Signal8

Two market-wide institution leaderboards in one call: topByAum (largest holders by assets under management, name-deduped) and mostActive (highest 13F position-change volume). No CIK required. For the full paginated AUM list use get_institution_top_aum.

Get intraday OHLCV candles at 1, 5, 15, 30, or 60-minute resolution. Use for intraday price action analysis, volume patterns, and short-term technical analysis. Returns open, high, low, close, and volume for each bar. Set extended=true (1-minute resolution only) to include premarket (04:00–09:30 ET) and after-hours (16:00–20:00 ET) bars.

Get one Signal8 Academy guide as Markdown, by track and slug (both come from search_learn_guides, or from a signal8.ai/learn/<track>/<slug> URL). Returns title, description, section, lastVerified, the public url, the full Markdown body (links already rewritten to absolute signal8.ai URLs), the related guides, the glossary terms it uses (with one-line definitions) and its SEC sources (accession numbers). Guides use hypothetical examples ("Company X") unless a source is cited; they are education, not advice about any named company. When you quote or paraphrase a guide, cite its url. Works without an API key.

Forward-looking legislative catalyst calendar: upcoming House/Senate floor votes (bills and Senate cloture motions) filtered to items that can move tickers. Each item includes the predicted vote window (start/end/granularity/confidence/provenance), marketRelevance (low/medium/high), significance (1-5), affected sectors with direction + mechanism, verified affected tickers with evidence quotes, pass outlook, considerationProcedure (suspension-calendar bills pass ~98% of the time), a conflictBadge when the sponsor traded a verified affected ticker, and tweet/plain summaries. An EMPTY calendar is a normal state — it means nothing market-relevant is scheduled in the window, not an error. Defaults: from=today, to=+14 days, minRelevance=low. IMPORTANT: affectedTickers contains VERIFIED rows only — every ticker carries a verbatim evidenceQuote substring-verified against the actual bill text (no hallucinated tickers). sponsorTradeFacts are restatements of public STOCK Act disclosures with verbatim amount brackets and BOTH transactionDate AND disclosureDate — always cite both dates together (disclosures lag trades by up to 45 days), and never present a fact as evidence of wrongdoing. Vote windows are predictions: check window.provenance for trust level ('uc_explicit' is exact; 'rule_xxii_computed' is a medium-confidence estimate) and window.granularity for how precise the window is (exact time vs day vs week).

Get market breadth aggregates (advance/decline counts and ratio, percent of constituents above their 50DMA and 200DMA, and counts of new 52-week highs/lows) for a chosen universe (sp500, ndx, or all). Use to add market-state context to commentary, tweets, or daily summaries.

Get computed market metrics for a company including volume averages, volatility, SMAs, and trend direction. Use when analyzing trading patterns or technical indicators beyond the basic quote.

Get the latest market-wide news across ALL tickers, most recent first. Every item is significance-classified at ingest (critical | major | standard); the default filter of critical,major is the "top stories" view. Use for "what is happening in the market right now" — for news about one company, use get_news with a ticker instead. Requires the /news/latest public endpoint (added 2026-07-29; 404 until that backend deploy).

Get recent news articles and press releases for a company. Use when researching recent developments, catalysts, or sentiment drivers. Set pressReleasesOnly to return only official company press releases.

