pandas-ta: Pandas TA strategy method goes into infinite loop: Windows Freeze Support Error

@twopirllc I was trying to run the below code on a dataframe

df.ta.strategy("Momentum")
print(df)

It goes into infinite loop and consumes all CPU on my windows 10 laptop. Then I need to kill all VSCodium and python exes. Could you please help?

_Originally posted by @rahulmr in https://github.com/twopirllc/pandas-ta/issues/138#issuecomment-751864255_

About this issue

  • Original URL
  • State: closed
  • Created 4 years ago
  • Comments: 20 (6 by maintainers)

Most upvoted comments

You can close this issue if you do not want to investigate further, as I have got the solution which is as below: source code


import yfinance as yf
import pandas_ta as ta


def test():
    sbin = yf.Ticker("SBIN.NS")
    df = sbin.history(period="3d", interval="15m")
    df.ta.strategy("Momentum", verbose=True)
    print(df)

if __name__ == '__main__':
    test()

pwsh.exe console output

(venv) PS D:\trading\0sas_algo> cat .\crash.py
import yfinance as yf
import pandas_ta as ta


def test():
    sbin = yf.Ticker("SBIN.NS")
    df = sbin.history(period="3d", interval="15m")
    df.ta.strategy("Momentum", verbose=True)
    print(df)

if __name__ == '__main__':
    test()
(venv) PS D:\trading\0sas_algo> python .\crash.py
[+] Strategy: Momentum
[i] Indicator arguments: {'append': True}
[i] Excluded[10]: above, above_value, below, below_value, cross, cross_value, long_run, short_run, trend_return, vp
[i] Multiprocessing: 8 of 8 cores.
[i] Total indicators: 34
[i] Columns added: 55
                                 open        high         low       close   volume  Dividends  ...  STOCHd_14_3_3  STOCHRSIk_14_14_3_3  STOCHRSId_14_14_3_3  TRIX_30_9  TRIXs_30_9  TSI_13_25
datetime                                                                                       ...
2020-12-24 09:15:00+05:30  265.100006  266.549988  264.700012  266.299988  1653388          0  ...            NaN                  NaN                  NaN        NaN         NaN        NaN
2020-12-24 09:30:00+05:30  266.299988  266.649994  265.500000  266.299988  1346556          0  ...            NaN                  NaN                  NaN        NaN         NaN        NaN
2020-12-24 09:45:00+05:30  266.299988  266.450012  265.500000  266.100006   914542          0  ...            NaN                  NaN                  NaN        NaN         NaN        NaN
2020-12-24 10:00:00+05:30  266.100006  267.649994  266.100006  267.399994  1594715          0  ...            NaN                  NaN                  NaN        NaN         NaN        NaN
2020-12-24 10:15:00+05:30  267.299988  267.799988  266.649994  266.799988  1050138          0  ...            NaN                  NaN                  NaN        NaN         NaN        NaN
...                               ...         ...         ...         ...      ...        ...  ...            ...                  ...                  ...        ...         ...        ...
2020-12-29 14:15:00+05:30  278.000000  278.350006  277.049988  277.399994  1333187          0  ...      69.749927            62.894709            57.654916   1.585756    2.020604  27.573298
2020-12-29 14:30:00+05:30  277.500000  277.899994  276.500000  277.750000  1194604          0  ...      69.690995            54.537582            59.388621   1.498974    1.906078  26.838714
2020-12-29 14:45:00+05:30  277.649994  277.850006  276.850006  276.950012   841302          0  ...      65.919476            29.097088            48.843126   1.417326    1.798951  24.185578
2020-12-29 15:00:00+05:30  277.000000  278.399994  277.000000  277.950012  2298641          0  ...      63.675802            33.053394            38.896021   1.340583    1.698658  23.613085
2020-12-29 15:15:00+05:30  277.950012  278.450012  277.250000  277.750000  2537262          0  ...      62.222375            26.968237            29.706239   1.268367    1.604655  22.658487

[75 rows x 62 columns]
(venv) PS D:\trading\0sas_algo>
+5
rahulmr on Dec 29, 2020

Again tried with python 3.9.1 and still getting same issue. Control + C is also not working. Anyways this is not high priority for me. I will concentrate more on the other stuff. Will continue there. Let me know if you are able to reproduce this issue at your end. I can try to uploaded a video if I get time.

