alpacafarmer 0.1.10

A minimal Python wrapper for Alpaca Markets API

🦙 AlpacaFarmer

A modern, async-first Python wrapper for the Alpaca Markets API with full Pydantic v2 validation.

AlpacaFarmer provides a clean, type-safe interface to Alpaca's Trading, Broker, and Market Data APIs with comprehensive validation, async support, and intuitive error handling.

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✨ Features

• 🔄 Async-first design - Built with httpx for high-performance async operations
• 📊 Pydantic v2 validation - All request/response models with strict type checking
• 🎯 Full API coverage - Trader, Broker, and Market Data APIs
• 🔒 Type hints throughout - Complete type annotations for IDE support
• 🌍 Environment-aware - Easy switching between paper and live trading
• ⚠️ Comprehensive error handling - Typed exceptions for all error scenarios
• 🧩 35+ Pydantic models - Complete data models for all API responses
• 🏷️ 18 type-safe enums - No magic strings, full autocomplete support

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📦 Installation

Using pip

pip install alpacafarmer

Using UV (recommended)

uv add alpacafarmer

Development Installation

git clone https://github.com/alpacafarmer/alpacafarmer.git
cd alpacafarmer
uv sync

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🚀 Quick Start

Basic Setup

import asyncio
from alpacafarmer import AlpacaAuth, TraderClient, Environment

async def main():
    # Initialize authentication
    auth = AlpacaAuth(
        api_key="your-api-key",
        api_secret="your-api-secret",
        environment=Environment.PAPER  # Use LIVE for production
    )
    
    # Use the client with async context manager
    async with TraderClient(auth) as client:
        account = await client.get_account()
        print(f"Account ID: {account.id}")
        print(f"Buying Power: ${account.buying_power}")
        print(f"Portfolio Value: ${account.portfolio_value}")

asyncio.run(main())

Using Environment Variables

export ALPACA_API_KEY="your-api-key"
export ALPACA_SECRET_KEY="your-api-secret"

from alpacafarmer import AlpacaAuth, TraderClient

# Credentials loaded automatically from environment
auth = AlpacaAuth()

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📈 TraderClient API

The TraderClient is for individual traders using Alpaca's Trading API.

Getting Account Information

from alpacafarmer import AlpacaAuth, TraderClient

async with TraderClient(AlpacaAuth()) as client:
    # Get account details
    account = await client.get_account()
    
    print(f"Cash: ${account.cash}")
    print(f"Buying Power: ${account.buying_power}")
    print(f"Day Trading BP: ${account.daytrading_buying_power}")
    print(f"Pattern Day Trader: {account.pattern_day_trader}")

Creating Orders

from alpacafarmer import (
    AlpacaAuth, TraderClient, OrderRequest,
    OrderSide, OrderType, TimeInForce
)

async with TraderClient(AlpacaAuth()) as client:
    # Market order
    market_order = await client.create_order(OrderRequest(
        symbol="AAPL",
        qty=10,
        side=OrderSide.BUY,
        type=OrderType.MARKET,
        time_in_force=TimeInForce.DAY
    ))
    print(f"Market Order ID: {market_order.id}")
    
    # Limit order
    limit_order = await client.create_order(OrderRequest(
        symbol="MSFT",
        qty=5,
        side=OrderSide.BUY,
        type=OrderType.LIMIT,
        time_in_force=TimeInForce.GTC,
        limit_price=350.00
    ))
    print(f"Limit Order ID: {limit_order.id}")
    
    # Stop-loss order
    stop_order = await client.create_order(OrderRequest(
        symbol="GOOGL",
        qty=2,
        side=OrderSide.SELL,
        type=OrderType.STOP,
        time_in_force=TimeInForce.GTC,
        stop_price=140.00
    ))
    print(f"Stop Order ID: {stop_order.id}")
    
    # Notional order (dollar amount instead of shares)
    notional_order = await client.create_order(OrderRequest(
        symbol="TSLA",
        notional=1000.00,  # Buy $1000 worth
        side=OrderSide.BUY,
        type=OrderType.MARKET,
        time_in_force=TimeInForce.DAY
    ))

