mirror of
https://github.com/wassname/pandas-ta.git
synced 2026-06-27 16:10:07 +08:00
DEP remove alias kwarg option MAINT remove core spacing
This commit is contained in:
Kevin Johnson
@@ -124,6 +124,7 @@ reqs.txt
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requirements.txt
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driver.py
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qd.py
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tdseq.py
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# Local package installs
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ta-lib/
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+15
-99
@@ -62,9 +62,7 @@ class Strategy:
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ta_is_list = isinstance(self.ta, list)
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if self.name is None or not name_is_str:
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required_args.append(
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' - name. Must be a string. Example: "My TA". Note: "all" is reserved.'
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)
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required_args.append(' - name. Must be a string. Example: "My TA". Note: "all" is reserved.')
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has_name != has_name
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if self.ta is None:
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@@ -73,8 +71,7 @@ class Strategy:
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# Check that all elements of the list are dicts.
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# Does not check if the dicts values are valid indicator kwargs
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# User must check indicator documentation for all indicators args.
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is_ta = all(
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[isinstance(_, dict) and len(_.keys()) > 0 for _ in self.ta])
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is_ta = all([isinstance(_, dict) and len(_.keys()) > 0 for _ in self.ta])
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else:
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s = " - ta. Format is a list of dicts. Example: [{'kind': 'sma', 'length': 10}]"
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s += "\n Check the indicator for the correct arguments if you receive this error."
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@@ -219,12 +216,15 @@ class AnalysisIndicators(BasePandasObject):
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>>> help(df.ta.apo)
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4. Ways of calling an indicator.
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4a. Calling just the MACD indicator without "ta" DataFrame extension.
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4a. Standard: Calling just the APO indicator without "ta" DataFrame extension.
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>>> ta.apo(df["close"])
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4b. Calling just the MACD indicator with "ta" DataFrame extension.
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4b. DataFrame Extension: Calling just the APO indicator with "ta" DataFrame extension.
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>>> df.ta.apo()
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4c. Calling using kind.
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4c. DataFrame Extension (kind): Calling APO using 'kind'
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>>> df.ta(kind="apo")
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4d. Strategy:
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>>> df.ta.strategy("All") # Default
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>>> df.ta.strategy(ta.Strategy("My Strat", ta=[{"kind": "apo"}])) # Custom
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5. Working with kwargs
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5a. Append the result to the working df.
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@@ -241,8 +241,7 @@ class AnalysisIndicators(BasePandasObject):
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# DataFrame Behavioral Methods
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def __call__(
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self, kind: str = None,
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alias: str = None, timed: bool = False,
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verbose: bool = False, **kwargs
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timed: bool = False, verbose: bool = False, **kwargs
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):
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if verbose: print(f"Pandas TA - Technical Analysis Indicators - v{self.version}")
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try:
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@@ -258,12 +257,7 @@ class AnalysisIndicators(BasePandasObject):
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if timed:
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result.timed = final_time(stime)
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alias_str = alias + ":" if alias is not None else ""
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print(f"[+] {kind}:{alias_str} {result.timed}")
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# Add an alias if passed
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if alias:
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result.alias = f"{alias}"
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print(f"[+] {kind}: {result.timed}")
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return result
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else:
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@@ -354,9 +348,7 @@ class AnalysisIndicators(BasePandasObject):
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if isinstance(result, pd.Series):
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result.name = prefix + result.name + suffix
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else:
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result.columns = [
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prefix + column + suffix for column in result.columns
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]
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result.columns = [prefix + column + suffix for column in result.columns]
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def _append(self, result=None, **kwargs) -> None:
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"""Appends a Pandas Series or DataFrame columns to self._df."""
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@@ -624,13 +616,12 @@ class AnalysisIndicators(BasePandasObject):
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print(f"[X] Not an available strategy.")
