mementum / bta-lib Goto Github PK

BTA-LIB is running into compatibility issues with Numpy. From backtrader forum:
bta-lib adx() error

@run-out I found the library version incompatibility! I was running with numpy v1.20.1, the latest version. I installed an older version, the version of numpy available right around when btalib v1.0.0 was released, numpy v1.18.2. It worked 🙌🏼 So that means bta-lib needs to be updated to work with the latest versions of pandas and numpy.
Thanks again for taking the time to work this out with me 👍🏼🌷
Here's my output now:

(sandbox) 13:13 • screener • master • d5822cb ✗
❯ python bta-adx.py
numpy v1.18.2
pandas v1.0.4
btalib v1.0.0
                 Open       High        Low  ...    Volume        rsi        adx
Date                                         ...
2021-03-22  79.989998  81.269997  79.220001  ...  39648600  44.939105  26.393616
2021-03-23  80.129997  80.339996  77.949997  ...  40466600  41.737588  26.112061
2021-03-24  77.550003  78.800003  76.400002  ...  43753600  38.792404  26.252038
2021-03-25  75.849998  76.949997  74.959999  ...  44735100  38.393151  26.729348
2021-03-26  76.620003  77.500000  75.029999  ...  49109400  41.367524  26.915669

Traceback (most recent call last):
File "/Users/cosmos/GitHub/haasomeapitools/.env/lib/python3.7/site-packages/pandas/core/series.py", line 1014, in setitem
self._set_with_engine(key, value)
File "/Users/cosmos/GitHub/haasomeapitools/.env/lib/python3.7/site-packages/pandas/core/series.py", line 1054, in _set_with_engine
self.index._engine.set_value(values, key, value)
File "pandas/_libs/index.pyx", line 96, in pandas._libs.index.IndexEngine.set_value
File "pandas/_libs/index.pyx", line 106, in pandas._libs.index.IndexEngine.set_value
File "pandas/_libs/index.pyx", line 116, in pandas._libs.index.IndexEngine.get_loc
TypeError: 'slice(11, None, None)' is an invalid key

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/Users/cosmos/GitHub/haasomeapitools/btalibtest.py", line 23, in
mama, fama = btalib.mama(data.High,data.Low,fastlimit=10,slowlimit=5)
File "/Users/cosmos/GitHub/haasomeapitools/.env/lib/python3.7/site-packages/btalib/indicator.py", line 152, in call
b_init(self, *args, **kwargs)
File "/Users/cosmos/GitHub/haasomeapitools/.env/lib/python3.7/site-packages/btalib/indicators/mama.py", line 79, in init
_mama = p0._ewm(alpha=alpha, span=1, _seed=SEED_ZERO)._mean()
File "/Users/cosmos/GitHub/haasomeapitools/.env/lib/python3.7/site-packages/btalib/meta/lines.py", line 357, in _mean
return self._apply(_dynalpha) # triggers getattr for _apply
File "/Users/cosmos/GitHub/haasomeapitools/.env/lib/python3.7/site-packages/btalib/meta/lines.py", line 379, in call_op
result[self._minidx:] = r = op(*sargs, **kwargs) # run/store
File "/Users/cosmos/GitHub/haasomeapitools/.env/lib/python3.7/site-packages/pandas/core/series.py", line 1042, in setitem
self._set_with(key, value)
File "/Users/cosmos/GitHub/haasomeapitools/.env/lib/python3.7/site-packages/pandas/core/series.py", line 1064, in _set_with
return self._set_values(indexer, value)
File "/Users/cosmos/GitHub/haasomeapitools/.env/lib/python3.7/site-packages/pandas/core/series.py", line 1111, in _set_values
self._data = self._data.setitem(indexer=key, value=value)
File "/Users/cosmos/GitHub/haasomeapitools/.env/lib/python3.7/site-packages/pandas/core/internals/managers.py", line 561, in setitem
return self.apply("setitem", **kwargs)
File "/Users/cosmos/GitHub/haasomeapitools/.env/lib/python3.7/site-packages/pandas/core/internals/managers.py", line 442, in apply
applied = getattr(b, f)(**kwargs)
File "/Users/cosmos/GitHub/haasomeapitools/.env/lib/python3.7/site-packages/pandas/core/internals/blocks.py", line 877, in setitem
check_setitem_lengths(indexer, value, values)
File "/Users/cosmos/GitHub/haasomeapitools/.env/lib/python3.7/site-packages/pandas/core/indexers.py", line 124, in check_setitem_lengths
"cannot set using a slice indexer with a "

