Markets covered · End-of-day snapshot|~22,000 equities · 23 exchanges
Market data,
sliced your way.
Skip the $24k-a-year terminal. Buy clean, ready-to-load equity data for exactly the theme, country, exchange or sector you need — delivered as CSV, Parquet, or NDJSON in under a minute.
Instant download 30-day refund No subscription required
Drop your CSV into ChatGPT or Claude — screen stocks without code ~22,000Equities covered
23Exchanges · 11 sectors
From $10One-time · no subscription
AAPL224.61+0.82%NASDAQ
MSFT438.10+0.41%NASDAQ
NVDA139.85-1.17%NASDAQ
TSLA351.04+2.18%NASDAQ
AMZN207.14+0.62%NASDAQ
JPM248.77-0.14%NYSE
BAC 47.92+0.34%NYSE
XOM118.04-0.92%NYSE
SAP234.10+1.04%XETRA
ASML692.30+0.46%Euronext Amsterdam
LVMH612.50-0.31%Euronext Paris
HSBA 8.92+0.71%London
72032,481+0.18%Tokyo
00593081,400-0.74%KOSPI
RY171.30+0.21%Toronto
BHP 43.61-0.55%ASX
AAPL224.61+0.82%NASDAQ
MSFT438.10+0.41%NASDAQ
NVDA139.85-1.17%NASDAQ
TSLA351.04+2.18%NASDAQ
AMZN207.14+0.62%NASDAQ
JPM248.77-0.14%NYSE
BAC 47.92+0.34%NYSE
XOM118.04-0.92%NYSE
SAP234.10+1.04%XETRA
ASML692.30+0.46%Euronext Amsterdam
LVMH612.50-0.31%Euronext Paris
HSBA 8.92+0.71%London
72032,481+0.18%Tokyo
00593081,400-0.74%KOSPI
RY171.30+0.21%Toronto
BHP 43.61-0.55%ASX
Works with your stackpandasDuckDBExcelJupyterChatGPTClaude
See the data
The exact file you'll download.
No samples-only games.
Browse a real preview of the dataset — same schema, same precision, same field names. Every column belongs to a package you can buy on its own; click one below to see exactly what it delivers.
Six packages, built to spot the movers early.
Every column below belongs to a package you can add on its own. Use them to surface stocks before they run and themes that still have room to outperform — Identifiers are always included, free.
The complete datasetEverything you need to find an edge.
All six packages — momentum, money-flow, themes and fundamentals — joined into one clean row per ticker across the entire universe. No plumbing, no joins, no missing keys.
Use it to
- Screen ~22,000 names in seconds
- Rank by momentum, value or volume
- Spot leaders before they're obvious
stockdata_global_sample.csv
10 of ~22,000 rows
| ticker | name | exchange | country_code | currency | sector | industry | sector_key | industry_key | main_thematic | thematic_group | thematics | thematics_confidence | theme_summary | business_summary | employees | website | gov_risk_overall | next_earnings_date | ret_1d | ret_1w | ret_1m | ret_3m | ret_ytd | ret_1y | last_close | high_52w | low_52w | rsi_14 | macd | macd_signal | bb_upper | bb_lower | sma_50 | sma_200 | ema_20 | adx_14 | plus_di | minus_di | atr_14 | obv | stoch_k | fisher | wave_trend | roc_10 | elder_impulse | vol_ratio_1d | vol_ratio_3d | vol_ratio_5d | vol_zscore_1d | vol_zscore_3d | vol_rank_20d | median_volume_50d | median_dollar_volume_50d | days_elevated | cmf_20 | vpd_score | ud_volume_ratio_50d | float_turnover | stealth_accumulation | signal_tier | alert_level | revenue_ttm | net_income_ttm | ebitda_ttm | gross_margin | operating_margin | profit_margin | roe | roa | debt_to_equity | current_ratio | free_cash_flow | revenue_growth | earnings_growth | eps_ttm | dividend_yield | payout_ratio | market_cap | enterprise_value | shares_outstanding | float_shares | pe_ttm | forward_pe | price_to_book | price_to_sales | ev_to_ebitda | ev_to_revenue | peg_ratio |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AAPL | Apple Inc. | Nasdaq GS | United States | USD | Technology | Consumer Electronics | technology | consumer-electronics | semiconductor-design | semiconductors | [share-buyback-heavy, ai-applications, china-exposure, streaming-media, generative-ai, ar-vr-mixed-reality, payment-processing, ecommerce-marketplaces, martech-adtech] | 0.95 | Apple designs and sells premium consumer hardware (iPhone, Mac, iPad, wearables, Vision Pro) powered by proprietary Apple Silicon chips, operates a large and fast-growing services platform (App Store,… | Apple Inc. designs, manufactures, and markets smartphones, personal computers, tablets, wearables, and accessories worldwide. The company offers iPhone, a line of smartphones; Mac, a line of personal… | 166,000 | https://www.apple.com | 1 | 2026-07-30 | +2.70% | -1.27% | -5.53% | +13.07% | +6.87% | +39.66% | 289.36 | 317.40 | 199.26 | 46.91 | -2.79 | -0.70 | 315.90 | 275.95 | 292.25 | 270.03 | 292.77 | 25.56 | 13.94 | 24.21 | 8.34 | 3,090,505,450 | 54.45 | -0.45 | -40.01 | -2.38 | blue | 1.41 | 2.86 | 2.42 | 2.33 | 10.62 | 0.63 | 45,740,350 | $13.24B | 0 | -0.14 | 52.11 | 1.32 | 0.0044 | true | C | elevated | $451.44B | $122.58B | $159.98B | 47.86% | 32.28% | 27.15% | 141.47% | 26.23% | 79.55 | 1.07 | $129.17B | +16.60% | +21.80% | 8.26 | 0.39% | 12.59% | $4.25T | $4.15T | 14.69B | 14.66B | 33.92 | 29.29 | 46.71 | 9.10 | 25.82 | 9.15 | 2.44 |
| MSFT | Microsoft Corporation | Nasdaq GS | United States | USD | Technology | Software - Infrastructure | technology | software-infrastructure | generative-ai | ai-software-and-robotics | [ai-datacenter-infrastructure, saas, cybersecurity, developer-tools, data-platforms, gaming-software, share-buyback-heavy, healthtech-software, social-media] | 0.95 | Microsoft is a global cloud and AI platform company whose core businesses are Azure (cloud infrastructure and AI services with 40% growth), Microsoft 365 (productivity SaaS with 100M+ Copilot MAUs), a… | Microsoft Corporation develops and supports software, services, devices, and solutions worldwide. The Productivity and Business Processes segment offers Microsoft 365 commercial, enterprise mobility +… | 228,000 | https://www.microsoft.com | 5 | 2026-07-29 | +1.21% | +2.07% | -19.00% | -0.01% | -4.11% | -4.11% | 373.02 | 466.32 | 349.20 | 41.91 | -12.45 | -10.07 | 439.72 | 343.58 | 401.81 | — | 386.06 | 28.34 | 20.35 | 33.30 | 12.95 | -14,353,142 | 42.66 | -0.87 | -45.46 | -6.69 | blue | 0.80 | 0.93 | 0.90 | -0.68 | -0.25 | 0.16 | 34,248,750 | $14.54B | 0 | 0.18 | 37.52 | 0.93 | 0.0037 | false | C | none | $318.27B | $125.22B | $198.88B | 68.31% | 46.33% | 39.34% | 34.01% | 14.81% | 30.27 | 1.28 | $72.92B | +18.30% | +23.40% | 16.79 | 0.87% | 20.73% | $2.77T | $2.82T | 7.43B | 7.42B | 24.82 | 21.53 | 7.47 | 9.73 | 17.04 | 9.87 | 1.28 |
| NVDA | NVIDIA Corporation | Nasdaq GS | United States | USD | Technology | Semiconductors | technology | semiconductors | ai-chips | semiconductors | [generative-ai, ai-datacenter-infrastructure, high-growth, semiconductor-design, gpu-cloud-compute, robotics-hardware, autonomous-driving-software, china-exposure, gaming-software] | 0.98 | NVIDIA is the dominant designer of AI accelerator chips (GPUs) and the full-stack AI infrastructure platform underpinning data centers, generative AI workloads, robotics, and autonomous driving, with… | NVIDIA Corporation operates as a data center scale AI infrastructure company. The company operates through two segments, Compute & Networking, and Graphics segments. The Compute & Networking segment p… | 42,000 | https://www.nvidia.com | 8 | 2026-08-26 | +2.63% | +0.55% | -10.71% | +12.80% | +5.96% | +30.54% | 200.09 | 236.54 | 151.49 | 45.21 | -3.88 | -2.57 | 221.41 | 190.07 | 209.99 | 190.84 | 204.22 | 17.28 | 19.30 | 28.19 | 6.34 | 28,533,623,401 | 42.54 | -1.15 | -47.68 | -5.82 | blue | 1.02 | 1.02 | 0.99 | 0.07 | 0.09 | 0.68 | 160,505,100 | $32.12B | 0 | -0.10 | 38.69 | 0.84 | 0.0070 | false | C | none | $253.49B | $159.61B | $192.97B | 74.15% | 65.60% | 62.97% | 114.29% | 52.73% | 6.56 | 3.44 | $119.08B | +85.20% | +214.50% | 6.52 | 0.49% | 0.61% | $4.66T | $4.62T | 24.22B | 23.22B | 31.46 | 16.17 | 31.69 | 19.60 | 29.74 | 19.42 | 0.63 |
| AMZN | Amazon.com, Inc. | Nasdaq GS | United States | USD | Consumer Cyclical | Internet Retail | consumer-cyclical | internet-retail | ecommerce-marketplaces | retail-and-ecommerce | [ai-datacenter-infrastructure, generative-ai, martech-adtech, streaming-media, logistics-and-3pl, ai-chips, iot-platforms, grocery-and-supermarkets, share-buyback-heavy] | 0.95 | Amazon operates the world's largest e-commerce marketplace and cloud platform (AWS), while rapidly expanding its AI infrastructure, custom silicon (Trainium chips), digital advertising, and Prime subs… | Amazon.com, Inc. engages in the retail sale of consumer products, advertising, and subscriptions service through online and physical stores in North America and internationally. The company operates t… | 1,575,000 | https://www.amazon.com | 9 | 2026-07-30 | -0.75% | +1.74% | -8.77% | +13.62% | +5.23% | +8.11% | 238.34 | 278.56 | 196.00 | 44.91 | -5.75 | -5.65 | 256.28 | 226.43 | 255.69 | 232.86 | 242.13 | 30.23 | 24.58 | 25.15 | 8.63 | 1,822,234,611 | 52.94 | -0.53 | -40.28 | -3.12 | blue | 1.56 | 3.12 | 2.58 | 2.85 | 10.81 | 0.68 | 41,853,350 | $9.98B | 5 | -0.13 | 207.83 | 1.20 | 0.0067 | true | C | extreme | $742.78B | $90.80B | $188.44B | 50.60% | 13.14% | 12.22% | 24.29% | 6.85% | 53.30 | 1.18 | $-2.47B | +16.60% | +74.80% | 7.77 | — | 0.00% | $2.56T | $2.68T | 10.76B | 9.78B | 31.66 | 24.94 | 5.99 | 3.56 | 17.57 | 3.69 | 1.83 |
| GOOGL | Alphabet Inc. | Nasdaq GS | United States | USD | Communication Services | Internet Content & Information | communication-services | internet-content-information | martech-adtech | software-and-saas | [generative-ai, saas, ai-datacenter-infrastructure, streaming-media, ai-chips, cybersecurity, autonomous-driving-software, data-platforms, share-buyback-heavy] | 0.95 | Alphabet is a global technology conglomerate whose business is anchored by Google Search advertising and YouTube (together over 60% of revenue), a rapidly growing Google Cloud division driven by AI/Ge… | Alphabet Inc. offers various products and platforms in the United States, Europe, the Middle East, Africa, the Asia-Pacific, Canada, and Latin America. It operates through Google Services, Google Clou… | 194,668 | https://abc.xyz | 10 | 2026-07-23 | +1.05% | +3.50% | -5.05% | +12.21% | +16.36% | +16.36% | 357.37 | 403.70 | 273.95 | 49.84 | -3.57 | -1.59 | 378.59 | 338.47 | 355.05 | — | 357.38 | 21.05 | 21.77 | 24.93 | 12.87 | -355,736,367 | 59.32 | -0.73 | -39.52 | -3.24 | green | 0.89 | 0.74 | 0.73 | -0.33 | -0.83 | 0.68 | 29,498,450 | $10.16B | 0 | 0.25 | 55.04 | 0.81 | 0.0024 | false | C | none | $422.50B | $160.21B | $218.81B | 60.37% | 36.12% | 37.92% | 38.88% | 14.64% | 20.03 | 1.92 | $64.43B | +21.80% | +82.00% | 13.12 | 0.24% | 6.41% | $4.36T | $4.25T | 5.87B | 10.82B | 28.09 | 25.48 | 9.33 | 10.64 | 27.49 | 10.50 | 1.45 |
