feat(agents): hand-crafted adversarial with heuristic checks

Implementa AdversarialAgent con check euristici hand-crafted:
no_trades (HIGH), degenerate (HIGH), overtrading/undertrading (MEDIUM).
Severity come StrEnum (UP042 clean), pipeline AST -> compile -> backtest
-> findings allineata a FalsificationAgent.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

tests/unit/test_adversarial.py

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+import numpy as np
+import pandas as pd
+import pytest
+
+from multi_swarm.agents.adversarial import AdversarialAgent, AdversarialReport, Severity
+from multi_swarm.protocol.parser import parse_strategy
+
+
+@pytest.fixture
+def ohlcv() -> pd.DataFrame:
+    idx = pd.date_range("2024-01-01", periods=500, freq="1h", tz="UTC")
+    close = 100 + np.cumsum(np.random.RandomState(0).normal(0.0, 1.0, 500))
+    return pd.DataFrame(
+        {
+            "open": close,
+            "high": close + 0.5,
+            "low": close - 0.5,
+            "close": close,
+            "volume": 1.0,
+        },
+        index=idx,
+    )
+
+
+def test_degenerate_always_long_flagged(ohlcv: pd.DataFrame) -> None:
+    src = "(strategy (when (gt (feature close) -1e9) (entry-long)))"
+    ast = parse_strategy(src)
+    agent = AdversarialAgent()
+    report = agent.review(ast, ohlcv)
+    assert isinstance(report, AdversarialReport)
+    assert any(f.name == "degenerate" and f.severity == Severity.HIGH for f in report.findings)
+
+
+def test_no_findings_on_reasonable_strategy(ohlcv: pd.DataFrame) -> None:
+    src = (
+        "(strategy "
+        "(when (gt (indicator rsi 14) 70.0) (entry-short)) "
+        "(when (lt (indicator rsi 14) 30.0) (entry-long)))"
+    )
+    ast = parse_strategy(src)
+    agent = AdversarialAgent()
+    report = agent.review(ast, ohlcv)
+    high_findings = [f for f in report.findings if f.severity == Severity.HIGH]
+    assert len(high_findings) == 0
+
+
+def test_zero_trade_strategy_flagged(ohlcv: pd.DataFrame) -> None:
+    src = "(strategy (when (gt (feature close) 1e9) (entry-long)))"
+    ast = parse_strategy(src)
+    agent = AdversarialAgent()
+    report = agent.review(ast, ohlcv)
+    assert any(f.name == "no_trades" for f in report.findings)