When I print this:
btalib.stochrsi(df['close'],period=8).df

I only get one column called "stochrsi". But in all trading platforms the "Stoch RSI" is 2 curves. How do I get the values of those 2 curves?

(The parameters for the Stoch RSI would be "Smooth K", "Smooth D", "RSI Length", "Stoch Length")

I am trying to calculate the ema with the default periods.

import btalib
import pandas as pd
df = pd.read_csv("C:\\data\\nifty2019.csv")
df['Date'] = pd.to_datetime(df['Date'])
kama = btalib.ema(df.Close)

This is giving me an error trace like below. Can you help me to see if something is wrong with the way I am using it?

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
C:\app\Anaconda3\lib\site-packages\pandas\core\series.py in __setitem__(self, key, value)
   1013         try:
-> 1014             self._set_with_engine(key, value)
   1015         except com.SettingWithCopyError:

C:\app\Anaconda3\lib\site-packages\pandas\core\series.py in _set_with_engine(self, key, value)
   1053         try:
-> 1054             self.index._engine.set_value(values, key, value)
   1055             return

pandas\_libs\index.pyx in pandas._libs.index.IndexEngine.set_value()

pandas\_libs\index.pyx in pandas._libs.index.IndexEngine.set_value()

pandas\_libs\index.pyx in pandas._libs.index.IndexEngine.get_loc()

TypeError: 'slice(29, None, None)' is an invalid key

During handling of the above exception, another exception occurred:

ValueError                                Traceback (most recent call last)
<ipython-input-3-3a859967fb56> in <module>
----> 1 kama = btalib.ema(df.Close)

C:\app\Anaconda3\lib\site-packages\btalib\indicator.py in __call__(cls, *args, **kwargs)
    150         # Auto-call base classes
    151         for b_init in reversed(list(dict.fromkeys(b.__init__ for b in bases))):
--> 152             b_init(self, *args, **kwargs)
    153 
    154         # delete old aliases only meant for operational purposes

C:\app\Anaconda3\lib\site-packages\btalib\indicators\ema.py in __init__(self, poffset)
     37     def __init__(self, poffset=0):  # see above for poffset
     38         span, seed, poff = self.p.period, self.p._seed, poffset
---> 39         self.o.ema = self.i0._ewm(span=span, _seed=seed, _poffset=poff).mean()

C:\app\Anaconda3\lib\site-packages\btalib\meta\lines.py in call_op(*args, **kwargs)
    377                     sargs.append(arg)
    378 
--> 379                 result[self._minidx:] = r = op(*sargs, **kwargs)  # run/store
    380                 result = result.astype(r.dtype, copy=False)
    381                 return self._line._clone(result, period=self._minperiod)

C:\app\Anaconda3\lib\site-packages\pandas\core\series.py in __setitem__(self, key, value)
   1040                     pass
   1041 
-> 1042             self._set_with(key, value)
   1043 
   1044         if cacher_needs_updating:

C:\app\Anaconda3\lib\site-packages\pandas\core\series.py in _set_with(self, key, value)
   1062         if isinstance(key, slice):
   1063             indexer = self.index._convert_slice_indexer(key, kind="getitem")
-> 1064             return self._set_values(indexer, value)
   1065 
   1066         elif is_scalar(key) and not is_integer(key) and key not in self.index:

