finnhub-api

FinnHub API Integration

Complete integration with FinnHub's financial data API providing access to stocks, forex, crypto, company fundamentals, news, and real-time market data.

Quick Start

Authentication

# Environment variable (recommended)
export FINNHUB_API_KEY="your_api_key"

# Or in .env file
FINNHUB_API_KEY=your_api_key

Basic Usage (Python)

import requests
import os

API_KEY = os.getenv("FINNHUB_API_KEY")
BASE_URL = "https://finnhub.io/api/v1"

def get_quote(symbol: str) -> dict:
    """Get real-time quote for a symbol."""
    response = requests.get(
        f"{BASE_URL}/quote",
        params={"symbol": symbol, "token": API_KEY}
    )
    return response.json()

# Example
quote = get_quote("AAPL")
print(f"AAPL: ${quote['c']:.2f} ({quote['dp']:+.2f}%)")

Using Official SDK

import finnhub

client = finnhub.Client(api_key="your_api_key")

# Get quote
quote = client.quote("AAPL")

# Get company profile
profile = client.company_profile2(symbol="AAPL")

# Get financials
financials = client.company_basic_financials("AAPL", "all")

API Endpoints Reference

Stock Market Data

Endpoint	Description	Free
/quote	Real-time quote	✅
/stock/candle	Historical OHLCV	✅
/stock/profile2	Company profile	✅
/stock/peers	Similar companies	✅
/company-news	Company news	✅
/stock/metric	Basic financials	✅
/stock/financials	Financial statements	✅
/stock/insider-transactions	Insider trades	⚠️ Premium
/stock/insider-sentiment	Insider sentiment	⚠️ Premium

Fundamental Data

Endpoint	Description	Free
/stock/financials-reported	SEC reported	✅
/stock/earnings	Earnings history	✅
/stock/recommendation	Analyst ratings	✅
/stock/price-target	Price targets	✅
/stock/revenue-estimate	Revenue estimates	⚠️ Premium
/stock/eps-estimate	EPS estimates	⚠️ Premium

Forex & Crypto

Endpoint	Description	Free
/forex/rates	Exchange rates	✅
/forex/candle	Forex OHLCV	✅
/crypto/candle	Crypto OHLCV	✅
/crypto/exchanges	Crypto exchanges	✅
/crypto/symbol	Crypto symbols	✅

News & Sentiment

Endpoint	Description	Free
/company-news	Company news	✅
/news	Market news	✅
/press-releases	Press releases	⚠️ Premium
/news-sentiment	News sentiment	⚠️ Premium

Calendar Events

Endpoint	Description	Free
/calendar/earnings	Earnings calendar	✅
/calendar/ipo	IPO calendar	✅
/stock/dividends	Dividend history	✅
/stock/splits	Stock splits	✅

Rate Limits

Tier	Calls/Minute	Notes
Free	60	US stocks, forex, crypto
Paid	300+	Per-market pricing

Rate limit headers:

• X-Ratelimit-Limit: Max calls per minute
• X-Ratelimit-Remaining: Calls remaining
• X-Ratelimit-Reset: Reset timestamp

Common Tasks

Task: Get Stock Quote with Change

def get_stock_info(symbol: str) -> dict:
    """Get comprehensive stock info."""
    quote = requests.get(
        f"{BASE_URL}/quote",
        params={"symbol": symbol, "token": API_KEY}
    ).json()

    profile = requests.get(
        f"{BASE_URL}/stock/profile2",
        params={"symbol": symbol, "token": API_KEY}
    ).json()

    return {
        "symbol": symbol,
        "name": profile.get("name"),
        "price": quote["c"],
        "change": quote["d"],
        "change_percent": quote["dp"],
        "high": quote["h"],
        "low": quote["l"],
        "market_cap": profile.get("marketCapitalization"),
        "industry": profile.get("finnhubIndustry")
    }

Task: Get Historical Candles

import time

def get_candles(symbol: str, resolution: str = "D", days: int = 30) -> dict:
    """
    Get historical OHLCV data.