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return None
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# Remove indicators with "length" keyward when larger than the DataFrame
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# Remove Custom indicators with "length" keyword when larger than the DataFrame
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# Possible to have other indicator main window lengths to be included
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removal = []
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for kwds in ta:
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_ = False
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if "length" in kwds and kwds["length"] > self._df.shape[0]:
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_ = True
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if "length" in kwds and kwds["length"] > self._df.shape[0]: _ = True
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if _: removal.append(kwds)
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if len(removal) > 0: [ta.remove(x) for x in removal]
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@@ -728,7 +719,6 @@ class AnalysisIndicators(BasePandasObject):
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high = self._get_column(kwargs.pop("high", "high"))
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low = self._get_column(kwargs.pop("low", "low"))
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close = self._get_column(kwargs.pop("close", "close"))
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result = cdl_doji(open_=open_, high=high, low=low, close=close, offset=offset, **kwargs)
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return self._post_process(result, **kwargs)
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@@ -737,7 +727,6 @@ class AnalysisIndicators(BasePandasObject):
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high = self._get_column(kwargs.pop("high", "high"))
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low = self._get_column(kwargs.pop("low", "low"))
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close = self._get_column(kwargs.pop("close", "close"))
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result = cdl_inside(open_=open_, high=high, low=low, close=close, offset=offset, **kwargs)
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return self._post_process(result, **kwargs)
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@@ -746,14 +735,12 @@ class AnalysisIndicators(BasePandasObject):
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high = self._get_column(kwargs.pop("high", "high"))
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low = self._get_column(kwargs.pop("low", "low"))
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close = self._get_column(kwargs.pop("close", "close"))
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result = ha(open_=open_, high=high, low=low, close=close, offset=offset, **kwargs)
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return self._post_process(result, **kwargs)
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# Cycles
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def ebsw(self, close=None, length=None, bars=None, offset=None, **kwargs):
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close = self._get_column(kwargs.pop("close", "close"))
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result = ebsw(close=close, length=length, bars=bars, offset=offset, **kwargs)
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return self._post_process(result, **kwargs)
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@@ -761,7 +748,6 @@ class AnalysisIndicators(BasePandasObject):
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def ao(self, fast=None, slow=None, offset=None, **kwargs):
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high = self._get_column(kwargs.pop("high", "high"))
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low = self._get_column(kwargs.pop("low", "low"))
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result = ao(high=high, low=low, fast=fast, slow=slow, offset=offset, **kwargs)
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return self._post_process(result, **kwargs)
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@@ -780,7 +766,6 @@ class AnalysisIndicators(BasePandasObject):
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high = self._get_column(kwargs.pop("high", "high"))
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low = self._get_column(kwargs.pop("low", "low"))
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close = self._get_column(kwargs.pop("close", "close"))
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result = bop(open_=open_, high=high, low=low, close=close, percentage=percentage, offset=offset, **kwargs)
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return self._post_process(result, **kwargs)
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@@ -789,7 +774,6 @@ class AnalysisIndicators(BasePandasObject):
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high = self._get_column(kwargs.pop("high", "high"))
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low = self._get_column(kwargs.pop("low", "low"))