C:\app\Anaconda3\lib\site-packages\pandas\core\series.py in _set_values(self, key, value)
   1109         if isinstance(key, Series):
   1110             key = key._values
-> 1111         self._data = self._data.setitem(indexer=key, value=value)
   1112         self._maybe_update_cacher()
   1113 

C:\app\Anaconda3\lib\site-packages\pandas\core\internals\managers.py in setitem(self, **kwargs)
    559 
    560     def setitem(self, **kwargs):
--> 561         return self.apply("setitem", **kwargs)
    562 
    563     def putmask(self, **kwargs):

C:\app\Anaconda3\lib\site-packages\pandas\core\internals\managers.py in apply(self, f, filter, **kwargs)
    440                 applied = b.apply(f, **kwargs)
    441             else:
--> 442                 applied = getattr(b, f)(**kwargs)
    443             result_blocks = _extend_blocks(applied, result_blocks)
    444 

C:\app\Anaconda3\lib\site-packages\pandas\core\internals\blocks.py in setitem(self, indexer, value)
    875 
    876         # length checking
--> 877         check_setitem_lengths(indexer, value, values)
    878         exact_match = (
    879             len(arr_value.shape)

C:\app\Anaconda3\lib\site-packages\pandas\core\indexers.py in check_setitem_lengths(indexer, value, values)
    121             if len(value) != length_of_indexer(indexer, values):
    122                 raise ValueError(
--> 123                     "cannot set using a slice indexer with a "
    124                     "different length than the value"
    125                 )

ValueError: cannot set using a slice indexer with a different length than the value

I am running a MultiplexSocket on Binance API to get 5 minute klines of around 200 symbols. On every new completed candle I call a "run_technical_analysis" function. Inside that function I calculate indicators for each symbol like this:

period = 14
value = btalib.ema(candlesticks_df.tail(period + 1), period=period) ## Version A
#value = candlesticks_df.Close.tail(14).ewm(span=14).mean() ## Version B

After that I append value.df.tail(1) to a list. On Version A my RAM goes up almost 10 MB every 5 minutes. It seems like the allocated memory for 'value' is not beeing freed. When I use Version B instead there is no such issue.

What can I do to reduce that memory usage?

https://www.backtrader.com/home/helloalgotrading/

Exception has occurred: FileNotFoundError       (note: full exception trace is shown but execution is paused at: _run_module_as_main)
[Errno 2] No such file or directory: 'MSFT'
  File "D:\anaconda3\Lib\site-packages\backtrader\feed.py", line 674, in start
    self.f = io.open(self.p.dataname, 'r')
  File "D:\anaconda3\Lib\site-packages\backtrader\feeds\yahoo.py", line 94, in start
    super(YahooFinanceCSVData, self).start()
  File "D:\anaconda3\Lib\site-packages\backtrader\feeds\yahoo.py", line 355, in start
    super(YahooFinanceData, self).start()
  File "D:\anaconda3\Lib\site-packages\backtrader\feed.py", line 203, in _start
    self.start()
  File "D:\anaconda3\Lib\site-packages\backtrader\cerebro.py", line 1210, in runstrategies
    data._start()
  File "D:\anaconda3\Lib\site-packages\backtrader\cerebro.py", line 1127, in run
    runstrat = self.runstrategies(iterstrat)
  File "D:\code\digifinex\backTrader\1.py", line 37, in <module>
    cerebro.run()  # run it all
  File "D:\anaconda3\Lib\runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "D:\anaconda3\Lib\runpy.py", line 97, in _run_module_code
    _run_code(code, mod_globals, init_globals,
  File "D:\anaconda3\Lib\runpy.py", line 265, in run_path
    return _run_module_code(code, init_globals, run_name,
  File "D:\anaconda3\Lib\runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "D:\anaconda3\Lib\runpy.py", line 194, in _run_module_as_main (Current frame)
    return _run_code(code, main_globals, None,

Hello, I'm trying to use btalib and I'm having some trouble when having it run from inside a thread.

