{
  "$schema_doc": "https://historyofmarket.com/api/profile.schema.json",
  "spec_version": "1.0",
  "generated_at": "2026-06-13T08:43:05.394379+00:00",
  "site": "https://historyofmarket.com",
  "summary": "Machine-callable tool list for History of Market. 68 tools fetch a static JSON dataset; 8 are chronicle panels (format='editorial') whose URL is an HTML editorial page rather than JSON — fetch and parse as HTML with embedded structured data. All tools are GET-only with no auth or rate limit; pair with /api/profile.json for the human-question → tool mapping.",
  "transport": {
    "method": "GET",
    "auth": "none",
    "rate_limit": "none (edge cached; please respect ETag).",
    "cors": "Access-Control-Allow-Origin: *",
    "content_type": "application/json",
    "cache": "edge: max-age=300, stale-while-revalidate=3600.",
    "license": "CC-BY-4.0 — attribution required."
  },
  "common_input_schema": {
    "type": "object",
    "properties": {},
    "additionalProperties": false,
    "description": "All tools take no parameters. The dataset URL is fixed; the response is the entire panel payload."
  },
  "tools": [
    {
      "name": "sp500_annual",
      "title": "S&P 500 annual returns since 1928",
      "description": "How has the S&P 500 performed each year since 1928? 73 positive years vs 26 negative years; arithmetic mean ≈ 11.8%.",
      "category": "sp500",
      "chapter": "S&P 500 · I. Shape of a Century",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/sp500/annual-returns.json",
      "panel_url": "https://historyofmarket.com/#panel-annual",
      "static_url": "https://historyofmarket.com/sp500/annual/",
      "answers": [
        "How has the S&P 500 performed each year since 1928?"
      ]
    },
    {
      "name": "sp500_annual_dist",
      "title": "S&P 500 annual return distribution",
      "description": "How often does the S&P 500 actually return its average? Only 7 years of the last century landed within ±2% of the long-run mean.",
      "category": "sp500",
      "chapter": "S&P 500 · I. Shape of a Century",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/sp500/annual-returns.json",
      "panel_url": "https://historyofmarket.com/#panel-annual-dist",
      "static_url": "https://historyofmarket.com/sp500/annual-dist/",
      "answers": [
        "How often does the S&P 500 actually return its average?"
      ]
    },
    {
      "name": "sp500_annualized_matrix",
      "title": "Buy-year / sell-year annualized return matrix",
      "description": "If I had bought the S&P 500 in year X and sold in year Y, what's the annualized return? Hold-period heatmap of every entry/exit combination since 1928.",
      "category": "sp500",
      "chapter": "S&P 500 · I. Shape of a Century",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/sp500/annual-tr.json",
      "panel_url": "https://historyofmarket.com/#panel-annualized-matrix",
      "static_url": "https://historyofmarket.com/sp500/annualized-matrix/",
      "answers": [
        "If I had bought the S&P 500 in year X and sold in year Y, what's the annualized return?"
      ]
    },
    {
      "name": "sp500_rolling",
      "title": "Five-year rolling annualized return",
      "description": "How often has a five-year hold of the S&P 500 lost money? Fewer than 10% of rolling 5-year windows since 1928 finished negative.",
      "category": "sp500",
      "chapter": "S&P 500 · I. Shape of a Century",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/sp500/annual-tr.json",
      "panel_url": "https://historyofmarket.com/#panel-rolling",
      "static_url": "https://historyofmarket.com/sp500/rolling/",
      "answers": [
        "How often has a five-year hold of the S&P 500 lost money?"
      ]
    },
    {
      "name": "sp500_sp500_logyoy",
      "title": "S&P 500 log year-over-year (bull / bear boundary)",
      "description": "How many bull-bear transitions has the S&P 500 had since 1928? 14 zero-line crossings since 1928.",
      "category": "sp500",
      "chapter": "S&P 500 · I. Shape of a Century",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/sp500/century.json",
      "panel_url": "https://historyofmarket.com/#panel-sp500-logyoy",
      "static_url": "https://historyofmarket.com/sp500/sp500-logyoy/",
      "answers": [
        "How many bull-bear transitions has the S&P 500 had since 1928?"
      ]
    },
    {
      "name": "sp500_drawdown",
      "title": "S&P 500 historical drawdowns",
      "description": "What were the worst S&P 500 drawdowns and how long did recovery take? Every major decline since 1929 with category, cause, and trading-day recovery count.",
      "category": "sp500",
      "chapter": "S&P 500 · III. Rhythm of Crisis",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/sp500/drawdowns.json",
      "panel_url": "https://historyofmarket.com/#panel-drawdown",
      "static_url": "https://historyofmarket.com/sp500/drawdown/",
      "answers": [
        "What were the worst S&P 500 drawdowns and how long did recovery take?"
      ],
      "related_external": [
        {
          "url": "https://dollarliquidity.com",
          "kind": "sister_publication",
          "context": "drawdown",
          "label": "Macro fingerprint for each bear market — sister publication"
        }
      ]
    },
    {
      "name": "sp500_intrayear_dd",
      "title": "Intrayear drawdown vs year-end return",
      "description": "How big is the average intrayear drop, and does the S&P 500 still finish positive? Average intrayear drawdown ≈ -14%; year-end return is still positive on average.",
      "category": "sp500",
      "chapter": "S&P 500 · III. Rhythm of Crisis",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/sp500/intrayear-dd.json",
      "panel_url": "https://historyofmarket.com/#panel-intrayear-dd",
      "static_url": "https://historyofmarket.com/sp500/intrayear-dd/",
      "answers": [
        "How big is the average intrayear drop, and does the S&P 500 still finish positive?"
      ]
    },
    {
      "name": "sp500_volatility",
      "title": "S&P 500 realized volatility (20d / 60d)",
      "description": "What is the long-term realized volatility of the S&P 500? Long-term median annualized realized vol ~15%.",
      "category": "sp500",
      "chapter": "S&P 500 · III. Rhythm of Crisis",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/sp500/volatility.json",
      "panel_url": "https://historyofmarket.com/#panel-volatility",
      "static_url": "https://historyofmarket.com/sp500/volatility/",
      "answers": [
        "What is the long-term realized volatility of the S&P 500?"
      ]
    },
    {
      "name": "sp500_vix",
      "title": "VIX vs S&P 500",
      "description": "What VIX level historically marks crisis pricing? VIX above 30 has reliably accompanied every major crisis since 1990.",
      "category": "sp500",
      "chapter": "S&P 500 · III. Rhythm of Crisis",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/sp500/vix.json",
      "panel_url": "https://historyofmarket.com/#panel-vix",
      "static_url": "https://historyofmarket.com/sp500/vix/",
      "answers": [
        "What VIX level historically marks crisis pricing?"