| META | Meta Platforms, Inc. | Nasdaq GS | United States | USD | Communication Services | Internet Content & Information | communication-services | internet-content-information | social-media | internet-and-digital-media | [martech-adtech, generative-ai, ar-vr-mixed-reality, ai-applications, ai-chips, ai-datacenter-infrastructure, share-buyback-heavy, ecommerce-marketplaces] | 0.95 | Meta Platforms operates the world's largest social media and messaging ecosystem (Facebook, Instagram, WhatsApp, Threads) monetized almost entirely through AI-optimized digital advertising, while simu… | Meta Platforms, Inc. engages in the development of products that enable people to connect and share with friends and family through mobile devices, personal computers, virtual reality (VR) headsets, a… | 77,986 | https://www.meta.com | 10 | 2026-07-29 | +0.12% | +1.01% | -6.19% | -1.94% | -13.32% | -21.50% | 563.29 | 796.25 | 520.26 | 42.76 | -14.69 | -13.85 | 622.93 | 532.95 | 608.11 | 648.13 | 575.80 | 18.72 | 20.57 | 31.70 | 18.65 | 122,731,359 | 35.21 | -1.16 | -45.74 | -5.09 | blue | 1.05 | 1.09 | 1.06 | 0.15 | 0.29 | 0.32 | 15,179,050 | $8.55B | 0 | -0.17 | 209.22 | 0.74 | 0.0072 | false | C | none | $214.96B | $70.59B | $111.50B | 81.94% | 40.62% | 32.84% | 32.93% | 16.40% | 35.61 | 2.35 | $48.25B | +33.10% | +62.40% | 27.52 | 0.35% | 7.64% | $1.43T | $1.43T | 2.20B | 2.19B | 21.55 | 16.40 | 6.18 | 7.00 | 13.82 | 7.03 | 0.86 |
| TSLA | Tesla, Inc. | Nasdaq GS | United States | USD | Consumer Cyclical | Auto Manufacturers | consumer-cyclical | auto-manufacturers | ev-makers | ev-and-energy-storage | [automotive-oems, autonomous-driving-software, energy-storage, robotics-hardware, ev-charging, china-exposure, solar, generative-ai, high-growth] | 0.95 | Tesla designs and manufactures electric vehicles (its largest but declining revenue source), while pivoting toward AI-driven autonomy via its robotaxi/FSD platform, the Optimus humanoid robot, and a f… | Tesla, Inc. designs, develops, manufactures, leases, and sells electric vehicles, and energy generation and storage systems in the United States, China, and internationally. The company operates in tw… | 134,785 | https://www.tesla.com | 10 | 2026-07-22 | +2.13% | +12.00% | +1.13% | +16.64% | -3.99% | +39.87% | 420.60 | 498.83 | 288.77 | 56.78 | -3.31 | -4.39 | 432.14 | 369.04 | 405.62 | 418.54 | 401.06 | 16.93 | 29.75 | 22.24 | 17.48 | 8,083,859,573 | 92.96 | -0.41 | -23.85 | 2.30 | green | 0.82 | 1.00 | 0.87 | -0.90 | 0.03 | 0.26 | 50,697,500 | $21.32B | 0 | 0.06 | 38.72 | 1.25 | 0.0159 | false | C | none | $97.88B | $3.86B | $12.07B | 19.07% | 4.20% | 3.95% | 4.90% | 2.23% | 18.74 | 2.04 | $7.00B | +15.80% | +8.30% | 1.09 | — | 0.00% | $1.58T | $1.52T | 3.76B | 2.63B | 358.72 | 156.11 | 17.86 | 15.00 | 129.83 | 14.72 | 5.38 |
| JPM | JPMorgan Chase & Co. | NYSE | United States | USD | Financial Services | Banks - Diversified | financial-services | banks-diversified | money-center-banks | banks | [investment-banking, asset-management, wealth-management, consumer-finance, rate-sensitive-positive, payment-processing, mortgage-finance, ai-applications, cryptocurrency-and-digital-assets] | 0.98 | JPMorgan Chase operates as a global universal bank spanning consumer and community banking, commercial and investment banking, and asset and wealth management, while aggressively investing $20 billion… | JPMorgan Chase & Co. operates as a bank and financial holding company in the United States, rest of North America, Europe, the Middle East, Africa, the Asia Pacific, Latin America, and the Caribbean.