The below code works fine:

import [...]

symbol = 'BTCEUR'

with open('./data/' + symbol + '/' + symbol + '_kline.p', 'rb') as handle:
    kline_df = pickle.load(handle)

sma = btalib.sma(kline_df).df
print(sma)

But when I try to use threads...

import [...]

symbol = 'BTCEUR'

with open('./data/' + symbol + '/' + symbol + '_kline.p', 'rb') as handle:
    kline_df = pickle.load(handle)

def thread():
    sma = btalib.sma(kline_df).df
    print(sma)
    time.sleep(5)

x = threading.Thread(target=thread)
x.start()

... I get the following error:

Traceback (most recent call last):
  File "/usr/lib/python3.9/threading.py", line 954, in _bootstrap_inner
    self.run()
  File "/usr/lib/python3.9/threading.py", line 892, in run
    self._target(*self._args, **self._kwargs)
  File "/home/nick/storage/Documents/_Projects/Python/Crypto/btalib_test.py", line 13, in thread
    sma = btalib.sma(kline_df).df
  File "/home/nick/storage/Documents/_Projects/Python/Crypto/venv/lib/python3.9/site-packages/btalib/indicator.py", line 110, in __call__
    self.outputs = self.o = meta.outputs._from_class(cls)
  File "/home/nick/storage/Documents/_Projects/Python/Crypto/venv/lib/python3.9/site-packages/btalib/meta/outputs.py", line 30, in _from_class
    return _CLSOUTPUTS[cls]()  # defvals params in dict format
  File "/home/nick/storage/Documents/_Projects/Python/Crypto/venv/lib/python3.9/site-packages/btalib/meta/lines.py", line 630, in __init__
    metadata.minperiods[self] = [1] * len(self)
AttributeError: '_thread._local' object has no attribute 'minperiods'

Any help would be appreciated!

Im trying to use bta-lib to calculate rsi indicator although it was fine with the sma function but through an error on rsi function
'''
df=pd.read_csv('prices.csv')
sma=btalib.sma(df,period=9)#works fine
rsi=btalib.rsi(df,period=14)#through an error
'''
error= ValueError: cannot set using a slice indexer with a different length than the value... my df len is enough.

As I have mentioned on the community forum:
https://community.backtrader.com/topic/3687/bta-lib-and-bt-indicators-deliver-different-values-when-using-indicator-on-indicator

The bta-lib indicator on indicator gives different results than when using this in backtrader internally.

The problem surfaces when you use RSI on ATR for example.

atr14 = ATR(High, Low, Close, period=14)

This will return a pandas dataframe containing NaN values.

When you feed this to the next indicator, this results in different values from Backtrader:

rsi_atr = RSI(atr14, period=7)

In order to come up with the same results, one should implement the dataframe without the NaN values.

rsi_atr = RSI(atr14.dropna(), period=7)

I am uncertain considering the setup of the bta-lib framework if the dataframe returned from the functions should be stripped of NaN values (losing the index compatibility, don't think that is good) or if bta-lib functions should drop NaN values before computations.

However, in the Backtrader implementation this is done correctly. I feel bta-lib should deliver exactly the same results.

https://btalib.backtrader.com/introduction/

Cannot be accessed anymore.

I am trying to create trailing ATR with fixed multiplier using mult function but I failed as it throws AttributeError: 'float' object has no attribute 'index' and that makes sense.

My Question is how to do that? Should I need to add index and perform or is there a simple way to do that.

Looking for a direction.

https://en.wikipedia.org/wiki/Donchian_channel

SMMA Function is working good when calling in not threading modus however when code is running in muli thread we get the following error:

File "/home/engine.traderbot/src/indicators/smma.py", line 192, in __calculate_smma
tmp = btalib.smma(self.ohlc_data[self.source], period=self.length)

File "/home/anaconda/envs/traderbot/lib/python3.7/site-packages/btalib/indicator.py", line 110, in call
self.outputs = self.o = meta.outputs._from_class(cls)
File "/home/anaconda/envs/traderbot/lib/python3.7/site-packages/btalib/meta/outputs.py", line 30, in _from_class
return _CLSOUTPUTScls # defvals params in dict format
File "/home/anaconda/envs/traderbot/lib/python3.7/site-packages/btalib/meta/lines.py", line 630, in init
metadata.minperiods[self] = [1] * len(self)

https://www.metatrader5.com/en/terminal/help/indicators/bw_indicators/fractals

Can you add a Bill Williams fractals indicator to the library please?

