# How to read and extract p & q values from the given ACF & PACF plot with fluctuations?

So I am new to Time-Series and have started with some basic financial data. Since it was not covariance stationary, I transformed it by taking daily percentage changed. The data became stationary and I also concluded so by conducting Augmented DF Test. Here is the ACF & PACF plot of the transformed data:

I understand, that since both the plots don't clearly cut-off at some particular lag, this is not specifically a MA or an AR process, but maybe some ARMA process. But how do I now go about modelling my ARMA? How to conclude the p and q values? And most importantly, how do I validate all the assumptions of these processes?

EDIT 1: So, drawing from the above plots I have tried modelling an ARMA process with p & q values as 1 and here is the summary:

It seems like, even before any further analysis of residuals etc, since the coefficient of MA(1) is not significant enough, can I conclude that ARMA is not fit for the process? And so I should not use this model, and try for the AR model? I am completely in the blank here. Will keep this thread updated with my research.

Here is the original data (the one which is raw, not transformed, and is not covariance stationary):

2020-03-02,119.10955047607422
2020-03-03,114.64000701904295
2020-03-04,117.4726791381836
2020-03-05,111.70932006835938
2020-03-06,105.93614959716795
2020-03-09,91.5865478515625
2020-03-10,98.7025375366211
2020-03-11,94.05655670166016
2020-03-12,86.30345916748047
2020-03-13,101.84886932373048
2020-03-16,86.60730743408203
2020-03-17,91.90019989013672
2020-03-18,82.2259750366211
2020-03-19,83.6080093383789
2020-03-20,81.84371948242188
2020-03-23,77.4623794555664
2020-03-24,86.6759262084961
2020-03-25,89.91046905517578
2020-03-26,96.17372131347656
2020-03-27,89.3223648071289
2020-03-30,91.6453628540039
2020-03-31,88.24418640136719
2020-04-01,82.68665313720703
2020-04-02,85.774169921875
2020-04-03,83.23888397216797
2020-04-06,88.59666442871094
2020-04-07,89.7652816772461
2020-04-08,93.38996124267578
2020-04-09,101.76831817626952
2020-04-13,97.24242401123048
2020-04-14,94.57837677001952
2020-04-15,89.91383361816406
2020-04-16,86.48722839355469
2020-04-17,94.26146697998048
2020-04-20,90.824951171875
2020-04-21,88.19062805175781
2020-04-22,88.47782135009766
2020-04-23,88.52734375
2020-04-24,89.83460235595703
2020-04-27,93.70687866210938
2020-04-28,94.3704071044922
2020-04-29,96.91560363769531
2020-04-30,94.83587646484376
2020-05-01,92.35009002685548
2020-05-04,91.25080871582031
2020-05-05,91.1121597290039
2020-05-06,89.39884948730469
2020-05-07,90.32978057861328
2020-05-08,91.8053970336914
2020-05-11,89.10174560546875
2020-05-12,86.19011688232422
2020-05-13,83.21907043457031
2020-05-14,86.67538452148438
2020-05-15,85.07102966308594
2020-05-18,89.57711029052734
2020-05-19,87.81429290771484
2020-05-20,90.44862365722656
2020-05-21,89.29981231689453
2020-05-22,88.60657501220703
2020-05-26,94.89529418945312
2020-05-27,100.39173126220705
2020-05-28,98.89630126953124
2020-05-29,96.37091064453124
2020-06-01,97.6484603881836
2020-06-02,97.97528076171876
2020-06-03,103.26374053955078
2020-06-04,105.41280364990234
2020-06-05,110.15657806396484
2020-06-08,112.35514831542969
2020-06-09,109.47323608398438
2020-06-10,105.03646850585938
2020-06-11,96.2718734741211
2020-06-12,98.90621185302734
2020-06-15,100.27288818359376
2020-06-16,101.0750732421875
2020-06-17,98.5199737548828
2020-06-18,97.98518371582031
2020-06-19,96.8660888671875
2020-06-22,95.81631469726562
2020-06-23,96.98493194580078
2020-06-24,93.74649047851562
2020-06-25,97.01464080810548
2020-06-26,91.69645690917969
2020-06-29,92.10250854492188
2020-06-30,93.15227508544922
2020-07-01,92.36000061035156
2020-07-02,92.66000366210938
2020-07-06,95.0
2020-07-07,92.31999969482422
2020-07-08,93.3000030517578
2020-07-09,91.27999877929688
2020-07-10,96.2699966430664
2020-07-13,97.6500015258789
2020-07-14,98.20999908447266
2020-07-15,99.7300033569336
2020-07-16,100.01000213623048
2020-07-17,98.16000366210938
2020-07-20,97.3000030517578
2020-07-21,99.41000366210938
2020-07-22,98.69000244140624
2020-07-23,98.9800033569336
2020-07-24,98.27999877929688
2020-07-27,96.9000015258789
2020-07-28,97.31999969482422
2020-07-29,99.68000030517578
2020-07-30,97.0199966430664
2020-07-31,96.63999938964844
2020-08-03,96.0999984741211
2020-08-04,95.5500030517578
2020-08-05,97.20999908447266
2020-08-06,97.23999786376952
2020-08-07,99.37999725341795
2020-08-10,100.63999938964844
2020-08-11,103.81999969482422
2020-08-12,102.94000244140624
2020-08-13,102.37000274658205
2020-08-14,102.41000366210938
2020-08-17,99.70999908447266
2020-08-18,98.31999969482422
2020-08-19,98.5500030517578
2020-08-20,97.37000274658205
2020-08-21,97.31999969482422