      ]
    },
    {
      "name": "sp500_monthly",
      "title": "S&P 500 monthly return heatmap with win probabilities",
      "description": "Which months are historically friendliest for the S&P 500? November and April friendliest; September the hardest single month.",
      "category": "sp500",
      "chapter": "S&P 500 · III. Rhythm of Crisis",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/sp500/monthly.json",
      "panel_url": "https://historyofmarket.com/#panel-monthly",
      "static_url": "https://historyofmarket.com/sp500/monthly/",
      "answers": [
        "Which months are historically friendliest for the S&P 500?"
      ]
    },
    {
      "name": "sp500_pe",
      "title": "Shiller CAPE (PE10) since 1871",
      "description": "What is the current Shiller CAPE percentile vs. history? 10-year inflation-adjusted PE; historical mean ≈ 17×.",
      "category": "sp500",
      "chapter": "S&P 500 · II. Anchors of Valuation",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/sp500/pe.json",
      "panel_url": "https://historyofmarket.com/#panel-pe",
      "static_url": "https://historyofmarket.com/sp500/pe/",
      "answers": [
        "What is the current Shiller CAPE percentile vs. history?"
      ],
      "related_external": [
        {
          "url": "https://dollarliquidity.com",
          "kind": "sister_publication",
          "context": "valuation",
          "label": "Rates and liquidity regime — sister publication"
        }
      ]
    },
    {
      "name": "sp500_aiae",
      "title": "AIAE — Aggregate Investor Allocation to Equities",
      "description": "What's the best long-horizon predictor of S&P 500 returns? Equity / (equity + bonds + cash). Stronger 10-year return predictor than CAPE.",
      "category": "sp500",
      "chapter": "S&P 500 · II. Anchors of Valuation",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/aiae.json",
      "panel_url": "https://historyofmarket.com/#panel-aiae",
      "static_url": "https://historyofmarket.com/sp500/aiae/",
      "answers": [
        "What's the best long-horizon predictor of S&P 500 returns?"
      ],
      "related_external": [
        {
          "url": "https://dollarliquidity.com",
          "kind": "sister_publication",
          "context": "valuation",
          "label": "10y yield + liquidity regime — sister publication"
        }
      ]
    },
    {
      "name": "sp500_eps",
      "title": "S&P 500 trailing twelve-month EPS",
      "description": "How have S&P 500 earnings grown over the long run? 1871 → present GAAP TTM earnings.",
      "category": "sp500",
      "chapter": "S&P 500 · II. Anchors of Valuation",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/sp500/eps.json",
      "panel_url": "https://historyofmarket.com/#panel-eps",
      "static_url": "https://historyofmarket.com/sp500/eps/",
      "answers": [
        "How have S&P 500 earnings grown over the long run?"
      ]
    },
    {
      "name": "sp500_roe",
      "title": "S&P 500 return on equity",
      "description": "How profitable is the S&P 500 on book equity? Steady around 15% for the last two decades.",
      "category": "sp500",
      "chapter": "S&P 500 · II. Anchors of Valuation",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/sp500/roe.json",
      "panel_url": "https://historyofmarket.com/#panel-roe",
      "static_url": "https://historyofmarket.com/sp500/roe/",
      "answers": [
        "How profitable is the S&P 500 on book equity?"
      ]
    },
    {
      "name": "sp500_forward_pe",
      "title": "S&P 500 trailing PE and forward PE",
      "description": "How does the S&P 500 look on trailing earnings vs. forward consensus today? Two lines on one axis: trailing PE (cap-weighted Σ(w·P)/Σ(w·trailingEps), daily, with multpl monthly seed) and forward PE (Bloomberg BEst P/E Ratio, 12-month consensus, quarter-end points back to 1990 + latest reading).",
      "category": "sp500",
      "chapter": "S&P 500 · II. Anchors of Valuation",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/sp500/forward-pe.json",
      "panel_url": "https://historyofmarket.com/#panel-forward-pe",
      "static_url": "https://historyofmarket.com/sp500/forward-pe/",
      "answers": [
        "How does the S&P 500 look on trailing earnings vs. forward consensus today?"
      ],
      "related_external": [
        {
          "url": "https://dollarliquidity.com",
          "kind": "sister_publication",
          "context": "valuation",
          "label": "Forward earnings vs liquidity regime — sister publication"
        }
      ]
    },
    {
      "name": "sp500_return_details",
      "title": "Total return decomposition: price + dividend + buyback",
      "description": "How much of S&P 500 total return now comes from buybacks vs dividends? Buyback contribution now exceeds dividend contribution.",
      "category": "sp500",
      "chapter": "S&P 500 · II. Anchors of Valuation",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/sp500/return-details.json",
      "panel_url": "https://historyofmarket.com/#panel-return-details",
      "static_url": "https://historyofmarket.com/sp500/return-details/",
      "answers": [
        "How much of S&P 500 total return now comes from buybacks vs dividends?"
      ]
    },
    {
      "name": "sp500_sp500_driver_decomp",
      "title": "S&P 500 annual valuation × EPS driver decomposition",
      "description": "In a given year, was the S&P 500's return driven by multiple expansion or by earnings growth? Every year since 1928 decomposed via (1+r_price) = (1+r_PE)·(1+r_EPS); each year classified pe / eps / both / opposite_pe / opposite_eps using a 1.5× dominant-driver threshold over a 2% noise floor. Trailing TTM basis (Shiller monthly PE × quarterly TTM EPS).",
      "category": "sp500",
      "chapter": "S&P 500 · II. Anchors of Valuation",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/sp500/driver-decomp.json",
      "panel_url": "https://historyofmarket.com/#panel-sp500-driver-decomp",
      "static_url": "https://historyofmarket.com/sp500/sp500-driver-decomp/",
      "answers": [
        "In a given year, was the S&P 500's return driven by multiple expansion or by earnings growth?"
      ]
    },
    {
      "name": "sp500_m7",
      "title": "Magnificent 7 equal-weighted index",
      "description": "How have the Magnificent 7 performed as a basket? AAPL, MSFT, NVDA, GOOGL, AMZN, META, TSLA equal-weighted, base 2022-01-03 = 100.",
      "category": "sp500",
      "chapter": "S&P 500 · IV. Anatomy of the Index",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/m7/index.json",
      "panel_url": "https://historyofmarket.com/#panel-m7",
      "static_url": "https://historyofmarket.com/sp500/m7/",
      "answers": [
        "How have the Magnificent 7 performed as a basket?"
      ]
    },
    {
      "name": "sp500_sectors",
      "title": "S&P 500 GICS sector weights",
      "description": "What is the GICS sector composition of the S&P 500 right now? Technology dominant; energy and materials at multi-decade lows in weight.",
      "category": "sp500",
      "chapter": "S&P 500 · IV. Anatomy of the Index",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/sp500/sectors.json",
      "panel_url": "https://historyofmarket.com/#panel-sectors",
      "static_url": "https://historyofmarket.com/sp500/sectors/",
      "answers": [
        "What is the GICS sector composition of the S&P 500 right now?"
