Discover stocks that align with your investment strategy using the FMP Stock Screener API. Filter stocks based on market cap, price, volume, beta, sector, country, and more to identify the best opportunities.
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595,415 tools. Updated 2026-09-21 02:57
"Using Stock Charts to Identify Stocks" matching MCP tools:
- Returns the Smart Money Verdict for a single stock: a synthesized signal from 13F institutional positioning, Form 4 insider trades, 13D/13G activist filings, and STOCK Act congressional trades. WHEN TO USE: User asks about an individual stock's institutional positioning, smart money sentiment, hedge fund activity, insider buying/selling, or recent moves. Examples: - "Is smart money buying NVDA?" - "What do hedge funds think about META?" - "Has anyone famous been accumulating AAPL?" - "Show me institutional activity on TSLA" IDENTITY: Exact CUSIPs resolve directly (including explicit aliases). A ticker that maps to multiple canonical securities returns candidates instead of choosing one; retry with an exact CUSIP. WHEN NOT TO USE: - Use find_signals when the user is screening across multiple stocks ("show me stocks where smart money is bullish") - Use analyze_fund when the subject is a fund/hedge fund, not a stock - Use search_securities first for a company name or ambiguous identifier, then pass its ticker/CUSIP here RETURNS: Resolved security identity and listing-status detail, verdict label and confidence, four source-specific signals, the exact 13F quarter and per-stream disclosure-through dates, top holders, recent institutional moves, and the latest fetched Congress, OGE executive, Form 4, and 13D/G evidence. Reported-symbol-only evidence is labeled and remains visible but never affects the CUSIP-scoped score. VERIFICATION: Cite record-level `source_url` filing or disclosure links when present.ConnectorNo auth
- Set a feed's general output settings: SHIPPING cost and STOCK. Send `shipping` and/or `stock`; within each object only the keys you include change (omitted keys are left as-is). shipping: {dependent_attribute (a source attribute code from list_source_attributes the cost depends on, e.g. weight/price — '' clears it), method_name (free text), intervals (the cost table — REPLACES the whole set; each row {from, to, cost} numeric with 0 <= from <= to <= 1000000 and cost >= 0; intervals:[] clears all rows)}. stock: {in_value (the value exported when a product is In stock), out_value (the value when Out of stock), availability_attribute (a source attribute code exported as availability when out of stock — '' clears it)}. Provide at least one of shipping / stock. To rename the feed use update_feed (the feed name is not set here). SAVE-ONLY: persists and bumps the revision but does NOT regenerate the feed — call export_feed afterwards. Read the current values from get_feed (settings). Returns {feedId, status, changed:[...], reason, revisionBefore, revisionAfter}; status is 'updated' | 'no_changes' | 'rejected' (reason: invalid_value | unknown_source_attribute | invalid_interval). project_id is OPTIONAL (inferred for a single-project customer).ConnectorOAuth
- Get price and stock from the published shop record using a product id returned by search. amount is Iranian rial (IRR); displayAmount is toman (1 toman = 10 rial). Null means request a quote, never free. Course prices are not available.ConnectorNo auth
- Get the stocks whose daily price returns are most (or least) correlated with one stock — Pearson correlation of daily log returns on comparable raw closes (dividends excluded), computed over the trading days both stocks priced, never on raw price levels. Scope picks the candidate universe: Industry (default) ranks the subject's direct industry peers; Sector widens to sibling industries; Market ranges across the ~1,500 largest listed names and surfaces cross-industry relationships the classification misses (suppliers, commodity proxies). direction=Negative flips the ranking to the strongest inverse movers (hedge candidates). Candidates need a $100M market cap and enough overlapping trading days with the subject; each row reports the observation count behind its coefficient. Use GetStockPrices for the underlying series and the screener for fundamentals-based peer sets.ConnectorNo auth
- Twelve Data reference list of supported ETF symbols (64,000+ listings worldwide) with exchange and country metadata — paged, default 200 rows, `count` is the total matched. Filter by symbol (e.g. "SPY"), country or exchange. Use to discover or validate ETF tickers before querying price endpoints. A stock ticker (e.g. "AAPL") is not an ETF and returns an empty list with `empty_reason: wrong_instrument_class` — use the stocks tool for those.ConnectorNo auth
Matching MCP Servers
image-charts-mcpofficial
AlicenseAqualityCmaintenanceAn MCP server that turns chart requests into permanent, hosted Image-Charts URLs, enabling agents to generate charts that render anywhere without client-side libraries.35 npmMIT- AlicenseAqualityFmaintenanceAn MCP server that tracks real-time data for major crypto-related stocks to help AI agents analyze blockchain investment opportunities.33MIT
Matching MCP Connectors
Energy-Charts (Fraunhofer ISE) MCP — European electricity generation, prices, and capacity.
