulatory or legal news — fines, investigations, or unfavorable rulings.
  • Macroeconomic releases — CPI, jobs, central bank policy shifts.
  • Geopolitical events — sudden risk aversion can hit specific sectors.
  • Analyst downgrades or cuts to price targets — can trigger selling.
  • Large block sales or algorithmic flows — mechanical selling from funds or programs.
  • Liquidity issues and short squeezes — thin markets can magnify moves.
  • Corporate actions — bankruptcy filings, trading suspensions, delisting notices or reverse splits.

As of December 15, 2025, for example, Motley Fool reported that the IPO stock FIG (Figma) traded off roughly 70% from its high since its IPO and was trading near $37.83 with daily moves tied to post‑IPO dynamics and profit‑recognition factors. This illustrates how IPOs and newly listed names can show dramatic intraday and multi‑session declines while the market digests a new capital structure and stock‑based compensation effects.

How traders and investors use “stocks that went down today”

Lists of what stocks went down today are used for idea generation and tactical decision making:

  • Short candidates — identify names that have broken technical support or have fresh negative catalysts.
  • Rebound / mean‑reversion opportunities — oversold names with high volume may offer quick bounces for intraday traders.
  • Sector weakness detection — multiple decliners in a sector can indicate rotation or stress.
  • Watchlist creation — add daily losers to a watchlist for further due diligence and potential follow‑up trades.
  • Volatility and liquidity checks — traders monitor decliners to calibrate risk and execution timing.

These lists are starting points; they do not replace fundamental research or position sizing discipline.

Pitfalls, limitations, and cautions

Common mistakes when using loser lists:

  • Equating volatility with fundamental weakness — a big percent drop on thin volume may not indicate durable problems.
  • Survivorship and data biases — lists often emphasize mid‑ and small‑caps; large‑cap moves require different filters.
  • Misreading ETFs vs. holdings — an ETF decline may be driven by a few large holdings; check the underlying constituents.
  • Delayed or revised data — free feeds can lag or correct; verify with multiple sources for execution decisions.
  • Trading on headline lists without research — daily losers are a signal, not a trade recommendation.

Regulatory and corporate events can cause misleading entries: bankruptcies, exchange suspensions, and delisting notices may show up as dramatic declines and typically require special handling.

Recommended screening parameters and workflows

A repeatable workflow helps turn what stocks went down today into disciplined research:

  1. Initial screen: apply percent‑change, price and volume filters appropriate to cap size.
  2. Cross‑check news: read headlines and company releases to find confirmed catalysts (earnings, guidance, regulatory notices). Note the report date when citing news.
  3. Check earnings calendar and SEC filings for recent 8‑Ks or other event filings.
  4. Verify session type: was the move in extended hours or regular session? That affects liquidity at the open.
  5. Inspect liquidity & float: confirm average daily volume and public float before considering execution.
  6. If trading, set entry, stop and size rules; for investing, add to watchlist for multi‑day follow‑up and fundamental checks.

Example screener settings (illustrative)

  • Large‑cap S&P 500 losers today: % change ≤ -2%, volume ≥ Avg Vol, market cap ≥ $10B.
  • Mid‑cap movers: % change ≤ -5%, price ≥ $5.00, volume ≥ 250k, market cap between $2B–$10B.
  • Small‑cap/penny movers (speculative): % change ≤ -10%, price ≥ $0.50, volume ≥ 50k, exclude OTC if desired.

Apply additional filters for sector, exchange, or inclusion/exclusion lists (e.g., exclude names flagged as halted or delisted).

Interpreting provider lists — what each column means

Typical columns on a "top losers" page and how to read them:

  • Symbol — the ticker shorthand for the company.
  • Name — company name; check for ADR markers or OTC notation.
  • Last Price — most recent trade price shown by the provider (may include extended hours if noted).
  • Change — absolute dollar change vs. previous close (e.g., -$1.84).
  • % Change — percent change vs. previous close (primary sort metric for losers).
  • Volume — trading volume in the current session.
  • Avg Vol — average daily trading volume (commonly 30‑ or 90‑day average).
  • Market Cap — total market capitalization (price × outstanding shares).
  • 52‑Week Range — low/high over the past 52 weeks for context on the move.
  • Notes / Headlines — providers often include a short headline for quick context (e.g., earnings miss, guidance cut).

When a row shows % Change with low volume and a wide 52‑week range, treat that move as potentially ephemeral unless anchored by a confirmed news item.

Real‑time tools, alerts, and automation

To stay on top of what stocks went down today, traders use alerts and automation:

  • Watchlists and mobile alerts — most brokers and finance apps let you create alerts for price or percent changes.
  • API and data feeds — paid feeds (and many brokers) provide WebSocket or REST APIs for programmatic monitoring.
  • Trading platform alerts — set conditional orders, percent triggers, or time‑based scans on your execution platform.

Bitget provides institutional‑grade market data and alerting features on its platform; consider using Bitget’s watchlists and mobile alerts for immediate notification of large decliners. For web3 wallets and on‑chain monitoring tied to tokenized equities or tokenized assets, Bitget Wallet is recommended for a streamlined, secure experience within the Bitget ecosystem.