import btalib
import pandas as pd

df = pd.read_csv('2006-day-001.txt', parse_dates=True, index_col='Date')
sma = btalib.sma(df)

gives AttributeError: module 'btalib' has no attribute 'sma'

Hi,
Thanks for this project! very convenient to use.
I am wondering if it supports dynamic update the indicator values as I feed more newly incoming data. If it is supported, how to do it? I seem not finding the information in the document. If not, is there a suggestion w.r.t how to implement the functionality in my own application on top of bta-lib? Thanks!

When I run

btalib.dx(btc_df.high, btc_df.low, btc_df.close)

or

btalib.dm(btc_df.high, btc_df.low)

with btc_df.high, btc_df.low and btc_df.close being columns from a pandas data frame (series of floats).

I get:

TypeError Traceback (most recent call last)
in
1 # import talib
2
----> 3 btalib.dx(btc_df.high, btc_df.low, btc_df.close)

~/Documents/external_projects/trading/venv/lib/python3.8/site-packages/btalib/indicator.py in call(cls, *args, **kwargs)
150 # Auto-call base classes
151 for b_init in reversed(list(dict.fromkeys(b.init for b in bases))):
--> 152 b_init(self, *args, **kwargs)
153
154 # delete old aliases only meant for operational purposes

~/Documents/external_projects/trading/venv/lib/python3.8/site-packages/btalib/indicators/directionalmove.py in init(self)
95 if self._plus: # upvmoe > 0 and where upmove > downmove
96 pdm = upmove.clip(lower=0.0) * (upmove > downmove)
---> 97 self._pdm = self._smoother(pdm, **smoothargs)
98
99 if self._minus: # downmove > 0 and where downmove > upmove

~/Documents/external_projects/trading/venv/lib/python3.8/site-packages/btalib/indicator.py in call(cls, *args, **kwargs)
150 # Auto-call base classes
151 for b_init in reversed(list(dict.fromkeys(b.init for b in bases))):
--> 152 b_init(self, *args, **kwargs)
153
154 # delete old aliases only meant for operational purposes

~/Documents/external_projects/trading/venv/lib/python3.8/site-packages/btalib/indicators/directionalmove.py in init(self)
50 p = self.p.period
51 _ewm = self.i0._ewm(span=p, _pearly=self.p._pearly, _seed=self.p._seed)
---> 52 self.o.smacc = _ewm._lfilter(alpha=1.0, beta=(p - 1) / p)
53
54 def _talib(self, kwdict):

~/Documents/external_projects/trading/venv/lib/python3.8/site-packages/btalib/meta/lines.py in _lfilter(self, alpha, beta)
341 return scipy.signal.lfilter([alpha], [1.0, -beta], x)
342
--> 343 return self._apply(_sp_lfilter) # trigger getattr for _apply
344
345 def _mean(self): # meant for ewm with dynamic alpha

~/Documents/external_projects/trading/venv/lib/python3.8/site-packages/btalib/meta/lines.py in call_op(*args, **kwargs)
377 sargs.append(arg)
378
--> 379 result[self._minidx:] = r = op(*sargs, **kwargs) # run/store
380 result = result.astype(r.dtype, copy=False)
381 return self._line._clone(result, period=self._minperiod)

~/Documents/external_projects/trading/venv/lib/python3.8/site-packages/pandas/core/window/rolling.py in _apply(self, func, name, numba_cache_key, **kwargs)
467 return result
468
--> 469 return self._apply_blockwise(homogeneous_func, name)
470
471 def aggregate(self, func, *args, **kwargs):