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close = self._get_column(kwargs.pop("close", "close"))
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result = brar(open_=open_, high=high, low=low, close=close, length=length, scalar=scalar, drift=drift, offset=offset, **kwargs)
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return self._post_process(result, **kwargs)
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@@ -797,7 +781,6 @@ class AnalysisIndicators(BasePandasObject):
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high = self._get_column(kwargs.pop("high", "high"))
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low = self._get_column(kwargs.pop("low", "low"))
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close = self._get_column(kwargs.pop("close", "close"))
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result = cci(high=high, low=low, close=close, length=length, c=c, offset=offset, **kwargs)
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return self._post_process(result, **kwargs)
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@@ -830,14 +813,12 @@ class AnalysisIndicators(BasePandasObject):
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high = self._get_column(kwargs.pop("high", "high"))
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low = self._get_column(kwargs.pop("low", "low"))
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close = self._get_column(kwargs.pop("close", "close"))
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result = eri(high=high, low=low, close=close, length=length, offset=offset, **kwargs)
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return self._post_process(result, **kwargs)
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def fisher(self, length=None, signal=None, offset=None, **kwargs):
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high = self._get_column(kwargs.pop("high", "high"))
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low = self._get_column(kwargs.pop("low", "low"))
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result = fisher(high=high, low=low, length=length, signal=signal, offset=offset, **kwargs)
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return self._post_process(result, **kwargs)
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@@ -856,7 +837,6 @@ class AnalysisIndicators(BasePandasObject):
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high = self._get_column(kwargs.pop("high", "high"))
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low = self._get_column(kwargs.pop("low", "low"))
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close = self._get_column(kwargs.pop("close", "close"))
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result = kdj(high=high, low=low, close=close, length=length, signal=signal, offset=offset, **kwargs)
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return self._post_process(result, **kwargs)
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@@ -879,7 +859,6 @@ class AnalysisIndicators(BasePandasObject):
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high = self._get_column(kwargs.pop("high", "high"))
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low = self._get_column(kwargs.pop("low", "low"))
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close = self._get_column(kwargs.pop("close", "close"))
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result = pgo(high=high, low=low, close=close, length=length, offset=offset, **kwargs)
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return self._post_process(result, **kwargs)
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@@ -926,7 +905,6 @@ class AnalysisIndicators(BasePandasObject):
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high = self._get_column(kwargs.pop("high", "high"))
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low = self._get_column(kwargs.pop("low", "low"))
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close = self._get_column(kwargs.pop("close", "close"))
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result = rvgi(open_=open_, high=high, low=low, close=close, length=length, swma_length=swma_length, offset=offset, **kwargs)
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return self._post_process(result, **kwargs)
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@@ -944,7 +922,6 @@ class AnalysisIndicators(BasePandasObject):
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high = self._get_column(kwargs.pop("high", "high"))
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low = self._get_column(kwargs.pop("low", "low"))
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close = self._get_column(kwargs.pop("close", "close"))
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result = squeeze(high=high, low=low, close=close, bb_length=bb_length, bb_std=bb_std, kc_length=kc_length, kc_scalar=kc_scalar, mom_length=mom_length, mom_smooth=mom_smooth, use_tr=use_tr, offset=offset, **kwargs)
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return self._post_process(result, **kwargs)
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@@ -952,7 +929,6 @@ class AnalysisIndicators(BasePandasObject):
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high = self._get_column(kwargs.pop("high", "high"))
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low = self._get_column(kwargs.pop("low", "low"))
