Stocklake — AI Stock Intelligence

Price, fundamentals, technical indicators, and company profile for a stock. Returns all data needed to understand a stock in a single call. Key fields: - price, change_pct, prev_close, week52_high/low, volume, avg_volume - market_cap, enterprise_value, beta - pe_trailing, pe_forward, price_to_book, dividend_yield, dividend_rate - debt_to_equity, profit_margins, operating_margins, gross_margins, r

Recent news articles for one stock, newest first. - symbol: ticker, e.g. "AAPL" or "SAP.DE". - days: look-back window in days. Values above the account's maximum are lowered to it (30 or 90 days, depending on the account). - limit: max articles returned. Values above the account's maximum are lowered to it (5 or 50 articles, depending on the account). - status: "ok" = articles returned | "emp

Daily OHLCV price history for a stock. - days: number of trading days to return (default 90). Guest/free: max 365. Pro: full history, up to 20,000 trading days (most established names go back decades; a full pull can be ~10,000+ bars, so request only what you need). - Returns: { symbol, days_requested, days_returned, count, history[], history_available: { bars, earliest_date } } - days_ret

Upcoming earnings dates for stocks in the Stocklake universe. - days: look-ahead window in days (default 7, max 30) - Returns: { window_days, from_date, to_date, count, results[] } - Each result: symbol, name, sector, market_cap, price, rsi, earnings_date (ISO UTC), is_estimate, eps_trailing, eps_forward - Sorted by earnings_date ascending. - Dates sourced from market data - treat is_estimate=tr

Combined AI market assessment: macro regime + market outlook in a single call. Refreshed ~4x/day, weekdays only, during market hours (~2h apart) - dead overnight and on weekends, not a continuous 4-hourly cadence. Check regime_stale/outlook_stale below (which already account for the weekend gap) before treating either as current, especially on a Monday morning. Two distinct perspectives returned

AI-assessed sector intelligence: signal, cycle stage, rotation signal, drivers, alerts, and computed statistics per sector (RSI distribution, breadth, performance 1W/1M, top/bottom movers, historical percentiles). Pass a sector name for a single sector, or omit the parameter (or pass None) to get the latest assessment for all 11 sectors - the all-sectors call doubles as the rotation view: use sort

Get insider transactions (regulatory insider filings for the US and several European markets) and, on Pro, the AI read plus institutional holdings for a stock. Every tier (guest/free/pro) gets the filing facts: insider_buys and insider_sells over the window (echoed as window_days), transactions (the individual rows behind those counts, newest first, each with date/name/role/type/shares/price/valu

Batch stock data for up to 25 symbols in a single call - the same fields get_stock returns for the same key/symbol, so this is a true batch version, not a thinned-down scan. Returns a dict keyed by symbol. Missing symbols are omitted from the result. Each symbol in the batch counts as one call toward the daily limit. A request over 25 symbols is rejected outright (error: batch_too_large) rather th

Market health snapshot in a single call. Aggregates key market indicators without requiring multiple tool calls. No AI cost. Index and bond/commodity prices are live; vix, fear_greed and breadth come from the latest market snapshot (see updated_at). Returns: - vix: VIX level (a number) as of that snapshot - fear_greed: {value (0-100), description ("extreme fear" | "fear" | "neutral" | "greed" |

AI-screened stock signals recently surfaced by the Stocklake pipeline - sourced from news analysis, sector screening, and sentiment signals. Shows what the pipeline noticed in the last 24 hours (falling back to the most recent signals regardless of age if nothing has fired in that window - see `window` in the response). Signals stay listed for their recency window even after they expire. Paramet

The caller's Stocklake watchlist (starred symbols from the web dashboard), enriched with live price, technicals, and AI verdict. Returns: - count: number of symbols on the watchlist - items[]: each with symbol, name, sector, price, change_pct, rsi, market_cap, analyst_rating, atr_pct, ai_verdict, ai_headline, ai_score (0-100), ai_score_band (Weak/Moderate/Strong/Very Strong)

Most notable recent news across all tracked stocks: a market-wide briefing. Unlike get_stock_news (one symbol), this scans every tracked stock and returns articles ranked by signal_score, newest first within each score. Use this for: - Morning briefing: "what happened in the market this week?" - Catalyst scanning: "what news is driving moves right now?" - Event monitoring: "which stocks have high

Filter and rank stocks from the Stocklake universe - fundamentals, technicals, and AI signals in one tool. Parameters: - sector: e.g. "Technology", "Healthcare", "Financial Services" - country: e.g. "United States", "Germany" - min_rsi / max_rsi: exact RSI bounds (e.g. max_rsi=30 = oversold, min_rsi=70 = overbought) - sma_trend: "above_200" (price above 200-day MA) | "below_200" - macd_signal: "p

Top market movers from the Stocklake universe - gainers, losers, most active. - category: "gainers" | "losers" | "most_active" | "all" (default "all" = all 3 categories) - limit: results per category (default 10, max 20). Each returned stock counts as one call toward your daily limit - a symbol appearing in more than one category (e.g. both "gainers" and "most_active") counts once per categor

Historical daily indicator snapshots for a stock - ideal for charting and trend detection. Returns up to `days` days of data (max 730, default 90) from the stock_indicator_snapshots collection which is populated daily by the indicator pipeline. Every snapshot row contains: - recorded_at: ISO date string - price: closing price at snapshot time - rsi: RSI(14) value (0-100) - macd_histogram: MACD hi

Raw financial statements - balance sheet, income statement, and cash flow line items. This is the underlying statement data itself, not a derived summary - for the forensic-accounting scores computed FROM these statements (Altman Z / Piotroski F / Beneish M), see get_stock()'s forensic_scores block instead. Each returned statement is shaped {line_item_name: {period_end_iso: value}} - e.g. income_

How analyst consensus on a stock has moved over time - the trajectory of the rating and price targets, not just today's value. Answers "are analysts getting more or less positive on this name?", which get_stock's single current analyst_rating / analyst_target cannot. Returns one row per day, oldest to newest, up to `days` (max 365, default 90): - date: YYYY-MM-DD - analyst_rating: consensus label

Upcoming and recently-released macro/economic events -- interest rate decisions, CPI, GDP, PMI, unemployment, payrolls, retail sales, and more. Two buckets: - released_recent: events with a real reported value, within the last `lookback_days` days. Every item here carries a real `actual` value (never blank) plus `diff` (actual minus previous -- a plain arithmetic difference, never a beat/mi

Full AI research bundle for a stock in one call - fundamentals, AI-generated summary, recent AI-classified news, insider/institutional signal, and recent trade signal history. Replaces 4 separate calls: get_stock + get_stock_news + get_insider_activity + get_signals (for one symbol). Returns: - stock: price, name, sector, rsi, pe_forward, market_cap, 52-week range, analyst data - ai_summary: verd

Upcoming earnings with AI context - AI scores, verdicts, and risk factors per stock. Combines the earnings calendar with AI pipeline data to surface which upcoming earnings events are worth monitoring. Parameters: - days_ahead: look-ahead window in days (default 14, max 30) - sector: filter to one sector (e.g. "Technology") - min_ai_score: only return stocks with AI score >= this value, 0-100 (op