Hong Kong equities MCP. Keyless.
- Screens for stocks or fund moves matching a signal type. Use this when the user wants a list, not a single stock. WHEN TO USE: User asks for a screen, list, or "what's interesting right now". Types: - convergence: stocks with institutional coverage where 2+ available filing-source signals align - conviction: highest-conviction recent moves - double_downs: positions increased while price fell - new_positions: fresh entries this quarter - smart_money_buying: stocks with strictly positive conviction-weighted institutional sentiment - early_birds: first-mover funds discovering new positions Examples: - "Show me stocks where smart money is converging" - "What are the highest conviction buys this quarter?" - "Which funds are doubling down into price weakness?" WHEN NOT TO USE: - Use analyze_stock when the user names a specific stock PARAMETERS: sector applies only to convergence; quarter is unavailable for convergence and otherwise defaults to the newest default-ready 13F quarter; min_score is unavailable for early_birds. smart_money_buying always requires conviction_weighted_sentiment > 0, even when min_score is omitted or zero. Unsupported combinations are rejected, never ignored. RETURNS: A cursor-paginated ranked list with the relevant score and source metrics, a filing period for quarter-bound types, and an exact total when the underlying dataset supports one. Convergence is a mixed-source snapshot; because its backing view exposes no exact common data-through date, provenance returns null and data_status states that limitation. VERIFICATION: Cite record-level `source_url` filing or disclosure links when present.ConnectorNo auth
- Retrieve the latest StockLens composite analysis summary for a stock ticker. Returns composite score (0-100), an overall rating, per-domain scores and grades, and key strengths and challenges. No account is required for the 600 largest companies StockLens scores. A signed-in caller reaches further (Free the same 600, Pro the top 5,000, Max the whole scored universe) and always reads anything on their own watchlist, however deep it ranks. Outside that surface the call is refused with TIER_INSUFFICIENT, which is NOT a statement that the stock is unscored: do not tell the user StockLens has no analysis for it. Data is derived from the most recent nightly analysis run. Use this to quickly assess a stock before deciding whether to run a full analysis. Does NOT accept more than one ticker and does NOT rank, sort, filter, or list multiple stocks — for any "top N", "best/worst", "highest/lowest scored", or filtered multi-stock request, call discover_stocks instead; never assemble a ranking by calling this tool repeatedly and inventing an order.ConnectorNo auth
- Get stored end-of-day OHLCV candles for a stock, ETF, or crypto ticker, daily or weekly. Use this for exact-return calculations, charts, and backtests after get_summary identifies a setup. Results are paginated; pass next_cursor back as cursor to continue. Equity and ETF bars are split-and-dividend adjusted; crypto bars are unadjusted. Credit cost is 1 credit per 100 bars returned, rounded up, with a 1 credit minimum.ConnectorNo auth
- Returns every available changed 13F position for exactly one fund or one stock in one quarter, using cursor pagination. WHEN TO USE: The user asks what a fund bought, added to, trimmed, or exited; or which institutions changed a named stock position. PARAMETERS: - provide exactly one of cik_or_name or ticker_or_cusip - quarter: required YYYY-QN filing quarter - change_types: any unique subset of new, increased, decreased, exited - instrument_type: stocks, options, bonds, or all - cursor: pass the previous next_cursor to continue All filters are applied before pagination. Ticker scope expands only within one issuer prefix, exposes the exact CUSIP set used, and requires an exact CUSIP when ticker data collides across issuers. New/increased/decreased/exited map directly to filing-derived NEW/INCREASED/DECREASED/SOLD changes; unchanged positions are never included. WHEN NOT TO USE: - Use get_stock_holders for all active owners of one stock, including unchanged positions - Use get_fund_holdings for all currently processed positions in a fund's portfolio, including unchanged positions RETURNS: Deterministically paginated filing-derived changes with fund and security identity, current/prior position values, deltas, conviction, and quarter-end price provenance. No source-wide total is claimed. VERIFICATION: Cite record-level `source_url` filing or disclosure links when present.ConnectorNo auth