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close = self._get_column(kwargs.pop("close", "close"))
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result = stoch(high=high, low=low, close=close, fast_k=fast_k, slow_k=slow_k, slow_d=slow_d, offset=offset, **kwargs)
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return self._post_process(result, **kwargs)
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@@ -960,7 +936,6 @@ class AnalysisIndicators(BasePandasObject):
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high = self._get_column(kwargs.pop("high", "high"))
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low = self._get_column(kwargs.pop("low", "low"))
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close = self._get_column(kwargs.pop("close", "close"))
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result = stochrsi(high=high, low=low, close=close, length=length, rsi_length=rsi_length, k=k, d=d, offset=offset, **kwargs)
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return self._post_process(result, **kwargs)
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@@ -978,7 +953,6 @@ class AnalysisIndicators(BasePandasObject):
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high = self._get_column(kwargs.pop("high", "high"))
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low = self._get_column(kwargs.pop("low", "low"))
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close = self._get_column(kwargs.pop("close", "close"))
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result = uo(high=high, low=low, close=close, fast=fast, medium=medium, slow=slow, fast_w=fast_w, medium_w=medium_w, slow_w=slow_w, drift=drift, offset=offset, **kwargs)
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return self._post_process(result, **kwargs)
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@@ -986,7 +960,6 @@ class AnalysisIndicators(BasePandasObject):
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high = self._get_column(kwargs.pop("high", "high"))
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low = self._get_column(kwargs.pop("low", "low"))
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close = self._get_column(kwargs.pop("close", "close"))
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result = willr(high=high, low=low, close=close, length=length, percentage=percentage, offset=offset, **kwargs)
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return self._post_process(result, **kwargs)
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@@ -995,7 +968,7 @@ class AnalysisIndicators(BasePandasObject):
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close = self._get_column(kwargs.pop("close", "close"))
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result = alma(close=close, length=length, sigma=sigma, distribution_offset=distribution_offset, offset=offset, **kwargs)
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return self._post_process(result, **kwargs)
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def dema(self, length=None, offset=None, **kwargs):
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close = self._get_column(kwargs.pop("close", "close"))
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result = dema(close=close, length=length, offset=offset, **kwargs)
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@@ -1015,14 +988,12 @@ class AnalysisIndicators(BasePandasObject):
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high = self._get_column(kwargs.pop("high", "high"))
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low = self._get_column(kwargs.pop("low", "low"))
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close = self._get_column(kwargs.pop("close", "close"))
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result = hilo(high=high, low=low, close=close, high_length=high_length, low_length=low_length, mamode=mamode, offset=offset, **kwargs)
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return self._post_process(result, **kwargs)
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def hl2(self, offset=None, **kwargs):
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high = self._get_column(kwargs.pop("high", "high"))
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low = self._get_column(kwargs.pop("low", "low"))
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result = hl2(high=high, low=low, offset=offset, **kwargs)
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return self._post_process(result, **kwargs)
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@@ -1030,7 +1001,6 @@ class AnalysisIndicators(BasePandasObject):
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high = self._get_column(kwargs.pop("high", "high"))
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low = self._get_column(kwargs.pop("low", "low"))
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close = self._get_column(kwargs.pop("close", "close"))
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result = hlc3(high=high, low=low, close=close, offset=offset, **kwargs)
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return self._post_process(result, **kwargs)
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@@ -1038,7 +1008,7 @@ class AnalysisIndicators(BasePandasObject):
