Global Index Daily OHLCV — 20 Years (2006–2026)

DatasetCSV.GZOpenFinanceIndicesOHLCVBenchmarkGlobalMacroFree

Twenty years of daily OHLCV for 36 major global equity indices, volatility benchmarks, and US Treasury-yield series — 185,681 index-day rows in a single gzipped CSV. Coverage spans US broad-market (S&P 500/400/600, NASDAQ Composite, NASDAQ-100, Dow, Russell 2000, NYSE), volatility (VIX, VXN), Treasury yields (5y/10y/30y), European majors (FTSE 100, DAX, CAC 40, Euro Stoxx 50, IBEX, FTSE MIB, SMI, AEX, OMX), Asia-Pacific (Nikkei 225, TOPIX, Hang Seng, Shanghai/Shenzhen, KOSPI, TAIEX, SENSEX, NIFTY 50, ASX 200, NZX 50), and Americas ex-US (TSX, Bovespa, IPC, Merval). Pairs naturally with the existing Index Constituent History listing for survivorship-bias-free benchmark studies. Each row tags symbol, human-readable name, country (ISO), and quote currency. Read with pandas.read_csv(path, compression='gzip', parse_dates=['date']). Useful for: benchmark backtesting, beta computation, regime detection (VIX/yields), cross-asset correlation studies, and as the reference series for relative-strength signals.

Use Cases

Index-level backtesting and benchmark beta computation
Regime detection from VIX and Treasury-yield series
Cross-country / cross-asset correlation studies
Pairing with the Index Constituent History listing for survivorship-bias-free analyses
Reference index for relative-strength and breadth signals

Methodology

Curated list of 39 global equity indices, volatility benchmarks, and US Treasury-yield series. Each symbol fetched in two windows (2006–2015 / 2016–present) against FMP's /stable/historical-price-eod/full endpoint (5,000-row cap per call). Output is a single gzipped CSV sorted by (symbol, date ascending), with human-readable name, ISO country, and quote currency joined onto each row.

Update Schedule

Static snapshot. Re-run weekly or quarterly for fresh data.

Attribution

Source: end-of-day index quotes via Financial Modeling Prep.

Schema

name	type
symbol	string
name	string
country	string
currency	string
date	date
open	number
high	number
low	number
close	number
volume	number
change	number
changePercent	number
vwap	number

Sample Data

low	date	high	name	open	vwap	close	change	symbol	country	currency	changePercent
437.56	2006-01-02	440.65	AEX (Netherlands)	437.56	439.0725	440.52	2.96	^AEX	NL	EUR	0.67648
439.94	2006-01-03	445.79	AEX (Netherlands)	441.37	442.2575	441.93	0.55999	^AEX	NL	EUR	0.12688
443.18	2006-01-04	446.72	AEX (Netherlands)	445.64	445.135	445.0	-0.64001	^AEX	NL	EUR	-0.14361

Get this via API

# 1. Add dAgentBase once, in any MCP client. No install, no vendor keys.
#    Claude.ai / Claude Desktop: Settings -> Connectors -> Add custom connector
#    Cursor / Claude Code / others: mcp.json
{
  "mcpServers": {
    "dagentbase": {
      "url": "https://dagentbase.com/api/mcp",
      "headers": { "Authorization": "Bearer dm_live_YOUR_KEY" }
    }
  }
}

# 2. Then ask your agent, in plain language:
#    "Preview 'Global Index Daily OHLCV — 20 Years (2006–2026)' and, if it fits, claim it and download the files."
#    Tools it will use: search_listings -> preview_listing -> purchase_listing -> get_download_urls

# 1. Add dAgentBase once, in any MCP client. No install, no vendor keys.
#    Claude.ai / Claude Desktop: Settings -> Connectors -> Add custom connector
#    Cursor / Claude Code / others: mcp.json
{
  "mcpServers": {
    "dagentbase": {
      "url": "https://dagentbase.com/api/mcp",
      "headers": { "Authorization": "Bearer dm_live_YOUR_KEY" }
    }
  }
}

# 2. Then ask your agent, in plain language:
#    "Preview 'Global Index Daily OHLCV — 20 Years (2006–2026)' and, if it fits, claim it and download the files."
#    Tools it will use: search_listings -> preview_listing -> purchase_listing -> get_download_urls

Free

one time · open license

Details

Date Range2006-01-01 — 2026-09-05

Rows185,681

Size5.2 MB

Files1

FormatCSV.GZ

Available formats

CSV.GZ5.2 MB

Freeopen