feat: initial trading platform implementation

Binance spot crypto trading platform with microservices architecture:
- shared: Pydantic models, Redis Streams broker, asyncpg DB layer
- data-collector: Binance WebSocket/REST market data collection
- strategy-engine: Plugin-based strategy execution (RSI, Grid)
- order-executor: Order execution with risk management
- portfolio-manager: Position tracking and PnL calculation
- backtester: Historical strategy testing with simulator
- cli: Click-based CLI for all operations
- Docker Compose orchestration with Redis and PostgreSQL
- 24 test files covering all modules

1 files changed, 80 insertions, 0 deletions

diff --git a/shared/tests/test_events.py b/shared/tests/test_events.py
new file mode 100644
index 0000000..4bc7981
--- /dev/null
+++ b/shared/tests/test_events.py
@@ -0,0 +1,80 @@
+"""Tests for shared event types."""
+import pytest
+from decimal import Decimal
+from datetime import datetime, timezone
+
+
+def make_candle():
+    from shared.models import Candle
+    return Candle(
+        symbol="BTCUSDT",
+        timeframe="1m",
+        open_time=datetime(2024, 1, 1, tzinfo=timezone.utc),
+        open=Decimal("50000"),
+        high=Decimal("51000"),
+        low=Decimal("49500"),
+        close=Decimal("50500"),
+        volume=Decimal("100"),
+    )
+
+
+def make_signal():
+    from shared.models import Signal, OrderSide
+    return Signal(
+        strategy="test",
+        symbol="BTCUSDT",
+        side=OrderSide.BUY,
+        price=Decimal("50000"),
+        quantity=Decimal("0.01"),
+        reason="test signal",
+    )
+
+
+def test_candle_event_serialize():
+    """Test CandleEvent serializes to dict correctly."""
+    from shared.events import CandleEvent, EventType
+    candle = make_candle()
+    event = CandleEvent(data=candle)
+    d = event.to_dict()
+    assert d["type"] == EventType.CANDLE
+    assert d["data"]["symbol"] == "BTCUSDT"
+    assert d["data"]["timeframe"] == "1m"
+
+
+def test_candle_event_deserialize():
+    """Test CandleEvent round-trips through to_dict/from_raw."""
+    from shared.events import CandleEvent, EventType
+    candle = make_candle()
+    event = CandleEvent(data=candle)
+    d = event.to_dict()
+    restored = CandleEvent.from_raw(d)
+    assert restored.type == EventType.CANDLE
+    assert restored.data.symbol == "BTCUSDT"
+    assert restored.data.close == Decimal("50500")
+
+
+def test_signal_event_serialize():
+    """Test SignalEvent serializes to dict correctly."""
+    from shared.events import SignalEvent, EventType
+    signal = make_signal()
+    event = SignalEvent(data=signal)
+    d = event.to_dict()
+    assert d["type"] == EventType.SIGNAL
+    assert d["data"]["symbol"] == "BTCUSDT"
+    assert d["data"]["strategy"] == "test"
+
+
+def test_event_from_dict_dispatch():
+    """Test Event.from_dict dispatches to correct class."""
+    from shared.events import Event, CandleEvent, SignalEvent, EventType
+    candle = make_candle()
+    event = CandleEvent(data=candle)
+    d = event.to_dict()
+    restored = Event.from_dict(d)
+    assert isinstance(restored, CandleEvent)
+
+    signal = make_signal()
+    s_event = SignalEvent(data=signal)
+    sd = s_event.to_dict()
+    restored_s = Event.from_dict(sd)
+    assert isinstance(restored_s, SignalEvent)