what stocks went down the most: a practical guide
What Stocks Went Down the Most
This guide answers the common query what stocks went down the most and explains how exchanges and market-data providers compile “top losers” lists, why traders and investors follow them, and how to interpret and act on those signals responsibly. You will learn the common metrics used (percent vs absolute change), typical screening filters, causes of large one-day declines, pitfalls (especially with penny stocks), and a step-by-step methodology to create your own top-losers report.
Definition and Scope
The phrase what stocks went down the most usually asks for the names or tickers of equities that experienced the largest declines over a chosen timeframe. Most commonly this is one trading day (daily top losers), but the same question can apply to intraday moves, 7-day or monthly drops, and year-to-date results.
When compiling answers to what stocks went down the most, you must decide several scope elements:
- Timeframe: intraday (real-time), day (close-to-close), after-hours, 7-day, monthly, or YTD.
- Metric: percent decline or absolute dollar decline (both are useful for different audiences).
- Market: U.S. exchanges (NYSE, NASDAQ, AMEX), OTC/penny markets, or global exchanges.
- Filters: minimum price, minimum volume, market-cap cutoffs, or exclusion of halted and delisted securities.
If the query applies to cryptocurrencies, the same concepts hold (largest one-day percentage drops in tokens), but data comes from crypto markets and on-chain metrics rather than traditional exchange feeds.
Common Metrics and Measures
Percent Change (Relative Decline)
Percent change is the most common metric for answering what stocks went down the most. It measures the relative loss from one price to another and lets users compare a $2 stock that falls to $1 and a $200 stock that falls to $100 on the same scale.
Why percent change is favored:
- Normalizes across price levels.
- Highlights extreme relative moves in small‑cap names.
- Good for day‑trader and screener workflows that look for momentum or reversals.
Absolute Price Change
Absolute dollar change ranks stocks by the raw amount they lost (for example, a $50 fall). This measure is useful for large-cap or blue‑chip names where a large dollar move has significant portfolio impact even if the percent decline is modest.
When reporting what stocks went down the most, both metrics are often published side-by-side so readers see the names ranked by percent and by dollar loss.
Market-Cap Weighted Impact
A 10% decline in a mega‑cap stock will move an index far more than a 50% decline in a micro‑cap. Market-cap weighted impact measures how declines translate to index-level moves and to the broader market. When assessing what stocks went down the most from a systemic perspective, prioritize market-cap weighted losses.
Volume and Liquidity Filters
Volume filters remove misleading results from thinly traded securities. Extremely illiquid penny stocks can show massive percent swings based on a single trade or stale quoting. Common volume filters used when compiling what stocks went down the most:
- Minimum average daily volume over the last 10–30 days.
- Minimum intraday traded volume on the day in question (e.g., 100k shares).
- Minimum dollar-volume (price × volume) to ensure significance.
How "Top Losers" Lists Are Compiled
Data sources and providers
Market-data aggregators and financial portals collect real-time feeds from exchange data centers. Leading providers that publish top-losers lists include financial portals and screeners that aggregate exchange feeds, news, and corporate filings. These providers deliver ranked lists of what stocks went down the most, often with links to news, charts, and related fundamental metrics.
Example provider features commonly used for what stocks went down the most:
- Real-time or delayed price feeds.
- Volume and market-cap filters.
- Sector and exchange segmentation.
- News aggregation tied to each ticker.
(See the References and Data Sources section for a list of well-known providers.)
Typical filters and screen criteria
To produce a meaningful list of what stocks went down the most, screeners often apply the following defaults:
- Region/exchange selection (e.g., U.S. only).
- Minimum price threshold (e.g., > $1 or > $5) to exclude sub‑penny volatility.
- Minimum average daily volume (e.g., > 100k shares).
- Exclude halted, suspended, or delisted securities.
- Optionally filter by market-cap band (large, mid, small, micro).
These filters help avoid noisy results caused by stale quotes or illiquid tickers.
Intraday vs After-hours vs Official Close
Lists answering what stocks went down the most can differ depending on which session is used:
- Intraday: based on real-time bids and trades during regular hours (09:30–16:00 ET for U.S. markets).
- After-hours/pre-market: includes trades executed outside regular hours; can show dramatic moves on earnings or news.
- Official close-to-close: measures the daily percent change between official session closes (commonly used for day‑end reports).
Always check which session the provider uses when comparing what stocks went down the most across services.
Common Causes of Large One-Day Declines
Large one-day declines — the core of what stocks went down the most — usually stem from a handful of drivers. Understanding these helps separate meaningful selloffs from noise.