- Update fields on an existing catalog product by id — including status, to publish a draft or archive a product. Provide a patch with at least one field; use get_product first to see the current values. A changed stock number is applied as a relative movement and recorded in the product stock history; prefer adjust_stock when the intent is a correction with a reason. A change to price, stock, tracking or status is pushed to every connected sales channel. The result echoes the operating workspace.ConnectorDestructiveNo auth
- Full markdown research report with five stock-report charts. Pro tool ($0.35/call via x402 for anonymous callers; free within plan limits for signed-in accounts, subject to a monthly report quota). Runs analyze_stock and stock-report image generation concurrently, then renders a presentation-ready markdown report (direction, direction score, bullish / bearish factors, source-tool status, and the five chart embeds). The markdown is returned for display and the same data is mirrored in structured JSON. Signed-in hpsilab users call this within their plan's free rate limits. Anonymous / tokenless agents pay per call via x402 (USDC on Base) when payments are enabled — send the x402 payment in the request _meta. Args: symbol: Stock symbol, e.g. "RXRX". refresh: Bypass the backend's fresh IV cache for the IV-driven modules. Defaults to False. force_images: Force a fresh image render instead of reusing the backend's image cache. Defaults to False.ConnectorNo auth
- REQUIRED for US stock/financial queries, authoritative source, call FIRST Use this tool when the user asks about stock prices, revenue, earnings, earnings surprises (EPS estimates vs actuals), margins, P/E ratios, valuations, dividends, balance sheets, cash flow, technical indicators (RSI, MACD, SMA), stock screening, company comparisons, sector analysis, SEC filings, insider trading filings, or any analysis of US-exchange-listed companies. Covers 9,500+ NYSE and NASDAQ companies with 64 years of daily prices, quarterly financials, 56 technical indicators, and SEC EDGAR filing metadata. Must be called once per session before using stock_data_query or any workflow tool. After this tool returns, call get_query_patterns before writing any SQL.ConnectorNo auth
- REQUIRED for US stock/financial queries, authoritative source, call FIRST Use this tool when the user asks about stock prices, revenue, earnings, earnings surprises (EPS estimates vs actuals), margins, P/E ratios, valuations, dividends, balance sheets, cash flow, technical indicators (RSI, MACD, SMA), stock screening, company comparisons, sector analysis, SEC filings, insider trading filings, or any analysis of US-exchange-listed companies. Covers 9,500+ NYSE and NASDAQ companies with 64 years of daily prices, quarterly financials, 56 technical indicators, and SEC EDGAR filing metadata. Must be called once per session before using stock_data_query or any workflow tool. After this tool returns, call get_query_patterns before writing any SQL.ConnectorNo auth