      ]
    },
    {
      "name": "sp500_scatter",
      "title": "S&P 500 constituents scatter — market cap × 1y return × index weight",
      "description": "Which S&P 500 names contributed the most to last year's index return? Bubble plot of all 500 members on cap, 1-year return, and index weight.",
      "category": "sp500",
      "chapter": "S&P 500 · IV. Anatomy of the Index",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/sp500/constituents.json",
      "panel_url": "https://historyofmarket.com/#panel-scatter",
      "static_url": "https://historyofmarket.com/sp500/scatter/",
      "answers": [
        "Which S&P 500 names contributed the most to last year's index return?"
      ]
    },
    {
      "name": "sp500_changes",
      "title": "S&P 500 constituent change log",
      "description": "Which companies were recently added to or removed from the S&P 500? Chronological log of additions and removals.",
      "category": "sp500",
      "chapter": "S&P 500 · IV. Anatomy of the Index",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/sp500/changes.json",
      "panel_url": "https://historyofmarket.com/#panel-changes",
      "static_url": "https://historyofmarket.com/sp500/changes/",
      "answers": [
        "Which companies were recently added to or removed from the S&P 500?"
      ]
    },
    {
      "name": "sp500_rules",
      "title": "S&P 500 methodology",
      "description": "What are the eligibility rules for inclusion in the S&P 500? Market cap ≥ $22.7B (2025-07-01), FALR ≥ 0.75, four-quarter positive GAAP earnings.",
      "category": "sp500",
      "chapter": "S&P 500 · IV. Anatomy of the Index",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/sp500/rules.json",
      "panel_url": "https://historyofmarket.com/#panel-rules",
      "static_url": "https://historyofmarket.com/sp500/rules/",
      "answers": [
        "What are the eligibility rules for inclusion in the S&P 500?"
      ]
    },
    {
      "name": "nasdaq_nasdaq_composite",
      "title": "Nasdaq Composite since 1971",
      "description": "How has the Nasdaq Composite grown since its inception? 100 at inception on 1971-02-05; now above 16,000.",
      "category": "nasdaq",
      "chapter": "Nasdaq · I. The Long Lens",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/nasdaq/composite.json",
      "panel_url": "https://historyofmarket.com/#panel-nasdaq-composite",
      "static_url": "https://historyofmarket.com/nasdaq/nasdaq-composite/",
      "answers": [
        "How has the Nasdaq Composite grown since its inception?"
      ]
    },
    {
      "name": "nasdaq_nasdaq_logyoy",
      "title": "Nasdaq Composite log year-over-year",
      "description": "How frequently does the Nasdaq cross between bull and bear regimes? Log-scale YoY makes regime transitions legible.",
      "category": "nasdaq",
      "chapter": "Nasdaq · I. The Long Lens",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/nasdaq/composite.json",
      "panel_url": "https://historyofmarket.com/#panel-nasdaq-logyoy",
      "static_url": "https://historyofmarket.com/nasdaq/nasdaq-logyoy/",
      "answers": [
        "How frequently does the Nasdaq cross between bull and bear regimes?"
      ]
    },
    {
      "name": "nasdaq_nasdaq100_annual",
      "title": "QQQ (Nasdaq 100) annual returns since 1999",
      "description": "What's the annual return distribution of QQQ? ~15% average annual return; -42% in 2008.",
      "category": "nasdaq",
      "chapter": "Nasdaq · I. The Long Lens",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/ndx/annual-tr.json",
      "panel_url": "https://historyofmarket.com/#panel-nasdaq100-annual",
      "static_url": "https://historyofmarket.com/nasdaq/nasdaq100-annual/",
      "answers": [
        "What's the annual return distribution of QQQ?"
      ]
    },
    {
      "name": "nasdaq_ndx_annual_dist",
      "title": "Nasdaq 100 annual return distribution",
      "description": "How wide is the spread of Nasdaq 100 annual returns? Higher mean and higher dispersion than the S&P 500.",
      "category": "nasdaq",
      "chapter": "Nasdaq · I. The Long Lens",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/ndx/annual-returns.json",
      "panel_url": "https://historyofmarket.com/#panel-ndx-annual-dist",
      "static_url": "https://historyofmarket.com/nasdaq/ndx-annual-dist/",
      "answers": [
        "How wide is the spread of Nasdaq 100 annual returns?"
      ]
    },
    {
      "name": "nasdaq_ndx_matrix",
      "title": "Nasdaq 100 buy-year / sell-year annualized matrix",
      "description": "If I had bought QQQ in year X and held until year Y, what's the annualized return? Hold-period heatmap from 1985 onward.",
      "category": "nasdaq",
      "chapter": "Nasdaq · I. The Long Lens",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/ndx/annual-tr.json",
      "panel_url": "https://historyofmarket.com/#panel-ndx-matrix",
      "static_url": "https://historyofmarket.com/nasdaq/ndx-matrix/",
      "answers": [
        "If I had bought QQQ in year X and held until year Y, what's the annualized return?"
      ]
    },
    {
      "name": "nasdaq_ndx_rolling",
      "title": "Nasdaq 100 five-year rolling annualized return",
      "description": "How often has a five-year hold of QQQ lost money? Wider tails than S&P 500 — both upside and downside.",
      "category": "nasdaq",
      "chapter": "Nasdaq · I. The Long Lens",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/ndx/rolling5y.json",
      "panel_url": "https://historyofmarket.com/#panel-ndx-rolling",
      "static_url": "https://historyofmarket.com/nasdaq/ndx-rolling/",
      "answers": [
        "How often has a five-year hold of QQQ lost money?"
      ]
    },
    {
      "name": "nasdaq_ndx_forward_pe",
      "title": "Nasdaq 100 forward PE",
      "description": "How stretched is the Nasdaq 100 on forward earnings, and how does today compare to the dot-com peak? Bloomberg BEst P/E Ratio (12-month consensus), monthly back to January 2001 plus the latest reading. Captures the 2001-03 dot-com spike when NDX earnings collapsed (peak ~199×) and today's reading.",
      "category": "nasdaq",
      "chapter": "Nasdaq · II. The Stretch of Valuation",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/ndx/forward-pe.json",
      "panel_url": "https://historyofmarket.com/#panel-ndx-forward-pe",
      "static_url": "https://historyofmarket.com/nasdaq/ndx-forward-pe/",
      "answers": [
        "How stretched is the Nasdaq 100 on forward earnings, and how does today compare to the dot-com peak?"
      ]
    },
    {
      "name": "nasdaq_ndx_driver_decomp",
      "title": "Nasdaq 100 annual rerating × revision decomposition",
      "description": "In a given year, was the Nasdaq 100's return driven by forward-PE multiple change or by forward-EPS revision? Every calendar year since 2002 decomposed into forward-PE rerating × implied forward-EPS revision, using the Bloomberg forward PE series and price-implied EPS path. NDX is on a forward basis (vs SPX trailing) because per-name historical TTM EPS for 100 names is not cleanly recoverable from free sources.",
      "category": "nasdaq",
      "chapter": "Nasdaq · II. The Stretch of Valuation",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/ndx/driver-decomp.json",
      "panel_url": "https://historyofmarket.com/#panel-ndx-driver-decomp",
      "static_url": "https://historyofmarket.com/nasdaq/ndx-driver-decomp/",
      "answers": [
        "In a given year, was the Nasdaq 100's return driven by forward-PE multiple change or by forward-EPS revision?"
