From b8dc7344ff99eb23d5f003795f17cdba3b89c40b Mon Sep 17 00:00:00 2001
From: TheSiahxyz <164138827+TheSiahxyz@users.noreply.github.com>
Date: Wed, 1 Apr 2026 17:05:45 +0900
Subject: test: add integration tests for strategy, order, portfolio, and
 backtest flows

---
 tests/integration/test_backtest_end_to_end.py | 66 +++++++++++++++++++++++++++
 1 file changed, 66 insertions(+)
 create mode 100644 tests/integration/test_backtest_end_to_end.py

(limited to 'tests/integration/test_backtest_end_to_end.py')

diff --git a/tests/integration/test_backtest_end_to_end.py b/tests/integration/test_backtest_end_to_end.py
new file mode 100644
index 0000000..4bdb5f3
--- /dev/null
+++ b/tests/integration/test_backtest_end_to_end.py
@@ -0,0 +1,66 @@
+"""Integration test: full backtest with real strategy on generated candles."""
+import sys
+from pathlib import Path
+
+sys.path.insert(0, str(Path(__file__).resolve().parents[2] / "services" / "strategy-engine" / "src"))
+sys.path.insert(0, str(Path(__file__).resolve().parents[2] / "services" / "strategy-engine"))
+sys.path.insert(0, str(Path(__file__).resolve().parents[2] / "services" / "backtester" / "src"))
+
+import pytest
+from decimal import Decimal
+from datetime import datetime, timedelta, timezone
+
+from shared.models import Candle
+from backtester.engine import BacktestEngine
+
+
+def _generate_candles(prices: list[float], symbol="BTCUSDT") -> list[Candle]:
+    return [
+        Candle(
+            symbol=symbol, timeframe="1h",
+            open_time=datetime(2025, 1, 1, tzinfo=timezone.utc) + timedelta(hours=i),
+            open=Decimal(str(p)), high=Decimal(str(p + 100)),
+            low=Decimal(str(p - 100)), close=Decimal(str(p)),
+            volume=Decimal("100"),
+        )
+        for i, p in enumerate(prices)
+    ]
+
+
+def test_backtest_rsi_strategy_end_to_end():
+    """Run RSI strategy through backtester and verify result structure."""
+    from strategies.rsi_strategy import RsiStrategy
+
+    strategy = RsiStrategy()
+    strategy.configure({"period": 5, "oversold": 30, "overbought": 70, "quantity": "0.1"})
+
+    # Generate price series: decline then rise
+    prices = [100 - i for i in range(15)] + [85 + i * 2 for i in range(15)]
+    candles = _generate_candles(prices)
+
+    engine = BacktestEngine(strategy, Decimal("10000"))
+    result = engine.run(candles)
+
+    assert result.strategy_name == "rsi"
+    assert result.symbol == "BTCUSDT"
+    assert result.initial_balance == Decimal("10000")
+    assert result.detailed is not None
+    assert result.detailed.total_trades >= 0
+
+
+def test_backtest_with_no_signals():
+    """Strategy that generates no signals should return initial balance."""
+    from strategies.rsi_strategy import RsiStrategy
+
+    strategy = RsiStrategy()
+    strategy.configure({"period": 14, "oversold": 10, "overbought": 90, "quantity": "0.1"})
+
+    # Flat prices -- no RSI extremes
+    prices = [100.0] * 30
+    candles = _generate_candles(prices)
+
+    engine = BacktestEngine(strategy, Decimal("10000"))
+    result = engine.run(candles)
+
+    assert result.total_trades == 0
+    assert result.final_balance == Decimal("10000")
-- 
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