alpha-vantage
Alpha Vantage provides access to real-time and historical financial market data including stock prices, forex rates, cryptocurrency values, commodities, company fundamentals, and 50+ technical indicators through a single API. Use this skill when retrieving equity OHLCV data, calculating technical indicators like RSI or MACD, fetching economic indicators such as GDP or CPI, analyzing company financial statements, or monitoring commodity and cryptocurrency prices.
git clone --depth 1 https://github.com/foryourhealth111-pixel/Vibe-Skills /tmp/alpha-vantage && cp -r /tmp/alpha-vantage/bundled/skills/alpha-vantage ~/.claude/skills/alpha-vantageSKILL.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
export ALPHAVANTAGE_API_KEY="your_key_here"
```
## 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
| Category | Key Functions |
|----------|--------------|
| **Time Series (Stocks)** | GLOBAL_QUOTE, TIME_SERIES_INTRADAY, TIME_SERIES_DAILY, TIME_SERIES_WEEKLY, TIME_SERIES_MONTHLY |
| **Options** | REALTIME_OPTIONS, HISTORICAL_OPTIONS |
| **Alpha Intelligence** | NEWS_SENTIMENT, EARNINGS_CALL_TRANSCRIPT, TOP_GAINERS_LOSERS, INSIDER_TRANSACTIONS, ANALYTICS_FIXED_WINDOW |
| **Fundamentals** | OVERVIEW, ETF_PROFILE, INCOME_STATEMENT, BALANCE_SHEET, CASH_FLOW, EARNINGS, DIVIDENDS, SPLITS |
| **Forex (FX)** | CURRENCY_EXCHANGE_RATE, FX_INTRADAY, FX_DAILY, FX_WEEKLY, FX_MONTHLY |
| **Crypto** | CURRENCY_EXCHANGE_RATE, CRYPTO_INTRADAY, DIGITAL_CURRENCY_DAILY |
| **Commodities** | GOLD (WTI spot), BRENT, NATURAL_GAS, COPPER, WHEAT, CORN, COFFEE, ALL_COMMODITIES |
| **Economic Indicators** | REAL_GDP, TREASURY_YIELD, FEDERAL_FUNDS_RATE, CPI, INFLATION, UNEMPLOYMENT, NONFARM_PAYROLL |
| **Technical Indicators** | SMA, EMA, MACD, RSI, BBANDS, STOCH, ADX, ATR, OBV, VWAP, and 40+ more |
## Common Parameters
| Parameter | Values | Notes |
|-----------|--------|-------|
| `outputsize` | `compact` / `full` | compact = last 100 points; full = 20+ years |
| `datatype` | `json` / `csv` | Default: json |
| `interval` | `1min`, `5min`, `15min`, `30min`, `60min`, `daily`, `weekly`, `monthly` | Depends on endpoint |
| `adjusted` | `true` / `false` | Adjust 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']}")
```
## Reference Files
Load these for detailed endpoint documentation:
- **[time-series.md](references/time-series.md)** — Stock OHLCV data, quotes, bulk quotes, market status
- **[fundamentals.md](references/fundamentals.md)** — Company overview, financial statements, earnings, dividends, splits
- **[options.md](references/options.md)** — Realtime and historical options chain data
- **[intelligence.md](references/intelligence.md)** — News/sentiment, earnings transcripts, insider transactions, analytics
- **[forex-crypto.md](references/forex-crypto.md)** — Forex exchange rates and cryptocurrency prices
- **[commodities.md](references/commodities.md)** — Gold, silver, oil, natural gas, agricultural commodities
- **[economic-indicators.md](references/economic-indicators.md)** — GDP, CPI, interest rates, employment data
- **[technical-indicators.md](references/technical-indicators.md)** — 50+ technical analysis indicators (SMA, EMA, MACD, RSI, etc.)Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
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