Get unified ownership breakdown for a company combining Form 4 insider holdings, 13F institutional holdings, and 13D/13G activist positions. All entities are resolved across the three SEC form types into a single view with counterparty resolution. The allHolders array is paginated via limit/offset (default 100). Aggregate stats (institutional/insider/beneficial totals and percentages, plus the `retail` residual) are always included in full. `retail` is the UNATTRIBUTED residual: shares no filing accounts for, which includes recent offering buyers and acquisition holders who have not filed as well as retail investors — an upper bound on retail, never a retail count. When `retail.reason` is `filed_exceeds_outstanding` the residual is withheld (null) because the counted filings exceed the shares outstanding. 🔴 A bucket (`institutional` / `insider` / `beneficial`) whose shares exceed the shares outstanding by more than a 2% timing tolerance has its `percentOfOutstanding` WITHHELD — null, with `percentWithheldReason: "ownership_exceeds_outstanding"` — and its `totalShares` still published: the percent would not be a measurement (filings on another share basis such as ordinary shares against an ADS count, another class reported under this one, shares lent and reported by both lender and buyer, or filings dated before a buyback or redemption). Report the share figure and the reason; NEVER present such a bucket as 100%, as 0%, or as any percent. When any bucket is withheld, `retail.reason` is `ownership_exceeds_outstanding` and `filedSumPercent` is absent. A null percent with NO `percentWithheldReason` means no share count was available — not measured for a different reason. `sharesOutstanding` is the denominator of every percentage and is DATED: `sharesOutstandingAsOf` + `sharesOutstandingAsOfKind` ("stated" = the issuer's statement date; "checked" = when the figure was last confirmed against a vendor; "none" = date not recorded) and `sharesOutstandingSource` (a vendor-free label). Never present a count without its date. `beneficial.staleShares` / `stalePercentOfOutstanding` / `staleHolderCount` is a MEASURED SUBSET of the counted 5%+ total resting on 13D/G schedules >= 24 months old with no newer reaffirming filing by the same holder family — not a deduction; the total still includes it. A row's `reaffirmedBy` names the newer family filing; `staleFiling.ageMonths` marks a counted row with none. `stalePercentOfOutstanding: null` is not measurable (no share count), never zero.

List mirrored executive orders (policy events) from the Federal Register feed. Filter by signing-date range, affected sector, or free-text title query. Each event includes its Federal Register document number (externalId), title, signing date (eventDate), normalized affected sectors, full-text URL, and flaggedTradeCount — the number of official trades that occurred in an affected sector near the signing date. IMPORTANT: matches are sector-level co-occurrence — the official traded a stock in a sector the executive order affects, within a window of its signing date. Sector matches are broad and many trades will coincide with policy activity by chance; a match is a starting point for research, not evidence of foreknowledge. The matchBasis field describes match strength only ('sector' = broad sector match), never culpability, and matchCount shows how many EOs matched in the window (a noise indicator).

Rank politicians (Congress + executive branch) by trades that occurred near executive-order signings in sectors the orders affect. Each row includes the politician, flaggedTradeCount, totalEstimatedUsd, topSector, and an exampleEvent. Use for "who trades most around policy activity" style questions. Defaults to the same "traded 1-14 days before signing" lens as get_policy_trade_overlap; same-day trades are always excluded. IMPORTANT: matches are sector-level co-occurrence — the official traded a stock in a sector the executive order affects, within a window of its signing date. Sector matches are broad and many trades will coincide with policy activity by chance; a match is a starting point for research, not evidence of foreknowledge. The matchBasis field describes match strength only ('sector' = broad sector match), never culpability, and matchCount shows how many EOs matched in the window (a noise indicator).

For a single politician, list trades that occurred within a window of days before or after the signing of an executive order affecting the traded sector. Each row contains the trade, the nearestEvent, daysDelta (negative = traded N days before EO signing, positive = traded N days after), matchBasis, and matchCount, plus a summary (totalFlags, totalEstimatedUsd, topSector). Defaults to trades 1-14 days BEFORE signing; same-day trades are always excluded (intraday ordering is unknowable). Executive-branch (exec-) slugs return REAL data here: both congressional and executive trade sources feed the overlap computation. IMPORTANT: matches are sector-level co-occurrence — the official traded a stock in a sector the executive order affects, within a window of its signing date. Sector matches are broad and many trades will coincide with policy activity by chance; a match is a starting point for research, not evidence of foreknowledge. The matchBasis field describes match strength only ('sector' = broad sector match), never culpability, and matchCount shows how many EOs matched in the window (a noise indicator).

Which market SECTORS politicians have been trading in over a trailing window. Aggregates congressional + executive trades by sector and returns, per sector: trade count, total dollar volume, number of distinct politicians, and the top tickers. Use it to see where political trading activity is concentrating (e.g. "politicians piled into Energy this month"). Sort by count or dollar volume.