+2
rahulmr on Dec 28, 2020

Thank you for these posts, and especially thank you for your workaround @rahulmr !!

+1
nbodie13 on May 21, 2021

@rahulmr,

Excellent deductive work on figuring out the Issue. I have seen that wrapping it in __main__ before could solve the Issue. Glad that it works though!

Regards, KJ

+1
twopirllc on Dec 29, 2020

Great it is working on my docker container Details here:

root@node54310-pandas-r:~/sas# cat sbin.py
import yfinance as yf
import pandas_ta as ta


sbin = yf.Ticker("SBIN.NS")
df = sbin.history(period="3d", interval="15m")
df.ta.strategy("Momentum", verbose=True)
print(df)

root@node54310-pandas-r:~/sas# python sbin.py
[+] Strategy: Momentum
[i] Indicator arguments: {'append': True}
[i] Excluded[10]: above, above_value, below, below_value, cross, cross_value, long_run, short_run, trend_return, vp
[i] Multiprocessing: 3 of 3 cores.
[i] Total indicators: 34
[i] Columns added: 55
                                 open        high         low       close   volume  Dividends  Stock Splits  ...  SQZ_ON  SQZ_OFF  SQZ_NO  STOCHk_14_3_3  STOCHd_14_3_3  STOCHRSIk_14_14_3_3  STOCHRSId_14_14_3_3
datetime                                                                                                     ...                                                                                              
2020-12-24 09:15:00+05:30  265.100006  266.549988  264.700012  266.299988  1653388          0             0  ...       0        0       1            NaN            NaN                  NaN                  NaN
2020-12-24 09:30:00+05:30  266.299988  266.649994  265.500000  266.299988  1346556          0             0  ...       0        0       1            NaN            NaN                  NaN                  NaN
2020-12-24 09:45:00+05:30  266.299988  266.450012  265.500000  266.100006   914542          0             0  ...       0        0       1            NaN            NaN                  NaN                  NaN
2020-12-24 10:00:00+05:30  266.100006  267.649994  266.100006  267.399994  1594715          0             0  ...       0        0       1            NaN            NaN                  NaN                  NaN
2020-12-24 10:15:00+05:30  267.299988  267.799988  266.649994  266.799988  1050138          0             0  ...       0        0       1            NaN            NaN                  NaN                  NaN
...                               ...         ...         ...         ...      ...        ...           ...  ...     ...      ...     ...            ...            ...                  ...                  ...
2020-12-29 14:15:00+05:30  278.000000  278.350006  277.049988  277.399994  1333187          0             0  ...       0        1       0      70.481224      69.749927            62.894709            57.654916
2020-12-29 14:30:00+05:30  277.500000  277.899994  276.500000  277.750000  1194604          0             0  ...       1        0       0      68.110486      69.690995            54.537582            59.388621
2020-12-29 14:45:00+05:30  277.649994  277.850006  276.850006  276.950012   841302          0             0  ...       1        0       0      59.166718      65.919476            29.097088            48.843126
2020-12-29 15:00:00+05:30  277.000000  278.399994  277.000000  277.950012  2298641          0             0  ...       1        0       0      63.750203      63.675802            33.053394            38.896021
2020-12-29 15:15:00+05:30  277.950012  278.450012  277.250000  277.750000  2537262          0             0  ...       1        0       0      63.750203      62.222375            26.968237            29.706239

[75 rows x 62 columns]
root@node54310-pandas-r:~/sas#
+1
rahulmr on Dec 29, 2020

Let me try it on Linux container. And then I will add the updates.

+1
rahulmr on Dec 29, 2020

This is great - some kind of tricky issue for me.

It is working from python prompt.

