backtest: reflect cost/execution effects in fold scoring (#368)
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This commit is contained in:
agentson
2026-03-02 02:10:08 +09:00
parent 8ac7436953
commit c27decb6b1
4 changed files with 186 additions and 6 deletions

View File

@@ -10,6 +10,7 @@ def test_valid_backtest_cost_model_passes() -> None:
commission_bps=5.0,
slippage_bps_by_session={"KRX_REG": 10.0, "US_PRE": 50.0},
failure_rate_by_session={"KRX_REG": 0.01, "US_PRE": 0.08},
partial_fill_rate_by_session={"KRX_REG": 0.1, "US_PRE": 0.2},
unfavorable_fill_required=True,
)
validate_backtest_cost_model(model=model, required_sessions=["KRX_REG", "US_PRE"])
@@ -20,6 +21,7 @@ def test_missing_required_slippage_session_raises() -> None:
commission_bps=5.0,
slippage_bps_by_session={"KRX_REG": 10.0},
failure_rate_by_session={"KRX_REG": 0.01, "US_PRE": 0.08},
partial_fill_rate_by_session={"KRX_REG": 0.1, "US_PRE": 0.2},
unfavorable_fill_required=True,
)
with pytest.raises(ValueError, match="missing slippage_bps_by_session.*US_PRE"):
@@ -31,6 +33,7 @@ def test_missing_required_failure_rate_session_raises() -> None:
commission_bps=5.0,
slippage_bps_by_session={"KRX_REG": 10.0, "US_PRE": 50.0},
failure_rate_by_session={"KRX_REG": 0.01},
partial_fill_rate_by_session={"KRX_REG": 0.1, "US_PRE": 0.2},
unfavorable_fill_required=True,
)
with pytest.raises(ValueError, match="missing failure_rate_by_session.*US_PRE"):
@@ -42,6 +45,7 @@ def test_invalid_failure_rate_range_raises() -> None:
commission_bps=5.0,
slippage_bps_by_session={"KRX_REG": 10.0},
failure_rate_by_session={"KRX_REG": 1.2},
partial_fill_rate_by_session={"KRX_REG": 0.2},
unfavorable_fill_required=True,
)
with pytest.raises(ValueError, match="failure rate must be within"):
@@ -53,6 +57,7 @@ def test_unfavorable_fill_requirement_cannot_be_disabled() -> None:
commission_bps=5.0,
slippage_bps_by_session={"KRX_REG": 10.0},
failure_rate_by_session={"KRX_REG": 0.02},
partial_fill_rate_by_session={"KRX_REG": 0.2},
unfavorable_fill_required=False,
)
with pytest.raises(ValueError, match="unfavorable_fill_required must be True"):
@@ -65,6 +70,7 @@ def test_non_finite_commission_rejected(bad_commission: float) -> None:
commission_bps=bad_commission,
slippage_bps_by_session={"KRX_REG": 10.0},
failure_rate_by_session={"KRX_REG": 0.02},
partial_fill_rate_by_session={"KRX_REG": 0.2},
unfavorable_fill_required=True,
)
with pytest.raises(ValueError, match="commission_bps"):
@@ -77,7 +83,33 @@ def test_non_finite_slippage_rejected(bad_slippage: float) -> None:
commission_bps=5.0,
slippage_bps_by_session={"KRX_REG": bad_slippage},
failure_rate_by_session={"KRX_REG": 0.02},
partial_fill_rate_by_session={"KRX_REG": 0.2},
unfavorable_fill_required=True,
)
with pytest.raises(ValueError, match="slippage bps"):
validate_backtest_cost_model(model=model, required_sessions=["KRX_REG"])
def test_missing_required_partial_fill_session_raises() -> None:
model = BacktestCostModel(
commission_bps=5.0,
slippage_bps_by_session={"KRX_REG": 10.0, "US_PRE": 50.0},
failure_rate_by_session={"KRX_REG": 0.01, "US_PRE": 0.08},
partial_fill_rate_by_session={"KRX_REG": 0.1},
unfavorable_fill_required=True,
)
with pytest.raises(ValueError, match="missing partial_fill_rate_by_session.*US_PRE"):
validate_backtest_cost_model(model=model, required_sessions=["KRX_REG", "US_PRE"])
@pytest.mark.parametrize("bad_partial_fill", [float("nan"), float("inf"), float("-inf"), -0.1, 1.1])
def test_invalid_partial_fill_rate_rejected(bad_partial_fill: float) -> None:
model = BacktestCostModel(
commission_bps=5.0,
slippage_bps_by_session={"KRX_REG": 10.0},
failure_rate_by_session={"KRX_REG": 0.02},
partial_fill_rate_by_session={"KRX_REG": bad_partial_fill},
unfavorable_fill_required=True,
)
with pytest.raises(ValueError, match="partial fill rate must be within"):
validate_backtest_cost_model(model=model, required_sessions=["KRX_REG"])