Get activity metrics for a politician broken down by period (30d, 90d, 1y, all-time). Includes buy/sell counts and values per period, most traded tickers (top 10), and transaction type breakdown. Useful for analyzing trading patterns over time.

Get committee assignments for a politician including committee name, chamber, role (Chair, Ranking Member, etc.), and subcommittee memberships. Use to correlate trading activity with committee oversight areas. Requires a politician slug (e.g. "sen-nancy-pelosi") -- use get_politicians first to find the slug.

Get the full profile for a politician including party, state, chamber, trade statistics, filing delay metrics, most traded sector, and their 10 most recent transactions. Use get_politicians first to find the slug (e.g. "sen-nancy-pelosi").

Per-DISCLOSURE feed of politician trades: one item per congressional STOCK Act periodic transaction report (PTR) or executive-branch OGE Form 278-T that contains at least one trade whose bracket LOWER bound is >= minAmount. Each item carries the politician, filing link, filing delay, and ALL trades of the report sorted largest bracket first, with qualifyingTradeCount for how many clear the threshold. Built for polling: pass the returned nextCursor back as `since` and each disclosure is returned exactly once (for the same minAmount and kinds); keep nextCursor even when items is empty, and call again at once when hasMore is true. Without `since` only disclosures that became complete in the last 48h are returned. A report is emitted only after no new row of it has arrived for a settle window (~8h), so items lag the filing by hours; a report that GROWS materially afterwards (+25 trades or +20%) is emitted once more with a higher `revision`, and `replacesPrevious: true` when you already had it — replace it by `id`. filingDelayDays (longest lag), isLateFiling (>45 days) and lateTradeCount EXCLUDE trades with transactionDateSuspect=true: a date lagging its own otherwise on-time report by ~one year is a probable mistyped year upstream, listed as filed and counted in suspectDateCount — never quote it as a filing lag. owner null means the filing did not state one ("Not stated"), NEVER "Self". Render amountRange (the filed bracket); amountMin null means the bracket was not parsed (never $0), amountMax null means "Over $50,000,000" or unparsed, ticker null means a non-equity asset.

Get a bundled donor summary for a single politician: cycle totals (raised, spent, cash-on-hand, debts), donor count, top 10 individual donors, and top 10 PAC donors — all in one response. This is the right tool for "who funds <politician>" or "biggest donors to <politician>" style questions. For the full paginated list, use get_politician_donors.

Get the paginated list of campaign donors (individuals and PACs) for a single politician across one election cycle. Returns donor name, amount, type, employer/occupation (individuals), and committee details (PACs). Use this when a user asks "who donated to <politician>" or wants the full donor list. For a quick top-10 + cycle totals overview, use get_politician_donor_summary instead.

Get STOCK Act late filing violations -- trades where the disclosure was filed more than 45 days after the transaction (a legal violation). Sorted by filing delay descending. Excludes trades whose transaction date is suspect (a probable mistyped year upstream: ~one year off the rest of its own on-time filing) -- their delay is not measured. owner null means not stated, never "Self". Useful for identifying politicians with poor disclosure compliance.

Get estimated realized + unrealized profit & loss for a politician. Methodology: each disclosed trade amount range is converted to an estimated share count using the stock's historical market price on the transaction date, then FIFO-matched on SHARES (realized = (sellPrice − buyPrice) × matched shares); open positions are marked to the current price for unrealized P&L. Works for Congress (sen-/rep-) AND executive branch (exec-) officials. Response includes a `totals` object (estimatedRealizedPnl, estimatedUnrealizedPnl, winRate, realizedTrades, tickersTraded) and a `byTicker[]` breakdown (estimatedShares, avgCostBasis, currentPrice, realizedPnl, unrealizedPnl, unrealizedPnlPercent) — byTicker open positions double as the estimated holdings. All figures are ESTIMATES (±25-40% from disclosure bracket width). Use get_politicians first to find the slug.

Get recent STOCK Act trades across all politicians. Each trade includes the senator info, ticker, transaction type, amount, and filing delay. Filter by direction (buy/sell) and lookback period. Useful for monitoring current congressional trading activity.

