If you\u2019ve ever tried to build a serious financial product, screener, dashboard, or data pipeline, you already know the uncomfortable truth:<\/p>\n
Getting financial data is easy. Most projects start the same\u00a0way:<\/p>\n \u201cLet\u2019s pull data from Yahoo Finance.\u201d\u201cThis API is free, good enough for\u00a0now.\u201d\u201cWe\u2019ll fix it\u00a0later.\u201d<\/p>\n Then reality\u00a0hits:<\/p>\n Endpoints break without\u00a0warningScrapers get\u00a0blockedETFs have no\u00a0holdingsIndices have no historical constituentsCrypto has prices but zero\u00a0context<\/p>\n At that point, the problem is no longer technical. That\u2019s why choosing the right Fundamental Data API<\/strong>\u00a0matters.<\/p>\n A Fundamental Data API<\/strong> provides structured, long-term financial information about assets, not just\u00a0prices.<\/p>\n Unlike market data APIs (OHLC, ticks, volume), fundamental data answers deeper questions:<\/p>\n What does this company actually\u00a0do?How does it make\u00a0money?What is inside this\u00a0ETF?Which companies were in this index in the\u00a0past?What is the real structure behind a crypto\u00a0project?<\/p>\n Company profile (sector, industry, country)Financial statements (Income, Balance Sheet, Cash\u00a0Flow)Valuation ratios (P\/E, margins, ROE,\u00a0ROA)Dividends and\u00a0splitsMarket capitalization and key\u00a0metrics<\/p>\n ETF metadata (issuer, category, AUM)Holdings and\u00a0weightsSector and geographic exposure<\/p>\n Fund profile and\u00a0strategyAssets under managementFinancial history<\/p>\n ConstituentsWeightsHistorical changes (critical for backtesting)<\/p>\n Project metadataSupply and market capitalizationOfficial links (website, GitHub, whitepaper)Ecosystem statistics<\/p>\n Derived data is what you build on top<\/strong> of fundamentals.<\/p>\n Examples:<\/p>\n Fundamental scoring\u00a0modelsCompany or ETF\u00a0rankingsQuality or value\u00a0factorsSector or exposure\u00a0analysis<\/p>\n Derived data is only as good as the raw fundamental data behind it.<\/strong> \u274c No official\u00a0API\u274c Frequent HTML\u00a0changes\u274c Blocking and rate\u00a0limits\u274c Not suitable for commercial products<\/p>\n \u274c Built for order execution\u274c Limited or missing fundamentals\u274c Poor ETF, index, and global\u00a0coverage<\/p>\n \u2705 Easy to\u00a0start\u274c Strict rate\u00a0limits\u274c Limited ETF and index\u00a0depth\u274c Difficult to scale for real\u00a0products<\/p>\n These tools work for experiments<\/strong>, not for\u00a0systems<\/strong>.<\/p>\n This is an architectural decision, not a feature checklist.<\/p>\n Single fundamental endpoint<\/strong> for multiple asset\u00a0classesGlobal market coverage<\/strong>, not\u00a0US-onlyConsistent JSON structure<\/strong>, ideal for normalizationNative crypto fundamentals<\/strong> via a virtual exchange\u00a0(.CC)Designed for data products, ETL, and\u00a0SaaS<\/strong><\/p>\n EODHD APIs <\/strong><\/a>scale from scripts to full platforms without changing your data\u00a0model.<\/p>\n GET https:\/\/eodhd.com\/api\/fundamentals\/{SYMBOL}?api_token=YOUR_API_KEY&fmt=json<\/p>\n Symbol examples:<\/p>\n Stock: AAPL.USETF: SPY.USMutual fund:\u00a0SWPPX.USCrypto: BTC-USD.CC<\/p>\n import requests stock = get_fundamentals(“AAPL.US”) Use cases<\/strong><\/p>\n Stock screenersValuation modelsFundamental scoring\u00a0systems<\/p>\n ETFs require look-through analysis<\/strong>, not just price tracking.<\/p>\n etf = get_fundamentals(“SPY.US”) Use cases<\/strong><\/p>\n Portfolio exposure\u00a0analysisBacktesting without hidden\u00a0biasWealth and advisory platforms<\/p>\n fund = get_fundamentals(“SWPPX.US”) Use cases<\/strong><\/p>\n Fund comparison toolsAutomated reportingWealth management dashboards<\/p>\n Indices are not just\u00a0numbers.<\/p>\n Correct index analysis requires:<\/p>\n ConstituentsWeightsHistorical changes<\/p>\n Using current constituents for past analysis introduces look-ahead bias<\/strong>.<\/p>\n Pull index constituents (current or historical)Enrich each component with fundamentalsCompute derived\u00a0metrics<\/p>\n This is essential for:<\/p>\n Quant modelsFactor researchLong-term backtesting<\/p>\n Crypto fundamentals are project-level<\/strong>, not just price-based.<\/p>\n btc = get_fundamentals(“BTC-USD.CC”) Use cases<\/strong><\/p>\n Crypto research dashboardsProject comparison toolsHybrid equity + crypto platforms<\/p>\n Typical integrations:<\/p>\n ETL \u2192 PostgreSQL, BigQueryAutomation \u2192 n8n,\u00a0AirflowDashboards \u2192 Streamlit, MetabaseReporting \u2192 Google Sheets,\u00a0Notion<\/p>\n Fetch fundamentalsCache by symbol (daily or\u00a0weekly)Normalize only required\u00a0fieldsCompute derived\u00a0metricsServe data to applications<\/p>\n Stable and structured dataMulti-asset supportScales to productionIdeal for derived analytics<\/p>\n Requires data\u00a0modelingNot a copy-paste shortcut<\/p>\n That\u2019s a feature<\/strong>, not a drawback.