ibrdot/swe-re-expert/alpha-vantage

read -rsp "Alpha Vantage API key: " ALPHAVANTAGE_API_KEY
echo
export ALPHAVANTAGE_API_KEY

uv pip install requests pandas

https://www.alphavantage.co/query?function=FUNCTION_NAME&apikey=YOUR_KEY&...params

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()

# 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")

import time
# Add delay to avoid rate limits
time.sleep(0.5)  # 0.5s between requests on free tier

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']}")