Managing Orders

from alpacafarmer import ListOrdersRequest, OrderUpdate

async with TraderClient(AlpacaAuth()) as client:
    # List open orders
    open_orders = await client.list_orders(ListOrdersRequest(
        status="open",
        limit=100
    ))
    
    # Get specific order
    order = await client.get_order("order-id")
    
    # Replace/modify an order
    updated_order = await client.replace_order(
        order_id="order-id",
        request=OrderUpdate(
            qty=15,
            limit_price=355.00
        )
    )
    
    # Cancel an order
    await client.cancel_order("order-id")
    
    # Cancel all orders
    cancelled = await client.cancel_all_orders()

Managing Positions

from decimal import Decimal

async with TraderClient(AlpacaAuth()) as client:
    # List all positions
    positions = await client.list_positions()
    for pos in positions:
        print(f"{pos.symbol}: {pos.qty} shares @ ${pos.avg_entry_price}")
        print(f"  P/L: ${pos.unrealized_pl} ({pos.unrealized_plpc}%)")
    
    # Get specific position
    aapl_position = await client.get_position("AAPL")
    
    # Close a position completely
    close_order = await client.close_position("AAPL")
    
    # Close partial position (by quantity)
    partial_close = await client.close_position("MSFT", qty=Decimal("5"))
    
    # Close partial position (by percentage)
    half_close = await client.close_position("GOOGL", percentage=Decimal("50"))
    
    # Close all positions
    await client.close_all_positions(cancel_orders=True)

Listing Assets

from alpacafarmer import ListAssetsRequest, AssetClass, AssetStatus

async with TraderClient(AlpacaAuth()) as client:
    # List all tradable US equities
    assets = await client.list_assets(ListAssetsRequest(
        asset_class=AssetClass.US_EQUITY,
        status=AssetStatus.ACTIVE
    ))
    
    # Get specific asset info
    aapl = await client.get_asset("AAPL")
    print(f"Name: {aapl.name}")
    print(f"Tradable: {aapl.tradable}")
    print(f"Fractionable: {aapl.fractionable}")
    print(f"Shortable: {aapl.shortable}")

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🏦 BrokerClient API

The BrokerClient is for broker-dealers managing customer accounts via Alpaca's Broker API.

Creating Customer Accounts

from datetime import datetime, timezone
from alpacafarmer import (
    AlpacaAuth, BrokerClient, Environment,
    CreateAccountRequest, Contact, Identity, Disclosures, Agreement
)

auth = AlpacaAuth(
    api_key="broker-api-key",
    api_secret="broker-api-secret",
    environment=Environment.PAPER  # Uses sandbox for paper
)

async with BrokerClient(auth) as client:
    account = await client.create_account(CreateAccountRequest(
        contact=Contact(
            email_address="[e-mail]",
            phone_number="555-123-4567",
            street_address=["123 Main St"],
            city="New York",
            state="NY",
            postal_code="10001"
        ),
        identity=Identity(
            given_name="John",
            family_name="Doe",
            date_of_birth="1990-01-15",
            tax_id="123-45-6789",
            country_of_citizenship="USA",
            country_of_tax_residence="USA"
        ),
        disclosures=Disclosures(
            is_control_person=False,
            is_affiliated_exchange_or_finra=False,
            is_politically_exposed=False,
            immediate_family_exposed=False
        ),
        agreements=[
            Agreement(
                agreement="customer_agreement",
                signed_at=datetime.now(timezone.utc),
                ip_address="192.168.1.1"
            )
        ]
    ))
    print(f"Created account: {account.id}")

Managing Accounts

from alpacafarmer import ListAccountsRequest

async with BrokerClient(auth) as client:
    # List all accounts
    accounts = await client.list_accounts()
    
    # List with filtering
    recent_accounts = await client.list_accounts(ListAccountsRequest(
        query="john",
        created_after=datetime(2024, 1, 1)
    ))
    