~/Documents/external_projects/trading/venv/lib/python3.8/site-packages/pandas/core/window/rolling.py in _apply_blockwise(self, homogeneous_func, name)
382 """
383 if self._selected_obj.ndim == 1:
--> 384 return self._apply_series(homogeneous_func, name)
385
386 obj = self._create_data(self._selected_obj)

~/Documents/external_projects/trading/venv/lib/python3.8/site-packages/pandas/core/window/rolling.py in _apply_series(self, homogeneous_func, name)
371 raise DataError("No numeric types to aggregate") from err
372
--> 373 result = homogeneous_func(values)
374 return obj._constructor(result, index=obj.index, name=obj.name)
375

~/Documents/external_projects/trading/venv/lib/python3.8/site-packages/pandas/core/window/rolling.py in homogeneous_func(values)
459 result = np.apply_along_axis(calc, self.axis, values)
460 else:
--> 461 result = calc(values)
462 result = np.asarray(result)
463

~/Documents/external_projects/trading/venv/lib/python3.8/site-packages/pandas/core/window/rolling.py in calc(x)
453 closed=self.closed,
454 )
--> 455 return func(x, start, end, min_periods)
456
457 with np.errstate(all="ignore"):

TypeError: _sp_lfilter() takes 1 positional argument but 4 were given

Python version 3.8.2

Package versions:

bta-lib 1.0.0
numpy 1.19.5
pandas 1.2.1
scipy 1.6.0

I am getting bunch of errors :
result[minidx:] = r = binop(other, *args, **kwargs) # exec / store
Traceback (most recent call last):
File "C:\IB\pyGame\ALGO_AMD.py", line 30, in
mama(amdDF).df
^^^^^^^^^^^
File "C:\IB\pyGame\venv\Lib\site-packages\btalib\indicator.py", line 152, in call
b_init(self, *args, **kwargs)
File "C:\IB\pyGame\venv\Lib\site-packages\btalib\indicators\mama.py", line 79, in init
_mama = p0._ewm(alpha=alpha, span=1, _seed=SEED_ZERO)._mean()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\IB\pyGame\venv\Lib\site-packages\btalib\meta\lines.py", line 357, in _mean
return self._apply(_dynalpha) # triggers getattr for _apply
^^^^^^^^^^^^^^^^^^^^^^
File "C:\IB\pyGame\venv\Lib\site-packages\btalib\meta\lines.py", line 379, in call_op
result[self._minidx:] = r = op(*sargs, **kwargs) # run/store
^^^^^^^^^^^^^^^^^^^^
TypeError: BaseWindow._apply() missing 1 required positional argument: 'name'

My code:
from ib_insync import *
import btalib
import pandas
from btalib import *
from btalib import bbands

ib = IB()
ib.connect('127.0.0.1', 7497, clientId=0)

amd_contract = Stock('AMD', 'SMART', 'USD')

ib.qualifyContracts(amd_contract)
data = ib.reqMktData(amd_contract)
ib.sleep(1)
print(data.marketPrice())

historical_data_amd = ib.reqHistoricalData(
amd_contract,
'',
barSizeSetting='3 mins',
durationStr='2 D',
whatToShow='TRADES',
useRTH=True
)
amdDF = util.df(historical_data_amd)
#amdH = amdDF.filter(['high','low'])
#amdL = amdDF.fi
#print(amdDF.high)
#print (bbands(amdDF).df)
mama(amdDF).df

I Apricate your help .

Thanks

Murthy

btalib.macd(df.close,pfast=12,pslow=26,psignal=9)

TypeError Traceback (most recent call last)
~/anaconda3/lib/python3.7/site-packages/pandas/core/series.py in setitem(self, key, value)
1013 try:
-> 1014 self._set_with_engine(key, value)
1015 except com.SettingWithCopyError:

~/anaconda3/lib/python3.7/site-packages/pandas/core/series.py in _set_with_engine(self, key, value)
1053 try:
-> 1054 self.index._engine.set_value(values, key, value)
1055 return

pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.set_value()

pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.set_value()

pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()

