Phase 1.2: Add comprehensive Trade Data API support

DEVELOPMENT_PLAN.md

@@ -70,20 +70,22 @@ main
 - All models have proper type hints
 - 100% test coverage
 
-#### 1.2 Trade Data Support ⬜
+#### 1.2 Trade Data Support ✅
 **Branch**: `feature/trade-data-api`
 **Priority**: 🔴 Critical
 **Estimated Time**: 2 days
+**Actual Time**: < 1 day
+**Completed**: 2025-01-14
 
 **Tasks**:
-- [ ] Create `stock/trades.py` module
-- [ ] Implement `get_trades()` method with pagination
-- [ ] Implement `get_latest_trade()` method
-- [ ] Implement `get_trades_multi()` for multiple symbols
-- [ ] Create `TradeModel` dataclass
-- [ ] Add feed parameter support (iex, sip, otc)
-- [ ] Add comprehensive tests (10+ test cases)
-- [ ] Update documentation
+- [x] Create `stock/trades.py` module
+- [x] Implement `get_trades()` method with pagination
+- [x] Implement `get_latest_trade()` method
+- [x] Implement `get_trades_multi()` for multiple symbols
+- [x] Create `TradeModel` dataclass
+- [x] Add feed parameter support (iex, sip, otc)
+- [x] Add comprehensive tests (12 unit tests, 10 integration tests)
+- [x] Update documentation
 
 **Acceptance Criteria**:
 - Can retrieve historical trades with proper pagination
@@ -283,11 +285,11 @@ main
 
 ## 📈 Progress Tracking
 
-### Overall Progress: 🟦 10% Complete
+### Overall Progress: 🟦 20% Complete
 
 | Phase | Status | Progress | Estimated Completion |
 |-------|--------|----------|---------------------|
-| Phase 1: Critical Features | 🟦 In Progress | 33% | Week 3 |
+| Phase 1: Critical Features | 🟦 In Progress | 67% | Week 3 |
 | Phase 2: Important Enhancements | ⬜ Not Started | 0% | Week 5 |
 | Phase 3: Performance & Quality | ⬜ Not Started | 0% | Week 7 |
 | Phase 4: Advanced Features | ⬜ Not Started | 0% | Week 10 |

README.md

@@ -245,6 +245,52 @@ all_actions = api.trading.corporate_actions.get_announcements(
 )
 ```
 
+### Trade Data
+
+```python
+# Get historical trades for a symbol
+trades_response = api.stock.trades.get_trades(
+    symbol="AAPL",
+    start="2024-01-15T09:30:00Z",
+    end="2024-01-15T10:00:00Z",
+    limit=100
+)
+
+for trade in trades_response.trades:
+    print(f"Trade: {trade.size} shares @ ${trade.price} on {trade.exchange}")
+
+# Get latest trade for a symbol
+latest_trade = api.stock.trades.get_latest_trade("MSFT")
+print(f"Latest MSFT trade: ${latest_trade.price} x {latest_trade.size}")
+
+# Get trades for multiple symbols
+multi_trades = api.stock.trades.get_trades_multi(
+    symbols=["AAPL", "MSFT", "GOOGL"],
+    start="2024-01-15T09:30:00Z",
+    end="2024-01-15T10:00:00Z",
+    limit=10
+)
+
+for symbol, trades_data in multi_trades.items():
+    print(f"{symbol}: {len(trades_data.trades)} trades")
+
+# Get all trades with automatic pagination
+all_trades = api.stock.trades.get_all_trades(
+    symbol="SPY",
+    start="2024-01-15T09:30:00Z",
+    end="2024-01-15T09:35:00Z"
+)
+print(f"Total SPY trades: {len(all_trades)}")
+
+# Use different data feeds (requires subscription)
+sip_trades = api.stock.trades.get_trades(
+    symbol="AAPL",
+    start="2024-01-15T09:30:00Z",
+    end="2024-01-15T10:00:00Z",
+    feed="sip"  # or "iex", "otc"
+)
+```
+
 ### Advanced Order Types
 
 ```python

src/py_alpaca_api/models/trade_model.py

@@ -0,0 +1,77 @@
+from dataclasses import dataclass
+from typing import Any
+
+
+@dataclass
+class TradeModel:
+    """Model for individual stock trade data."""
+
+    timestamp: str  # RFC-3339 format timestamp
+    symbol: str
+    exchange: str
+    price: float
+    size: int
+    conditions: list[str] | None
+    id: int
+    tape: str
+
+
+def trade_class_from_dict(
+    data: dict[str, Any], symbol: str | None = None
+) -> TradeModel:
+    """Create TradeModel from API response dictionary.
+
+    Args:
+        data: Dictionary containing trade data from API
+        symbol: Optional symbol to use if not in data
+
+    Returns:
+        TradeModel instance
+    """
+    return TradeModel(
+        timestamp=data.get("t", ""),
+        symbol=data.get("symbol", symbol or ""),
+        exchange=data.get("x", ""),
+        price=float(data.get("p", 0.0)),
+        size=int(data.get("s", 0)),
+        conditions=data.get("c", []),
+        id=int(data.get("i", 0)),
+        tape=data.get("z", ""),
+    )
+
+
+@dataclass
+class LatestTradeModel:
+    """Model for latest trade data with symbol."""
+
+    trade: TradeModel
+    symbol: str
+
+
+@dataclass
+class TradesResponse:
+    """Response model for trades endpoint with pagination."""
+
+    trades: list[TradeModel]
+    symbol: str
+    next_page_token: str | None = None
+
+
+def extract_trades_data(data: dict[str, Any]) -> dict[str, Any]:
+    """Extract and transform trades data from API response.
+
+    Args:
+        data: Raw API response data
+
+    Returns:
+        Transformed dictionary ready for model creation
+    """
+    # Handle both single trade and multiple trades response formats
+    if "trades" in data:
+        # Multiple trades response
+        return data
+    if "trade" in data:
+        # Single latest trade response
+        return {"trades": [data["trade"]], "symbol": data.get("symbol", "")}
+    # Direct trade data
+    return {"trades": [data], "symbol": data.get("symbol", "")}

src/py_alpaca_api/stock/__init__.py

@@ -3,6 +3,7 @@
 from py_alpaca_api.stock.latest_quote import LatestQuote
 from py_alpaca_api.stock.predictor import Predictor
 from py_alpaca_api.stock.screener import Screener
+from py_alpaca_api.stock.trades import Trades
 from py_alpaca_api.trading.market import Market
 
 
@@ -25,13 +26,6 @@ def __init__(
             headers=headers, base_url=base_url, data_url=data_url, market=market
         )
 
-        self._initialize_components(
-            headers=headers,
-            base_url=base_url,
-            data_url=data_url,
-            market=market,
-        )
-
     def _initialize_components(
         self,
         headers: dict[str, str],
@@ -46,3 +40,4 @@ def _initialize_components(
         )
         self.predictor = Predictor(history=self.history, screener=self.screener)
         self.latest_quote = LatestQuote(headers=headers)
+        self.trades = Trades(headers=headers)