View File

@@ -35,6 +35,7 @@ def _cost_model() -> BacktestCostModel:
commission_bps=3.0,
slippage_bps_by_session={"KRX_REG": 10.0, "US_PRE": 50.0},
failure_rate_by_session={"KRX_REG": 0.01, "US_PRE": 0.08},
partial_fill_rate_by_session={"KRX_REG": 0.05, "US_PRE": 0.2},
unfavorable_fill_required=True,
)
@@ -71,6 +72,7 @@ def test_pipeline_happy_path_returns_fold_and_artifact_contract() -> None:
assert names == {"B0", "B1", "M1"}
for score in fold.baseline_scores:
assert 0.0 <= score.accuracy <= 1.0
assert 0.0 <= score.cost_adjusted_accuracy <= 1.0
def test_pipeline_cost_guard_fail_fast() -> None:
@@ -78,6 +80,7 @@ def test_pipeline_cost_guard_fail_fast() -> None:
commission_bps=3.0,
slippage_bps_by_session={"KRX_REG": 10.0},
failure_rate_by_session={"KRX_REG": 0.01},
partial_fill_rate_by_session={"KRX_REG": 0.05},
unfavorable_fill_required=True,
)
try:
@@ -166,3 +169,45 @@ def test_pipeline_rejects_minutes_spec_when_timestamp_missing() -> None:
assert "BacktestBar.timestamp is required" in str(exc)
else:
raise AssertionError("expected timestamp validation error")
def test_pipeline_fold_scores_reflect_cost_and_execution_effects() -> None:
cfg = dict(
bars=_bars(),
entry_indices=[0, 1, 2, 3, 4, 5, 6, 7],
side=1,
triple_barrier_spec=TripleBarrierSpec(
take_profit_pct=0.02,
stop_loss_pct=0.01,
max_holding_minutes=3,
),
walk_forward=WalkForwardConfig(
train_size=4,
test_size=2,
step_size=2,
purge_size=1,
embargo_size=1,
min_train_size=3,
),
)
optimistic = BacktestCostModel(
commission_bps=0.0,
slippage_bps_by_session={"KRX_REG": 0.0, "US_PRE": 0.0},
failure_rate_by_session={"KRX_REG": 0.0, "US_PRE": 0.0},
partial_fill_rate_by_session={"KRX_REG": 0.0, "US_PRE": 0.0},
unfavorable_fill_required=True,
)
conservative = BacktestCostModel(
commission_bps=10.0,
slippage_bps_by_session={"KRX_REG": 30.0, "US_PRE": 80.0},
failure_rate_by_session={"KRX_REG": 0.2, "US_PRE": 0.4},
partial_fill_rate_by_session={"KRX_REG": 0.5, "US_PRE": 0.7},
unfavorable_fill_required=True,
)
optimistic_out = run_v2_backtest_pipeline(cost_model=optimistic, **cfg)
conservative_out = run_v2_backtest_pipeline(cost_model=conservative, **cfg)
assert optimistic_out.folds and conservative_out.folds
optimistic_score = optimistic_out.folds[0].baseline_scores[1].cost_adjusted_accuracy
conservative_score = conservative_out.folds[0].baseline_scores[1].cost_adjusted_accuracy
assert conservative_score < optimistic_score