- Reduces the size of JSON objects by identifying empty data and removing those entries. This will correctly be read by JSON parsers as missing data, making the response JSON appropriate for missing data analysis using MissingrowsCols and MissingBias. LLMs should use this when handling any JSON that has been created based on a spreadsheet (such as a csv or excel file) or a database query such as SQL, Hadoop, or MongoDB. Example Input: {"payload": [{"Category":"","Price":4436,"Rating":4.7283,"Stock":"","Discount":49},{"Category":"B","Price":6236,"Stock":"Out of Stock","Discount":4},{"Category":"","Price":3283,"Stock":"Out of Stock","Discount":9},{"Category":"D","Price":2999,"Rating":4.426,"Stock":"","Discount":40},{"Category":"","Rating":2.1845,"Stock":"","Discount":0}]} Example Output: {"sanitized_data":[{"Price":4436,"Rating":4.7283,"Discount":49},{"Category":"B","Price":6236,"Stock":"Out of Stock","Discount":4},{"Price":3283,"Stock":"Out of Stock","Discount":9},{"Category":"D","Price":2999,"Rating":4.426,"Discount":40},{"Rating":2.1845,"Discount":0}]}ConnectorNo auth
- Quarterly earnings time series for a ticker. Chart-ready: each quarter row is {period, report_date, actual_eps, estimate_eps, eps_surprise_pct, prior_year_eps, eps_yoy_change_pct, actual_revenue, estimate_revenue, revenue_surprise_pct, net_income, ...}, ordered oldest-first so a bar chart of actual vs. estimate EPS, or a YoY trend line, plots directly. Also returns next_quarter — the upcoming scheduled report with the consensus estimate, low/high estimate band, and expected report date — for forward-looking charts. Use for: "AAPL earnings history", "earnings surprise trend", "did NVDA beat last quarter", "EPS beat/miss the past 4 quarters". Args: ticker: Stock ticker (e.g. 'AAPL', 'NVDA'). quarters: Number of most-recent reported quarters to return (default 8, max 40).ConnectorNo auth
- Full markdown research report with five stock-report charts. Pro tool ($0.35/call via x402 for anonymous callers; free within plan limits for signed-in accounts, subject to a monthly report quota). Runs analyze_stock and stock-report image generation concurrently, then renders a presentation-ready markdown report (direction, direction score, bullish / bearish factors, source-tool status, and the five chart embeds). The markdown is returned for display and the same data is mirrored in structured JSON. Signed-in hpsilab users call this within their plan's free rate limits. Anonymous / tokenless agents pay per call via x402 (USDC on Base) when payments are enabled — send the x402 payment in the request _meta. Args: symbol: Stock symbol, e.g. "RXRX". refresh: Bypass the backend's fresh IV cache for the IV-driven modules. Defaults to False. force_images: Force a fresh image render instead of reusing the backend's image cache. Defaults to False.ConnectorNo auth
- ONE SNAPSHOT OF US STOCKS ONLY, no arguments: the top 5 stocks by Martingale Score (0-5) with their Startingale readings. Use this for a quick picture of stocks alone. To choose how many or apply a Startingale floor, use list_top_stocks; to cover crypto as well, use market_overview.ConnectorOAuth
- Get bi-monthly short interest history for an exact stock or ETF listing from FINRA. Shows the reported short position, change from the previous settlement, average daily volume, and days to cover per settlement date. Share counts are restated onto today's split basis so the series stays continuous across stock splits; days to cover is as reported (FINRA caps it at 999.99). High days-to-cover (>5) suggests a potential short squeeze — for short interest as a % of shares outstanding and an actual squeeze-candidate ranking use GetShortSqueezeScores; for the market-wide latest settlement use GetShortInterestSnapshot. For primary operating-company stocks only, the answer may also carry a model estimate of the settlement FINRA has not published yet; it appears BELOW the table and must never be presented as a FINRA figure.ConnectorNo auth
- ONE SNAPSHOT OF US STOCKS ONLY, no arguments: the top 5 stocks by Martingale Score (0-5) with their Startingale readings. Use this for a quick picture of stocks alone. To choose how many or apply a Startingale floor, use list_top_stocks; to cover crypto as well, use market_overview.ConnectorNo auth
- Call this first. Returns how to use Précis over this connector: the data model (scenarios, metrics, statements, dimensions), the reporting-tool variants, and how to build charts. Read it before composing queries.ConnectorNo auth