feat: phase 1 — data downloader, backtrader runner, SMA strategy

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

tests/test_downloader.py

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+import pytest
+from data.downloader import download_daily
+
+
+def test_download_single_stock():
+    """Smoke test: download data for 浦发银行 for a short window."""
+    df = download_daily("sh600000", "2024-01-01", "2024-01-31")
+    assert df is not None
+    assert len(df) > 0
+    assert list(df.columns) == ["symbol", "date", "open", "high", "low", "close", "volume", "amount"]
+    assert df["close"].notna().all()
+
+
+def test_download_baostock_fallback():
+    """Test baostock works as secondary source."""
+    df = download_daily("sz000001", "2024-06-01", "2024-06-15", source="baostock")
+    assert df is not None
+    assert len(df) > 0

tests/test_runner.py

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+import pytest
+from backtest.config import BacktestConfig
+from backtest.runner import BacktestRunner
+from strategies.base import SmaCross
+
+
+def test_backtest_smoke():
+    """Smoke test: run a minimal backtest and check results exist."""
+    config = BacktestConfig(
+        symbols=["sh600000"],
+        start_date="2024-01-01",
+        end_date="2024-03-31",
+        initial_cash=100_000,
+    )
+    runner = BacktestRunner(config)
+    results = runner.run(SmaCross)
+    assert results is not None
+    assert len(results) == 1
+    # Check analyzers exist
+    sharpe = results[0].analyzers.sharpe.get_analysis()
+    assert "sharperatio" in sharpe