Cautions about automation:

  • Alert storms — tune thresholds to avoid notification overload from low‑value noise.
  • Slippage & fills — executing into fast declines may suffer from wide spreads and partial fills.
  • Rate limits and data latency — free feeds can lag; paid real‑time feeds are preferable for execution.

Historical patterns and market breadth indicators

Daily loser lists feed into breadth analysis and market internals:

  • Advancers vs. decliners — a market where decliners outnumber advancers significantly signals weak breadth even if major indices are flat.
  • Sector concentration — persistent cluster of losers in one sector may indicate sector rotation or systemic stress.
  • Volatility spikes — consecutive large‑loser days across caps often precede broader corrections.

Use breadth indicators (advance/decline lines, new highs/new lows) alongside what stocks went down today lists to assess whether a move is idiosyncratic or market‑wide.

Regulatory and corporate‑event considerations

Special corporate events require extra diligence when interpreting daily losers:

  • Bankruptcy filings and Chapter 11 — typically produce near‑total equity value loss; data providers flag these events.
  • Trading halts and suspensions — a halted ticker may show stale prices; do not rely on last trade alone.
  • Delisting notices — exchanges may announce delisting, after which price behavior changes materially.
  • Reverse splits — can cause sudden percentage changes; adjusted price history is important for accurate percent comparisons.

When a loser list includes a corporate action, check the provider’s note and the issuer’s filings (8‑K) or company release dated with the reporting date.

Frequently asked questions (FAQ)

Q: Are these lists real‑time? A: Depends on the provider. Many news sites and broker platforms offer near‑real‑time updates, but free aggregator pages can have seconds to minutes of latency. For execution or time‑sensitive decisions, use your broker’s real‑time feed or a paid data provider.

Q: Why do penny stocks dominate biggest percent‑losers? A: Small floats and low liquidity mean even small dollar trades move price dramatically. A $0.10 sale on a $1.00 stock is a 10% move — common in low‑liquidity issues.

Q: How do I distinguish temporary dips from structural declines? A: Check the catalyst and fundamentals: Is the drop tied to a one‑time event (missed earnings, guidance cut) or structural issues (declining revenue, regulatory fines)? Also examine volume, insider activity and recent filings.

Q: Should I trade based solely on a daily losers list? A: No. Use the list for idea generation and follow with due diligence: read news, filings, analyst notes, and check liquidity before trading.

See also

  • Market breadth indicators
  • Stock screener best practices
  • Earnings calendar and how it affects intraday moves
  • Short interest and its role in volatility
  • Pre‑market trading and extended hours overview

References and data providers

Sources cited or used to inform this article include CNBC, Google Finance, Yahoo Finance, The Motley Fool, MarketBeat, Barchart, Business Insider, and StockAnalysis. Specific data points referenced (e.g., FIG / Figma metrics) are taken from publicly reported coverage as of the reporting dates noted in the article.

As of December 15, 2025, Motley Fool reported that FIG (Figma) traded around $37.83 with a market cap near $19B and showed intraday movements tied to post‑IPO dynamics and stock‑based compensation disclosures; volume and average volume figures cited were those reported by the same provider on that date.

This article’s methodology and recommended workflows reflect common practices across the named providers. For live and executable data, consult a real‑time brokerage feed or professional data subscription.

External links

For live lists of what stocks went down today, consult the day‑losers or movers pages on major finance platforms and the screeners provided by Yahoo Finance, Google Finance, MarketBeat and Barchart. Within the Bitget ecosystem you can monitor equity‑like instruments and set alerts via the Bitget platform and Bitget Wallet for related tokenized assets.

Further exploration: use Bitget’s market tools and alerts to monitor decliners, build watchlists and set price/percent‑change notifications.

Practical checklist: quick steps when you see a stock on a daily loser list

  1. Note the ticker, percent change and volume.
  2. Check the headline or provider note for a confirmed catalyst and record the reporting date.
  3. Verify session type (regular vs. extended hours) and expected open behavior.
  4. Review recent filings (8‑K, earnings release) and the earnings calendar.
  5. Inspect liquidity (Avg Vol, spread) and float to assess execution risk.
  6. Decide: add to research watchlist, short list, or ignore based on your rules.

Final notes and use policy

The content above is explanatory and not a substitute for real‑time market data or personalized investment advice. For current lists of what stocks went down today, consult live data providers, your brokerage platform, or Bitget’s market tools. All factual data cited include reporting dates and source attribution where applicable. This article maintains a neutral tone and is for informational purposes only.

Further exploration: track daily losers using a combination of a reliable screener (Yahoo Finance or Barchart for quick screens), editorial context (CNBC or The Motley Fool), and execution‑grade data via your broker or Bitget if you intend to trade.

If you want, I can provide downloadable example screener presets for a specific platform (e.g., Barchart or Yahoo Finance), a short checklist for building a day‑trading plan around daily losers, or a templated alert configuration for Bitget’s watchlists. Which would you like next?

The content above has been sourced from the internet and generated using AI. For high-quality content, please visit Bitget Academy.
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