      ]
    },
    {
      "name": "nasdaq_ndx_drawdown",
      "title": "Nasdaq 100 historical drawdowns",
      "description": "How deep was the dot-com drawdown for the Nasdaq 100? 59 events tracked; 2000-2002 cumulative -83%.",
      "category": "nasdaq",
      "chapter": "Nasdaq · IV. Crisis Cadence",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/ndx/drawdowns.json",
      "panel_url": "https://historyofmarket.com/#panel-ndx-drawdown",
      "static_url": "https://historyofmarket.com/nasdaq/ndx-drawdown/",
      "answers": [
        "How deep was the dot-com drawdown for the Nasdaq 100?"
      ]
    },
    {
      "name": "nasdaq_ndx_intrayear_dd",
      "title": "Nasdaq 100 intrayear drawdown vs year-end return",
      "description": "How big does an intrayear Nasdaq drop usually get before the year ends positive? Intrayear drawdowns systematically larger than the S&P 500's.",
      "category": "nasdaq",
      "chapter": "Nasdaq · IV. Crisis Cadence",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/ndx/intrayear-dd.json",
      "panel_url": "https://historyofmarket.com/#panel-ndx-intrayear-dd",
      "static_url": "https://historyofmarket.com/nasdaq/ndx-intrayear-dd/",
      "answers": [
        "How big does an intrayear Nasdaq drop usually get before the year ends positive?"
      ]
    },
    {
      "name": "nasdaq_ndx_volatility",
      "title": "Nasdaq 100 realized volatility",
      "description": "How much more volatile is the Nasdaq 100 than the S&P 500? Median ~22% — systematically above S&P 500.",
      "category": "nasdaq",
      "chapter": "Nasdaq · IV. Crisis Cadence",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/ndx/volatility.json",
      "panel_url": "https://historyofmarket.com/#panel-ndx-volatility",
      "static_url": "https://historyofmarket.com/nasdaq/ndx-volatility/",
      "answers": [
        "How much more volatile is the Nasdaq 100 than the S&P 500?"
      ]
    },
    {
      "name": "nasdaq_ndx_vxn",
      "title": "VXN — CBOE Nasdaq 100 Volatility Index",
      "description": "What's the implied-volatility benchmark for the Nasdaq 100? VXN daily close 2001 → present.",
      "category": "nasdaq",
      "chapter": "Nasdaq · IV. Crisis Cadence",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/ndx/vxn.json",
      "panel_url": "https://historyofmarket.com/#panel-ndx-vxn",
      "static_url": "https://historyofmarket.com/nasdaq/ndx-vxn/",
      "answers": [
        "What's the implied-volatility benchmark for the Nasdaq 100?"
      ]
    },
    {
      "name": "nasdaq_ndx_monthly",
      "title": "Nasdaq 100 monthly return heatmap",
      "description": "Which calendar months have been kindest to the Nasdaq 100? Seasonal pattern broadly similar to S&P 500 but with thicker tails.",
      "category": "nasdaq",
      "chapter": "Nasdaq · IV. Crisis Cadence",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/ndx/monthly.json",
      "panel_url": "https://historyofmarket.com/#panel-ndx-monthly",
      "static_url": "https://historyofmarket.com/nasdaq/ndx-monthly/",
      "answers": [
        "Which calendar months have been kindest to the Nasdaq 100?"
      ]
    },
    {
      "name": "nasdaq_ndx_return_details",
      "title": "QQQ total return decomposition",
      "description": "What share of QQQ's total return comes from price vs dividend vs buyback? Price-driven; dividend yield small; buybacks rising.",
      "category": "nasdaq",
      "chapter": "Nasdaq · V. Anatomy of the Index",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/qqq/return-details.json",
      "panel_url": "https://historyofmarket.com/#panel-ndx-return-details",
      "static_url": "https://historyofmarket.com/nasdaq/ndx-return-details/",
      "answers": [
        "What share of QQQ's total return comes from price vs dividend vs buyback?"
      ]
    },
    {
      "name": "nasdaq_nasdaq100_companies",
      "title": "Nasdaq 100 constituents & weight distribution",
      "description": "Which companies make up the Nasdaq 100 and how is the weight distributed? Full constituent list with sector and weight.",
      "category": "nasdaq",
      "chapter": "Nasdaq · V. Anatomy of the Index",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/nasdaq/100.json",
      "panel_url": "https://historyofmarket.com/#panel-nasdaq100-companies",
      "static_url": "https://historyofmarket.com/nasdaq/nasdaq100-companies/",
      "answers": [
        "Which companies make up the Nasdaq 100 and how is the weight distributed?"
      ]
    },
    {
      "name": "nasdaq_nasdaq100_weights",
      "title": "Nasdaq 100 top-25 holdings & cumulative weight",
      "description": "How concentrated is the Nasdaq 100 at the top? Top 7 names account for roughly 50% of the index.",
      "category": "nasdaq",
      "chapter": "Nasdaq · V. Anatomy of the Index",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/nasdaq/100.json",
      "panel_url": "https://historyofmarket.com/#panel-nasdaq100-weights",
      "static_url": "https://historyofmarket.com/nasdaq/nasdaq100-weights/",
      "answers": [
        "How concentrated is the Nasdaq 100 at the top?"
      ]
    },
    {
      "name": "nasdaq_nasdaq100_ytd",
      "title": "Nasdaq 100 constituent return rankings (1W / 1M / YTD / 1Y)",
      "description": "Which Nasdaq 100 names are leading or lagging over week, month, year-to-date, and trailing-year windows? Sortable return ranking of every constituent across four windows; the 1-year view shows unusually wide first-to-hundredth dispersion.",
      "category": "nasdaq",
      "chapter": "Nasdaq · V. Anatomy of the Index",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/nasdaq/100.json",
      "panel_url": "https://historyofmarket.com/#panel-nasdaq100-ytd",
      "static_url": "https://historyofmarket.com/nasdaq/nasdaq100-ytd/",
      "answers": [
        "Which Nasdaq 100 names are leading or lagging over week, month, year-to-date, and trailing-year windows?"
      ]
    },
    {
      "name": "semi_semi_price",
      "title": "Philadelphia Semiconductor Index since 1994",
      "description": "How has the PHLX Semiconductor Index (SOX) traded since its 1994 inception? Daily closes since May 1994 with drawdown ribbon. Contains 2000-2002 dotcom -83%, 2008 GFC -52%, 2018 / 2022 mid-cycle drawdowns, and the AI-era bull.",
      "category": "semi",
      "chapter": "Semiconductors · I. The Thirty-Year Arc",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/semi/price.json",
      "panel_url": "https://historyofmarket.com/#panel-semi-price",
      "static_url": "https://historyofmarket.com/semi/semi-price/",
      "answers": [
        "How has the PHLX Semiconductor Index (SOX) traded since its 1994 inception?"