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close = self._get_column(kwargs.pop("close", "close"))
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result = hma(close=close, length=length, offset=offset, **kwargs)
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return self._post_process(result, **kwargs)
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def hwma(self, na=None, nb=None, nc=None, offset=None, **kwargs):
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close = self._get_column(kwargs.pop("close", "close"))
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result = hwma(close=close, na=na, nb=nb, nc=nc, offset=offset, **kwargs)
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@@ -1053,7 +1023,6 @@ class AnalysisIndicators(BasePandasObject):
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high = self._get_column(kwargs.pop("high", "high"))
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low = self._get_column(kwargs.pop("low", "low"))
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close = self._get_column(kwargs.pop("close", "close"))
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result, span = ichimoku(high=high, low=low, close=close, tenkan=tenkan, kijun=kijun, senkou=senkou, offset=offset, **kwargs)
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self._add_prefix_suffix(result, **kwargs)
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self._add_prefix_suffix(span, **kwargs)
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@@ -1079,7 +1048,6 @@ class AnalysisIndicators(BasePandasObject):
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def midprice(self, length=None, offset=None, **kwargs):
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high = self._get_column(kwargs.pop("high", "high"))
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low = self._get_column(kwargs.pop("low", "low"))
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result = midprice(high=high, low=low, length=length, offset=offset, **kwargs)
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return self._post_process(result, **kwargs)
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@@ -1120,7 +1088,6 @@ class AnalysisIndicators(BasePandasObject):
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high = self._get_column(kwargs.pop("high", "high"))
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low = self._get_column(kwargs.pop("low", "low"))
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close = self._get_column(kwargs.pop("close", "close"))
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result = supertrend(high=high, low=low, close=close, length=length, multiplier=multiplier, offset=offset, **kwargs)
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return self._post_process(result, **kwargs)
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@@ -1164,7 +1131,6 @@ class AnalysisIndicators(BasePandasObject):
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def vwma(self, volume=None, length=None, offset=None, **kwargs):
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close = self._get_column(kwargs.pop("close", "close"))
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volume = self._get_column(kwargs.pop("volume", "volume"))
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result = vwma(close=close, volume=close, length=length, offset=offset, **kwargs)
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return self._post_process(result, **kwargs)
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@@ -1172,7 +1138,6 @@ class AnalysisIndicators(BasePandasObject):
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high = self._get_column(kwargs.pop("high", "high"))
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low = self._get_column(kwargs.pop("low", "low"))
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close = self._get_column(kwargs.pop("close", "close"))
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result = wcp(high=high, low=low, close=close, offset=offset, **kwargs)
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return self._post_process(result, **kwargs)
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@@ -1256,7 +1221,6 @@ class AnalysisIndicators(BasePandasObject):
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high = self._get_column(kwargs.pop("high", "high"))
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low = self._get_column(kwargs.pop("low", "low"))
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close = self._get_column(kwargs.pop("close", "close"))
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result = adx(high=high, low=low, close=close, length=length, scalar=scalar, drift=drift, offset=offset, **kwargs)
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return self._post_process(result, **kwargs)
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@@ -1268,7 +1232,6 @@ class AnalysisIndicators(BasePandasObject):
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def aroon(self, length=None, scalar=None, offset=None, **kwargs):
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high = self._get_column(kwargs.pop("high", "high"))
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low = self._get_column(kwargs.pop("low", "low"))
