Alterlab alpha vantage
Skill AlterLab-IEU/AlterLab-Academic-Skills/skills/finance-economics/alterlab-alpha-vantage
Accesses real-time and historical stock market data, forex rates, cryptocurrency prices, commodities, economic indicators, and 50+ technical indicators via the Alpha Vantage API (requires a free API key from alphavantage.co). Use when fetching stock prices (OHLCV), company fundamentals (income statement, balance sheet, cash flow), earnings, options data, market news/sentiment, insider transactions, GDP, CPI, treasury yields, gold/silver/oil prices, Bitcoin/crypto prices, forex exchange rates, or calculating technical indicators (SMA, EMA, MACD, RSI, Bollinger Bands). Part of the AlterLab Academic Skills suite.From its SKILL.md
npx -y skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-alpha-vantageAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its file declares
Copied from the file, not written here
The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
5.6 KB, ~1.3k tokens by cl100k_base, as published. Nobody here has run it
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)
- Get a free key at https://www.alphavantage.co/support/#api-key (premium plans available for higher rate limits)
- Set as environment variable:
export ALPHAVANTAGE_API_KEY="your_key_here"
Installation
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
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
# 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 | WTI, BRENT, NATURAL_GAS, COPPER, ALUMINUM, WHEAT, CORN, COTTON, SUGAR, COFFEE, GOLD_SILVER_SPOT, GOLD_SILVER_HISTORY, 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
import time
# Add delay to avoid rate limits
time.sleep(0.5) # 0.5s between requests on free tier
Error Handling
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 — Stock OHLCV data, quotes, bulk quotes, market status
- fundamentals.md — Company overview, financial statements, earnings, dividends, splits
- options.md — Realtime and historical options chain data
- intelligence.md — News/sentiment, earnings transcripts, insider transactions, analytics
- forex-crypto.md — Forex exchange rates and cryptocurrency prices
- commodities.md — Gold, silver, oil, natural gas, agricultural commodities
- economic-indicators.md — GDP, CPI, interest rates, employment data
- technical-indicators.md — 50+ technical analysis indicators (SMA, EMA, MACD, RSI, etc.)
What ships with it: 9 files
48.8 KB alongside SKILL.md
evals/
- evals.json6.0 KB
references/
- commodities.md3.7 KB
- economic-indicators.md3.8 KB
- forex-crypto.md4.1 KB
- fundamentals.md7.3 KB
- intelligence.md4.8 KB
- options.md2.7 KB
- technical-indicators.md12.1 KB
- time-series.md4.3 KB
Gives 0 of the 12 instructions most finance skills give in ~1.3k tokens
Counted across 469 of the 469 authors here whose files we hold, read 2026-08-07
- Extract date vendor amount and descriptionin 15 of 469, across 3 files
- Scan folder for invoice filesin 14 of 469, across 2 files
- Rename files to standard formatin 14 of 469, across 2 files
- Show organization plan before movingin 14 of 469, across 2 files
- Generate summary CSVin 14 of 469, across 2 files
- Organize files by categoryin 13 of 469, across 1 file
- Preserve original filesin 13 of 469, across 1 file
- Flag files missing critical infoin 13 of 469, across 1 file
- Produce the requested output filein 9 of 469, across 4 files
- Build best, base, and worst case scenariosin 9 of 469, across 5 files
- Implement backoff if rate limit errors occurin 8 of 469, across 3 files
- Determine the weighted average cost of capitalin 8 of 469, across 4 files
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.