… | 320,079 | https://www.jpmorganchase.com | 3 | 2026-07-14 | -0.63% | -1.84% | +10.37% | +11.68% | +1.54% | +14.91% | 327.33 | 343.45 | 279.10 | 58.05 | 6.77 | 6.49 | 343.73 | 298.41 | 311.84 | 308.23 | 322.68 | 27.96 | 28.03 | 17.18 | 7.69 | 265,339,120 | 53.37 | 0.29 | 44.46 | 2.48 | blue | 0.51 | 1.20 | 1.16 | -2.45 | 1.01 | 0.00 | 8,252,400 | $2.70B | 0 | -0.08 | 81.05 | 1.04 | 0.0016 | false | C | none | $186.35B | $58.90B | — | — | 43.74% | 33.94% | 16.47% | 1.27% | — | — | $-107.70B | +12.70% | +17.20% | 20.90 | 1.92% | 28.24% | $877.08B | $641.51B | 2.68B | 2.67B | 14.95 | 13.26 | 2.43 | 4.82 | — | 3.43 | 1.66 |
| V | Visa Inc. | NYSE | United States | USD | Financial Services | Credit Services | financial-services | credit-services | payment-processing | fintech-and-crypto | [fintech-software, emerging-markets-exposure, share-buyback-heavy, cybersecurity, data-platforms, ai-applications, ecommerce-platforms] | 0.98 | Visa operates the world's largest card payment network (VisaNet), enabling authorization, clearing, and settlement of consumer and commercial transactions globally, while increasingly monetizing value… | Visa Inc. operates as a payment technology company in the United States and internationally. The company operates VisaNet, a transaction processing network that enables authorization, clearing, and se… | 34,100 | https://www.visa.com | 2 | 2026-07-28 | +0.42% | +3.27% | +6.30% | +14.30% | -0.57% | -2.72% | 343.09 | 359.66 | 293.89 | 66.46 | 4.23 | 2.53 | 342.58 | 311.02 | 324.18 | 328.72 | 329.89 | 18.20 | 28.25 | 12.38 | 7.02 | 249,388,305 | 90.23 | 1.08 | 57.83 | 5.95 | green | 1.07 | 1.72 | 1.47 | 0.28 | 2.81 | 0.53 | 6,938,450 | $2.38B | 0 | -0.23 | 214.63 | 1.00 | 0.0044 | true | C | elevated | $43.03B | $22.24B | $28.37B | 81.29% | 67.35% | 51.68% | 60.35% | 19.19% | 67.23 | 1.09 | $21.18B | +17.10% | +35.50% | 11.47 | 0.86% | 21.97% | $652.47B | $654.41B | 1.66B | 1.69B | 27.88 | 21.53 | 17.15 | 14.13 | 19.88 | 13.93 | 1.43 |
| JNJ | Johnson & Johnson | NYSE | United States | USD | Healthcare | Drug Manufacturers - General | healthcare | drug-manufacturers-general | pharmaceuticals-large-cap | biotech-and-pharma | [medical-devices, oncology, dividend-payer, vision-and-ophthalmology, neuroscience, surgical-robotics, cell-therapy, emerging-markets-exposure, share-buyback-heavy] | 0.95 | Johnson & Johnson is a global healthcare company operating through two segments—Innovative Medicine (oncology, immunology, neuroscience, and cardiopulmonary pharmaceuticals including Darzalex, Carvykt… | Johnson & Johnson, together with its subsidiaries, engages in the research and development, manufacture, and sale of a range of products in the healthcare field worldwide. It operates in two segments,… | 138,200 | https://www.jnj.com | 4 | 2026-07-15 | -1.76% | +5.38% | +13.63% | +5.10% | +23.84% | +66.95% | 253.97 | 259.88 | 151.01 | 67.36 | 5.65 | 3.28 | 256.93 | 218.15 | 231.53 | 218.13 | 240.16 | 23.00 | 38.99 | 12.81 | 5.88 | -137,783,037 | 81.75 | 1.27 | 52.37 | 7.77 | blue | 0.59 | 1.28 | 1.24 | -2.53 | 1.70 | 0.00 | 7,690,850 | $1.95B | 0 | 0.21 | 33.50 | 0.97 | 0.0019 | false | C | elevated | $96.36B | $21.04B | $33.71B | 67.82% | 27.41% | 21.83% | 26.42% | 8.42% | 67.73 | 1.03 | $17.41B | +9.90% | -52.90% | 8.64 | 2.30% | 60.25% | $611.36B | $655.23B | 2.41B | 2.40B | 26.94 | 18.30 | 6.90 | 5.81 | 17.28 | 6.16 | 3.03 |
Example rows — the 10 most-popular tickers, as of 2026-07-01. Every order delivers one row per ticker in your scope, with the packages you choose.
