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@ -101,6 +101,7 @@ def test_merge_informative_pair_monthly():
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candle1 = result.loc[(result["date"] == "2022-12-31T22:00:00.000Z")]
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assert candle1.iloc[0]["date"] == pd.Timestamp("2022-12-31T22:00:00.000Z")
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assert candle1.iloc[0]["date_1M"] == pd.Timestamp("2022-11-01T00:00:00.000Z")
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assert candle1.iloc[0]["volume_1M"]
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candle2 = result.loc[(result["date"] == "2022-12-31T23:00:00.000Z")]
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assert candle2.iloc[0]["date"] == pd.Timestamp("2022-12-31T23:00:00.000Z")
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@ -109,7 +110,8 @@ def test_merge_informative_pair_monthly():
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# Candle is empty, as the start-date did fail.
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candle3 = result.loc[(result["date"] == "2022-11-30T22:00:00.000Z")]
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assert candle3.iloc[0]["date"] == pd.Timestamp("2022-11-30T22:00:00.000Z")
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assert candle3.iloc[0]["date_1M"] is pd.NaT
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assert candle3.iloc[0]["date_1M"]
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assert candle3.iloc[0]["volume_1M"]
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# First candle with 1M data merged.
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candle4 = result.loc[(result["date"] == "2022-11-30T23:00:00.000Z")]
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