      ]
    },
    {
      "name": "semi_semi_annual",
      "title": "SOX annual return ledger",
      "description": "What's the year-by-year return record of the Philadelphia Semiconductor Index? Mean return well above the S&P, but a near-halving year prints every few cycles.",
      "category": "semi",
      "chapter": "Semiconductors · I. The Thirty-Year Arc",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/semi/annual-returns.json",
      "panel_url": "https://historyofmarket.com/#panel-semi-annual",
      "static_url": "https://historyofmarket.com/semi/semi-annual/",
      "answers": [
        "What's the year-by-year return record of the Philadelphia Semiconductor Index?"
      ]
    },
    {
      "name": "semi_semi_annual_dist",
      "title": "SOX annual return distribution",
      "description": "How fat are the tails of semiconductor annual returns? Fat tails on both sides; right tail past +50% populated more than once.",
      "category": "semi",
      "chapter": "Semiconductors · I. The Thirty-Year Arc",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/semi/annual-tr.json",
      "panel_url": "https://historyofmarket.com/#panel-semi-annual-dist",
      "static_url": "https://historyofmarket.com/semi/semi-annual-dist/",
      "answers": [
        "How fat are the tails of semiconductor annual returns?"
      ]
    },
    {
      "name": "semi_semi_intrayear_dd",
      "title": "SOX intrayear drawdown vs year-end return",
      "description": "How big is the average intrayear drop in semiconductors, even in up years? Intrayear drawdown averages ~-20%, a notch deeper than the S&P even in up years.",
      "category": "semi",
      "chapter": "Semiconductors · II. The Heart of the Cycle",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/semi/intrayear-dd.json",
      "panel_url": "https://historyofmarket.com/#panel-semi-intrayear-dd",
      "static_url": "https://historyofmarket.com/semi/semi-intrayear-dd/",
      "answers": [
        "How big is the average intrayear drop in semiconductors, even in up years?"
      ]
    },
    {
      "name": "semi_semi_composition",
      "title": "SOX 30 constituents by sub-industry",
      "description": "What's actually inside the Philadelphia Semiconductor Index? Thirty names grouped by sub-industry: fabless logic, foundry, memory, equipment, analog, RF, IDM.",
      "category": "semi",
      "chapter": "Semiconductors · III. Inside the Index",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/semi/composition.json",
      "panel_url": "https://historyofmarket.com/#panel-semi-composition",
      "static_url": "https://historyofmarket.com/semi/semi-composition/",
      "answers": [
        "What's actually inside the Philadelphia Semiconductor Index?"
      ]
    },
    {
      "name": "semi_semi_smh",
      "title": "VanEck Semiconductor ETF (SMH) holdings",
      "description": "What does SMH actually own and at what weight? Tracks the MVIS US 25 — Yahoo Finance exposes ~70% of the fund live.",
      "category": "semi",
      "chapter": "Semiconductors · III. Inside the Index",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/semi/smh.json",
      "panel_url": "https://historyofmarket.com/#panel-semi-smh",
      "static_url": "https://historyofmarket.com/semi/semi-smh/",
      "answers": [
        "What does SMH actually own and at what weight?"
      ]
    },
    {
      "name": "semi_semi_memory",
      "title": "Memory cohort — DRAM / NAND / HBM split three ways",
      "description": "Why is there only one US-listed pure memory play in SOX? MU is the lone US-listed pure-memory play; Samsung Electronics (005930.KS) and SK Hynix (000660.KS) sit on KOSPI. The AI HBM boom splits three ways.",
      "category": "semi",
      "chapter": "Semiconductors · III. Inside the Index",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/semi/composition.json",
      "panel_url": "https://historyofmarket.com/#panel-semi-memory",
      "static_url": "https://historyofmarket.com/semi/semi-memory/",
      "answers": [
        "Why is there only one US-listed pure memory play in SOX?"
      ]
    },
    {
      "name": "semi_semi_ratios",
      "title": "SOX / SPX, SOX / XLK, XLK / SPX rebased to 100 at YE-1999",
      "description": "How does semis' relative strength against the broad market and the tech sector look across cycles? SOX/SPX writes leadership cadence; SOX/XLK is a thermometer for AI cycles; XLK/SPX gives tech's relative strength.",
      "category": "semi",
      "chapter": "Semiconductors · IV. Cross-basis Ratios",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/semi/ratios.json",
      "panel_url": "https://historyofmarket.com/#panel-semi-ratios",
      "static_url": "https://historyofmarket.com/semi/semi-ratios/",
      "answers": [
        "How does semis' relative strength against the broad market and the tech sector look across cycles?"
      ]
    },
    {
      "name": "semi_semi_memory_valuation",
      "title": "Memory & HBM TTM PE vs 1999 dotcom peak",
      "description": "Is today's AI semiconductor valuation a Cisco-1999 repeat? MU and NVDA TTM PE on a log scale against the 1999 dotcom-peak forward PE bands (CSCO 140×, ORCL 150×, SUNW 120×, MSFT-1999 60×, INTC-1999 50×). Per-name snapshot cards show distance vs the CSCO 140× anchor.",
      "category": "semi",
      "chapter": "Semiconductors · IV. Cross-basis Ratios",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/semi/memory-valuation.json",
      "panel_url": "https://historyofmarket.com/#panel-semi-memory-valuation",
      "static_url": "https://historyofmarket.com/semi/semi-memory-valuation/",
      "answers": [
        "Is today's AI semiconductor valuation a Cisco-1999 repeat?"
      ]
    },
    {
      "name": "xlk_xlk_price",
      "title": "XLK Information Technology ETF since 1998",
      "description": "How has the Information Technology sector ETF (XLK) traded since its December 1998 launch? First year crossed the dotcom peak; curve contains -83% (dotcom), -50% (GFC), -34% (2022).",
      "category": "xlk",
      "chapter": "Information Technology · I. The Twenty-Seven-Year Arc",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/xlk/price.json",
      "panel_url": "https://historyofmarket.com/#panel-xlk-price",
      "static_url": "https://historyofmarket.com/xlk/xlk-price/",
      "answers": [
        "How has the Information Technology sector ETF (XLK) traded since its December 1998 launch?"
      ]
    },
    {
      "name": "xlk_xlk_annual",
      "title": "XLK year-by-year ledger",
      "description": "What's the annual return record of the XLK ETF? Twenty-seven complete years — 1999 right tail of +75%, 2008 left tail of -42%, 2023-24 doubled up.",
      "category": "xlk",
      "chapter": "Information Technology · I. The Twenty-Seven-Year Arc",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/xlk/annual-returns.json",
      "panel_url": "https://historyofmarket.com/#panel-xlk-annual",
      "static_url": "https://historyofmarket.com/xlk/xlk-annual/",
      "answers": [
        "What's the annual return record of the XLK ETF?"