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result = aroon(high=high, low=low, length=length, scalar=scalar, offset=offset, **kwargs)
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return self._post_process(result, **kwargs)
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@@ -1276,7 +1239,6 @@ class AnalysisIndicators(BasePandasObject):
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high = self._get_column(kwargs.pop("high", "high"))
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low = self._get_column(kwargs.pop("low", "low"))
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close = self._get_column(kwargs.pop("close", "close"))
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result = chop(high=high, low=low, close=close, length=length, atr_length=atr_length, scalar=scalar, drift=drift, offset=offset, **kwargs)
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return self._post_process(result, **kwargs)
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@@ -1284,7 +1246,6 @@ class AnalysisIndicators(BasePandasObject):
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high = self._get_column(kwargs.pop("high", "high"))
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low = self._get_column(kwargs.pop("low", "low"))
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close = self._get_column(kwargs.pop("close", "close"))
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result = cksp(high=high, low=low, close=close, p=p, x=x, q=q, offset=offset, **kwargs)
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return self._post_process(result, **kwargs)
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@@ -1325,7 +1286,6 @@ class AnalysisIndicators(BasePandasObject):
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def qstick(self, length=None, offset=None, **kwargs):
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open_ = self._get_column(kwargs.pop("open", "open"))
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close = self._get_column(kwargs.pop("close", "close"))
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|
||||
result = qstick(open_=open_, close=close, length=length, offset=offset, **kwargs)
|
||||
return self._post_process(result, **kwargs)
|
||||
|
||||
@@ -1340,7 +1300,6 @@ class AnalysisIndicators(BasePandasObject):
|
||||
high = self._get_column(kwargs.pop("high", "high"))
|
||||
low = self._get_column(kwargs.pop("low", "low"))
|
||||
close = self._get_column(kwargs.pop("close", "close"))
|
||||
|
||||
result = supertrend(high=high, low=low, close=close, period=period, multiplier=multiplier, mamode=mamode, drift=drift, offset=offset, **kwargs)
|
||||
return self._post_process(result, **kwargs)
|
||||
|
||||
@@ -1348,7 +1307,6 @@ class AnalysisIndicators(BasePandasObject):
|
||||
high = self._get_column(kwargs.pop("high", "high"))
|
||||
low = self._get_column(kwargs.pop("low", "low"))
|
||||
close = self._get_column(kwargs.pop("close", "close"))
|
||||
|
||||
result = ttm_trend(high=high, low=low, close=close, length=length, offset=offset, **kwargs)
|
||||
return self._post_process(result, **kwargs)
|
||||
|
||||
@@ -1356,7 +1314,6 @@ class AnalysisIndicators(BasePandasObject):
|
||||
high = self._get_column(kwargs.pop("high", "high"))
|
||||
low = self._get_column(kwargs.pop("low", "low"))
|
||||
close = self._get_column(kwargs.pop("close", "close"))
|
||||
|
||||
result = vortex(high=high, low=low, close=close, drift=drift, offset=offset, **kwargs)
|
||||
return self._post_process(result, **kwargs)
|
||||
|
||||
@@ -1365,49 +1322,33 @@ class AnalysisIndicators(BasePandasObject):
|
||||
a = self._get_column(kwargs.pop("close", "a"))
|
||||
b = self._get_column(kwargs.pop("close", "b"))
|
||||
result = above(series_a=a, series_b=b, asint=asint, offset=offset, **kwargs)
|
||||
|
||||
# self._add_prefix_suffix(result, **kwargs)
|
||||
# self._append(result, **kwargs)
|
||||
return self._post_process(result, **kwargs)
|
||||
|
||||
def above_value(self, value=None, asint=True, offset=None, **kwargs):
|
||||
a = self._get_column(kwargs.pop("close", "a"))
|
||||
result = above_value(series_a=a, value=value, asint=asint, offset=offset, **kwargs)
|
||||
|
||||
# self._add_prefix_suffix(result, **kwargs)
|
||||
# self._append(result, **kwargs)
|
||||
return self._post_process(result, **kwargs)
|
||||
|
||||
def below(self, asint=True, offset=None, **kwargs):
|
||||
a = self._get_column(kwargs.pop("close", "a"))
|
||||
b = self._get_column(kwargs.pop("close", "b"))
|
||||
result = below(series_a=a, series_b=b, asint=asint, offset=offset, **kwargs)
|
||||
# self._add_prefix_suffix(result, **kwargs)
|
||||
# self._append(result, **kwargs)
|
||||
return self._post_process(result, **kwargs)
|
||||
|
||||
def below_value(self, value=None, asint=True, offset=None, **kwargs):
|
||||
a = self._get_column(kwargs.pop("close", "a"))
|
||||
result = below_value(series_a=a, value=value, asint=asint, offset=offset, **kwargs)
|
||||
|
||||
# self._add_prefix_suffix(result, **kwargs)
|
||||
# self._append(result, **kwargs)
|
||||
return self._post_process(result, **kwargs)
|
||||
|
||||
def cross(self, above=True, asint=True, offset=None, **kwargs):
|
||||
a = self._get_column(kwargs.pop("close", "a"))
|
||||
b = self._get_column(kwargs.pop("close", "b"))
|
||||
result = cross(series_a=a, series_b=b, above=above, asint=asint, offset=offset, **kwargs)
|
||||
