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name: twelvedata version: 1.0.0 description: Stocks and forex price data, time series, quotes, and reference data tools:

• twelvedata_time_series
• twelvedata_price
• twelvedata_eod
• twelvedata_quote
• twelvedata_quote_batch
• twelvedata_price_batch
• twelvedata_search
• twelvedata_stocks
• twelvedata_forex_pairs
• twelvedata_exchanges

metadata: starchild: emoji: "📊" skillKey: twelvedata requires: env: - TWELVEDATA_API_KEY

user-invocable: false disable-model-invocation: false

Twelve Data

Twelve Data provides stocks and forex market data including real-time quotes, historical time series, and reference data. Use for traditional markets (stocks, forex) instead of crypto.

When to Use Twelve Data

Use Twelve Data for:

• Stock prices - Real-time and historical stock quotes
• Forex prices - Currency pair quotes and time series
• Time series data - OHLCV historical data
• Reference data - Stock lists, forex pairs, exchanges
• Search - Find stock symbols and company names

Important: Use Twelve Data for stocks and forex only. For crypto, use CoinGecko.

Common Workflows

Get Stock Price

twelvedata_quote(symbol="AAPL")  # Apple real-time quote
twelvedata_price(symbol="MSFT")  # Microsoft current price
twelvedata_quote(symbol="TSLA")  # Tesla quote with full details

Get Forex Price

twelvedata_quote(symbol="EUR/USD")  # Euro to USD
twelvedata_quote(symbol="GBP/JPY")  # British Pound to Japanese Yen

Historical Data

twelvedata_time_series(symbol="AAPL", interval="1day", outputsize="compact")  # Last 30 days
twelvedata_time_series(symbol="MSFT", interval="1h", outputsize="full")  # 5000 hourly candles
twelvedata_eod(symbol="GOOGL")  # End of day price

Batch Queries (Efficient)

twelvedata_quote_batch(symbols=["AAPL", "MSFT", "GOOGL", "TSLA"])  # Up to 120 symbols
twelvedata_price_batch(symbols=["AAPL", "MSFT"])  # Just prices

Search for Symbols

twelvedata_search(query="Apple")  # Find AAPL
twelvedata_search(query="Microsoft")  # Find MSFT
twelvedata_search(query="EUR")  # Find EUR forex pairs

Reference Data

twelvedata_stocks(exchange="NASDAQ")  # All NASDAQ stocks
twelvedata_forex_pairs()  # All forex pairs
twelvedata_exchanges(type="stock")  # All stock exchanges

Symbol Format

Stocks

Use standard ticker symbols:

• AAPL - Apple
• MSFT - Microsoft
• TSLA - Tesla
• GOOGL - Google
• AMZN - Amazon

Forex Pairs

Use slash format:

• EUR/USD - Euro to US Dollar
• GBP/JPY - British Pound to Japanese Yen
• USD/CHF - US Dollar to Swiss Franc

Intervals

Intraday

• 1min, 5min, 15min, 30min
• 1h, 2h, 4h, 8h

Daily and Above

• 1day - Daily candles
• 1week - Weekly candles
• 1month - Monthly candles

Output Sizes

• compact - Last 30 data points (default, faster)
• full - Up to 5000 data points (for deep analysis)

Response Fields

Quote Response

• symbol - Ticker symbol
• name - Company/pair name
• price - Current price
• open, high, low, close - OHLC data
• volume - Trading volume
• change - Price change
• percent_change - Percentage change
• timestamp - Last update time

Time Series Response

• datetime - Timestamp
• open, high, low, close - OHLC
• volume - Trading volume

Important Notes

• API Key: Requires TWELVEDATA_API_KEY environment variable (Pro subscription)
• Crypto: DO NOT use Twelve Data for crypto. Use CoinGecko instead.
• Fundamental data: Fundamental data tools (income_statement, balance_sheet, etc.) require Grow/Pro+/Ultra/Enterprise tiers and are not included in this skill
• Rate limits: Be mindful of API rate limits. Use batch endpoints for multiple symbols.
• Real-time: Quotes are near real-time (typically 15-minute delay for free tier, real-time for Pro)

Workflow Examples

Stock Analysis

1. Search for symbol: twelvedata_search(query="Apple")
2. Get current quote: twelvedata_quote(symbol="AAPL")
3. Get historical data: twelvedata_time_series(symbol="AAPL", interval="1day", outputsize="compact")

Forex Analysis

1. Get forex pair: twelvedata_quote(symbol="EUR/USD")
2. Get historical: twelvedata_time_series(symbol="EUR/USD", interval="1h", outputsize="compact")

Portfolio Check

1. Batch quote: twelvedata_quote_batch(symbols=["AAPL", "MSFT", "GOOGL", "TSLA"])
2. Analyze each stock individually if needed

Market Scan

1. List all stocks: twelvedata_stocks(exchange="NASDAQ")
2. Filter and analyze specific symbols