      ]
    },
    {
      "name": "xlk_xlk_annual_dist",
      "title": "XLK annual return distribution",
      "description": "How do XLK's annual returns spread compared to semis? Mean similar to semis, variance a notch tighter — software damps the pure-hardware cycle.",
      "category": "xlk",
      "chapter": "Information Technology · I. The Twenty-Seven-Year Arc",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/xlk/annual-tr.json",
      "panel_url": "https://historyofmarket.com/#panel-xlk-annual-dist",
      "static_url": "https://historyofmarket.com/xlk/xlk-annual-dist/",
      "answers": [
        "How do XLK's annual returns spread compared to semis?"
      ]
    },
    {
      "name": "xlk_xlk_intrayear_dd",
      "title": "XLK intrayear drawdown vs year-end return",
      "description": "How deep do XLK's intrayear drops typically run? Average ~-16%, between the S&P and the semis — but 2000, 2008, 2022 each posted past -30%.",
      "category": "xlk",
      "chapter": "Information Technology · II. Intrayear Amplitude",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/xlk/intrayear-dd.json",
      "panel_url": "https://historyofmarket.com/#panel-xlk-intrayear-dd",
      "static_url": "https://historyofmarket.com/xlk/xlk-intrayear-dd/",
      "answers": [
        "How deep do XLK's intrayear drops typically run?"
      ]
    },
    {
      "name": "xlk_xlk_holdings",
      "title": "XLK top holdings & cumulative weight",
      "description": "How concentrated is XLK at the top? AAPL + MSFT + NVDA already combine for more than half the fund — the most concentrated sector ETF in US equities.",
      "category": "xlk",
      "chapter": "Information Technology · III. The Shape of Concentration",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/xlk/holdings.json",
      "panel_url": "https://historyofmarket.com/#panel-xlk-holdings",
      "static_url": "https://historyofmarket.com/xlk/xlk-holdings/",
      "answers": [
        "How concentrated is XLK at the top?"
      ]
    },
    {
      "name": "xlk_xlk_reclass",
      "title": "2018-09-24 GICS communication-services reshuffle",
      "description": "Which companies were moved out of Information Technology in 2018? S&P and MSCI moved GOOGL, META, NFLX and other internet platforms out of Information Technology — XLK's long curve crosses that date but the composition shifted meaningfully.",
      "category": "xlk",
      "chapter": "Information Technology · IV. The Seam of 2018",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/xlk/reclass-2018.json",
      "panel_url": "https://historyofmarket.com/#panel-xlk-reclass",
      "static_url": "https://historyofmarket.com/xlk/xlk-reclass/",
      "answers": [
        "Which companies were moved out of Information Technology in 2018?"
      ]
    },
    {
      "name": "fin_fin_price",
      "title": "XLF Financials ETF since 1998",
      "description": "How has the Financials sector ETF (XLF) traded since its December 1998 launch? -84% cumulative through 2008, the deepest scar in any US sector ETF.",
      "category": "fin",
      "chapter": "Financials · I. The Twenty-Seven-Year Arc",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/fin/price.json",
      "panel_url": "https://historyofmarket.com/#panel-fin-price",
      "static_url": "https://historyofmarket.com/fin/fin-price/",
      "answers": [
        "How has the Financials sector ETF (XLF) traded since its December 1998 launch?"
      ]
    },
    {
      "name": "fin_fin_annual",
      "title": "XLF year-by-year ledger",
      "description": "What's the annual return record of the XLF ETF? Twenty-seven complete years — 2008 alone took -55%; 2009's +17% rebound did not come close to recovery.",
      "category": "fin",
      "chapter": "Financials · I. The Twenty-Seven-Year Arc",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/fin/annual-returns.json",
      "panel_url": "https://historyofmarket.com/#panel-fin-annual",
      "static_url": "https://historyofmarket.com/fin/fin-annual/",
      "answers": [
        "What's the annual return record of the XLF ETF?"
      ]
    },
    {
      "name": "fin_fin_annual_dist",
      "title": "XLF annual return distribution",
      "description": "What does the signature shape of a 'crisis sector' look like? Mean slightly below the S&P, with an extreme left tail.",
      "category": "fin",
      "chapter": "Financials · I. The Twenty-Seven-Year Arc",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/fin/annual-tr.json",
      "panel_url": "https://historyofmarket.com/#panel-fin-annual-dist",
      "static_url": "https://historyofmarket.com/fin/fin-annual-dist/",
      "answers": [
        "What does the signature shape of a 'crisis sector' look like?"
      ]
    },
    {
      "name": "fin_fin_intrayear_dd",
      "title": "XLF intrayear drawdown vs year-end return",
      "description": "How does the Financial sector's intrayear amplitude compare to the broad market? Average intrayear drawdown close to the S&P's, but every decade or so writes the full down-leg in a single year — 2008, 2020, 2023.",
      "category": "fin",
      "chapter": "Financials · II. Intrayear Amplitude",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/fin/intrayear-dd.json",
      "panel_url": "https://historyofmarket.com/#panel-fin-intrayear-dd",
      "static_url": "https://historyofmarket.com/fin/fin-intrayear-dd/",
      "answers": [
        "How does the Financial sector's intrayear amplitude compare to the broad market?"
      ]
    },
    {
      "name": "fin_fin_crisis",
      "title": "2008 — five financial institutions vanished, five survived",
      "description": "Which big US financial institutions disappeared in 2008, and which absorbed them? Bear Stearns, Lehman Brothers, Washington Mutual, Wachovia, AIG — gone; JPMorgan, Goldman Sachs, Morgan Stanley, Bank of America, Wells Fargo — absorbed the wreckage and expanded. The editorial heart of the Financials chronicle.",
      "category": "fin",
      "chapter": "Financials · III. 2008, The Plague Year",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/fin/crisis-2008.json",
      "panel_url": "https://historyofmarket.com/#panel-fin-crisis",
      "static_url": "https://historyofmarket.com/fin/fin-crisis/",
      "answers": [
        "Which big US financial institutions disappeared in 2008, and which absorbed them?"
      ]
    },
    {
      "name": "fin_fin_rates",
      "title": "Yield curve × XLF — the causal chain",
      "description": "How does the 2y-10y yield-curve spread move XLF's trailing 12-month return? 2y-10y FRED spread since 1976 alongside XLF's trailing 12-month return. The curve moves first; the sector follows.",
      "category": "fin",
      "chapter": "Financials · IV. Curve, Classification, Composition",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/fin/rates.json",
      "panel_url": "https://historyofmarket.com/#panel-fin-rates",
      "static_url": "https://historyofmarket.com/fin/fin-rates/",
      "answers": [
        "How does the 2y-10y yield-curve spread move XLF's trailing 12-month return?"