    # Get specific account
    account = await client.get_account("account-id")
    
    # Delete/close account
    await client.delete_account("account-id")

Trading on Behalf of Accounts

from alpacafarmer import OrderRequest, OrderSide, OrderType, TimeInForce

async with BrokerClient(auth) as client:
    # Create order for customer account
    order = await client.create_order(
        account_id="customer-account-id",
        request=OrderRequest(
            symbol="AAPL",
            qty=10,
            side=OrderSide.BUY,
            type=OrderType.MARKET,
            time_in_force=TimeInForce.DAY
        )
    )
    
    # Get orders for account
    orders = await client.get_orders("customer-account-id")
    
    # Cancel order for account
    await client.cancel_order("customer-account-id", "order-id")

Fund Transfers (ACH)

from alpacafarmer import (
    ACHRelationshipRequest, TransferRequest,
    BankAccountType, TransferType, TransferDirection
)

async with BrokerClient(auth) as client:
    # Create ACH relationship
    ach = await client.create_ach_relationship(
        account_id="customer-account-id",
        request=ACHRelationshipRequest(
            account_owner_name="John Doe",
            bank_account_type=BankAccountType.CHECKING,
            bank_account_number="123456789",
            bank_routing_number="021000021",
            nickname="Primary Checking"
        )
    )
    
    # List ACH relationships
    relationships = await client.get_ach_relationships("customer-account-id")
    
    # Create deposit transfer
    transfer = await client.create_transfer(
        account_id="customer-account-id",
        request=TransferRequest(
            transfer_type=TransferType.ACH,
            relationship_id=ach.id,
            amount=1000.00,
            direction=TransferDirection.INCOMING
        )
    )
    
    # Get transfers
    transfers = await client.get_transfers("customer-account-id")

Journal Entries

from alpacafarmer import JournalRequest, JournalEntryType

async with BrokerClient(auth) as client:
    # Cash journal between accounts
    journal = await client.create_journal(JournalRequest(
        from_account="source-account-id",
        to_account="destination-account-id",
        entry_type=JournalEntryType.JNLC,  # Cash journal
        amount=500.00,
        description="Account transfer"
    ))
    
    # Security journal (transfer shares)
    security_journal = await client.create_journal(JournalRequest(
        from_account="source-account-id",
        to_account="destination-account-id",
        entry_type=JournalEntryType.JNLS,  # Security journal
        symbol="AAPL",
        qty=10,
        description="Share transfer"
    ))
    
    # Get all journals
    journals = await client.get_journals()

---

📊 MarketDataClient API

The MarketDataClient provides access to real-time and historical market data.

Historical Bars (OHLCV)

from datetime import datetime, timedelta
from alpacafarmer import (
    AlpacaAuth, MarketDataClient,
    BarsRequest, Timeframe, DataFeed
)

async with MarketDataClient(AlpacaAuth()) as client:
    # Get historical bars for multiple symbols
    bars = await client.get_bars(BarsRequest(
        symbols=["AAPL", "MSFT", "GOOGL"],
        timeframe=Timeframe.DAY_1,
        start=datetime.now() - timedelta(days=30),
        end=datetime.now(),
        limit=1000,
        feed=DataFeed.IEX
    ))
    
    for symbol, symbol_bars in bars.items():
        print(f"\n{symbol}:")
        for bar in symbol_bars[-5:]:  # Last 5 bars
            print(f"  {bar.t}: O={bar.o} H={bar.h} L={bar.l} C={bar.c} V={bar.v}")
    
    # Get bars for single symbol
    aapl_bars = await client.get_bars_single("AAPL", BarsRequest(
        timeframe=Timeframe.HOUR_1,
        start=datetime.now() - timedelta(days=7)
    ))
    
    # Get latest bars
    latest = await client.get_latest_bars(
        symbols=["AAPL", "MSFT"],
        feed=DataFeed.SIP
    )

Latest Quotes

async with MarketDataClient(AlpacaAuth()) as client:
    # Get latest quotes
    quotes = await client.get_latest_quotes(
        symbols=["AAPL", "MSFT", "GOOGL"],
        feed=DataFeed.SIP
    )
    
    for symbol, quote in quotes.items():
        spread = quote.ap - quote.bp
        print(f"{symbol}: Bid={quote.bp} x {quote.bs}, Ask={quote.ap} x {quote.as_}")
        print(f"  Spread: ${spread:.2f}")