Get committee leadership roles (Chair, Ranking Member, etc.) for a politician. Use get_politicians first to find the slug.

Top 5 and bottom 5 politicians (Congress + executive-branch officials) by ESTIMATED trading P&L over a trailing window (default and only supported window: 90 days), plus SPY's return over the same window as a benchmark, and imageUrl — a ready-to-attach 2160x2700 PNG card of the same ranking (null when unavailable; card.reason says why). ALL P&L FIGURES ARE ESTIMATES (estimate: true, estimateRange "±25–40%"): disclosed amount RANGES are converted to shares at the historical close, FIFO-matched, and open positions marked to the latest quote. State that they are estimates whenever you publish them; the card already prints "Estimates from disclosed amount ranges (±25–40%). Not investment advice." WHAT THE METRIC IS (read `metric`): P&L on trades DISCLOSED INSIDE the window only — realized on round trips opened and closed in the window plus unrealized on positions opened in the window. It is NOT lifetime P&L; sales of positions bought before the window are not counted. Eligibility: at least 5 trades in the window (eligibility.minTradesInWindow), so a single lucky trade cannot top the board. Each row: slug, fullTitle ("Senator", "Representative", or an executive official's filed title), fullName, displayName, party and state as full words, estimatedPnl, winRate (0-1; null = no position closed in the window — not measured, never 0%), tradesInWindow, unrealizedMeasured, and portraitUrl (always null for executive officials). Use the full title and full party/state words — never "Sen." or "D-CA". benchmark.available false means SPY was NOT measured (benchmark.reason) — never 0%. available false with reason "pending" means the window has not been computed yet, not that nobody traded.

Get paginated trade history for a specific politician. Returns individual STOCK Act disclosures with ticker, transaction type, amount range, filing delay, and late filing flag. Includes a summary with total buys/sells and net value.

Get voting records for a politician by slug. Returns congressional votes with bill info, position (Yea/Nay/Not Voting), and result. Useful for assessing alignment between a politician's votes and their trading positions. Requires Bioguide ID resolution.

List and search congressional politicians who have STOCK Act trading disclosures. Filter by party (D/R/I), state, or search by name. Returns paginated results with trade counts, last trade date, and net buy/sell direction over the trailing 12 months.

Discover the most active congressional traders ranked by trade count within a lookback period. Returns each politician with trade count, tickers traded, buy/sell values, and top tickers. Useful for identifying the most prolific political traders.

Rank politicians (Congress + executive branch) by estimated trading P&L across the universe. Sort by total P&L, win rate, or traded volume. P&L uses price-adjusted share estimation: disclosed amount ranges → estimated shares via historical price → FIFO on shares → open positions marked to current price. Figures are ESTIMATES (±25-40% from disclosure bracket width).

Get stocks that moved significantly after earnings reports on a given date. Returns pre-computed price changes with earnings surprise data in a single call — no need to chain get_earnings_calendar + get_historical_prices + get_quote per ticker. Includes preEarningsClose, currentPrice, changePct, EPS/revenue actuals vs estimates, and surprise percentages. Filter by minimum absolute % change threshold.