Company-specific news
- Earnings misses or revenue guidance cuts.
- Regulatory actions, fines, or legal rulings.
- Management departures or fraud allegations.
- Credit rating downgrades or covenant breaches.
A single headline after market hours can produce one of the largest answers to what stocks went down the most the next session.
Sector or macro shocks
Wider shocks can create clusters of losers across an industry. Examples include:
- Commodity price swings (energy, mining).
- Interest-rate surprises or central bank policy shifts.
- Geopolitical events or trade disruptions (for global operations).
When multiple names in a sector appear on lists of what stocks went down the most, consider a sector-level catalyst.
Technical and trading reasons
- Stop‑loss cascades where automated orders accelerate declines.
- Algorithmic selling and trend-following systems.
- Options expirations and gamma hedging flows.
- Margin calls forcing forced liquidations.
These market-structure factors can amplify declines and explain sudden entries on what stocks went down the most lists.
Market structure and liquidity effects
- Low float: fewer shares available to trade means price moves are larger for a given order size.
- Thinly traded names: small trades can swing the price dramatically.
- Trading halts and delistings: a halt followed by a gap down can make a company rank among what stocks went down the most.
Interpretation and Pitfalls
Penny-stock and low-liquidity distortions
Extreme percent drops on manuals of what stocks went down the most are often microcaps and penny stocks. These can be misleading because:
- A single block trade can move the price materially.
- Bid/ask spreads are wide and pricing can be stale.
- Short-term “pump-and-dump” schemes can cause sudden reversals.
Always check volume, float, and market-cap when a name appears in lists of what stocks went down the most.
One-day moves vs trend significance
A large one-day decline does not automatically mean long-term failure. Distinguish between:
- Event-driven drops (earnings miss, one-off charge) that may be followed by recovery.
- Fundamental deterioration (cash-burn, repeated misses) that point to persistent decline.
Use the top-losers list as a lead to further due diligence, not as a sole basis for judgment.
Survivorship and delisting bias
Historical lists of what stocks went down the most can be skewed by delistings. When a company is delisted or files for bankruptcy, its reported price can collapse to near zero and distort historical comparisons. For accurate historical analysis, account for survivorship bias and adjust datasets for delisted securities.
How Investors Use Top-Losers Lists
Short-term trading and volatility strategies
Day traders and momentum traders scan lists of what stocks went down the most for potential opportunities such as:
- Momentum continuation traders who follow the trend.
- Mean‑reversion traders who look for bounce candidates.
- Volatility traders who use options or straddles where liquidity allows.
Because rapid moves carry high risk, experienced traders combine the list with volume, news, and technical context.
Value and contrarian screens
Long-term investors sometimes use top-losers lists to identify oversold but fundamentally strong companies. This requires:
- A careful check of balance-sheet strength and cash flow.
- Confirmation that the decline is not driven by structural harm to the business.
Contrarian approaches require rigorous fundamental analysis beyond just looking at what stocks went down the most.
Risk management and watchlists
Investors use top-losers screens as early warning systems to review holdings that have had sharp downside. A stock appearing among what stocks went down the most may trigger a portfolio review for stop-loss rules or re-evaluation of thesis.
Variations and Specialized Lists
Biggest losers by sector/industry
Filtering what stocks went down the most by sector (e.g., technology, energy, biotech) helps identify whether declines are idiosyncratic or sector-wide.
Biggest losers by market cap (large, mid, small)
Large-cap declines are often driven by macro or index-related flows; small-cap declines are more likely driven by company‑specific news and liquidity issues.
Regional and global variants
What stocks went down the most can be applied to other exchanges and regions. For global comparisons, account for currency moves and local trading rules.
Notable Historical Examples (illustrative)
Below are curated examples of well-known single-day declines to illustrate how big losers can impact sentiment and markets:
- Black Monday (1987): Major index percent drops across global markets.
- 2008 financial crisis days: Extreme declines in mortgage and financial stocks.
- Selected company-specific collapses: Instances where fraud or bankruptcy led a ticker to appear among what stocks went down the most on multiple days.
These examples underscore that the context and cause matter when a stock ranks among what stocks went down the most.
Tools, Resources, and Real-time Data Providers
The following types of providers commonly publish ranked lists of what stocks went down the most and offer screening tools. Providers typically display real-time ranking, filters, charts, and news links.
- Major financial portals with “Top Losers” pages.
- Charting platforms and screeners offering custom filters.
- Market-data vendors that aggregate exchange feeds and corporate news.
