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https://github.com/mihakralj/QuanTAlib.git
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24 lines
2.2 KiB
Plaintext
24 lines
2.2 KiB
Plaintext
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šd£i÷ ã óÞ • % S r SSKJr SSKJr \( a SSKJr 0 SS_SS_S S
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_S S _S
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S_SS_SS_SS_SS_SS_SS_SS _S S _S S _S!S _S"S#_S$S_SS
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S%S&S&S'S(S)S*S+S,S-S.S/S0S1.ErS2\S3' S6S4 jr g5)7aY pandas-ta compatibility aliases.
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Maps pandas-ta function names to quantalib equivalents where signatures
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overlap. Import ``from quantalib._compat import ALIASES`` then look up
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the target function in ``quantalib.indicators``.
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Usage::
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from quantalib._compat import get_compat
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fn = get_compat("midprice") # returns indicators.medprice
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é )Ú annotations)Ú
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TYPE_CHECKING)ÚCallableÚmidpriceÚmedpriceÚ
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typical_priceÚtyppriceÚ
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average_priceÚavgpriceÚmid_bodyÚmidbodyÚmomentumÚmomÚsimple_moving_averageÚsmaÚweighted_moving_averageÚwmaÚhull_moving_averageÚhmaÚtriangular_moving_averageÚtrimaÚexponential_moving_averageÚemaÚ!double_exponential_moving_averageÚdemaÚ!triple_exponential_moving_averageÚtemaÚ least_squares_moving_averageÚlsmaÚtime_series_forecastÚtsfÚlinregÚsinwmaÚsinemaÚhl2ÚtrÚstddevÚobvÚpvtÚvwmaÚmfiÚcmfÚeomÚbbandsÚaberrÚzscoreÚbutter2)Úhlc3Úohlc4Ú
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true_rangeÚstandard_deviationÚstdevÚon_balance_volumeÚprice_volume_trendÚ volume_weighted_moving_averageÚmoney_flow_indexÚchaikin_money_flowÚease_of_movementÚbollinger_bandsÚ
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aberrationÚz_scoreÚ butterworthzdict[str, str]ÚALIASESc óX • SSK Jn [ R U 5 nUc g[ XS5 $ )z=Resolve a pandas-ta alias to the quantalib function, or None.é )Ú
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indicatorsN)Ú rD rA ÚgetÚgetattr)ÚnamerD Útargets Ú/C:\github\quantalib\python\quantalib\_compat.pyÚ
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get_compatrK A s( € å ä
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�[‰[˜Ó
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€FØ
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