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@@ -17,6 +17,9 @@ from quant_engine.alpha_factors import (
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ALPHA158_PHASE4_FORMULA_CATALOG_SHA256,
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ALPHA158_PHASE4_FORMULA_CONTRACT_VERSION,
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ALPHA158_PHASE4_FORMULA_SPECS,
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ALPHA158_PHASE5_FORMULA_CATALOG_SHA256,
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ALPHA158_PHASE5_FORMULA_CONTRACT_VERSION,
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ALPHA158_PHASE5_FORMULA_SPECS,
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alpha_001,
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alpha_002,
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alpha_003,
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@@ -179,10 +182,12 @@ from quant_engine.alpha_factors import (
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evaluate_phase2_operator,
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evaluate_phase3_formula,
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evaluate_phase4_formula,
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evaluate_phase5_formula,
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list_phase1_operators,
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list_phase2_operators,
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list_phase3_formulas,
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list_phase4_formulas,
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list_phase5_formulas,
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correlation,
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covariance,
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decay_linear,
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@@ -1789,3 +1794,171 @@ def test_phase4_dispatch_rejects_implicit_series_alignment():
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high=inputs["high"],
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low=misaligned_low,
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)
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# ── Alpha158 Phase 5: versioned alpha101-alpha150 formula contract ──────────
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def test_phase5_formula_catalog_is_versioned_exact_and_content_addressed():
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import hashlib
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import json
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from collections import Counter
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expected_ids = tuple(f"alpha_{number:03d}" for number in range(101, 151))
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expected_fields = {
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"name",
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"contract_version",
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"formula",
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"category",
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"complexity",
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"parameters",
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"description",
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"references",
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"call_inputs",
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"formula_inputs",
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"input_category",
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}
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assert ALPHA158_PHASE5_FORMULA_CONTRACT_VERSION == "1.0.0"
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assert list_phase5_formulas() == expected_ids
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assert tuple(ALPHA158_PHASE5_FORMULA_SPECS) == expected_ids
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assert Counter(
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spec["input_category"] for spec in ALPHA158_PHASE5_FORMULA_SPECS.values()
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) == {"pair": 33, "triple": 14, "quadruple": 3}
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for alpha_id, spec in ALPHA158_PHASE5_FORMULA_SPECS.items():
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assert set(spec) == expected_fields
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assert spec["name"] == alpha_id
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assert spec["contract_version"] == ALPHA158_PHASE5_FORMULA_CONTRACT_VERSION
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assert spec["formula"] == ALPHA158_REGISTRY[alpha_id]["formula"]
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serializable_specs = {
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alpha_id: {
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field: list(value) if isinstance(value, tuple) else value
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for field, value in spec.items()
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}
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for alpha_id, spec in ALPHA158_PHASE5_FORMULA_SPECS.items()
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}
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encoded = json.dumps(
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serializable_specs,
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sort_keys=True,
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separators=(",", ":"),
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ensure_ascii=False,
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).encode()
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assert hashlib.sha256(encoded).hexdigest() == ALPHA158_PHASE5_FORMULA_CATALOG_SHA256
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assert ALPHA158_PHASE5_FORMULA_CATALOG_SHA256 == (
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"3368796169c9fbd39c4a34ea137e569964b15882fbf4de25124790d548db6533"
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)
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def test_phase5_formula_catalog_is_recursively_immutable():
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import operator
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with pytest.raises(TypeError):
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operator.setitem(ALPHA158_PHASE5_FORMULA_SPECS, "alpha_101", {})
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with pytest.raises(TypeError):
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operator.setitem(
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ALPHA158_PHASE5_FORMULA_SPECS["alpha_101"],
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"formula",
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"changed",
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)
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with pytest.raises(TypeError):
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operator.setitem(
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ALPHA158_PHASE5_FORMULA_SPECS["alpha_101"]["call_inputs"],
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0,
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"volume",
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)
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def test_phase5_catalog_freezes_callable_and_formula_inputs():
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import inspect
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for alpha_id, spec in ALPHA158_PHASE5_FORMULA_SPECS.items():
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function = getattr(alpha_factors_module, alpha_id)
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signature_inputs = tuple(
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"open" if name == "open_" else name
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for name in inspect.signature(function).parameters
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)
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assert spec["call_inputs"] == signature_inputs
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assert spec["formula_inputs"] == tuple(ALPHA158_REGISTRY[alpha_id]["inputs"])
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assert ALPHA158_PHASE5_FORMULA_SPECS["alpha_101"]["call_inputs"] == (
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"close",
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"high",
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"low",
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)
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def test_phase5_dispatch_matches_all_existing_alpha101_alpha150_functions():
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inputs = _phase3_market_inputs()
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for alpha_id, spec in ALPHA158_PHASE5_FORMULA_SPECS.items():
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call_inputs = spec["call_inputs"]
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function = getattr(alpha_factors_module, alpha_id)
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expected = function(*(inputs[name] for name in call_inputs))
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actual = evaluate_phase5_formula(
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alpha_id,
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**{name: inputs[name] for name in reversed(call_inputs)},
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)
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pd.testing.assert_series_equal(actual, expected)
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def test_phase5_dispatch_rejects_unknown_missing_extra_and_non_series_inputs():
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inputs = _phase3_market_inputs()
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with pytest.raises(KeyError, match="not registered"):
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evaluate_phase5_formula("alpha_100", close=inputs["close"])
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with pytest.raises(KeyError, match="not registered"):
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evaluate_phase5_formula("alpha_151", close=inputs["close"])
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with pytest.raises(ValueError, match=r"missing inputs.*low"):
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evaluate_phase5_formula(
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"alpha_101",
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close=inputs["close"],
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high=inputs["high"],
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)
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with pytest.raises(ValueError, match=r"unexpected inputs.*vwap"):
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evaluate_phase5_formula(
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"alpha_101",
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close=inputs["close"],
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high=inputs["high"],
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low=inputs["low"],
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vwap=inputs["vwap"],
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)
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with pytest.raises(TypeError, match="high must be a pandas Series"):
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evaluate_phase5_formula( # type: ignore[arg-type]
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"alpha_101",
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close=inputs["close"],
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high=[1.0, 2.0],
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low=inputs["low"],
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)
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def test_phase5_dispatch_rejects_length_and_index_alignment_errors():
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inputs = _phase3_market_inputs()
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shorter_low = inputs["low"].iloc[:-1]
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misaligned_high = inputs["high"].rename(index={79: 80})
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with pytest.raises(ValueError, match="low length must match close"):
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evaluate_phase5_formula(
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"alpha_101",
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close=inputs["close"],
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high=inputs["high"],
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low=shorter_low,
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)
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with pytest.raises(ValueError, match="high index must align with close"):
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evaluate_phase5_formula(
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"alpha_101",
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close=inputs["close"],
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high=misaligned_high,
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low=inputs["low"],
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)
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def test_phase5_contract_is_publicly_exported():
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assert {
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"ALPHA158_PHASE5_FORMULA_CONTRACT_VERSION",
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"ALPHA158_PHASE5_FORMULA_CATALOG_SHA256",
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"ALPHA158_PHASE5_FORMULA_SPECS",
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"list_phase5_formulas",
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"evaluate_phase5_formula",
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} <= set(alpha_factors_module.__all__)
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