Historical MARKET-WIDE premarket scan for a single PAST trade date. For the requested ET date, returns every ticker with that day's premarket (default) session volume and its relative volume (RVOL) vs the trailing 30-day same-session baseline — the SAME RVOL math as get_rvol_history, but across the whole market for one date instead of one ticker across many dates. Filter by RVOL, market cap, price, and float to backtest screens like "sub-$500M tickers with premarket RVOL > 5 on 2026-07-20" in one call. Rows are ranked by RVOL descending. A future or non-trading date returns an empty list with an explanatory reason (not an error). Every row also reports "baselineState" (why its RVOL is or is not null), "advRatio" (volume ÷ trailing 30-session average FULL-DAY volume) and "advDays"; set includeNoHistory=true to surface high-volume tickers that have no computable RVOL at all, such as first-session new listings. Each row ALSO publishes the RVOL denominator itself as "baselineVolume" (shares) plus a "baselineThin" flag (true when that denominator is under 200 shares): a 90x RVOL off a 1-share baseline is arithmetically correct and analytically worthless. That is almost entirely an asOfTime-basis effect (0.1% of full-session rows vs ~38% at the 04:30 cutoff, falling to ~9% by 09:15) and it skews to LIQUID LARGE CAPS that simply do not trade early, NOT to microcaps. Screen it out with minBaselineVolume and/or minSessionVolume. The response "meta" also reports asOfApplied / asOfIgnored / asOfIgnoredReason, so a time-of-day request that could not be honoured is visible instead of quietly returning full-session numbers. A price / market-cap / float filter can only be applied to a ticker company_screener_data holds a value for, so a just-renamed or just-listed symbol cannot be rated against it. Those rows are NEVER silently dropped: "meta.unscreened" always reports their count, the filter families involved and the tickers, and includeUnscreened=true returns them in "rows" tagged with "unscreenedFilters". Treat that tag as NOT MEASURED — the value is unknown, not out of range. Charged per your API tier.

Get the live premarket scanner board — the top premarket gainers and losers by absolute gap %, each row enriched with rvol, marketCap, floatShares (the measured POINT float, null on a withheld dilution-snapshot row — such a row then carries "floatEstimate" {shares, bound: "point" ~ | "ceiling" <= | "floor" >=, basis}, the snapshot's own labelled figure: present it as the number with its marker, never as a point, never in arithmetic; neither present = not measured, never 0. The low-float board admits on that figure's VALUE: a <= 8M ceiling is in, a >= 26M floor or a ~27M estimate is out), short interest, dilution, and news/catalyst flags. Listing-compliance data (row "compliance", the compliance/split badges, "reverseSplitSignal", "deficiencySignal") is Signal8 Pro: for any other caller "compliance" is null with "complianceWithheld": "pro_required" — WITHHELD, which is not "not measured" and never "no deficiency". Off-hours it falls back to the last session. Use for premarket small-cap runner discovery. Set includePennyStocks=true to include sub-$1 names (separate cache slot). During the 04:00–09:30 ET premarket window rows also carry two LIVE volume metrics off the same live cumulative-volume numerator — they are DIFFERENT quantities and must not be substituted for each other or for "rvol": "liveRvol" = live cumulative premarket volume ÷ the trailing 30-session average cumulative volume AT THE SAME TIME OF MORNING (answers "is it busy for 08:00?"), with "liveRvolAsOf" giving the 15-minute ET grid cutoff that baseline came from — compare it to meta.asOf (when the live volume was sampled) to judge the small numerator/denominator time skew; and "premarketPaceRatio" = the same live volume ÷ the trailing 30-session average FULL premarket session (answers "what fraction of a typical entire premarket has it already done?", >1.0 = it already beat a normal premarket before the open). Both are null outside the premarket window or until the baseline is warm — never a fabricated ratio. Set universe="lowfloat" for the separate LOW-FLOAT board (float under 10M shares, no top-100 slice) instead of the default movers-derived board; that board is served from the aggregator snapshot and returns an empty rows array with a meta.reason when no snapshot is currently published (a normal off-hours state, not an error). Charged per your API tier.

Get analyst price target data for a ticker. By default returns the consensus / split-adjusted average price target. Set list=true to return the full per-analyst list of individual price targets instead.

Get the current stock quote for a company including price, volume, change, market cap, and other real-time market data. Use this when a user asks about a stock's current price or trading activity. Always includes halted/haltCode/haltReason/haltedAt/resumptionAt trading-halt fields (false/null when trading normally); a halted ticker returns the last-known quote instead of an error, or currentPrice:null + halted:true when nothing is recoverable. marketCap is the live price × the SEC-derived share count; when that count is unavailable it is null with marketCapWithheldReason set — NOT MEASURED, never "no market cap" and never $0. The count itself rides as `sharesOutstanding` with `sharesOutstandingAsOf` + `sharesOutstandingAsOfKind` ("stated" = the issuer's statement date; "checked" = when it was last confirmed against a vendor; "none" = date not recorded) and a vendor-free `sharesOutstandingSource` — quote the date with the count. When no MEASURED count exists, `sharesOutstanding` and `marketCap` are a BEST ESTIMATE (the newest dated filed or reference count, moved onto today's split basis): `sharesOutstandingEstimated: true`, `sharesOutstandingEstimateKind` ("at_least" = the filings record later issuances of unstated size, so the true count is likely higher) and `marketCapEstimated: true`. Say it is an estimate and give its date.