      ],
      "related_external": [
        {
          "url": "https://dollarliquidity.com",
          "kind": "sister_publication",
          "context": "rates",
          "label": "Full rates and liquidity map — sister publication"
        }
      ]
    },
    {
      "name": "fin_fin_reclass",
      "title": "2023-03-17 GICS payments-into-financials reshuffle",
      "description": "Which companies were moved into Financials by GICS in 2023? Visa, Mastercard, PayPal, FIS, Fiserv moved from Information Technology to Financial Services overnight.",
      "category": "fin",
      "chapter": "Financials · IV. Curve, Classification, Composition",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/fin/reclass-2023.json",
      "panel_url": "https://historyofmarket.com/#panel-fin-reclass",
      "static_url": "https://historyofmarket.com/fin/fin-reclass/",
      "answers": [
        "Which companies were moved into Financials by GICS in 2023?"
      ]
    },
    {
      "name": "fin_fin_holdings",
      "title": "XLF top holdings & cumulative weight",
      "description": "What does the XLF ETF actually own today? BRK.B + JPM together ~23%; V + MA ~13%. Half banks, a quarter payments, a sliver of insurers.",
      "category": "fin",
      "chapter": "Financials · IV. Curve, Classification, Composition",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/fin/holdings.json",
      "panel_url": "https://historyofmarket.com/#panel-fin-holdings",
      "static_url": "https://historyofmarket.com/fin/fin-holdings/",
      "answers": [
        "What does the XLF ETF actually own today?"
      ]
    },
    {
      "name": "mag7_mag7_index",
      "title": "Magnificent 7 equal-weight composite since 2022-01-03",
      "description": "What would buying and rebalancing all seven Magnificent 7 names have returned since January 2022? AAPL, MSFT, NVDA, GOOGL, AMZN, META, TSLA equal-weighted, base 2022-01-03 = 100.",
      "category": "mag7",
      "chapter": "Magnificent 7 · I. The Equal-Weight Lens",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/m7/index.json",
      "panel_url": "https://historyofmarket.com/#panel-mag7-index",
      "static_url": "https://historyofmarket.com/mag7/mag7-index/",
      "answers": [
        "What would buying and rebalancing all seven Magnificent 7 names have returned since January 2022?"
      ]
    },
    {
      "name": "mag7_mag7_concentration",
      "title": "Magnificent 7 share of S&P 500 float-adjusted market cap",
      "description": "How much of the S&P 500 do the Magnificent 7 represent over time? 13% in 2018 → 33%+ at year-end 2024. The highest top-seven concentration since the Nifty Fifty era. Quarterly series cross-checked against Bloomberg, Goldman Sachs ISG, and Apollo 'Daily Spark'.",
      "category": "mag7",
      "chapter": "Magnificent 7 · II. Market Dominance",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/mag7/concentration.json",
      "panel_url": "https://historyofmarket.com/#panel-mag7-concentration",
      "static_url": "https://historyofmarket.com/mag7/mag7-concentration/",
      "answers": [
        "How much of the S&P 500 do the Magnificent 7 represent over time?"
      ]
    },
    {
      "name": "mag7_mag7_drawdown",
      "title": "Per-member peak-to-date drawdown",
      "description": "Which Magnificent 7 names have carried the deepest individual drawdowns since 2018? Small-multiples grid: MSFT held steadiest, TSLA carried the widest swings, META fell -77% in 2022 then doubled in 14 months.",
      "category": "mag7",
      "chapter": "Magnificent 7 · III. Per-Member Amplitude",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/m7/index.json",
      "panel_url": "https://historyofmarket.com/#panel-mag7-drawdown",
      "static_url": "https://historyofmarket.com/mag7/mag7-drawdown/",
      "answers": [
        "Which Magnificent 7 names have carried the deepest individual drawdowns since 2018?"
      ]
    },
    {
      "name": "mag7_mag7_correlation",
      "title": "60-day rolling pairwise correlation + 5-year average",
      "description": "Are the Magnificent 7 still seven distinct names or have they collapsed into a single trade? The matrix today plus the 5-year trajectory of the average pairwise correlation.",
      "category": "mag7",
      "chapter": "Magnificent 7 · IV. Seven Names or One Trade",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/m7/index.json",
      "panel_url": "https://historyofmarket.com/#panel-mag7-correlation",
      "static_url": "https://historyofmarket.com/mag7/mag7-correlation/",
      "answers": [
        "Are the Magnificent 7 still seven distinct names or have they collapsed into a single trade?"
      ]
    },
    {
      "name": "mag7_mag7_ai_valuation",
      "title": "AI leaders' TTM PE vs the 1999 dotcom peak",
      "description": "How do NVDA, MSFT, META, and GOOGL valuations today compare to Cisco / Oracle / Sun at the 1999 dotcom peak? Log-scale TTM PE history against the 1999 forward PE bands (CSCO 140×, ORCL 150×, SUNW 120×, MSFT-1999 60×, INTC-1999 50×). Per-name snapshot cards show distance vs the CSCO 140× anchor.",
      "category": "mag7",
      "chapter": "Magnificent 7 · IV. Seven Names or One Trade",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/mag7/ai-valuation.json",
      "panel_url": "https://historyofmarket.com/#panel-mag7-ai-valuation",
      "static_url": "https://historyofmarket.com/mag7/mag7-ai-valuation/",
      "answers": [
        "How do NVDA, MSFT, META, and GOOGL valuations today compare to Cisco / Oracle / Sun at the 1999 dotcom peak?"
      ]
    },
    {
      "name": "mag7_mag7_predecessors",
      "title": "Mag 7 lineage — Nifty Fifty → FANG → Magnificent 7",
      "description": "How does the Magnificent 7 compare to previous generations of 'unbeatable' US stock baskets? Nifty Fifty (1972) → Four Horsemen (1999) → FANG (2013) → FAANG (2017) → Magnificent 7 (2023). Each generation's peak moment and at least one ≥ -40% drawdown.",
      "category": "mag7",
      "chapter": "Magnificent 7 · V. Ancestors of M7",
      "format": "json",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/api/mag7/predecessors.json",
      "panel_url": "https://historyofmarket.com/#panel-mag7-predecessors",
      "static_url": "https://historyofmarket.com/mag7/mag7-predecessors/",
      "answers": [
        "How does the Magnificent 7 compare to previous generations of 'unbeatable' US stock baskets?"
      ]
    },
    {
      "name": "dynasties_top10_roster",
      "title": "Ten era portraits · the largest U.S. firms decade by decade",
      "description": "Who were the ten largest U.S. companies in each decade from the 1920s to today? The Top 10 of every decade — 1920s through 2020s — laid out as a single editorial matrix; ten rosters side by side reveal the migration from rail and steel to platforms and AI capex.",
      "category": "dynasties",
      "chapter": "Top 10 · I. The Roster",
      "format": "editorial",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/?tab=dynasties#panel-top10-roster",
      "panel_url": "https://historyofmarket.com/#panel-top10-roster",
      "static_url": "https://historyofmarket.com/?tab=dynasties#panel-top10-roster",
      "answers": [
        "Who were the ten largest U.S. companies in each decade from the 1920s to today?"