When checking what stocks went down the most, compare multiple providers because intraday rankings can vary by feed delay, session selection, and applied filters.
Practical Market Context: Recent Policy Shock and Market Reaction
As of January 15, 2026, according to Bloomberg, the U.S. administration announced a large mortgage bond purchase program directed at Fannie Mae and Freddie Mac. The announcement, which included a proposed $200 billion mortgage-backed securities (MBS) buying program, produced immediate market reactions. Mortgage rates dropped from 6.21% to 6.06% and related homebuilder and mortgage-lender shares surged. At the same time, policy-driven shocks like this can influence what stocks went down the most in adjacent sectors (for example, a surprise program that benefits lenders can shift flows away from other financials or segments).
This example shows how policy news can produce winners and losers. When compiling what stocks went down the most on a given day, include macro headlines and policy moves as potential explanatory factors.
Sources for the above market context: As of January 15, 2026, according to Bloomberg reporting of the policy announcement and market reaction.
Methodology for Creating a Custom "Top Losers" Report
Follow these steps to produce a robust list answering what stocks went down the most tailored to your needs.
- Choose market scope and timeframe
- Decide exchange(s): U.S. only or global.
- Choose timeframe: intraday, close-to-close, or multi-day window.
- Set metric and ranking
- Pick percent change for relative decline, and/or absolute dollar decline for absolute impact.
- Define filters
- Minimum share price threshold (e.g., > $1 or > $5).
- Minimum average daily volume (e.g., > 100k shares).
- Market-cap cutoffs if focusing on large or mid-cap names.
- Exclude halted or delisted securities to avoid anomalous results.
- Include context filters
- Add news/earnings filters to flag company-specific catalysts.
- Add sector filters to spot cluster declines.
- Verify data and news
- Cross-check with exchange-level data and corporate filings.
- Confirm that large drops are not caused by misprints or reporting errors.
- Present results
- Provide ticker, company name, percent change, absolute change, volume, market cap, and top news headline.
- Include timestamp and session (intraday/after-hours/close).
- Update frequency and automation
- For intraday monitoring, automate updates with a real-time feed and automated filters.
- For daily reporting, use official close-to-close calculations and append a short narrative of drivers.
Following this methodology produces a consistent and interpretable answer to what stocks went down the most for your chosen audience.
See Also
- Top Gainers
- Market breadth indicators (advancers/decliners)
- 52-week high/low lists
- Short interest and short-squeeze metrics
- Trading halts and circuit breakers
References and Data Sources
Typical data sources for lists of what stocks went down the most include major financial data aggregators, real-time screeners, and market analytics platforms. These providers offer ranked daily losers lists, charts, and news aggregation. When using these sources, check the session and filtering settings used to compile the lists.
Common providers used by market participants for "top losers" data:
- Real-time financial portals that publish "Top Losers" or "Day Losers" pages.
- Charting platforms and trading screeners that allow custom filters.
- Market data vendors and exchanges for verified trade and volume data.
(Provider names listed earlier in planning are often consulted by traders and researchers; when using them, verify session timing and filter settings.)
Notes and Limitations
- Timeliness: Lists of what stocks went down the most change intraday. Always note the timestamp and session.
- Real-time vs delayed: Some free data is delayed by 15–20 minutes; pay attention to feed latency for trading decisions.
- Data completeness: Cross-check price, volume, and corporate news before acting on a top-losers report.
- No investment advice: This guide is informational and not a recommendation to buy or sell any security.
Appendix A: Example Screener Presets
- Intraday percent losers, U.S. exchanges, price > $5, average volume > 200k.
- Daily percent losers, small-cap only (market cap < $2B), exclude halted securities.
- After-hours movers: top negative percent moves in after-market session with news flag.
Appendix B: Glossary
- Percent change: (New price − Old price) / Old price × 100%.
- Float: Shares available for public trading.
- Market cap: Share price × total outstanding shares.
- Trading halt: Exchange suspension of trading in a security.
Further exploration: to monitor what stocks went down the most in real time, use a reliable market feed and complement price moves with verified news and filings. For traders and investors who trade equities, platforms that integrate news, charts, and risk controls provide the best balance between speed and verification.
Practical next steps: If you want to monitor top losers efficiently, set up a custom screener with price and volume filters, add news alerts for flagged tickers, and use a platform with fast market data. For crypto-related equivalents, include on-chain metrics and token liquidity checks.
Explore Bitget’s market tools and Bitget Wallet for secure custody and market data integration when you trade equities-related derivatives and cryptocurrencies through regulated channels.




