Want the actual file? Grab a free 10-ticker sample — all 89 columns — plus a copy-paste AI prompt pack.
How it works
Your dataset, in three clicks.
No sales calls, no procurement back-and-forth. Configure, pay, download.
1
Pick your slice
Theme, country, exchange, sector, or region. The whole universe is fine too — but you probably don't need it.
scope = "theme:ai-applications"
2
Pick your fields
Identifiers are always in. Add data bundles — profile & themes, performance, volume, financials — only the ones you need.
fields = [price, volume,
mktcap, pe, div]
mktcap, pe, div]
3
Pay & download
Stripe checkout, instant delivery. CSV / Parquet / NDJSON — plus a starter notebook for DuckDB and pandas.
format = "parquet"
delivery = "<60 sec"
delivery = "<60 sec"
What's inside
89 data points per ticker.
Everything you'd pull from 4 vendors.
Identifiers, company profile & themes, performance, technical signals, the volume / accumulation scanner and financials — joined on the ticker and ready to load. Companies are mapped into 20 curated investment themes, so you can buy the next big trend wholesale. Every field is documented; every value is timestamped.
Identifiers5 fields
tickerTickerPrimary exchange symbol (e.g. AAPL, 7203)
nameIssuer nameFull company name
exchangeExchangeListing venue name (e.g. NYSE, London, Tokyo)
country_codeCountryDomicile (full name, e.g. United States)
currencyCurrencyTrading currency (ISO-4217)
Company Profile & Themes14 fields
sectorSectorSector classification
industryIndustryIndustry classification
sector_keySector keyMachine-readable sector slug
industry_keyIndustry keyMachine-readable industry slug
main_thematicPrimary themeLead investment theme (e.g. ai-applications)
thematic_groupTheme groupBroader grouping for the primary theme (e.g. semiconductors)
thematicsSecondary themesAdditional themes, ranked by confidence
thematics_confidenceTheme confidenceConfidence score for the primary theme
theme_summaryTheme summaryLLM-written business / theme summary
business_summaryBusiness summaryCompany description
employeesEmployeesFull-time headcount
websiteWebsiteCorporate site
gov_risk_overallGovernance riskOverall governance-risk score
next_earnings_dateNext earningsUpcoming report date
Performance9 fields
ret_1dReturn 1d1-day total return
ret_1wReturn 1w1-week return
ret_1mReturn 1m1-month return
ret_3mReturn 3m3-month return
ret_ytdReturn YTDYear-to-date return
ret_1yReturn 1y1-year return
last_closeLast closeMost recent close price
high_52w52-week highRolling 52-week high
low_52w52-week lowRolling 52-week low
Technical Signals18 fields
rsi_14RSI (14)Relative strength index
macdMACDMACD line
macd_signalMACD signalSignal line
bb_upperBollinger upperUpper band (20, 2σ)
bb_lowerBollinger lowerLower band (20, 2σ)
sma_50SMA 5050-day moving average
sma_200SMA 200200-day moving average
ema_20EMA 2020-day exp. moving average
adx_14ADX (14)Trend strength
plus_di+DI (14)Directional indicator +DI
minus_di−DI (14)Directional indicator −DI
atr_14ATR (14)Average true range
obvOBVOn-balance volume
stoch_kStochastic %KStochastic oscillator
fisherFisher transformFisher transform
wave_trendWave TrendWave-trend oscillator
roc_10ROC (10)Rate of change
elder_impulseElder impulseImpulse-system color
Volume & Accumulation16 fields
vol_ratio_1dVol ratio 1d1-day volume vs baseline
vol_ratio_3dVol ratio 3d3-day volume vs baseline
vol_ratio_5dVol ratio 5d5-day volume vs baseline
vol_zscore_1dVol z-score 1d1-day volume z-score
vol_zscore_3dVol z-score 3d3-day volume z-score
vol_rank_20dVol rank 20dVolume percentile over 20 days
median_volume_50dMedian vol 50d50-day median share volume
median_dollar_volume_50dMedian $-vol 50d50-day median dollar volume
days_elevatedDays elevatedConsecutive elevated-volume days
cmf_20Chaikin MF (20)20-period Chaikin Money Flow
vpd_scoreVol-price divergenceVolume-price divergence score
ud_volume_ratio_50dUp/down vol 50dUp vs down volume, 50 days
float_turnoverFloat turnoverVolume as a fraction of float
stealth_accumulationStealth accumulationQuiet-accumulation flag
signal_tierSignal tierSignal-quality tier