Market Snapshots

async with MarketDataClient(AlpacaAuth()) as client:
    # Get comprehensive snapshot
    snapshot = await client.get_snapshot("AAPL")
    
    if snapshot.latest_trade:
        print(f"Latest Trade: ${snapshot.latest_trade.p} ({snapshot.latest_trade.s} shares)")
    
    if snapshot.latest_quote:
        print(f"Latest Quote: {snapshot.latest_quote.bp} x {snapshot.latest_quote.ap}")
    
    if snapshot.daily_bar:
        print(f"Today: O={snapshot.daily_bar.o} H={snapshot.daily_bar.h} "
              f"L={snapshot.daily_bar.l} C={snapshot.daily_bar.c}")
    
    # Get multiple snapshots
    snapshots = await client.get_snapshots(
        symbols=["AAPL", "MSFT", "GOOGL", "TSLA"],
        feed=DataFeed.SIP
    )

Historical Trades

from alpacafarmer import TradesRequest

async with MarketDataClient(AlpacaAuth()) as client:
    # Get historical trades
    trades = await client.get_trades(TradesRequest(
        symbols=["AAPL"],
        start=datetime.now() - timedelta(hours=1),
        limit=100
    ))
    
    # Get latest trades
    latest_trades = await client.get_latest_trades(
        symbols=["AAPL", "MSFT"]
    )

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🏗️ Pydantic Models

AlpacaFarmer provides 35+ Pydantic models for complete type safety and validation.

Key Models

Category	Models
Account	Account, AccountConfiguration
Orders	OrderRequest, Order, OrderUpdate, ListOrdersRequest
Positions	Position, ListPositionsRequest
Assets	Asset, ListAssetsRequest
Market Data	Bar, Quote, Trade, Snapshot, BarsRequest, QuotesRequest, TradesRequest
Broker	BrokerAccount, CreateAccountRequest, Contact, Identity, Disclosures, Agreement, TrustedContact
Transfers	Transfer, TransferRequest, ACHRelationship, ACHRelationshipRequest
Journals	Journal, JournalRequest

Validation Example

from pydantic import ValidationError
from alpacafarmer import OrderRequest, OrderSide, OrderType, TimeInForce

# Validation catches errors before API calls
try:
    order = OrderRequest(
        symbol="",  # Invalid: empty symbol
        qty=-10,    # Invalid: negative quantity
        side=OrderSide.BUY,
        type=OrderType.MARKET,
        time_in_force=TimeInForce.DAY
    )
except ValidationError as e:
    print("Validation errors:")
    for error in e.errors():
        print(f"  {error['loc']}: {error['msg']}")

Type-Safe Enums

from alpacafarmer import (
    OrderSide, OrderType, TimeInForce, OrderStatus,
    AssetClass, AssetStatus, PositionSide, AccountStatus,
    Timeframe, DataFeed,
    TransferDirection, TransferType, TransferStatus,
    BankAccountType, JournalEntryType, JournalStatus,
    FundingSource, TaxIdType
)

# Full IDE autocomplete support
order_type = OrderType.LIMIT  # Not "limit" string
timeframe = Timeframe.HOUR_1  # Not "1Hour" string

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⚠️ Error Handling

AlpacaFarmer provides typed exceptions for all error scenarios:

from alpacafarmer import (
    AlpacaError,
    APIError,
    AuthenticationError,
    RateLimitError,
    ValidationError,
    TraderClient,
    AlpacaAuth
)

async with TraderClient(AlpacaAuth()) as client:
    try:
        account = await client.get_account()
        
    except AuthenticationError as e:
        # Invalid or missing API credentials
        print(f"Auth failed: {e.message}")
        
    except RateLimitError as e:
        # API rate limit exceeded
        print(f"Rate limited: {e.message}")
        if e.retry_after:
            print(f"Retry after {e.retry_after} seconds")
            
    except APIError as e:
        # HTTP API error with status code
        print(f"API Error [{e.status_code}]: {e.message}")
        print(f"Response: {e.response_body}")
        
    except ValidationError as e:
        # Request validation failed
        print(f"Validation failed: {e.message}")
        for error in e.errors:
            print(f"  - {error}")
            
    except AlpacaError as e:
        # Base exception for all Alpaca errors
        print(f"Error: {e.message}")