>>> sbin = yf.Ticker("SBIN.NS")
>>> df = sbin.history(period="3d", interval="15m")
>>> df.ta.strategy("Momentum")
>>> print(df)
                                 open        high         low       close   volume  Dividends  Stock Splits  ...  FISHERTs_9_1  INERTIA_20_14      K_9_3      D_9_3      J_9_3  KST_10_15_20_30_10_10_10_15       KSTs_9
datetime                                                                                                     ...
2020-12-24 09:15:00+05:30  265.100006  266.549988  264.700012  266.299988  1653388          0             0  ...           NaN            NaN        NaN        NaN        NaN                          NaN          NaN
2020-12-24 09:30:00+05:30  266.299988  266.649994  265.500000  266.299988  1346556          0             0  ...           NaN            NaN        NaN        NaN        NaN                          NaN          NaN
2020-12-24 09:45:00+05:30  266.299988  266.450012  265.500000  266.100006   914542          0             0  ...           NaN            NaN        NaN        NaN        NaN                          NaN          NaN
2020-12-24 10:00:00+05:30  266.100006  267.649994  266.100006  267.399994  1594715          0             0  ...           NaN            NaN        NaN        NaN        NaN                          NaN          NaN
2020-12-24 10:15:00+05:30  267.299988  267.799988  266.649994  266.799988  1050138          0             0  ...           NaN            NaN        NaN        NaN        NaN                          NaN          NaN
...                               ...         ...         ...         ...      ...        ...           ...  ...           ...            ...        ...        ...        ...                          ...          ...
2020-12-29 14:15:00+05:30  278.000000  278.350006  277.049988  277.399994  1333187          0             0  ...      0.900915      36.517981  66.863205  64.981378  70.626858                  1306.427229  1751.919538
2020-12-29 14:30:00+05:30  277.500000  277.899994  276.500000  277.750000  1194604          0             0  ...      0.996842      38.154401  67.492137  65.818298  70.839814                  1252.954426  1640.715420
2020-12-29 14:45:00+05:30  277.649994  277.850006  276.850006  276.950012   841302          0             0  ...      0.887071      37.971401  57.302575  62.979723  45.948279                  1186.942713  1539.359095
2020-12-29 15:00:00+05:30  277.000000  278.399994  277.000000  277.950012  2298641          0             0  ...      0.700636      39.792620  59.254517  61.737988  54.287576                  1154.360291  1451.367812
2020-12-29 15:15:00+05:30  277.950012  278.450012  277.250000  277.750000  2537262          0             0  ...      0.442987      41.414788  56.169678  59.881885  48.745265                  1095.710145  1367.014473

[75 rows x 62 columns]

>>> ", ".join(df.columns)
'open, high, low, close, volume, Dividends, Stock Splits, UO_7_14_28, WILLR_14, MACD_12_26_9, MACDh_12_26_9, MACDs_12_26_9, MOM_10, PGO_14, PPO_12_26_9, PPOh_12_26_9, PPOs_12_26_9, PSL_12, PVO_12_26_9, PVOh_12_26_9, PVOs_12_26_9, ROC_10, RSI_14, RVGI_14_4, RVGIs_14_4, SLOPE_1, SMI_5_20_5, SMIs_5_20_5, SMIo_5_20_5, SQZ_20_2.0_20_1.5, SQZ_ON, SQZ_OFF, SQZ_NO, STOCHk_14_3_3, STOCHd_14_3_3, STOCHRSIk_14_14_3_3, STOCHRSId_14_14_3_3, TRIX_30_9, TRIXs_30_9, TSI_13_25, AO_5_34, APO_12_26, BIAS_SMA_26, BOP, AR_26, BR_26, CCI_14_0.015, CFO_9, CG_10, CMO_14, COPC_11_14_10, ER_10, BULLP_13, BEARP_13, FISHERT_9_1, FISHERTs_9_1, INERTIA_20_14, K_9_3, D_9_3, J_9_3, KST_10_15_20_30_10_10_10_15, KSTs_9'
>>>
+1
rahulmr on Dec 29, 2020

Also, what about the other code on the previous Issue? Or is that code not relevant?

No it is not relevant here. That issue is actually not an issue but help I need on how to work with pandas_ta. We will discuss it there.

+1
rahulmr on Dec 28, 2020
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