<\/p>\n Economic and structural information about an asset, not its\u00a0price.<\/p>\n Metrics or scores calculated from raw fundamental data.<\/p>\n Yes. That\u2019s one of the main strengths of EODHD\u00a0APIs.<\/p>\n Stocks: quarterlyETFs and funds:\u00a0monthlyCrypto: more frequently<\/p>\n Yes, when sourced from an official and stable\u00a0API.<\/p>\n If you\u2019re looking for a Fundamental Data API<\/strong> that lets\u00a0you:<\/p>\n Extract stock, ETF, mutual fund, index, and crypto\u00a0databuild reliable derived financial data<\/strong>scale from scripts to real\u00a0products<\/p>\n Then EODHD APIs<\/strong> provide a clean and professional foundation.<\/p>\n Access the EODHD F<\/strong>undamental Data API with a discount<\/a>:<\/p>\n Fundamental Data API: How to Extract Stock, ETF, Index, Mutual Fund, and Crypto Data (Step-by-Step\u2026<\/a> was originally published in Coinmonks<\/a> on Medium, where people are continuing the conversation by highlighting and responding to this story.<\/p>","protected":false},"excerpt":{"rendered":" Fundamental Data API: How to Extract Stock, ETF, Index, Mutual Fund, and Crypto Data (Step-by-Step Guide) If you\u2019ve ever tried to build a serious financial product, screener, dashboard, or data pipeline, you already know the uncomfortable truth: Getting financial data is easy. Getting reliable fundamental data is\u00a0not. Most projects start the same\u00a0way: \u201cLet\u2019s pull data […]<\/p>\n","protected":false},"author":0,"featured_media":127599,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[],"class_list":["post-127598","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-interesting"],"_links":{"self":[{"href":"https:\/\/mycryptomania.com\/index.php?rest_route=\/wp\/v2\/posts\/127598"}],"collection":[{"href":"https:\/\/mycryptomania.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mycryptomania.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/mycryptomania.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=127598"}],"version-history":[{"count":0,"href":"https:\/\/mycryptomania.com\/index.php?rest_route=\/wp\/v2\/posts\/127598\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mycryptomania.com\/index.php?rest_route=\/wp\/v2\/media\/127599"}],"wp:attachment":[{"href":"https:\/\/mycryptomania.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=127598"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mycryptomania.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=127598"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mycryptomania.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=127598"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
Getting reliable fundamental data is\u00a0not.<\/strong><\/p>\n
It\u2019s architectural<\/strong>.<\/p>\nWhat Is a Fundamental Data\u00a0API?<\/h3>\n
What Counts as Fundamental Data?<\/h3>\n
Stocks<\/h3>\n
ETFs<\/h3>\n
Mutual Funds<\/h3>\n
Indices<\/h3>\n
Crypto<\/h3>\n
What Is Derived Fundamental Data?<\/h3>\n
If the base data is inconsistent, your models will be\u00a0too.<\/p>\nWhy Popular Solutions Fail at Fundamental Data<\/h3>\n
Yahoo Finance (scraping)<\/h4>\n
Trading-focused APIs (brokers)<\/h4>\n
Alpha Vantage<\/h4>\n
Why Choose EODHD APIs for Fundamental Data<\/h3>\n
Key Advantages<\/h4>\n
Fundamental Data API Endpoint (Core\u00a0Concept)<\/h3>\n
Python Setup (Reusable)<\/h3>\n
import os
API_KEY = os.getenv(“EODHD_TOKEN”)
BASE_URL = “https:\/\/eodhd.com\/api”
def get_fundamentals(symbol):
url = f”{BASE_URL}\/fundamentals\/{symbol}”
r = requests.get(url, params={
“api_token”: API_KEY,
“fmt”: “json”
})
r.raise_for_status()
return r.json()<\/p>\nHow to Extract Stock Fundamental Data Using an\u00a0API<\/h3>\n
print(stock[“General”][“Name”])
print(stock[“Highlights”][“MarketCapitalization”])
print(stock[“Valuation”][“TrailingPE”])<\/p>\nHow to Extract ETF Data Using an\u00a0API<\/h3>\n
print(etf[“General”][“Name”])
print(etf[“ETF_Data”][“Holdings”].keys())<\/p>\nHow to Extract Mutual Fund Data Using an\u00a0API<\/h3>\n
print(fund[“General”][“Name”])<\/p>\nHow to Extract Index Data Using an\u00a0API<\/h3>\n
Recommended workflow<\/h3>\n
How to Extract Crypto Fundamental Data Using an\u00a0API<\/h3>\n
print(btc[“General”][“Name”])
print(btc[“Statistics”][“MarketCapitalization”])
print(btc[“Resources”][“Links”][“source_code”])<\/p>\nHow to Integrate Fundamental Data Into Real\u00a0Systems<\/h3>\n
Recommended architecture<\/h3>\n
Pros and Cons of a Professional Fundamental Data\u00a0API<\/h3>\n
Pros<\/h4>\n
Cons<\/h4>\n
FAQs\u200a\u2014\u200aFundamental Data\u00a0APIs<\/h3>\n
What is fundamental data?<\/h4>\n
What is derived fundamental data?<\/h4>\n
Can I combine stocks, ETFs, indices, and\u00a0crypto?<\/h4>\n
How often should I update fundamental data?<\/h4>\n
Is fundamental data suitable for SaaS products?<\/h4>\n