femtotrader / pandas_talib Goto Github PK

There is some while loops.
Move to for loops (with enumerate) or ideally (if possible) remove loops using Numpy / Pandas

see TA-Lib/ta-lib-python#68

see #1

For continuous integration with Travis-CI apt package ta-lib should be allowed

https://github.com/travis-ci/apt-package-whitelist#package-approval-process

What is current status of TA-Lib Debian package ?
https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=437177

see

travis-ci/apt-package-safelist#431

$ nosetests -s -v tests.test_pandas_talib:test_indicator_ROC

raises

Arrays are not almost equal to 7 decimals

x and y nan location mismatch:
 x: array([            nan,             nan,  -1.6632517e-02,  -1.7376779e-03,
        -8.6422326e-04,  -6.5179861e-03,  -1.9357306e-02,  -1.4724111e-03,
         2.5237212e-02,   4.0374865e-02,   1.4385414e-02,  -2.9944823e-02,...
 y: array([            nan,             nan,             nan,  -2.3665359e+00,
         4.5841804e-01,  -1.3623165e+00,  -1.3147031e+00,  -1.4223587e+00,
         1.8396280e+00,   4.5821285e+00,   3.4569644e+00,  -1.0468660e+00,...

Create unit tests to compare results of this Pandas implementation of TA-Lib with results of TA-Lib Python wrapper

see llazzaro/analyzer#8

Hi,

I was reviewing the code. I found some pep8 violations in the code (which I'm fixing).

I recommend to add this https://landscape.io

Also I recommend to view this video https://www.youtube.com/watch?v=wf-BqAjZb8M

When I tried to install pandas_tali using the command "pip install pandas_talib" I get the following error:

" Could not find a version that satisfies the requirement pandas_talib (from versions: )
No matching distribution found for pandas_talib"

Could anyone help?

Hi everyone,,

I am confused by the results. It seems there are multiple versions of MACD calculation to me. If not, why are they different? Please helps

print(p_df.head())
                 c
timestamp         
2017-04-19  2852.0
2017-04-20  2889.0
2017-04-21  2928.0
2017-04-24  2928.0
2017-04-25  2949.0
p_arr = np.array(p)
from pandas_talib import pandas_talib as pdta
macd1 = pdta.MACD(p_df, 12, 26, price='c')
print(macd1.tail(10))
                 c  MACD_12_26  MACDsign_12_26  MACDdiff_12_26
timestamp                                                     
2017-10-17  3738.0  -27.479893      -44.220449       16.740556
2017-10-18  3688.0  -27.154199      -40.807199       13.653000
2017-10-19  3604.0  -33.289945      -39.303748        6.013803
2017-10-20  3776.0  -23.997889      -36.242576       12.244687
2017-10-23  3699.0  -22.586382      -33.511337       10.924955
2017-10-24  3740.0  -17.952636      -30.399597       12.446961
2017-10-25  3705.0  -16.909496      -27.701577       10.792081
2017-10-26  3649.0  -20.366536      -26.234569        5.868032
2017-10-27  3577.0  -28.586273      -26.704910       -1.881363
2017-10-30  3571.0  -35.179075      -28.399743       -6.779332
import talib
macd2 = np.vstack(talib.MACD(p_arr, 12, 26, 9))
macd2 = pd.DataFrame(macd2.T, index=p_df.index, columns=['macd','macdsignal','macdhist'])
macd2 = p_df.join(macd2)
print(macd2.tail(10))
                 c       macd  macdsignal   macdhist
timestamp                                           
2017-10-17  3738.0 -27.384079  -44.076077  16.691997
2017-10-18  3688.0 -27.065785  -40.674018  13.608233
2017-10-19  3604.0 -33.208822  -39.180979   5.972157
2017-10-20  3776.0 -23.922497  -36.129283  12.206786
2017-10-23  3699.0 -22.516715  -33.406769  10.890054
2017-10-24  3740.0 -17.888063  -30.303028  12.414965
2017-10-25  3705.0 -16.849797  -27.612382  10.762585
2017-10-26  3649.0 -20.311556  -26.152217   5.840661
2017-10-27  3577.0 -28.535880  -26.628949  -1.906930
2017-10-30  3571.0 -35.132875  -28.329735  -6.803141

…]()

Provide help, docstring...

see also TA-Lib/ta-lib-python#67

Merging code with other projects might be considered

• pandas-finance davidastephens/pandas-finance#1
• Toolkit for integration and analysis
  https://github.com/bpsmith/tia

https://github.com/twopirllc/pandas-ta from @twopirllc
https://github.com/bukosabino/ta from @bukosabino

Two mode should exists:

• return results
• join results with input DataFrame

For now, there is only "join results with input DataFrame"

I was excited to see pandas_talib, as it's obviously needed, until I went to install it.

I will not, under any condition, install 107 packages (weighing 132 Mbytes compressed) and a language I don't have or like, to convert a 2940 byte README file into rst: 45bytes compressed installation for each byte converted! No matter what the problem is, pandoc is not the solution.

Please either convert the readme file to RST by hand, or if you really want to make the setup.py file overly-engineered, with additional setup dependencies that are unnecessary, try creole with:
https://github.com/jedie/python-creole/wiki/Use-In-Setup
It's purely Pythonic, has no Haskell, and is 106 packages weighing 132 Mbytes lighter!!!

:-)

see TA-Lib/ta-lib-python#66

When i try to import I get the following error:

ValueError Traceback (most recent call last)
in
----> 1 import talib as ta

~\anaconda3\lib\site-packages\talib_init_.py in
50 return wrapper
51
---> 52 from ._ta_lib import (
53 _ta_initialize, _ta_shutdown, MA_Type, ta_version,
54 _ta_set_unstable_period as set_unstable_period,

talib_ta_lib.pyx in init talib._ta_lib()

ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 88 from C header, got 80 from PyObject

I am running Python 3.8.5 and Numpy version 1.19.5

Here is the log:

$pip install pandas_talib 
Collecting pandas-talib
  Could not find a version that satisfies the requirement pandas-talib (from versions: )
No matching distribution found for pandas-talib

Tests are failing at line 85, at the tail of test_indicator_ATR.

I am new to your library and how should I use it. I didn't find any documentation regarding that

is this the correct

import pandas_talib 

mom=MOM(df_aapl,3)
rsi= RSI(df_aapl,3)
ma=MA(df_aapl,3)

except momentum indicator all other indicators dosent work and giving error

this is the code im using

from get_data import get_klines
import numpy
import pandas_ta as ta
ticker ='BTCUSDT'
interval = '15m'
depth = "20 hours ago UTC+3"

df =get_klines (ticker ,interval,depth)
print(df)

data = df.ta.vp(df['Close'],df['Volume'],width=10)

print(data)

the error

File "c:/Users/DELL/Desktop/begging/test.py", line 14, in
data = df.ta.vp(df['Close'],df['Volume'],width=10)
TypeError: vp() got multiple values for argument 'width'

anyhelp