francostino/opencode-skills-collection/alpha-vantage

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Access 20+ years of global financial data: equities, options, forex, crypto, commodities, economic indicators, and 50+ technical indicators.

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npx vskill@latest install francostino/opencode-skills-collection/alpha-vantage

SKILL.md

Alpha Vantage — Financial Market Data

Access 20+ years of global financial data: equities, options, forex, crypto, commodities, economic indicators, and 50+ technical indicators.

API Key Setup (Required)

  1. Get a free key at https://www.alphavantage.co/support/#api-key (premium plans available for higher rate limits)
  2. Set as environment variable:
bash
read -rsp "Alpha Vantage API key: " ALPHAVANTAGE_API_KEY
echo
export ALPHAVANTAGE_API_KEY

Installation

bash
uv pip install requests pandas

Base URL & Request Pattern

All requests go to:

https://www.alphavantage.co/query?function=FUNCTION_NAME&apikey=YOUR_KEY&...params
python
import requests
import os
API_KEY = os.environ.get("ALPHAVANTAGE_API_KEY")
BASE_URL = "https://www.alphavantage.co/query"
def av_get(function, **params):
response = requests.get(BASE_URL, params={"function": function, "apikey": API_KEY, **params})
return response.json()

Quick Start Examples

python
# Stock quote (latest price)
quote = av_get("GLOBAL_QUOTE", symbol="AAPL")
price = quote["Global Quote"]["05. price"]
# Daily OHLCV
daily = av_get("TIME_SERIES_DAILY", symbol="AAPL", outputsize="compact")
ts = daily["Time Series (Daily)"]
# Company fundamentals
overview = av_get("OVERVIEW", symbol="AAPL")
print(overview["MarketCapitalization"], overview["PERatio"])
# Income statement
income = av_get("INCOME_STATEMENT", symbol="AAPL")
annual = income["annualReports"][0] # Most recent annual
# Crypto price
crypto = av_get("DIGITAL_CURRENCY_DAILY", symbol="BTC", market="USD")
# Economic indicator
gdp = av_get("REAL_GDP", interval="annual")
# Technical indicator
rsi = av_get("RSI", symbol="AAPL", interval="daily", time_period=14, series_type="close")

API Categories

CategoryKey Functions
Time Series (Stocks)GLOBAL_QUOTE, TIME_SERIES_INTRADAY, TIME_SERIES_DAILY, TIME_SERIES_WEEKLY, TIME_SERIES_MONTHLY
OptionsREALTIME_OPTIONS, HISTORICAL_OPTIONS
Alpha IntelligenceNEWS_SENTIMENT, EARNINGS_CALL_TRANSCRIPT, TOP_GAINERS_LOSERS, INSIDER_TRANSACTIONS, ANALYTICS_FIXED_WINDOW
FundamentalsOVERVIEW, ETF_PROFILE, INCOME_STATEMENT, BALANCE_SHEET, CASH_FLOW, EARNINGS, DIVIDENDS, SPLITS
Forex (FX)CURRENCY_EXCHANGE_RATE, FX_INTRADAY, FX_DAILY, FX_WEEKLY, FX_MONTHLY
CryptoCURRENCY_EXCHANGE_RATE, CRYPTO_INTRADAY, DIGITAL_CURRENCY_DAILY
CommoditiesGOLD (WTI spot), BRENT, NATURAL_GAS, COPPER, WHEAT, CORN, COFFEE, ALL_COMMODITIES
Economic IndicatorsREAL_GDP, TREASURY_YIELD, FEDERAL_FUNDS_RATE, CPI, INFLATION, UNEMPLOYMENT, NONFARM_PAYROLL
Technical IndicatorsSMA, EMA, MACD, RSI, BBANDS, STOCH, ADX, ATR, OBV, VWAP, and 40+ more

Common Parameters

ParameterValuesNotes
outputsizecompact / fullcompact = last 100 points; full = 20+ years
datatypejson / csvDefault: json
interval1min, 5min, 15min, 30min, 60min, daily, weekly, monthlyDepends on endpoint
adjustedtrue / falseAdjust for splits/dividends

Rate Limits

  • Free tier: 25 requests/day (as of 2026)
  • Premium plans: higher limits, real-time data, intraday access
  • HTTP 429 = rate limit exceeded
  • Add delays between requests when processing multiple symbols
python
import time
# Add delay to avoid rate limits
time.sleep(0.5) # 0.5s between requests on free tier

Error Handling

python
data = av_get("GLOBAL_QUOTE", symbol="AAPL")
# Check for API errors
if "Error Message" in data:
raise ValueError(f"API Error: {data['Error Message']}")
if "Note" in data:
print(f"Rate limit warning: {data['Note']}")
if "Information" in data:
print(f"API info: {data['Information']}")

When to Use

Use this skill when tackling tasks related to its primary domain or functionality as described above.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

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