alert_levelAlert levelVolume-anomaly alert level
Financials27 fields
revenue_ttmRevenue (TTM)Trailing 12-mo revenue
net_income_ttmNet income (TTM)Trailing net income
ebitda_ttmEBITDA (TTM)Trailing EBITDA
gross_marginGross marginGross margin %
operating_marginOperating marginOperating margin %
profit_marginProfit marginNet margin %
roeROEReturn on equity
roaROAReturn on assets
debt_to_equityDebt / equityLeverage ratio
current_ratioCurrent ratioLiquidity
free_cash_flowFree cash flowTrailing FCF
revenue_growthRevenue growthYoY revenue growth
earnings_growthEarnings growthYoY earnings growth
eps_ttmEPS (TTM)Trailing EPS
dividend_yieldDividend yieldIndicated annual yield
payout_ratioPayout ratioDividend payout %
market_capMarket capMarket capitalization
enterprise_valueEnterprise valueEV
shares_outstandingShares outTotal shares issued
float_sharesFloatFreely-tradable shares
pe_ttmP/E (TTM)Trailing P/E
forward_peForward P/EForward P/E
price_to_bookP/BPrice / book
price_to_salesP/SPrice / sales
ev_to_ebitdaEV/EBITDAEV / EBITDA
ev_to_revenueEV/RevenueEV / revenue
peg_ratioPEGP/E to growth
Works with AI
Your data, ready for ChatGPT.
Download a clean CSV, drop it into ChatGPT or Claude, and ask it to screen for value stocks, flag momentum setups, or compare a whole sector's financials. No code, no database — just you, your question, and 89 columns per ticker. Consistent column names, ISO codes, no merged cells, so the model reads it right the first time.
- Rank these stocks by P/E and EV/EBITDA — which looks cheapest on both?
- Compare free cash flow, ROE and revenue growth — which is the best business?
- Which names have the strongest 3-month momentum, and how overbought is each on RSI?
- Compare gross margins across these names and flag the outliers.
Free kit
AI Stock Screener Kit
A real 10-ticker sample across all 89 columns, plus a copy-paste prompt pack for ChatGPT and Claude. No purchase, no card — just your email.
Or build your full datasetCoverage
23 exchanges. ~22,000 equities.
Buy a slice, not the whole thing.
Most data vendors sell you the entire universe at enterprise prices. FullStockData lets you buy just the slice you actually use — by theme, country, exchange, or sector.
~22,000
Equity tickers
Includes all three Nasdaq tiers (Global Select, Global Market, Capital Market — small-cap listings included), plus NYSE / NYSE American / NYSE Arca and the major European and APAC venues. ADRs and dual listings are included; the universe covers active listings only, so delisted tickers drop out.
11 / 158
Sectors / industries
Standard sector & industry classification, with a machine-readable key for each.
Daily
End-of-day refresh
A fresh snapshot every trading day, timestamped to the second — you always know exactly how current your file is.
United States (NYSE)Americas
United States (Nasdaq GS)Americas
United States (NYSE American)Americas
United States (Nasdaq CM)Americas
United States (Nasdaq GM)Americas
United States (NYSE Arca)Americas
Canada (Toronto)Americas
Brazil (B3 São Paulo)Americas
United Kingdom (London)Europe
Germany (XETRA)Europe
Germany (Frankfurt)Europe
France (Euronext Paris)Europe
Netherlands (Euronext Amsterdam)Europe
Italy (Milan)Europe
Switzerland (SIX Swiss)Europe
Poland (Warsaw)Europe
Sweden (Stockholm)Europe
Norway (Oslo)Europe
Denmark (Copenhagen)Europe
Finland (Helsinki)Europe
Japan (Tokyo)Asia-Pacific
Australia (ASX)Asia-Pacific
South Korea (KOSPI)Asia-Pacific
Who it's for
Built for how you work.
Screen like a quant, load it like an engineer, or just ask an AI — the same clean file fits the way you already work.
We dropped a Bloomberg terminal we mostly used for screening. A sector cut runs about $129 and the CSV lands in our warehouse the minute I check out — under 1% of what the terminal cost.
One file, consistent column names, no ETL. It loads straight into DuckDB and I'm backtesting in minutes — no more stitching three vendor APIs together.
I download a theme, drop the CSV into ChatGPT, and ask it to rank the names by free cash flow and momentum. No code, no terminal — just a question and clean data.
