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FinnHub financial data API integration for stocks, forex, crypto, news, and fundamentals. Use when fetching real-time quotes, company profiles, financial statements, insider trading, earnings calendars, or market news.
npx skill4agent add adaptationio/skrillz finnhub-api# Environment variable (recommended)
export FINNHUB_API_KEY="your_api_key"
# Or in .env file
FINNHUB_API_KEY=your_api_keyimport 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}%)")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")| Endpoint | Description | Free |
|---|---|---|
| Real-time quote | ✅ |
| Historical OHLCV | ✅ |
| Company profile | ✅ |
| Similar companies | ✅ |
| Company news | ✅ |
| Basic financials | ✅ |
| Financial statements | ✅ |
| Insider trades | ⚠️ Premium |
| Insider sentiment | ⚠️ Premium |
| Endpoint | Description | Free |
|---|---|---|
| SEC reported | ✅ |
| Earnings history | ✅ |
| Analyst ratings | ✅ |
| Price targets | ✅ |
| Revenue estimates | ⚠️ Premium |
| EPS estimates | ⚠️ Premium |
| Endpoint | Description | Free |
|---|---|---|
| Exchange rates | ✅ |
| Forex OHLCV | ✅ |
| Crypto OHLCV | ✅ |
| Crypto exchanges | ✅ |
| Crypto symbols | ✅ |
| Endpoint | Description | Free |
|---|---|---|
| Company news | ✅ |
| Market news | ✅ |
| Press releases | ⚠️ Premium |
| News sentiment | ⚠️ Premium |
| Endpoint | Description | Free |
|---|---|---|
| Earnings calendar | ✅ |
| IPO calendar | ✅ |
| Dividend history | ✅ |
| Stock splits | ✅ |
| Tier | Calls/Minute | Notes |
|---|---|---|
| Free | 60 | US stocks, forex, crypto |
| Paid | 300+ | Per-market pricing |
X-Ratelimit-LimitX-Ratelimit-RemainingX-Ratelimit-Resetdef 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")
}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()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")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()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")
}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()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 {}# Python SDK
pip install finnhub-python
# JavaScript SDK
npm install finnhubtwelvedata-apialphavantage-apifmp-api