# self._add_prefix_suffix(result, **kwargs)
|
||||
# self._append(result, **kwargs)
|
||||
return self._post_process(result, **kwargs)
|
||||
|
||||
def cross_value(self, value=None, above=True, asint=True, offset=None, **kwargs):
|
||||
a = self._get_column(a, f"{a}")
|
||||
result = cross_value(series_a=a, value=value, above=above, asint=asint, offset=offset, **kwargs)
|
||||
|
||||
# self._add_prefix_suffix(result, **kwargs)
|
||||
# self._append(result, **kwargs)
|
||||
return self._post_process(result, **kwargs)
|
||||
|
||||
# Volatility
|
||||
@@ -1415,7 +1356,6 @@ class AnalysisIndicators(BasePandasObject):
|
||||
high = self._get_column(kwargs.pop("high", "high"))
|
||||
low = self._get_column(kwargs.pop("low", "low"))
|
||||
close = self._get_column(kwargs.pop("close", "close"))
|
||||
|
||||
result = aberration(high=high, low=low, close=close, length=length, atr_length=atr_length, offset=offset, **kwargs)
|
||||
return self._post_process(result, **kwargs)
|
||||
|
||||
@@ -1423,7 +1363,6 @@ class AnalysisIndicators(BasePandasObject):
|
||||
high = self._get_column(kwargs.pop("high", "high"))
|
||||
low = self._get_column(kwargs.pop("low", "low"))
|
||||
close = self._get_column(kwargs.pop("close", "close"))
|
||||
|
||||
result = accbands(high=high, low=low, close=close, length=length, c=c, mamode=mamode, offset=offset, **kwargs)
|
||||
return self._post_process(result, **kwargs)
|
||||
|
||||
@@ -1431,7 +1370,6 @@ class AnalysisIndicators(BasePandasObject):
|
||||
high = self._get_column(kwargs.pop("high", "high"))
|
||||
low = self._get_column(kwargs.pop("low", "low"))
|
||||
close = self._get_column(kwargs.pop("close", "close"))
|
||||
|
||||
result = atr(high=high, low=low, close=close, length=length, mamode=mamode, offset=offset, **kwargs)
|
||||
return self._post_process(result, **kwargs)
|
||||
|
||||
@@ -1443,7 +1381,6 @@ class AnalysisIndicators(BasePandasObject):
|
||||
def donchian(self, lower_length=None, upper_length=None, offset=None, **kwargs):
|
||||
high = self._get_column(kwargs.pop("high", "high"))
|
||||
low = self._get_column(kwargs.pop("low", "low"))
|
||||
|
||||
result = donchian(high=high, low=low, lower_length=lower_length, upper_length=upper_length, offset=offset, **kwargs)
|
||||
return self._post_process(result, **kwargs)
|
||||
|
||||
@@ -1456,14 +1393,12 @@ class AnalysisIndicators(BasePandasObject):
|
||||
high = self._get_column(kwargs.pop("high", "high"))
|
||||
low = self._get_column(kwargs.pop("low", "low"))
|
||||
close = self._get_column(kwargs.pop("close", "close"))
|
||||
|
||||
result = kc(high=high, low=low, close=close, length=length, scalar=scalar, mamode=mamode, offset=offset, **kwargs)
|
||||
return self._post_process(result, **kwargs)
|
||||
|
||||
def massi(self, fast=None, slow=None, offset=None, **kwargs):
|
||||
high = self._get_column(kwargs.pop("high", "high"))
|
||||
low = self._get_column(kwargs.pop("low", "low"))
|
||||
|
||||
result = massi(high=high, low=low, fast=fast, slow=slow, offset=offset, **kwargs)
|
||||
return self._post_process(result, **kwargs)
|
||||
|
||||
@@ -1471,7 +1406,6 @@ class AnalysisIndicators(BasePandasObject):
|
||||
high = self._get_column(kwargs.pop("high", "high"))
|
||||
low = self._get_column(kwargs.pop("low", "low"))
|
||||
close = self._get_column(kwargs.pop("close", "close"))
|
||||
|
||||
result = natr(high=high, low=low, close=close, length=length, mamode=mamode, scalar=scalar, offset=offset, **kwargs)
|
||||
return self._post_process(result, **kwargs)
|
||||
|
||||
@@ -1480,7 +1414,6 @@ class AnalysisIndicators(BasePandasObject):
|
||||
high = self._get_column(kwargs.pop("high", "high"))
|
||||
low = self._get_column(kwargs.pop("low", "low"))
|
||||
close = self._get_column(kwargs.pop("close", "close"))
|
||||
|
||||
result = pdist(open_=open_, high=high, low=low, close=close, drift=drift, offset=offset, **kwargs)
|
||||
return self._post_process(result, **kwargs)
|
||||
|
||||
@@ -1488,14 +1421,12 @@ class AnalysisIndicators(BasePandasObject):
|
||||
high = self._get_column(kwargs.pop("high", "high"))
|
||||
low = self._get_column(kwargs.pop("low", "low"))
|
||||
close = self._get_column(kwargs.pop("close", "close"))
|
||||
|
||||
result = rvi(high=high, low=low, close=close, length=length, scalar=scalar, refined=refined, thirds=thirds, mamode=mamode, drift=drift, offset=offset, **kwargs)
|
||||
return self._post_process(result, **kwargs)
|
||||
|
||||
def thermo(self, long=None, short= None, length=None, mamode=None, drift=None, offset=None, **kwargs):
|
||||
high = self._get_column(kwargs.pop("high", "high"))
|
||||
low = self._get_column(kwargs.pop("low", "low"))
|
||||
|
||||
result = thermo(high=high, low=low, long=long, short=short, length=length, mamode=mamode, drift=drift, offset=offset, **kwargs)
|
||||
return self._post_process(result, **kwargs)
|
||||
|
||||
@@ -1503,7 +1434,6 @@ class AnalysisIndicators(BasePandasObject):
|
||||
high = self._get_column(kwargs.pop("high", "high"))
|
||||
low = self._get_column(kwargs.pop("low", "low"))
|
||||
close = self._get_column(kwargs.pop("close", "close"))
|
||||
|
||||
result = true_range(high=high, low=low, close=close, drift=drift, offset=offset, **kwargs)
|
||||
return self._post_process(result, **kwargs)
|
||||
|
||||
@@ -1520,7 +1450,6 @@ class AnalysisIndicators(BasePandasObject):
|
||||
low = self._get_column(kwargs.pop("low", "low"))
