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1 change: 1 addition & 0 deletions qlib/data/ops.py
Original file line number Diff line number Diff line change
Expand Up @@ -1277,6 +1277,7 @@ def _load_internal(self, instrument, start_index, end_index, *args):
_series = self.feature.load(instrument, start_index, end_index, *args)
if self.N == 0:
series = pd.Series(expanding_rsquare(_series.values), index=_series.index)
series.loc[np.isclose(_series.expanding(min_periods=1).std(), 0, atol=2e-05)] = np.nan
else:
series = pd.Series(rolling_rsquare(_series.values, self.N), index=_series.index)
series.loc[np.isclose(_series.rolling(self.N, min_periods=1).std(), 0, atol=2e-05)] = np.nan
Expand Down
28 changes: 28 additions & 0 deletions tests/ops/test_rolling_operator.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,28 @@
import numpy as np
import pandas as pd

from qlib.data.ops import Rsquare


class FeatureStub:
def __init__(self, values):
self.series = pd.Series(values, dtype=float)

def load(self, instrument, start_index, end_index, *args):
return self.series


def test_expanding_rsquare_masks_near_constant_windows():
values = [100, 100, 100, 100.000001, 100, 100]

result = Rsquare(FeatureStub(values), 0)._load_internal(None, None, None)

assert result.isna().all()


def test_expanding_rsquare_keeps_varying_windows():
values = [1, 2, 4, 8, 16]

result = Rsquare(FeatureStub(values), 0)._load_internal(None, None, None)

assert np.isfinite(result.iloc[1:]).all()