Get recent congressional roll-call votes across all members, sourced from GovTrack (both chambers as available — currently Senate-heavy). Each vote includes member, bill info, position, and result.

Recent material 8-K filings (last 7 days) for the constituents of an index universe. By default returns the high-signal 8-K item codes (material agreements, M&A, executive changes, restructurings, etc.); pass `items` to filter to specific 8-K item codes. Choose the universe with `universe`.

Get OTC-to-exchange uplistings that FINRA recorded on a given US market day, for companies under a market-cap ceiling. Each row carries the old OTC symbol, the resolved new exchange symbol (or null), a confirmed flag, the destination venue (NASDAQ / NYSE / NYSE American / ARCA), company name, effective date, market cap and float in SHARES. 🔴 THIS IS A SAME-DAY READ AND THERE IS NO FORWARD-LOOKING VERSION. FINRA records an uplisting at roughly 01:45 ET ON the day it becomes effective, and the source table has no scheduled/announced column at all. So there is nothing to publish the night before, and dayOffset exists for catch-up reads of past days, NOT for forecasting — a positive offset returns nothing. Never frame these as upcoming, tomorrow, or expected; they have already happened. 🔴 newSymbol: null IS A FIRST-CLASS PUBLISHED STATE, NOT A MISSING FIELD. FINRA's row names only the OLD OTC symbol; the new ticker is resolved by company-name match against Nasdaq SymDir and sometimes cannot be resolved. A guessed or wrong ticker would name a company that did not uplist, so an unresolved row is published naming the OLD symbol and saying the new one was not resolved. DO NOT infer, guess, look up, or fill in a null newSymbol, and do not drop the row. confirmed: false means the symbol resolution is PROVISIONAL — render it as provisional, keep it out of any headline, and do not assert the new ticker as fact. Only confirmed: true is a confirmed resolution. 🔴 capUnknownCount IS A WITHHOLDING COUNT, NOT A ZERO — rows that cleared every other filter but have NO measured market cap, so they cannot be asserted to sit under the stated ceiling. It does not mean those companies have no cap. Disclose the count if you publish a cap-bracketed framing. AN EMPTY uplistings ARRAY IS THE NORMAL, EXPECTED RESULT ON MOST DAYS — uplistings run roughly 6.6 per month across ALL market caps, so the large majority of days genuinely have none. It is NOT an error, NOT an outage, and NOT evidence that uplisting activity has stopped. Publish nothing rather than publishing an empty-list framing.

Get the most recently introduced bills across all congressional sponsors. Each bill includes the sponsor block (bioguideId, fullName, party, state, politicianSlug) so persona agents can link directly to the sponsor detail page. politicianSlug is null when the sponsor is no longer in the active roster (typically ex-members). Requires CONGRESS_API_KEY on the backend.

Get the per-day relative-volume (RVOL) time series for a ticker, bucketed by trading session (premarket 04:00–09:30 ET, regular 09:30–16:00, afterhours 16:00–20:00, or all four). Each day's RVOL compares that session's volume to a trailing same-session baseline (30 trading days by default — configurable via "baselineDays"), so premarket volume is judged against premarket history (not a stale full-day figure). Use for spotting unusual premarket / session volume surges over the last N days. Each point also carries "baselineState" — "ready" (rvol is populated), "warming" (baseline not yet warm), "no-cutoff-history" (established ticker that never traded at this session/cutoff before) or "no-history" (new listing, no prior trading history at all) — so a null rvol is explained rather than silent. Points additionally carry "advRatio" (that day's volume ÷ the trailing 30-session average FULL-DAY volume, null when no full-day denominator exists) and "advDays" (its sample size), which give a magnitude to points RVOL cannot rate. advRatio is NOT an RVOL — it compares a partial session to a whole day, so it is typically well under 1 and must not be compared to rvol. Charged per your API tier.