|
||||
close = self._get_column(kwargs.pop("close", "close"))
|
||||
volume = self._get_column(kwargs.pop("volume", "volume"))
|
||||
|
||||
result = ad(high=high, low=low, close=close, volume=volume, open_=open_, signed=signed, offset=offset, **kwargs)
|
||||
return self._post_process(result, **kwargs)
|
||||
|
||||
@@ -1531,14 +1460,12 @@ class AnalysisIndicators(BasePandasObject):
|
||||
low = self._get_column(kwargs.pop("low", "low"))
|
||||
close = self._get_column(kwargs.pop("close", "close"))
|
||||
volume = self._get_column(kwargs.pop("volume", "volume"))
|
||||
|
||||
result = adosc(high=high, low=low, close=close, volume=volume, open_=open_, fast=fast, slow=slow, signed=signed, offset=offset, **kwargs)
|
||||
return self._post_process(result, **kwargs)
|
||||
|
||||
def aobv(self, fast=None, slow=None, mamode=None, max_lookback=None, min_lookback=None, offset=None, **kwargs):
|
||||
close = self._get_column(kwargs.pop("close", "close"))
|
||||
volume = self._get_column(kwargs.pop("volume", "volume"))
|
||||
|
||||
result = aobv(close=close, volume=volume, fast=fast, slow=slow, mamode=mamode, max_lookback=max_lookback, min_lookback=min_lookback, offset=offset, **kwargs)
|
||||
return self._post_process(result, **kwargs)
|
||||
|
||||
@@ -1549,14 +1476,12 @@ class AnalysisIndicators(BasePandasObject):
|
||||
low = self._get_column(kwargs.pop("low", "low"))
|
||||
close = self._get_column(kwargs.pop("close", "close"))
|
||||
volume = self._get_column(kwargs.pop("volume", "volume"))
|
||||
|
||||
result = cmf(high=high, low=low, close=close, volume=volume, open_=open_, length=length, offset=offset, **kwargs)
|
||||
return self._post_process(result, **kwargs)
|
||||
|
||||
def efi(self, length=None, mamode=None, offset=None, drift=None, **kwargs):
|
||||
close = self._get_column(kwargs.pop("close", "close"))
|
||||
volume = self._get_column(kwargs.pop("volume", "volume"))
|
||||
|
||||
result = efi(close=close, volume=volume, length=length, offset=offset, mamode=mamode, drift=drift, **kwargs)
|
||||
return self._post_process(result, **kwargs)
|
||||
|
||||
@@ -1565,7 +1490,6 @@ class AnalysisIndicators(BasePandasObject):
|
||||
low = self._get_column(kwargs.pop("low", "low"))
|
||||
close = self._get_column(kwargs.pop("close", "close"))
|
||||
volume = self._get_column(kwargs.pop("volume", "volume"))
|
||||
|
||||
result = eom(high=high, low=low, close=close, volume=volume, length=length, divisor=divisor, offset=offset, drift=drift, **kwargs)
|
||||
return self._post_process(result, **kwargs)
|
||||
|
||||
@@ -1574,55 +1498,47 @@ class AnalysisIndicators(BasePandasObject):
|
||||
low = self._get_column(kwargs.pop("low", "low"))
|
||||
close = self._get_column(kwargs.pop("close", "close"))
|
||||
volume = self._get_column(kwargs.pop("volume", "volume"))
|
||||
|
||||
result = mfi(high=high, low=low, close=close, volume=volume, length=length, drift=drift, offset=offset, **kwargs)
|
||||
return self._post_process(result, **kwargs)
|
||||
|
||||
def nvi(self, length=None, initial=None, signed=True, offset=None, **kwargs):
|
||||
close = self._get_column(kwargs.pop("close", "close"))
|
||||
volume = self._get_column(kwargs.pop("volume", "volume"))
|
||||
|
||||
result = nvi(close=close, volume=volume, length=length, initial=initial, signed=signed, offset=offset, **kwargs)
|
||||
return self._post_process(result, **kwargs)
|
||||
|
||||
def obv(self, offset=None, **kwargs):
|
||||
close = self._get_column(kwargs.pop("close", "close"))
|
||||
volume = self._get_column(kwargs.pop("volume", "volume"))
|
||||
|
||||
result = obv(close=close, volume=volume, offset=offset, **kwargs)
|
||||
return self._post_process(result, **kwargs)
|
||||
|
||||
def pvi(self, length=None, initial=None, signed=True, offset=None, **kwargs):
|
||||
close = self._get_column(kwargs.pop("close", "close"))
|
||||
volume = self._get_column(kwargs.pop("volume", "volume"))
|
||||
|
||||
result = pvi(close=close, volume=volume, length=length, initial=initial, signed=signed, offset=offset, **kwargs)
|
||||
return self._post_process(result, **kwargs)
|
||||
|
||||
def pvol(self, volume=None, offset=None, **kwargs):
|
||||
close = self._get_column(kwargs.pop("close", "close"))
|
||||
volume = self._get_column(kwargs.pop("volume", "volume"))
|
||||
|
||||
result = pvol(close=close, volume=volume, offset=offset, **kwargs)
|
||||
return self._post_process(result, **kwargs)
|
||||
|
||||
def pvr(self, **kwargs):
|
||||
close = self._get_column(kwargs.pop("close", "close"))
|
||||
volume = self._get_column(kwargs.pop("volume", "volume"))
|
||||
|
||||
result = pvr(close=close, volume=volume)
|
||||
return self._post_process(result, **kwargs)
|
||||
|
||||
def pvt(self, offset=None, **kwargs):
|
||||
close = self._get_column(kwargs.pop("close", "close"))
|
||||
volume = self._get_column(kwargs.pop("volume", "volume"))
|
||||
|
||||
result = pvt(close=close, volume=volume, offset=offset, **kwargs)
|
||||
return self._post_process(result, **kwargs)
|
||||
|
||||
def vp(self, width=None, percent=None, **kwargs):
|
||||
close = self._get_column(kwargs.pop("close", "close"))
|
||||
volume = self._get_column(kwargs.pop("volume", "volume"))
|
||||
|
||||
result = vp(close=close, volume=volume, width=width, percent=percent, **kwargs)
|
||||
return self._post_process(result, **kwargs)
|
||||
|
||||
Reference in New Issue
Block a user