$24k → $129
Replaces terminal seats
Pay only for the slice you query. Most teams cover all their screening for under $1k a year.
< 60 sec
From click to CSV
Including Stripe checkout. Files land in your inbox before you've made coffee.
Pricing
Pay once. No subscription.
No seats, no contracts, no sales calls. Buy a dataset slice or a single-stock analysis — delivered in under a minute.
Specific stocks
Hand-pick the exact names you want
from $10 USD
per basket · every column included
- Every column we have — nothing to toggle
- $10 for one · $20 up to 5 · $50 up to 20
- Latest end-of-day snapshot
- Personal & internal-team license
- 30-day refund guarantee
Theme, country, or exchange
One slice of the market
from $69 USD
theme $69 · country $79 · exchange $99
- Choose any field bundles you need
- Latest end-of-day snapshot
- Sample DuckDB & pandas queries
- Personal & internal-team license
- 30-day refund guarantee
Most popular
Sector or region
A whole market sector or world region
from $129 USD
sector $129 · region $189 · all formats
- Everything in a single slice
- Cross-exchange in one file
- FX-normalized USD column
- Priority email support
- Personal & internal-team license
- 30-day refund guarantee
Global universe
All 23 exchanges, ~22,000 active equities
$599 USD
one-time · all formats
- Everything in Sector or region
- All exchanges, all sectors
- Every data bundle included — 89 columns
- $30 refresh link, re-run anytime
- Commercial license available
New
Single-Stock Analysis
AI analysis page for any of ~22,000 stocks
$9 USD
per ticker · 30 days of live access
- Accumulation signal detail — score, tier, alert level
- Technical posture — trend, momentum & volatility indicators
- Fundamentals trends — revenue, margins & valuation ratios
- X sentiment — recent post volume & tone summary
- Live-refreshing page — data updates each market day
After purchase
Need a fresh snapshot later? $30 flat.
Every order comes with a one-click refresh link. Same slice, same fields, same format — re-run against the latest end-of-day data for $30, whenever you need it. No subscription.
$30per refresh
Need redistribution rights or a SLA? Talk to sales →
FAQ
Common questions.
FullStockData is built from consolidated end-of-day market data and publicly available company information, normalized through our own ETL pipeline into one clean schema. Every field is timestamped so you can see how current each value is.
The snapshot refreshes every trading day with the latest end-of-day prices and nightly fundamental KPIs. Every order delivers the latest snapshot at purchase time, and every value is timestamped so you can see exactly how current it is.
One-time purchases — pay once, download once. After your initial purchase you can buy a fresh snapshot of the same slice for a flat $30 whenever you want — no subscription required.
Every order comes with a refresh link in your receipt. Click it any time — a week later, a year later — and the same slice (same scope, same fields, same format) regenerates against the latest data for a flat $30. No re-configuration, no re-checkout flow.
Pick CSV, Parquet or NDJSON at checkout. Each delivery includes a schema.json and a sample query bundle for DuckDB and pandas.
Personal and internal-team use is included. Redistribution, productization, or display in a public app requires a commercial license — contact sales for a quote.
30-day, no-questions-asked refund. If the dataset doesn't match what you expected, reply to the order email and we'll refund within 24 hours.
Yes — every file is structured for AI readability: consistent column names, machine-parseable values, no merged cells or footnotes. Drop the CSV straight into ChatGPT or Claude and ask it to screen, rank or compare. Grab the free AI Screener Kit above for a sample file plus a copy-paste prompt pack.
Identifiers, company profile and performance are complete across the universe. Fundamentals — revenue, margins, valuation ratios — and some technical/volume signals depend on each company's filings and trading history, so coverage is highest for US and European large- and mid-caps and thins for smaller international names; valuation ratios like trailing P/E are currently populated for roughly 35–42% of tickers (the full per-field picture is on the data dictionary page). The live preview above shows real rows, gaps and all, so you can see the shape of the data before you buy.
FullStockData is an independent data product. We build and run the ETL pipelines ourselves — aggregating and normalizing end-of-day market data across 23 exchanges into one clean, ready-to-load schema. Support is handled directly: email [email protected] and a real person replies, usually within one business day.
Your purchase covers any internal use inside your organization — analysis, backtesting, model training and reporting. It does not cover redistributing the raw data, reselling it, or displaying it in a public-facing product; that needs a commercial license. Email us and we'll sort one out.
Start in 60 seconds
Your dataset is four clicks away.
Pick a scope, pick your fields, pick a format, pay. We email the file before you've made coffee.