    Resolutions: 1, 5, 15, 30, 60, D, W, M
    """
    end = int(time.time())
    start = end - (days * 24 * 60 * 60)

    response = requests.get(
        f"{BASE_URL}/stock/candle",
        params={
            "symbol": symbol,
            "resolution": resolution,
            "from": start,
            "to": end,
            "token": API_KEY
        }
    )
    return response.json()

Task: Get Earnings Calendar

def get_earnings_calendar(from_date: str, to_date: str) -> list:
    """Get upcoming earnings releases."""
    response = requests.get(
        f"{BASE_URL}/calendar/earnings",
        params={
            "from": from_date,
            "to": to_date,
            "token": API_KEY
        }
    )
    return response.json().get("earningsCalendar", [])

# Example: Get next week's earnings
earnings = get_earnings_calendar("2025-12-05", "2025-12-12")

Task: Get Company News

def get_company_news(symbol: str, days: int = 7) -> list:
    """Get recent company news."""
    from datetime import datetime, timedelta

    end = datetime.now()
    start = end - timedelta(days=days)

    response = requests.get(
        f"{BASE_URL}/company-news",
        params={
            "symbol": symbol,
            "from": start.strftime("%Y-%m-%d"),
            "to": end.strftime("%Y-%m-%d"),
            "token": API_KEY
        }
    )
    return response.json()

Task: Get Financial Metrics

def get_financials(symbol: str) -> dict:
    """Get key financial metrics."""
    response = requests.get(
        f"{BASE_URL}/stock/metric",
        params={
            "symbol": symbol,
            "metric": "all",
            "token": API_KEY
        }
    )
    data = response.json()

    metrics = data.get("metric", {})
    return {
        "pe_ratio": metrics.get("peBasicExclExtraTTM"),
        "pb_ratio": metrics.get("pbQuarterly"),
        "ps_ratio": metrics.get("psAnnual"),
        "roe": metrics.get("roeTTM"),
        "roa": metrics.get("roaTTM"),
        "debt_equity": metrics.get("totalDebt/totalEquityQuarterly"),
        "current_ratio": metrics.get("currentRatioQuarterly"),
        "gross_margin": metrics.get("grossMarginTTM"),
        "operating_margin": metrics.get("operatingMarginTTM"),
        "52w_high": metrics.get("52WeekHigh"),
        "52w_low": metrics.get("52WeekLow"),
        "beta": metrics.get("beta")
    }

WebSocket Real-Time Data

import websocket
import json

def on_message(ws, message):
    data = json.loads(message)
    if data["type"] == "trade":
        for trade in data["data"]:
            print(f"{trade['s']}: ${trade['p']:.2f} x {trade['v']}")

def on_open(ws):
    # Subscribe to symbols
    ws.send(json.dumps({"type": "subscribe", "symbol": "AAPL"}))
    ws.send(json.dumps({"type": "subscribe", "symbol": "MSFT"}))

ws = websocket.WebSocketApp(
    f"wss://ws.finnhub.io?token={API_KEY}",
    on_message=on_message,
    on_open=on_open
)
ws.run_forever()

Error Handling

def safe_api_call(endpoint: str, params: dict) -> dict:
    """Make API call with error handling."""
    params["token"] = API_KEY

    try:
        response = requests.get(f"{BASE_URL}/{endpoint}", params=params)
        response.raise_for_status()

        # Check for rate limit
        remaining = response.headers.get("X-Ratelimit-Remaining")
        if remaining and int(remaining) < 5:
            print(f"Warning: Only {remaining} API calls remaining")

        return response.json()

    except requests.exceptions.HTTPError as e:
        if response.status_code == 429:
            print("Rate limit exceeded. Waiting 60 seconds...")
            time.sleep(60)
            return safe_api_call(endpoint, params)
        raise
    except Exception as e:
        print(f"API error: {e}")
        return {}

Free vs Premium Features

Free Tier Includes

• Real-time US stock quotes
• Historical data (1 year)
• Company profiles & peers
• Basic financials & metrics
• Earnings calendar
• Company news
• Forex & crypto data
• WebSocket (US stocks, forex, crypto)

Premium Required

• Insider transactions & sentiment
• SEC filings
• ESG scores
• Patent data
• Congressional trading
• International markets
• Revenue/EPS estimates
• Lobbying data
• Extended historical data

Best Practices

1. Cache static data - Company profiles, metrics rarely change
2. Use WebSocket - For real-time quotes instead of polling
3. Batch where possible - Reduce API calls
4. Handle rate limits - Implement exponential backoff
5. Store API key securely - Use environment variables

Installation

# Python SDK
pip install finnhub-python

# JavaScript SDK
npm install finnhub

Related Skills

• twelvedata-api - Alternative market data source
• alphavantage-api - Technical indicators focus
• fmp-api - Fundamental analysis focus

References

• Official Documentation
• Python SDK
• Pricing