Reverse lookup — find which politicians recently traded a given TICKER. Returns recent STOCK Act disclosures for that symbol with politician info, transaction type, and amount.

Get short interest data for a company including short volume, short ratio, days to cover, and short percent of float. Use when analyzing bearish sentiment or potential short squeeze setups. 🔴 "shortInterestPercent" null ALWAYS carries "shortInterestPercentReason" (since 2026-10-04): "float_not_point" = the float on record is a snapshot BOUND or ESTIMATE (<= / >= / ~), and a percent-of-float is never struck off a bound — do NOT divide "shortInterest" by a ceiling, floor or estimate from get_float yourself; "float_unavailable" = no float of any kind on record; "short_pct_of_float_unreconciled" = a point float existed but the ratio was implausible or the split basis could not be resolved; "float_class_scope_mismatch" = the float on record POOLS more than one separately listed share class (e.g. Class A + Class D) while short interest is reported for this symbol's class only — do NOT divide "shortInterest" by get_float's figure yourself for that ticker. A null percent is NOT MEASURED, never 0%.

Get stock split history for a company including forward and reverse splits with dates, ratios, type classification, and cumulative 2-year reverse split ratio. Relevant for NASDAQ/NYSE minimum bid-price compliance (1:250 cumulative reverse-split cap). IMPORTANT: `cumulativeReverseSplitRatio2yr` is null when it CANNOT BE STATED, which is NOT the same as no reverse splits — read `cumulativeWithheldReason` to tell them apart. `unconfirmed_splits_in_window` means at least one in-window reverse split is evidenced by only one source, so no cumulative is defensible: the confirmed splits alone would understate it, and understating a cumulative can put an issuer that breaches the 1:250 cap under it. Each row also carries `confirmed`; a `confirmed: false` split appears only in the announcement calendar, which retains every announcement and retracts none, so it is usually an amended or superseded announcement and occasionally a real split the effected-splits ledger missed. Both are returned. `ratioDisplay` and `type` are likewise null for a ratio whose exact factor cannot be determined.

Get percentage price changes for a stock across multiple timeframes: 1D, 5D, 1M, 3M, 6M, YTD, 1Y, 3Y, 5Y, 10Y, and MAX. Use this for quick "how much is it up/down" answers without fetching full candle data.

Top stock movers — gainers (largest % up), losers (largest % down), or active (highest volume). Optional session window (premarket / regular / afterhours; regular default; not supported for active). Optional date (YYYY-MM-DD) returns a PAST trade date's gainers/losers on a historical daily close-to-close basis (computed from split-adjusted daily bars, NOT intraday) — session is rejected when date is set, date is not supported for direction=active, and a non-trade date (weekend/holiday) returns an empty list (not an error). Penny-stock artifacts are filtered by default — set includePennyStocks to include sub-$1 movers.

List currently-active trading halts across NASDAQ/NYSE/AMEX (from the consolidated Nasdaq Trader halt feed). Each halt includes ticker, market, haltCode (T1/T2/T12/LUDP/H10/...), human-readable reason, haltedAt, and the scheduled resumptionAt when one is set. An EMPTY list is a normal state (no active halts right now), not an error. Halts are tradeable catalysts — use this to discover halted names, then get_quote for the frozen last price.

