feat(agents): hand-crafted falsification (compile→backtest→DSR)

Pipeline AST -> compile_strategy -> BacktestEngine -> Sharpe/DSR/DD.
Caso zero-trade ritorna report tutto-zero. n_trials_dsr correzione
multiple-testing parametrizzata via init.

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

tests/unit/test_falsification.py

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+import numpy as np
+import pandas as pd
+import pytest
+
+from multi_swarm.agents.falsification import FalsificationAgent, FalsificationReport
+from multi_swarm.protocol.parser import parse_strategy
+
+
+@pytest.fixture
+def trending_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(0.01, 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_falsification_returns_report(trending_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 = FalsificationAgent(fees_bp=5.0, n_trials_dsr=20)
+    report = agent.evaluate(ast, trending_ohlcv)
+    assert isinstance(report, FalsificationReport)
+    assert isinstance(report.sharpe, float)
+    assert isinstance(report.dsr, float)
+    assert 0.0 <= report.dsr <= 1.0
+    assert isinstance(report.max_drawdown, float)
+    assert isinstance(report.n_trades, int)
+
+
+def test_falsification_zero_trades_returns_zero_metrics(trending_ohlcv: pd.DataFrame) -> None:
+    src = "(strategy (when (gt (feature close) 1e9) (entry-long)))"
+    ast = parse_strategy(src)
+    agent = FalsificationAgent(fees_bp=5.0, n_trials_dsr=20)
+    report = agent.evaluate(ast, trending_ohlcv)
+    assert report.n_trades == 0
+    assert report.sharpe == 0.0