      ]
    },
    {
      "name": "dynasties_top10_lineage",
      "title": "Firms that stayed on the Top 10 across three decades or more",
      "description": "Which U.S. companies appeared on the Top 10 across three or more decades, and how did their rank trajectories evolve? Fourteen long-lived firms (AT&T 8 decades, Exxon 9, GE 7, IBM 5, etc.) drawn as bump-line trajectories with one-paragraph dossiers explaining what each one actually did.",
      "category": "dynasties",
      "chapter": "Top 10 · II. The Long-Lived",
      "format": "editorial",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/?tab=dynasties#panel-top10-lineage",
      "panel_url": "https://historyofmarket.com/#panel-top10-lineage",
      "static_url": "https://historyofmarket.com/?tab=dynasties#panel-top10-lineage",
      "answers": [
        "Which U.S. companies appeared on the Top 10 across three or more decades, and how did their rank trajectories evolve?"
      ]
    },
    {
      "name": "dynasties_top10_crowns",
      "title": "Who wore the #1 crown — and for how many decades",
      "description": "Which companies have held S&P 500 #1 in any decade, and which long-runners never reached the top? AT&T held #1 for two decades, IBM for three, Microsoft / Exxon / Apple / Nvidia one each. Crownless lifers (Berkshire, Procter & Gamble) and one-decade meteors (Lucent, Polaroid) tallied separately.",
      "category": "dynasties",
      "chapter": "Top 10 · III. The Crowns",
      "format": "editorial",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/?tab=dynasties#panel-top10-crowns",
      "panel_url": "https://historyofmarket.com/#panel-top10-crowns",
      "static_url": "https://historyofmarket.com/?tab=dynasties#panel-top10-crowns",
      "answers": [
        "Which companies have held S&P 500 #1 in any decade, and which long-runners never reached the top?"
      ]
    },
    {
      "name": "dynasties_top10_eclipse",
      "title": "Industries that disappeared from the Top 10",
      "description": "Which industries once dominated the Top 10 and have since vanished from the list? Rail (last in 1920s), tobacco (1920s), cameras (1980s), retail (2000s) all exited; tech, finance, healthcare, energy still on the list. Each sector's first / last / peak decade laid out as horizontal lanes.",
      "category": "dynasties",
      "chapter": "Top 10 · IV. The Eclipse",
      "format": "editorial",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/?tab=dynasties#panel-top10-eclipse",
      "panel_url": "https://historyofmarket.com/#panel-top10-eclipse",
      "static_url": "https://historyofmarket.com/?tab=dynasties#panel-top10-eclipse",
      "answers": [
        "Which industries once dominated the Top 10 and have since vanished from the list?"
      ]
    },
    {
      "name": "dynasties_top10_concurrents",
      "title": "Who sat next to whom across how many decades",
      "description": "Across the century, which pairs of companies most often shared the Top 10 list at the same time? Pairwise co-occurrence matrix plus a top-ten leaderboard of longest-running pairs: GE × AT&T 7 decades, IBM × Exxon 5 — the century's repeat boardroom companions.",
      "category": "dynasties",
      "chapter": "Top 10 · V. The Concurrents",
      "format": "editorial",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/?tab=dynasties#panel-top10-concurrents",
      "panel_url": "https://historyofmarket.com/#panel-top10-concurrents",
      "static_url": "https://historyofmarket.com/?tab=dynasties#panel-top10-concurrents",
      "answers": [
        "Across the century, which pairs of companies most often shared the Top 10 list at the same time?"
      ]
    },
    {
      "name": "dynasties_top10_aftermath",
      "title": "What happened to the firms that left the Top 10",
      "description": "After they fell off the Top 10, did the long-lived US firms get split, acquired, bankrupted, or simply linger? Six exit pathways: still on the crown · still listed but no longer Top 10 · broken up (AT&T 1984, GE 2024, DuPont 2019) · acquired (US Steel → Nippon, Lucent → Nokia) · bankrupt (Kodak 2012, Sears 2018) · lingering.",
      "category": "dynasties",
      "chapter": "Top 10 · VI. Aftermath",
      "format": "editorial",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/?tab=dynasties#panel-top10-aftermath",
      "panel_url": "https://historyofmarket.com/#panel-top10-aftermath",
      "static_url": "https://historyofmarket.com/?tab=dynasties#panel-top10-aftermath",
      "answers": [
        "After they fell off the Top 10, did the long-lived US firms get split, acquired, bankrupted, or simply linger?"
      ]
    },
    {
      "name": "dynasties_top10_spx_share",
      "title": "Peak share of the index — each firm's high-water mark",
      "description": "What share of the S&P 500 (or total U.S. listed equity, pre-1957) did each Top 10 firm hold at its peak decade? AT&T 1929 ≈ 13%, IBM 1967 ≈ 7.4%, Cisco 2000 ≈ 4.2%, Apple 2024 ≈ 7.1%, Microsoft 2024 ≈ 7%, Nvidia 2024 ≈ 7.1%. Sources: CRSP, S&P historical weights, Knoll & Crain pre-war work.",
      "category": "dynasties",
      "chapter": "Top 10 · VII. Share at Peak",
      "format": "editorial",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/?tab=dynasties#panel-top10-spx-share",
      "panel_url": "https://historyofmarket.com/#panel-top10-spx-share",
      "static_url": "https://historyofmarket.com/?tab=dynasties#panel-top10-spx-share",
      "answers": [
        "What share of the S&P 500 (or total U.S. listed equity, pre-1957) did each Top 10 firm hold at its peak decade?"
      ]
    },
    {
      "name": "dynasties_top10_pe_at_entry",
      "title": "Peak trailing P/E — log axis with Cisco 1999 as ceiling",
      "description": "What trailing P/E did each Top 10 firm reach at its peak, and how does Nvidia 2024 compare to Cisco at the 1999 dot-com top? Cisco March 2000 at 137× sets the human-record ceiling; Microsoft 1999 at 71×, Polaroid 1972 at 91×, Tesla 2021 at 1120×, Nvidia 2024 at 78× sixty multiples below Cisco. Log axis with the S&P 500 long-run 18× midline.",
      "category": "dynasties",
      "chapter": "Top 10 · VIII. PE at Peak",
      "format": "editorial",
      "input_schema": {
        "type": "object",
        "properties": {},
        "additionalProperties": false
      },
      "url": "https://historyofmarket.com/?tab=dynasties#panel-top10-pe-at-entry",
      "panel_url": "https://historyofmarket.com/#panel-top10-pe-at-entry",
      "static_url": "https://historyofmarket.com/?tab=dynasties#panel-top10-pe-at-entry",
      "answers": [
        "What trailing P/E did each Top 10 firm reach at its peak, and how does Nvidia 2024 compare to Cisco at the 1999 dot-com top?"
      ]
    }
  ]
}