TypeError: 'slice(11, None, None)' is an invalid key

During handling of the above exception, another exception occurred:

ValueError Traceback (most recent call last)
in
----> 1 btalib.macd(df.close,pfast=12,pslow=26,psignal=9)

~/anaconda3/lib/python3.7/site-packages/btalib/indicator.py in call(cls, *args, **kwargs)
150 # Auto-call base classes
151 for b_init in reversed(list(dict.fromkeys(b.init for b in bases))):
--> 152 b_init(self, *args, **kwargs)
153
154 # delete old aliases only meant for operational purposes

~/anaconda3/lib/python3.7/site-packages/btalib/indicators/macd.py in init(self)
38
39 def init(self):
---> 40 ma1 = self.p._ma(self.i0, period=self.p.pfast, **self._talibkw)
41 ma2 = self.p._ma(self.i0, period=self.p.pslow)
42 self.o.macd = ma1 - ma2

~/anaconda3/lib/python3.7/site-packages/btalib/indicator.py in call(cls, *args, **kwargs)
150 # Auto-call base classes
151 for b_init in reversed(list(dict.fromkeys(b.init for b in bases))):
--> 152 b_init(self, *args, **kwargs)
153
154 # delete old aliases only meant for operational purposes

~/anaconda3/lib/python3.7/site-packages/btalib/indicators/ema.py in init(self, poffset)
37 def init(self, poffset=0): # see above for poffset
38 span, seed, poff = self.p.period, self.p._seed, poffset
---> 39 self.o.ema = self.i0._ewm(span=span, _seed=seed, _poffset=poff).mean()

~/anaconda3/lib/python3.7/site-packages/btalib/meta/lines.py in call_op(*args, **kwargs)
377 sargs.append(arg)
378
--> 379 result[self._minidx:] = r = op(*sargs, **kwargs) # run/store
380 result = result.astype(r.dtype, copy=False)
381 return self._line._clone(result, period=self._minperiod)

~/anaconda3/lib/python3.7/site-packages/pandas/core/series.py in setitem(self, key, value)
1040 pass
1041
-> 1042 self._set_with(key, value)
1043
1044 if cacher_needs_updating:

~/anaconda3/lib/python3.7/site-packages/pandas/core/series.py in _set_with(self, key, value)
1062 if isinstance(key, slice):
1063 indexer = self.index._convert_slice_indexer(key, kind="getitem")
-> 1064 return self._set_values(indexer, value)
1065
1066 elif is_scalar(key) and not is_integer(key) and key not in self.index:

~/anaconda3/lib/python3.7/site-packages/pandas/core/series.py in _set_values(self, key, value)
1109 if isinstance(key, Series):
1110 key = key._values
-> 1111 self._data = self._data.setitem(indexer=key, value=value)
1112 self._maybe_update_cacher()
1113

~/anaconda3/lib/python3.7/site-packages/pandas/core/internals/managers.py in setitem(self, **kwargs)
559
560 def setitem(self, **kwargs):
--> 561 return self.apply("setitem", **kwargs)
562
563 def putmask(self, **kwargs):

~/anaconda3/lib/python3.7/site-packages/pandas/core/internals/managers.py in apply(self, f, filter, **kwargs)
440 applied = b.apply(f, **kwargs)
441 else:
--> 442 applied = getattr(b, f)(**kwargs)
443 result_blocks = _extend_blocks(applied, result_blocks)
444

~/anaconda3/lib/python3.7/site-packages/pandas/core/internals/blocks.py in setitem(self, indexer, value)
875
876 # length checking
--> 877 check_setitem_lengths(indexer, value, values)
878 exact_match = (
879 len(arr_value.shape)

~/anaconda3/lib/python3.7/site-packages/pandas/core/indexers.py in check_setitem_lengths(indexer, value, values)
122 if len(value) != length_of_indexer(indexer, values):
123 raise ValueError(
--> 124 "cannot set using a slice indexer with a "
125 "different length than the value"
126 )

ValueError: cannot set using a slice indexer with a different length than the value