Get reverse stock splits SCHEDULED to take effect within a day-offset window of the current US market day, for companies under a market-cap ceiling. Offsets are days from today on the US market calendar: fromOffset=1, toOffset=1 is tomorrow; fromOffset=1, toOffset=7 is the week ahead. Each row carries the ticker, company name, the exact vendor integers (splitFrom/splitTo), a pre-rendered ratio ("1-for-20"), the effective date, market cap, float in SHARES, and price. 🔴 floatShares: null MEANS NOT MEASURED OR WITHHELD — never zero, never "no float". Such rows ARE included (they have a valid market cap); floatWithheldReason says why. Do not substitute a float from another source. floatUnknownCount counts those null-float rows IN the list; it is not a withholding count (withheldCount is). price is on the SAME split basis as the market cap (null when it cannot be stated on one basis), so never pair it with a pre-split price from elsewhere. WHAT THIS IS: rows are splits scheduled AS OF NOW — not a guarantee that every split effective in the window is already known. The underlying stock_splits table has NO created_at column, so there is no way to measure when a row first appeared, and a split announced later will simply be missing. Describe results as "scheduled as of now", NEVER as "all of" or "every" reverse split. A scheduled split can also be postponed or cancelled after it is announced. 🔴 capUnknownCount IS A WITHHOLDING COUNT, NOT A ZERO. It counts rows that passed every other filter and were DELIBERATELY EXCLUDED because Signal8 has no measured market cap for them — typically real OTC microcaps. It does NOT mean those companies have no dilution, no split, or no cap; it means the cap was not measured, so they cannot be asserted to sit under the stated ceiling. If you publish a "under $Xm" framing and capUnknownCount is above zero, say that N further companies were withheld for unmeasured market cap — do not present the list as complete and do not describe the withheld rows at all. Funds, ETFs and sub-1.5x fractional ratio adjustments are already removed server-side; do not re-filter or re-derive the ratio. AN EMPTY splits ARRAY IS A NORMAL, COMMON RESULT — most single weekdays have no sub-cap reverse split scheduled at all. It is NOT an error, NOT a failure, and NOT evidence that reverse-split activity has stopped. Publish nothing rather than publishing an empty-list framing.

Get volume distribution across price levels for a single trading day. Returns price buckets with volume, Point of Control (highest volume level), and Value Area (price range containing 70% of volume). Use for identifying support/resistance and high-volume price nodes.

Look up a filing or exhibit by its SEC accession number. Supports both dashed format (e.g., "0001193125-22-010026") and compact 18-digit format. Returns filing metadata including company name, form type, filing date, exhibit count and `filingId` (for get_filing_document / get_filing_exhibits). If the filing is held in Signal8's archive (isInDatabase: true) its content can be read here; if it is only found on SEC EDGAR the response has isInDatabase: false and basic metadata only. For the full document list use get_filing_documents.

Since 2026-10-03 the float column ALWAYS carries the dilution snapshot's own figure when the snapshot has one: "float" is the measured POINT float (null on a withheld snapshot row), and such a row then carries "floatEstimate" (shares) + "floatEstimateBound" ("point" ~ / "ceiling" <= / "floor" >=) + "floatEstimateBasis" (the working) — present it as the number with its marker, e.g. "<= 7,953,957". minFloat / maxFloat and the computed_float sort compare the figure's VALUE (COALESCE of the two), so a bounded row is kept; a row with neither is NOT MEASURED, never 0. 🔴 Never feed floatEstimate into a market cap, a percent-of-float or a short-interest ratio — a bound is not a point. Screen companies by price range, volume, cash runway, float, shares outstanding (each row's `shares_outstanding` is DATED by `sharesOutstandingAsOf` + `sharesOutstandingAsOfKind` (stated / checked / none = date not recorded) and a vendor-free `sharesOutstandingSource`; never present the count without its date), market cap, industry, listing exchange (NASDAQ/NYSE/AMEX), float data source and TTM dividend yield. Each row carries dividendYield (trailing-twelve-month cash dividends with an ex-date in the last 365 days / current price, in percent), nextExDate and lastExDate — null means NOT MEASURED or not a payer, never 0%. Sort results by any sortable column. Returns matching companies with key metrics and pagination. Each row carries live trading-halt status (halted/haltCode/haltedAt; false/null when trading normally); pass excludeHalted=true to drop currently-halted tickers from the results.

Find companies with imminent capital raise needs based on estimated cash runway. Defaults to companies with less than 6 months of cash remaining, sorted by urgency (lowest runway first). Useful for identifying distressed companies, imminent dilution situations, or potential financing catalysts. Runway is estimated from current burn rate.