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⚙️ Configuration

Environment Options

Environment	Trading URL	Data URL	Broker URL
PAPER	paper-api.alpaca.markets	data.alpaca.markets	broker-api.sandbox.alpaca.markets
LIVE	api.alpaca.markets	data.alpaca.markets	broker-api.alpaca.markets

Environment Variables

Variable	Description
ALPACA_API_KEY	API key for authentication
ALPACA_SECRET_KEY	Secret key for authentication
ALPACA_OAUTH_TOKEN	OAuth token (alternative to API key/secret)

Authentication Methods

from alpacafarmer import AlpacaAuth, Environment

# Method 1: Direct credentials
auth = AlpacaAuth(
    api_key="your-key",
    api_secret="your-secret",
    environment=Environment.PAPER
)

# Method 2: Environment variables
auth = AlpacaAuth()  # Reads from ALPACA_API_KEY and ALPACA_SECRET_KEY

# Method 3: OAuth token
auth = AlpacaAuth(oauth_token="your-oauth-token")

# Check environment
if auth.is_paper:
    print("Using paper trading environment")

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🛠️ Development

Clone and Setup

# Clone the repository
git clone https://github.com/alpacafarmer/alpacafarmer.git
cd alpacafarmer

# Install with UV (recommended)
uv sync

# Or with pip
pip install -e ".[dev]"

Running Tests

# Run all tests
uv run pytest

# Run with coverage
uv run pytest --cov=alpacafarmer

# Run specific test file
uv run pytest tests/test_trader_client.py

# Run with verbose output
uv run pytest -v

Code Quality

# Type checking
uv run mypy src/alpacafarmer

# Linting
uv run ruff check src/

# Formatting
uv run ruff format src/

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📤 Building and Publishing

Build with UV

# Build the package
uv build

# This creates:
# - dist/alpacafarmer-0.1.0.tar.gz
# - dist/alpacafarmer-0.1.0-py3-none-any.whl

Publish to PyPI

# Publish to PyPI (requires credentials)
uv publish

# Publish to TestPyPI first
uv publish --repository testpypi

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📋 API Coverage

API	Category	Status
Trader	Account	✅ Complete
	Orders (create, list, get, cancel, replace)	✅ Complete
	Positions (list, get, close)	✅ Complete
	Assets (list, get)	✅ Complete
Broker	Accounts (create, list, get, update, delete)	✅ Complete
	Trading (orders on behalf of accounts)	✅ Complete
	ACH Relationships	✅ Complete
	Transfers	✅ Complete
	Journals	✅ Complete
Market Data	Bars (historical, latest)	✅ Complete
	Quotes (historical, latest)	✅ Complete
	Trades (historical, latest)	✅ Complete
	Snapshots	✅ Complete

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📚 Resources

• 📖 Alpaca API Documentation
• 🔑 Get API Keys
• 💬 Alpaca Community
• 🐛 Report Issues

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🤝 Contributing

Contributions are welcome! Please follow these steps:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Make your changes
4. Add tests for new functionality
5. Ensure all tests pass (uv run pytest)
6. Commit your changes (git commit -m 'Add amazing feature')
7. Push to the branch (git push origin feature/amazing-feature)
8. Open a Pull Request

Guidelines

• Follow existing code style
• Add type hints to all functions
• Write docstrings for public APIs
• Include tests for new features
• Update documentation as needed

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📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

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⚠️ Disclaimer

This library is not affiliated with, endorsed by, or connected to Alpaca Markets, Inc. Use at your own risk. Always test thoroughly with paper trading before using real money. The authors are not responsible for any financial losses incurred through the use of this software.

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Made with ❤️ for the trading community